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Kenaan N, Hanna G, Sardini M, Iyoun MO, Layka K, Hannouneh ZA, Alshehabi Z. Advances in early detection of non-small cell lung cancer: A comprehensive review. Cancer Med 2024; 13:e70156. [PMID: 39300939 PMCID: PMC11413414 DOI: 10.1002/cam4.70156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 08/11/2024] [Accepted: 08/18/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Lung cancer has the highest mortality rate among malignancies globally. In addition, due to the growing number of smokers there is considerable concern over its growth. Early detection is an essential step towards reducing complications in this regard and helps to ensure the most effective treatment, reduce health care costs, and increase survival rates. AIMS To define the most efficient and cost-effective method of early detection in clinical practice. MATERIALS AND METHODS We collected the Information used to write this review by searching papers through PUBMED that were published from 2021 to 2024, mainly systematic reviews, meta-analyses and clinical-trials. We also included other older but notable papers that we found essential and valuable for understanding. RESULTS EB-OCT has a varied sensitivity and specificity-an average of 94.3% and 89.9 for each. On the other hand, detecting biomarkers via liquid biopsy carries an average sensitivity of 91.4% for RNA molecules detection, and 97% for combined methylated DNA panels. Moreover, CTCs detection did not prove to have a significant role as a screening method due to the rarity of CTCs in the bloodstream thus the need for more blood samples and for enrichment techniques. DISCUSSION Although low-dose CT scan (LDCT) is the current golden standard screening procedure, it is accompanied by a highly false positive rate. In comparison to other radiological screening methods, Endobronchial optical coherence tomography (EB-OCT) has shown a noticeable advantage with a significant degree of accuracy in distinguishing between subtypes of non-small cell lung cancer. Moreover, numerous biomarkers, including RNA molecules, circulating tumor cells, CTCs, and methylated DNA, have been studied in the literature. Many of these biomarkers have a specific high sensitivity and specificity, making them potential candidates for future early detection approaches. CONCLUSION LDCT is still the golden standard and the only recommended screening procedure for its high sensitivity and specificity and proven cost-effectiveness. Nevertheless, the notable false positive results acquired during the LDCT examination caused a presumed concern, which drives researchers to investigate better screening procedures and approaches, particularly with the rise of the AI era or by combining two methods in a well-studied screening program like LDCT and liquid biopsy. we suggest conducting more clinical studies on larger populations with a clear demographical target and adopting approaches for combining one of these new methods with LDCT to decrease false-positive cases in early detection.
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Affiliation(s)
- Nour Kenaan
- Cancer Research CenterTishreen UniversityLattakiaSyrian Arab Republic
- Faculty of MedicineTishreen UniversityLattakiaSyrian Arab Republic
| | - George Hanna
- Cancer Research CenterTishreen UniversityLattakiaSyrian Arab Republic
- Faculty of MedicineTishreen UniversityLattakiaSyrian Arab Republic
| | - Moustafa Sardini
- Cancer Research CenterTishreen UniversityLattakiaSyrian Arab Republic
- Faculty of MedicineTishreen UniversityLattakiaSyrian Arab Republic
