Pathological diagnostic value of respiratory optical coherence tomography in lung cancer_Chinese Journal of Respiratory and Critical Care Medicine

Authors：

ZHOU Guanghong , YANG Yang , YANG Yan , CHEN Lijuan , CHEN Xianxia , LI Hongyan ,  ZOU Jun

Department of Respiratory and Critical Care Medicine, Sichuan Provincial People's Hospital, School of Medicine University of Electronic Science and Technology of China, Chengdu, Sichuan 610000, P. R. China;

Corresponding author：

ZOU Jun, Email: zoujun@med.uestc.edu.cn

Keywords：

Lung cancer; optical coherence tomography; auto-fluorescence bronchoscopy; pathological diagnosis

DOI：

10.7507/1671-6205.202312040

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To explore the pathological diagnostic value of optical coherence tomography (OCT) in lung cancer. Methods This study selected patients who underwent general anesthesia and electronic bronchoscope biopsy at the Respiratory Endoscopy Center of Sichuan Provincial People’s Hospital from January 1, 2023, to December 1, 2023. White-light bronchoscopy (WLB), auto-fluorescence bronchoscopy (AFB), and OCT examinations were performed in all patients. Lesions were assessed for benign or malignant characteristics based on AFB and OCT before biopsy. The final pathological results were determined according to pathology report. Results A total of 124 patients were included in the study. The accuracy of OCT in differentiating the nature of lesions was 93.55%, significantly higher than AFB (accuracy 83.06%). The accuracy, sensitivity, and specificity of OCT were all higher than AFB. For squamous carcinoma, adenocarcinoma, and small cell lung cancer, the accuracy rates of OCT imaging characteristics were 91.94%, 94.35%, and 94.35%, respectively. Conclusion OCT can improve the accuracy of pre-bronchoscopic tissue pathology biopsy in determining the nature of lesions and provide rapid pathological typing basis, potentially further promoting the development of non-invasive histological biopsy.

Citation： ZHOU Guanghong, YANG Yang, YANG Yan, CHEN Lijuan, CHEN Xianxia, LI Hongyan, ZOU Jun. Pathological diagnostic value of respiratory optical coherence tomography in lung cancer. Chinese Journal of Respiratory and Critical Care Medicine, 2024, 23(5): 333-339. doi: 10.7507/1671-6205.202312040 Copy

