-
Why Do Nasolabial Folds Appear? Exploring the Anatomical Perspectives and the Role of Thread-Based Interventions
-
Short-Wavelength Infrared Imaging of Infected and Affected Dentin
-
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
-
Advancing Evidence Generation for Circulating Tumor DNA: Lessons Learned from A Multi-Assay Study of Baseline Circulating Tumor DNA Levels across Cancer Types and Stages
-
Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years
Journal Description
Diagnostics
Diagnostics
is an international, peer-reviewed, open access journal on medical diagnosis published semimonthly online by MDPI. The British Neuro-Oncology Society (BNOS), the International Society for Infectious Diseases in Obstetrics and Gynaecology (ISIDOG) and the Swiss Union of Laboratory Medicine (SULM) are affiliated with Diagnostics and their members receive a discount on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubMed, PMC, Embase, Inspec, CAPlus / SciFinder, and other databases.
- Journal Rank: JCR - Q1 (Medicine, General and Internal) / CiteScore - Q2 (Internal Medicine)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 20.5 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the first half of 2024).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion journal: LabMed.
Impact Factor:
3.0 (2023);
5-Year Impact Factor:
3.1 (2023)
Latest Articles
Potential of Carbohydrate Antigen 19-9 and Serum Apolipoprotein A2-Isoforms in the Diagnosis of Stage 0 and IA Pancreatic Cancer
Diagnostics 2024, 14(17), 1920; https://doi.org/10.3390/diagnostics14171920 (registering DOI) - 30 Aug 2024
Abstract
Apolipoprotein A2-ATQ/AT (apoA2-ATQ/AT) is a new biomarker for diagnosing pancreatic cancer (PC). In this study, the value of blood carbohydrate antigen 19-9 (CA19-9) and apoA2-ATQ/AT levels in diagnosing stage 0 and IA PC was evaluated. During 2014–2021, 12 patients with stage 0 PC
[...] Read more.
Apolipoprotein A2-ATQ/AT (apoA2-ATQ/AT) is a new biomarker for diagnosing pancreatic cancer (PC). In this study, the value of blood carbohydrate antigen 19-9 (CA19-9) and apoA2-ATQ/AT levels in diagnosing stage 0 and IA PC was evaluated. During 2014–2021, 12 patients with stage 0 PC and 12 patients with IA PC (average age: 73.8 years) underwent resection at JA Onomichi General Hospital. In addition, the data of 200 healthy controls were collected from a community-based cohort study. Levels of two apoA2-isoforms were measured using enzyme-linked immunosorbent assay (ELISA) with specific antibodies to calculate the apoA2-i Index as a surrogate value for apoA2-ATQ/AT. The cutoff value for the apoA2-i Index was determined to be 62.9 μg/mL. CA19-9 levels were also measured through ELISA. Among all 24 patients with PC, the positivity rates for apoA2-i and CA19-9 were 33.3% and 25.0%, respectively. The positivity rates for apoA2-i and CA19-9 were 16.7% and 8.3% in patients with stage 0 PC and 50.0% and 41.7% in those with stage IA, respectively. For CA19-9-negative patients, the apoA2-i positivity rate was 9.1% in stage 0 and 42.9% in stage IA. The combined positivity rate for both markers was 16.7% in stage 0 and 66.7% in stage IA. Imaging findings in apoA2-i- and CA19-9-positive patients included pancreatic duct dilatation (87.5%/100%), duct stenosis (75.0%/50%), and atrophy (87.5%/66.7%). The imaging findings of this study suggest that apoA2-i may enhance the sensitivity for detecting CA19-9-negative stage 0 and IA PC, and complementary measurements with CA19-9 may be valuable for diagnosing early-stage PC. Therefore, minute PC with pancreatic duct dilation, duct stenosis, and atrophy may exhibit a high positivity rate, aiding differential diagnosis.
Full article
(This article belongs to the Special Issue Early Diagnosis of Pancreatic Cancer 2024)
Open AccessArticle
Machine Learning Models for Predicting Mortality in Patients with Cirrhosis and Acute Upper Gastrointestinal Bleeding at an Emergency Department: A Retrospective Cohort Study
by
Shih-Chien Tsai, Ching-Heng Lin, Cheng-C. J. Chu, Hsiang-Yun Lo, Chip-Jin Ng, Chun-Chuan Hsu and Shou-Yen Chen
Diagnostics 2024, 14(17), 1919; https://doi.org/10.3390/diagnostics14171919 (registering DOI) - 30 Aug 2024
Abstract
Background: Cirrhosis is a major global cause of mortality, and upper gastrointestinal (GI) bleeding significantly increases the mortality risk in these patients. Although scoring systems such as the Child–Pugh score and the Model for End-stage Liver Disease evaluate the severity of cirrhosis, none
[...] Read more.
Background: Cirrhosis is a major global cause of mortality, and upper gastrointestinal (GI) bleeding significantly increases the mortality risk in these patients. Although scoring systems such as the Child–Pugh score and the Model for End-stage Liver Disease evaluate the severity of cirrhosis, none of these systems specifically target the risk of mortality in patients with upper GI bleeding. In this study, we constructed machine learning (ML) models for predicting mortality in patients with cirrhosis and upper GI bleeding, particularly in emergency settings, to achieve early intervention and improve outcomes. Methods: In this retrospective study, we analyzed the electronic health records of adult patients with cirrhosis who presented at an emergency department (ED) with GI bleeding between 2001 and 2019. Data were divided into training and testing sets at a ratio of 90:10. The ability of three ML models—a linear regression model, an XGBoost (XGB) model, and a three-layer neural network model—to predict mortality in the patients was evaluated. Results: A total of 16,025 patients with cirrhosis and 32,826 ED visits for upper GI bleeding were included in the study. The in-hospital and ED mortality rates were 11.2% and 2.2%, respectively. The XGB model exhibited the highest performance in predicting both in-hospital and ED mortality (area under the receiver operating characteristic curve: 0.866 and 0.861, respectively). International normalized ratio, renal function, red blood cell distribution width, age, and white blood cell count were the strongest predictors in all the ML models. The median ED length of stay for the ED mortality group was 17.54 h (7.16–40.01 h). Conclusions: ML models can be used to predict mortality in patients with cirrhosis and upper GI bleeding. Of the three models, the XGB model exhibits the highest performance. Further research is required to determine the actual efficacy of our ML models in clinical settings.