| | - Mhd Omar Iyoun
- Cancer Research CenterTishreen UniversityLattakiaSyrian Arab Republic
- Faculty of MedicineTishreen UniversityLattakiaSyrian Arab Republic
| | - Khedr Layka
- Cancer Research CenterTishreen UniversityLattakiaSyrian Arab Republic
- Department of pathologyTishreen University hospitalLattakiaSyrian Arab Republic
| | - Zein Alabdin Hannouneh
- Cancer Research CenterTishreen UniversityLattakiaSyrian Arab Republic
- Faculty of MedicineAl Andalus University for Medical SciencesTartusSyrian Arab Republic
| | - Zuheir Alshehabi
- Cancer Research CenterTishreen UniversityLattakiaSyrian Arab Republic
- Department of pathologyTishreen University hospitalLattakiaSyrian Arab Republic
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Berigei SR, Nandy S, Yamamoto S, Raphaely RA, DeCoursey A, Lee J, Sharma A, Auchincloss HG, Gaissert H, Lanuti M, Ott HC, Sachdeva UM, Wright CD, Zhao SH, Hallowell RW, Shea BS, Muniappan A, Keyes CM, Hariri LP. Microscopic Small Airway Abnormalities Identified in Early Idiopathic Pulmonary Fibrosis In Vivo Using Endobronchial Optical Coherence Tomography. Am J Respir Crit Care Med 2024; 210:473-483. [PMID: 38747674 PMCID: PMC11351792 DOI: 10.1164/rccm.202401-0249oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/15/2024] [Indexed: 08/16/2024] Open
Abstract
Rationale: Idiopathic pulmonary fibrosis (IPF) affects the subpleural lung but is considered to spare small airways. Micro-computed tomography (micro-CT) studies demonstrated small airway reduction in end-stage IPF explanted lungs, raising questions about small airway involvement in early-stage disease. Endobronchial optical coherence tomography (EB-OCT) is a volumetric imaging modality that detects microscopic features from subpleural to proximal airways. Objectives: In this study, EB-OCT was used to evaluate small airways in early IPF and control subjects in vivo. Methods: EB-OCT was performed in 12 subjects with IPF and 5 control subjects (matched by age, sex, smoking history, height, and body mass index). Subjects with IPF had early disease with mild restriction (FVC: 83.5% predicted), which was diagnosed per current guidelines and confirmed by surgical biopsy. EB-OCT volumetric imaging was acquired bronchoscopically in multiple, distinct, bilateral lung locations (total: 97 sites). IPF imaging sites were classified by severity into affected (all criteria for usual interstitial pneumonia present) and less affected (some but not all criteria for usual interstitial pneumonia present). Bronchiole count and small airway stereology metrics were measured for each EB-OCT imaging site. Measurements and Main Results: Compared with the number of bronchioles in control subjects (mean = 11.2/cm3; SD = 6.2), there was significant bronchiole reduction in subjects with IPF (42% loss; mean = 6.5/cm3; SD = 3.4; P = 0.0039), including in IPF affected (48% loss; mean: 5.8/cm3; SD: 2.8; P < 0.00001) and IPF less affected (33% loss; mean: 7.5/cm3; SD: 4.1; P = 0.024) sites. Stereology metrics showed that IPF-affected small airways were significantly larger, more distorted, and more irregular than in IPF-less affected sites and control subjects. IPF less affected and control airways were statistically indistinguishable for all stereology parameters (P = 0.36-1.0). Conclusions: EB-OCT demonstrated marked bronchiolar loss in early IPF (between 30% and 50%), even in areas minimally affected by disease, compared with matched control subjects. These findings support small airway disease as a feature of early IPF, providing novel insight into pathogenesis and potential therapeutic targets.
