Electromagnetic Tracking and Optical Molecular Imaging Guidance for Liver Biopsy and Point-of-Care Tissue Assessment in Phantom and Woodchuck Hepatocellular Carcinoma
Purpose To evaluate an integrated liver biopsy platform that combined CT image fusion, electromagnetic (EM) tracking, and optical molecular imaging (OMI) of indocyanine green (ICG) to target hepatocellular carcinoma (HCC) lesions and a point-of-care (POC) OMI to assess biopsy cores, all based on tum...
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| Veröffentlicht in: | Cardiovascular and interventional radiology 2021-09, Vol.44 (9), p.1439-1447, Article 1439 |
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| creator | de Ruiter, Quirina M. B. Xu, Sheng Li, Ming Pritchard, William F. Starost, Matthew F. Filie, Armando Mikhail, Andrew S. Mauda-Havakuk, Michal Esparza-Trujillo, Juan A. Bakhutashvili, Ivane Heidari, Pedram Mahmood, Umar Karanian, John W. Wood, Bradford J. |
| description | Purpose
To evaluate an integrated liver biopsy platform that combined CT image fusion, electromagnetic (EM) tracking, and optical molecular imaging (OMI) of indocyanine green (ICG) to target hepatocellular carcinoma (HCC) lesions and a point-of-care (POC) OMI to assess biopsy cores, all based on tumor retention of ICG compared to normal liver, in phantom and animal model.
Material
A custom CT image fusion and EM-tracked guidance platform was modified to integrate the measurement of ICG fluorescence intensity signals in targeted liver tissue with an OMI stylet or a POC OMI system. Accuracy was evaluated in phantom and a woodchuck with HCC, 1 day after administration of ICG. Fresh biopsy cores and paraffin-embedded formalin-fixed liver tissue blocks were evaluated with the OMI stylet or POC system to identify ICG fluorescence signal and ICG peak intensity.
Results
The mean distance between the initial guided needle delivery location and the peak ICG signal was 5.0 ± 4.7 mm in the phantom. There was complete agreement between the reviewers of the POC-acquired ICG images, cytology, and histopathology in differentiating HCC-positive from HCC-negative biopsy cores. The peak ICG fluorescence intensity signal in the ex vivo liver blocks was 39 ± 12 and 281 ± 150 for HCC negative and HCC positive, respectively.
Conclusion
Biopsy guidance with fused CT imaging, EM tracking, and ICG tracking with an OMI stylet to detect HCC is feasible. Immediate assessment of ICG uptake in biopsy cores with the POC OMI system is feasible and correlates with the presence of HCC in the tissue. |
| doi_str_mv | 10.1007/s00270-021-02853-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8384721</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2531220952</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-f36db858bbd5d52f11c242cad8469cb71d5110cef089ff7cd34842cb87b0c9303</originalsourceid><addsrcrecordid>eNp9kk9vFCEYxonR2HX1C3gwJF68jPJnmGEvJnVT2yZr2sMavREGmF3aGZgC07RfqJ-z7Gyt2kMPhIT39zy8D7wAvMfoM0ao_hIRIjUqEMF5cUaLmxdghktKCsSr3y_BDOG6LDBj-AC8ifECIcw4Ya_BAS2ziHI0A3dHnVEp-F5unElWwXWQ6tK6DZROw7MhH8kO_vCZGjsZ4GkGd9Xj0WrplIGtD3Blr02A36wf4u2kO_fWpcK3xVIGA9c2xtHAwxhNjL1xCVoHz7fSJd9P-C_vtdqO6hKemEEmr0zXTbdlubIuN_cWvGplF827h30Ofn4_Wi9PitXZ8enycFWosi5T0dJKN5zxptFMM9JirEhJlNS8rBaqqbFmGCNlWsQXbVsrTUue6w2vG6QWFNE5-Lr3HcamN1rlZoPsxBBsL8Ot8NKK_yvObsXGXwtOeVnnN52DTw8GwV-NJibR27jLI53xYxSEUUwIWjCS0Y9P0As_BpfjZaqirKr5RJE9pYKPMZj2sRmMxG4MxH4MRP5RMY2BuMmiD__GeJT8-fcM8CeuyiaZrN-lst3z3nQvjdnVbUz42_YzqnvRptRB</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2563567852</pqid></control><display><type>article</type><title>Electromagnetic Tracking and Optical Molecular Imaging Guidance for Liver Biopsy and Point-of-Care Tissue Assessment in Phantom and Woodchuck Hepatocellular Carcinoma</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>de Ruiter, Quirina M. B. ; Xu, Sheng ; Li, Ming ; Pritchard, William F. ; Starost, Matthew F. ; Filie, Armando ; Mikhail, Andrew S. ; Mauda-Havakuk, Michal ; Esparza-Trujillo, Juan A. ; Bakhutashvili, Ivane ; Heidari, Pedram ; Mahmood, Umar ; Karanian, John W. ; Wood, Bradford J.