Full article
(This article belongs to the Special Issue Applications of Artificial Intelligence in Gastrointestinal Diseases)
Open AccessArticle
Differential Functional Changes in Visual Performance during Acute Exposure to Microgravity Analogue and Their Potential Links with Spaceflight-Associated Neuro-Ocular Syndrome
by
Adrian Iftime, Ioana Teodora Tofolean, Victor Pintilie, Octavian Călinescu, Stefan Busnatu and Ioana Raluca Papacocea
Diagnostics 2024, 14(17), 1918; https://doi.org/10.3390/diagnostics14171918 - 30 Aug 2024
Abstract
Background: Spaceflight-Associated Neuro-Ocular Syndrome (SANS) is a complex pathology threatening the health of astronauts, with incompletely understood causes and no current specific functional diagnostic or screening test. We investigated the use of the differential performance of the visual system (central vs. perimacular visual
[...] Read more.
Background: Spaceflight-Associated Neuro-Ocular Syndrome (SANS) is a complex pathology threatening the health of astronauts, with incompletely understood causes and no current specific functional diagnostic or screening test. We investigated the use of the differential performance of the visual system (central vs. perimacular visual function) as a candidate marker of SANS-related pathology in a ground-based microgravity analogue. Methods: We used a simple reaction time (SRT) task to visual stimuli, presented in the central and perimacular field of view, as a measure of the overall performance of the visual function, during acute settings (first 10 min) of vertical, bed rest (BR), −6°, and −15° head-down tilt (HDT) presentations in healthy participants (n = 8). We built dose–response models linking the gravitational component to SRT distribution parameters in the central vs. perimacular areas. Results: Acute exposure to microgravity induces detectable changes between SRT distributions in the perimacular vs. central retina (increased mean, standard deviation, and tau component of the ex-Gaussian function) in HDT compared with vertical presentation. Conclusions: Functional testing of the perimacular retina might be beneficial for the earlier detection of SANS-related ailments in addition to regular testing of the central vision. Future diagnostic tests should consider the investigation of the extra-macular areas, particularly towards the optic disc.
Full article
(This article belongs to the Special Issue Visual Impairment: Diagnosis and Management)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01918/article_deploy/html/images/diagnostics-14-01918-g001-550.jpg?1725013659)
Figure 1
Open AccessReview
Application of Artificial Intelligence in Cone-Beam Computed Tomography for Airway Analysis: A Narrative Review
by
Izzati Nabilah Ismail, Pram Kumar Subramaniam, Khairul Bariah Chi Adam and Ahmad Badruddin Ghazali
Diagnostics 2024, 14(17), 1917; https://doi.org/10.3390/diagnostics14171917 - 30 Aug 2024
Abstract
Cone-beam computed tomography (CBCT) has emerged as a promising tool for the analysis of the upper airway, leveraging on its ability to provide three-dimensional information, minimal radiation exposure, affordability, and widespread accessibility. The integration of artificial intelligence (AI) in CBCT for airway analysis
[...] Read more.
Cone-beam computed tomography (CBCT) has emerged as a promising tool for the analysis of the upper airway, leveraging on its ability to provide three-dimensional information, minimal radiation exposure, affordability, and widespread accessibility. The integration of artificial intelligence (AI) in CBCT for airway analysis has shown improvements in the accuracy and efficiency of diagnosing and managing airway-related conditions. This review aims to explore the current applications of AI in CBCT for airway analysis, highlighting its components and processes, applications, benefits, challenges, and potential future directions. A comprehensive literature review was conducted, focusing on studies published in the last decade that discuss AI applications in CBCT airway analysis. Many studies reported the significant improvement in segmentation and measurement of airway volumes from CBCT using AI, thereby facilitating accurate diagnosis of airway-related conditions. In addition, these AI models demonstrated high accuracy and consistency in their application for airway analysis through automated segmentation tasks, volume measurement, and 3D reconstruction, which enhanced the diagnostic accuracy and allowed predictive treatment outcomes. Despite these advancements, challenges remain in the integration of AI into clinical workflows. Furthermore, variability in AI performance across different populations and imaging settings necessitates further validation studies. Continued research and development are essential to overcome current challenges and fully realize the potential of AI in airway analysis.
Full article
(This article belongs to the Special Issue Application of Cone Beam Computed Tomography for Maxillofacial Diseases, Second Edition)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01917/article_deploy/html/images/diagnostics-14-01917-g001-550.jpg?1725013660)
Figure 1
Open AccessArticle
Profile Photograph Classification Performance of Deep Learning Algorithms Trained Using Cephalometric Measurements: A Preliminary Study
by
Duygu Nur Cesur Kocakaya, Mehmet Birol Özel, Sultan Büşra Ay Kartbak, Muhammet Çakmak and Enver Alper Sinanoğlu
Diagnostics 2024, 14(17), 1916; https://doi.org/10.3390/diagnostics14171916 - 30 Aug 2024
Abstract
Extraoral profile photographs are crucial for orthodontic diagnosis, documentation, and treatment planning. The purpose of this study was to evaluate classifications made on extraoral patient photographs by deep learning algorithms trained using grouped patient pictures based on cephalometric measurements. Cephalometric radiographs and profile
[...] Read more.
