Printer Friendly

Endobronchial Ultrasound Using Guide Sheath-Guided Transbronchial Lung Biopsy in Ground-Glass Opacity Pulmonary Lesions without Fluoroscopic Guidance.

Author(s): Jongsoo Park [1,†]; Changwoon Kim [2,†]; Jong Geol Jang [2]; Seok Soo Lee [3]; Kyung Soo Hong (corresponding author) [2,*]; June Hong Ahn (corresponding author) [2,*]

1. Introduction

In recent years, the implementation of lung cancer screening programs in various countries has led to the increased detection of pulmonary ground-glass opacity (GGO) lesions [1,2]. This trend is particularly notable in Asian countries, where lung adenocarcinomas often present as GGOs, further amplified by the widespread use of computed tomography (CT) scans [3,4]. It is important to recognize that GGO pulmonary lesions are not exclusively indicative of cancer; they may also arise from various inflammatory conditions, localized fibrosis, organizing pneumonia, and other medical conditions [5]. An accurate diagnosis of these lesions is therefore essential in clinical practice.

The current guidelines from the Fleischner Society (2017) and Lung-RADS predominantly focus on follow-up strategies [6,7]. However, in practical clinical settings, lung cancers are frequently diagnosed at sizes smaller than those stipulated in these guidelines [8]. Recent studies have suggested that foregoing a histological diagnosis before surgery does not impact prognosis when the size of the solid component of a lesion increases during follow-up or is >5 mm [9,10]. Nevertheless, obtaining a preoperative histological diagnosis could potentially increase diagnostic precision.

While image-guided transthoracic needle biopsy has been effective for GGO lesions in previous studies [11,12], it faces challenges when lesions are deep in the lung or near blood vessels, raising concerns about complications and the risk of pleural seeding [12,13]. Surgical resection for both diagnosis and treatment is an alternative, but there is ongoing debate regarding the timing of surgery and the potential for resecting benign pathology [10].

Recent developments in radial probe endobronchial ultrasound-guided transbronchial lung biopsy (RP-EBUS-TBLB) have made it a promising modality for accurately diagnosing GGO lesions [14,15]. However, the diagnostic accuracy of and complication risks associated with RP-EBUS-TBLB for GGO lesions have not been comprehensively established. This study aims to assess both the diagnostic accuracy and associated complications of RP-EBUS-TBLB in the context of GGO lesions.

2. Materials and Methods

2.1. Study Design and Subjects

A total of 1651 RP-EBUS procedures without fluoroscopy were performed during the study period. This study involved a retrospective review of the medical records of 115 patients with GGO pulmonary lesions who underwent RP-EBUS-TBLB without fluoroscopic guidance at Yeungnam University Hospital from January 2019 to March 2022. The patient group consisted of 11 patients with pure GGO and 104 with mixed GGO. Histological examination was conducted unless the EBUS image was invisible (Figure 1). The study adhered to the principles of the Declaration of Helsinki and was approved by the institutional review board of Yeungnam University Hospital (YUH IRB 2020-09-025). The requirement for informed consent was waived due to the retrospective nature of the study.

2.2. CT and Bronchoscopy

Prior to the procedure, all patients underwent thin-section chest CT scans (0.75 mm slice thickness, 0.75 mm intervals; SOMATOM Definition AS 64-slice CT system; Siemens Healthcare, Erlangen, Germany). An experienced radiologist (J.S.P.) determined the CT characteristics of lung lesions (GGO or mixed GGO). The bronchus sign on CT was defined as a bronchus leading directly to the lesion. The shortest distance from the lesion to the pleura was measured on an axial plane CT scan, as previously described [16]. The EBUS image (blizzard, mixed blizzard, and invisible) was assessed by experienced respiratory physicians (K.S.H., J.G.J., and J.H.A.). Representative cases of RP-EBUS-TBLB for GGO pulmonary lesions are shown in Figure 2.

Regarding bronchoscopy, a 4 mm bronchoscope (BF P260F, Olympus, Tokyo, Japan) was used to reach the bronchus closest to the target lesion. Then, a RP-EBUS (UM S20–17S, Olympus) was inserted inside a GS through the bronchoscope working channel. Following the discovery of the GGO lesion, the RP was then removed, leaving the GS in place. Then, bronchial brush and biopsy forceps were introduced into the GS and brushings and biopsy specimens were collected. A GS kit (K-201; Olympus, Tokyo, Japan) including a forceps, and brush were used to biopsy the tissue. We obtained at least six tissues if there was no sign of complications.