1.	Siegel RL, Miller KD, Wagle NS, et al. Cancer statistics, 2023. CA Cancer J Clin, 2023, 73(1): 17-48.
2.	Cao W, Chen HD, Yu YW, et al. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J (Engl), 2021, 134(7): 783-791.
3.	周光红, 邹俊. 光学相干断层扫描技术在呼吸系统疾病中的研究与应用进展. 中国呼吸与危重监护杂志. 2023, 22(2): 148-152.
4.	Lam S, Standish B, Baldwin C, et al. In vivo optical coherence tomography imaging of preinvasive bronchial lesions. Clin Cancer Res, 2008, 14(7): 2006-2011.
5.	Ding M, Pan SY, Huang J, et al. Optical coherence tomography for identification of malignant pulmonary nodules based on random forest machine learning algorithm. PLoS One, 2021, 16(12): e0260600.
6.	Hariri LP, Mino-Kenudson M, Suter MJ, et al. Diagnosing lung carcinomas with optical coherence tomography. Ann Am Thorac Soc, 2015, 12(2): 193-201.
7.	朱强, 杨震, 陈良安. 光学相干断层成像技术在肺癌的应用研究进展. 国际呼吸杂志, 2021, 41(5): 339-343.
8.	中华医学会呼吸病学分会介入呼吸病学学组. 成人诊断性可弯曲支气管镜检查术应用指南(2019年版). 中华结核和呼吸杂志, 2019, 42(8): 573-590.
9.	Song N, Yang L, Wang H, et al. Radial endobronchial ultrasound-assisted transbronchial needle aspiration for pulmonary peripheral lesions in the segmental bronchi adjacent to the central airway. Transl Lung Cancer Res, 2021, 10(6): 2625-2632.
10.	Kim YW, Kim HJ, Song MJ, et al. Utility and safety of sole electromagnetic navigation bronchoscopy under moderate sedation for lung cancer diagnosis. Transl Lung Cancer Res, 2022, 11(3): 462-471.
11.	Wang H, Wei N, Tang Y, et al. The utility of rapid on-site evaluation during bronchoscopic biopsy: a 2-year respiratory endoscopy central experience. Biomed Res Int, 2019, 2019: 5049248.
12.	Zaric B, Perin B, Carapic V, et al. Diagnostic value of autofluorescence bronchoscopy in lung cancer. Thorac Cancer, 2013, 4(1): 1-8.
13.	Stanzel F. Fluorescent bronchoscopy: contribution for lung cancer screening? Lung Cancer, 2004, 45 Suppl 2: S29-S37.
14.	Moghissi K, Dixon K, Stringer MR. Current indications and future perspective of fluorescence bronchoscopy: a review study. Photodiagnosis Photodyn Ther, 2008, 5(4): 238-246.
15.	Brezinski ME, Tearney GJ, Bouma B, et al. Optical biopsy with optical coherence tomography. Ann N Y Acad Sci, 1998, 838: 68-74.
16.	Chen Y, Ding M, Guan WJ, et al. Validation of human small airway measurements using endobronchial optical coherence tomography. Respir Med, 2015, 109(11): 1446-1453.
17.	Ding M, Chen Y, Guan WJ, et al. Measuring airway remodeling in patients with different COPD staging using endobronchial optical coherence tomography. Chest, 2016, 150(6): 1281-1290.
18.	Su ZQ, Guan WJ, Li SY, et al. Significances of spirometry and impulse oscillometry for detecting small airway disorders assessed with endobronchial optical coherence tomography in COPD. Int J Chron Obstruct Pulmon Dis, 2018, 13: 3031-3044.
19.	Adams DC, Miller AJ, Applegate MB, et al. Quantitative assessment of airway remodelling and response to allergen in asthma. Respirology, 2019, 24(11): 1073-1080.
20.	Carpaij OA, Goorsenberg AWM, d'Hooghe JNS, et al. Optical coherence tomography intensity correlates with extracellular matrix components in the airway wall. Am J Respir Crit Care Med, 2020, 202(5): 762-766.
21.	Qiu M, Lai Z, Wei S, et al. Bronchiectasis after bronchial thermoplasty. J Thorac Dis, 2018, 10(10): E721-E726.
22.	Nandy S, Berigei SR, Keyes CM, et al. Polarization-sensitive endobronchial optical coherence tomography for microscopic imaging of fibrosis in interstitial lung disease. Am J Respir Crit Care Med, 2022, 206(7): 905-910.
23.	Zhu Q, Yu H, Liang Z, et al. Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial. Front Oncol, 2022, 12: 870556.
24.	Shostak E, Hariri LP, Cheng GZ, et al. Needle-based optical coherence tomography to guide transbronchial lymph node biopsy. J Bronchology Interv Pulmonol, 2018, 25(3): 189-197.
25.	McLaughlin RA, Scolaro L, Robbins P, et al. Imaging of human lymph nodes using optical coherence tomography: potential for staging cancer. Cancer Res, 2010, 70(7): 2579-2584.
26.	Thai AA, Solomon BJ, Sequist LV, et al. Lung cancer. Lancet, 2021, 398(10299): 535-554.
27.	Liu HC, Lin MH, Ting CH, et al. Intraoperative application of optical coherence tomography for lung tumor. J Biophotonics, 2023, 16(6): e202200344.
28.	Williamson JP, McLaughlin RA, Phillips MJ, et al. Using optical coherence tomography to improve diagnostic and therapeutic bronchoscopy. Chest, 2009, 136(1): 272-276.