</creator><creatorcontrib>de Ruiter, Quirina M. B. ; Xu, Sheng ; Li, Ming ; Pritchard, William F. ; Starost, Matthew F. ; Filie, Armando ; Mikhail, Andrew S. ; Mauda-Havakuk, Michal ; Esparza-Trujillo, Juan A. ; Bakhutashvili, Ivane ; Heidari, Pedram ; Mahmood, Umar ; Karanian, John W. ; Wood, Bradford J.</creatorcontrib><description>Purpose
To evaluate an integrated liver biopsy platform that combined CT image fusion, electromagnetic (EM) tracking, and optical molecular imaging (OMI) of indocyanine green (ICG) to target hepatocellular carcinoma (HCC) lesions and a point-of-care (POC) OMI to assess biopsy cores, all based on tumor retention of ICG compared to normal liver, in phantom and animal model.
Material
A custom CT image fusion and EM-tracked guidance platform was modified to integrate the measurement of ICG fluorescence intensity signals in targeted liver tissue with an OMI stylet or a POC OMI system. Accuracy was evaluated in phantom and a woodchuck with HCC, 1 day after administration of ICG. Fresh biopsy cores and paraffin-embedded formalin-fixed liver tissue blocks were evaluated with the OMI stylet or POC system to identify ICG fluorescence signal and ICG peak intensity.
Results
The mean distance between the initial guided needle delivery location and the peak ICG signal was 5.0 ± 4.7 mm in the phantom. There was complete agreement between the reviewers of the POC-acquired ICG images, cytology, and histopathology in differentiating HCC-positive from HCC-negative biopsy cores. The peak ICG fluorescence intensity signal in the ex vivo liver blocks was 39 ± 12 and 281 ± 150 for HCC negative and HCC positive, respectively.
Conclusion
Biopsy guidance with fused CT imaging, EM tracking, and ICG tracking with an OMI stylet to detect HCC is feasible. Immediate assessment of ICG uptake in biopsy cores with the POC OMI system is feasible and correlates with the presence of HCC in the tissue.</description><identifier>ISSN: 0174-1551</identifier><identifier>ISSN: 1432-086X</identifier><identifier>EISSN: 1432-086X</identifier><identifier>DOI: 10.1007/s00270-021-02853-x</identifier><identifier>PMID: 34021380</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Animal models ; Animals ; Biopsy ; Carcinoma, Hepatocellular - diagnostic imaging ; Cardiology ; Computed tomography ; Computer vision ; Cores ; Cytology ; Disease Models, Animal ; Electromagnetic Phenomena ; Evaluation ; Fluorescence ; Hepatocellular carcinoma ; Histopathology ; Image acquisition ; Image processing ; Imaging ; Laboratory Investigation ; Liver ; Liver cancer ; Liver Neoplasms - diagnostic imaging ; Marmota ; Medicine ; Medicine & Public Health ; Molecular Imaging ; Non-Vascular Interventions ; Nuclear Medicine ; Paraffin ; Paraffins ; Point-of-Care Systems ; Radiology ; Tissues ; Ultrasound</subject><ispartof>Cardiovascular and interventional radiology, 2021-09, Vol.44 (9), p.1439-1447, Article 1439</ispartof><rights>This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021</rights><rights>2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.</rights><rights>This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-f36db858bbd5d52f11c242cad8469cb71d5110cef089ff7cd34842cb87b0c9303</citedby><cites>FETCH-LOGICAL-c474t-f36db858bbd5d52f11c242cad8469cb71d5110cef089ff7cd34842cb87b0c9303</cites><orcidid>0000-0002-0031-8938</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/s00270-021-02853-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00270-021-02853-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34021380$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Ruiter, Quirina M. B.