2.3. Diagnostic Classification

Malignancy was diagnosed based on definite histological evidence. Benign lung lesions were diagnosed using criteria including the identification of definitive benign features and lesion regression with or without medical treatment. In this study, “diagnosed” cases were those conclusively identified as malignant or benign through RP-EBUS. Cases with indeterminate diagnoses (neither malignancy nor benign), and those where histological examination could not be performed due to EBUS image invisibility, were categorized as “undiagnosed”. The undiagnosed group was finally diagnosed using other tests such as antibiotic use, surgery, percutaneous needle biopsy (PCNB), and CT scan follow-up. If a GGO lesion persisted, they were followed up for at least 1 year, and a GGO lesion without change for 1 year was defined as stable disease. If a patient was lost during the CT follow-up period, we defined it as follow-up loss.

2.4. Statistical Analyses

Continuous variables were compared using Student’s t-test or the Mann–Whitney U test and are expressed as mean ± standard deviation. Categorical variables were analyzed using the chi-square test or Fisher’s exact test and are presented as frequencies (percentages). The EBUS visualization yield was calculated by dividing the number of cases with blizzard or mixed blizzard EBUS images by the total number of cases. The diagnostic yield was determined by dividing the number of diagnosed cases by the total number of cases. Factors influencing diagnostic success were identified through multivariable logistic regression analyses of factors with p-values < 0.1 in univariable analyses. In all analyses, p < 0.05 (two-tailed) was considered statistically significant. Statistical procedures were conducted using SPSS (version 24.0; IBM Corp., Armonk, NY, USA).

3. Results

3.1. Baseline Characteristics and Diagnostic Performance

The baseline characteristics of the 115 patients, categorized by diagnostic status, are detailed in Table 1. In the diagnosed group, the mean lesion size was notably larger (21.9 ± 7.3 vs. 17.1 ± 6.6 mm, p < 0.001). The presence of a positive CT bronchus sign was more common in the diagnosed group (79.7% vs. 39.1%, p < 0.001). Regarding procedure-related factors, the mixed blizzard EBUS image was more frequently observed in the diagnosed group. The procedure time was significantly shorter in the undiagnosed group (25.5 ± 11.1 vs. 21.2 ± 9.7 min, p = 0.036). Within the diagnosed group, adenocarcinoma was the most common diagnosis (88.4%), followed by organizing pneumonia (10.1%) and sarcoidosis (1.4%). Within the undiagnosed group, adenocarcinoma was the most common final diagnosis (52.2%), followed by stable disease (28.3%), follow-up loss (17.4%), and organizing pneumonia (4.2%). Regarding the final diagnosis method for the undiagnosed group, 24 adenocarcinoma cases were diagnosed by surgical resection (15 cases) and PCNB (9 cases). One organizing pneumonia case was diagnosed by the disappearance of the lesion on CT follow-up after antibiotics.

The diagnostic performance of RP-EBUS-TBLB in GGO pulmonary lesions is summarized in Figure 1. The EBUS visualization yield was 80.1% (93/115). Of the 115 lesions, 69 (60%) were successfully diagnosed by RP-EBUS-TBLB (4/11 pure GGO lesions and 65/104 mixed GGO lesions). The diagnostic yield of the EBUS guide sheath (GS) based on lesion size is presented in Table 2. The yield was 50.0% (29/58) for lesions <20 mm, 65.1% (28/43) for 20–30-mm lesions, and 85.7% (12/14) for lesions >30 mm.

3.2. Correlation between Chest CT Findings and EBUS Image

Table 3 shows the correlation between chest CT findings and EBUS image for GGO pulmonary lesions diagnosed by radial EBUS. Blizzard signs were found in 81.8% (9/11) of pure GGO lesions. Mixed blizzard signs were observed in 60.6% (63/104) of mixed GGO lesions. Notably, no mixed blizzard signs were found in pure GGO lesions.

