M A Mazzei1, N Cioffi Squitieri2, C Vindigni3, S Guerrini4, F Gentili5, G Sadotti1, P Mercuri1, L Righi6, G Lucii1, F G Mazzei5, D Marrelli7, L Volterrani1. 1. Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Viale Bracci 10, 53100, Siena, Italy. 2. Department of Diagnostic Imaging and Laboratory Medicine, Diagnostic Imaging Unit, Azienda USL Toscana SUD-EST, Misericordia Hospital, 58100, Grosseto, Italy. 3. Division of Pathology, Azienda Ospedaliera Universitaria Senese, Viale Bracci 10, 53100, Siena, Italy. 4. Department of Diagnostic Imaging and Laboratory Medicine, Diagnostic Imaging Unit, Azienda USL Toscana SUD-EST, Misericordia Hospital, 58100, Grosseto, Italy. guerrinisus@gmail.com. 5. Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Viale Bracci 10, 53100, Siena, Italy. 6. Department of Molecular and Developmental Medicine, University of Siena, Azienda Ospedaliera Universitaria Senese, Via Aldo Moro 2, 53100, Siena, Italy. 7. Unit of General Surgery and Surgical Oncology, Azienda Ospedaliera Universitaria Senese, University of Siena, Viale Bracci 10, 53100, Siena, Italy.
Abstract
PURPOSE: To identify the predictors of malignancy on CT for the evaluation of gastrointestinal stromal tumors (GIST) by correlating CT findings with the mitotic index in order to propose a "CT-based predictive model of Miettinen index." METHODS: One radiologist and one resident in radiology with 14- and 4-year experience in oncological field reviewed the CT findings of 42 patients by consensus, with respect to lesion site, size, contour, tumor growth pattern, enhancing pattern, degree of enhancement of tumor, percentage of tumor necrosis, mesenteric fat infiltration, ulceration, calcification, regional lymphadenopathy, direct invasion to adjacent organs, and distant metastasis. All parameters were correlated with the mitotic index evaluated at histopathological analysis following surgery. Normality of variables was evaluated using Shapiro-Wilk test. Pearson's correlation test was used to assess the interaction between variables. The diagnostic accuracy percentage of tumor necrosis was measured by receiver operating characteristic (ROC) analysis for detecting whether the number of mitosis per 50 high-power fields was > 5. RESULTS: A significant statistical correlation was found between percentage of tumor necrosis and the mitotic index (p < 0.005), dimension, and location of the tumor. CONCLUSION: CT could be an accurate technique in the prediction of malignancy of GIST in a CT risk assessment system, based on the location of the tumor, its size, and the percentage of tumor necrosis.
PURPOSE: To identify the predictors of malignancy on CT for the evaluation of gastrointestinal stromal tumors (GIST) by correlating CT findings with the mitotic index in order to propose a "CT-based predictive model of Miettinen index." METHODS: One radiologist and one resident in radiology with 14- and 4-year experience in oncological field reviewed the CT findings of 42 patients by consensus, with respect to lesion site, size, contour, tumor growth pattern, enhancing pattern, degree of enhancement of tumor, percentage of tumor necrosis, mesenteric fat infiltration, ulceration, calcification, regional lymphadenopathy, direct invasion to adjacent organs, and distant metastasis. All parameters were correlated with the mitotic index evaluated at histopathological analysis following surgery. Normality of variables was evaluated using Shapiro-Wilk test. Pearson's correlation test was used to assess the interaction between variables. The diagnostic accuracy percentage of tumor necrosis was measured by receiver operating characteristic (ROC) analysis for detecting whether the number of mitosis per 50 high-power fields was > 5. RESULTS: A significant statistical correlation was found between percentage of tumor necrosis and the mitotic index (p < 0.005), dimension, and location of the tumor. CONCLUSION: CT could be an accurate technique in the prediction of malignancy of GIST in a CT risk assessment system, based on the location of the tumor, its size, and the percentage of tumor necrosis.
Entities:
Keywords:
Computed tomography; Gastric GIST; Gastrointestinal stromal tumor; Mitotic index
Authors: Maria Antonietta Mazzei; Giulio Bagnacci; Francesco Gentili; Iacopo Capitoni; Gianni Mura; Daniele Marrelli; Roberto Petrioli; Luca Brunese; Salvatore Cappabianca; Marco Catarci; Maurizio Degiuli; Giovanni De Manzoni; Marco De Prizio; Annibale Donini; Uberto Fumagalli Romario; Luigi Funicelli; Andrea Laghi; Giuseppe Minetti; Paolo Morgagni; Enrico Petrella; Frida Pittiani; Stefano Rausei; Laura Romanini; Riccardo Rosati; Amato Antonio Stabile Ianora; Guido A M Tiberio; Luca Volterrani; Franco Roviello; Roberto Grassi Journal: Eur Radiol Date: 2021-08-12 Impact factor: 5.315