Literature DB >> 21700995

Prospective evaluation of reader performance on MDCT in characterization of cystic pancreatic lesions and prediction of cyst biologic aggressiveness.

Dushyant V Sahani1, Nisha I Sainani, Michael A Blake, Stefano Crippa, Mari Mino-Kenudson, Carlos Fernandez del-Castillo.   

Abstract

OBJECTIVE: Our objective was to evaluate the accuracy of MDCT features of pancreatic cystic lesions in cyst characterization and in predicting cyst biologic aggressiveness. SUBJECTS AND METHODS: In this prospective study, 114 patients (40 men and 74 women; age range, 23-89 years) with 130 cystic lesions (size range, 31-160 mm) in the pancreas underwent contrast-enhanced dual-phase (n = 92) and portal phase (n = 22) examinations with 16- or 64-MDCT scanners. Using defined morphologic features of cystic lesions on MDCT, two readers performed blinded evaluations for cystic characterization and predicting biologic aggressiveness (invasive lesions, carcinoma in situ, and moderate grade dysplasias) before pancreatic surgery. Receiver operating characteristic analysis was performed to assess the accuracy of MDCT using pathologic evaluation of the surgical specimen as a reference standard.
RESULTS: On the basis of MDCT features, the radiologic accuracy (reader 1 and reader 2) for stratifying lesions into mucinous and nonmucinous subtypes was 85% and 82% and for recognizing cysts with aggressive biology was 86% and 85%, respectively. Predictive values of MDCT were superior for lesions > 30 mm and nonmucinous lesions. Features favoring aggressive biology were main pancreatic duct dilation > 10 mm (p < 0.0001), biliary obstruction (p=0.01), mural nodule (p < 0.0001), main-duct intraductal papillary mucinous neoplasm (p < 0.0001), and advanced age (p = 0.0001). Sensitivity of detecting morphologic features was higher with the dual-phase pancreatic protocol CT.
CONCLUSION: Morphologic features of pancreatic cystic lesions on MDCT allow reliable characterization into mucinous and nonmucinous subtypes and enable prediction of biologic aggressiveness.

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Mesh:

Year:  2011        PMID: 21700995     DOI: 10.2214/AJR.10.5866

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  30 in total

1.  Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble.

Authors:  Konstantin Dmitriev; Arie E Kaufman; Ammar A Javed; Ralph H Hruban; Elliot K Fishman; Anne Marie Lennon; Joel H Saltz
Journal:  Med Image Comput Comput Assist Interv       Date:  2017-09-04

2.  Characterization of pancreatic serous cystadenoma on dual-phase multidetector computed tomography.

Authors:  Linda C Chu; Aatur D Singhi; Ralph H Hruban; Elliot K Fishman
Journal:  J Comput Assist Tomogr       Date:  2014 Mar-Apr       Impact factor: 1.826

3.  Interobserver agreement for detection of malignant features of intraductal papillary mucinous neoplasms of the pancreas on MDCT.

Authors:  Richard K G Do; Seth S Katz; Marc J Gollub; Jian Li; Jennifer LaFemina; Emily C Zabor; Chaya S Moskowitz; David S Klimstra; Peter J Allen
Journal:  AJR Am J Roentgenol       Date:  2014-11       Impact factor: 3.959

Review 4.  [Branch duct intraductal papillary mucinous neoplasm - contra resection].

Authors:  M Brunner; G F Weber; S Kersting; Robert Grützmann
Journal:  Chirurg       Date:  2017-11       Impact factor: 0.955

5.  State-of-the-art PET/CT of the pancreas: current role and emerging indications.

Authors:  Dushyant V Sahani; Pietro A Bonaffini; Onofrio A Catalano; Alexander R Guimaraes; Michael A Blake
Journal:  Radiographics       Date:  2012 Jul-Aug       Impact factor: 5.333

Review 6.  Imaging modalities for characterising focal pancreatic lesions.

Authors:  Lawrence Mj Best; Vishal Rawji; Stephen P Pereira; Brian R Davidson; Kurinchi Selvan Gurusamy
Journal:  Cochrane Database Syst Rev       Date:  2017-04-17

Review 7.  Radiological Workup of Cystic Neoplasms of the Pancreas.

Authors:  Thomas L Bollen; Frank J Wessels
Journal:  Visc Med       Date:  2018-06-15

8.  Appropriate Interval for Imaging Follow-up of Small Simple Pancreatic Cysts.

Authors:  Jordan Menda; Maile E Yoon; Hyo-Chun Yoon
Journal:  Perm J       Date:  2017

9.  Intraductal Papillary Mucinous Neoplasms of the Pancreas: Strategic Considerations.

Authors:  Vicente Morales-Oyarvide; Zhi Ven Fong; Carlos Fernández-Del Castillo; Andrew L Warshaw
Journal:  Visc Med       Date:  2017-12-08

Review 10.  Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.

Authors:  Vipin Dalal; Joseph Carmicheal; Amaninder Dhaliwal; Maneesh Jain; Sukhwinder Kaur; Surinder K Batra
Journal:  Cancer Lett       Date:  2019-10-17       Impact factor: 8.679

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