3.3. Factors Affecting Diagnostic Success

Factors influencing diagnostic success are outlined in Table 4. Univariable analyses identified lesion size (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.04–1.18; p = 0.001), positive bronchus sign (OR, 6.11; CI, 2.66–14.07; p < 0.001), and mixed blizzard sign on EBUS (OR, 24.00; CI, 8.78–65.61; p < 0.001) as significant contributors to diagnostic success. Multivariable analyses further indicated that lesion size (OR, 1.10; CI, 1.00–1.2; p = 0.042) and mixed blizzard sign on EBUS (OR, 20.92; CI, 7.50–58.31; p < 0.001) were associated with successful diagnosis.

3.4. Complications

In the cohort of 115 patients, the incidences of pneumothorax and hemoptysis were 1.7% (2/115) and 2.6% (3/115), respectively.

4. Discussion

In our study, we observed a diagnostic yield of 60% (n = 69/115) and a complication rate of 4% (n = 5/115), aligning with results reported in previous studies for GGO-predominant lesions [14,15,17]. Independent factors for diagnostic success were the mixed blizzard sign on EBUS (OR: 20.92; p < 0.001) and the size of the lesion (OR: 1.10; p = 0.042). Notably, the mixed blizzard sign on EBUS was present in 60.6% (63/104) of mixed GGO lesions but was absent in pure GGO lesions, consistent with previous findings [17]. This study was the first to evaluate the efficacy and safety of RP-EBUS-TBLB in GGO pulmonary lesions without fluoroscopic guidance.

A preoperative biopsy of GGO lesions could theoretically prevent unnecessary surgery for benign pathology and reduce the time spent on operative diagnosis via frozen section biopsy in wedge resection. However, challenges in preoperative tissue biopsy, along with concerns about complications and false-negative results, are common in real clinical practice [13]. Percutaneous transthoracic needle biopsy (PTNB) is accurate and relatively safe for lung lesions, including GGO lesions, with an accuracy reported at =90% in previous studies [11,12,18,19]. However, complications are relatively frequent, ranging from 16 to 62% in previous meta-analyses [12,19]. Additionally, concerns remain about pleural recurrence, particularly in subpleural lesions [20,21,22].

Several studies have shown high diagnostic accuracy through direct surgery without preoperative tissue biopsy, given the risks of side effects, possible underestimation of diagnosis, false negatives, and concerns about pleural recurrence with PTNB [10,23,24]. Cho et al. reported high diagnostic yield with surgical resection without preoperative tissue biopsy, especially in carefully selected GGO lesions highly suspicious for malignancy. This approach also led to reduced costs and shorter hospital stays, though ~5% of surgeries were unnecessary [23]. However, intraoperative tissue analysis based on frozen sections can extend surgical time and impact postoperative morbidity [25,26]. Therefore, if feasible, preoperative histological confirmation can improve diagnostic accuracy and reduce unnecessary surgeries and operative time.

In the current National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology (NCCN Guidelines) for non-small cell lung cancer (version 2.2023) and lung cancer screening (version 1.2022), intraoperative or preoperative tissue biopsy is recommended for part-solid nodules with a solid component =8 mm. For pure GGO lesions, the guidelines suggest tissue biopsy for lesions =20 mm or those that have grown by =1.5 mm. However, the selection of biopsy method should be based on a multidisciplinary assessment of the difficulty and associated risks [27,28]. The proper use of PTNB, surgical resection, and bronchoscopy is vital, yet there are no definitive criteria, leading to ongoing debates regarding these methods. Although not explicitly mentioned in the guidelines, previous research highlights the benefits of radial EBUS for tissue biopsy of nodules.

Izumo et al. discussed the relationship between chest CT findings and EBUS images [17]. They noted that EBUS images are crucial for locating GGO pulmonary lesions. The blizzard sign, a whitish acoustic shadow observed while scanning from normal lung tissue to a GGO lesion, is noteworthy. In mixed GGO lesions, a mixed blizzard sign may indicate the preferred area for biopsy. In our study, the mixed blizzard sign was an independent factor for diagnostic success. Although the blizzard sign is a specific EBUS finding for GGO lesions, the detection of the mixed blizzard sign on EBUS is associated with a higher diagnosis rate for mixed GGO lesions, as observed in our study.

