Decoding incidental ovarian lesions: use of texture analysis and machine learning for characterization and detection of malignancy
Sign Up to like & getrecommendations! Published in 2020 at "Abdominal Radiology"
DOI: 10.1007/s00261-020-02668-3
Abstract: To compare CT texture features of benign and malignant ovarian lesions and to build a machine learning model to detect malignancy in incidental ovarian lesions. In this IRB-approved, HIPAA-compliant, retrospective study, 427 consecutive patients with… read more here.
Keywords: machine learning; ovarian lesions; sensitivity; incidental ovarian ... See more keywords
The Abnormal Ovary: Evolving Concepts in Diagnosis and Management.
Sign Up to like & getrecommendations! Published in 2019 at "Obstetrics and gynecology clinics of North America"
DOI: 10.1016/j.ogc.2019.07.002
Abstract: Ovarian lesions are common and require a consistent approach to diagnosis and management for best patient outcomes. In the past 20 years, there has been an evolution in the approach to abnormal ovarian lesions, with increasing… read more here.
Keywords: abnormal ovary; diagnosis management; ovary evolving; management ... See more keywords
A simplified approach to ovarian lesions based on the O-RADS US risk stratification and management system
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DOI: 10.14366/usg.22037
Abstract: Compared to the risk-oriented approach to ovarian lesions that is presented in the Ovarian- Adnexal Reporting and Data System (O-RADS) US Risk Stratification and Management System as a guideline, a lesion-oriented flowchart is more user-friendly… read more here.
Keywords: system; risk stratification; rads risk; ovarian lesions ... See more keywords
A 10-year clinicopathological analysis of ovarian lesions in a tertiary hospital in Southern Nigeria
Sign Up to like & getrecommendations! Published in 2023 at "African Health Sciences"
DOI: 10.4314/ahs.v23i1.48
Abstract: Background: Ovarian tumours are the most lethal of all gynaecological cancers and they are usually diagnosed in advanced stages when the `prognosis is very poor. Objective: To determine the pattern of ovarian lesions, their frequency,… read more here.
Keywords: year; tumour; ovarian lesions; surface epithelial ... See more keywords