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Colorectal carcinoma: Ex vivo evaluation using q‐space imaging; Correlation with histopathologic findings
Background Although the prognosis of colorectal carcinoma (CRC) patients depends on the histologic grade (HG) and lymph node metastasis (LNM), accurate preoperative assessment of these prognostic factors is often difficult. Purpose To assess the HG and extent of LNM by q‐space imaging (QSI) for preo...
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Published in: | Journal of magnetic resonance imaging 2018-10, Vol.48 (4), p.1059-1068 |
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creator | Yamada, Ichiro Hikishima, Keigo Yoshino, Norio Sakamoto, Junichiro Miyasaka, Naoyuki Yamauchi, Shinichi Uetake, Hiroyuki Yasuno, Masamichi Saida, Yukihisa Tateishi, Ukihide Kobayashi, Daisuke Eishi, Yoshinobu |
description | Background
Although the prognosis of colorectal carcinoma (CRC) patients depends on the histologic grade (HG) and lymph node metastasis (LNM), accurate preoperative assessment of these prognostic factors is often difficult.
Purpose
To assess the HG and extent of LNM by q‐space imaging (QSI) for preoperative diagnosis of CRC.
Study Type
Prospective.
Specimen
A total of 20 colorectal tissue samples containing adenocarcinomas and resected lymph nodes (LNs).
Field Strength/Sequence
QSI was performed with a 3T MRI system using a diffusion‐weighted echo‐planar imaging sequence: repetition time, 10,000 msec; echo time, 216 or 210 msec; field of view, 113 × 73.45 mm; matrix, 120 × 78; section thickness, 4 mm; and 11 b values ranging from 0 to 9000 s/mm2.
Assessment
The mean displacement (MDP; μm), zero‐displacement probability (ZDP; arbitrary unit [a.u.]), kurtosis (K; a.u.), and apparent diffusion coefficient (ADC) were analyzed by two observers and compared with histopathologic findings.
Statistical Tests
Spearman's rank correlation coefficient, Mann–Whitney U‐test, and ROC curve analyses.
Results
For all 20 carcinomas, the MDP, ZDP, K, and ADC were 8.87 ± 0.37 μm, 82.0 ± 6.2 a.u., 74.3 ± 3.0 a.u., and 0.219 ± 0.040 × 10−3 mm2/s, respectively. The MDP (r = –0.768; P |
doi_str_mv | 10.1002/jmri.26018 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2020488697</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2020488697</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5038-21ab3dfd18d589bf7bcefa71f1e4381c45976fc289560585e9090ef72945953e3</originalsourceid><addsrcrecordid>eNp90c1O3DAUBWALteJ_wwMgS2wqpMC1Eyd2WaERFCoQEoK15XHsGU-TeLCToex4hD5jn6SGAAsWXdmyPh353oPQHoEjAkCPF21wR7QEwtfQJmGUZpTx8ku6A8szwqHaQFsxLgBAiIKtow0qkiaF2ES_Jr7xweheNViroF3nW_Udn_3GK7fy2KxUM6je-Q4P0XUz_PD3-U9cKm2wa9UsvZzgiQ_BNCN6dP0cz13s_VL18xQ9cxpb19VJxh301aommt23cxvdn5_dTS6yq5sfl5PTq0wzyHlGiZrmta0JrxkXU1tNtbGqIpaYIudEF0xUpdWUC1YC48wIEGBsRdNsguUm30bfxtxl8A-Dib1sXdSmaVRn_BAlBQoF56WoEj34RBd-CF36naSElKWgDCCpw1Hp4GMMxsplSOOHJ0lAvlQgXyqQrxUkvP8WOUxbU3_Q950nQEbw6Brz9J8o-fP69nIM_QeSeZKo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2116692500</pqid></control><display><type>article</type><title>Colorectal carcinoma: Ex vivo evaluation using q‐space imaging; Correlation with histopathologic findings</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Yamada, Ichiro ; Hikishima, Keigo ; Yoshino, Norio ; Sakamoto, Junichiro ; Miyasaka, Naoyuki ; Yamauchi, Shinichi ; Uetake, Hiroyuki ; Yasuno, Masamichi ; Saida, Yukihisa ; Tateishi, Ukihide ; Kobayashi, Daisuke ; Eishi, Yoshinobu</creator><creatorcontrib>Yamada, Ichiro ; Hikishima, Keigo ; Yoshino, Norio ; Sakamoto, Junichiro ; Miyasaka, Naoyuki ; Yamauchi, Shinichi ; Uetake, Hiroyuki ; Yasuno, Masamichi ; Saida, Yukihisa ; Tateishi, Ukihide ; Kobayashi, Daisuke ; Eishi, Yoshinobu</creatorcontrib><description>Background
Although the prognosis of colorectal carcinoma (CRC) patients depends on the histologic grade (HG) and lymph node metastasis (LNM), accurate preoperative assessment of these prognostic factors is often difficult.
