Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model
Introduction Subjective surgeon interpretation of near-infrared perfusion video is limited by low inter-observer agreement and poor correlation to clinical outcomes. In contrast, quantification of indocyanine green fluorescence video (Q-ICG) correlates with histologic level of perfusion as well as c...
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| creator | Skinner, Garrett C. Marois, Mikael Oberlin, John McCulloh, Christopher J. Schwaitzberg, Steven D. Kim, Peter C. |
| description | Introduction
Subjective surgeon interpretation of near-infrared perfusion video is limited by low inter-observer agreement and poor correlation to clinical outcomes. In contrast, quantification of indocyanine green fluorescence video (Q-ICG) correlates with histologic level of perfusion as well as clinical outcomes. Measuring dye volume over time, however, has limitations, such as it is not on-demand, has poor spatial resolution, and is not easily repeatable. Laser speckle contrast imaging quantification (Q-LSCI) is a real-time, dye-free alternative, but further validation is needed. We hypothesize that Q-LSCI will distinguish ischemic tissue and correlate over a range of perfusion levels equivalent to Q-ICG.
Methods
Nine sections of intestine in three swine were devascularized. Pairs of indocyanine green fluorescence imaging and laser speckle contrast imaging video were quantified within perfused, watershed, and ischemic regions. Q-ICG used normalized peak inflow slope. Q-LSCI methods were laser speckle perfusion units (LSPU), the base unit of laser speckle imaging, relative perfusion units (RPU), a previously described methodology which utilizes an internal control, and zero-lag normalized cross-correlation (X-Corr), to investigate if the signal deviations convey accurate perfusion information. We determine the ability to distinguish ischemic regions and correlation to Q-ICG over a perfusion gradient.
Results
All modalities distinguished ischemic from perfused regions of interest; Q-ICG values of 0.028 and 0.155 (
p
|
| doi_str_mv | 10.1007/s00464-024-11061-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3086062317</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3086062317</sourcerecordid><originalsourceid>FETCH-LOGICAL-c256t-178847639e00abd9e249e4b7981adf165625466893e2de913e8665fd16a460213</originalsourceid><addsrcrecordid>eNp9kc2OFCEURonROO3oC7gwJG7coFygqGJpxt9kEje6JnTVrQ5jNVRzq5z0S_jM0vY4Ji5ckXyc-3HDYew5yNcgZfuGpDTWCKmMAJAWxO0DtgGjlVAKuodsI52WQrXOXLAnRDey8g6ax-xCO9k2GvSG_Xx3RDEhET-sIS1xjH1YYk48j3yJRCvyGcu40inbHvkUCAunGfvvE_I-p6UEWnjch11MOx6J42GNP8KEaeFLvm_Fgcc05P4YUkzIdwUx1YQHPufSn6J9HnB6yh6NYSJ8dndesm8f3n-9-iSuv3z8fPX2WvSqsYuAtutMa7VDKcN2cKiMQ7NtXQdhGME2VjXG2s5pVAM60NhZ24wD2GCsVKAv2atz71zyYUVa_D5Sj9MUEuaVvJadlVZpaCv68h_0Jq8l1e28BtBdbdYnSp2pvmSigqOfS_2UcvQg_cmWP9vy1Zb_bcvf1qEXd9Xrdo_D_cgfPRXQZ4DqVdph-fv2f2p_AY0zoYs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3113886637</pqid></control><display><type>article</type><title>Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model</title><source>SpringerNature Journals</source><creator>Skinner, Garrett C. ; Marois, Mikael ; Oberlin, John ; McCulloh, Christopher J. ; Schwaitzberg, Steven D. ; Kim, Peter C.</creator><creatorcontrib>Skinner, Garrett C. ; Marois, Mikael ; Oberlin, John ; McCulloh, Christopher J. ; Schwaitzberg, Steven D. ; Kim, Peter C.</creatorcontrib><description><![CDATA[Introduction
Subjective surgeon interpretation of near-infrared perfusion video is limited by low inter-observer agreement and poor correlation to clinical outcomes. In contrast, quantification of indocyanine green fluorescence video (Q-ICG) correlates with histologic level of perfusion as well as clinical outcomes. Measuring dye volume over time, however, has limitations, such as it is not on-demand, has poor spatial resolution, and is not easily repeatable. Laser speckle contrast imaging quantification (Q-LSCI) is a real-time, dye-free alternative, but further validation is needed. We hypothesize that Q-LSCI will distinguish ischemic tissue and correlate over a range of perfusion levels equivalent to Q-ICG.
Methods
Nine sections of intestine in three swine were devascularized. Pairs of indocyanine green fluorescence imaging and laser speckle contrast imaging video were quantified within perfused, watershed, and ischemic regions. Q-ICG used normalized peak inflow slope. Q-LSCI methods were laser speckle perfusion units (LSPU), the base unit of laser speckle imaging, relative perfusion units (RPU), a previously described methodology which utilizes an internal control, and zero-lag normalized cross-correlation (X-Corr), to investigate if the signal deviations convey accurate perfusion information. We determine the ability to distinguish ischemic regions and correlation to Q-ICG over a perfusion gradient.
Results
All modalities distinguished ischemic from perfused regions of interest; Q-ICG values of 0.028 and 0.155 (
p
< 0.001); RPU values of 0.15 and 0.68 (
p
< 0.001); and X-corr values of 0.73 and 0.24 (
p
< 0.001). Over a range of perfusion levels, RPU had the best correlation with Q-ICG (
r
= 0.79,
p
< 0.001) compared with LSPU (
r
= 0.74,
p
< 0.001) and X-Corr (
r
= 0.46,
p
< 0.001).
Conclusion
These results demonstrate that Q-LSCI discriminates ischemic from perfused tissue and represents similar perfusion information over a broad range of perfusion levels comparable to clinically validated Q-ICG. This suggests that Q-LSCI might offer clinically predictive real-time dye-free quantification of tissue perfusion. Further work should include validation in histologic studies and human clinical trials.]]></description><identifier>ISSN: 0930-2794</identifier><identifier>ISSN: 1432-2218</identifier><identifier>EISSN: 1432-2218</identifier><identifier>DOI: 10.1007/s00464-024-11061-w</identifier><identifier>PMID: 39075313</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>2024 SAGES Oral ; Abdominal Surgery ; Clinical outcomes ; Endoscopy ; Gastroenterology ; Gynecology ; Hepatology ; Infrared imaging systems ; Ischemia ; Lasers ; Medicine ; Medicine & Public Health ; Proctology ; Small intestine ; Surgeons ; Surgery ; Surgical anastomosis ; Surgical outcomes</subject><ispartof>Surgical endoscopy, 2024-10, Vol.38 (10), p.5957-5966</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c256t-178847639e00abd9e249e4b7981adf165625466893e2de913e8665fd16a460213</cites><orcidid>0000-0003-3627-7864</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00464-024-11061-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00464-024-11061-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39075313$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Skinner, Garrett C.</creatorcontrib><creatorcontrib>Marois, Mikael</creatorcontrib><creatorcontrib>Oberlin, John</creatorcontrib><creatorcontrib>McCulloh, Christopher J.</creatorcontrib><creatorcontrib>Schwaitzberg, Steven D.</creatorcontrib><creatorcontrib>Kim, Peter C.</creatorcontrib><title>Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model</title><title>Surgical endoscopy</title><addtitle>Surg Endosc</addtitle><addtitle>Surg Endosc</addtitle><description><![CDATA[Introduction
Subjective surgeon interpretation of near-infrared perfusion video is limited by low inter-observer agreement and poor correlation to clinical outcomes. In contrast, quantification of indocyanine green fluorescence video (Q-ICG) correlates with histologic level of perfusion as well as clinical outcomes. Measuring dye volume over time, however, has limitations, such as it is not on-demand, has poor spatial resolution, and is not easily repeatable. Laser speckle contrast imaging quantification (Q-LSCI) is a real-time, dye-free alternative, but further validation is needed. We hypothesize that Q-LSCI will distinguish ischemic tissue and correlate over a range of perfusion levels equivalent to Q-ICG.