Ikezawa et al. initially reported a 57% (38/67) diagnostic success rate for peripheral GGO predominant-type lesions using TBLB with EBUS-GS [14]. They found that lesion size >25 mm and visibility under X-ray fluoroscopy were associated with diagnostic success. In their study, the diagnosis rate for total GGO lesions >25 mm was 94% (15/16). Ikezawa et al. later reported a 69% (156/169) diagnostic yield for 169 GGO pulmonary lesions using GS and virtual bronchoscopic navigation (VBN) [29], with a type 1 CT sign (a bronchus leading to the center of the lesion) as an independent factor for success. Our study, despite not using fluoroscopy, showed comparable diagnostic rates (60%, n = 69/115). Similar to previous studies, we observed a significant increase in the diagnosis rate with increasing lesion size, reaching 85.7% (n = 12/14) for lesions >30 mm.

This study was not without limitations. First, this was a retrospective study with a single-center setting and a relatively small number of GGO pulmonary lesions, which limits generalizability. Future studies should involve large, multicenter cohorts. Second, diagnostic yield may vary depending on the practitioner, but all operators in our study were trained in RP-EBUS-TBLB and followed the same protocol. The diagnostic yield could be influenced by additional modalities; our study used TBLB with GS without fluoroscopic guidance or VBN. In our center, we could not afford fluoroscopy and VBN, so we performed RP-EBUS-TBLB using only GS. The use of fluoroscopic guidance and VBN might improve diagnosis rates in some GGO pulmonary lesions. Finally, many lung cancers are associated with smoking and smoking status may affect diagnostic yield. This study is limited by not including smoking status as a factor. However, considering that most patients with GGO lesions are never smokers, the effect of smoking status in our study is unlikely to be significant. Further research is needed in this area. However, the strength of our study lies in diagnosing GGO pulmonary lesions without fluoroscopic guidance, achieving diagnostic rates comparable to previous studies.

5. Conclusions

RP-EBUS-TBLB using GS without fluoroscopy can be considered a viable diagnostic method for GGO pulmonary lesions. The EBUS image with the mixed blizzard sign and a large lesion were key factors for diagnostic success. The complication rates were within acceptable limits.

Author Contributions

Conceptualization, J.H.A.; methodology, J.H.A.; software, J.H.A.; validation, J.P. and K.S.H.; formal analysis, J.H.A.; investigation, J.P., C.K., K.S.H. and J.H.A.; resources, J.P. and J.H.A.; data curation, C.K., K.S.H., J.G.J. and J.H.A.; writing—original draft preparation, J.P. and C.K.; writing—review and editing, J.P. and J.H.A.; visualization, J.H.A.; supervision, K.S.H., J.G.J., S.S.L. and J.H.A.; project administration, J.H.A.; funding acquisition, J.P. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The study adhered to the principles of the Declaration of Helsinki and was approved by the institutional review board of Yeungnam University Hospital (YUH IRB 2020-09-025, approved on 28 September 2020).

Informed Consent Statement

The requirement for informed consent was waived due to the retrospective nature of the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

1. National Lung Screening Trial Research Team; D.R. Aberle; A.M. Adams; C.D. Berg; W.C. Black; J.D. Clapp; R.M. Fagerstrom; I.F. Gareen; C. Gatsonis; P.M. Marcus et al. Reduced lung-cancer mortality with low-dose computed tomographic screening., 2011, 365,pp. 395-409. DOI: https://doi.org/10.1056/NEJMoa1102873. PMID: https://www.ncbi.nlm.nih.gov/pubmed/21714641.

2. National Lung Screening Trial Research Team; T.R. Church; W.C. Black; D.R. Aberle; C.D. Berg; K.L. Clingan; F. Duan; R.M. Fagerstrom; I.F. Gareen; D.S. Gierada et al. Results of initial low-dose computed tomographic screening for lung cancer., 2013, 368,pp. 1980-1991. DOI: https://doi.org/10.1056/NEJMoa1209120. PMID: https://www.ncbi.nlm.nih.gov/pubmed/23697514.

