1. Comparison of imaging-based and pathological dimensions in pancreatic neuroendocrine tumors
- Author
-
Riccardo De Robertis, Marco Miotto, Roberto Salvia, Mirko D'Onofrio, Giovanni Butturini, Antonio Amodio, Anna Malpaga, Luca Landoni, Maria Vittoria Davì, Harmony Impellizzeri, Aldo Scarpa, Elisabetta Zanolin, Sara Cingarlini, Salvatore Paiella, Paola Capelli, Borislav Rusev, Claudio Bassi, and Giovanni Marchegiani
- Subjects
Adult ,Male ,Pathology ,medicine.medical_specialty ,Pancreatic neoplasms ,Intestinal Neoplasm ,Neuroendocrine tumors ,Tertiary Care Centers ,03 medical and health sciences ,Magnetic resonance imaging ,0302 clinical medicine ,Stomach Neoplasms ,Retrospective Study ,Intestinal Neoplasms ,medicine ,Medical imaging ,Humans ,Prospective Studies ,Prospective cohort study ,Pancreas ,Pathological ,Aged ,Retrospective Studies ,Diagnostic imaging ,Pathological dimensions ,Aged, 80 and over ,medicine.diagnostic_test ,business.industry ,Gastroenterology ,Retrospective cohort study ,General Medicine ,Middle Aged ,medicine.disease ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Feasibility Studies ,Female ,030211 gastroenterology & hepatology ,Tomography, X-Ray Computed ,business - Abstract
AIM To establish the ability of magnetic resonance (MR) and computer tomography (CT) to predict pathologic dimensions of pancreatic neuroendocrine tumors (PanNET) in a caseload of a tertiary referral center. METHODS Patients submitted to surgery for PanNET at the Surgical Unit of the Pancreas Institute with at least 1 preoperative imaging examination (MR or CT scan) from January 2005 to December 2015 were included and data retrospectively collected. Exclusion criteria were: multifocal lesions, genetic syndromes, microadenomas or mixed tumors, metastatic disease and neoadjuvant therapy. Bland-Altman (BA) and Mountain-Plot (MP) statistics were used to compare size measured by each modality with the pathology size. Passing-Bablok (PB) regression analysis was used to check the agreement between MR and CT. RESULTS Our study population consisted of 292 patients. Seventy-nine (27.1%) were functioning PanNET. The mean biases were 0.17 ± 7.99 mm, 1 ± 8.51 mm and 0.23 ± 9 mm, 1.2 ± 9.8 mm for MR and CT, considering the overall population and the subgroup of non-functioning- PanNET, respectively. Limits of agreement (LOA) included the vast majority of observations, indicating a good agreement between imaging and pathology. The MP further confirmed this finding and showed that the two methods are unbiased with respect to each other. Considering ≤ 2 cm non-functioning-PanNET, no statistical significance was found in the size estimation rate of MR and CT (P = 0.433). PBR analysis did not reveal significant differences between MR, CT and pathology. CONCLUSION MR and CT scan are accurate and interchangeable imaging techniques in predicting pathologic dimensions of PanNET.
- Published
- 2017
- Full Text
- View/download PDF