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Fibre-based fluorescence-lifetime imaging microscopy: a real-time biopsy guidance tool for suspected lung cancer
Lung cancer is the most common cause of cancer-related deaths worldwide. Early detection improves outcomes, however, existing sampling techniques are associated with suboptimal diagnostic yield and procedure-related complications. Autofluorescence-based fluorescence-lifetime imaging microscopy (FLIM...
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Published in: | Translational lung cancer research 2024-02, Vol.13 (2), p.355-361 |
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container_title | Translational lung cancer research |
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creator | Fernandes, Susan Williams, Elvira Finlayson, Neil Stewart, Hazel Dhaliwal, Catharine Dorward, David A. Wallace, William A. Akram, Ahsan R. Stone, James Dhaliwal, Kevin Williams, Gareth O. S. |
description | Lung cancer is the most common cause of cancer-related deaths worldwide. Early detection improves outcomes, however, existing sampling techniques are associated with suboptimal diagnostic yield and procedure-related complications. Autofluorescence-based fluorescence-lifetime imaging microscopy (FLIM), a technique which measures endogenous fluorophore decay rates, may aid identification of optimal biopsy sites in suspected lung cancer. Our fibre-based fluorescence-lifetime imaging system, utilising 488 nm excitation, which is deliverable via existing diagnostic platforms, enables real-time visualisation and lifetime analysis of distal alveolar lung structure. We evaluated the diagnostic accuracy of the fibre-based fluorescence-lifetime imaging system to detect changes in fluorescence lifetime in freshly resected
ex vivo
lung cancer and adjacent healthy tissue as a first step towards future translation. The study compares paired non-small cell lung cancer (NSCLC) and non-cancerous tissues with gold standard diagnostic pathology to assess the performance of the technique. Paired NSCLC and non-cancerous lung tissues were obtained from thoracic resection patients (N=21). A clinically compatible 488 nm fluorescence-lifetime endomicroscopy platform was used to acquire simultaneous fluorescence intensity and lifetime images. Fluorescence lifetimes were calculated using a computationally-lightweight, rapid lifetime determination method. Fluorescence lifetime was significantly reduced in
ex vivo
lung cancer, compared with non-cancerous lung tissue [mean ± standard deviation (SD), 1.79±0.40
vs
. 2.15±0.26 ns, P |
doi_str_mv | 10.21037/tlcr-23-638 |
format | article |
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ex vivo
lung cancer and adjacent healthy tissue as a first step towards future translation. The study compares paired non-small cell lung cancer (NSCLC) and non-cancerous tissues with gold standard diagnostic pathology to assess the performance of the technique. Paired NSCLC and non-cancerous lung tissues were obtained from thoracic resection patients (N=21). A clinically compatible 488 nm fluorescence-lifetime endomicroscopy platform was used to acquire simultaneous fluorescence intensity and lifetime images. Fluorescence lifetimes were calculated using a computationally-lightweight, rapid lifetime determination method. Fluorescence lifetime was significantly reduced in
ex vivo
lung cancer, compared with non-cancerous lung tissue [mean ± standard deviation (SD), 1.79±0.40
vs
. 2.15±0.26 ns, P<0.0001], and fluorescence intensity images demonstrated distortion of alveolar elastin autofluorescence structure. Fibre-based fluorescence-lifetime imaging demonstrated good performance characteristics for distinguishing lung cancer, from adjacent non-cancerous tissue, with 81.0% sensitivity and 71.4% specificity. Our novel fibre-based fluorescence-lifetime imaging system, which enables label-free imaging and quantitative lifetime analysis, discriminates
ex vivo
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ex vivo
lung cancer and adjacent healthy tissue as a first step towards future translation. The study compares paired non-small cell lung cancer (NSCLC) and non-cancerous tissues with gold standard diagnostic pathology to assess the performance of the technique. Paired NSCLC and non-cancerous lung tissues were obtained from thoracic resection patients (N=21). A clinically compatible 488 nm fluorescence-lifetime endomicroscopy platform was used to acquire simultaneous fluorescence intensity and lifetime images. Fluorescence lifetimes were calculated using a computationally-lightweight, rapid lifetime determination method. Fluorescence lifetime was significantly reduced in
ex vivo
lung cancer, compared with non-cancerous lung tissue [mean ± standard deviation (SD), 1.79±0.40
vs
. 2.15±0.26 ns, P<0.0001], and fluorescence intensity images demonstrated distortion of alveolar elastin autofluorescence structure. Fibre-based fluorescence-lifetime imaging demonstrated good performance characteristics for distinguishing lung cancer, from adjacent non-cancerous tissue, with 81.0% sensitivity and 71.4% specificity. Our novel fibre-based fluorescence-lifetime imaging system, which enables label-free imaging and quantitative lifetime analysis, discriminates
ex vivo
lung cancer from adjacent healthy tissue. This minimally invasive technique has potential to be translated as a real-time biopsy guidance tool, capable of optimising diagnostic accuracy in lung cancer.</description><subject>Brief Report</subject><issn>2218-6751</issn><issn>2226-4477</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpVkM1KxDAUhYMoOIyz8wHyAEbz0zatG5HBUWHAja5Dmt7USNqUpBXm7W1nRHB1Lxy-D85B6JrRW86okHejN5FwQQpRnqEV57wgWSbl-fKzkhQyZ5dok9IXpZRlVZbn1QoNO1dHILVO0GDrpxAhGegNEO8sjK4D7Drdur7FnTMxJBOGwz3WOIL25JjXLgzpgNvJNXoG8RiCxzZEnKY0gBlnsZ9m3ixpvEIXVvsEm9-7Rh-7p_ftC9m_Pb9uH_fEiIyPxFaQA22oKLnNmrLgJi8siNLY2kjKuJQCpGGF0UZbazVlTNeaS8Y4E01TijV6OHmHqe6gmTuNUXs1xLlOPKignfqf9O5TteFbMVqJktFsNtycDEvtFMH-wYyq4-RqmVxxoebJxQ-bVHkr</recordid><startdate>20240229</startdate><enddate>20240229</enddate><creator>Fernandes, Susan</creator><creator>Williams, Elvira</creator><creator>Finlayson, Neil</creator><creator>Stewart, Hazel</creator><creator>Dhaliwal, Catharine</creator><creator>Dorward, David A.</creator><creator>Wallace, William A.</creator><creator>Akram, Ahsan R.</creator><creator>Stone, James</creator><creator>Dhaliwal, Kevin</creator><creator>Williams, Gareth O. S.</creator><general>AME Publishing Company</general><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>20240229</creationdate><title>Fibre-based fluorescence-lifetime imaging microscopy: a real-time biopsy guidance tool for suspected lung cancer</title><author>Fernandes, Susan ; Williams, Elvira ; Finlayson, Neil ; Stewart, Hazel ; Dhaliwal, Catharine ; Dorward, David A. ; Wallace, William A. ; Akram, Ahsan R. ; Stone, James ; Dhaliwal, Kevin ; Williams, Gareth O. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-f9e5e0d0382f4d862c56fe38cfbc7012773e7c16cacafffa011aba2711213dd83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Brief Report</topic><toplevel>online_resources</toplevel><creatorcontrib>Fernandes, Susan</creatorcontrib><creatorcontrib>Williams, Elvira</creatorcontrib><creatorcontrib>Finlayson, Neil</creatorcontrib><creatorcontrib>Stewart, Hazel</creatorcontrib><creatorcontrib>Dhaliwal, Catharine</creatorcontrib><creatorcontrib>Dorward, David A.</creatorcontrib><creatorcontrib>Wallace, William A.</creatorcontrib><creatorcontrib>Akram, Ahsan R.</creatorcontrib><creatorcontrib>Stone, James</creatorcontrib><creatorcontrib>Dhaliwal, Kevin</creatorcontrib><creatorcontrib>Williams, Gareth O. S.</creatorcontrib><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Translational lung cancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fernandes, Susan</au><au>Williams, Elvira</au><au>Finlayson, Neil</au><au>Stewart, Hazel</au><au>Dhaliwal, Catharine</au><au>Dorward, David A.</au><au>Wallace, William A.</au><au>Akram, Ahsan R.</au><au>Stone, James</au><au>Dhaliwal, Kevin</au><au>Williams, Gareth O. S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fibre-based fluorescence-lifetime imaging microscopy: a real-time biopsy guidance tool for suspected lung cancer</atitle><jtitle>Translational lung cancer research</jtitle><date>2024-02-29</date><risdate>2024</risdate><volume>13</volume><issue>2</issue><spage>355</spage><epage>361</epage><pages>355-361</pages><issn>2218-6751</issn><eissn>2226-4477</eissn><abstract>Lung cancer is the most common cause of cancer-related deaths worldwide. Early detection improves outcomes, however, existing sampling techniques are associated with suboptimal diagnostic yield and procedure-related complications. Autofluorescence-based fluorescence-lifetime imaging microscopy (FLIM), a technique which measures endogenous fluorophore decay rates, may aid identification of optimal biopsy sites in suspected lung cancer. Our fibre-based fluorescence-lifetime imaging system, utilising 488 nm excitation, which is deliverable via existing diagnostic platforms, enables real-time visualisation and lifetime analysis of distal alveolar lung structure. We evaluated the diagnostic accuracy of the fibre-based fluorescence-lifetime imaging system to detect changes in fluorescence lifetime in freshly resected
ex vivo
lung cancer and adjacent healthy tissue as a first step towards future translation. The study compares paired non-small cell lung cancer (NSCLC) and non-cancerous tissues with gold standard diagnostic pathology to assess the performance of the technique. Paired NSCLC and non-cancerous lung tissues were obtained from thoracic resection patients (N=21). A clinically compatible 488 nm fluorescence-lifetime endomicroscopy platform was used to acquire simultaneous fluorescence intensity and lifetime images. Fluorescence lifetimes were calculated using a computationally-lightweight, rapid lifetime determination method. Fluorescence lifetime was significantly reduced in
ex vivo
lung cancer, compared with non-cancerous lung tissue [mean ± standard deviation (SD), 1.79±0.40
vs
. 2.15±0.26 ns, P<0.0001], and fluorescence intensity images demonstrated distortion of alveolar elastin autofluorescence structure. Fibre-based fluorescence-lifetime imaging demonstrated good performance characteristics for distinguishing lung cancer, from adjacent non-cancerous tissue, with 81.0% sensitivity and 71.4% specificity. Our novel fibre-based fluorescence-lifetime imaging system, which enables label-free imaging and quantitative lifetime analysis, discriminates
ex vivo
lung cancer from adjacent healthy tissue. This minimally invasive technique has potential to be translated as a real-time biopsy guidance tool, capable of optimising diagnostic accuracy in lung cancer.</abstract><pub>AME Publishing Company</pub><doi>10.21037/tlcr-23-638</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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title | Fibre-based fluorescence-lifetime imaging microscopy: a real-time biopsy guidance tool for suspected lung cancer |
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