3. D.C. Lam; C.K. Liam; S. Andarini; S. Park; D.S.W. Tan; N. Singh; S.H. Jang; V. Vardhanabhuti; A.B. Ramos; T. Nakayama et al. Lung Cancer Screening in Asia: An Expert Consensus Report., 2023, 18,pp. 1303-1322. DOI: https://doi.org/10.1016/j.jtho.2023.06.014.

4. Y. Zhang; S. Jheon; H.M. Li; H.B. Zhang; Y.Z. Xie; B. Qian; K.H. Lin; S.P. Wang; C. Fu; H. Hu et al. Results of low-dose computed tomography as a regular health examination among Chinese hospital employees., 2020, 160,pp. 824-831.e4. DOI: https://doi.org/10.1016/j.jtcvs.2019.10.145.

5. H.J. Lee; J.M. Goo; C.H. Lee; C.G. Yoo; Y.T. Kim; J.G. Im Nodular ground-glass opacities on thin-section CT: Size change during follow-up and pathological results., 2007, 8,pp. 22-31. DOI: https://doi.org/10.3348/kjr.2007.8.1.22.

6. H. MacMahon; D.P. Naidich; J.M. Goo; K.S. Lee; A.N.C. Leung; J.R. Mayo; A.C. Mehta; Y. Ohno; C.A. Powell; M. Prokop et al. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017., 2017, 284,pp. 228-243. DOI: https://doi.org/10.1148/radiol.2017161659. PMID: https://www.ncbi.nlm.nih.gov/pubmed/28240562.

7. American College of Radiology, American College of Radiology: Reston, VA, USA, 2014,

8. K.H. Lee; J.M. Goo; S.J. Park; J.Y. Wi; D.H. Chung; H. Go; H.S. Park; C.M. Park; S.M. Lee Correlation between the Size of the Solid Component on Thin-Section CT and the Invasive Component on Pathology in Small Lung Adenocarcinomas Manifesting as Ground-Glass Nodules., 2014, 9,pp. 74-82. DOI: https://doi.org/10.1097/JTO.0000000000000019.

9. J.H. Lee; C.M. Park; S.M. Lee; H. Kim; H.P. McAdams; J.M. Goo Persistent pulmonary subsolid nodules with solid portions of 5 mm or smaller: Their natural course and predictors of interval growth., 2016, 26,pp. 1529-1537. DOI: https://doi.org/10.1007/s00330-015-4017-4.

10. S.M. Lee; C.M. Park; Y.S. Song; H. Kim; Y.T. Kim; Y.S. Park; J.M. Goo CT assessment-based direct surgical resection of part-solid nodules with solid component larger than 5 mm without preoperative biopsy: Experience at a single tertiary hospital., 2017, 27,pp. 5119-5126. DOI: https://doi.org/10.1007/s00330-017-4917-6. PMID: https://www.ncbi.nlm.nih.gov/pubmed/28656460.

11. Y. Yamauchi; Y. Izumi; S. Nakatsuka; M. Inoue; Y. Hayashi; M. Mukai; H. Nomori Diagnostic performance of percutaneous core needle lung biopsy under multi-CT fluoroscopic guidance for ground-glass opacity pulmonary lesions., 2011, 79,pp. e85-e89. DOI: https://doi.org/10.1016/j.ejrad.2011.03.088.

12. J. Kim; C.G. Chee; J. Cho; Y. Kim; M.A. Yoon Diagnostic accuracy and complication rate of image-guided percutaneous transthoracic needle lung biopsy for subsolid pulmonary nodules: A systematic review and meta-analysis., 2021, 94, 20210065. DOI: https://doi.org/10.1259/bjr.20210065.

13. K. Kashiwabara; H. Semba; S. Fujii; S. Tsumura Preoperative Percutaneous Transthoracic Needle Biopsy Increased the Risk of Pleural Recurrence in Pathological Stage I Lung Cancer Patients With Sub-pleural Pure Solid Nodules., 2016, 34,pp. 373-377. DOI: https://doi.org/10.1080/07357907.2016.1212061.

14. Y. Ikezawa; N. Sukoh; N. Shinagawa; K. Nakano; S. Oizumi; M. Nishimura Endobronchial Ultrasonography with a Guide Sheath for Pure or Mixed Ground-Glass Opacity Lesions., 2014, 88,pp. 137-143. DOI: https://doi.org/10.1159/000362885. PMID: https://www.ncbi.nlm.nih.gov/pubmed/24993187.