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Affiliation(s)
| | - Sreyankar Nandy
- Division of Pulmonary and Critical Care Medicine
- Wellman Center for Photomedicine
- Harvard Medical School, Boston, Massachusetts
| | - Satomi Yamamoto
- Division of Pulmonary and Critical Care Medicine
- Wellman Center for Photomedicine
- Harvard Medical School, Boston, Massachusetts
| | - Rebecca A. Raphaely
- Division of Pulmonary and Critical Care Medicine
- Harvard Medical School, Boston, Massachusetts
| | | | - Jaeyul Lee
- Division of Pulmonary and Critical Care Medicine
- Wellman Center for Photomedicine
- Harvard Medical School, Boston, Massachusetts
| | - Amita Sharma
- Department of Radiology
- Harvard Medical School, Boston, Massachusetts
| | | | - Henning Gaissert
- Division of Thoracic Surgery
- Harvard Medical School, Boston, Massachusetts
| | - Michael Lanuti
- Division of Thoracic Surgery
- Harvard Medical School, Boston, Massachusetts
| | - Harald C. Ott
- Division of Thoracic Surgery
- Harvard Medical School, Boston, Massachusetts
| | - Uma M. Sachdeva
- Division of Thoracic Surgery
- Harvard Medical School, Boston, Massachusetts
| | - Cameron D. Wright
- Division of Thoracic Surgery
- Harvard Medical School, Boston, Massachusetts
| | | | - Robert W. Hallowell
- Division of Pulmonary and Critical Care Medicine
- Harvard Medical School, Boston, Massachusetts
| | - Barry S. Shea
- Division of Pulmonary and Critical Care Medicine
- Harvard Medical School, Boston, Massachusetts
| | - Ashok Muniappan
- Division of Thoracic Surgery
- Harvard Medical School, Boston, Massachusetts
| | - Colleen M. Keyes
- Division of Pulmonary and Critical Care Medicine
- Harvard Medical School, Boston, Massachusetts
| | - Lida P. Hariri
- Division of Pulmonary and Critical Care Medicine
- Wellman Center for Photomedicine
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts; and
- Harvard Medical School, Boston, Massachusetts
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Thiboutot J. Translating endobronchial optical coherence tomography to clinical practice. Am J Physiol Lung Cell Mol Physiol 2024; 327:L1-L2. [PMID: 38772908 PMCID: PMC11482459 DOI: 10.1152/ajplung.00149.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 05/07/2024] [Indexed: 05/23/2024] Open
Affiliation(s)
- Jeffrey Thiboutot
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, United States
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Steinberg R, Meehan J, Tavrow D, Maguluri G, Grimble J, Primrose M, Iftimia N. Assessing Lung Fibrosis with ML-Assisted Minimally Invasive OCT Imaging. Diagnostics (Basel) 2024; 14:1243. [PMID: 38928659 PMCID: PMC11202627 DOI: 10.3390/diagnostics14121243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/03/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
This paper presents a combined optical coherence tomography (OCT) imaging/machine learning (ML) technique for real-time analysis of lung tissue morphology to determine the presence and level of invasiveness of idiopathic lung fibrosis (ILF). This is an important clinical problem as misdiagnosis is common, resulting in patient exposure to costly and invasive procedures and substantial use of healthcare resources. Therefore, biopsy is needed to confirm or rule out radiological findings. Videoscopic-assisted thoracoscopic wedge biopsy (VATS) under general anesthesia is typically necessary to obtain enough tissue to make an accurate diagnosis. This kind of biopsy involves the placement of several tubes through the chest wall, one of which is used to cut off a piece of lung to send for evaluation. The removed tissue is examined histopathologically by microscopy to confirm the presence and the pattern of fibrosis. However, VATS pulmonary biopsy can have multiple side effects, including inflammation, tissue morbidity, and severe bleeding, which further degrade the quality of life for the patient. Furthermore, the results are not immediately available, requiring tissue processing and analysis. Here, we report an initial attempt of using ML-assisted polarization sensitive OCT (PS-OCT) imaging for lung fibrosis assessment. This approach has been preliminarily tested on a rat model of lung fibrosis. Our preliminary results show that ML-assisted PS-OCT imaging can detect the presence of ILF with an average of 77% accuracy and 89% specificity.
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Affiliation(s)
- Rebecca Steinberg
- Biomedical Engineering Department, Tufts University, Medford, MA 02155, USA; (R.S.); (J.M.); (D.T.)
| | - Jack Meehan
- Biomedical Engineering Department, Tufts University, Medford, MA 02155, USA; (R.S.); (J.M.); (D.T.)
| | - Doran Tavrow
- Biomedical Engineering Department, Tufts University, Medford, MA 02155, USA; (R.S.); (J.M.); (D.T.)
| | - Gopi Maguluri
- Physical Sciences Inc., Andover, MA 01810, USA; (G.M.); (J.G.); (M.P.)
| | - John Grimble
- Physical Sciences Inc., Andover, MA 01810, USA; (G.M.); (J.G.); (M.P.)
| | - Michael Primrose
- Physical Sciences Inc., Andover, MA 01810, USA; (G.M.); (J.G.); (M.P.)
| | - Nicusor Iftimia
- Physical Sciences Inc., Andover, MA 01810, USA; (G.M.); (J.G.); (M.P.)
