Dataset Information

Radiographic Features of a Benign Mixed Brenner Tumor and Mucinous Cystadenoma: A Rarely Identified Ovarian Neoplasm on Imaging.

ABSTRACT: Imaging features of benign mixed Brenner tumor and mucinous cystadenomas are rarely reported. This report aims to describe the case of a benign mixed Brenner tumor and mucinous cystadenoma with a dominant Brenner tumor component and to review the typical imaging features of this ovarian neoplasm.

SUBMITTER: Wilson MP

PROVIDER: S-EPMC7193213 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Radiographic Features of a Benign Mixed Brenner Tumor and Mucinous Cystadenoma: A Rarely Identified Ovarian Neoplasm on Imaging.

Wilson Mitchell P MP Katlariwala Prayash P Hwang June J Low Gavin G

Journal of clinical imaging science 20200427

Imaging features of benign mixed Brenner tumor and mucinous cystadenomas are rarely reported. This report aims to describe the case of a benign mixed Brenner tumor and mucinous cystadenoma with a dominant Brenner tumor component and to review the typical imaging features of this ovarian neoplasm. ...[more]

PMID: 32363084

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Project description:BackgroundTexture analysis of medical images has been reported to be a reliable method for differential diagnosis of neoplasms. This study was to investigate the performance of textural features and the combined performance of textural features and morphological characteristics in the differential diagnosis of pancreatic serous and mucinous cystadenomas.MethodsWe retrospectively reviewed 59 patients with pancreatic serous cystadenoma and 32 patients with pancreatic mucinous cystadenoma at our hospital. A three-dimensional region of interest (ROI) around the margin of the lesion was drawn manually in the CT images of each patient, and textural parameters were retrieved from the ROI. Textural features were extracted using the LifeX software. The least absolute shrinkage and selection operator (LASSO) method was applied to select the textural features. The differential diagnostic capabilities of morphological features, textural features, and their combination were evaluated using receiver operating characteristic (ROC) analysis, and the area under the receiver operating characteristic curve (AUC) was used as the main indicator. The diagnostic accuracy based on the AUC value is defined as follows: 0.9-1.0, excellent; 0.8-0.9, good; 0.7-0.8, moderate; 0.6-0.7, fair; 0.5-0.6, poor.ResultsIn the differential diagnosis of pancreatic serous and mucinous cystadenomas, the combination of morphological characteristics and textural features (AUC 0.893, 95% CI 0.816-0.970) is better than morphological characteristics (AUC 0.783, 95% CI 0.665-0.900) or textural features (AUC 0.777, 95% CI 0.673-0.880) alone.ConclusionsIn conclusion, our preliminary results highlighted the potential of CT texture analysis in discriminating pancreatic serous cystadenoma from mucinous cystadenoma. Furthermore, the combination of morphological characteristics and textural features can significantly improve the diagnostic performance, which may provide a reliable method for selecting patients with surgical intervention indications in consideration of the different treatment principles of the two diseases.

Dataset Information

Radiographic Features of a Benign Mixed Brenner Tumor and Mucinous Cystadenoma: A Rarely Identified Ovarian Neoplasm on Imaging.

Publications

Radiographic Features of a Benign Mixed Brenner Tumor and Mucinous Cystadenoma: A Rarely Identified Ovarian Neoplasm on Imaging.

Similar Datasets

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