15. T. Nakai; Y. Matsumoto; F. Suzuk; T. Tsuchida; T. Izumo Predictive factors for a successful diagnostic bronchoscopy of ground-glass nodules., 2017, 12,pp. 171-176. DOI: https://doi.org/10.4103/atm.ATM_428_16.

16. K.S. Hong; H. Ahn; K.H. Lee; J.H. Chung; K.C. Shin; H.J. Jin; J.G. Jang; S.S. Lee; M.H. Jang; J.H. Ahn Radial Probe Endobronchial Ultrasound Using Guide Sheath-Guided Transbronchial Lung Biopsy in Peripheral Pulmonary Lesions without Fluoroscopy., 2021, 84,pp. 282-290. DOI: https://doi.org/10.4046/trd.2021.0002. PMID: https://www.ncbi.nlm.nih.gov/pubmed/34162199.

17. T. Izumo; S. Sasada; C. Chavez; Y. Matsumoto; T. Tsuchida Radial endobronchial ultrasound images for ground-glass opacity pulmonary lesions., 2015, 45,pp. 1661-1668. DOI: https://doi.org/10.1183/09031936.00167914.

18. T. Yamagami; R. Yoshimatsu; H. Miura; K. Yamada; A. Takahata; T. Matsumoto; T. Hasebe Diagnostic performance of percutaneous lung biopsy using automated biopsy needles under CT-fluoroscopic guidance for ground-glass opacity lesions., 2013, 86, 20120447. DOI: https://doi.org/10.1259/bjr.20120447.

19. J.S. Yang; Y.M. Liu; Y.M. Mao; J.H. Yuan; W.Q. Yu; R.D. Cheng; T.Y. Hu; J.M. Cheng; H.Y. Wang Meta-analysis of CT-guided transthoracic needle biopsy for the evaluation of the ground-glass opacity pulmonary lesions., 2014, 87, 20140276. DOI: https://doi.org/10.1259/bjr.20140276. PMID: https://www.ncbi.nlm.nih.gov/pubmed/25051977.

20. H. Matsuguma; R. Nakahara; T. Kondo; Y. Kamiyama; K. Mori; K. Yokoi Risk of pleural recurrence after needle biopsy in patients with resected early stage lung cancer., 2005, 80,pp. 2026-2031. DOI: https://doi.org/10.1016/j.athoracsur.2005.06.074.

21. S.M. Moon; D.G. Lee; N.Y. Hwang; S. Ahn; H. Lee; B.H. Jeong; Y.S. Choi; Y. Mog; T.J. Kim; K.S. Lee et al. Ipsilateral pleural recurrence after diagnostic transthoracic needle biopsy in pathological stage I lung cancer patients who underwent curative resection., 2017, 111,pp. 69-74. DOI: https://doi.org/10.1016/j.lungcan.2017.07.008. PMID: https://www.ncbi.nlm.nih.gov/pubmed/28838402.

22. M. Inoue; O. Honda; N. Tomiyama; M. Minami; N. Sawabata; Y. Kadota; Y. Shintani; Y. Ohno; M. Okumura Risk of pleural recurrence after computed tomographic-guided percutaneous needle biopsy in stage I lung cancer patients., 2011, 91,pp. 1066-1071. DOI: https://doi.org/10.1016/j.athoracsur.2010.12.032.

23. J. Cho; S.-J. Ko; S.J. Kim; Y.J. Lee; J.S. Park; Y.-J. Cho; H.I. Yoon; S. Cho; K. Kim; S. Jheon et al. Surgical resection of nodular ground-glass opacities without percutaneous needle aspiration or biopsy., 2014, 14, 838. DOI: https://doi.org/10.1186/1471-2407-14-838.

24. Y.T. Kim Management of ground-glass nodules: When and how to operate?., 2022, 14, 715. DOI: https://doi.org/10.3390/cancers14030715.

25. N. Ozeki; S. Iwano; T. Taniguchi; K. Kawaguchi; T. Fukui; F. Ishiguro; K. Fukumoto; S. Nakamura; A. Hirakawa; K. Yokoi Therapeutic surgery without a definitive diagnosis can be an option in selected patients with suspected lung cancer., 2014, 19,pp. 830-837. DOI: https://doi.org/10.1093/icvts/ivu233.

