P Lavaud1, B Fedida1, G Canlorbe2, S Bendifallah2, E Darai3, I Thomassin-Naggara4. 1. Service d'imagerie, institut universitaire de cancérologie, Sorbonne université, UPMC université Paris 06, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France. 2. Service de gynécologie et obstetrique, Sorbonne université, UPMC université Paris 06, institut universitaire de cancérologie, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France. 3. Service de gynécologie et obstetrique, Sorbonne université, UPMC université Paris 06, institut universitaire de cancérologie, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France; Inserm-UMR S938, faculté de médecine Pierre et Marie Curie, Site Saint-Antoine, 27, rue Chaligny, 75571 Paris cedex 12, France. 4. Service d'imagerie, institut universitaire de cancérologie, Sorbonne université, UPMC université Paris 06, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France. Electronic address: isabellethomassin@gmail.com.
Abstract
OBJECTIVE: To retrospectively investigate whether magnetic resonance imaging (MRI) findings could contribute to predict histologic type, tumor grade and lymphovascular space invasion (LVSI) to improve preoperative assessment of endometrial cancer using the European Society for Medical Oncology (ESMO) European Society for Radiotherapy & Oncology (ESTRO) and European Society of Gynecological Oncology (ESGO) classification. METHODS: Between January 2008 and August 2014, 104 women (mean age, 65±11 [SD] years; range, 32-84 years) with International Federation of Gynecology and Obstetrics (FIGO) stage I endometrial cancer underwent preoperative MRI of the pelvis. Two independent readers evaluated tumor heterogeneity and measured tumor size on T2-weighted, diffusion-weighted and T1-weighted images obtained after gadolinium chelate administration at 2minutes. The apparent diffusion coefficient (ADC) was generated from pixel ADC from the whole tumor volume. RESULTS: A short axis>24mm on MRI was associated with histopathologic type 2, grade 3 tumor and presence of LVSI (P<0.01). There were no significant differences in minimum, mean and maximum ADC between presence/absence of LVSI. In 9.1% women (9/99), the accuracy of the ESMO-ESGO-ESTRO classification with the inclusion of the MRI short-axis criterion was higher than that of the conventional ESMO classification to predict high-risk recurrence endometrial cancer (P=0.02). CONCLUSION: Tumor size reflects histologic type, tumor grade and LVSI in endometrial cancer. FIGO stage 1 endometrial cancer>24mm should be classified preoperatively in the high-intermediate or high-risk recurrence risk groups.
OBJECTIVE: To retrospectively investigate whether magnetic resonance imaging (MRI) findings could contribute to predict histologic type, tumor grade and lymphovascular space invasion (LVSI) to improve preoperative assessment of endometrial cancer using the European Society for Medical Oncology (ESMO) European Society for Radiotherapy & Oncology (ESTRO) and European Society of Gynecological Oncology (ESGO) classification. METHODS: Between January 2008 and August 2014, 104 women (mean age, 65±11 [SD] years; range, 32-84 years) with International Federation of Gynecology and Obstetrics (FIGO) stage I endometrial cancer underwent preoperative MRI of the pelvis. Two independent readers evaluated tumor heterogeneity and measured tumor size on T2-weighted, diffusion-weighted and T1-weighted images obtained after gadolinium chelate administration at 2minutes. The apparent diffusion coefficient (ADC) was generated from pixel ADC from the whole tumor volume. RESULTS: A short axis>24mm on MRI was associated with histopathologic type 2, grade 3 tumor and presence of LVSI (P<0.01). There were no significant differences in minimum, mean and maximum ADC between presence/absence of LVSI. In 9.1% women (9/99), the accuracy of the ESMO-ESGO-ESTRO classification with the inclusion of the MRI short-axis criterion was higher than that of the conventional ESMO classification to predict high-risk recurrence endometrial cancer (P=0.02). CONCLUSION:Tumor size reflects histologic type, tumor grade and LVSI in endometrial cancer. FIGO stage 1 endometrial cancer>24mm should be classified preoperatively in the high-intermediate or high-risk recurrence risk groups.