Methods
Nine sections of intestine in three swine were devascularized. Pairs of indocyanine green fluorescence imaging and laser speckle contrast imaging video were quantified within perfused, watershed, and ischemic regions. Q-ICG used normalized peak inflow slope. Q-LSCI methods were laser speckle perfusion units (LSPU), the base unit of laser speckle imaging, relative perfusion units (RPU), a previously described methodology which utilizes an internal control, and zero-lag normalized cross-correlation (X-Corr), to investigate if the signal deviations convey accurate perfusion information. We determine the ability to distinguish ischemic regions and correlation to Q-ICG over a perfusion gradient.
Results
All modalities distinguished ischemic from perfused regions of interest; Q-ICG values of 0.028 and 0.155 (
p
< 0.001); RPU values of 0.15 and 0.68 (
p
< 0.001); and X-corr values of 0.73 and 0.24 (
p
< 0.001). Over a range of perfusion levels, RPU had the best correlation with Q-ICG (
r
= 0.79,
p
< 0.001) compared with LSPU (
r
= 0.74,
p
< 0.001) and X-Corr (
r
= 0.46,
p
< 0.001).
Conclusion
These results demonstrate that Q-LSCI discriminates ischemic from perfused tissue and represents similar perfusion information over a broad range of perfusion levels comparable to clinically validated Q-ICG. This suggests that Q-LSCI might offer clinically predictive real-time dye-free quantification of tissue perfusion. Further work should include validation in histologic studies and human clinical trials.]]></description><subject>2024 SAGES Oral</subject><subject>Abdominal Surgery</subject><subject>Clinical outcomes</subject><subject>Endoscopy</subject><subject>Gastroenterology</subject><subject>Gynecology</subject><subject>Hepatology</subject><subject>Infrared imaging systems</subject><subject>Ischemia</subject><subject>Lasers</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Proctology</subject><subject>Small intestine</subject><subject>Surgeons</subject><subject>Surgery</subject><subject>Surgical anastomosis</subject><subject>Surgical outcomes</subject><issn>0930-2794</issn><issn>1432-2218</issn><issn>1432-2218</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kc2OFCEURonROO3oC7gwJG7coFygqGJpxt9kEje6JnTVrQ5jNVRzq5z0S_jM0vY4Ji5ckXyc-3HDYew5yNcgZfuGpDTWCKmMAJAWxO0DtgGjlVAKuodsI52WQrXOXLAnRDey8g6ax-xCO9k2GvSG_Xx3RDEhET-sIS1xjH1YYk48j3yJRCvyGcu40inbHvkUCAunGfvvE_I-p6UEWnjch11MOx6J42GNP8KEaeFLvm_Fgcc05P4YUkzIdwUx1YQHPufSn6J9HnB6yh6NYSJ8dndesm8f3n-9-iSuv3z8fPX2WvSqsYuAtutMa7VDKcN2cKiMQ7NtXQdhGME2VjXG2s5pVAM60NhZ24wD2GCsVKAv2atz71zyYUVa_D5Sj9MUEuaVvJadlVZpaCv68h_0Jq8l1e28BtBdbdYnSp2pvmSigqOfS_2UcvQg_cmWP9vy1Zb_bcvf1qEXd9Xrdo_D_cgfPRXQZ4DqVdph-fv2f2p_AY0zoYs</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Skinner, Garrett C.</creator><creator>Marois, Mikael</creator><creator>Oberlin, John</creator><creator>McCulloh, Christopher J.</creator><creator>Schwaitzberg, Steven D.</creator><creator>Kim, Peter C.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3627-7864</orcidid></search><sort><creationdate>20241001</creationdate><title>Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model</title><author>Skinner, Garrett C. ; Marois, Mikael ; Oberlin, John ; McCulloh, Christopher J. ; Schwaitzberg, Steven D. ; Kim, Peter C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-178847639e00abd9e249e4b7981adf165625466893e2de913e8665fd16a460213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>2024 SAGES Oral</topic><topic>Abdominal Surgery</topic><topic>Clinical outcomes</topic><topic>Endoscopy</topic><topic>Gastroenterology</topic><topic>Gynecology</topic><topic>Hepatology</topic><topic>Infrared imaging systems</topic><topic>Ischemia</topic><topic>Lasers</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Proctology</topic><topic>Small intestine</topic><topic>Surgeons</topic><topic>Surgery</topic><topic>Surgical anastomosis</topic><topic>Surgical outcomes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Skinner, Garrett C.