3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer
Purpose The purpose of this study was to determine the diagnostic performance of intravoxel incoherent motion (IVIM) on assessing response to neoadjuvant chemoradiation (nCRT) in patients with Locally Advanced Rectal Cancer (LARC). Methods 50 patients with rectal cancer who underwent magnetic resona...
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| Veröffentlicht in: | Abdominal imaging 2021-01, Vol.46 (1), p.134-143 |
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| creator | Hu, Hongbo Jiang, Huijie Wang, Song Jiang, Hao Zhao, Sheng Pan, Wenbin |
| description | Purpose
The purpose of this study was to determine the diagnostic performance of intravoxel incoherent motion (IVIM) on assessing response to neoadjuvant chemoradiation (nCRT) in patients with Locally Advanced Rectal Cancer (LARC).
Methods
50 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after nCRT, the values of pre-nCRT and post-nCRT IVIM-DWI parameters apparent diffusion coefficient (ADC), diffusion coefficient (
D
), false diffusion coefficient (
D
*), and perfusion fraction (
f
), together with the percentage changes (∆% parametric value) induced by nCRT were calculated. According to the patient's response to nCRT, the patients were divided into pathological complete response (pCR) and non-pCR groups, Good Response (GR) group and Poor Response (PR) group, and the above values were compared between different groups. Univariate and multiple logistic regression analysis were done to investigate the relation between different parameters and patient nCRT. Draw ROC curve according to sensitivity and specificity, and compare its diagnostic efficacy.
Results
There were no significant differences in the baseline data of 50 patients. After nCRT, the ADC and D values for LARC increased significantly (all
p
|
| doi_str_mv | 10.1007/s00261-020-02594-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7864832</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2407584109</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-e143acb299363f1b4f4afe76d7b073d8b219422ffdec14f03eb99555a4bfa4c03</originalsourceid><addsrcrecordid>eNp9kc1u1DAUhS0EolXpC7BAltiwSbn-iZNskFDLT6RWSFVp2VmOcz3jUSYe7KTSvA3PwpPhdsoAXbCwbOt-91wfH0JeMjhhANXbBMAVK4BDXmUjC_mEHHKhVAFQ1k_3Z_ntgByntAIApkrGePmcHAguFRe1OiQbcQI_f1zRi8uWttftRXF201IXIt1E7L2d_Lig0xIpOuetsVsaHB0xmH4135pxonaJ6xBN783kw3jfOQRrhmFLTZ8Jiz2NaCczUHt3iy_IM2eGhMcP-xH5-vHD1enn4vzLp_b0_XlhZSWnApkUxna8aYQSjnXSSeOwUn3VQSX6uuOskZw716Nl0oHArmnKsjSyc0ZaEEfk3U53M3dr7C2OUzSD3kS_NnGrg_H638rol3oRbnVVK1kLngXePAjE8H3GNOm1TxaHwWT_c9JcQlXWkkGT0deP0FWY45jtZapW-atVozLFd5SNIaWIbv8YBvouU73LVOdM9X2mWuamV3_b2Lf8TjADYgekXBoXGP_M_o_sL7EOrX0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2486623696</pqid></control><display><type>article</type><title>3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer</title><source>springer (창간호~2014)</source><creator>Hu, Hongbo ; Jiang, Huijie ; Wang, Song ; Jiang, Hao ; Zhao, Sheng ; Pan, Wenbin</creator><creatorcontrib>Hu, Hongbo ; Jiang, Huijie ; Wang, Song ; Jiang, Hao ; Zhao, Sheng ; Pan, Wenbin</creatorcontrib><description>Purpose
The purpose of this study was to determine the diagnostic performance of intravoxel incoherent motion (IVIM) on assessing response to neoadjuvant chemoradiation (nCRT) in patients with Locally Advanced Rectal Cancer (LARC).
Methods
50 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after nCRT, the values of pre-nCRT and post-nCRT IVIM-DWI parameters apparent diffusion coefficient (ADC), diffusion coefficient (
D
), false diffusion coefficient (
D
*), and perfusion fraction (
f
), together with the percentage changes (∆% parametric value) induced by nCRT were calculated. According to the patient's response to nCRT, the patients were divided into pathological complete response (pCR) and non-pCR groups, Good Response (GR) group and Poor Response (PR) group, and the above values were compared between different groups. Univariate and multiple logistic regression analysis were done to investigate the relation between different parameters and patient nCRT. Draw ROC curve according to sensitivity and specificity, and compare its diagnostic efficacy.
Results
There were no significant differences in the baseline data of 50 patients. After nCRT, the ADC and D values for LARC increased significantly (all
p
< 0.05). The pCR group (
n
= 9) had higher preD*, pre
f
, postD*, ∆%ADC and ∆%
D
values than the non-pCR group (
n
= 41) (all
p
< 0.05). The GR group (
n
= 17) exhibited higher post D, ∆%ADC and ∆%
D
values than the PR group (
n
= 33) (all
p
< 0.05). From the results of Logistic regression analysis found that ∆%ADC and ∆%
D
were significantly correlated with patients' response to nCRT. Based on ROC analysis, ∆%
D
had a higher area under the curve value than ∆%ADC (
p
= 0.009) in discriminating the pCR from non-pCR groups.
Conclusions
IVIM-DWI technology may be helpful in identifying the pCR and GR patients to nCRT for LARC.</description><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-020-02594-4</identifier><identifier>PMID: 32462386</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Cancer ; Chemoradiotherapy ; Colorectal cancer ; Diagnostic systems ; Diffusion ; Diffusion coefficient ; False diffusion ; Gastroenterology ; Hepatology ; Hollow Organ GI ; Imaging ; Magnetic resonance imaging ; Mathematical analysis ; Medicine ; Medicine & Public Health ; Parameter sensitivity ; Patients ; Perfusion ; Radiology ; Rectum ; Regression analysis</subject><ispartof>Abdominal imaging, 2021-01, Vol.46 (1), p.134-143</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-e143acb299363f1b4f4afe76d7b073d8b219422ffdec14f03eb99555a4bfa4c03</citedby><cites>FETCH-LOGICAL-c474t-e143acb299363f1b4f4afe76d7b073d8b219422ffdec14f03eb99555a4bfa4c03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00261-020-02594-4$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-020-02594-4$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32462386$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Hongbo</creatorcontrib><creatorcontrib>Jiang, Huijie</creatorcontrib><creatorcontrib>Wang, Song</creatorcontrib><creatorcontrib>Jiang, Hao</creatorcontrib><creatorcontrib>Zhao, Sheng</creatorcontrib><creatorcontrib>Pan, Wenbin</creatorcontrib><title>3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
The purpose of this study was to determine the diagnostic performance of intravoxel incoherent motion (IVIM) on assessing response to neoadjuvant chemoradiation (nCRT) in patients with Locally Advanced Rectal Cancer (LARC).
Methods
50 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after nCRT, the values of pre-nCRT and post-nCRT IVIM-DWI parameters apparent diffusion coefficient (ADC), diffusion coefficient (
D
), false diffusion coefficient (
D
*), and perfusion fraction (
f
), together with the percentage changes (∆% parametric value) induced by nCRT were calculated. According to the patient's response to nCRT, the patients were divided into pathological complete response (pCR) and non-pCR groups, Good Response (GR) group and Poor Response (PR) group, and the above values were compared between different groups. Univariate and multiple logistic regression analysis were done to investigate the relation between different parameters and patient nCRT. Draw ROC curve according to sensitivity and specificity, and compare its diagnostic efficacy.
Results
There were no significant differences in the baseline data of 50 patients. After nCRT, the ADC and D values for LARC increased significantly (all
p
< 0.05). The pCR group (
n
= 9) had higher preD*, pre
f
, postD*, ∆%ADC and ∆%
D
values than the non-pCR group (
n
= 41) (all
p
< 0.05). The GR group (
n
= 17) exhibited higher post D, ∆%ADC and ∆%
D
values than the PR group (
n
= 33) (all
p
< 0.05). From the results of Logistic regression analysis found that ∆%ADC and ∆%
D
were significantly correlated with patients' response to nCRT. Based on ROC analysis, ∆%
D
had a higher area under the curve value than ∆%ADC (
p
= 0.009) in discriminating the pCR from non-pCR groups.
Conclusions
IVIM-DWI technology may be helpful in identifying the pCR and GR patients to nCRT for LARC.</description><subject>Cancer</subject><subject>Chemoradiotherapy</subject><subject>Colorectal cancer</subject><subject>Diagnostic systems</subject><subject>Diffusion</subject><subject>Diffusion coefficient</subject><subject>False diffusion</subject><subject>Gastroenterology</subject><subject>Hepatology</subject><subject>Hollow Organ GI</subject><subject>Imaging</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical analysis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Parameter sensitivity</subject><subject>Patients</subject><subject>Perfusion</subject><subject>Radiology</subject><subject>Rectum</subject><subject>Regression analysis</subject><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc1u1DAUhS0EolXpC7BAltiwSbn-iZNskFDLT6RWSFVp2VmOcz3jUSYe7KTSvA3PwpPhdsoAXbCwbOt-91wfH0JeMjhhANXbBMAVK4BDXmUjC_mEHHKhVAFQ1k_3Z_ntgByntAIApkrGePmcHAguFRe1OiQbcQI_f1zRi8uWttftRXF201IXIt1E7L2d_Lig0xIpOuetsVsaHB0xmH4135pxonaJ6xBN783kw3jfOQRrhmFLTZ8Jiz2NaCczUHt3iy_IM2eGhMcP-xH5-vHD1enn4vzLp_b0_XlhZSWnApkUxna8aYQSjnXSSeOwUn3VQSX6uuOskZw716Nl0oHArmnKsjSyc0ZaEEfk3U53M3dr7C2OUzSD3kS_NnGrg_H638rol3oRbnVVK1kLngXePAjE8H3GNOm1TxaHwWT_c9JcQlXWkkGT0deP0FWY45jtZapW-atVozLFd5SNIaWIbv8YBvouU73LVOdM9X2mWuamV3_b2Lf8TjADYgekXBoXGP_M_o_sL7EOrX0</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Hu, Hongbo</creator><creator>Jiang, Huijie</creator><creator>Wang, Song</creator><creator>Jiang, Hao</creator><creator>Zhao, Sheng</creator><creator>Pan, Wenbin</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210101</creationdate><title>3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer</title><author>Hu, Hongbo ; Jiang, Huijie ; Wang, Song ; Jiang, Hao ; Zhao, Sheng ; Pan, Wenbin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-e143acb299363f1b4f4afe76d7b073d8b219422ffdec14f03eb99555a4bfa4c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cancer</topic><topic>Chemoradiotherapy</topic><topic>Colorectal cancer</topic><topic>Diagnostic systems</topic><topic>Diffusion</topic><topic>Diffusion coefficient</topic><topic>False diffusion</topic><topic>Gastroenterology</topic><topic>Hepatology</topic><topic>Hollow Organ GI</topic><topic>Imaging</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical analysis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Parameter sensitivity</topic><topic>Patients</topic><topic>Perfusion</topic><topic>Radiology</topic><topic>Rectum</topic><topic>Regression analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Hongbo</creatorcontrib><creatorcontrib>Jiang, Huijie</creatorcontrib><creatorcontrib>Wang, Song</creatorcontrib><creatorcontrib>Jiang, Hao</creatorcontrib><creatorcontrib>Zhao, Sheng</creatorcontrib><creatorcontrib>Pan, Wenbin</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science 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)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Hongbo</au><au>Jiang, Huijie</au><au>Wang, Song</au><au>Jiang, Hao</au><au>Zhao, Sheng</au><au>Pan, Wenbin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>46</volume><issue>1</issue><spage>134</spage><epage>143</epage><pages>134-143</pages><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
The purpose of this study was to determine the diagnostic performance of intravoxel incoherent motion (IVIM) on assessing response to neoadjuvant chemoradiation (nCRT) in patients with Locally Advanced Rectal Cancer (LARC).
Methods
50 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after nCRT, the values of pre-nCRT and post-nCRT IVIM-DWI parameters apparent diffusion coefficient (ADC), diffusion coefficient (
D
), false diffusion coefficient (
D
*), and perfusion fraction (
f
), together with the percentage changes (∆% parametric value) induced by nCRT were calculated. According to the patient's response to nCRT, the patients were divided into pathological complete response (pCR) and non-pCR groups, Good Response (GR) group and Poor Response (PR) group, and the above values were compared between different groups. Univariate and multiple logistic regression analysis were done to investigate the relation between different parameters and patient nCRT. Draw ROC curve according to sensitivity and specificity, and compare its diagnostic efficacy.
Results
There were no significant differences in the baseline data of 50 patients. After nCRT, the ADC and D values for LARC increased significantly (all
p
< 0.05). The pCR group (
n
= 9) had higher preD*, pre
f
, postD*, ∆%ADC and ∆%
D
values than the non-pCR group (
n
= 41) (all
p
< 0.05). The GR group (
n
= 17) exhibited higher post D, ∆%ADC and ∆%
D
values than the PR group (
n
= 33) (all
p
< 0.05). From the results of Logistic regression analysis found that ∆%ADC and ∆%
D
were significantly correlated with patients' response to nCRT. Based on ROC analysis, ∆%
D
had a higher area under the curve value than ∆%ADC (
p
= 0.009) in discriminating the pCR from non-pCR groups.
Conclusions
IVIM-DWI technology may be helpful in identifying the pCR and GR patients to nCRT for LARC.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32462386</pmid><doi>10.1007/s00261-020-02594-4</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2366-004X |
| ispartof | Abdominal imaging, 2021-01, Vol.46 (1), p.134-143 |
| issn | 2366-004X 2366-0058 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7864832 |
| source | springer (창간호~2014) |
| subjects | Cancer Chemoradiotherapy Colorectal cancer Diagnostic systems Diffusion Diffusion coefficient False diffusion Gastroenterology Hepatology Hollow Organ GI Imaging Magnetic resonance imaging Mathematical analysis Medicine Medicine & Public Health Parameter sensitivity Patients Perfusion Radiology Rectum Regression analysis |
| title | 3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer |
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