Decision of surgical approach for advanced gallbladder adenocarcinoma based on a Bayesian network
Background and Objectives To determine whether radical resection can benefit patients with advanced gallbladder adenocarcinoma using a Bayesian network (BN) with clinical data. Methods In total, 362 patients who had undergone surgical treatment of gallbladder adenocarcinoma at a tertiary institute w...
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| Veröffentlicht in: | Journal of surgical oncology 2017-12, Vol.116 (8), p.1123-1131 |
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| container_title | Journal of surgical oncology |
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| creator | Cong, Long‐Long Cai, Zhi‐Qiang Guo, Peng Chen, Chen Liu, De‐Chun Li, Wen‐Zhi Wang, Lin Zhao, Yaling Si, Shu‐Bin Geng, Zhi‐Min |
| description | Background and Objectives
To determine whether radical resection can benefit patients with advanced gallbladder adenocarcinoma using a Bayesian network (BN) with clinical data.
Methods
In total, 362 patients who had undergone surgical treatment of gallbladder adenocarcinoma at a tertiary institute were evaluated to establish two BN models using a tree‐augmented naïve Bayes algorithm. We then chose 250 patients with T3‐4N0‐2M0 stage gallbladder adenocarcinoma to test the posterior probability after the surgical type was taken into account.
Results
In total, 170 patients (≤7 months) and 137 patients (>7 months) were correctly classified in the median survival time model (accuracy, 84.81%), and 204 patients (≤12 months), 15 patients (12‐36 months), 17 patients (36‐60 months), and 34 patients (>60 months) were correctly classified in the 1‐, 3‐, and 5‐year survival model (accuracy, 74.59%), respectively. Every posterior probability in the two models upregulated the ratio of the longer survival time and suggested a better prognosis for gallbladder adenocarcinoma that can be improved by R0 resection.
Conclusions
These BN models indicate that stages T4 and N2 gallbladder adenocarcinoma are not contraindications for surgery and that R0 resection can improve survival in patients with advanced gallbladder adenocarcinoma. |
| doi_str_mv | 10.1002/jso.24797 |
| format | Article |
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To determine whether radical resection can benefit patients with advanced gallbladder adenocarcinoma using a Bayesian network (BN) with clinical data.
Methods
In total, 362 patients who had undergone surgical treatment of gallbladder adenocarcinoma at a tertiary institute were evaluated to establish two BN models using a tree‐augmented naïve Bayes algorithm. We then chose 250 patients with T3‐4N0‐2M0 stage gallbladder adenocarcinoma to test the posterior probability after the surgical type was taken into account.
Results
In total, 170 patients (≤7 months) and 137 patients (>7 months) were correctly classified in the median survival time model (accuracy, 84.81%), and 204 patients (≤12 months), 15 patients (12‐36 months), 17 patients (36‐60 months), and 34 patients (>60 months) were correctly classified in the 1‐, 3‐, and 5‐year survival model (accuracy, 74.59%), respectively. Every posterior probability in the two models upregulated the ratio of the longer survival time and suggested a better prognosis for gallbladder adenocarcinoma that can be improved by R0 resection.
Conclusions
These BN models indicate that stages T4 and N2 gallbladder adenocarcinoma are not contraindications for surgery and that R0 resection can improve survival in patients with advanced gallbladder adenocarcinoma.</description><identifier>ISSN: 0022-4790</identifier><identifier>EISSN: 1096-9098</identifier><identifier>DOI: 10.1002/jso.24797</identifier><identifier>PMID: 28876457</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Adenocarcinoma - mortality ; Adenocarcinoma - pathology ; Adenocarcinoma - surgery ; Aged ; Bayes Theorem ; Bayesian analysis ; Bayesian network model ; Cancer surgery ; Digestive System Surgical Procedures - methods ; Female ; Gallbladder ; gallbladder adenocarcinoma ; Gallbladder cancer ; Gallbladder Neoplasms - mortality ; Gallbladder Neoplasms - pathology ; Gallbladder Neoplasms - surgery ; Humans ; Male ; Medical prognosis ; Neoplasm Staging ; predictive model ; Probability ; surgery ; TNM stage</subject><ispartof>Journal of surgical oncology, 2017-12, Vol.116 (8), p.1123-1131</ispartof><rights>2017 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3537-a0b2017f221f772d720c470e56d59df29e8b3e3d48083c2e61f48347883dcbc53</citedby><cites>FETCH-LOGICAL-c3537-a0b2017f221f772d720c470e56d59df29e8b3e3d48083c2e61f48347883dcbc53</cites><orcidid>0000-0003-2645-9808</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjso.24797$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjso.24797$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28876457$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cong, Long‐Long</creatorcontrib><creatorcontrib>Cai, Zhi‐Qiang</creatorcontrib><creatorcontrib>Guo, Peng</creatorcontrib><creatorcontrib>Chen, Chen</creatorcontrib><creatorcontrib>Liu, De‐Chun</creatorcontrib><creatorcontrib>Li, Wen‐Zhi</creatorcontrib><creatorcontrib>Wang, Lin</creatorcontrib><creatorcontrib>Zhao, Yaling</creatorcontrib><creatorcontrib>Si, Shu‐Bin</creatorcontrib><creatorcontrib>Geng, Zhi‐Min</creatorcontrib><title>Decision of surgical approach for advanced gallbladder adenocarcinoma based on a Bayesian network</title><title>Journal of surgical oncology</title><addtitle>J Surg Oncol</addtitle><description>Background and Objectives
To determine whether radical resection can benefit patients with advanced gallbladder adenocarcinoma using a Bayesian network (BN) with clinical data.
Methods
In total, 362 patients who had undergone surgical treatment of gallbladder adenocarcinoma at a tertiary institute were evaluated to establish two BN models using a tree‐augmented naïve Bayes algorithm. We then chose 250 patients with T3‐4N0‐2M0 stage gallbladder adenocarcinoma to test the posterior probability after the surgical type was taken into account.
Results
In total, 170 patients (≤7 months) and 137 patients (>7 months) were correctly classified in the median survival time model (accuracy, 84.81%), and 204 patients (≤12 months), 15 patients (12‐36 months), 17 patients (36‐60 months), and 34 patients (>60 months) were correctly classified in the 1‐, 3‐, and 5‐year survival model (accuracy, 74.59%), respectively. Every posterior probability in the two models upregulated the ratio of the longer survival time and suggested a better prognosis for gallbladder adenocarcinoma that can be improved by R0 resection.
Conclusions
These BN models indicate that stages T4 and N2 gallbladder adenocarcinoma are not contraindications for surgery and that R0 resection can improve survival in patients with advanced gallbladder adenocarcinoma.</description><subject>Adenocarcinoma - mortality</subject><subject>Adenocarcinoma - pathology</subject><subject>Adenocarcinoma - surgery</subject><subject>Aged</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Bayesian network model</subject><subject>Cancer surgery</subject><subject>Digestive System Surgical Procedures - methods</subject><subject>Female</subject><subject>Gallbladder</subject><subject>gallbladder adenocarcinoma</subject><subject>Gallbladder cancer</subject><subject>Gallbladder Neoplasms - mortality</subject><subject>Gallbladder Neoplasms - pathology</subject><subject>Gallbladder Neoplasms - surgery</subject><subject>Humans</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Neoplasm Staging</subject><subject>predictive model</subject><subject>Probability</subject><subject>surgery</subject><subject>TNM stage</subject><issn>0022-4790</issn><issn>1096-9098</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10EtLxDAQB_Agiq6Pg19AAl70UM2jbZKj7weCB_VcpslUu3abNdkq--3NuupB8DQw8-PP8Cdkl7Mjzpg4Hkd_JHJl1AoZcWbKzDCjV8ko3USW9myDbMY4ZowZU-brZENorcq8UCMC52jb2Pqe-obGITy3FjoK02nwYF9o4wMF9w69RUefoevqDpzDxRJ7byHYtvcToDXEBFIK0FOYY2yhpz3OPnx43SZrDXQRd77nFnm6vHg8u87u7q9uzk7uMisLqTJgtWBcNULwRinhlGA2VwyL0hXGNcKgriVKl2umpRVY8ibXMldaS2drW8gtcrDMTa-_DRhn1aSNFrsOevRDrLiRpShlYRZ0_w8d-yH06bukdGG45LpM6nCpbPAxBmyqaWgnEOYVZ9Wi9yr1Xn31nuzed-JQT9D9yp-iEzhego-2w_n_SdXtw_0y8hMe1Yvp</recordid><startdate>20171215</startdate><enddate>20171215</enddate><creator>Cong, Long‐Long</creator><creator>Cai, Zhi‐Qiang</creator><creator>Guo, Peng</creator><creator>Chen, Chen</creator><creator>Liu, De‐Chun</creator><creator>Li, Wen‐Zhi</creator><creator>Wang, Lin</creator><creator>Zhao, Yaling</creator><creator>Si, Shu‐Bin</creator><creator>Geng, Zhi‐Min</creator><general>Wiley Subscription Services, Inc</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>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2645-9808</orcidid></search><sort><creationdate>20171215</creationdate><title>Decision of surgical approach for advanced gallbladder adenocarcinoma based on a Bayesian network</title><author>Cong, Long‐Long ; Cai, Zhi‐Qiang ; Guo, Peng ; Chen, Chen ; Liu, De‐Chun ; Li, Wen‐Zhi ; Wang, Lin ; Zhao, Yaling ; Si, Shu‐Bin ; Geng, Zhi‐Min</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3537-a0b2017f221f772d720c470e56d59df29e8b3e3d48083c2e61f48347883dcbc53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adenocarcinoma - mortality</topic><topic>Adenocarcinoma - pathology</topic><topic>Adenocarcinoma - surgery</topic><topic>Aged</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Bayesian network model</topic><topic>Cancer surgery</topic><topic>Digestive System Surgical Procedures - methods</topic><topic>Female</topic><topic>Gallbladder</topic><topic>gallbladder adenocarcinoma</topic><topic>Gallbladder cancer</topic><topic>Gallbladder Neoplasms - mortality</topic><topic>Gallbladder Neoplasms - pathology</topic><topic>Gallbladder Neoplasms - surgery</topic><topic>Humans</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Neoplasm Staging</topic><topic>predictive model</topic><topic>Probability</topic><topic>surgery</topic><topic>TNM stage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cong, Long‐Long</creatorcontrib><creatorcontrib>Cai, Zhi‐Qiang</creatorcontrib><creatorcontrib>Guo, Peng</creatorcontrib><creatorcontrib>Chen, Chen</creatorcontrib><creatorcontrib>Liu, De‐Chun</creatorcontrib><creatorcontrib>Li, Wen‐Zhi</creatorcontrib><creatorcontrib>Wang, Lin</creatorcontrib><creatorcontrib>Zhao, Yaling</creatorcontrib><creatorcontrib>Si, Shu‐Bin</creatorcontrib><creatorcontrib>Geng, Zhi‐Min</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cong, Long‐Long</au><au>Cai, Zhi‐Qiang</au><au>Guo, Peng</au><au>Chen, Chen</au><au>Liu, De‐Chun</au><au>Li, Wen‐Zhi</au><au>Wang, Lin</au><au>Zhao, Yaling</au><au>Si, Shu‐Bin</au><au>Geng, Zhi‐Min</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decision of surgical approach for advanced gallbladder adenocarcinoma based on a Bayesian network</atitle><jtitle>Journal of surgical oncology</jtitle><addtitle>J Surg Oncol</addtitle><date>2017-12-15</date><risdate>2017</risdate><volume>116</volume><issue>8</issue><spage>1123</spage><epage>1131</epage><pages>1123-1131</pages><issn>0022-4790</issn><eissn>1096-9098</eissn><abstract>Background and Objectives
To determine whether radical resection can benefit patients with advanced gallbladder adenocarcinoma using a Bayesian network (BN) with clinical data.
Methods
In total, 362 patients who had undergone surgical treatment of gallbladder adenocarcinoma at a tertiary institute were evaluated to establish two BN models using a tree‐augmented naïve Bayes algorithm. We then chose 250 patients with T3‐4N0‐2M0 stage gallbladder adenocarcinoma to test the posterior probability after the surgical type was taken into account.
Results
In total, 170 patients (≤7 months) and 137 patients (>7 months) were correctly classified in the median survival time model (accuracy, 84.81%), and 204 patients (≤12 months), 15 patients (12‐36 months), 17 patients (36‐60 months), and 34 patients (>60 months) were correctly classified in the 1‐, 3‐, and 5‐year survival model (accuracy, 74.59%), respectively. Every posterior probability in the two models upregulated the ratio of the longer survival time and suggested a better prognosis for gallbladder adenocarcinoma that can be improved by R0 resection.
Conclusions
These BN models indicate that stages T4 and N2 gallbladder adenocarcinoma are not contraindications for surgery and that R0 resection can improve survival in patients with advanced gallbladder adenocarcinoma.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>28876457</pmid><doi>10.1002/jso.24797</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-2645-9808</orcidid></addata></record> |
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| subjects | Adenocarcinoma - mortality Adenocarcinoma - pathology Adenocarcinoma - surgery Aged Bayes Theorem Bayesian analysis Bayesian network model Cancer surgery Digestive System Surgical Procedures - methods Female Gallbladder gallbladder adenocarcinoma Gallbladder cancer Gallbladder Neoplasms - mortality Gallbladder Neoplasms - pathology Gallbladder Neoplasms - surgery Humans Male Medical prognosis Neoplasm Staging predictive model Probability surgery TNM stage |
| title | Decision of surgical approach for advanced gallbladder adenocarcinoma based on a Bayesian network |
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