Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer
Abstract Background Pancreatic adenocarcinoma is often diagnosed at an advanced stage when adjacent vascular invasion is present. Accurate evaluation of presence of vascular invasion can help guide therapy. The aim of this study was to construct a nomogram for preoperative prediction of peripancreat...
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| Format: | Article |
| Language: | English |
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BMC
2018-12-01
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| Series: | Cancer Imaging |
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| Online Access: | http://link.springer.com/article/10.1186/s40644-018-0179-z |
| _version_ | 1818432784761356288 |
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| author | Yi-Nan Shen Cheng-Xiang Guo Yao Pan Yi-Wen Chen Tian-Yu Tang Yu-Wei Li Jun-Hua Lu Gang Jin Ren-Yi Qin Wei-Yun Yao Ting-Bo Liang Xue-Li Bai |
| author_facet | Yi-Nan Shen Cheng-Xiang Guo Yao Pan Yi-Wen Chen Tian-Yu Tang Yu-Wei Li Jun-Hua Lu Gang Jin Ren-Yi Qin Wei-Yun Yao Ting-Bo Liang Xue-Li Bai |
| author_sort | Yi-Nan Shen |
| collection | DOAJ |
| description | Abstract Background Pancreatic adenocarcinoma is often diagnosed at an advanced stage when adjacent vascular invasion is present. Accurate evaluation of presence of vascular invasion can help guide therapy. The aim of this study was to construct a nomogram for preoperative prediction of peripancreatic vein invasion in patients with pancreatic head cancer. Study design Data of patients with carcinoma head of pancreas and suspected peripancreatic invasion (n = 247) who underwent pancreatic resection with venous reconstruction between January 2012 and January 2017 at four academic institutions were retrospectively analyzed. Univariate and multivariate analyses were used to identify independent risk factors for vein invasion from among demographic, biological, conditional host-related, and anatomical data. A predictive nomogram was constructed based on the identified independent risk factors. Results The nomogram was constructed using data from 181 patients while the validation cohort consisted of 66 patients. Length of tumor contact (P = 0.031), circumferential vein involvement (P = 0.048), and venous contour abnormalities (P = 0.001) were independent predictors of venous invasion. The C-index of the model in predicting venous invasion was 0.963 for the external validation cohort. Patients could be assigned into low- (< 50%), intermediate- (50–90%), and high-risk (> 90%) groups based on the nomogram to facilitate personalized management. Conclusions Vein invasion by pancreatic head cancer is mainly associated with anatomical factors. The nomogram for prediction of vein invasion was found to be practicable. |
| first_indexed | 2024-12-14T16:10:42Z |
| format | Article |
| id | doaj.art-84a1636a7fca4e7c99b0ce9d5e631f1a |
| institution | Directory Open Access Journal |
| issn | 1470-7330 |
| language | English |
| last_indexed | 2024-12-14T16:10:42Z |
| publishDate | 2018-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Imaging |
| spelling | doaj.art-84a1636a7fca4e7c99b0ce9d5e631f1a2022-12-21T22:55:00ZengBMCCancer Imaging1470-73302018-12-0118111010.1186/s40644-018-0179-zPreoperative prediction of peripancreatic vein invasion by pancreatic head cancerYi-Nan Shen0Cheng-Xiang Guo1Yao Pan2Yi-Wen Chen3Tian-Yu Tang4Yu-Wei Li5Jun-Hua Lu6Gang Jin7Ren-Yi Qin8Wei-Yun Yao9Ting-Bo Liang10Xue-Li Bai11Department of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of MedicineDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of MedicineZhejiang Provincial Key Laboratory of Pancreatic DiseaseDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of MedicineDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of MedicineDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of MedicineThe 5th Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, the Second Military Medical UniversityDepartment of General Surgery, Changhai Hospital, the Second Military Medical UniversityDepartment of Pancreatic-Biliary Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of General Surgery, The People’s Hospital of Changxing CountyDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of MedicineDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital, Zhejiang University School of MedicineAbstract Background Pancreatic adenocarcinoma is often diagnosed at an advanced stage when adjacent vascular invasion is present. Accurate evaluation of presence of vascular invasion can help guide therapy. The aim of this study was to construct a nomogram for preoperative prediction of peripancreatic vein invasion in patients with pancreatic head cancer. Study design Data of patients with carcinoma head of pancreas and suspected peripancreatic invasion (n = 247) who underwent pancreatic resection with venous reconstruction between January 2012 and January 2017 at four academic institutions were retrospectively analyzed. Univariate and multivariate analyses were used to identify independent risk factors for vein invasion from among demographic, biological, conditional host-related, and anatomical data. A predictive nomogram was constructed based on the identified independent risk factors. Results The nomogram was constructed using data from 181 patients while the validation cohort consisted of 66 patients. Length of tumor contact (P = 0.031), circumferential vein involvement (P = 0.048), and venous contour abnormalities (P = 0.001) were independent predictors of venous invasion. The C-index of the model in predicting venous invasion was 0.963 for the external validation cohort. Patients could be assigned into low- (< 50%), intermediate- (50–90%), and high-risk (> 90%) groups based on the nomogram to facilitate personalized management. Conclusions Vein invasion by pancreatic head cancer is mainly associated with anatomical factors. The nomogram for prediction of vein invasion was found to be practicable.http://link.springer.com/article/10.1186/s40644-018-0179-zPancreatic neoplasmsPancreaticoduodenectomyRisk factors |
| spellingShingle | Yi-Nan Shen Cheng-Xiang Guo Yao Pan Yi-Wen Chen Tian-Yu Tang Yu-Wei Li Jun-Hua Lu Gang Jin Ren-Yi Qin Wei-Yun Yao Ting-Bo Liang Xue-Li Bai Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer Cancer Imaging Pancreatic neoplasms Pancreaticoduodenectomy Risk factors |
| title | Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer |
| title_full | Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer |
| title_fullStr | Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer |
| title_full_unstemmed | Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer |
| title_short | Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer |
| title_sort | preoperative prediction of peripancreatic vein invasion by pancreatic head cancer |
| topic | Pancreatic neoplasms Pancreaticoduodenectomy Risk factors |
| url | http://link.springer.com/article/10.1186/s40644-018-0179-z |
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