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Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules
BACKGROUND: The diagnostic yield of biopsies of solitary pulmonary nodules (SPNs) is low, particularly in sub-solid lesions. We developed a method (NIR-nCLE) to achieve cellular level cancer detection during biopsy by integrating (i) near-infrared (NIR) imaging using a cancer-targeted tracer (pafola...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525441/ https://www.ncbi.nlm.nih.gov/pubmed/35788703 http://dx.doi.org/10.1007/s00259-022-05868-9 |
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author | Kennedy, Gregory T. Azari, Feredun S. Bernstein, Elizabeth Nadeem, Bilal Chang, Ashley Segil, Alix Sullivan, Neil Encarnado, Emmanuel Desphande, Charuhas Kucharczuk, John C. Leonard, Kaela Low, Philip S. Chen, Silvia Criton, Aline Singhal, Sunil |
author_facet | Kennedy, Gregory T. Azari, Feredun S. Bernstein, Elizabeth Nadeem, Bilal Chang, Ashley Segil, Alix Sullivan, Neil Encarnado, Emmanuel Desphande, Charuhas Kucharczuk, John C. Leonard, Kaela Low, Philip S. Chen, Silvia Criton, Aline Singhal, Sunil |
author_sort | Kennedy, Gregory T. |
collection | PubMed |
description | BACKGROUND: The diagnostic yield of biopsies of solitary pulmonary nodules (SPNs) is low, particularly in sub-solid lesions. We developed a method (NIR-nCLE) to achieve cellular level cancer detection during biopsy by integrating (i) near-infrared (NIR) imaging using a cancer-targeted tracer (pafolacianine), and (ii) a flexible NIR confocal laser endomicroscopy (CLE) system that can fit within a biopsy needle. Our goal was to assess the diagnostic accuracy of NIR-nCLE ex vivo in SPNs. METHODS: Twenty patients with SPNs were preoperatively infused with pafolacianine. Following resection, specimens were inspected to identify the lesion of interest. NIR-nCLE imaging followed by tissue biopsy was performed within the lesion and in normal lung tissue. All imaging sequences (n = 115) were scored by 5 blinded raters on the presence of fluorescent cancer cells and compared to diagnoses by a thoracic pathologist. RESULTS: Most lesions (n = 15, 71%) were adenocarcinoma-spectrum malignancies, including 7 ground glass opacities (33%). Mean fluorescence intensity (MFI) by NIR-nCLE for tumor biopsy was 20.6 arbitrary units (A.U.) and mean MFI for normal lung was 6.4 A.U. (p < 0.001). Receiver operating characteristic analysis yielded a high area under the curve for MFI (AUC = 0.951). Blinded raters scored the NIR-nCLE sequences on the presence of fluorescent cancer cells with sensitivity and specificity of 98% and 97%, respectively. Overall diagnostic accuracy was 97%. The inter-observer agreement of the five raters was excellent (κ = 0.95). CONCLUSIONS: NIR-nCLE allows sensitive and specific detection of cancer cells in SPNs. This technology has far-reaching implications for diagnostic needle biopsies and intraprocedural decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-022-05868-9. |
format | Online Article Text |
id | pubmed-9525441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-95254412022-10-02 Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules Kennedy, Gregory T. Azari, Feredun S. Bernstein, Elizabeth Nadeem, Bilal Chang, Ashley Segil, Alix Sullivan, Neil Encarnado, Emmanuel Desphande, Charuhas Kucharczuk, John C. Leonard, Kaela Low, Philip S. Chen, Silvia Criton, Aline Singhal, Sunil Eur J Nucl Med Mol Imaging Original Article BACKGROUND: The diagnostic yield of biopsies of solitary pulmonary nodules (SPNs) is low, particularly in sub-solid lesions. We developed a method (NIR-nCLE) to achieve cellular level cancer detection during biopsy by integrating (i) near-infrared (NIR) imaging using a cancer-targeted tracer (pafolacianine), and (ii) a flexible NIR confocal laser endomicroscopy (CLE) system that can fit within a biopsy needle. Our goal was to assess the diagnostic accuracy of NIR-nCLE ex vivo in SPNs. METHODS: Twenty patients with SPNs were preoperatively infused with pafolacianine. Following resection, specimens were inspected to identify the lesion of interest. NIR-nCLE imaging followed by tissue biopsy was performed within the lesion and in normal lung tissue. All imaging sequences (n = 115) were scored by 5 blinded raters on the presence of fluorescent cancer cells and compared to diagnoses by a thoracic pathologist. RESULTS: Most lesions (n = 15, 71%) were adenocarcinoma-spectrum malignancies, including 7 ground glass opacities (33%). Mean fluorescence intensity (MFI) by NIR-nCLE for tumor biopsy was 20.6 arbitrary units (A.U.) and mean MFI for normal lung was 6.4 A.U. (p < 0.001). Receiver operating characteristic analysis yielded a high area under the curve for MFI (AUC = 0.951). Blinded raters scored the NIR-nCLE sequences on the presence of fluorescent cancer cells with sensitivity and specificity of 98% and 97%, respectively. Overall diagnostic accuracy was 97%. The inter-observer agreement of the five raters was excellent (κ = 0.95). CONCLUSIONS: NIR-nCLE allows sensitive and specific detection of cancer cells in SPNs. This technology has far-reaching implications for diagnostic needle biopsies and intraprocedural decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-022-05868-9. Springer Berlin Heidelberg 2022-07-05 2022 /pmc/articles/PMC9525441/ /pubmed/35788703 http://dx.doi.org/10.1007/s00259-022-05868-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Kennedy, Gregory T. Azari, Feredun S. Bernstein, Elizabeth Nadeem, Bilal Chang, Ashley Segil, Alix Sullivan, Neil Encarnado, Emmanuel Desphande, Charuhas Kucharczuk, John C. Leonard, Kaela Low, Philip S. Chen, Silvia Criton, Aline Singhal, Sunil Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules |
title | Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules |
title_full | Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules |
title_fullStr | Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules |
title_full_unstemmed | Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules |
title_short | Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules |
title_sort | targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525441/ https://www.ncbi.nlm.nih.gov/pubmed/35788703 http://dx.doi.org/10.1007/s00259-022-05868-9 |
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