Shinya Fujii1, Aki Kido2, Tsukasa Baba3, Koji Fujimoto4, Sayaka Daido4, Noriomi Matsumura3, Ikuo Konishi3, Kaori Togashi4. 1. Division of Radiology, Department of Pathophysiological and Therapeutic Science, Faculty of Medicine, Tottori University, Yonago, Japan; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan. 2. Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan. Electronic address: akikido@kuhp.kyoto-u.ac.jp. 3. Departments of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan. 4. Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Abstract
OBJECTIVES: To evaluate the diagnostic accuracy of subendometrial enhancement (SEE) in assessing the myometrial invasion in endometrial cancer, the frequency and clinical significance of peritumoral enhancement (PTE) on dynamic contrast enhanced (DCE) imaging. MATERIALS AND METHODS: MR images of 147 patients with endometrial cancer were retrospectively analyzed for intact SEE and PTEs: Type 1, a focal early enhancement peritumorally, and Type 2, an irregular thin-layered early intense enhancement peritumorally. Two radiologists independently assessed intact SEE and PTEs on DCE imaging and compared the lesions by the presence and depth of myometrial invasion, grade, lymphovascular space involvement (LVSI), and lymph node metastasis. The relationship between SEE, PTEs, and each factor was analyzed using univariate and multivariate analyses. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were calculated for SEE. RESULTS: The sensitivity, specificity, PPV, NPV and diagnostic accuracy for myometrial invasion based on SEE disruption on DCE were 96.6%, 32.1-46.4%, 85.8-88.5%, 69.2-76.5%, and 84.4-87.1%. According to multivariate analysis, SEE significantly predicted myometrial invasion (p<0.0001). PTE Type 2 significantly predicted myometrial invasion presence (p<0.05) and depth (p<0.01). CONCLUSION: Diagnosis of myometrial invasion only by using SEE might be difficult on DCE-MRI due to the overestimation by strong focal enhancement of PTE Type 1. PTE Type 2 correlates both with the presence and depth of myometrial invasion and also may play an important role in the diagnosis of LVSI.
OBJECTIVES: To evaluate the diagnostic accuracy of subendometrial enhancement (SEE) in assessing the myometrial invasion in endometrial cancer, the frequency and clinical significance of peritumoral enhancement (PTE) on dynamic contrast enhanced (DCE) imaging. MATERIALS AND METHODS: MR images of 147 patients with endometrial cancer were retrospectively analyzed for intact SEE and PTEs: Type 1, a focal early enhancement peritumorally, and Type 2, an irregular thin-layered early intense enhancement peritumorally. Two radiologists independently assessed intact SEE and PTEs on DCE imaging and compared the lesions by the presence and depth of myometrial invasion, grade, lymphovascular space involvement (LVSI), and lymph node metastasis. The relationship between SEE, PTEs, and each factor was analyzed using univariate and multivariate analyses. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were calculated for SEE. RESULTS: The sensitivity, specificity, PPV, NPV and diagnostic accuracy for myometrial invasion based on SEE disruption on DCE were 96.6%, 32.1-46.4%, 85.8-88.5%, 69.2-76.5%, and 84.4-87.1%. According to multivariate analysis, SEE significantly predicted myometrial invasion (p<0.0001). PTE Type 2 significantly predicted myometrial invasion presence (p<0.05) and depth (p<0.01). CONCLUSION: Diagnosis of myometrial invasion only by using SEE might be difficult on DCE-MRI due to the overestimation by strong focal enhancement of PTE Type 1. PTE Type 2 correlates both with the presence and depth of myometrial invasion and also may play an important role in the diagnosis of LVSI.
Authors: Sinead H McEvoy; Stephanie Nougaret; Nadeem R Abu-Rustum; Hebert Alberto Vargas; Elizabeth A Sadowski; Christine O Menias; Fuki Shitano; Shinya Fujii; Ramon E Sosa; Joanna G Escalon; Evis Sala; Yulia Lakhman Journal: Abdom Radiol (NY) Date: 2017-10
Authors: Nicole Concin; Carien L Creutzberg; Ignace Vergote; David Cibula; Mansoor Raza Mirza; Simone Marnitz; Jonathan A Ledermann; Tjalling Bosse; Cyrus Chargari; Anna Fagotti; Christina Fotopoulou; Antonio González-Martín; Sigurd F Lax; Domenica Lorusso; Christian Marth; Philippe Morice; Remi A Nout; Dearbhaile E O'Donnell; Denis Querleu; Maria Rosaria Raspollini; Jalid Sehouli; Alina E Sturdza; Alexandra Taylor; Anneke M Westermann; Pauline Wimberger; Nicoletta Colombo; François Planchamp; Xavier Matias-Guiu Journal: Virchows Arch Date: 2021-02 Impact factor: 4.064