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Textural analysis of multiparametric MRI detects transition zone prostate cancer
Objectives To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters for detection of transition zone (TZ) prostatic tumour. Methods Sixty-seven consecutive men with suspected prostate cancer underwent 1.5T mpMRI prior to template-mapping-biopsy (TPM). Twenty-six men had...
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| Published in: | European radiology 2017-06, Vol.27 (6), p.2348-2358 |
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| container_title | European radiology |
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| creator | Sidhu, Harbir S. Benigno, Salvatore Ganeshan, Balaji Dikaios, Nikos Johnston, Edward W. Allen, Clare Kirkham, Alex Groves, Ashley M. Ahmed, Hashim U. Emberton, Mark Taylor, Stuart A. Halligan, Steve Punwani, Shonit |
| description | Objectives
To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters for detection of transition zone (TZ) prostatic tumour.
Methods
Sixty-seven consecutive men with suspected prostate cancer underwent 1.5T mpMRI prior to template-mapping-biopsy (TPM). Twenty-six men had ‘significant’ TZ tumour. Two radiologists in consensus matched TPM to the single axial slice best depicting tumour, or largest TZ diameter for those with benign histology, to define single-slice whole TZ-regions-of-interest (ROIs). Textural-parameter differences between single-slice whole TZ-ROI containing significant tumour versus benign/insignificant tumour were analysed using Mann Whitney U test. Diagnostic accuracy was assessed by receiver operating characteristic area under curve (ROC-AUC) analysis cross-validated with leave-one-out (LOO) analysis.
Results
ADC kurtosis was significantly lower (p |
| doi_str_mv | 10.1007/s00330-016-4579-9 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5408048</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4322042983</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-d93e8ca94aaa55bf0abffdc2e1ca1f2f57c2e721025ebff88d3f88b259832b6e3</originalsourceid><addsrcrecordid>eNp1UU1P3DAQtSpQWWh_QC_IEufQ8UfW9qUSQv1AAoEQPVsTZwJB2WRrO1WXX4_RUgQHLjMjvTdvPh5jXwQcCwDzNQEoBRWIZaVr4yr3gS2EVrISYPUOW4BTtjLO6T22n9I9ADihzUe2J81Sgl3qBbu6oX95jjhwHHHYpD7xqeOrecj9GiOuKMc-8IvrM95SppATzxHH1Od-GvnDNBJfxyllzMQDjoHiJ7bb4ZDo83M-YL9_fL85_VWdX_48Oz05r4I2kKvWKbIBnUbEum46wKbr2iBJBBSd7GpTaiMFyJoKYm2rSmhk7aySzZLUAfu21V3PzYraQGNZbPDr2K8wbvyEvX-LjP2dv53--lqDBW2LwNGzQJz-zJSyv5_mWJ6QvLBO1kYZrQtLbFmhnJkidS8TBPgnE_zWBF9M8E8meFd6Dl-v9tLx_-uFILeEVKDxluKr0e-qPgLg75VY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1892573744</pqid></control><display><type>article</type><title>Textural analysis of multiparametric MRI detects transition zone prostate cancer</title><source>Springer Nature</source><creator>Sidhu, Harbir S. ; Benigno, Salvatore ; Ganeshan, Balaji ; Dikaios, Nikos ; Johnston, Edward W. ; Allen, Clare ; Kirkham, Alex ; Groves, Ashley M. ; Ahmed, Hashim U. ; Emberton, Mark ; Taylor, Stuart A. ; Halligan, Steve ; Punwani, Shonit</creator><creatorcontrib>Sidhu, Harbir S. ; Benigno, Salvatore ; Ganeshan, Balaji ; Dikaios, Nikos ; Johnston, Edward W. ; Allen, Clare ; Kirkham, Alex ; Groves, Ashley M. ; Ahmed, Hashim U. ; Emberton, Mark ; Taylor, Stuart A. ; Halligan, Steve ; Punwani, Shonit</creatorcontrib><description>Objectives
To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters for detection of transition zone (TZ) prostatic tumour.
