Ovarian Cancer Detection in Average-Risk Women: Classic- versus                     Nonclassic-appearing Adnexal Lesions at US

Gupta, Akshya; Jha, Priyanka; Baran, Timothy M.; Maturen, Katherine E.; Patel-Lippmann, Krupa; Zafar, Hanna M.; Kamaya, Aya; Antil, Neha; Barroilhet, Lisa; Sadowski, Elizabeth A.

doi:10.1148/radiol.212338

Cited by 21 publications

(9 citation statements)

References 23 publications

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“…Transabdominal and transvaginal still images and cine clips were part of the ultrasonography examination. Nine hundred of the 1014 adnexal lesions in this study were included in another study comparing the diagnostic performance of using the classic vs nonclassic classification system, whereas, in this study, we assess the diagnostic performance and interobserver agreement of the O-RADS US risk stratification system …”

Section: Methodsmentioning

confidence: 99%

Diagnostic Performance of the Ovarian-Adnexal Reporting and Data System (O-RADS) Ultrasound Risk Score in Women in the United States

et al. 2022

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Section: Methodsmentioning

confidence: 99%

Diagnostic Performance of the Ovarian-Adnexal Reporting and Data System (O-RADS) Ultrasound Risk Score in Women in the United States

et al. 2022

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“…Our DL system had the ability to complete multiple tasks. This allowed the DL model system to automatically implement the complete diagnostic process for adnexal masses and provide abundant information for clinical therapy [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

“…A cyst with papillary projections is the most significant ultrasound characteristic for borderline tumors [ 30 ]. We thus included the additional annotation of papillary projections to discriminate borderline adnexal masses from benign and malignant tumors [ 26 , 31 , 32 ].…”

Section: Methodsmentioning

confidence: 99%

A Deep Learning Model System for Diagnosis and Management of Adnexal Masses

Chen²,

Zhang

et al. 2022

Cancers

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Appropriate clinical management of adnexal masses requires a detailed diagnosis. We retrospectively collected ultrasound images of 1559 cases from the first Center of Chinese PLA General Hospital and developed a fully automatic deep learning (DL) model system to diagnose adnexal masses. The DL system contained five models: a detector, a mass segmentor, a papillary segmentor, a type classifier, and a pathological subtype classifier. To test the DL system, 462 cases from another two hospitals were recruited. The DL system identified benign, borderline, and malignant tumors with macro-F1 scores that varied from 0.684 to 0.791, a benefit to preventing both delayed and overextensive treatment. The macro-F1 scores of the pathological subtype classifier to categorize the benign masses varied from 0.714 to 0.831. The detailed classification can inform clinicians of the corresponding complications of each pathological subtype of benign tumors. The distinguishment between borderline and malignant tumors and inflammation from other subtypes of benign tumors need further study. The accuracy and sensitivity of the DL system were comparable to that of the expert and intermediate sonographers and exceeded that of the junior sonographer.

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“…Generally, imaging has a vital role in the clinical evaluation and differential diagnosis of female ovarian or adnexal findings, noticeably in reproductive age. Pelvic transvaginal ultrasound (TVUS) is the first-line imaging examination for a suspected ovarian tumor in the diagnosis of malignancy [ 66 ], including differentiating benign endometrioma from EAOC. Computerized tomography (CT) scan has poor performance in assessing ovarian mass.…”

Section: What Is the Strategy For The Clinical Diagnosis Of Eaoc In R...mentioning

confidence: 99%

Endometriosis-Associated Ovarian Cancer: What Are the Implications for Women with Intact Endometrioma Planning for a Future Pregnancy? A Reproductive Clinical Outlook

Younis

2022

Biomolecules

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Endometriosis is a chronic, universal, and prevalent disease estimated to affect up to 1:10 women of reproductive age. Endometriosis-associated ovarian cancer (EAOC) developing at reproductive age is challenging and of concern for women and practitioners alike. This outlook review focuses on the occurrence of EAOC, especially in infertile women or those planning for a future pregnancy, from the perspective of a reproductive endocrinologist, based on recent evidence. Contemporary pathogenesis, genetic profiles, evidence of causality, clinical diagnosis, prognosis, and up-to-date management are discussed. EAOC seems to be merely associated with endometrioma and includes clear-cell and endometrioid ovarian carcinoma. Although endometrioma is frequently found in women of reproductive age (up to 1:18 of women), EAOC appears to be a rare occurrence. These women are of more advanced reproductive age, nulliparous, and hyperestrogenic, with a large-sized unilateral endometrioma (>9 cm) containing solid components and papillary projections. Each case suspected to have EAOC has specific characteristics, and a multidisciplinary discussion and appropriate patient counseling should be conducted to reach an optimal therapeutic plan. Since most of these cases are diagnosed at an early stage with a favorable prognosis, fertility-sparing surgery may be feasible. The pros and cons of fertility preservation techniques should be discussed.

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Ovarian Cancer Detection in Average-Risk Women: Classic- versus Nonclassic-appearing Adnexal Lesions at US

Cited by 21 publications

References 23 publications

Diagnostic Performance of the Ovarian-Adnexal Reporting and Data System (O-RADS) Ultrasound Risk Score in Women in the United States

Diagnostic Performance of the Ovarian-Adnexal Reporting and Data System (O-RADS) Ultrasound Risk Score in Women in the United States

A Deep Learning Model System for Diagnosis and Management of Adnexal Masses

Endometriosis-Associated Ovarian Cancer: What Are the Implications for Women with Intact Endometrioma Planning for a Future Pregnancy? A Reproductive Clinical Outlook

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