Extraoral profile photographs are crucial for orthodontic diagnosis, documentation, and treatment planning. The purpose of this study was to evaluate classifications made on extraoral patient photographs by deep learning algorithms trained using grouped patient pictures based on cephalometric measurements. Cephalometric radiographs and profile photographs of 990 patients from the archives of Kocaeli University Faculty of Dentistry Department of Orthodontics were used for the study. FH-NA, FH-NPog, FMA and N-A-Pog measurements on patient cephalometric radiographs were carried out utilizing Webceph. 3 groups for every parameter were formed according to cephalometric values. Deep learning algorithms were trained using extraoral photographs of the patients which were grouped according to respective cephalometric measurements. 14 deep learning models were trained and tested for accuracy of prediction in classifying patient images. Accuracy rates of up to 96.67% for FH-NA groups, 97.33% for FH-NPog groups, 97.67% for FMA groups and 97.00% for N-A-Pog groups were obtained. This is a pioneering study where an attempt was made to classify clinical photographs using artificial intelligence architectures that were trained according to actual cephalometric values, thus eliminating or reducing the need for cephalometric X-rays in future applications for orthodontic diagnosis.
Full article
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01916/article_deploy/html/images/diagnostics-14-01916-g001-550.jpg?1725013259)
Figure 1
Open AccessReview
Diagnostic and Therapeutic Indications of Different Types of Mandibular Advancement Design for Patients with Obstructive Sleep Apnea Syndrome: Indications from Literature Review and Case Descriptions
by
Antonino Lo Giudice, Salvatore La Rosa, Giuseppe Palazzo and Carmelo Federico
Diagnostics 2024, 14(17), 1915; https://doi.org/10.3390/diagnostics14171915 - 30 Aug 2024
Abstract
Background: Mandibular advancement devices (MADs) are considered a primary alternative treatment for adults with moderate to severe obstructive sleep apnea (OSA) who are unable to tolerate or do not respond to continuous positive airway pressure (CPAP) therapy, supported by substantial scientific evidence. While
[...] Read more.
Background: Mandibular advancement devices (MADs) are considered a primary alternative treatment for adults with moderate to severe obstructive sleep apnea (OSA) who are unable to tolerate or do not respond to continuous positive airway pressure (CPAP) therapy, supported by substantial scientific evidence. While a range of designs and materials for MADs are commercially available, there is a lack of clear diagnostic guidelines to assist clinicians in selecting the most appropriate device based on a multidisciplinary evaluation of OSA patients. This narrative review seeks to outline the key characteristics of MADs that clinicians should evaluate during both the diagnostic and treatment phases for patients with OSA. Methods: An extensive search of academic databases was conducted to gather relevant studies that address therapeutic and diagnostic recommendations for the design and titration of MADs. The search was carried out across EMBASE, Scopus, PubMed, and Web of Science up to May 2024. From a total of 1445 identified citations, 1103 remained after duplicate removal. Based on the inclusion criteria, the full text of 202 articles was retrieved, and 70 studies were ultimately included in this review. The extracted data were organized to generate clinical insights, aimed at guiding orthodontists in optimizing diagnostic and decision-making processes for treating OSA patients with MADs. Results: The analysis led to the identification of key clinical questions that can assist orthodontists in enhancing their approach and choosing the appropriate appliance basing on the diagnosis and clinical dento-orofacial characteristics. Conclusions: Bibloc appliances could be preferred over mono-bloc devices due to the possibility of arranging the mandibular advancement according to the patient’s clinical condition and orofacial symptoms. Provisional devices could be used as screening tools to verify the patient’s adherence to the therapy. Regardless of the MAD design, type and programmed advancement, it must be under-lined that the rule of the orthodontist/dental specialist is secondary to the other sleep-medicine specialists (ORL, pulmonologist) and must be related to (1) a preliminary assessment of MAD usage (dental anatomical conditions), (2) testing a diagnostic MAD usable during a sleep examination (PSG or DISE), (3) final treatment with a definitive MAD.
Full article
(This article belongs to the Special Issue Advanced Diagnosis and Treatment Plan for Orthodontic and Oro-Facial Rehabilitations)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01915/article_deploy/html/images/diagnostics-14-01915-g001-550.jpg?1725012591)
Figure 1
Open AccessArticle
Morphometric Analysis of the Mandibular Canal and Its Anatomical Variants in a Chilean Subpopulation: Cone Beam Computed Tomography Study
by
Jacob Guzmán, Jaime Abarca, Pablo Navarro, Ivonne Garay, Josep Arnabat-Domínguez and Pablo Betancourt
Diagnostics 2024, 14(17), 1914; https://doi.org/10.3390/diagnostics14171914 - 30 Aug 2024
Abstract
The inferior alveolar nerve (IAN), contained within the mandibular canal (MC), is a structure prone to damage in clinical and surgical procedures on the mandible. This study aimed to analyze the MC morphology and its anatomical variants in a Chilean subpopulation using cone
[...] Read more.
The inferior alveolar nerve (IAN), contained within the mandibular canal (MC), is a structure prone to damage in clinical and surgical procedures on the mandible. This study aimed to analyze the MC morphology and its anatomical variants in a Chilean subpopulation using cone beam computed tomography (CBCT). In total, 342 images from patients with the following parameters were observed: 120 kV, 9 mA, field of view 12 × 9 MC, and voxel size 0.12 mm. The average length of the MC recorded a mean value of 70.493 ± 4.987 mm on the right side and 70.805 ± 5.177 mm on the left side. The location of the mental foramen (MF) was most frequently found between the mandibular first and second premolar. The greatest bone thickness was found at the level of the basilar border of the 2MPM. The root closest to the MC was distal from the mandibular second molar. The lowest thickness was in the lingual area at 1MM. The prevalence of the anterior loop (AL) (61.5%) and the retromolar canal (RC) (17.5%) showed no significant differences between men and women. The results obtained showed that the morphology of the MC in the Chilean subpopulation can vary.