Purpose
To assess the HG and extent of LNM by q‐space imaging (QSI) for preoperative diagnosis of CRC.
Study Type
Prospective.
Specimen
A total of 20 colorectal tissue samples containing adenocarcinomas and resected lymph nodes (LNs).
Field Strength/Sequence
QSI was performed with a 3T MRI system using a diffusion‐weighted echo‐planar imaging sequence: repetition time, 10,000 msec; echo time, 216 or 210 msec; field of view, 113 × 73.45 mm; matrix, 120 × 78; section thickness, 4 mm; and 11 b values ranging from 0 to 9000 s/mm2.
Assessment
The mean displacement (MDP; μm), zero‐displacement probability (ZDP; arbitrary unit [a.u.]), kurtosis (K; a.u.), and apparent diffusion coefficient (ADC) were analyzed by two observers and compared with histopathologic findings.
Statistical Tests
Spearman's rank correlation coefficient, Mann–Whitney U‐test, and ROC curve analyses.
Results
For all 20 carcinomas, the MDP, ZDP, K, and ADC were 8.87 ± 0.37 μm, 82.0 ± 6.2 a.u., 74.3 ± 3.0 a.u., and 0.219 ± 0.040 × 10−3 mm2/s, respectively. The MDP (r = –0.768; P < 0.001), ZDP (r = 0.768; P < 0.001), and K (r = 0.785; P < 0.001) were significantly correlated with the HG of CRC, but not the ADC (r = 0.088; P = 0.712). There were also significant differences in the MDP, ZDP, and K between metastatic and nonmetastatic LNs (all, P < 0.001), but not the ADC (P = 0.082). In the HG of CRC and LNM, the area under the curve was significantly greater for MDP, ZDP, and K than for ADC.
Data Conclusion
QSI provides useful diagnostic information to assess the HG and extent of LNM in CRC.
Level of Evidence: 1
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2018;48:1059–1068.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.26018</identifier><identifier>PMID: 29601149</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>colon ; Colorectal cancer ; Colorectal carcinoma ; Correlation coefficient ; Correlation coefficients ; Diagnostic systems ; Diffusion coefficient ; diffusion‐weighted imaging ; Field of view ; Field strength ; Kurtosis ; Lymph nodes ; Magnetic resonance imaging ; Medical imaging ; Medical prognosis ; Metastases ; MR imaging ; q‐space imaging ; rectum ; Statistical analysis ; Statistical methods ; Statistical tests</subject><ispartof>Journal of magnetic resonance imaging, 2018-10, Vol.48 (4), p.1059-1068</ispartof><rights>2018 International Society for Magnetic Resonance in Medicine</rights><rights>2018 International Society for Magnetic Resonance in Medicine.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5038-21ab3dfd18d589bf7bcefa71f1e4381c45976fc289560585e9090ef72945953e3</citedby><cites>FETCH-LOGICAL-c5038-21ab3dfd18d589bf7bcefa71f1e4381c45976fc289560585e9090ef72945953e3</cites><orcidid>0000-0003-0224-0836 ; 0000-0003-2496-136X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29601149$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yamada, Ichiro</creatorcontrib><creatorcontrib>Hikishima, Keigo</creatorcontrib><creatorcontrib>Yoshino, Norio</creatorcontrib><creatorcontrib>Sakamoto, Junichiro</creatorcontrib><creatorcontrib>Miyasaka, Naoyuki</creatorcontrib><creatorcontrib>Yamauchi, Shinichi</creatorcontrib><creatorcontrib>Uetake, Hiroyuki</creatorcontrib><creatorcontrib>Yasuno, Masamichi</creatorcontrib><creatorcontrib>Saida, Yukihisa</creatorcontrib><creatorcontrib>Tateishi, Ukihide</creatorcontrib><creatorcontrib>Kobayashi, Daisuke</creatorcontrib><creatorcontrib>Eishi, Yoshinobu</creatorcontrib><title>Colorectal carcinoma: Ex vivo evaluation using q‐space imaging; Correlation with histopathologic findings</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>Background
Although the prognosis of colorectal carcinoma (CRC) patients depends on the histologic grade (HG) and lymph node metastasis (LNM), accurate preoperative assessment of these prognostic factors is often difficult.
Purpose
To assess the HG and extent of LNM by q‐space imaging (QSI) for preoperative diagnosis of CRC.