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Hackmann MJ, Cairncross A, Elliot JG, Mulrennan S, Nilsen K, Thompson BR, Li Q, Karnowski K, Sampson DD, McLaughlin RA, Cense B, James AL, Noble PB. Quantification of smooth muscle in human airways by polarization-sensitive optical coherence tomography requires correction for perichondrium. Am J Physiol Lung Cell Mol Physiol 2024; 326:L393-L408. [PMID: 38261720 DOI: 10.1152/ajplung.00254.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/05/2023] [Accepted: 01/12/2024] [Indexed: 01/25/2024] Open
Abstract
Quantifying airway smooth muscle (ASM) in patients with asthma raises the possibility of improved and personalized disease management. Endobronchial polarization-sensitive optical coherence tomography (PS-OCT) is a promising quantitative imaging approach that is in the early stages of clinical translation. To date, only animal tissues have been used to assess the accuracy of PS-OCT to quantify absolute (rather than relative) ASM in cross sections with directly matched histological cross sections as validation. We report the use of whole fresh human and pig airways to perform a detailed side-by-side qualitative and quantitative validation of PS-OCT against gold-standard histology. We matched and quantified 120 sections from five human and seven pig (small and large) airways and linked PS-OCT signatures of ASM to the tissue structural appearance in histology. Notably, we found that human cartilage perichondrium can share with ASM the properties of birefringence and circumferential alignment of fibers, making it a significant confounder for ASM detection. Measurements not corrected for perichondrium overestimated ASM content several-fold (P < 0.001, paired t test). After careful exclusion of perichondrium, we found a strong positive correlation (r = 0.96, P < 0.00001) of ASM area measured by PS-OCT and histology, supporting the method's application in human subjects. Matching human histology further indicated that PS-OCT allows conclusions on the intralayer composition and in turn potential contractile capacity of ASM bands. Together these results form a reliable basis for future clinical studies.NEW & NOTEWORTHY Polarization-sensitive optical coherence tomography (PS-OCT) may facilitate in vivo measurement of airway smooth muscle (ASM). We present a quantitative validation correlating absolute ASM area from PS-OCT to directly matched histological cross sections using human tissue. A major confounder for ASM quantification was observed and resolved: fibrous perichondrium surrounding hyaline cartilage in human airways presents a PS-OCT signature similar to ASM for birefringence and optic axis orientation. Findings impact the development of automated methods for ASM segmentation.
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Affiliation(s)
- Michael J Hackmann
- School of Human Sciences, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic, and Computer Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Alvenia Cairncross
- School of Human Sciences, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Western Australia, Australia
| | - John G Elliot
- School of Human Sciences, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Western Australia, Australia
| | - Siobhain Mulrennan
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
- Institute of Respiratory Health, The University of Western Australia, Crawley, Western Australia, Australia
- Medical School, The University of Western Australia, Crawley, Western Australia, Australia
| | - Kris Nilsen
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Bruce R Thompson
- Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Qingyun Li
- Department of Electrical, Electronic, and Computer Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Karol Karnowski
- Department of Electrical, Electronic, and Computer Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- International Centre for Translational Eye Research, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland
| | - David D Sampson
- School of Computer Science and Electronic Engineering, University of Surrey, Guildford, United Kingdom
| | - Robert A McLaughlin
- Department of Electrical, Electronic, and Computer Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| | - Barry Cense
- Department of Electrical, Electronic, and Computer Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Mechanical Engineering, Yonsei University, Seoul, South Korea
| | - Alan L James
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Western Australia, Australia
- Medical School, The University of Western Australia, Crawley, Western Australia, Australia
| | - Peter B Noble
- School of Human Sciences, The University of Western Australia, Crawley, Western Australia, Australia
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