Full article
(This article belongs to the Special Issue Advances in Dental Imaging)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01914/article_deploy/html/images/diagnostics-14-01914-g001-550.jpg?1725009853)
Figure 1
Open AccessArticle
Prospective Comparison of Nine Different Handheld Ultrasound (HHUS) Devices by Ultrasound Experts with Regard to B-Scan Quality, Device Handling and Software in Abdominal Sonography
by
Daniel Merkel, Christian Lueders, Christoph Schneider, Masuod Yousefzada, Johannes Ruppert, Andreas Weimer, Moritz Herzog, Liv Annebritt Lorenz, Thomas Vieth, Holger Buggenhagen, Julia Weinmann-Menke and Johannes Matthias Weimer
Diagnostics 2024, 14(17), 1913; https://doi.org/10.3390/diagnostics14171913 - 30 Aug 2024
Abstract
Background: The HHUS market is very complex due to a multitude of equipment variants and several different device manufacturers. Only a few studies have compared different HHUS devices under clinical conditions. We conducted a comprehensive prospective observer study with a direct comparison of
[...] Read more.
Background: The HHUS market is very complex due to a multitude of equipment variants and several different device manufacturers. Only a few studies have compared different HHUS devices under clinical conditions. We conducted a comprehensive prospective observer study with a direct comparison of nine different HHUS devices in terms of B-scan quality, device handling, and software features under abdominal imaging conditions. Methods: Nine different HHUS devices (Butterfly iQ+, Clarius C3HD3, D5CL Microvue, Philips Lumify, SonoEye Chison, SonoSite iViz, Mindray TE Air, GE Vscan Air, and Youkey Q7) were used in a prospective setting by a total of 12 experienced examiners on the same subjects in each case and then assessed using a detailed questionnaire regarding B-scan quality, handling, and usability of the software. The evaluation was carried out using a point scale (5 points: very good; 1 point: insufficient). Results: In the overall evaluation, Vscan Air and SonoEye Chison achieved the best ratings. They achieved nominal ratings between “good” (4 points) and “very good” (5 points). Both devices differed significantly (p < 0.01) from the other seven devices tested. Among the HHUS devices, Clarius C3HD3 and Vscan Air achieved the best results for B-mode quality, D5CL Microvue achieved the best results for device handling, and SonoEye Chison and Vscan Air achieved the best results for software. Conclusions: This is the first comprehensive study to directly compare different HHUS devices in a head-to-head manner. While the majority of the tested devices demonstrated satisfactory performance, notable discrepancies were observed between them. In particular, the B-scan quality exhibited considerable variation, which may have implications for the clinical application of HHUS. The findings of this study can assist in the selection of an appropriate HHUS device for specific applications, considering the clinical objectives and acknowledging the inherent limitations.
Full article
(This article belongs to the Special Issue Recent Advances and Application of Point of Care Ultrasound)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01913/article_deploy/html/images/diagnostics-14-01913-g001-550.jpg?1725009467)
Figure 1
Open AccessReview
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation
by
Hamideh Kerdegari, Kyle Higgins, Dennis Veselkov, Ivan Laponogov, Inese Polaka, Miguel Coimbra, Junior Andrea Pescino, Mārcis Leja, Mário Dinis-Ribeiro, Tania Fleitas Kanonnikoff and Kirill Veselkov
Diagnostics 2024, 14(17), 1912; https://doi.org/10.3390/diagnostics14171912 - 30 Aug 2024
Abstract
The integration of artificial intelligence (AI) in medical diagnostics represents a significant advancement in managing upper gastrointestinal (GI) cancer, which is a major cause of global cancer mortality. Specifically for gastric cancer (GC), chronic inflammation causes changes in the mucosa such as atrophy,
[...] Read more.
The integration of artificial intelligence (AI) in medical diagnostics represents a significant advancement in managing upper gastrointestinal (GI) cancer, which is a major cause of global cancer mortality. Specifically for gastric cancer (GC), chronic inflammation causes changes in the mucosa such as atrophy, intestinal metaplasia (IM), dysplasia, and ultimately cancer. Early detection through endoscopic regular surveillance is essential for better outcomes. Foundation models (FMs), which are machine or deep learning models trained on diverse data and applicable to broad use cases, offer a promising solution to enhance the accuracy of endoscopy and its subsequent pathology image analysis. This review explores the recent advancements, applications, and challenges associated with FMs in endoscopy and pathology imaging. We started by elucidating the core principles and architectures underlying these models, including their training methodologies and the pivotal role of large-scale data in developing their predictive capabilities. Moreover, this work discusses emerging trends and future research directions, emphasizing the integration of multimodal data, the development of more robust and equitable models, and the potential for real-time diagnostic support. This review aims to provide a roadmap for researchers and practitioners in navigating the complexities of incorporating FMs into clinical practice for the prevention/management of GC cases, thereby improving patient outcomes.
Full article
(This article belongs to the Special Issue Deep Learning in Medical and Biomedical Image Processing)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01912/article_deploy/html/images/diagnostics-14-01912-g001-550.jpg?1725009353)
Figure 1
Open AccessArticle
RA-XTNet: A Novel CNN Model to Predict Rheumatoid Arthritis from Hand Radiographs and Thermal Images: A Comparison with CNN Transformer and Quantum Computing
by
Ahalya R. Kesavapillai, Shabnam M. Aslam, Snekhalatha Umapathy and Fadiyah Almutairi
Diagnostics 2024, 14(17), 1911; https://doi.org/10.3390/diagnostics14171911 - 30 Aug 2024
Abstract
The aim and objective of the research are to develop an automated diagnosis system for the prediction of rheumatoid arthritis (RA) based on artificial intelligence (AI) and quantum computing for hand radiographs and thermal images. The hand radiographs and thermal images were segmented
[...] Read more.
The aim and objective of the research are to develop an automated diagnosis system for the prediction of rheumatoid arthritis (RA) based on artificial intelligence (AI) and quantum computing for hand radiographs and thermal images. The hand radiographs and thermal images were segmented using a UNet++ model and color-based k-means clustering technique, respectively. The attributes from the segmented regions were generated using the Speeded-Up Robust Features (SURF) feature extractor and classification was performed using k-star and Hoeffding classifiers. For the ground truth and the predicted test image, the study utilizing UNet++ segmentation achieved a pixel-wise accuracy of 98.75%, an intersection over union (IoU) of 0.87, and a dice coefficient of 0.86, indicating a high level of similarity. The custom RA-X-ray thermal imaging (XTNet) surpassed all the models for the detection of RA with a classification accuracy of 90% and 93% for X-ray and thermal imaging modalities, respectively. Furthermore, the study employed quantum support vector machine (QSVM) as a quantum computing approach which yielded an accuracy of 93.75% and 87.5% for the detection of RA from hand X-ray and thermal images. In addition, vision transformer (ViT) was employed to classify RA which obtained an accuracy of 80% for hand X-rays and 90% for thermal images. Thus, depending on the performance measures, the RA-XTNet model can be used as an effective automated diagnostic method to diagnose RA accurately and rapidly in hand radiographs and thermal images.
Full article
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01911/article_deploy/html/images/diagnostics-14-01911-g001-550.jpg?1725006599)
Figure 1
Open AccessArticle
Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis
by
Liang-Hung Wang, Chao-Xin Xie, Tao Yang, Hong-Xin Tan, Ming-Hui Fan, I-Chun Kuo, Zne-Jung Lee, Tsung-Yi Chen, Pao-Cheng Huang, Shih-Lun Chen and Patricia Angela R. Abu
Diagnostics 2024, 14(17), 1910; https://doi.org/10.3390/diagnostics14171910 - 29 Aug 2024
Abstract
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of
[...] Read more.
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground–background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed to ensure consistency in amplitude, rather than solely in shape, for digital signals. The original signal reconstruction algorithm was validated with the MIT–BIH and PTB databases by comparing the difference between the reconstructed and the original signals. Moreover, the mean of the Pearson correlation coefficient was 0.97 and 0.98, respectively, while the mean absolute errors were 0.324 and 0.241, respectively. The method proposed in this study converts paper-recorded ECGs into a digital format, enabling direct analysis using software. Automated techniques for acquiring and restoring ECG reference voltages enhance the reconstruction accuracy. This innovative approach facilitates data storage, medical communication, and remote ECG analysis, and minimizes errors in remote diagnosis.
Full article
(This article belongs to the Special Issue Recent Advances in Cardiac Imaging: 2024)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01910/article_deploy/html/images/diagnostics-14-01910-g001-550.jpg?1724941865)
Figure 1
Open AccessReview
Genetics, Pathophysiology, and Current Challenges in Von Hippel–Lindau Disease Therapeutics
by
Laura Gómez-Virgilio, Mireya Velazquez-Paniagua, Lucero Cuazozon-Ferrer, Maria-del-Carmen Silva-Lucero, Andres-Ivan Gutierrez-Malacara, Juan-Ramón Padilla-Mendoza, Jessica Borbolla-Vázquez, Job-Alí Díaz-Hernández, Fausto-Alejandro Jiménez-Orozco and Maria-del-Carmen Cardenas-Aguayo
Diagnostics 2024, 14(17), 1909; https://doi.org/10.3390/diagnostics14171909 - 29 Aug 2024
Abstract
This review article focuses on von Hippel–Lindau (VHL) disease, a rare genetic disorder characterized by the development of tumors and cysts throughout the body. It discusses the following aspects of the disease. Genetics: VHL disease is caused by mutations in the VHL tumor
[...] Read more.
This review article focuses on von Hippel–Lindau (VHL) disease, a rare genetic disorder characterized by the development of tumors and cysts throughout the body. It discusses the following aspects of the disease. Genetics: VHL disease is caused by mutations in the VHL tumor suppressor gene located on chromosome 3. These mutations can be inherited or occur spontaneously. This article details the different types of mutations and their associated clinical features. Pathophysiology: The underlying cause of VHL disease is the loss of function of the VHL protein (pVHL). This protein normally regulates hypoxia-inducible factors (HIFs), which are involved in cell growth and survival. When pVHL is dysfunctional, HIF levels become elevated, leading to uncontrolled cell growth and tumor formation. Clinical Manifestations: VHL disease can affect various organs, including the brain, spinal cord, retina, kidneys, pancreas, and adrenal glands. Symptoms depend on the location and size of the tumors. Diagnosis: Diagnosis of VHL disease involves a combination of clinical criteria, imaging studies, and genetic testing. Treatment: Treatment options for VHL disease depend on the type and location of the tumors. Surgery is the mainstay of treatment, but other options like radiation therapy may also be used. Challenges: This article highlights the challenges in VHL disease management, including the lack of effective therapies for some tumor types and the need for better methods to monitor disease progression. In conclusion, we emphasize the importance of ongoing research to develop new and improved treatments for VHL disease.
Full article
(This article belongs to the Special Issue Emerging Biomarkers of Clinical Diagnosis)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01909/article_deploy/html/images/diagnostics-14-01909-g001-550.jpg?1724940278)
Figure 1
Open AccessArticle
Incidental Findings Following Dental Implant Procedures in the Mandible: A New Post-Processing CBCT Software Analysis
by
Marcel da Silva Garrote, Ana Helena Gonçalves de Alencar, Cyntia Rodrigues de Araújo Estrela, Lucas Rodrigues de Araújo Estrela, Mike Reis Bueno, Orlando Aguirre Guedes and Carlos Estrela
Diagnostics 2024, 14(17), 1908; https://doi.org/10.3390/diagnostics14171908 - 29 Aug 2024
Abstract
Background/Objectives: The aim of this study was to evaluate incidental findings in the mandible after the placement of dental implants using a new cone–beam computed tomography (CBCT) software. Methods: The initial sample consisted of 2872 CBCT scans of patients of both
[...] Read more.
Background/Objectives: The aim of this study was to evaluate incidental findings in the mandible after the placement of dental implants using a new cone–beam computed tomography (CBCT) software. Methods: The initial sample consisted of 2872 CBCT scans of patients of both sexes. The parameters evaluated in this study were the location of the implants in the mandible, implant length, anatomical relationship of the implant with the mandibular canal, presence or absence of damage to the adjacent teeth, presence or absence of implant fractures, and presence or absence of bone support. Fisher’s exact test was performed to compare the variables. The significance level was set at p = 0.05. Results: Out of 2872 CBCT scans, 214 images of patients with an average age of 44.5 years were included. The most frequent location of the implants was the posterior region (93.5%), with 54% of the implants having a length between 9 and 14 mm. It was found that 92% of the implants were positioned above the mandibular canal. Damage to adjacent teeth was observed, with no correlation with the implant positioning (p = 1.000). In 100% of cases of implants in the anterior region, there was bone support. Fracture was observed in 1.7% of implants with a length between 9 and 14 mm. Conclusions: The installation of implants in the mandible occurs more frequently in the posterior region, with a high presence of bone support and a low incidence of damage to adjacent teeth, anatomical structures, and fractures.
Full article
(This article belongs to the Special Issue Diagnostic Approach and Innovations in the Different Dentistry Fields)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01908/article_deploy/html/images/diagnostics-14-01908-g001-550.jpg?1725013840)
Figure 1
Open AccessReview
Monoclonal Gammopathy of Clinical Significance (MGCS) and Related Disorders: A Review and the Role of Imaging
by
Ahmed O. El Sadaney, Anika Dutta, Joselle Cook and Francis I. Baffour
Diagnostics 2024, 14(17), 1907; https://doi.org/10.3390/diagnostics14171907 - 29 Aug 2024
Abstract
The term monoclonal gammopathy of clinical significance (MGCS) refers to a group of symptomatic monoclonal gammopathies that do not meet the diagnostic criteria for malignant plasma cell disorders, such as multiple myeloma or Waldenström macroglobulinemia. These symptoms are attributable to the paraneoplastic effects
[...] Read more.
The term monoclonal gammopathy of clinical significance (MGCS) refers to a group of symptomatic monoclonal gammopathies that do not meet the diagnostic criteria for malignant plasma cell disorders, such as multiple myeloma or Waldenström macroglobulinemia. These symptoms are attributable to the paraneoplastic effects of monoclonal immunoglobulins that occur through diverse mechanisms. The presence of symptoms distinguishes MGCS from monoclonal gammopathy of undetermined significance, which lacks significant symptomatic presentation. The presentations of MGCS are manifold, adding to the diagnostic challenge. Clinical suspicion is key for accurate and timely diagnosis. Radiologic imaging can provide pivotal information to guide the diagnosis. In this review, we discuss MGCS from a radiology perspective and highlight pertinent imaging features associated with the disorders.
Full article
(This article belongs to the Special Issue Advances in Multiple Myeloma Imaging)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01907/article_deploy/html/images/diagnostics-14-01907-g001-550.jpg?1724935896)
Figure 1
Open AccessArticle
Total Cholesterol Determination Accuracy in Dried Blood Spots
by
Elena Bonet Estruch, María J. López-Lara, Eva N. Gutiérrez-Cortizo, Miguel A. Castaño López, Pedro Mata and Manuel J. Romero-Jiménez
Diagnostics 2024, 14(17), 1906; https://doi.org/10.3390/diagnostics14171906 (registering DOI) - 29 Aug 2024
Abstract
Background Detecting total cholesterol in dried blood spots could aid in identifying individuals with a high likelihood of familial hypercholesterolemia and could be used as a screening measure. This study aims to assess the diagnostic accuracy of dried blood spots on Whatman 903
[...] Read more.
Background Detecting total cholesterol in dried blood spots could aid in identifying individuals with a high likelihood of familial hypercholesterolemia and could be used as a screening measure. This study aims to assess the diagnostic accuracy of dried blood spots on Whatman 903 paper cards using a manual enzymatic technique. Methods: A total of 394 samples were collected as serum and dried blood spots were compared. Cholesterol was determined in serum using the automated reference method, while cholesterol on paper was measured using a manual enzymatic method. Within- and between-day diagnostic variability were analyzed. The correlation between both methods was assessed using Passing–Bablok regression and Bland–Altman plot. Internal validation of our correlation formula was performed on 149 samples, along with external validation of the formula proposed by Corso et al. Results: The within- and between-day coefficient of variation was found to be lower than 10.14% and 14.09%, respectively. Passing–Bablok regression indicated a precision of 0.803 and an accuracy of 0.96. Internal validation precision was measured at 0.716. The resulting positive and negative predicted values were 0.77 and 0.92, respectively, vs. 0.46 and 0.96 from the external formula. Conclusions: Total cholesterol analysis in dried blood spots demonstrates high precision and reproducibility. This method reliably enables the incorporation of this biological marker into neonatal screening for familial hypercholesterolemia detection.
Full article
(This article belongs to the Section Clinical Laboratory Medicine)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01906/article_deploy/html/images/diagnostics-14-01906-g001-550.jpg?1724927416)
Figure 1
Open AccessArticle
Concordance between Coronary Artery Computed Tomography and Invasive Coronary Angiography in a Real-World Population with Suspected Chronic Coronary Syndrome
by
Lucia Barbieri, Gabriele Tumminello, Guido Pasero, Carlo Avallone, Andrea D’Errico, Luca Mircoli, Federico Colombo, Cecilia Gobbi, Nello Manuel Bellissimo, Massimiliano Ruscica and Stefano Carugo
Diagnostics 2024, 14(17), 1905; https://doi.org/10.3390/diagnostics14171905 (registering DOI) - 29 Aug 2024
Abstract
Background: Coronary computed tomographic angiography (CCTA) is a non-invasive imaging technique that possesses the ability to provide detailed anatomical information about coronary arteries, avoiding unnecessary invasive procedures. Our aim was to assess the ability of CCTA to identify coronary artery disease compared to
[...] Read more.