26. S. Mori; Y. Noda; T. Shibazaki; D. Kato; H. Matsudaira; J. Hirano; T. Ohtsuka Definitive lobectomy without frozen section analysis is a treatment option for large or deep nodules selected carefully with clinical diagnosis of malignancy., 2020, 11,pp. 1996-2004. DOI: https://doi.org/10.1111/1759-7714.13493.

27. D.S. Ettinger; D.E. Wood; D.L. Aisner; W. Akerley; J.R. Bauman; A. Bharat; D.S. Bruno; J.Y. Chang; L.R. Chirieac; M. DeCamp et al. NCCN Guidelines® Insights: Non-Small Cell Lung Cancer, Version 2.2023., 2023, 21,pp. 340-350. DOI: https://doi.org/10.6004/jnccn.2023.0020.

28. D.E. Wood; E.A. Kazerooni; D. Aberle; A. Berman; L.M. Brown; G.A. Eapen; D.S. Ettinger; J.S. Ferguson; L. Hou; D. Kadaria et al. NCCN Guidelines® Insights: Lung Cancer Screening, Version 1.2022., 2022, 20,pp. 754-764. DOI: https://doi.org/10.6004/jnccn.2022.0036.

29. Y. Ikezawa; N. Shinagawa; N. Sukoh; M. Morimoto; H. Kikuchi; M. Watanabe; K. Nakano; S. Oizumi; M. Nishimura Usefulness of Endobronchial Ultrasonography With a Guide Sheath and Virtual Bronchoscopic Navigation for Ground-Glass Opacity Lesions., 2017, 103,pp. 470-475. DOI: https://doi.org/10.1016/j.athoracsur.2016.09.001.

Figures and Tables

Figure 1: Study flowchart for 115 GGO pulmonary lesions. EBUS: endobronchial ultrasound; GGO: ground-glass opacity. [Please download the PDF to view the image]

Figure 2: Representative cases. Schemes follow another format. If there are multiple panels, they should be listed as (A) a 68-year-old woman with pure GGO in the lateral segment of the right middle lobe in whom (B) EBUS revealed a blizzard sign, and the biopsy indicated focal atypical pneumocyte proliferation, suggestive of adenocarcinoma; (C) a 74-year-old woman with mixed GGO in the posterior segment of the right upper lobe in whom (D) EBUS demonstrated a mixed blizzard sign, and the biopsy confirmed adenocarcinoma. [Please download the PDF to view the image]

Table 1: Baseline characteristics of GGO pulmonary lesions (n = 115).
CharacteristicDiagnosed (n = 69)Undiagnosed (n = 46)p-Value


Patients


Age, years


65.7 ± 10.2


66.2 ± 10.7


0.830


Male sex


24 (34.8)


16 (34.8)


1.000


Location of lesions


0.126


Right upper lobe


21 (30.4)


18 (39.1)


Right middle lobe


7 (10.1)


1 (2.2)


Right lower lobe


12 (17.4)


9 (19.6)


Left upper lobe


18 (26.1)


16 (34.8)


Left lower lobe


11 (15.9)


2 (4.3)


Characteristics


0.113


Pure GGO


4 (5.8)


7 (15.2)


Mixed GGO


65 (94.2)


39 (84.8)


Size (mm), long axis


21.9 ± 7.3


17.1 ± 6.6


<0.001


Distance from pleura (mm)


13.9 ± 11.1


15.5 ± 11.8


0.479


Bronchus sign in CT


<0.001


Positive


55 (79.7)


18 (39.1)


Negative


14 (20.3)


28 (60.9)


Procedure


EBUS image


<0.001


Blizzard


13 (18.8)


17 (37.0)


Mixed blizzard


56 (81.2)


7 (15.2)


Invisible


0 (0.0)


22 (47.8)


Procedure time, min


25.5 ± 11.1


21.2 ± 9.7


0.036


Complications


1.000


Pneumothorax


1 (1.4)


1 (2.2)


Hemoptysis


2 (2.9)


1 (2.2)


Diagnosis


Adenocarcinoma


61 (88.4)


24 (52.2)


Organizing pneumonia


7 (10.1)


1 (4.2)


Sarcoidosis


1 (1.4)


Stable disease


13 (28.3)


Follow-up loss


8 (17.4)


Values are presented as mean ± standard deviation or number (%). CT: computed tomography; EBUS: endobronchial ultrasound; GGO: ground-glass opacity.

