Staging MRI of uterine malignant mixed Müllerian tumors versus endometrial carcinomas with emphasis on dynamic enhancement characteristics.

Purpose: To determine whether staging pelvic magnetic resonance imaging (MRI) can distinguish malignant mixed Müllerian tumor (MMMT) from EC. Methods: Thirty-seven treatment-naïve patients with histologically proven uterine MMMT and 42 treatment-naïve patients with EC, treated at our institution, we...

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Publicado en:Abdominal Radiology Vol. 45; no. 4; pp. 1141 - 1155
Autores principales: Garza, Alheli, Elsherif, Sherif B., Faria, Silvana C., Sagebiel, Tara, Sun, Jia, Ma, Jingfei, Bhosale, Priya R.
Formato: Journal Article
Publicado: Springer Nature Apr2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2020
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-019-02096-y
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        atl: Staging MRI of uterine malignant mixed Müllerian tumors versus endometrial carcinomas with emphasis on dynamic enhancement characteristics.
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          Garza, Alheli
          Elsherif, Sherif B.
          Faria, Silvana C.
          Sagebiel, Tara
          Sun, Jia
          Ma, Jingfei
          Bhosale, Priya R.
        affil: Radiology Associates of North Texas, Dallas, TX, USA
      sug:
      ab: Purpose: To determine whether staging pelvic magnetic resonance imaging (MRI) can distinguish malignant mixed Müllerian tumor (MMMT) from EC. Methods: Thirty-seven treatment-naïve patients with histologically proven uterine MMMT and 42 treatment-naïve patients with EC, treated at our institution, were included in our retrospective study. Staging pelvic MRI scans were reviewed for tumor size, prolapse through cervical os, and other features. Time-intensity curves for tumor and surrounding myometrium regions of interest were generated, and positive enhancement integral (PEI), maximum slope of increase (MSI), and signal enhancement ratio (SER) were measured. The Fisher's exact test or Wilcoxon rank-sum test was used to compare characteristics between disease groups. Multivariate and univariate logistic regression models were used to distinguish MMMT from EC. Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate prediction ability. Results: MMMTs were larger than ECs with higher rate of tumor prolapse and more heterogeneous tumor enhancement compared to ECs. During the late phase of contrast enhancement, 100% of ECs, but only 84% of MMMTs, had lower signal intensity than the myometrium. Threshold PEI ratio ≥ 0.67 predict MMMT with 76% sensitivity, 84%, specificity and 0.83 AUC. Threshold SER ≤ 125 predict MMMT with 90% sensitivity, 50% specificity, and 0.72 AUC. Conclusion: MMMTs may show more frequent tumor prolapse, more heterogeneous enhancement, delayed iso- or hyper-enhancement, higher PEI ratios, and lower tumor SERs compared with EC. MRI can be used as a biomarker to distinguish MMMT from EC based on the enhancement pattern.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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