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Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer
Background Accurate evaluation of lymph node metastasis in bladder cancer (BCa) is important for disease staging, treatment selection, and prognosis prediction. In this study, we aimed to evaluate the diagnostic accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) for metastatic...
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description | Background
Accurate evaluation of lymph node metastasis in bladder cancer (BCa) is important for disease staging, treatment selection, and prognosis prediction. In this study, we aimed to evaluate the diagnostic accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) for metastatic lymph nodes in BCa and establish criteria of imaging diagnosis.
Methods
We retrospectively assessed the imaging characteristics of 191 BCa patients who underwent radical cystectomy. The data regarding size, shape, density, and diffusion of the lymph nodes on CT and/or MRI were obtained and analyzed using Kruskal–Wallis test and χ2 test. The optimal cutoff value for the size of metastatic node was determined using the receiver operating characteristic (ROC) curve analysis.
Results
A total of 184 out of 3317 resected lymph nodes were diagnosed as metastatic lymph nodes. Among 82 imaging‐detectable lymph nodes, 51 were confirmed to be positive for metastasis. The detection rate of metastatic nodes increased along with more advanced tumor stage (P < 0.001). Once the ratio of short‐ to long‐axis diameter ≤ 0.4 or fatty hilum was observed in lymph nodes on imaging, it indicated non‐metastases. Besides, lymph nodes with spiculate or obscure margin or necrosis indicated metastases. Furthermore, the short diameter of 6.8 mm was the optimal threshold to diagnose metastatic lymph node, with the area under ROC curve of 0.815.
Conclusions
The probability of metastatic nodes significantly increased with more advanced T stages. Once lymph nodes are detected on imaging, the characteristic signs should be paid attention to. The short diameter > 6.8 mm may indicate metastatic lymph nodes in BCa. |
doi_str_mv | 10.1186/s40880-018-0269-0 |
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fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_5d96999200e445b196e6b934ef3c806f</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A546397823</galeid><doaj_id>oai_doaj_org_article_5d96999200e445b196e6b934ef3c806f</doaj_id><sourcerecordid>A546397823</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5790-31d32cd87197b9ca6450b099cda0d19a11eaf0abdd7d831518bd0e57e2287a693</originalsourceid><addsrcrecordid>eNqFkl2L1DAUhoso7rLuD_BGAoJ40zUfTZPcCMPgx8KCF-p1SJPTToc2GZN2ZP696c66zoggLTS8fc6bnJO3KF4SfEOIrN-lCkuJS0xkiWmtSvykuKScspLxSj49WV8U1yltMcZESVVx9ry4oIoJLCt5WYR1GHfzBA5NYQxdNLvNARnv0Gg6D1NvUYQUvPEWUJ-13ncI9maYzdQHj0KLdjDsMzYcxt0G-eAAjTCZlN8-od6jZjDOQUR28YgvimetGRJcP3yviu8fP3xbfy7vvny6Xa_uSsuFwiUjjlHrpCBKNMqauuK4wUpZZ7AjyhACpsWmcU44yQgnsnEYuABKpTC1YlfF7dHXBbPVu5jPHg86mF7fCyF22sTc3gCaO1UrpSjGUFW8IaqGulGsgpZZies2e70_eu3mZgRnwU_RDGem5398v9Fd2GsuJJe1yAZvHwxi-DFDmvTYJwvDYDyEOWmy7E64rHBGX_-FbsMcfR6VppUQ-aIZJX-ozuQGet-GvK9dTPWKVzVTQlKWqZt_UPlxMPY2eGj7rJ8VvDkp2IAZpk0Kw7xcdToHyRG0MaQUoX0cBsF6Sac-plPndOolnXrp7NXpFB8rfmcxA6sj8DMf6_B_R71erenXezWLi4bZLwY68Po</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2477269321</pqid></control><display><type>article</type><title>Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer</title><source>Open Access: Wiley-Blackwell Open Access Journals</source><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Li, Yong ; Diao, Feiyu ; Shi, Siya ; Li, Kaiwen ; Zhu, Wangshu ; Wu, Shaoxu ; Lin, Tianxin</creator><creatorcontrib>Li, Yong ; Diao, Feiyu ; Shi, Siya ; Li, Kaiwen ; Zhu, Wangshu ; Wu, Shaoxu ; Lin, Tianxin</creatorcontrib><description>Background
Accurate evaluation of lymph node metastasis in bladder cancer (BCa) is important for disease staging, treatment selection, and prognosis prediction. In this study, we aimed to evaluate the diagnostic accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) for metastatic lymph nodes in BCa and establish criteria of imaging diagnosis.
Methods
We retrospectively assessed the imaging characteristics of 191 BCa patients who underwent radical cystectomy. The data regarding size, shape, density, and diffusion of the lymph nodes on CT and/or MRI were obtained and analyzed using Kruskal–Wallis test and χ2 test. The optimal cutoff value for the size of metastatic node was determined using the receiver operating characteristic (ROC) curve analysis.
Results
A total of 184 out of 3317 resected lymph nodes were diagnosed as metastatic lymph nodes. Among 82 imaging‐detectable lymph nodes, 51 were confirmed to be positive for metastasis. The detection rate of metastatic nodes increased along with more advanced tumor stage (P < 0.001). Once the ratio of short‐ to long‐axis diameter ≤ 0.4 or fatty hilum was observed in lymph nodes on imaging, it indicated non‐metastases. Besides, lymph nodes with spiculate or obscure margin or necrosis indicated metastases. Furthermore, the short diameter of 6.8 mm was the optimal threshold to diagnose metastatic lymph node, with the area under ROC curve of 0.815.
Conclusions
The probability of metastatic nodes significantly increased with more advanced T stages. Once lymph nodes are detected on imaging, the characteristic signs should be paid attention to. The short diameter > 6.8 mm may indicate metastatic lymph nodes in BCa.</description><identifier>ISSN: 2523-3548</identifier><identifier>ISSN: 1944-446X</identifier><identifier>ISSN: 1000-467X</identifier><identifier>EISSN: 2523-3548</identifier><identifier>EISSN: 1944-446X</identifier><identifier>DOI: 10.1186/s40880-018-0269-0</identifier><identifier>PMID: 29370848</identifier><language>eng</language><publisher>London: BioMed Central</publisher><subject>Antigens ; Bladder cancer ; Care and treatment ; CAT scans ; Chemotherapy ; Computed tomography ; Cytokeratin ; Diagnosis ; Laparoscopy ; Lymph node metastasis ; Lymphatic metastasis ; Lymphatic system ; Magnetic resonance imaging ; Medical imaging ; Medical prognosis ; Metastasis ; Original ; Patients ; Surgery ; Tomography ; Tumors</subject><ispartof>Ai zheng, 2018-01, Vol.37 (1), p.1-8, Article 3</ispartof><rights>2018 The Author(s)</rights><rights>COPYRIGHT 2018 BioMed Central Ltd.</rights><rights>2018. This work is licensed 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><rights>The Author(s) 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5790-31d32cd87197b9ca6450b099cda0d19a11eaf0abdd7d831518bd0e57e2287a693</citedby><cites>FETCH-LOGICAL-c5790-31d32cd87197b9ca6450b099cda0d19a11eaf0abdd7d831518bd0e57e2287a693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785867/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2477269321?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,11542,25732,27903,27904,36991,44569,46030,46454,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29370848$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Yong</creatorcontrib><creatorcontrib>Diao, Feiyu</creatorcontrib><creatorcontrib>Shi, Siya</creatorcontrib><creatorcontrib>Li, Kaiwen</creatorcontrib><creatorcontrib>Zhu, Wangshu</creatorcontrib><creatorcontrib>Wu, Shaoxu</creatorcontrib><creatorcontrib>Lin, Tianxin</creatorcontrib><title>Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer</title><title>Ai zheng</title><addtitle>Chin J Cancer</addtitle><description>Background
Accurate evaluation of lymph node metastasis in bladder cancer (BCa) is important for disease staging, treatment selection, and prognosis prediction. In this study, we aimed to evaluate the diagnostic accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) for metastatic lymph nodes in BCa and establish criteria of imaging diagnosis.
