Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review.

ABSTRACT:

Objectives

Different noninvasive imaging methods to predict the chance of malignancy of ovarian tumors are available. However, their predictive value is limited due to subjectivity of the reviewer. Therefore, more objective prediction models are needed. Computer-aided diagnostics (CAD) could be such a model, since it lacks bias that comes with currently used models. In this study, we evaluated the available data on CAD in predicting the chance of malignancy of ovarian tumors.

Methods

We searched for all published studies investigating diagnostic accuracy of CAD based on ultrasound, CT and MRI in pre-surgical patients with an ovarian tumor compared to reference standards.

Results

In thirty-one included studies, extracted features from three different imaging techniques

SUBMITTER: Koch AH 

PROVIDER: S-EPMC9931983 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature