Standardization of the apparent diffusion coefficient value of bladder cancer across different centers: Applicability in predicting aggressive pathologic phenotypes
Abstract Purpose We investigated whether the standardized apparent diffusion coefficient (ADC) value reflects bladder cancer characteristics across different centers. Methods Ninety-eight bladder cancer patients underwent MRI at two institutions. Standardized tumor ADC (sT-ADC) was calculated by div...
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| Veröffentlicht in: | Clinical imaging 2017-07, Vol.44, p.121-126 |
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| creator | Nishizawa, Toshinori Yoshida, Soichiro Koga, Fumitaka Tanaka, Hiroshi Kaga, Mihiro Watanabe, Kotaro Fukushima, Hiroshi Nakanishi, Yasukazu Yokoyama, Minato Ishioka, Junichiro Matsuoka, Yoh Saito, Kazutaka Fujii, Yasuhisa Kihara, Kazunori |
| description | Abstract Purpose We investigated whether the standardized apparent diffusion coefficient (ADC) value reflects bladder cancer characteristics across different centers. Methods Ninety-eight bladder cancer patients underwent MRI at two institutions. Standardized tumor ADC (sT-ADC) was calculated by dividing absolute tumor ADC (aT-ADC) by that of gluteus maximus. We compared ADCs between MRI protocols according to grade and T-stage. Results The differences in aT-ADC between MRI protocols were negated by sT-ADC. The best sT-ADC cut-offs to predict cancer aggressiveness in the development cohort worked in the validation cohort compared to the development cohort. Conclusion Standardized ADC overcomes the incompatibility between different MRI protocols. |
| doi_str_mv | 10.1016/j.clinimag.2017.05.004 |
| format | Article |
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Methods Ninety-eight bladder cancer patients underwent MRI at two institutions. Standardized tumor ADC (sT-ADC) was calculated by dividing absolute tumor ADC (aT-ADC) by that of gluteus maximus. We compared ADCs between MRI protocols according to grade and T-stage. Results The differences in aT-ADC between MRI protocols were negated by sT-ADC. The best sT-ADC cut-offs to predict cancer aggressiveness in the development cohort worked in the validation cohort compared to the development cohort. Conclusion Standardized ADC overcomes the incompatibility between different MRI protocols.</description><identifier>ISSN: 0899-7071</identifier><identifier>EISSN: 1873-4499</identifier><identifier>DOI: 10.1016/j.clinimag.2017.05.004</identifier><identifier>PMID: 28505504</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biological markers ; Biomarkers ; Bladder ; Bladder cancer ; Cancer ; Cancer therapies ; Carcinoma, transitional cells ; Chemotherapy ; Cohort Studies ; Diffusion coefficient ; Diffusion magnetic resonance imaging ; Diffusion Magnetic Resonance Imaging - methods ; Female ; Genotype & phenotype ; Health risk assessment ; Humans ; Incompatibility ; Institutions ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Mathematical analysis ; Metastasis ; Middle Aged ; NMR ; Nuclear magnetic resonance ; Patients ; Phenotype ; Radiology ; Reference Standards ; Standardization ; Tumors ; Urinary bladder ; Urinary Bladder - diagnostic imaging ; Urinary Bladder - pathology ; Urinary bladder neoplasms ; Urinary Bladder Neoplasms - diagnostic imaging ; Urinary Bladder Neoplasms - pathology ; Urogenital system</subject><ispartof>Clinical imaging, 2017-07, Vol.44, p.121-126</ispartof><rights>Elsevier Inc.</rights><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c517t-7f335d75280853e1c84daec1642a42c9b01388bec3cb99dce734f4493edfa0073</citedby><cites>FETCH-LOGICAL-c517t-7f335d75280853e1c84daec1642a42c9b01388bec3cb99dce734f4493edfa0073</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0899707117300839$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28505504$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nishizawa, Toshinori</creatorcontrib><creatorcontrib>Yoshida, Soichiro</creatorcontrib><creatorcontrib>Koga, Fumitaka</creatorcontrib><creatorcontrib>Tanaka, Hiroshi</creatorcontrib><creatorcontrib>Kaga, Mihiro</creatorcontrib><creatorcontrib>Watanabe, Kotaro</creatorcontrib><creatorcontrib>Fukushima, Hiroshi</creatorcontrib><creatorcontrib>Nakanishi, Yasukazu</creatorcontrib><creatorcontrib>Yokoyama, Minato</creatorcontrib><creatorcontrib>Ishioka, Junichiro</creatorcontrib><creatorcontrib>Matsuoka, Yoh</creatorcontrib><creatorcontrib>Saito, Kazutaka</creatorcontrib><creatorcontrib>Fujii, Yasuhisa</creatorcontrib><creatorcontrib>Kihara, Kazunori</creatorcontrib><title>Standardization