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Nandy S, Helland TL, Roop BW, Raphaely RA, Ly A, Lew M, Berigei SR, Villiger M, Sorokina A, Szabari MV, Fintelmann FJ, Suter MJ, Hariri LP. Rapid non-destructive volumetric tumor yield assessment in fresh lung core needle biopsies using polarization sensitive optical coherence tomography. BIOMEDICAL OPTICS EXPRESS 2021; 12:5597-5613. [PMID: 34692203 PMCID: PMC8515979 DOI: 10.1364/boe.433346] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/30/2021] [Accepted: 08/01/2021] [Indexed: 05/28/2023]
Abstract
Adequate tumor yield in core-needle biopsy (CNB) specimens is essential in lung cancer for accurate histological diagnosis, molecular testing for therapeutic decision-making, and tumor biobanking for research. Insufficient tumor sampling in CNB is common, primarily due to inadvertent sampling of tumor-associated fibrosis or atelectatic lung, leading to repeat procedures and delayed diagnosis. Currently, there is no method for rapid, non-destructive intraprocedural assessment of CNBs. Polarization-sensitive optical coherence tomography (PS-OCT) is a high-resolution, volumetric imaging technique that has the potential to meet this clinical need. PS-OCT detects endogenous tissue properties, including birefringence from collagen, and degree of polarization uniformity (DOPU) indicative of tissue depolarization. Here, PS-OCT birefringence and DOPU measurements were used to quantify the amount of tumor, fibrosis, and normal lung parenchyma in 42 fresh, intact lung CNB specimens. PS-OCT results were compared to and validated against matched histology in a blinded assessment. Linear regression analysis showed strong correlations between PS-OCT and matched histology for quantification of tumors, fibrosis, and normal lung parenchyma in CNBs. PS-OCT distinguished CNBs with low tumor content from those with higher tumor content with high sensitivity and specificity. This study demonstrates the potential of PS-OCT as a method for rapid, non-destructive, label-free intra-procedural tumor yield assessment.
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Affiliation(s)
- Sreyankar Nandy
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Harvard Medical School, Boston, MA 02110, USA
| | - Timothy L. Helland
- Harvard Medical School, Boston, MA 02110, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02110, USA
| | - Benjamin W. Roop
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02110, USA
| | - Rebecca A. Raphaely
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Harvard Medical School, Boston, MA 02110, USA
| | - Amy Ly
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Harvard Medical School, Boston, MA 02110, USA
| | - Madelyn Lew
- Department of Pathology, University of Michigan, Ann Arbor, MI 48104, USA
| | - Sarita R. Berigei
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02110, USA
| | - Martin Villiger
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Harvard Medical School, Boston, MA 02110, USA
| | - Anastasia Sorokina
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60131, USA
- Department of Pathology, Research Institute of Human Morphology, Moscow 103132, Russia
| | - Margit V. Szabari
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Harvard Medical School, Boston, MA 02110, USA
| | - Florian J. Fintelmann
- Harvard Medical School, Boston, MA 02110, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02110, USA
| | - Melissa J. Suter
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Harvard Medical School, Boston, MA 02110, USA
| | - Lida P. Hariri
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02110, USA
- Harvard Medical School, Boston, MA 02110, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02110, USA
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Hariri LP, Adams DC, Applegate MB, Miller AJ, Roop BW, Villiger M, Bouma BE, Suter MJ. Distinguishing Tumor from Associated Fibrosis to Increase Diagnostic Biopsy Yield with Polarization-Sensitive Optical Coherence Tomography. Clin Cancer Res 2019; 25:5242-5249. [PMID: 31175092 DOI: 10.1158/1078-0432.ccr-19-0566] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 04/09/2019] [Accepted: 06/03/2019] [Indexed: 12/20/2022]
Abstract
PURPOSE With recent advancements in personalized medicine, biopsies must contain sufficient tumor for histologic diagnosis and molecular testing. However, inadvertent biopsy of tumor-associated fibrosis compromises tumor yield, resulting in delayed diagnoses and/or repeat procedures when additional tumor is needed. The ability to differentiate tumor from fibrosis intraprocedurally during biopsy could significantly increase tumor yield. Polarization-sensitive optical coherence tomography (PS-OCT) is an imaging modality that is endoscope- and/or needle-compatible, and provides large volumetric views of tissue microstructure with high resolution (∼10 μm) while simultaneously measuring birefringence of organized tissues such as collagen. We aim to determine whether PS-OCT can accurately detect and distinguish tumor-associated fibrosis from tumor. EXPERIMENTAL DESIGN PS-OCT was obtained ex vivo in 64 lung nodule samples. PS-OCT birefringence was measured and correlated to collagen content in precisely matched histology, quantified on picrosirius red (PSR) staining. RESULTS There was a strong positive correlation between PS-OCT measurement of birefringent fibrosis and total collagen content by PSR (r = 0.793; P < 0.001). In addition, PS-OCT was able to accurately classify tumor regions with >20% fibrosis from those with low fibrosis (≤20%) that would likely yield higher tumor content (P < 0.0001). CONCLUSIONS PS-OCT enables accurate fibrosis detection and can distinguish tumor regions with low fibrosis. PS-OCT has significant potential for clinical impact, as the ability to differentiate tumor from fibrosis could be used to guide intraprocedural tissue sampling in vivo, or for rapid biopsy adequacy assessment ex vivo, to increase diagnostic tumor yield essential for patient care and research.
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Affiliation(s)
- Lida P Hariri
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts. .,Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.,Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - David C Adams
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Matthew B Applegate
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Alyssa J Miller
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Benjamin W Roop
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts.,Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Martin Villiger
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Brett E Bouma
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Melissa J Suter
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts. .,Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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