Methods
Sixty-seven consecutive men with suspected prostate cancer underwent 1.5T mpMRI prior to template-mapping-biopsy (TPM). Twenty-six men had ‘significant’ TZ tumour. Two radiologists in consensus matched TPM to the single axial slice best depicting tumour, or largest TZ diameter for those with benign histology, to define single-slice whole TZ-regions-of-interest (ROIs). Textural-parameter differences between single-slice whole TZ-ROI containing significant tumour versus benign/insignificant tumour were analysed using Mann Whitney U test. Diagnostic accuracy was assessed by receiver operating characteristic area under curve (ROC-AUC) analysis cross-validated with leave-one-out (LOO) analysis.
Results
ADC kurtosis was significantly lower (p < 0.001) in TZ containing significant tumour with ROC-AUC 0.80 (LOO-AUC 0.78); the difference became non-significant following exclusion of significant tumour from single-slice whole TZ-ROI (p = 0.23). T1-entropy was significantly lower (p = 0.004) in TZ containing significant tumour with ROC-AUC 0.70 (LOO-AUC 0.66) and was unaffected by excluding significant tumour from TZ-ROI (p = 0.004). Combining these parameters yielded ROC-AUC 0.86 (LOO-AUC 0.83).
Conclusion
Textural features of the whole prostate TZ can discriminate significant prostatic cancer through reduced kurtosis of the ADC-histogram where significant tumour is included in TZ-ROI and reduced T1 entropy independent of tumour inclusion.
Key Points
•
MR textural features of prostate transition zone may discriminate significant prostatic cancer.
•
Transition zone (TZ) containing significant tumour demonstrates a less peaked ADC histogram.
•
TZ containing significant tumour reveals higher post-contrast T1-weighted homogeneity.
•
The utility of MR texture analysis in prostate cancer merits further investigation.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-016-4579-9</identifier><identifier>PMID: 27620864</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Area Under Curve ; Biopsy ; Biopsy - methods ; Consensus ; Diagnostic Radiology ; Diffusion Magnetic Resonance Imaging ; Entropy ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Kurtosis ; Magnetic Resonance ; Magnetic resonance imaging ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Prostate - pathology ; Prostate cancer ; Prostatic Neoplasms - pathology ; Radiology ; Retrospective Studies ; ROC Curve ; Tumors ; Ultrasound ; University colleges</subject><ispartof>European radiology, 2017-06, Vol.27 (6), p.2348-2358</ispartof><rights>The Author(s) 2016</rights><rights>European Radiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-d93e8ca94aaa55bf0abffdc2e1ca1f2f57c2e721025ebff88d3f88b259832b6e3</citedby><cites>FETCH-LOGICAL-c470t-d93e8ca94aaa55bf0abffdc2e1ca1f2f57c2e721025ebff88d3f88b259832b6e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27915,27916</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27620864$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sidhu, Harbir S.</creatorcontrib><creatorcontrib>Benigno, Salvatore</creatorcontrib><creatorcontrib>Ganeshan, Balaji</creatorcontrib><creatorcontrib>Dikaios, Nikos</creatorcontrib><creatorcontrib>Johnston, Edward W.</creatorcontrib><creatorcontrib>Allen, Clare</creatorcontrib><creatorcontrib>Kirkham, Alex</creatorcontrib><creatorcontrib>Groves, Ashley M.</creatorcontrib><creatorcontrib>Ahmed, Hashim U.</creatorcontrib><creatorcontrib>Emberton, Mark</creatorcontrib><creatorcontrib>Taylor, Stuart A.</creatorcontrib><creatorcontrib>Halligan, Steve</creatorcontrib><creatorcontrib>Punwani, Shonit</creatorcontrib><title>Textural analysis of multiparametric MRI detects transition zone prostate cancer</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters for detection of transition zone (TZ) prostatic tumour.
Methods
Sixty-seven consecutive men with suspected prostate cancer underwent 1.5T mpMRI prior to template-mapping-biopsy (TPM). Twenty-six men had ‘significant’ TZ tumour. Two radiologists in consensus matched TPM to the single axial slice best depicting tumour, or largest TZ diameter for those with benign histology, to define single-slice whole TZ-regions-of-interest (ROIs). Textural-parameter differences between single-slice whole TZ-ROI containing significant tumour versus benign/insignificant tumour were analysed using Mann Whitney U test. Diagnostic accuracy was assessed by receiver operating characteristic area under curve (ROC-AUC) analysis cross-validated with leave-one-out (LOO) analysis.
