T.H.R.O.B.V.S. Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus

BackgroundTo propose a quantitative model for predicting the surgical complexity of patients with renal cell carcinoma (RCC) and venous tumor thrombus (VTT). MethodThe clinical data of 226 cases of RCC with VTT in Peking University Third Hospital from January 2014 to August 2020 were retrospectively...

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Published in:Frontiers in oncology 2022-06, Vol.12, p.900550-900550
Main Authors: Wang, Kai, Liu, Zhuo, Hong, Peng, Qin, Yan-chun, Zhao, Xun, Zhang, Hong-xian, Liu, Cheng, Ge, Li-yuan, Ma, Lu-lin
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Language:English
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nephrectomy
Oncology
prediction model
renal cell carcinoma
surgical complexity
thrombectomy
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container_title Frontiers in oncology
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Liu, Zhuo
Hong, Peng
Qin, Yan-chun
Zhao, Xun
Zhang, Hong-xian
Liu, Cheng
Ge, Li-yuan
Ma, Lu-lin
description BackgroundTo propose a quantitative model for predicting the surgical complexity of patients with renal cell carcinoma (RCC) and venous tumor thrombus (VTT). MethodThe clinical data of 226 cases of RCC with VTT in Peking University Third Hospital from January 2014 to August 2020 were retrospectively analyzed. Seven indicators were selected to establish the T.H.R.O.B.V.S. system, including alkaline phosphatase, tumor thrombus height, maximum tumor diameter, obesity, bland thrombus, vascular wall invasion, and side. Each indicator was assigned with 0, (1), and 2 points, and the total scores of 0~2, 3~5, and ≥6 were set as the low-, middle-, and high-risk groups, respectively. The surgical complexity was compared and validated among groups. ResultsAs the risk increased, the proportion of open surgery significantly increased (P
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Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus</title><source>PubMed Central</source><creator>Wang, Kai ; Liu, Zhuo ; Hong, Peng ; Qin, Yan-chun ; Zhao, Xun ; Zhang, Hong-xian ; Liu, Cheng ; Ge, Li-yuan ; Ma, Lu-lin</creator><creatorcontrib>Wang, Kai ; Liu, Zhuo ; Hong, Peng ; Qin, Yan-chun ; Zhao, Xun ; Zhang, Hong-xian ; Liu, Cheng ; Ge, Li-yuan ; Ma, Lu-lin</creatorcontrib><description><![CDATA[BackgroundTo propose a quantitative model for predicting the surgical complexity of patients with renal cell carcinoma (RCC) and venous tumor thrombus (VTT). MethodThe clinical data of 226 cases of RCC with VTT in Peking University Third Hospital from January 2014 to August 2020 were retrospectively analyzed. Seven indicators were selected to establish the T.H.R.O.B.V.S. system, including alkaline phosphatase, tumor thrombus height, maximum tumor diameter, obesity, bland thrombus, vascular wall invasion, and side. Each indicator was assigned with 0, (1), and 2 points, and the total scores of 0~2, 3~5, and ≥6 were set as the low-, middle-, and high-risk groups, respectively. The surgical complexity was compared and validated among groups. ResultsAs the risk increased, the proportion of open surgery significantly increased (P<0.001). The operation time (P<0.001), intraoperative blood loss (P<0.001), blood or plasma transfusion (P<0.001), and hospitalization (P<0.001) increased significantly. The postoperative complications (P<0.001), including notable complications (≥Clavein-Dindo II, P<0.001), were significantly different, and similar trends were shown in the validation group. ConclusionThe T.H.R.O.B.V.S. scoring system is a quantifiable and satisfactory model to predict the surgical complexity and perioperative management of RCC with VTT.]]></description><identifier>ISSN: 2234-943X</identifier><identifier>EISSN: 2234-943X</identifier><identifier>DOI: 10.3389/fonc.2022.900550</identifier><identifier>PMID: 35814463</identifier><language>eng</language><publisher>Frontiers Media S.A</publisher><subject>nephrectomy ; Oncology ; prediction model ; renal cell carcinoma ; surgical complexity ; thrombectomy</subject><ispartof>Frontiers in oncology, 2022-06, Vol.12, p.900550-900550</ispartof><rights>Copyright © 2022 Wang, Liu, Hong, Qin, Zhao, Zhang, Liu, Ge and Ma 2022 Wang, Liu, Hong, Qin, Zhao, Zhang, Liu, Ge and Ma</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c392t-f7f8f85a766942343f77e774ce48a6906bab0b4600aaceba3b5d7511333bd0843</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/PMC9261335/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261335/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids></links><search><creatorcontrib>Wang, Kai</creatorcontrib><creatorcontrib>Liu, Zhuo</creatorcontrib><creatorcontrib>Hong, Peng</creatorcontrib><creatorcontrib>Qin, Yan-chun</creatorcontrib><creatorcontrib>Zhao, Xun</creatorcontrib><creatorcontrib>Zhang, Hong-xian</creatorcontrib><creatorcontrib>Liu, Cheng</creatorcontrib><creatorcontrib>Ge, Li-yuan</creatorcontrib><creatorcontrib>Ma, Lu-lin</creatorcontrib><title>T.H.R.O.B.V.S. Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus</title><title>Frontiers in oncology</title><description><![CDATA[BackgroundTo propose a quantitative model for predicting the surgical complexity of patients with renal cell carcinoma (RCC) and venous tumor thrombus (VTT). MethodThe clinical data of 226 cases of RCC with VTT in Peking University Third Hospital from January 2014 to August 2020 were retrospectively analyzed. Seven indicators were selected to establish the T.H.R.O.B.V.S. system, including alkaline phosphatase, tumor thrombus height, maximum tumor diameter, obesity, bland thrombus, vascular wall invasion, and side. Each indicator was assigned with 0, (1), and 2 points, and the total scores of 0~2, 3~5, and ≥6 were set as the low-, middle-, and high-risk groups, respectively. The surgical complexity was compared and validated among groups. ResultsAs the risk increased, the proportion of open surgery significantly increased (P<0.001). The operation time (P<0.001), intraoperative blood loss (P<0.001), blood or plasma transfusion (P<0.001), and hospitalization (P<0.001) increased significantly. The postoperative complications (P<0.001), including notable complications (≥Clavein-Dindo II, P<0.001), were significantly different, and similar trends were shown in the validation group. ConclusionThe T.H.R.O.B.V.S. scoring system is a quantifiable and satisfactory model to predict the surgical complexity and perioperative management of RCC with VTT.]]></description><subject>nephrectomy</subject><subject>Oncology</subject><subject>prediction model</subject><subject>renal cell carcinoma</subject><subject>surgical complexity</subject><subject>thrombectomy</subject><issn>2234-943X</issn><issn>2234-943X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkk1v1DAQhiMEolXpnaOPXNZM4o84F6SyAlqpqKi7fNws25lsXCXxYicVPSDxH_iH_BKSboXoHGas8atnPNabZS9zoIyp6nUTBkcLKApaAQgBT7LjomB8VXH27el_56PsNKUbmEMKyIE9z46YUDnnkh1nP7f0nF7TK_qWfqEbSjYuRCR_fv0mZ2Qd-n3EFofkb5F8DDV2ZAzkU8Tau5GMLZLNFHfeme5e2-EPP96R0JBrHJYednMy0fkh9IZ89WNLtlMfItm2MfR2Si-yZ43pEp4-1JPs8_t32_X56vLqw8X67HLlWFWMq6ZsVKOEKaWs-LwWa8oSy5I75MrICqQ1FiyXAMY4tIZZUZcizxljtgbF2Ul2ceDWwdzoffS9iXc6GK_vGyHutImjdx3qWlRoRVUa4JI3OSgJXKncGsVzA_nCenNg7SfbY-1wGKPpHkEf3wy-1btwq6tCzi8SM-DVAyCG7xOmUfc-ufmvzIBhSrqQSoEqoYBZCgepiyGliM2_MTnoxQR6MYFeTKAPJmB_AbCAo2k</recordid><startdate>20220623</startdate><enddate>20220623</enddate><creator>Wang, Kai</creator><creator>Liu, Zhuo</creator><creator>Hong, Peng</creator><creator>Qin, Yan-chun</creator><creator>Zhao, Xun</creator><creator>Zhang, Hong-xian</creator><creator>Liu, Cheng</creator><creator>Ge, Li-yuan</creator><creator>Ma, Lu-lin</creator><general>Frontiers Media S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20220623</creationdate><title>T.H.R.O.B.V.S. Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus</title><author>Wang, Kai ; Liu, Zhuo ; Hong, Peng ; Qin, Yan-chun ; Zhao, Xun ; Zhang, Hong-xian ; Liu, Cheng ; Ge, Li-yuan ; Ma, Lu-lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-f7f8f85a766942343f77e774ce48a6906bab0b4600aaceba3b5d7511333bd0843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>nephrectomy</topic><topic>Oncology</topic><topic>prediction model</topic><topic>renal cell carcinoma</topic><topic>surgical complexity</topic><topic>thrombectomy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Kai</creatorcontrib><creatorcontrib>Liu, Zhuo</creatorcontrib><creatorcontrib>Hong, Peng</creatorcontrib><creatorcontrib>Qin, Yan-chun</creatorcontrib><creatorcontrib>Zhao, Xun</creatorcontrib><creatorcontrib>Zhang, Hong-xian</creatorcontrib><creatorcontrib>Liu, Cheng</creatorcontrib><creatorcontrib>Ge, Li-yuan</creatorcontrib><creatorcontrib>Ma, Lu-lin</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Kai</au><au>Liu, Zhuo</au><au>Hong, Peng</au><au>Qin, Yan-chun</au><au>Zhao, Xun</au><au>Zhang, Hong-xian</au><au>Liu, Cheng</au><au>Ge, Li-yuan</au><au>Ma, Lu-lin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>T.H.R.O.B.V.S. Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus</atitle><jtitle>Frontiers in oncology</jtitle><date>2022-06-23</date><risdate>2022</risdate><volume>12</volume><spage>900550</spage><epage>900550</epage><pages>900550-900550</pages><issn>2234-943X</issn><eissn>2234-943X</eissn><abstract><![CDATA[BackgroundTo propose a quantitative model for predicting the surgical complexity of patients with renal cell carcinoma (RCC) and venous tumor thrombus (VTT). MethodThe clinical data of 226 cases of RCC with VTT in Peking University Third Hospital from January 2014 to August 2020 were retrospectively analyzed. Seven indicators were selected to establish the T.H.R.O.B.V.S. system, including alkaline phosphatase, tumor thrombus height, maximum tumor diameter, obesity, bland thrombus, vascular wall invasion, and side. Each indicator was assigned with 0, (1), and 2 points, and the total scores of 0~2, 3~5, and ≥6 were set as the low-, middle-, and high-risk groups, respectively. The surgical complexity was compared and validated among groups. ResultsAs the risk increased, the proportion of open surgery significantly increased (P<0.001). The operation time (P<0.001), intraoperative blood loss (P<0.001), blood or plasma transfusion (P<0.001), and hospitalization (P<0.001) increased significantly. The postoperative complications (P<0.001), including notable complications (≥Clavein-Dindo II, P<0.001), were significantly different, and similar trends were shown in the validation group. ConclusionThe T.H.R.O.B.V.S. scoring system is a quantifiable and satisfactory model to predict the surgical complexity and perioperative management of RCC with VTT.]]></abstract><pub>Frontiers Media S.A</pub><pmid>35814463</pmid><doi>10.3389/fonc.2022.900550</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects nephrectomy
Oncology
prediction model
renal cell carcinoma
surgical complexity
thrombectomy
title T.H.R.O.B.V.S. Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus
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