Literature DB >> 25818077

Sendai and Fukuoka Consensus Guidelines Identify Advanced Neoplasia in Patients With Suspected Mucinous Cystic Neoplasms of the Pancreas.

Pavlos Kaimakliotis1, Brian Riff1, Kamron Pourmand2, Vinay Chandrasekhara1, Emma E Furth3, Evan S Siegelman4, Jeffery Drebin5, Charles M Vollmer5, Michael L Kochman1, Gregory G Ginsberg1, Nuzhat A Ahmad6.   

Abstract

BACKGROUND & AIMS: Little is known about whether the 2006 Sendai guidelines or 2012 Fukuoka guidelines are being used to determine the level of risk posed by suspected pancreatic mucinous cystic neoplasms (PCNs). We evaluated whether the guidelines accurately predicted which patients with suspected PCNs, which was based on cross-sectional imaging findings, would be found to have advanced neoplasia in surgery.
METHODS: We performed a retrospective study of data collected from 194 patients with cystic lesions of the pancreas, which were assessed by cross-sectional imaging analyses, who underwent surgery for suspected PCNs at the Hospital at the University of Pennsylvania from 2000 through 2008. Imaging data were used to classify patients according to the Sendai guidelines as high risk or low risk and according to the Fukuoka guidelines as high risk, worrisome, or low risk. Pathology analyses of samples collected during surgery were used as the reference. A logistic regression model was created to identify factors associated with advanced neoplasia. The Sendai and Fukuoka guideline criteria were analyzed by univariate and multivariable logistic regression analyses.
RESULTS: Advanced neoplasias were found in 36 patients (18.5%; 22 invasive cancers and 14 high-grade dysplasias). The median size of cysts was 33 mm. All patients found to have invasive cancers were accurately assigned to the Sendai guidelines high risk or Fukuoka guidelines high risk groups. However, 3 patients in the Sendai guidelines low risk and 2 patients in the Fukuoka guidelines low risk groups were found to have high-grade dysplasia. The Sendai guidelines identified patients with advanced neoplasia with 91.7% sensitivity, 21.5% specificity, 21% positive predictive value, and 91.9% negative predictive value. A designation of Fukuoka guidelines high risk identified patients with advanced neoplasia with 55.6% sensitivity, 73% specificity, 32% positive predictive value, and 87.9% negative predictive value. Overall, there was no statistically significant difference between the guidelines in predicting which patients had advanced neoplasia. On multivariate analysis, the presence of a mural nodule (odds ratio [OR], 2.88; 95% confidence interval [CI], 1.33-6.27; P = .008), dilated main pancreatic duct >10 mm (OR, 7.44; 95% CI, 2.36-23.52; P = .001), or enhancing solid component (OR, 2.92; 95% CI, 1.16-7.64; P = .02) were associated with detection of advanced neoplasia in pancreatic cysts.
CONCLUSION: On the basis of a retrospective analysis, the Sendai and Fukuoka guidelines accurately determine which patients with pancreatic cysts have advanced neoplasia. The guidelines accurately recommended surgical resection for all patients found to have invasive cancer, although some patients with high-grade dysplasia were missed. The updated Fukuoka guidelines are not superior to the Sendai guidelines in identifying neoplasias. Cyst size was not associated with advanced neoplasia.
Copyright © 2015 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT; Diagnosis; MRI; Pancreatic Cancer Detection; Risk Stratification

Mesh:

Year:  2015        PMID: 25818077     DOI: 10.1016/j.cgh.2015.03.017

Source DB:  PubMed          Journal:  Clin Gastroenterol Hepatol        ISSN: 1542-3565            Impact factor:   11.382


  15 in total

Review 1.  Novel Biomarkers for Pancreatic Cysts.

Authors:  Harkirat Singh; Kevin McGrath; Aatur D Singhi
Journal:  Dig Dis Sci       Date:  2017-02-14       Impact factor: 3.199

2.  Fukuoka and AGA Criteria Have Superior Diagnostic Accuracy for Advanced Cystic Neoplasms than Sendai Criteria.

Authors:  Michael Sighinolfi; Susan Y Quan; Yvonne Lee; Alvaro Ibaseta; Kimberly Pham; Monica M Dua; George A Poultsides; Brendan C Visser; Jeffery A Norton; Walter G Park
Journal:  Dig Dis Sci       Date:  2017-01-23       Impact factor: 3.199

Review 3.  Imaging Pancreatic Cysts with CT and MRI.

Authors:  R Brooke Jeffrey
Journal:  Dig Dis Sci       Date:  2017-02-20       Impact factor: 3.199

Review 4.  Pancreatic Cysts in the Elderly.

Authors:  Luis F Lara; Anjuli Luthra; Darwin L Conwell; Somashekar G Krishna
Journal:  Curr Treat Options Gastroenterol       Date:  2019-12

Review 5.  Pancreatic Cysts and Guidelines.

Authors:  James J Farrell
Journal:  Dig Dis Sci       Date:  2017-05-20       Impact factor: 3.199

6.  Novel Methylated DNA Markers Discriminate Advanced Neoplasia in Pancreatic Cysts: Marker Discovery, Tissue Validation, and Cyst Fluid Testing.

Authors:  Shounak Majumder; William R Taylor; Tracy C Yab; Calise K Berger; Brian A Dukek; Xiaoming Cao; Patrick H Foote; Chung Wah Wu; Douglas W Mahoney; Harry R Aslanian; Carlos Fernández-Del Castillo; Leona A Doyle; James J Farrell; William E Fisher; Linda S Lee; Yvonne N Lee; Walter Park; Clifton Rodrigues; Bonnie Elyssa Gould Rothberg; Ronald R Salem; Diane M Simeone; Sumithra Urs; George Van Buren; Thomas C Smyrk; Hatim T Allawi; Graham P Lidgard; Massimo Raimondo; Suresh T Chari; Michael L Kendrick; John B Kisiel; Mark D Topazian; David A Ahlquist
Journal:  Am J Gastroenterol       Date:  2019-09       Impact factor: 10.864

Review 7.  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 8.  Application of Artificial Intelligence in the Management of Pancreatic Cystic Lesions.

Authors:  Shiva Rangwani; Devarshi R Ardeshna; Brandon Rodgers; Jared Melnychuk; Ronald Turner; Stacey Culp; Wei-Lun Chao; Somashekar G Krishna
Journal:  Biomimetics (Basel)       Date:  2022-06-14

Review 9.  Surveillance of Cystic Lesions of the Pancreas: Whom and How to Survey?

Authors:  Stefano Andrianello; Massimo Falconi; Roberto Salvia; Stefano Crippa; Giovanni Marchegiani
Journal:  Visc Med       Date:  2018-06-13

10.  The Ratio of C-Reactive Protein to Albumin Is an Independent Predictor of Malignant Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Authors:  Simone Serafini; Alberto Friziero; Cosimo Sperti; Lorenzo Vallese; Andrea Grego; Alfredo Piangerelli; Amanda Belluzzi; Lucia Moletta
Journal:  J Clin Med       Date:  2021-05-11       Impact factor: 4.241

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