Literature DB >> 27142184

Low Prevalence of High-Grade Lesions Detected With Autofluorescence Bronchoscopy in the Setting of Lung Cancer Screening in the Pan-Canadian Lung Cancer Screening Study.

Alain Tremblay1, Niloofar Taghizadeh2, Annette M McWilliams3, Paul MacEachern2, David R Stather2, Kam Soghrati4, Serge Puksa5, John R Goffin5, Kazuhiro Yasufuku4, Kayvan Amjadi6, Garth Nicholas6, Simon Martel7, Francis Laberge7, Michael Johnston8, Frances A Shepherd4, Diana N Ionescu9, Stefan Urbanski10, David Hwang4, Jean-Claude Cutz11, Harmanjatinder S Sekhon6, Christian Couture7, Zhaolin Xu12, Tom G Sutedja13, Sukhinder Atkar-Khattra9, Martin C Tammemagi14, Ming-Sound Tsao4, Stephen C Lam9.   

Abstract

BACKGROUND: Lung cancer screening with low-dose CT (LDCT) scan has been demonstrated to reduce lung cancer mortality. Preliminary reports suggested that up to 20% of lung cancers may be CT scan occult but detectable by autofluorescence bronchoscopy (AFB). We evaluated the prevalence of CT scan occult, invasive, and high-grade preinvasive lesions in high-risk participants undergoing screening for lung cancer.
METHODS: The first 1,300 participants from seven centers in the Pan-Canadian Early Detection of Lung Cancer Study who had ≥ 2% lung cancer risk over 5 years were invited to have an AFB in addition to a LDCT scan. We determined the prevalence of CT scan and AFB abnormalities and analyzed the association between selected predictor variables and preinvasive lesions plus invasive cancer.
RESULTS: A total of 776 endobronchial biopsies were performed in 333 of 1,300 (25.6%) participants. Dysplastic or higher-grade lesions were detected in 5.3% of the participants (n = 68; mild dysplasia: n = 36, moderate dysplasia: n = 25, severe dysplasia: n = 3, carcinoma in situ [CIS]: n = 1, and carcinoma: n = 4). Only one typical carcinoid tumor and one CIS lesion were detected by AFB alone, for a rate of CT scan occult cancer of 0.15% (95% CI, 0.0%-0.6%). Fifty-six prevalence lung cancers were detected by LDCT scan (4.3%). The only independent risk factors for finding of dysplasia or CIS on AFB were smoking duration (OR, 1.05; 95% CI, 1.02-1.07) and FEV1 percent predicted (OR, 0.99; 95% CI, 0.98-0.99).
CONCLUSIONS: The addition of AFB to LDCT scan in a high lung cancer risk cohort detected too few CT occult cancers (0.15%) to justify its incorporation into a lung cancer screening program. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT00751660; URL: www.clinicaltrials.gov.
Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  bronchoscopy; dysplasia; lung cancer; screening

Mesh:

Year:  2016        PMID: 27142184     DOI: 10.1016/j.chest.2016.04.019

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  8 in total

1.  White light, autofluorescence and narrow-band imaging bronchoscopy for diagnosing airway pre-cancerous and early cancer lesions: a systematic review and meta-analysis.

Authors:  Jianrong Zhang; Jieyu Wu; Yujing Yang; Hua Liao; Zhiheng Xu; Lindsey Tristine Hamblin; Long Jiang; Lieven Depypere; Keng Leong Ang; Jiaxi He; Ziyan Liang; Jun Huang; Jingpei Li; Qihua He; Wenhua Liang; Jianxing He
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

Review 2.  The role of bronchoscopy in the diagnosis of early lung cancer: a review.

Authors:  Marco Andolfi; Rossella Potenza; Rosanna Capozzi; Valeria Liparulo; Francesco Puma; Kazuhiro Yasufuku
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

3.  Autofluorescence bronchoscopy for lung cancer screening: a time to reflect.

Authors:  Oleg Epelbaum; Wilbert S Aronow
Journal:  Ann Transl Med       Date:  2016-08

4.  Optimize Transfer Learning for Lung Diseases in Bronchoscopy Using a New Concept: Sequential Fine-Tuning.

Authors:  Tao Tan; Zhang Li; Haixia Liu; Farhad G Zanjani; Quchang Ouyang; Yuling Tang; Zheyu Hu; Qiang Li
Journal:  IEEE J Transl Eng Health Med       Date:  2018-08-16       Impact factor: 3.316

5.  Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer.

Authors:  Sheng Weng; Xiaoyun Xu; Jiasong Li; Stephen T C Wong
Journal:  J Biomed Opt       Date:  2017-10       Impact factor: 3.170

Review 6.  Recent Advances and the Potential for Clinical Use of Autofluorescence Detection of Extra-Ophthalmic Tissues.

Authors:  Jonas Wizenty; Teresa Schumann; Donna Theil; Martin Stockmann; Johann Pratschke; Frank Tacke; Felix Aigner; Tilo Wuensch
Journal:  Molecules       Date:  2020-04-30       Impact factor: 4.411

7.  Chronic obstructive pulmonary disease prevalence and prediction in a high-risk lung cancer screening population.

Authors:  John R Goffin; Gregory R Pond; Serge Puksa; Alain Tremblay; Michael Johnston; Glen Goss; Garth Nicholas; Simon Martel; Rick Bhatia; Geoffrey Liu; Heidi Schmidt; Sukhinder Atkar-Khattra; Annette McWilliams; Ming-Sound Tsao; Martin C Tammemagi; Stephen Lam
Journal:  BMC Pulm Med       Date:  2020-11-16       Impact factor: 3.317

Review 8.  The promises and challenges of early non-small cell lung cancer detection: patient perceptions, low-dose CT screening, bronchoscopy and biomarkers.

Authors:  Lukas Kalinke; Ricky Thakrar; Sam M Janes
Journal:  Mol Oncol       Date:  2020-12-14       Impact factor: 6.603

  8 in total

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