</creatorcontrib><creatorcontrib>Xu, Sheng</creatorcontrib><creatorcontrib>Li, Ming</creatorcontrib><creatorcontrib>Pritchard, William F.</creatorcontrib><creatorcontrib>Starost, Matthew F.</creatorcontrib><creatorcontrib>Filie, Armando</creatorcontrib><creatorcontrib>Mikhail, Andrew S.</creatorcontrib><creatorcontrib>Mauda-Havakuk, Michal</creatorcontrib><creatorcontrib>Esparza-Trujillo, Juan A.</creatorcontrib><creatorcontrib>Bakhutashvili, Ivane</creatorcontrib><creatorcontrib>Heidari, Pedram</creatorcontrib><creatorcontrib>Mahmood, Umar</creatorcontrib><creatorcontrib>Karanian, John W.</creatorcontrib><creatorcontrib>Wood, Bradford J.</creatorcontrib><title>Electromagnetic Tracking and Optical Molecular Imaging Guidance for Liver Biopsy and Point-of-Care Tissue Assessment in Phantom and Woodchuck Hepatocellular Carcinoma</title><title>Cardiovascular and interventional radiology</title><addtitle>Cardiovasc Intervent Radiol</addtitle><addtitle>Cardiovasc Intervent Radiol</addtitle><description>Purpose
To evaluate an integrated liver biopsy platform that combined CT image fusion, electromagnetic (EM) tracking, and optical molecular imaging (OMI) of indocyanine green (ICG) to target hepatocellular carcinoma (HCC) lesions and a point-of-care (POC) OMI to assess biopsy cores, all based on tumor retention of ICG compared to normal liver, in phantom and animal model.
Material
A custom CT image fusion and EM-tracked guidance platform was modified to integrate the measurement of ICG fluorescence intensity signals in targeted liver tissue with an OMI stylet or a POC OMI system. Accuracy was evaluated in phantom and a woodchuck with HCC, 1 day after administration of ICG. Fresh biopsy cores and paraffin-embedded formalin-fixed liver tissue blocks were evaluated with the OMI stylet or POC system to identify ICG fluorescence signal and ICG peak intensity.
Results
The mean distance between the initial guided needle delivery location and the peak ICG signal was 5.0 ± 4.7 mm in the phantom. There was complete agreement between the reviewers of the POC-acquired ICG images, cytology, and histopathology in differentiating HCC-positive from HCC-negative biopsy cores. The peak ICG fluorescence intensity signal in the ex vivo liver blocks was 39 ± 12 and 281 ± 150 for HCC negative and HCC positive, respectively.
Conclusion
Biopsy guidance with fused CT imaging, EM tracking, and ICG tracking with an OMI stylet to detect HCC is feasible. Immediate assessment of ICG uptake in biopsy cores with the POC OMI system is feasible and correlates with the presence of HCC in the tissue.</description><subject>Animal models</subject><subject>Animals</subject><subject>Biopsy</subject><subject>Carcinoma, Hepatocellular - diagnostic imaging</subject><subject>Cardiology</subject><subject>Computed tomography</subject><subject>Computer vision</subject><subject>Cores</subject><subject>Cytology</subject><subject>Disease Models, Animal</subject><subject>Electromagnetic Phenomena</subject><subject>Evaluation</subject><subject>Fluorescence</subject><subject>Hepatocellular carcinoma</subject><subject>Histopathology</subject><subject>Image acquisition</subject><subject>Image processing</subject><subject>Imaging</subject><subject>Laboratory Investigation</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Marmota</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Molecular Imaging</subject><subject>Non-Vascular Interventions</subject><subject>Nuclear Medicine</subject><subject>Paraffin</subject><subject>Paraffins</subject><subject>Point-of-Care