Results
ADC kurtosis was significantly lower (p < 0.001) in TZ containing significant tumour with ROC-AUC 0.80 (LOO-AUC 0.78); the difference became non-significant following exclusion of significant tumour from single-slice whole TZ-ROI (p = 0.23). T1-entropy was significantly lower (p = 0.004) in TZ containing significant tumour with ROC-AUC 0.70 (LOO-AUC 0.66) and was unaffected by excluding significant tumour from TZ-ROI (p = 0.004). Combining these parameters yielded ROC-AUC 0.86 (LOO-AUC 0.83).
Conclusion
Textural features of the whole prostate TZ can discriminate significant prostatic cancer through reduced kurtosis of the ADC-histogram where significant tumour is included in TZ-ROI and reduced T1 entropy independent of tumour inclusion.
Key Points
•
MR textural features of prostate transition zone may discriminate significant prostatic cancer.
•
Transition zone (TZ) containing significant tumour demonstrates a less peaked ADC histogram.
•
TZ containing significant tumour reveals higher post-contrast T1-weighted homogeneity.
•
The utility of MR texture analysis in prostate cancer merits further investigation.</description><subject>Aged</subject><subject>Area Under Curve</subject><subject>Biopsy</subject><subject>Biopsy - methods</subject><subject>Consensus</subject><subject>Diagnostic Radiology</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Entropy</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Kurtosis</subject><subject>Magnetic Resonance</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Prostate - pathology</subject><subject>Prostate cancer</subject><subject>Prostatic Neoplasms - pathology</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Tumors</subject><subject>Ultrasound</subject><subject>University colleges</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1UU1P3DAQtSpQWWh_QC_IEufQ8UfW9qUSQv1AAoEQPVsTZwJB2WRrO1WXX4_RUgQHLjMjvTdvPh5jXwQcCwDzNQEoBRWIZaVr4yr3gS2EVrISYPUOW4BTtjLO6T22n9I9ADihzUe2J81Sgl3qBbu6oX95jjhwHHHYpD7xqeOrecj9GiOuKMc-8IvrM95SppATzxHH1Od-GvnDNBJfxyllzMQDjoHiJ7bb4ZDo83M-YL9_fL85_VWdX_48Oz05r4I2kKvWKbIBnUbEum46wKbr2iBJBBSd7GpTaiMFyJoKYm2rSmhk7aySzZLUAfu21V3PzYraQGNZbPDr2K8wbvyEvX-LjP2dv53--lqDBW2LwNGzQJz-zJSyv5_mWJ6QvLBO1kYZrQtLbFmhnJkidS8TBPgnE_zWBF9M8E8meFd6Dl-v9tLx_-uFILeEVKDxluKr0e-qPgLg75VY</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Sidhu, Harbir S.</creator><creator>Benigno, Salvatore</creator><creator>Ganeshan, Balaji</creator><creator>Dikaios, Nikos</creator><creator>Johnston, Edward 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analysis of multiparametric MRI detects transition zone prostate cancer</title><author>Sidhu, Harbir S. ; Benigno, Salvatore ; Ganeshan, Balaji ; Dikaios, Nikos ; Johnston, Edward W. ; Allen, Clare ; Kirkham, Alex ; Groves, Ashley M. ; Ahmed, Hashim U. ; Emberton, Mark ; Taylor, Stuart A. ; Halligan, Steve ; Punwani, Shonit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-d93e8ca94aaa55bf0abffdc2e1ca1f2f57c2e721025ebff88d3f88b259832b6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Area Under Curve</topic><topic>Biopsy</topic><topic>Biopsy - methods</topic><topic>Consensus</topic><topic>Diagnostic Radiology</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Entropy</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Kurtosis</topic><topic>Magnetic Resonance</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Prostate - pathology</topic><topic>Prostate cancer</topic><topic>Prostatic Neoplasms - pathology</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Tumors</topic><topic>Ultrasound</topic><topic>University colleges</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sidhu, Harbir S.</creatorcontrib><creatorcontrib>Benigno, Salvatore</creatorcontrib><creatorcontrib>Ganeshan, Balaji</creatorcontrib><creatorcontrib>Dikaios, Nikos</creatorcontrib><creatorcontrib>Johnston, Edward W.</creatorcontrib><creatorcontrib>Allen, Clare</creatorcontrib><creatorcontrib>Kirkham, Alex</creatorcontrib><creatorcontrib>Groves, Ashley M.</creatorcontrib><creatorcontrib>Ahmed, Hashim U.