Methods
We retrospectively assessed the imaging characteristics of 191 BCa patients who underwent radical cystectomy. The data regarding size, shape, density, and diffusion of the lymph nodes on CT and/or MRI were obtained and analyzed using Kruskal–Wallis test and χ2 test. The optimal cutoff value for the size of metastatic node was determined using the receiver operating characteristic (ROC) curve analysis.
Results
A total of 184 out of 3317 resected lymph nodes were diagnosed as metastatic lymph nodes. Among 82 imaging‐detectable lymph nodes, 51 were confirmed to be positive for metastasis. The detection rate of metastatic nodes increased along with more advanced tumor stage (P < 0.001). Once the ratio of short‐ to long‐axis diameter ≤ 0.4 or fatty hilum was observed in lymph nodes on imaging, it indicated non‐metastases. Besides, lymph nodes with spiculate or obscure margin or necrosis indicated metastases. Furthermore, the short diameter of 6.8 mm was the optimal threshold to diagnose metastatic lymph node, with the area under ROC curve of 0.815.
Conclusions
The probability of metastatic nodes significantly increased with more advanced T stages. Once lymph nodes are detected on imaging, the characteristic signs should be paid attention to. The short diameter > 6.8 mm may indicate metastatic lymph nodes in BCa.</description><subject>Antigens</subject><subject>Bladder cancer</subject><subject>Care and treatment</subject><subject>CAT scans</subject><subject>Chemotherapy</subject><subject>Computed tomography</subject><subject>Cytokeratin</subject><subject>Diagnosis</subject><subject>Laparoscopy</subject><subject>Lymph node metastasis</subject><subject>Lymphatic metastasis</subject><subject>Lymphatic system</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>Original</subject><subject>Patients</subject><subject>Surgery</subject><subject>Tomography</subject><subject>Tumors</subject><issn>2523-3548</issn><issn>1944-446X</issn><issn>1000-467X</issn><issn>2523-3548</issn><issn>1944-446X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFkl2L1DAUhoso7rLuD_BGAoJ40zUfTZPcCMPgx8KCF-p1SJPTToc2GZN2ZP696c66zoggLTS8fc6bnJO3KF4SfEOIrN-lCkuJS0xkiWmtSvykuKScspLxSj49WV8U1yltMcZESVVx9ry4oIoJLCt5WYR1GHfzBA5NYQxdNLvNARnv0Gg6D1NvUYQUvPEWUJ-13ncI9maYzdQHj0KLdjDsMzYcxt0G-eAAjTCZlN8-od6jZjDOQUR28YgvimetGRJcP3yviu8fP3xbfy7vvny6Xa_uSsuFwiUjjlHrpCBKNMqauuK4wUpZZ7AjyhACpsWmcU44yQgnsnEYuABKpTC1YlfF7dHXBbPVu5jPHg86mF7fCyF22sTc3gCaO1UrpSjGUFW8IaqGulGsgpZZies2e70_eu3mZgRnwU_RDGem5398v9Fd2GsuJJe1yAZvHwxi-DFDmvTYJwvDYDyEOWmy7E64rHBGX_-FbsMcfR6VppUQ-aIZJX-ozuQGet-GvK9dTPWKVzVTQlKWqZt_UPlxMPY2eGj7rJ8VvDkp2IAZpk0Kw7xcdToHyRG0MaQUoX0cBsF6Sac-plPndOolnXrp7NXpFB8rfmcxA6sj8DMf6_B_R71erenXezWLi4bZLwY68Po</recordid><startdate>20180126</startdate><enddate>20180126</enddate><creator>Li, Yong</creator><creator>Diao, Feiyu</creator><creator>Shi, Siya</creator><creator>Li, Kaiwen</creator><creator>Zhu, Wangshu</creator><creator>Wu, Shaoxu</creator><creator>Lin, Tianxin</creator><general>BioMed Central</general><general>BioMed Central Ltd</general><general>John Wiley & Sons, Inc</general><general>BMC</general><scope>24P</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>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20180126</creationdate><title>Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer</title><author>Li, Yong ; Diao, Feiyu ; Shi, Siya ; Li, Kaiwen ; Zhu, Wangshu ; Wu, Shaoxu ; Lin, Tianxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5790-31d32cd87197b9ca6450b099cda0d19a11eaf0abdd7d831518bd0e57e2287a693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Antigens</topic><topic>Bladder cancer</topic><topic>Care and treatment</topic><topic>CAT scans</topic><topic>Chemotherapy</topic><topic>Computed tomography</topic><topic>Cytokeratin</topic><topic>Diagnosis</topic><topic>Laparoscopy</topic><topic>Lymph node metastasis</topic><topic>Lymphatic metastasis</topic><topic>Lymphatic system</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>Original</topic><topic>Patients</topic><topic>Surgery</topic><topic>Tomography</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yong</creatorcontrib><creatorcontrib>Diao, Feiyu</creatorcontrib><creatorcontrib>Shi, Siya</creatorcontrib><creatorcontrib>Li, Kaiwen</creatorcontrib><creatorcontrib>Zhu, Wangshu</creatorcontrib><creatorcontrib>Wu, Shaoxu</creatorcontrib><creatorcontrib>Lin, Tianxin</creatorcontrib><collection>Open Access: Wiley-Blackwell Open Access Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</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>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 UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Databases</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</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><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Ai zheng</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yong</au><au>Diao, Feiyu</au><au>Shi, Siya</au><au>Li, Kaiwen</au><au>Zhu, Wangshu</au><au>Wu, Shaoxu</au><au>Lin, Tianxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer</atitle><jtitle>Ai zheng</jtitle><addtitle>Chin J Cancer</addtitle><date>2018-01-26</date><risdate>2018</risdate><volume>37</volume><issue>1</issue><spage>1</spage><epage>8</epage><pages>1-8</pages><artnum>3</artnum><issn>2523-3548</issn><issn>1944-446X</issn><issn>1000-467X</issn><eissn>2523-3548</eissn><eissn>1944-446X</eissn><abstract>Background
Accurate evaluation of lymph node metastasis in bladder cancer (BCa) is important for disease staging, treatment selection, and prognosis prediction. In this study, we aimed to evaluate the diagnostic accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) for metastatic lymph nodes in BCa and establish criteria of imaging diagnosis.
Methods
We retrospectively assessed the imaging characteristics of 191 BCa patients who underwent radical cystectomy. The data regarding size, shape, density, and diffusion of the lymph nodes on CT and/or MRI were obtained and analyzed using Kruskal–Wallis test and χ2 test. The optimal cutoff value for the size of metastatic node was determined using the receiver operating characteristic (ROC) curve analysis.
Results
A total of 184 out of 3317 resected lymph nodes were diagnosed as metastatic lymph nodes. Among 82 imaging‐detectable lymph nodes, 51 were confirmed to be positive for metastasis. The detection rate of metastatic nodes increased along with more advanced tumor stage (P < 0.001). Once the ratio of short‐ to long‐axis diameter ≤ 0.4 or fatty hilum was observed in lymph nodes on imaging, it indicated non‐metastases. Besides, lymph nodes with spiculate or obscure margin or necrosis indicated metastases. Furthermore, the short diameter of 6.8 mm was the optimal threshold to diagnose metastatic lymph node, with the area under ROC curve of 0.815.
Conclusions
The probability of metastatic nodes significantly increased with more advanced T stages. Once lymph nodes are detected on imaging, the characteristic signs should be paid attention to. The short diameter > 6.8 mm may indicate metastatic lymph nodes in BCa.</abstract><cop>London</cop><pub>BioMed Central</pub><pmid>29370848</pmid><doi>10.1186/s40880-018-0269-0</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Antigens Bladder cancer Care and treatment CAT scans Chemotherapy Computed tomography Cytokeratin Diagnosis Laparoscopy Lymph node metastasis Lymphatic metastasis Lymphatic system Magnetic resonance imaging Medical imaging Medical prognosis Metastasis Original Patients Surgery Tomography Tumors |
title | Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer |
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