Optimal method for measuring tumor extent in needle biopsy specimens to identify small-volume prostate cancer
Objectives To compare various methods for measuring tumor extent in prostate biopsy specimens to identify small‐volume prostate cancer. Methods A total of 100 radical prostatectomy specimens were retrospectively analyzed. Receiver operating characteristic analysis was used to compare the abilities o...
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Veröffentlicht in: | International journal of urology 2016-01, Vol.23 (1), p.62-68 |
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creator | Kajikawa, Keishi Kanao, Kent Kobayashi, Ikuo Nishikawa, Genya Yoshizawa, Takahiko Kato, Yoshiharu Watanabe, Masahito Zennami, Kenji Nakamura, Kogenta Sumitomo, Makoto |
description | Objectives
To compare various methods for measuring tumor extent in prostate biopsy specimens to identify small‐volume prostate cancer.
Methods
A total of 100 radical prostatectomy specimens were retrospectively analyzed. Receiver operating characteristic analysis was used to compare the abilities of prostate‐specific antigen density, and four measures of tumor extent in prostate biopsy specimens – positive core number, greatest percentage of cancer in a single core, greatest length of cancer in cores and total length of cancer in cores – to identify small volume prostate cancer. Four definitions of insignificant cancer volume were used in this analysis: index and total tumor volume |
doi_str_mv | 10.1111/iju.12961 |
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To compare various methods for measuring tumor extent in prostate biopsy specimens to identify small‐volume prostate cancer.
Methods
A total of 100 radical prostatectomy specimens were retrospectively analyzed. Receiver operating characteristic analysis was used to compare the abilities of prostate‐specific antigen density, and four measures of tumor extent in prostate biopsy specimens – positive core number, greatest percentage of cancer in a single core, greatest length of cancer in cores and total length of cancer in cores – to identify small volume prostate cancer. Four definitions of insignificant cancer volume were used in this analysis: index and total tumor volume <0.5 mL, index tumor volume <1.3 mL and total tumor volume <2.5 mL. Multivariate analysis was also used to evaluate variables for predicting small‐volume prostate cancer.
Results
Total length of cancer in cores had the highest areas under the curve of all the measures defining small‐volume prostate cancer: index tumor volume <0.5 mL (0.855), total tumor volume <0.5 mL (0.877), index tumor volume <1.3 mL (0.784) and total tumor volume <2.5 mL (0.818). On multivariate analysis total length of cancer in cores was an independent predictive factor for prostate cancers with index tumor volume <0.5 mL (P < 0.001), <1.3 mL (P < 0.001) and total tumor volume <0.5 mL (P < 0.001), respectively.
Conclusion
Our data suggest that total length of cancer in cores is the optimal measure of tumor extent in prostate biopsy specimens for identifying small‐volume prostate cancer.]]></description><identifier>ISSN: 0919-8172</identifier><identifier>EISSN: 1442-2042</identifier><identifier>DOI: 10.1111/iju.12961</identifier><identifier>PMID: 26449176</identifier><language>eng</language><publisher>Australia: Blackwell Publishing Ltd</publisher><subject>active surveillance ; Aged ; Area Under Curve ; Endoscopic Ultrasound-Guided Fine Needle Aspiration ; Humans ; insignificant cancer ; Male ; Middle Aged ; prostate cancer ; Prostate-Specific Antigen - blood ; Prostatectomy ; Prostatic Neoplasms - blood ; Prostatic Neoplasms - pathology ; Prostatic Neoplasms - surgery ; ROC Curve ; total length of cancer ; Tumor Burden ; tumor extent in biopsy specimens</subject><ispartof>International journal of urology, 2016-01, Vol.23 (1), p.62-68</ispartof><rights>2015 The Japanese Urological Association</rights><rights>2015 The Japanese Urological Association.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4221-3ba59b9abe6b717d24661ecb32d5d561e7615f7151abf1381ec3e13f1b0f24df3</citedby><cites>FETCH-LOGICAL-c4221-3ba59b9abe6b717d24661ecb32d5d561e7615f7151abf1381ec3e13f1b0f24df3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fiju.12961$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fiju.12961$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26449176$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kajikawa, Keishi</creatorcontrib><creatorcontrib>Kanao, Kent</creatorcontrib><creatorcontrib>Kobayashi, Ikuo</creatorcontrib><creatorcontrib>Nishikawa, Genya</creatorcontrib><creatorcontrib>Yoshizawa, Takahiko</creatorcontrib><creatorcontrib>Kato, Yoshiharu</creatorcontrib><creatorcontrib>Watanabe, Masahito</creatorcontrib><creatorcontrib>Zennami, Kenji</creatorcontrib><creatorcontrib>Nakamura, Kogenta</creatorcontrib><creatorcontrib>Sumitomo, Makoto</creatorcontrib><title>Optimal method for measuring tumor extent in needle biopsy specimens to identify small-volume prostate cancer</title><title>International journal of urology</title><addtitle>Int. J. Urol</addtitle><description><![CDATA[Objectives
To compare various methods for measuring tumor extent in prostate biopsy specimens to identify small‐volume prostate cancer.