of the apparent diffusion coefficient value of bladder cancer across different centers: Applicability in predicting aggressive pathologic phenotypes</title><title>Clinical imaging</title><addtitle>Clin Imaging</addtitle><description>Abstract Purpose We investigated whether the standardized apparent diffusion coefficient (ADC) value reflects bladder cancer characteristics across different centers. Methods Ninety-eight bladder cancer patients underwent MRI at two institutions. Standardized tumor ADC (sT-ADC) was calculated by dividing absolute tumor ADC (aT-ADC) by that of gluteus maximus. We compared ADCs between MRI protocols according to grade and T-stage. Results The differences in aT-ADC between MRI protocols were negated by sT-ADC. The best sT-ADC cut-offs to predict cancer aggressiveness in the development cohort worked in the validation cohort compared to the development cohort. Conclusion Standardized ADC overcomes the incompatibility between different MRI protocols.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Bladder</subject><subject>Bladder cancer</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Carcinoma, transitional cells</subject><subject>Chemotherapy</subject><subject>Cohort Studies</subject><subject>Diffusion coefficient</subject><subject>Diffusion magnetic resonance imaging</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Female</subject><subject>Genotype & phenotype</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Incompatibility</subject><subject>Institutions</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Patients</subject><subject>Phenotype</subject><subject>Radiology</subject><subject>Reference Standards</subject><subject>Standardization</subject><subject>Tumors</subject><subject>Urinary bladder</subject><subject>Urinary Bladder - diagnostic imaging</subject><subject>Urinary Bladder - pathology</subject><subject>Urinary bladder neoplasms</subject><subject>Urinary Bladder Neoplasms - diagnostic imaging</subject><subject>Urinary Bladder Neoplasms - pathology</subject><subject>Urogenital system</subject><issn>0899-7071</issn><issn>1873-4499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFks9u1DAQxiMEoqXwCpUlLlx2GcfJ2uGAqCr-SZU4FM6WM57sesnGwXZW2j4PD4qz24LUCxePZP--sf19UxSXHJYc-Ortdom9G9zOrJclcLmEeglQPSnOuZJiUVVN87Q4B9U0CwmSnxUvYtxCFjaVfF6claqGuobqvPh9m8xgTbDuziTnB-Y7ljbEzDiaQENi1nXdFOcT9NR1Dt28uzf9RDPb9sZaCgzNgLkYDD7Go4iOcswLhfiOXY1j79C0rnfpwNzAxkDWYXLDmpn1OlCMbk9sNGnje792yMYNDT4dRoovi2ed6SO9uq8XxY9PH79ff1ncfPv89frqZoE1l2khOyFqK-tSgaoFcVSVNYR8VZWmKrFpgQulWkKBbdNYJCmqLlslyHYGQIqL4s2p7xj8r4li0jsXkfreDOSnqHn2swKhRJ3R14_QrZ_CkF-neZNbcSHUKlOrE3W0JVCnx5AzCwfNQc856q1-yFHPOWqodc4xCy_v20_tjuxf2UNwGfhwAij7sXcUdJyTwexpIEzaevf_O94_anHE0PQ_6UDx3390LDXo23ma5mHiUgAo0Yg_VMXLIA</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Nishizawa, Toshinori</creator><creator>Yoshida, Soichiro</creator><creator>Koga, Fumitaka</creator><creator>Tanaka, Hiroshi</creator><creator>Kaga, Mihiro</creator><creator>Watanabe, Kotaro</creator><creator>Fukushima, Hiroshi</creator><creator>Nakanishi, Yasukazu</creator><creator>Yokoyama, Minato</creator><creator>Ishioka, Junichiro</creator><creator>Matsuoka, Yoh</creator><creator>Saito, Kazutaka</creator><creator>Fujii, Yasuhisa</creator><creator>Kihara, Kazunori</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20170701</creationdate><title>Standardization of the apparent diffusion coefficient value of bladder cancer across different centers: Applicability in predicting aggressive pathologic phenotypes</title><author>Nishizawa, Toshinori ; Yoshida, Soichiro ; Koga, Fumitaka ; Tanaka, Hiroshi ; Kaga, Mihiro ; Watanabe, Kotaro ; Fukushima, Hiroshi ; Nakanishi, Yasukazu ; Yokoyama, Minato ; Ishioka, Junichiro ; Matsuoka, Yoh ; Saito, Kazutaka ; Fujii, Yasuhisa ; Kihara, Kazunori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-7f335d75280853e1c84daec1642a42c9b01388bec3cb99dce734f4493edfa0073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Bladder</topic><topic>Bladder cancer</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Carcinoma, transitional