Study Type
Prospective.
Specimen
A total of 20 colorectal tissue samples containing adenocarcinomas and resected lymph nodes (LNs).
Field Strength/Sequence
QSI was performed with a 3T MRI system using a diffusion‐weighted echo‐planar imaging sequence: repetition time, 10,000 msec; echo time, 216 or 210 msec; field of view, 113 × 73.45 mm; matrix, 120 × 78; section thickness, 4 mm; and 11 b values ranging from 0 to 9000 s/mm2.
Assessment
The mean displacement (MDP; μm), zero‐displacement probability (ZDP; arbitrary unit [a.u.]), kurtosis (K; a.u.), and apparent diffusion coefficient (ADC) were analyzed by two observers and compared with histopathologic findings.
Statistical Tests
Spearman's rank correlation coefficient, Mann–Whitney U‐test, and ROC curve analyses.
Results
For all 20 carcinomas, the MDP, ZDP, K, and ADC were 8.87 ± 0.37 μm, 82.0 ± 6.2 a.u., 74.3 ± 3.0 a.u., and 0.219 ± 0.040 × 10−3 mm2/s, respectively. The MDP (r = –0.768; P < 0.001), ZDP (r = 0.768; P < 0.001), and K (r = 0.785; P < 0.001) were significantly correlated with the HG of CRC, but not the ADC (r = 0.088; P = 0.712). There were also significant differences in the MDP, ZDP, and K between metastatic and nonmetastatic LNs (all, P < 0.001), but not the ADC (P = 0.082). In the HG of CRC and LNM, the area under the curve was significantly greater for MDP, ZDP, and K than for ADC.
Data Conclusion
QSI provides useful diagnostic information to assess the HG and extent of LNM in CRC.
Level of Evidence: 1
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2018;48:1059–1068.</description><subject>colon</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Diagnostic systems</subject><subject>Diffusion coefficient</subject><subject>diffusion‐weighted imaging</subject><subject>Field of view</subject><subject>Field strength</subject><subject>Kurtosis</subject><subject>Lymph nodes</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Metastases</subject><subject>MR imaging</subject><subject>q‐space imaging</subject><subject>rectum</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistical tests</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp90c1O3DAUBWALteJ_wwMgS2wqpMC1Eyd2WaERFCoQEoK15XHsGU-TeLCToex4hD5jn6SGAAsWXdmyPh353oPQHoEjAkCPF21wR7QEwtfQJmGUZpTx8ku6A8szwqHaQFsxLgBAiIKtow0qkiaF2ES_Jr7xweheNViroF3nW_Udn_3GK7fy2KxUM6je-Q4P0XUz_PD3-U9cKm2wa9UsvZzgiQ_BNCN6dP0cz13s_VL18xQ9cxpb19VJxh301aommt23cxvdn5_dTS6yq5sfl5PTq0wzyHlGiZrmta0JrxkXU1tNtbGqIpaYIudEF0xUpdWUC1YC48wIEGBsRdNsguUm30bfxtxl8A-Dib1sXdSmaVRn_BAlBQoF56WoEj34RBd-CF36naSElKWgDCCpw1Hp4GMMxsplSOOHJ0lAvlQgXyqQrxUkvP8WOUxbU3_Q950nQEbw6Brz9J8o-fP69nIM_QeSeZKo</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Yamada, Ichiro</creator><creator>Hikishima, Keigo</creator><creator>Yoshino, Norio</creator><creator>Sakamoto, Junichiro</creator><creator>Miyasaka, Naoyuki</creator><creator>Yamauchi, Shinichi</creator><creator>Uetake, Hiroyuki</creator><creator>Yasuno, Masamichi</creator><creator>Saida, Yukihisa</creator><creator>Tateishi, Ukihide</creator><creator>Kobayashi, Daisuke</creator><creator>Eishi, Yoshinobu</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0224-0836</orcidid><orcidid>https://orcid.org/0000-0003-2496-136X</orcidid></search><sort><creationdate>201810</creationdate><title>Colorectal carcinoma: Ex vivo evaluation using q‐space imaging; Correlation with histopathologic findings</title><author>Yamada, Ichiro ; Hikishima, Keigo ; Yoshino, Norio ; Sakamoto, Junichiro ; Miyasaka, Naoyuki ; Yamauchi, Shinichi ; Uetake, Hiroyuki ; Yasuno, Masamichi ; Saida, Yukihisa ; Tateishi, Ukihide ; Kobayashi, Daisuke ; Eishi, Yoshinobu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5038-21ab3dfd18d589bf7bcefa71f1e4381c45976fc289560585e9090ef72945953e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>colon</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Diagnostic systems</topic><topic>Diffusion coefficient</topic><topic>diffusion‐weighted imaging</topic><topic>Field of view</topic><topic>Field strength</topic><topic>Kurtosis</topic><topic>Lymph nodes</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Metastases</topic><topic>MR imaging</topic><topic>q‐space