Systems</subject><subject>Radiology</subject><subject>Tissues</subject><subject>Ultrasound</subject><issn>0174-1551</issn><issn>1432-086X</issn><issn>1432-086X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kk9vFCEYxonR2HX1C3gwJF68jPJnmGEvJnVT2yZr2sMavREGmF3aGZgC07RfqJ-z7Gyt2kMPhIT39zy8D7wAvMfoM0ao_hIRIjUqEMF5cUaLmxdghktKCsSr3y_BDOG6LDBj-AC8ifECIcw4Ya_BAS2ziHI0A3dHnVEp-F5unElWwXWQ6tK6DZROw7MhH8kO_vCZGjsZ4GkGd9Xj0WrplIGtD3Blr02A36wf4u2kO_fWpcK3xVIGA9c2xtHAwxhNjL1xCVoHz7fSJd9P-C_vtdqO6hKemEEmr0zXTbdlubIuN_cWvGplF827h30Ofn4_Wi9PitXZ8enycFWosi5T0dJKN5zxptFMM9JirEhJlNS8rBaqqbFmGCNlWsQXbVsrTUue6w2vG6QWFNE5-Lr3HcamN1rlZoPsxBBsL8Ot8NKK_yvObsXGXwtOeVnnN52DTw8GwV-NJibR27jLI53xYxSEUUwIWjCS0Y9P0As_BpfjZaqirKr5RJE9pYKPMZj2sRmMxG4MxH4MRP5RMY2BuMmiD__GeJT8-fcM8CeuyiaZrN-lst3z3nQvjdnVbUz42_YzqnvRptRB</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>de Ruiter, Quirina M. B.</creator><creator>Xu, Sheng</creator><creator>Li, Ming</creator><creator>Pritchard, William F.</creator><creator>Starost, Matthew F.</creator><creator>Filie, Armando</creator><creator>Mikhail, Andrew S.</creator><creator>Mauda-Havakuk, Michal</creator><creator>Esparza-Trujillo, Juan A.</creator><creator>Bakhutashvili, Ivane</creator><creator>Heidari, Pedram</creator><creator>Mahmood, Umar</creator><creator>Karanian, John W.</creator><creator>Wood, Bradford J.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0031-8938</orcidid></search><sort><creationdate>20210901</creationdate><title>Electromagnetic Tracking and Optical Molecular Imaging Guidance for Liver Biopsy and Point-of-Care Tissue Assessment in Phantom and Woodchuck Hepatocellular Carcinoma</title><author>de Ruiter, Quirina M. B. ; Xu, Sheng ; Li, Ming ; Pritchard, William F. ; Starost, Matthew F. ; Filie, Armando ; Mikhail, Andrew S. ; Mauda-Havakuk, Michal ; Esparza-Trujillo, Juan A. ; Bakhutashvili, Ivane ; Heidari, Pedram ; Mahmood, Umar ; Karanian, John W. ; Wood, Bradford J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-f36db858bbd5d52f11c242cad8469cb71d5110cef089ff7cd34842cb87b0c9303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animal models</topic><topic>Animals</topic><topic>Biopsy</topic><topic>Carcinoma, Hepatocellular - diagnostic imaging</topic><topic>Cardiology</topic><topic>Computed tomography</topic><topic>Computer vision</topic><topic>Cores</topic><topic>Cytology</topic><topic>Disease Models, Animal</topic><topic>Electromagnetic Phenomena</topic><topic>Evaluation</topic><topic>Fluorescence</topic><topic>Hepatocellular carcinoma</topic><topic>Histopathology</topic><topic>Image acquisition</topic><topic>Image processing</topic><topic>Imaging</topic><topic>Laboratory Investigation</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Marmota</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Molecular Imaging</topic><topic>Non-Vascular Interventions</topic><topic>Nuclear Medicine</topic><topic>Paraffin</topic><topic>Paraffins</topic><topic>Point-of-Care Systems</topic><topic>Radiology</topic><topic>Tissues</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Ruiter, Quirina M. B.</creatorcontrib><creatorcontrib>Xu, Sheng</creatorcontrib><creatorcontrib>Li, Ming</creatorcontrib><creatorcontrib>Pritchard, William F.</creatorcontrib><creatorcontrib>Starost, Matthew F.</creatorcontrib><creatorcontrib>Filie, Armando</creatorcontrib><creatorcontrib>Mikhail, Andrew S.</creatorcontrib><creatorcontrib>Mauda-Havakuk, Michal</creatorcontrib><creatorcontrib>Esparza-Trujillo, Juan A.</creatorcontrib><creatorcontrib>Bakhutashvili, Ivane</creatorcontrib><creatorcontrib>Heidari, Pedram</creatorcontrib><creatorcontrib>Mahmood, Umar</creatorcontrib><creatorcontrib>Karanian, John W.</creatorcontrib><creatorcontrib>Wood, Bradford J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cardiovascular and interventional radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Ruiter, Quirina M. B.