Table 2: Diagnostic yield of EBUS-GS according to lesion size.
Lesion Size, mmTotalPure GGOMixed GGO


<20


29/58 (50.0)


3/7 (42.9)


26/51 (51.0)


20–30


28/43 (65.1)


0/3 (0.0)


28/40 (70.0)


>30


12/14 (85.7)


1/1 (80.0)


11/13 (84.6)


Total


69/115 (60.0)


4/11 (36.3)


65/104 (62.5)


Values are presented as number (%). EBUS: endobronchial ultrasound; GGO: ground-glass opacity; GS: guide sheath

Table 3: Correlation between chest CT findings and EBUS image.
Pure GGOMixed GGOp-Value


Subjects, n


11


104


EBUS image


<0.001


Blizzard


9/11 (81.8)


21/104 (20.2)


Mixed blizzard


0/11 (0)


63/104 (60.6)


Invisible


2/11 (18.2)


20/104 (19.2)


Values are presented as number (%). CT: computed tomography; EBUS: endobronchial ultrasound; GGO: ground-glass opacity

Table 4: Logistic regression analysis of factors affecting diagnostic success.
Diagnosed(n = 69)Undiagnosed(n = 46)Univariable AnalysesMultivariable Analyses
OR(95% CI)p-ValueOR(95% CI)p-Value


Age, years


65.7 ± 10.2


66.2 ± 10.7


1.00(0.97–1.04)


0.828


Male sex


24 (34.8)


16 (34.8)


1.00(0.46–2.19)


1.000


Characteristics


Mixed GGO


65 (94.2)


39 (84.8)


2.92(0.80–10.61)


0.113


Pure GGO


4 (5.8)


7 (15.2)


1.00


Size (mm), long axis


21.9 ± 7.3


17.1 ± 6.6


1.11(1.04–1.18)


0.001


1.10(1.00–1.16)


0.042


Bronchus sign in CT


Positive


55 (79.7)


18 (39.1)


6.11(2.66–14.07)


<0.001


Negative


14 (20.3)


28 (60.9)


1.00


EBUS image


Mixed blizzard


56 (81.2)


7 (15.2)


24.00(8.78–65.61)


<0.001


20.92(7.50–58.31)


<0.001


Others


13 (18.8)


39 (84.8)


1.00


Values are presented as mean ± standard deviation or number (%). CT: computed tomography; EBUS: endobronchial ultrasound; GGO: ground-glass opacity.

Author Affiliation(s):

[1] Department of Radiology, Yeungnam University Medical Center, College of Medicine, Yeungnam University, Daegu 42415, Republic of Korea; [email protected]

[2] Division of Pulmonology, Department of Internal Medicine, College of Medicine, Yeungnam University, Daegu 42415, Republic of Korea; [email protected] (C.K.); [email protected] (J.G.J.)

[3] Department of Thoracic and Cardiovascular Surgery, College of Medicine, Yeungnam University, Daegu 42415, Republic of Korea; [email protected]

Author Note(s):

[*] Correspondence: [email protected] (K.S.H.); [email protected] (J.H.A.); Tel.: +82-53-640-6577 (K.S.H. & J.H.A.)

DOI: 10.3390/cancers16061203
COPYRIGHT 2024 MDPI AG
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2024 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Park, Jongsoo; Kim, Changwoon; Jang, Jong Geol; Lee, Seok Soo; Hong, Kyung Soo; Ahn, June Hong
Publication:Cancers
Date:Mar 1, 2024
Words:4576
Previous Article:Transforming Growth Factor Beta 2 (TGFB2) mRNA Levels, in Conjunction with Interferon-Gamma Receptor Activation of Interferon Regulatory Factor 5...
Next Article:Immunoprofiles and Oncologic Outcomes of 15 Patients with Androgen Receptor-Positive Salivary Duct Carcinoma.
Topics:

Terms of use | Privacy policy | Copyright © 2024 Farlex, Inc. | Feedback | For webmasters |