OBJECTIVE: To determine the ability of contrast-enhanced magnetic resonance imaging to predict myometrial invasion, cervical invasion, and pelvic lymph node metastasis in endometrial carcinoma and to analyze factors that lead to errors in this identification. DESIGN: A retrospective study. SETTING: University general hospital. POPULATION: A total of 167 women diagnosed with endometrial carcinoma. METHODS: All patients received a preoperative contrast-enhanced magnetic resonance imaging scan. Histopathological findings were used as the definitive diagnosis. MAIN OUTCOME MEASURES: The results were compared with histopathological findings, factors that make accurate assessment of myometrial invasion, cervical invasion, and pelvic lymph node metastasis difficult by contrast-enhanced magnetic resonance imaging were analyzed. RESULTS: The sensitivity, specificity, diagnostic accuracy, positive predictive values, and negative predictive values of contrast-enhanced magnetic resonance imaging were 90.9, 91.8, 91.6, 73.2 and 97.6%, respectively, for identifying deep myometrial invasion; 84.2, 96.0, 94.6, 72.7 and 97.9%, respectively, for identifying cervical invasion; and 45.0, 91.2, 85.6, 40.9 and 92.4%, respectively, for identifying pelvic lymph node metastasis. The main causes of error in contrast-enhanced magnetic resonance imaging were myomas, cornual lesions, deep myometrial invasion, large tumor size, non-endometrioid tumor type, and lower tumor grade. CONCLUSION: Contrast-enhanced magnetic resonance imaging has a high accuracy and a low tendency to produce false-negative predictive values. Gynecological oncologists should combine the imaging data and clinical information to make therapeutic decisions and avoid diagnostic errors.
OBJECTIVE: To determine the ability of contrast-enhanced magnetic resonance imaging to predict myometrial invasion, cervical invasion, and pelvic lymph node metastasis in endometrial carcinoma and to analyze factors that lead to errors in this identification. DESIGN: A retrospective study. SETTING: University general hospital. POPULATION: A total of 167 women diagnosed with endometrial carcinoma. METHODS: All patients received a preoperative contrast-enhanced magnetic resonance imaging scan. Histopathological findings were used as the definitive diagnosis. MAIN OUTCOME MEASURES: The results were compared with histopathological findings, factors that make accurate assessment of myometrial invasion, cervical invasion, and pelvic lymph node metastasis difficult by contrast-enhanced magnetic resonance imaging were analyzed. RESULTS: The sensitivity, specificity, diagnostic accuracy, positive predictive values, and negative predictive values of contrast-enhanced magnetic resonance imaging were 90.9, 91.8, 91.6, 73.2 and 97.6%, respectively, for identifying deep myometrial invasion; 84.2, 96.0, 94.6, 72.7 and 97.9%, respectively, for identifying cervical invasion; and 45.0, 91.2, 85.6, 40.9 and 92.4%, respectively, for identifying pelvic lymph node metastasis. The main causes of error in contrast-enhanced magnetic resonance imaging were myomas, cornual lesions, deep myometrial invasion, large tumor size, non-endometrioid tumor type, and lower tumor grade. CONCLUSION: Contrast-enhanced magnetic resonance imaging has a high accuracy and a low tendency to produce false-negative predictive values. Gynecological oncologists should combine the imaging data and clinical information to make therapeutic decisions and avoid diagnostic errors.
Authors: Casper Reijnen; Joanna IntHout; Leon F A G Massuger; Fleur Strobbe; Heidi V N Küsters-Vandevelde; Ingfrid S Haldorsen; Marc P L M Snijders; Johanna M A Pijnenborg Journal: Oncologist Date: 2019-06-11
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