Literature DB >> 31932878

Performance of CT-based radiomics in diagnosis of superior mesenteric vein resection margin in patients with pancreatic head cancer.

Yun Bian1, Hui Jiang2, Chao Ma1, Kai Cao1, Xu Fang1, Jing Li1, Li Wang1, Jianming Zheng2, Jianping Lu3.   

Abstract

OBJECTIVES: To accurately identify the relationship between a portal radiomics score (rad-score) and pathologic superior mesenteric vein (SMV) resection margin and to evaluate the diagnostic performance in patients with pancreatic head cancer.
MATERIALS AND METHODS: A total of 181 patients with postoperatively and pathologically confirmed pancreatic head cancer who underwent multislice computed tomography within one month of resection between January 2016 and December 2018 were retrospectively investigated. For each patient, 1029 radiomics features of the portal phase were extracted, which were reduced using the least absolute shrinkage and selection operator (LASSO) logistic regression algorithm. Multivariate logistic regression models were used to analyze the association between the portal rad-score and SMV resection margin.
RESULTS: Patients with negative (R0) and positive (R1) margins accounted for 70.17% (127) and 29.83% (54) of the cohort, respectively. The rad-score was significantly associated with the SMV resection margin status (p < 0.05). Multivariate analyses confirmed a significant and independent association between the portal rad-score and SMV resection margin (OR 4.62; 95% CI 2.19-9.76; p < 0.0001). The portal rad-score had high accuracy (area under the curve = 0.750). The best cut point based on maximizing the sum of sensitivity and specificity was - 0.741 (sensitivity = 64.8%; specificity = 74.0%; accuracy = 71.3%). Decision curve analysis indicated the clinical usefulness of radiomics score.
CONCLUSIONS: The portal rad-score is significantly associated with the pathologic SMV resection margin, and it can accurately and noninvasively predict the SMV resection margin in patients with pancreatic cancer.

Entities:  

Keywords:  CT; Pancreatic cancer; Radiomics; Resection margin

Mesh:

Substances:

Year:  2020        PMID: 31932878     DOI: 10.1007/s00261-019-02401-9

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  22 in total

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2.  NCCN Guidelines Updates: Pancreatic Cancer.

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3.  A new approach for evaluating the resectability of pancreatic and periampullary neoplasms.

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Review 4.  Radiomics: the process and the challenges.

Authors:  Virendra Kumar; Yuhua Gu; Satrajit Basu; Anders Berglund; Steven A Eschrich; Matthew B Schabath; Kenneth Forster; Hugo J W L Aerts; Andre Dekker; David Fenstermacher; Dmitry B Goldgof; Lawrence O Hall; Philippe Lambin; Yoganand Balagurunathan; Robert A Gatenby; Robert J Gillies
Journal:  Magn Reson Imaging       Date:  2012-08-13       Impact factor: 2.546

5.  Neoadjuvant modified (m) FOLFIRINOX for locally advanced unresectable (LAPC) and borderline resectable (BRPC) adenocarcinoma of the pancreas.

Authors:  Marlo Blazer; Christina Wu; Richard M Goldberg; Gary Phillips; Carl Schmidt; Peter Muscarella; Evan Wuthrick; Terrence M Williams; Joshua Reardon; E Christopher Ellison; Mark Bloomston; Tanios Bekaii-Saab
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6.  R1 resection in pancreatic cancer has significant impact on long-term outcome in standardized pathology modified for routine use.

Authors:  Bettina M Rau; Katharina Moritz; Sarah Schuschan; Guido Alsfasser; Friedrich Prall; Ernst Klar
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Authors:  Philippe Lambin; Emmanuel Rios-Velazquez; Ralph Leijenaar; Sara Carvalho; Ruud G P M van Stiphout; Patrick Granton; Catharina M L Zegers; Robert Gillies; Ronald Boellard; André Dekker; Hugo J W L Aerts
Journal:  Eur J Cancer       Date:  2012-01-16       Impact factor: 9.162

8.  Pancreatic Adenocarcinoma, Version 1.2019.

Authors:  Margaret A Tempero; Mokenge P Malafa; E Gabriela Chiorean; Brian Czito; Courtney Scaife; Amol K Narang; Christos Fountzilas; Brian M Wolpin; Mahmoud Al-Hawary; Horacio Asbun; Stephen W Behrman; Al B Benson; Ellen Binder; Dana B Cardin; Charles Cha; Vincent Chung; Mary Dillhoff; Efrat Dotan; Cristina R Ferrone; George Fisher; Jeffrey Hardacre; William G Hawkins; Andrew H Ko; Noelle LoConte; Andrew M Lowy; Cassadie Moravek; Eric K Nakakura; Eileen M O'Reilly; Jorge Obando; Sushanth Reddy; Sarah Thayer; Robert A Wolff; Jennifer L Burns; Griselda Zuccarino-Catania
Journal:  J Natl Compr Canc Netw       Date:  2019-03-01       Impact factor: 11.908

9.  Pancreatic ductal adenocarcinoma: is there a survival difference for R1 resections versus locally advanced unresectable tumors? What is a "true" R0 resection?

Authors:  Ioannis T Konstantinidis; Andrew L Warshaw; Jill N Allen; Lawrence S Blaszkowsky; Carlos Fernandez-Del Castillo; Vikram Deshpande; Theodore S Hong; Eunice L Kwak; Gregory Y Lauwers; David P Ryan; Jennifer A Wargo; Keith D Lillemoe; Cristina R Ferrone
Journal:  Ann Surg       Date:  2013-04       Impact factor: 12.969

Review 10.  Pancreatic cancer.

Authors:  Terumi Kamisawa; Laura D Wood; Takao Itoi; Kyoichi Takaori
Journal:  Lancet       Date:  2016-01-30       Impact factor: 79.321

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  4 in total

1.  Preoperative recurrence prediction in pancreatic ductal adenocarcinoma after radical resection using radiomics of diagnostic computed tomography.

Authors:  Xiawei Li; Yidong Wan; Jianyao Lou; Lei Xu; Aiguang Shi; Litao Yang; Yiqun Fan; Jing Yang; Junjie Huang; Yulian Wu; Tianye Niu
Journal:  EClinicalMedicine       Date:  2021-12-03

Review 2.  The impact of radiomics in diagnosis and staging of pancreatic cancer.

Authors:  Calogero Casà; Antonio Piras; Andrea D'Aviero; Francesco Preziosi; Silvia Mariani; Davide Cusumano; Angela Romano; Ivo Boskoski; Jacopo Lenkowicz; Nicola Dinapoli; Francesco Cellini; Maria Antonietta Gambacorta; Vincenzo Valentini; Gian Carlo Mattiucci; Luca Boldrini
Journal:  Ther Adv Gastrointest Endosc       Date:  2022-03-16

Review 3.  Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications.

Authors:  Kiersten Preuss; Nate Thach; Xiaoying Liang; Michael Baine; Justin Chen; Chi Zhang; Huijing Du; Hongfeng Yu; Chi Lin; Michael A Hollingsworth; Dandan Zheng
Journal:  Cancers (Basel)       Date:  2022-03-24       Impact factor: 6.639

Review 4.  Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging.

Authors:  Megan Schuurmans; Natália Alves; Pierpaolo Vendittelli; Henkjan Huisman; John Hermans
Journal:  Cancers (Basel)       Date:  2022-07-19       Impact factor: 6.575

  4 in total

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