1. Siegel RL, Miller KD, Wagle NS, et al. Cancer statistics, 2023. CA Cancer J Clin, 2023, 73(1): 17-48.
2. Cao W, Chen HD, Yu YW, et al. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J (Engl), 2021, 134(7): 783-791.
3. 周光红, 邹俊. 光学相干断层扫描技术在呼吸系统疾病中的研究与应用进展. 中国呼吸与危重监护杂志. 2023, 22(2): 148-152.
4. Lam S, Standish B, Baldwin C, et al. In vivo optical coherence tomography imaging of preinvasive bronchial lesions. Clin Cancer Res, 2008, 14(7): 2006-2011.
5. Ding M, Pan SY, Huang J, et al. Optical coherence tomography for identification of malignant pulmonary nodules based on random forest machine learning algorithm. PLoS One, 2021, 16(12): e0260600.
6. Hariri LP, Mino-Kenudson M, Suter MJ, et al. Diagnosing lung carcinomas with optical coherence tomography. Ann Am Thorac Soc, 2015, 12(2): 193-201.
7. 朱强, 杨震, 陈良安. 光学相干断层成像技术在肺癌的应用研究进展. 国际呼吸杂志, 2021, 41(5): 339-343.
8. 中华医学会呼吸病学分会介入呼吸病学学组. 成人诊断性可弯曲支气管镜检查术应用指南(2019年版). 中华结核和呼吸杂志, 2019, 42(8): 573-590.
9. Song N, Yang L, Wang H, et al. Radial endobronchial ultrasound-assisted transbronchial needle aspiration for pulmonary peripheral lesions in the segmental bronchi adjacent to the central airway. Transl Lung Cancer Res, 2021, 10(6): 2625-2632.
10. Kim YW, Kim HJ, Song MJ, et al. Utility and safety of sole electromagnetic navigation bronchoscopy under moderate sedation for lung cancer diagnosis. Transl Lung Cancer Res, 2022, 11(3): 462-471.
11. Wang H, Wei N, Tang Y, et al. The utility of rapid on-site evaluation during bronchoscopic biopsy: a 2-year respiratory endoscopy central experience. Biomed Res Int, 2019, 2019: 5049248.
12. Zaric B, Perin B, Carapic V, et al. Diagnostic value of autofluorescence bronchoscopy in lung cancer. Thorac Cancer, 2013, 4(1): 1-8.
13. Stanzel F. Fluorescent bronchoscopy: contribution for lung cancer screening? Lung Cancer, 2004, 45 Suppl 2: S29-S37.
14. Moghissi K, Dixon K, Stringer MR. Current indications and future perspective of fluorescence bronchoscopy: a review study. Photodiagnosis Photodyn Ther, 2008, 5(4): 238-246.
15. Brezinski ME, Tearney GJ, Bouma B, et al. Optical biopsy with optical coherence tomography. Ann N Y Acad Sci, 1998, 838: 68-74.
16. Chen Y, Ding M, Guan WJ, et al. Validation of human small airway measurements using endobronchial optical coherence tomography. Respir Med, 2015, 109(11): 1446-1453.
17. Ding M, Chen Y, Guan WJ, et al. Measuring airway remodeling in patients with different COPD staging using endobronchial optical coherence tomography. Chest, 2016, 150(6): 1281-1290.
18. Su ZQ, Guan WJ, Li SY, et al. Significances of spirometry and impulse oscillometry for detecting small airway disorders assessed with endobronchial optical coherence tomography in COPD. Int J Chron Obstruct Pulmon Dis, 2018, 13: 3031-3044.
19. Adams DC, Miller AJ, Applegate MB, et al. Quantitative assessment of airway remodelling and response to allergen in asthma. Respirology, 2019, 24(11): 1073-1080.
20. Carpaij OA, Goorsenberg AWM, d'Hooghe JNS, et al. Optical coherence tomography intensity correlates with extracellular matrix components in the airway wall. Am J Respir Crit Care Med, 2020, 202(5): 762-766.
21. Qiu M, Lai Z, Wei S, et al. Bronchiectasis after bronchial thermoplasty. J Thorac Dis, 2018, 10(10): E721-E726.
22. Nandy S, Berigei SR, Keyes CM, et al. Polarization-sensitive endobronchial optical coherence tomography for microscopic imaging of fibrosis in interstitial lung disease. Am J Respir Crit Care Med, 2022, 206(7): 905-910.
23. Zhu Q, Yu H, Liang Z, et al. Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial. Front Oncol, 2022, 12: 870556.
24. Shostak E, Hariri LP, Cheng GZ, et al. Needle-based optical coherence tomography to guide transbronchial lymph node biopsy. J Bronchology Interv Pulmonol, 2018, 25(3): 189-197.
25. McLaughlin RA, Scolaro L, Robbins P, et al. Imaging of human lymph nodes using optical coherence tomography: potential for staging cancer. Cancer Res, 2010, 70(7): 2579-2584.
26. Thai AA, Solomon BJ, Sequist LV, et al. Lung cancer. Lancet, 2021, 398(10299): 535-554.
27. Liu HC, Lin MH, Ting CH, et al. Intraoperative application of optical coherence tomography for lung tumor. J Biophotonics, 2023, 16(6): e202200344.
28. Williamson JP, McLaughlin RA, Phillips MJ, et al. Using optical coherence tomography to improve diagnostic and therapeutic bronchoscopy. Chest, 2009, 136(1): 272-276.

Chinese Journal of Respiratory and Critical Care Medicine

Pathological diagnostic value of respiratory optical coherence tomography in lung cancer

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