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Whole solid tumor volume histogram parameters for predicting the recurrence in patients with epithelial ovarian carcinoma: a feasibility study on quantitative DCE-MRI.
Li, Hai Ming; Tang, Wei; Feng, Feng; Zhao, Shu Hui; Gu, Wei Yong; Zhang, Guo Fu; Qiang, Jin Wei.
Afiliación
  • Li HM; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, PR China.
  • Tang W; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR China.
  • Feng F; Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, PR China.
  • Zhao SH; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, PR China.
  • Gu WY; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR China.
  • Zhang GF; Department of Radiology, Nantong Cancer Hospital, Nantong University, Nantong, Jiangsu, PR China.
  • Qiang JW; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, PR China.
Acta Radiol ; 61(9): 1266-1276, 2020 Sep.
Article en En | MEDLINE | ID: mdl-31955611
BACKGROUND: Preoperative prediction of the recurrence of epithelial ovarian carcinoma (EOC) can guide the clinical treatment and improve the prognosis. However, there are still no reliable predictive biomarkers. PURPOSE: To evaluate whether whole solid tumor volume histogram parameters measured from quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict the recurrence in patients with EOC. MATERIAL AND METHODS: We followed up 56 patients with surgical and histopathologically diagnosed EOC who underwent quantitative DCE-MRI scans. The differences of the histogram parameters between patients with and without recurrence were compared. Mann-Whitney U test, Pearson's Chi-squared test, or Fisher's exact test, and receiver operating characteristic (ROC) curves were used for statistical analysis. RESULTS: All histogram parameters of Ktrans, kep, and ve were not significantly different between EOC patients with and without recurrence (P>0.05). For 30 patients with high-grade serous ovarian carcinoma (HGSOC), the histogram parameters of Ktrans (mean and 5th, 10th, 25th, 50th, 75th percentiles) and kep (mean and 50th percentile) in 12 patients with recurrence were significantly lower than those in 18 patients without recurrence (all P<0.05). ROC curves showed that the 5th percentile of Ktrans had the largest area under the curve (AUC) of 0.792 for predicting the recurrence in patients with HGSOC. When the threshold value was ≤0.0263/min, the sensitivity, specificity, and accuracy were 100%, 66.7%, and 80%, respectively. CONCLUSION: Instead of predicting the recurrence of EOC, whole solid tumor volume quantitative DCE-MRI histogram parameters could predict the recurrence of HGSOC and may be potential biomarkers for the prediction of HGSOC recurrence.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imagen por Resonancia Magnética / Carcinoma Epitelial de Ovario / Recurrencia Local de Neoplasia Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Acta Radiol Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imagen por Resonancia Magnética / Carcinoma Epitelial de Ovario / Recurrencia Local de Neoplasia Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Acta Radiol Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido