A nomogram to preoperatively predict the aggressiveness of non-functional pancreatic neuroendocrine tumors based on CT features
•Existing clinicopathological factors which reflect the aggressiveness of non-functional pancreatic neuroendocrine tumors can only be acquired post-surger and cannot allow preoperative aggressive stratification.•We constructed a nomogram to preoperatively predict the aggressiveness of non– functiona...
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| Veröffentlicht in: | European journal of radiology 2024-02, Vol.171, p.111284-111284, Article 111284 |
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| container_title | European journal of radiology |
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| creator | Shen, Xiaoding Yang, Fan Jiang, Taiyan Zheng, Zhenjiang Chen, Yonghua Tan, Chunlu Ke, Nengwen Qiu, Jiajun Liu, Xubao Zhang, Hao Wang, Xing |
| description | •Existing clinicopathological factors which reflect the aggressiveness of non-functional pancreatic neuroendocrine tumors can only be acquired post-surger and cannot allow preoperative aggressive stratification.•We constructed a nomogram to preoperatively predict the aggressiveness of non– functional pancreatic neuroendocrine tumors based on CT features.•The present nomogram shows good performance in predicting the aggressiveness of non– functional pancreatic neuroendocrine tumors.
To develop a nomogram to predict the aggressiveness of non-functional pancreatic neuroendocrine tumors (NF-pNETs) based on preoperative computed tomography (CT) features.
This study included 176 patients undergoing radical resection for NF-pNETs. These patients were randomly divided into the training (n = 123) and validation sets (n = 53). A nomogram was developed based on preoperative predictors of aggressiveness of the NF-pNETs which were identified by univariable and multivariable logistic regression analysis. The aggressiveness of NF-pNETs was defined as a composite measure including G3 grading, N+, distant metastases, and/ or disease recurrence.
Altogether, the number of patients with highly aggressive NF-pNETs was 37 (30.08 %) and 15 (28.30 %) in the training and validation sets, respectively. Multivariable logistic regression analysis identified that tumor size, biliopancreatic duct dilatation, lymphadenopathy, and enhancement pattern were preoperative predictors of aggressiveness. Those variables were used to develop a nomogram with good concordance statistics of 0.89 and 0.86 for predicting aggressiveness in the training and validation sets, respectively. With a nomogram score of 59, patients with NF-pNETs were divided into low-aggressive and high-aggressive groups. The high-aggressive group had decreased overall survival (OS) and disease-free survival (DFS). Moreover, the nomogram showed good performance in predicting OS and DFS at 3, 5, and 10 years.
The nomogram integrating CT features helped preoperatively predict the aggressiveness of NF-pNETs and could potentially facilitate clinical decision-making. |
| doi_str_mv | 10.1016/j.ejrad.2023.111284 |
| format | Article |
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To develop a nomogram to predict the aggressiveness of non-functional pancreatic neuroendocrine tumors (NF-pNETs) based on preoperative computed tomography (CT) features.
This study included 176 patients undergoing radical resection for NF-pNETs. These patients were randomly divided into the training (n = 123) and validation sets (n = 53). A nomogram was developed based on preoperative predictors of aggressiveness of the NF-pNETs which were identified by univariable and multivariable logistic regression analysis. The aggressiveness of NF-pNETs was defined as a composite measure including G3 grading, N+, distant metastases, and/ or disease recurrence.
Altogether, the number of patients with highly aggressive NF-pNETs was 37 (30.08 %) and 15 (28.30 %) in the training and validation sets, respectively. Multivariable logistic regression analysis identified that tumor size, biliopancreatic duct dilatation, lymphadenopathy, and enhancement pattern were preoperative predictors of aggressiveness. Those variables were used to develop a nomogram with good concordance statistics of 0.89 and 0.86 for predicting aggressiveness in the training and validation sets, respectively. With a nomogram score of 59, patients with NF-pNETs were divided into low-aggressive and high-aggressive groups. The high-aggressive group had decreased overall survival (OS) and disease-free survival (DFS). Moreover, the nomogram showed good performance in predicting OS and DFS at 3, 5, and 10 years.
The nomogram integrating CT features helped preoperatively predict the aggressiveness of NF-pNETs and could potentially facilitate clinical decision-making.</description><identifier>ISSN: 0720-048X</identifier><identifier>EISSN: 1872-7727</identifier><identifier>DOI: 10.1016/j.ejrad.2023.111284</identifier><identifier>PMID: 38232572</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Aggressiveness ; Computed tomography ; Humans ; Neoplasm Recurrence, Local - diagnostic imaging ; Neuroectodermal Tumors, Primitive ; Neuroendocrine Tumors - diagnostic imaging ; Neuroendocrine Tumors - pathology ; Neuroendocrine Tumors - surgery ; Nomograms ; Pancreatic Neoplasms - diagnostic imaging ; Pancreatic Neoplasms - pathology ; Pancreatic Neoplasms - surgery ; Pancreatic neuroendocrine tumors ; Preoperative ; Retrospective Studies ; Tomography, X-Ray Computed - methods</subject><ispartof>European journal of radiology, 2024-02, Vol.171, p.111284-111284, Article 111284</ispartof><rights>2023</rights><rights>Copyright © 2023. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c309t-821c7294e92a04df63059bdf01392d1e3df2dd857e2d701b6500380f2085122f3</cites><orcidid>0000-0003-3955-0686</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejrad.2023.111284$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38232572$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Xiaoding</creatorcontrib><creatorcontrib>Yang, Fan</creatorcontrib><creatorcontrib>Jiang, Taiyan</creatorcontrib><creatorcontrib>Zheng, Zhenjiang</creatorcontrib><creatorcontrib>Chen, Yonghua</creatorcontrib><creatorcontrib>Tan, Chunlu</creatorcontrib><creatorcontrib>Ke, Nengwen</creatorcontrib><creatorcontrib>Qiu, Jiajun</creatorcontrib><creatorcontrib>Liu, Xubao</creatorcontrib><creatorcontrib>Zhang, Hao</creatorcontrib><creatorcontrib>Wang, Xing</creatorcontrib><title>A nomogram to preoperatively predict the aggressiveness of non-functional pancreatic neuroendocrine tumors based on CT features</title><title>European journal of radiology</title><addtitle>Eur J Radiol</addtitle><description>•Existing clinicopathological factors which reflect the aggressiveness of non-functional pancreatic neuroendocrine tumors can only be acquired post-surger and cannot allow preoperative aggressive stratification.•We constructed a nomogram to preoperatively predict the aggressiveness of non– functional pancreatic neuroendocrine tumors based on CT features.•The present nomogram shows good performance in predicting the aggressiveness of non– functional pancreatic neuroendocrine tumors.
To develop a nomogram to predict the aggressiveness of non-functional pancreatic neuroendocrine tumors (NF-pNETs) based on preoperative computed tomography (CT) features.
This study included 176 patients undergoing radical resection for NF-pNETs. These patients were randomly divided into the training (n = 123) and validation sets (n = 53). A nomogram was developed based on preoperative predictors of aggressiveness of the NF-pNETs which were identified by univariable and multivariable logistic regression analysis. The aggressiveness of NF-pNETs was defined as a composite measure including G3 grading, N+, distant metastases, and/ or disease recurrence.
Altogether, the number of patients with highly aggressive NF-pNETs was 37 (30.08 %) and 15 (28.30 %) in the training and validation sets, respectively. Multivariable logistic regression analysis identified that tumor size, biliopancreatic duct dilatation, lymphadenopathy, and enhancement pattern were preoperative predictors of aggressiveness. Those variables were used to develop a nomogram with good concordance statistics of 0.89 and 0.86 for predicting aggressiveness in the training and validation sets, respectively. With a nomogram score of 59, patients with NF-pNETs were divided into low-aggressive and high-aggressive groups. The high-aggressive group had decreased overall survival (OS) and disease-free survival (DFS). Moreover, the nomogram showed good performance in predicting OS and DFS at 3, 5, and 10 years.