cells</topic><topic>Chemotherapy</topic><topic>Cohort Studies</topic><topic>Diffusion coefficient</topic><topic>Diffusion magnetic resonance imaging</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Female</topic><topic>Genotype & phenotype</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Incompatibility</topic><topic>Institutions</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Patients</topic><topic>Phenotype</topic><topic>Radiology</topic><topic>Reference Standards</topic><topic>Standardization</topic><topic>Tumors</topic><topic>Urinary bladder</topic><topic>Urinary Bladder - diagnostic imaging</topic><topic>Urinary Bladder - pathology</topic><topic>Urinary bladder neoplasms</topic><topic>Urinary Bladder Neoplasms - diagnostic imaging</topic><topic>Urinary Bladder Neoplasms - pathology</topic><topic>Urogenital system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nishizawa, Toshinori</creatorcontrib><creatorcontrib>Yoshida, Soichiro</creatorcontrib><creatorcontrib>Koga, Fumitaka</creatorcontrib><creatorcontrib>Tanaka, Hiroshi</creatorcontrib><creatorcontrib>Kaga, Mihiro</creatorcontrib><creatorcontrib>Watanabe, Kotaro</creatorcontrib><creatorcontrib>Fukushima, Hiroshi</creatorcontrib><creatorcontrib>Nakanishi, Yasukazu</creatorcontrib><creatorcontrib>Yokoyama, Minato</creatorcontrib><creatorcontrib>Ishioka, Junichiro</creatorcontrib><creatorcontrib>Matsuoka, Yoh</creatorcontrib><creatorcontrib>Saito, Kazutaka</creatorcontrib><creatorcontrib>Fujii, Yasuhisa</creatorcontrib><creatorcontrib>Kihara, Kazunori</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nishizawa, Toshinori</au><au>Yoshida, Soichiro</au><au>Koga, Fumitaka</au><au>Tanaka, Hiroshi</au><au>Kaga, Mihiro</au><au>Watanabe, Kotaro</au><au>Fukushima, Hiroshi</au><au>Nakanishi, Yasukazu</au><au>Yokoyama, Minato</au><au>Ishioka, Junichiro</au><au>Matsuoka, Yoh</au><au>Saito, Kazutaka</au><au>Fujii, Yasuhisa</au><au>Kihara, Kazunori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Standardization of the apparent diffusion coefficient value of bladder cancer across different centers: Applicability in predicting aggressive pathologic phenotypes</atitle><jtitle>Clinical imaging</jtitle><addtitle>Clin Imaging</addtitle><date>2017-07-01</date><risdate>2017</risdate><volume>44</volume><spage>121</spage><epage>126</epage><pages>121-126</pages><issn>0899-7071</issn><eissn>1873-4499</eissn><abstract>Abstract Purpose We investigated whether the standardized apparent diffusion coefficient (ADC) value reflects bladder cancer characteristics across different centers. Methods Ninety-eight bladder cancer patients underwent MRI at two institutions. Standardized tumor ADC (sT-ADC) was calculated by dividing absolute tumor ADC (aT-ADC) by that of gluteus maximus. We compared ADCs between MRI protocols according to grade and T-stage. Results The differences in aT-ADC between MRI protocols were negated by sT-ADC. The best sT-ADC cut-offs to predict cancer aggressiveness in the development cohort worked in the validation cohort compared to the development cohort. Conclusion Standardized ADC overcomes the incompatibility between different MRI protocols.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28505504</pmid><doi>10.1016/j.clinimag.2017.05.004</doi><tpages>6</tpages></addata></record> |
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| subjects | Adult Aged Aged, 80 and over Biological markers Biomarkers Bladder Bladder cancer Cancer Cancer therapies Carcinoma, transitional cells Chemotherapy Cohort Studies Diffusion coefficient Diffusion magnetic resonance imaging Diffusion Magnetic Resonance Imaging - methods Female Genotype & phenotype Health risk assessment Humans Incompatibility Institutions Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Mathematical analysis Metastasis Middle Aged NMR Nuclear magnetic resonance Patients Phenotype Radiology Reference Standards Standardization Tumors Urinary bladder Urinary Bladder - diagnostic imaging Urinary Bladder - pathology Urinary bladder neoplasms Urinary Bladder Neoplasms - diagnostic imaging Urinary Bladder Neoplasms - pathology Urogenital system |
| title | Standardization of the apparent diffusion coefficient value of bladder cancer across different centers: Applicability in predicting aggressive pathologic phenotypes |
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