Background: Coronary computed tomographic angiography (CCTA) is a non-invasive imaging technique that possesses the ability to provide detailed anatomical information about coronary arteries, avoiding unnecessary invasive procedures. Our aim was to assess the ability of CCTA to identify coronary artery disease compared to invasive coronary angiography (ICA) in a real-life setting. Methods: We examined 137 consecutive patients who underwent ICA after CCTA. The latter was conducted in various non-selected centers, and data regarding stenosis were taken from individual reports without further analysis. Results: A total of 60.5% of patients who underwent CCTA were found to have at least one critical stenosis, while the remaining 39.5% underwent ICA due to concurrent clinical or instrumental indications. Among these, 29.5% had angiographically critical pathology, 20.3% underwent a percutaneous coronary intervention (PCI), and 1.8% had coronary artery bypass grafting. Among the 83 patients with positive CCTA results, 34.9% had negative ICA findings. CCTA demonstrated low sensitivity (57.8%) and a positive predictive value of 42.6%. However, it retained high specificity (83.6%) and a negative predictive value of 90.4% for identifying critical stenosis. Among the 18.2% of patients who underwent CCTA without a specific indication, 60% had critical coronary lesions on their ICA and 86.6% of these subsequently underwent a PCI. Conclusions: CCTA performed in non-selective centers has a low concordance with ICA.
Full article
(This article belongs to the Special Issue Vascular Diagnostic Imaging)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01905/article_deploy/html/images/diagnostics-14-01905-g001-550.jpg?1724927070)
Figure 1
Open AccessArticle
EpidermaQuant: Unsupervised Detection and Quantification of Epidermal Differentiation Markers on H-DAB-Stained Images of Reconstructed Human Epidermis
by
Dawid Zamojski, Agnieszka Gogler, Dorota Scieglinska and Michal Marczyk
Diagnostics 2024, 14(17), 1904; https://doi.org/10.3390/diagnostics14171904 (registering DOI) - 29 Aug 2024
Abstract
The integrity of the reconstructed human epidermis generated in vitro can be assessed using histological analyses combined with immunohistochemical staining of keratinocyte differentiation markers. Technical differences during the preparation and capture of stained images may influence the outcome of computational methods. Due to
[...] Read more.
The integrity of the reconstructed human epidermis generated in vitro can be assessed using histological analyses combined with immunohistochemical staining of keratinocyte differentiation markers. Technical differences during the preparation and capture of stained images may influence the outcome of computational methods. Due to the specific nature of the analyzed material, no annotated datasets or dedicated methods are publicly available. Using a dataset with 598 unannotated images showing cross-sections of in vitro reconstructed human epidermis stained with DAB-based immunohistochemistry reaction to visualize four different keratinocyte differentiation marker proteins (filaggrin, keratin 10, Ki67, HSPA2) and counterstained with hematoxylin, we developed an unsupervised method for the detection and quantification of immunohistochemical staining. The pipeline consists of the following steps: (i) color normalization; (ii) color deconvolution; (iii) morphological operations; (iv) automatic image rotation; and (v) clustering. The most effective combination of methods includes (i) Reinhard’s normalization; (ii) Ruifrok and Johnston color-deconvolution method; (iii) proposed image-rotation method based on boundary distribution of image intensity; and (iv) k-means clustering. The results of the work should enhance the performance of quantitative analyses of protein markers in reconstructed human epidermis samples and enable the comparison of their spatial distribution between different experimental conditions.
Full article
(This article belongs to the Topic AI in Medical Imaging and Image Processing)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01904/article_deploy/html/images/diagnostics-14-01904-g001-550.jpg?1724926304)
Figure 1
Open AccessCommunication
Intraoperative Prediction of Coronary Graft Failure Based on Transit Time Flow Measurement
by
Boris N. Kozlov, Vasily V. Zatolokin, Andrew V. Mochula, Yusufjon Alisherov, Dmitri S. Panfilov, Nikolay O. Kamenshchikov and Elena B. Kim
Diagnostics 2024, 14(17), 1903; https://doi.org/10.3390/diagnostics14171903 (registering DOI) - 29 Aug 2024
Abstract
Myocardial revascularization has been known to not affect the prognosis in some patients. Coronary artery bypass graft (CABG) failure may develop one year after CABG surgery. This is accompanied by a high risk of developing myocardial infarction after complete myocardial revascularization in obstructive
[...] Read more.
Myocardial revascularization has been known to not affect the prognosis in some patients. Coronary artery bypass graft (CABG) failure may develop one year after CABG surgery. This is accompanied by a high risk of developing myocardial infarction after complete myocardial revascularization in obstructive coronary artery disease (CAD) due to microvascular dysfunction. The study of microvascular dysfunction using intraoperative stress tests with adenosine triphosphate (ATP) allows for the assessment of the coronary bypass flow reserve (CBFR) and the risk of graft failure one year after surgery. The study included 79 CAD patients (238 grafts) who underwent dynamic single-photon emission computed tomography (SPECT) before CABG and dynamic transit time flow measurement (TTFM) during CABG at rest and at stress. The CBFR was calculated by the ratio of the mean graft flow (MGF) at stress to the MGF at rest. A multivariate regression model showed that the MGF at rest (p = 0.043), the MGF at stress (p = 0.026) and the CBFR (p = 0.0001) were significant independent predictors of graft failure. As a result of ROC analysis, the threshold CBFR < 1.67 units correlated with graft failure more closely (sensitivity 82%, specificity 90%) The CBFR is a significant independent predictor of graft failure for up to 16 months.
Full article
(This article belongs to the Special Issue Vascular Malformations: Diagnosis and Management)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01903/article_deploy/html/images/diagnostics-14-01903-g001-550.jpg?1724925482)
Figure 1
Open AccessArticle
Diagnostic Performance of Serum Erythropoietin to Discriminate Polycythemia Vera from Secondary Erythrocytosis through Established Subnormal Limits
by
Ji Sang Yoon, Hyunhye Kang, Dong Wook Jekarl, Sung-Eun Lee and Eun-Jee Oh
Diagnostics 2024, 14(17), 1902; https://doi.org/10.3390/diagnostics14171902 (registering DOI) - 29 Aug 2024
Abstract
Serum erythropoietin (sEPO) is an initial screening tool for distinguishing polycythemia vera (PV) from secondary erythrocytosis (SE), but defining ‘subnormal’ sEPO levels for PV diagnosis remains contentious, complicating its clinical utility. This study compares the diagnostic performance of sEPO across established subnormal limits,
[...] Read more.