</au><au>Xu, Sheng</au><au>Li, Ming</au><au>Pritchard, William F.</au><au>Starost, Matthew F.</au><au>Filie, Armando</au><au>Mikhail, Andrew S.</au><au>Mauda-Havakuk, Michal</au><au>Esparza-Trujillo, Juan A.</au><au>Bakhutashvili, Ivane</au><au>Heidari, Pedram</au><au>Mahmood, Umar</au><au>Karanian, John W.</au><au>Wood, Bradford J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Electromagnetic Tracking and Optical Molecular Imaging Guidance for Liver Biopsy and Point-of-Care Tissue Assessment in Phantom and Woodchuck Hepatocellular Carcinoma</atitle><jtitle>Cardiovascular and interventional radiology</jtitle><stitle>Cardiovasc Intervent Radiol</stitle><addtitle>Cardiovasc Intervent Radiol</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>44</volume><issue>9</issue><spage>1439</spage><epage>1447</epage><pages>1439-1447</pages><artnum>1439</artnum><issn>0174-1551</issn><issn>1432-086X</issn><eissn>1432-086X</eissn><abstract>Purpose
To evaluate an integrated liver biopsy platform that combined CT image fusion, electromagnetic (EM) tracking, and optical molecular imaging (OMI) of indocyanine green (ICG) to target hepatocellular carcinoma (HCC) lesions and a point-of-care (POC) OMI to assess biopsy cores, all based on tumor retention of ICG compared to normal liver, in phantom and animal model.
Material
A custom CT image fusion and EM-tracked guidance platform was modified to integrate the measurement of ICG fluorescence intensity signals in targeted liver tissue with an OMI stylet or a POC OMI system. Accuracy was evaluated in phantom and a woodchuck with HCC, 1 day after administration of ICG. Fresh biopsy cores and paraffin-embedded formalin-fixed liver tissue blocks were evaluated with the OMI stylet or POC system to identify ICG fluorescence signal and ICG peak intensity.
Results
The mean distance between the initial guided needle delivery location and the peak ICG signal was 5.0 ± 4.7 mm in the phantom. There was complete agreement between the reviewers of the POC-acquired ICG images, cytology, and histopathology in differentiating HCC-positive from HCC-negative biopsy cores. The peak ICG fluorescence intensity signal in the ex vivo liver blocks was 39 ± 12 and 281 ± 150 for HCC negative and HCC positive, respectively.
Conclusion
Biopsy guidance with fused CT imaging, EM tracking, and ICG tracking with an OMI stylet to detect HCC is feasible. Immediate assessment of ICG uptake in biopsy cores with the POC OMI system is feasible and correlates with the presence of HCC in the tissue.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>34021380</pmid><doi>10.1007/s00270-021-02853-x</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0031-8938</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Cardiovascular and interventional radiology, 2021-09, Vol.44 (9), p.1439-1447, Article 1439 |
| issn | 0174-1551 1432-086X 1432-086X |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8384721 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Animal models Animals Biopsy Carcinoma, Hepatocellular - diagnostic imaging Cardiology Computed tomography Computer vision Cores Cytology Disease Models, Animal Electromagnetic Phenomena Evaluation Fluorescence Hepatocellular carcinoma Histopathology Image acquisition Image processing Imaging Laboratory Investigation Liver Liver cancer Liver Neoplasms - diagnostic imaging Marmota Medicine Medicine & Public Health Molecular Imaging Non-Vascular Interventions Nuclear Medicine Paraffin Paraffins Point-of-Care Systems Radiology Tissues Ultrasound |
| title | Electromagnetic Tracking and Optical Molecular Imaging Guidance for Liver Biopsy and Point-of-Care Tissue Assessment in Phantom and Woodchuck Hepatocellular Carcinoma |
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