Methods
A total of 100 radical prostatectomy specimens were retrospectively analyzed. Receiver operating characteristic analysis was used to compare the abilities of prostate‐specific antigen density, and four measures of tumor extent in prostate biopsy specimens – positive core number, greatest percentage of cancer in a single core, greatest length of cancer in cores and total length of cancer in cores – to identify small volume prostate cancer. Four definitions of insignificant cancer volume were used in this analysis: index and total tumor volume <0.5 mL, index tumor volume <1.3 mL and total tumor volume <2.5 mL. Multivariate analysis was also used to evaluate variables for predicting small‐volume prostate cancer.
Results
Total length of cancer in cores had the highest areas under the curve of all the measures defining small‐volume prostate cancer: index tumor volume <0.5 mL (0.855), total tumor volume <0.5 mL (0.877), index tumor volume <1.3 mL (0.784) and total tumor volume <2.5 mL (0.818). On multivariate analysis total length of cancer in cores was an independent predictive factor for prostate cancers with index tumor volume <0.5 mL (P < 0.001), <1.3 mL (P < 0.001) and total tumor volume <0.5 mL (P < 0.001), respectively.
Conclusion
Our data suggest that total length of cancer in cores is the optimal measure of tumor extent in prostate biopsy specimens for identifying small‐volume prostate cancer.]]></description><subject>active surveillance</subject><subject>Aged</subject><subject>Area Under Curve</subject><subject>Endoscopic Ultrasound-Guided Fine Needle Aspiration</subject><subject>Humans</subject><subject>insignificant cancer</subject><subject>Male</subject><subject>Middle Aged</subject><subject>prostate cancer</subject><subject>Prostate-Specific Antigen - blood</subject><subject>Prostatectomy</subject><subject>Prostatic Neoplasms - blood</subject><subject>Prostatic Neoplasms - pathology</subject><subject>Prostatic Neoplasms - surgery</subject><subject>ROC Curve</subject><subject>total length of cancer</subject><subject>Tumor Burden</subject><subject>tumor extent in biopsy specimens</subject><issn>0919-8172</issn><issn>1442-2042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kEtz2yAURplOM7HzWPQPdFg2C8W6gIS1bDyN44zzWNTTJQPSpSXVqwIl8b8PiePsyoZ74dwP5hDyBdJziGvmHsZzYEUOn8gUhGAJSwX7TKZpAUUyB8km5Mj7hzQFzmB-SCYsF6IAmU9Jc9cH1-iaNhj-dBW13RBL7cfBtb9pGJvY43PANlDX0haxqpEa1_V-S32PpWuw9TR01FWRcTaexrQ6eezqsUHaD50POiAtdVvicEIOrK49nr7vx2Rz-ePn4ipZ3y1Xi-_rpBSMQcKNzgpTaIO5kSArJvIcsDScVVmVxVLmkFkJGWhjgc_jHUfgFkxqmagsPybfdrnx_X8j-qAa50usa91iN3oFMhMZiw7mET3boWX8qh_Qqn6IQoatglS92lXRrnqzG9mv77GjabD6IPc6IzDbAU-uxu3_k9TqerOPTHYTzgd8_pjQw1-VSy4z9et2qZY3i4v7i_ReMf4CYK2VBQ</recordid><startdate>201601</startdate><enddate>201601</enddate><creator>Kajikawa, Keishi</creator><creator>Kanao, Kent</creator><creator>Kobayashi, Ikuo</creator><creator>Nishikawa, Genya</creator><creator>Yoshizawa, Takahiko</creator><creator>Kato, Yoshiharu</creator><creator>Watanabe, Masahito</creator><creator>Zennami, Kenji</creator><creator>Nakamura, Kogenta</creator><creator>Sumitomo, Makoto</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><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>7X8</scope></search><sort><creationdate>201601</creationdate><title>Optimal method for measuring tumor extent in needle biopsy specimens to identify small-volume prostate cancer</title><author>Kajikawa, Keishi ; Kanao, Kent ; Kobayashi, Ikuo ; Nishikawa, Genya ; Yoshizawa, Takahiko ; Kato, Yoshiharu ; Watanabe, Masahito ; Zennami, Kenji ; Nakamura, Kogenta ; Sumitomo, Makoto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4221-3ba59b9abe6b717d24661ecb32d5d561e7615f7151abf1381ec3e13f1b0f24df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>active surveillance</topic><topic>Aged</topic><topic>Area Under Curve</topic><topic>Endoscopic Ultrasound-Guided Fine Needle Aspiration</topic><topic>Humans</topic><topic>insignificant cancer</topic><topic>Male</topic><topic>Middle Aged</topic><topic>prostate cancer</topic><topic>Prostate-Specific Antigen - blood</topic><topic>Prostatectomy</topic><topic>Prostatic Neoplasms - blood</topic><topic>Prostatic Neoplasms - pathology</topic><topic>Prostatic Neoplasms - surgery</topic><topic>ROC Curve</topic><topic>total length of cancer</topic><topic>Tumor Burden</topic><topic>tumor extent in biopsy specimens</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kajikawa, Keishi</creatorcontrib><creatorcontrib>Kanao, Kent</creatorcontrib><creatorcontrib>Kobayashi, Ikuo</creatorcontrib><creatorcontrib>Nishikawa, Genya</creatorcontrib><creatorcontrib>Yoshizawa, Takahiko</creatorcontrib><creatorcontrib>Kato, Yoshiharu</creatorcontrib><creatorcontrib>Watanabe, Masahito</creatorcontrib><creatorcontrib>Zennami, Kenji</creatorcontrib><creatorcontrib>Nakamura, Kogenta</creatorcontrib><creatorcontrib>Sumitomo, Makoto</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of urology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kajikawa, Keishi</au><au>Kanao, Kent</au><au>Kobayashi, Ikuo</au><au>Nishikawa, Genya</au><au>Yoshizawa, Takahiko</au><au>Kato, Yoshiharu</au><au>Watanabe, Masahito</au><au>Zennami, Kenji</au><au>Nakamura, Kogenta</au><au>Sumitomo, Makoto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal method for measuring tumor extent in needle biopsy specimens to identify small-volume prostate cancer</atitle><jtitle>International journal of urology</jtitle><addtitle>Int. J. Urol</addtitle><date>2016-01</date><risdate>2016</risdate><volume>23</volume><issue>1</issue><spage>62</spage><epage>68</epage><pages>62-68</pages><issn>0919-8172</issn><eissn>1442-2042</eissn><abstract><![CDATA[Objectives
To compare various methods for measuring tumor extent in prostate biopsy specimens to identify small‐volume prostate cancer.
Methods
A total of 100 radical prostatectomy specimens were retrospectively analyzed. Receiver operating characteristic analysis was used to compare the abilities of prostate‐specific antigen density, and four measures of tumor extent in prostate biopsy specimens – positive core number, greatest percentage of cancer in a single core, greatest length of cancer in cores and total length of cancer in cores – to identify small volume prostate cancer. Four definitions of insignificant cancer volume were used in this analysis: index and total tumor volume <0.5 mL, index tumor volume <1.3 mL and total tumor volume <2.5 mL. Multivariate analysis was also used to evaluate variables for predicting small‐volume prostate cancer.
Results
Total length of cancer in cores had the highest areas under the curve of all the measures defining small‐volume prostate cancer: index tumor volume <0.5 mL (0.855), total tumor volume <0.5 mL (0.877), index tumor volume <1.3 mL (0.784) and total tumor volume <2.5 mL (0.818). On multivariate analysis total length of cancer in cores was an independent predictive factor for prostate cancers with index tumor volume <0.5 mL (P < 0.001), <1.3 mL (P < 0.001) and total tumor volume <0.5 mL (P < 0.001), respectively.
Conclusion
Our data suggest that total length of cancer in cores is the optimal measure of tumor extent in prostate biopsy specimens for identifying small‐volume prostate cancer.]]></abstract><cop>Australia</cop><pub>Blackwell Publishing Ltd</pub><pmid>26449176</pmid><doi>10.1111/iju.12961</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | active surveillance Aged Area Under Curve Endoscopic Ultrasound-Guided Fine Needle Aspiration Humans insignificant cancer Male Middle Aged prostate cancer Prostate-Specific Antigen - blood Prostatectomy Prostatic Neoplasms - blood Prostatic Neoplasms - pathology Prostatic Neoplasms - surgery ROC Curve total length of cancer Tumor Burden tumor extent in biopsy specimens |
title | Optimal method for measuring tumor extent in needle biopsy specimens to identify small-volume prostate cancer |
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