</creatorcontrib><creatorcontrib>Emberton, Mark</creatorcontrib><creatorcontrib>Taylor, Stuart A.</creatorcontrib><creatorcontrib>Halligan, Steve</creatorcontrib><creatorcontrib>Punwani, Shonit</creatorcontrib><collection>SpringerOpen(OpenAccess)</collection><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>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</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 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China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sidhu, Harbir S.</au><au>Benigno, Salvatore</au><au>Ganeshan, Balaji</au><au>Dikaios, Nikos</au><au>Johnston, Edward W.</au><au>Allen, Clare</au><au>Kirkham, Alex</au><au>Groves, Ashley M.</au><au>Ahmed, Hashim U.</au><au>Emberton, Mark</au><au>Taylor, Stuart A.</au><au>Halligan, Steve</au><au>Punwani, Shonit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Textural analysis of multiparametric MRI detects transition zone prostate cancer</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>27</volume><issue>6</issue><spage>2348</spage><epage>2358</epage><pages>2348-2358</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis parameters for detection of transition zone (TZ) prostatic tumour.
Methods
Sixty-seven consecutive men with suspected prostate cancer underwent 1.5T mpMRI prior to template-mapping-biopsy (TPM). Twenty-six men had ‘significant’ TZ tumour. Two radiologists in consensus matched TPM to the single axial slice best depicting tumour, or largest TZ diameter for those with benign histology, to define single-slice whole TZ-regions-of-interest (ROIs). Textural-parameter differences between single-slice whole TZ-ROI containing significant tumour versus benign/insignificant tumour were analysed using Mann Whitney U test. Diagnostic accuracy was assessed by receiver operating characteristic area under curve (ROC-AUC) analysis cross-validated with leave-one-out (LOO) analysis.
Results
ADC kurtosis was significantly lower (p < 0.001) in TZ containing significant tumour with ROC-AUC 0.80 (LOO-AUC 0.78); the difference became non-significant following exclusion of significant tumour from single-slice whole TZ-ROI (p = 0.23). T1-entropy was significantly lower (p = 0.004) in TZ containing significant tumour with ROC-AUC 0.70 (LOO-AUC 0.66) and was unaffected by excluding significant tumour from TZ-ROI (p = 0.004). Combining these parameters yielded ROC-AUC 0.86 (LOO-AUC 0.83).
Conclusion
Textural features of the whole prostate TZ can discriminate significant prostatic cancer through reduced kurtosis of the ADC-histogram where significant tumour is included in TZ-ROI and reduced T1 entropy independent of tumour inclusion.
Key Points
•
MR textural features of prostate transition zone may discriminate significant prostatic cancer.
•
Transition zone (TZ) containing significant tumour demonstrates a less peaked ADC histogram.
•
TZ containing significant tumour reveals higher post-contrast T1-weighted homogeneity.
•
The utility of MR texture analysis in prostate cancer merits further investigation.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27620864</pmid><doi>10.1007/s00330-016-4579-9</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2017-06, Vol.27 (6), p.2348-2358 |
| issn | 0938-7994 1432-1084 |
| language | eng |
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| source | Springer Nature |
| subjects | Aged Area Under Curve Biopsy Biopsy - methods Consensus Diagnostic Radiology Diffusion Magnetic Resonance Imaging Entropy Humans Imaging Internal Medicine Interventional Radiology Kurtosis Magnetic Resonance Magnetic resonance imaging Male Medical imaging Medicine Medicine & Public Health Middle Aged Neuroradiology Prostate - pathology Prostate cancer Prostatic Neoplasms - pathology Radiology Retrospective Studies ROC Curve Tumors Ultrasound University colleges |
| title | Textural analysis of multiparametric MRI detects transition zone prostate cancer |
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