imaging</topic><topic>rectum</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistical tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yamada, Ichiro</creatorcontrib><creatorcontrib>Hikishima, Keigo</creatorcontrib><creatorcontrib>Yoshino, Norio</creatorcontrib><creatorcontrib>Sakamoto, Junichiro</creatorcontrib><creatorcontrib>Miyasaka, Naoyuki</creatorcontrib><creatorcontrib>Yamauchi, Shinichi</creatorcontrib><creatorcontrib>Uetake, Hiroyuki</creatorcontrib><creatorcontrib>Yasuno, Masamichi</creatorcontrib><creatorcontrib>Saida, Yukihisa</creatorcontrib><creatorcontrib>Tateishi, Ukihide</creatorcontrib><creatorcontrib>Kobayashi, Daisuke</creatorcontrib><creatorcontrib>Eishi, Yoshinobu</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yamada, Ichiro</au><au>Hikishima, Keigo</au><au>Yoshino, Norio</au><au>Sakamoto, Junichiro</au><au>Miyasaka, Naoyuki</au><au>Yamauchi, Shinichi</au><au>Uetake, Hiroyuki</au><au>Yasuno, Masamichi</au><au>Saida, Yukihisa</au><au>Tateishi, Ukihide</au><au>Kobayashi, Daisuke</au><au>Eishi, Yoshinobu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Colorectal carcinoma: Ex vivo evaluation using q‐space imaging; Correlation with histopathologic findings</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2018-10</date><risdate>2018</risdate><volume>48</volume><issue>4</issue><spage>1059</spage><epage>1068</epage><pages>1059-1068</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Background
Although the prognosis of colorectal carcinoma (CRC) patients depends on the histologic grade (HG) and lymph node metastasis (LNM), accurate preoperative assessment of these prognostic factors is often difficult.
Purpose
To assess the HG and extent of LNM by q‐space imaging (QSI) for preoperative diagnosis of CRC.
Study Type
Prospective.
Specimen
A total of 20 colorectal tissue samples containing adenocarcinomas and resected lymph nodes (LNs).
Field Strength/Sequence
QSI was performed with a 3T MRI system using a diffusion‐weighted echo‐planar imaging sequence: repetition time, 10,000 msec; echo time, 216 or 210 msec; field of view, 113 × 73.45 mm; matrix, 120 × 78; section thickness, 4 mm; and 11 b values ranging from 0 to 9000 s/mm2.
Assessment
The mean displacement (MDP; μm), zero‐displacement probability (ZDP; arbitrary unit [a.u.]), kurtosis (K; a.u.), and apparent diffusion coefficient (ADC) were analyzed by two observers and compared with histopathologic findings.
Statistical Tests
Spearman's rank correlation coefficient, Mann–Whitney U‐test, and ROC curve analyses.
Results
For all 20 carcinomas, the MDP, ZDP, K, and ADC were 8.87 ± 0.37 μm, 82.0 ± 6.2 a.u., 74.3 ± 3.0 a.u., and 0.219 ± 0.040 × 10−3 mm2/s, respectively. The MDP (r = –0.768; P < 0.001), ZDP (r = 0.768; P < 0.001), and K (r = 0.785; P < 0.001) were significantly correlated with the HG of CRC, but not the ADC (r = 0.088; P = 0.712). There were also significant differences in the MDP, ZDP, and K between metastatic and nonmetastatic LNs (all, P < 0.001), but not the ADC (P = 0.082). In the HG of CRC and LNM, the area under the curve was significantly greater for MDP, ZDP, and K than for ADC.
Data Conclusion
QSI provides useful diagnostic information to assess the HG and extent of LNM in CRC.
Level of Evidence: 1
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2018;48:1059–1068.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>29601149</pmid><doi>10.1002/jmri.26018</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-0224-0836</orcidid><orcidid>https://orcid.org/0000-0003-2496-136X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | colon Colorectal cancer Colorectal carcinoma Correlation coefficient Correlation coefficients Diagnostic systems Diffusion coefficient diffusion‐weighted imaging Field of view Field strength Kurtosis Lymph nodes Magnetic resonance imaging Medical imaging Medical prognosis Metastases MR imaging q‐space imaging rectum Statistical analysis Statistical methods Statistical tests |
title | Colorectal carcinoma: Ex vivo evaluation using q‐space imaging; Correlation with histopathologic findings |
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