</creatorcontrib><creatorcontrib>Marois, Mikael</creatorcontrib><creatorcontrib>Oberlin, John</creatorcontrib><creatorcontrib>McCulloh, Christopher J.</creatorcontrib><creatorcontrib>Schwaitzberg, Steven D.</creatorcontrib><creatorcontrib>Kim, Peter C.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Surgical endoscopy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Skinner, Garrett C.</au><au>Marois, Mikael</au><au>Oberlin, John</au><au>McCulloh, Christopher J.</au><au>Schwaitzberg, Steven D.</au><au>Kim, Peter C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model</atitle><jtitle>Surgical endoscopy</jtitle><stitle>Surg Endosc</stitle><addtitle>Surg Endosc</addtitle><date>2024-10-01</date><risdate>2024</risdate><volume>38</volume><issue>10</issue><spage>5957</spage><epage>5966</epage><pages>5957-5966</pages><issn>0930-2794</issn><issn>1432-2218</issn><eissn>1432-2218</eissn><abstract><![CDATA[Introduction
Subjective surgeon interpretation of near-infrared perfusion video is limited by low inter-observer agreement and poor correlation to clinical outcomes. In contrast, quantification of indocyanine green fluorescence video (Q-ICG) correlates with histologic level of perfusion as well as clinical outcomes. Measuring dye volume over time, however, has limitations, such as it is not on-demand, has poor spatial resolution, and is not easily repeatable. Laser speckle contrast imaging quantification (Q-LSCI) is a real-time, dye-free alternative, but further validation is needed. We hypothesize that Q-LSCI will distinguish ischemic tissue and correlate over a range of perfusion levels equivalent to Q-ICG.
Methods
Nine sections of intestine in three swine were devascularized. Pairs of indocyanine green fluorescence imaging and laser speckle contrast imaging video were quantified within perfused, watershed, and ischemic regions. Q-ICG used normalized peak inflow slope. Q-LSCI methods were laser speckle perfusion units (LSPU), the base unit of laser speckle imaging, relative perfusion units (RPU), a previously described methodology which utilizes an internal control, and zero-lag normalized cross-correlation (X-Corr), to investigate if the signal deviations convey accurate perfusion information. We determine the ability to distinguish ischemic regions and correlation to Q-ICG over a perfusion gradient.
Results
All modalities distinguished ischemic from perfused regions of interest; Q-ICG values of 0.028 and 0.155 (
p
< 0.001); RPU values of 0.15 and 0.68 (
p
< 0.001); and X-corr values of 0.73 and 0.24 (
p
< 0.001). Over a range of perfusion levels, RPU had the best correlation with Q-ICG (
r
= 0.79,
p
< 0.001) compared with LSPU (
r
= 0.74,
p
< 0.001) and X-Corr (
r
= 0.46,
p
< 0.001).
Conclusion
These results demonstrate that Q-LSCI discriminates ischemic from perfused tissue and represents similar perfusion information over a broad range of perfusion levels comparable to clinically validated Q-ICG. This suggests that Q-LSCI might offer clinically predictive real-time dye-free quantification of tissue perfusion. Further work should include validation in histologic studies and human clinical trials.]]></abstract><cop>New York</cop><pub>Springer US</pub><pmid>39075313</pmid><doi>10.1007/s00464-024-11061-w</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3627-7864</orcidid></addata></record> |
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| source | SpringerNature Journals |
| subjects | 2024 SAGES Oral Abdominal Surgery Clinical outcomes Endoscopy Gastroenterology Gynecology Hepatology Infrared imaging systems Ischemia Lasers Medicine Medicine & Public Health Proctology Small intestine Surgeons Surgery Surgical anastomosis Surgical outcomes |
| title | Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model |
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