Serum erythropoietin (sEPO) is an initial screening tool for distinguishing polycythemia vera (PV) from secondary erythrocytosis (SE), but defining ‘subnormal’ sEPO levels for PV diagnosis remains contentious, complicating its clinical utility. This study compares the diagnostic performance of sEPO across established subnormal limits, including reference interval (RI), clinical decision limit (CDL), and functional reference limit. sEPO levels were analyzed in 393 healthy donors (HDs) and 90 patients (41 PV and 49 SE), who underwent bone marrow biopsy and genetic tests due to erythrocytosis. The RI (2.5–97.5 percentile from HDs) of sEPO was 5.3–26.3 IU/L. A CDL of 3.1 IU/L, determined by ROC analysis in erythrocytosis patients, had a sensitivity of 80.5% and specificity of 87.8% for diagnosing PV. A functional reference limit of 7.0 IU/L, estimated based on the relationship between sEPO and hemoglobin, hematocrit, and WBC, increased sensitivity to 97.6% but decreased specificity to 46.7%. Using 5.3 IU/L as a ‘subnormal’ limit identified all three JAK2-negative PV cases, increasing the sensitivity and negative predictive value to 97.6% and 97.0%, respectively. Combining the RI, CDL, and functional reference limit may improve PV diagnostic accuracy.
Full article
(This article belongs to the Special Issue Hematology: Diagnostic Techniques and Assays)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01902/article_deploy/html/images/diagnostics-14-01902-g001-550.jpg?1724926308)
Figure 1
Open AccessInteresting Images
Postmortem Detection of “Clinically Undiagnosed” Diffuse Large B-Cell Lymphoma: Gross and Microscopic Findings
by
Vincenzo Cianci, Daniela Sapienza, Giovanni Bartoloni, Alessio Cianci, Annalisa Cracò, Fausto Omero, Patrizia Gualniera, Alessio Asmundo and Cristina Mondello
Diagnostics 2024, 14(17), 1901; https://doi.org/10.3390/diagnostics14171901 (registering DOI) - 29 Aug 2024
Abstract
Diffuse large B-cell lymphoma is considered the most found non-Hodgkin lymphoma in adults. Diffuse large B-cell lymphoma, which also occurs in sporadic forms, is associated with some pathological conditions, including human immunodeficiency virus infection, especially if it progresses to AIDS. The authors report
[...] Read more.
Diffuse large B-cell lymphoma is considered the most found non-Hodgkin lymphoma in adults. Diffuse large B-cell lymphoma, which also occurs in sporadic forms, is associated with some pathological conditions, including human immunodeficiency virus infection, especially if it progresses to AIDS. The authors report the case of a 45-year-old man with AIDS in whom a postmortem diagnosis of diffuse large B-cell lymphoma was performed. The proposed images document extensive pluri-visceral involvement, already visible macroscopically, and subsequently confirmed through histological examination.
Full article
(This article belongs to the Special Issue Updates on Forensic Pathology)
►▼
Show Figures
![](https://pub.mdpi-res.com/diagnostics/diagnostics-14-01901/article_deploy/html/images/diagnostics-14-01901-g001-550.jpg?1724925612)
Figure 1
![Diagnostics diagnostics-logo](https://pub.mdpi-res.com/img/journals/diagnostics-logo.png?8600e93ff98dbf14)
Journal Menu
► ▼ Journal Menu-
- Diagnostics Home
- Aims & Scope
- Editorial Board
- Reviewer Board
- Topical Advisory Panel
- Instructions for Authors
- Special Issues
- Topics
- Sections & Collections
- Article Processing Charge
- Indexing & Archiving
- Editor’s Choice Articles
- Most Cited & Viewed
- Journal Statistics
- Journal History
- Journal Awards
- Society Collaborations
- Conferences
- Editorial Office
Journal Browser
► ▼ Journal BrowserHighly Accessed Articles
Latest Books
E-Mail Alert
News
Topics
Topic in
Diagnostics, Diseases, Healthcare, Infectious Disease Reports, JCM
Post COVID-19: Latest Advances, Challenges and Methodologies
Topic Editors: Yudong Zhang, Juan Manuel GorrizDeadline: 4 September 2024
Topic in
Cancers, Diagnostics, IJMS, Radiation, Safety, Healthcare
Ionizing and Non-ionizing Radiation: Advances in Healthcare, Environmental Safety and Occupational Radiation Protection
Topic Editors: Marco D'Arienzo, Andrea Malizia, Gian Marco ContessaDeadline: 31 October 2024
Topic in
Applied Sciences, Cancers, Diagnostics, Tomography
Deep Learning for Medical Image Analysis and Medical Natural Language Processing
Topic Editors: Mizuho Nishio, Koji FujimotoDeadline: 20 November 2024
Topic in
Biomedicines, Clinics and Practice, Diagnostics, JCM, Rheumato
Rheumatic Disorder: From Basic Science to Clinical Practice
Topic Editors: Giulia Cassone, Caterina Vacchi, Andreina ManfrediDeadline: 20 December 2024
![loading...](https://pub.mdpi-res.com/img/loading_circle.gif?9a82694213036313?1724941758)
Conferences
Special Issues
Special Issue in
Diagnostics
Advances in the Diagnosis of Skin Disease
Guest Editor: Gerardo CazzatoDeadline: 30 August 2024
Special Issue in
Diagnostics
Imaging for the Diagnosis of Obstetric and Gynecological Diseases
Guest Editor: Nicolae GicaDeadline: 30 August 2024
Special Issue in
Diagnostics
Detection of Prostate Cancer
Guest Editors: Giuseppe Celentano, Nicola PavanDeadline: 30 August 2024
Special Issue in
Diagnostics
Recent Advances in Bone and Joint Imaging—2nd Edition
Guest Editors: Yuichi Yoshii, Chien-Kuo WangDeadline: 30 August 2024
Topical Collections
Topical Collection in
Diagnostics
Editorial Board Members' Collection Series: Diagnostic Approaches to Gastrointestinal and Pancreatic Diseases
Collection Editors: Paolo Aseni, Ervin Toth