The nomogram integrating CT features helped preoperatively predict the aggressiveness of NF-pNETs and could potentially facilitate clinical decision-making.</description><subject>Aggressiveness</subject><subject>Computed tomography</subject><subject>Humans</subject><subject>Neoplasm Recurrence, Local - diagnostic imaging</subject><subject>Neuroectodermal Tumors, Primitive</subject><subject>Neuroendocrine Tumors - diagnostic imaging</subject><subject>Neuroendocrine Tumors - pathology</subject><subject>Neuroendocrine Tumors - surgery</subject><subject>Nomograms</subject><subject>Pancreatic Neoplasms - diagnostic imaging</subject><subject>Pancreatic Neoplasms - pathology</subject><subject>Pancreatic Neoplasms - surgery</subject><subject>Pancreatic neuroendocrine tumors</subject><subject>Preoperative</subject><subject>Retrospective Studies</subject><subject>Tomography, X-Ray Computed - methods</subject><issn>0720-048X</issn><issn>1872-7727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE2LFDEQhoMo7rj6CwTJ0UuPlUr3pPvgYRn8ggUvK3gLmaQyZuhO2qR7YU_-dTPO6tFTUdTzVlEPY68FbAWI3bvTlk7ZuC0Cyq0QAvv2CduIXmGjFKqnbAMKoYG2_37FXpRyAoCuHfA5u5I9SuwUbtivGx7TlI7ZTHxJfM6UZspmCfc0PpxbF-zClx_EzfGYqZQ6iLXw5GswNn6NdgkpmpHPJtpMNWp5pDUnii7ZHCLxZZ1SLvxgCjmeIt_fcV_Bte57yZ55MxZ69Viv2bePH-72n5vbr5--7G9uGythWJoehVU4tDSggdb5nYRuODgPQg7oBEnn0bm-U4ROgTjsOgDZg0foO4Ho5TV7e9k75_RzpbLoKRRL42gipbVoHMSuBVVTFZUX1OZUSiav5xwmkx-0AH02r0_6j3l9Nq8v5mvqzeOB9TCR-5f5q7oC7y8A1TfvA2VdbKBoq-FMdtEuhf8e-A2Kwpcv</recordid><startdate>202402</startdate><enddate>202402</enddate><creator>Shen, Xiaoding</creator><creator>Yang, Fan</creator><creator>Jiang, Taiyan</creator><creator>Zheng, Zhenjiang</creator><creator>Chen, Yonghua</creator><creator>Tan, Chunlu</creator><creator>Ke, Nengwen</creator><creator>Qiu, Jiajun</creator><creator>Liu, Xubao</creator><creator>Zhang, Hao</creator><creator>Wang, Xing</creator><general>Elsevier B.V</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>7X8</scope><orcidid>https://orcid.org/0000-0003-3955-0686</orcidid></search><sort><creationdate>202402</creationdate><title>A nomogram to preoperatively predict the aggressiveness of non-functional pancreatic neuroendocrine tumors based on CT features</title><author>Shen, Xiaoding ; Yang, Fan ; Jiang, Taiyan ; Zheng, Zhenjiang ; Chen, Yonghua ; Tan, Chunlu ; Ke, Nengwen ; Qiu, Jiajun ; Liu, Xubao ; Zhang, Hao ; Wang, Xing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c309t-821c7294e92a04df63059bdf01392d1e3df2dd857e2d701b6500380f2085122f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aggressiveness</topic><topic>Computed tomography</topic><topic>Humans</topic><topic>Neoplasm Recurrence, Local - diagnostic imaging</topic><topic>Neuroectodermal Tumors, Primitive</topic><topic>Neuroendocrine Tumors - diagnostic imaging</topic><topic>Neuroendocrine Tumors - pathology</topic><topic>Neuroendocrine Tumors - surgery</topic><topic>Nomograms</topic><topic>Pancreatic Neoplasms - diagnostic imaging</topic><topic>Pancreatic Neoplasms - pathology</topic><topic>Pancreatic Neoplasms - surgery</topic><topic>Pancreatic neuroendocrine tumors</topic><topic>Preoperative</topic><topic>Retrospective Studies</topic><topic>Tomography, X-Ray Computed - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Xiaoding</creatorcontrib><creatorcontrib>Yang, Fan</creatorcontrib><creatorcontrib>Jiang, Taiyan</creatorcontrib><creatorcontrib>Zheng, Zhenjiang</creatorcontrib><creatorcontrib>Chen, Yonghua</creatorcontrib><creatorcontrib>Tan, Chunlu</creatorcontrib><creatorcontrib>Ke, Nengwen</creatorcontrib><creatorcontrib>Qiu, Jiajun</creatorcontrib><creatorcontrib>Liu, Xubao</creatorcontrib><creatorcontrib>Zhang, Hao</creatorcontrib><creatorcontrib>Wang, Xing</creatorcontrib><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>European journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Xiaoding</au><au>Yang, Fan</au><au>Jiang, Taiyan</au><au>Zheng, Zhenjiang</au><au>Chen, Yonghua</au><au>Tan, Chunlu</au><au>Ke, Nengwen</au><au>Qiu, Jiajun</au><au>Liu, Xubao</au><au>Zhang, Hao</au><au>Wang, Xing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A nomogram to preoperatively predict the aggressiveness of non-functional pancreatic neuroendocrine tumors based on CT features</atitle><jtitle>European journal of radiology</jtitle><addtitle>Eur J Radiol</addtitle><date>2024-02</date><risdate>2024</risdate><volume>171</volume><spage>111284</spage><epage>111284</epage><pages>111284-111284</pages><artnum>111284</artnum><issn>0720-048X</issn><eissn>1872-7727</eissn><abstract>•Existing clinicopathological factors which reflect the aggressiveness of non-functional pancreatic neuroendocrine tumors can only be acquired post-surger and cannot allow preoperative aggressive stratification.•We constructed a nomogram to preoperatively predict the aggressiveness of non– functional pancreatic neuroendocrine tumors based on CT features.•The present nomogram shows good performance in predicting the aggressiveness of non– functional pancreatic neuroendocrine tumors.
To develop a nomogram to predict the aggressiveness of non-functional pancreatic neuroendocrine tumors (NF-pNETs) based on preoperative computed tomography (CT) features.
This study included 176 patients undergoing radical resection for NF-pNETs. These patients were randomly divided into the training (n = 123) and validation sets (n = 53). A nomogram was developed based on preoperative predictors of aggressiveness of the NF-pNETs which were identified by univariable and multivariable logistic regression analysis. The aggressiveness of NF-pNETs was defined as a composite measure including G3 grading, N+, distant metastases, and/ or disease recurrence.
Altogether, the number of patients with highly aggressive NF-pNETs was 37 (30.08 %) and 15 (28.30 %) in the training and validation sets, respectively. Multivariable logistic regression analysis identified that tumor size, biliopancreatic duct dilatation, lymphadenopathy, and enhancement pattern were preoperative predictors of aggressiveness. Those variables were used to develop a nomogram with good concordance statistics of 0.89 and 0.86 for predicting aggressiveness in the training and validation sets, respectively. With a nomogram score of 59, patients with NF-pNETs were divided into low-aggressive and high-aggressive groups. The high-aggressive group had decreased overall survival (OS) and disease-free survival (DFS). Moreover, the nomogram showed good performance in predicting OS and DFS at 3, 5, and 10 years.
The nomogram integrating CT features helped preoperatively predict the aggressiveness of NF-pNETs and could potentially facilitate clinical decision-making.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>38232572</pmid><doi>10.1016/j.ejrad.2023.111284</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-3955-0686</orcidid></addata></record> |
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| subjects | Aggressiveness Computed tomography Humans Neoplasm Recurrence, Local - diagnostic imaging Neuroectodermal Tumors, Primitive Neuroendocrine Tumors - diagnostic imaging Neuroendocrine Tumors - pathology Neuroendocrine Tumors - surgery Nomograms Pancreatic Neoplasms - diagnostic imaging Pancreatic Neoplasms - pathology Pancreatic Neoplasms - surgery Pancreatic neuroendocrine tumors Preoperative Retrospective Studies Tomography, X-Ray Computed - methods |
| title | A nomogram to preoperatively predict the aggressiveness of non-functional pancreatic neuroendocrine tumors based on CT features |
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