Diffusion-weighted sequences have been routinely performed for years to study the pelvis. They have been so far mainly qualitatively interpreted, that is to say as the absence or presence of an hypersignal at a high b value. The quantitative analysis involves placing the region of interest (ROI) on the apparent diffusion coefficient (ADC) map. The manual placement is very operator dependent, and does not reflect the entirety of the studied mass. In all fields of Magnetic Resonance Imaging, a multiparametric approach integrating diffusion analysis is flourishing. However, the quantitative analysis of the diffusion is still little studied for tumor heterogeneity analysis, including in the gynecological sphere. The investigators will therefore retrospectively evaluate the apparent diffusion coefficient (ADC) histograms, extracted from the diffusion ponderation sequences, of the magnetic imaging resonance analysis of adnexal masses and confront the results with the anatomo-pathology results, for patients having undergone surgery, and/or with the clinical and imagery follow-up results. The investigators goal will be to improve the performance of conventional MRI in the analysis of adnexal masses. The expected benefits of this study are: * a correlation with the histology analysis or the clinical monitoring * an improved prediction of the malignancy of the tumor * an improved magnetic resonance imaging performance for adnexal masses, with better surgical therapeutic management * an improved negative predictive value, thereby ultimately limiting unnecessary surgical explorations.
Study Type
OBSERVATIONAL
Enrollment
126
Quantitative analysis of the magnetic resonance images realised with the Ingenia 3 Tesla Engine (Philips) and the Area 1,5 Tesla Engine (Siemens), based on the ADC cartography.The post-processing will be realized with the Syngo Onco Care application of Siemens, that allows an histogram analysis of the ADC of all sections of the adnexal mass, as opposed to a section per section approach with the Region of Interest (ROI) method. The results will be correlated with the clinical data regarding the adnexal mass: anatomo-pathology status (malignancy and aggressiveness of the tumor) and the gynecological follow-up.
CHU Brugmann
Brussels, Belgium
Apparent diffusion coefficient (ADC) of the adnexal mass volume (mm2/sec)
Apparent diffusion coefficient (ADC) expressed in mm2/sec. Magnetic resonance images realised with the Ingenia 3 Tesla Engine (Philips) and the Area 1,5 Tesla Engine (Siemens).Post-processing realized with the Syngo Onco Care application of Siemens.
Time frame: From 01/01/2015 till the end of study (2 years)
Anatomo-pathology classification - histological type
Follow-up of the patients that did undergo surgery: histological type of tumor. The histological type of the tumor will be determined by the Anatomo-Pathology Department of the CHU Brugmann hospital, according to standard of care.
Time frame: From 01/01/2015 till the end of study (2 years)
MRI Adnex score
Follow-up of the patients that did not undergo surgery: medical imaging classification of the adnexal mass (MRI Adnex score)
Time frame: From 01/01/2015 till the end of study (2 years)
IOTA ultrasound classification
Follow-up of the patients that did not undergo surgery: transvaginal ultrasound classification of the adnexal masse (IOTA ultrasound classification)
Time frame: From 01/01/2015 till the end of study (2 years)
Anatomo-pathology classification - malignancy grading of tumor
Follow-up of the patients that did undergo surgery: malignancy grading of the adnexal mass according to FIGO classification.
Time frame: From 01/01/2015 till the end of study (2 years)
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