Logistic regression analysis of ultrasound features for predicting borderline ovarian tumours in young women aged ≤ 40 year

Combining both ultrasonic features of the microcystic pattern and the proportion of the maximum solid area covering < 50% of the inner surface within the cystic region appears to be the optimal method for characterizing BOT.

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Publication Details

Journal
Ginekologia Polska
Published
2025-04-14
DOI
https://doi.org/10.5603/gpl.99589
Primary Topic
Ultrasound and Hyperthermia Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Logistic regression analysis of ultrasound features for predicting borderline ovarian tumours in young women aged ≤ 40 year

Jian Jiang, Wei Feng, Xing Xie, Tian Jiang
Ginekologia Polska
Ultrasound and Hyperthermia Applications
article

Logistic regression analysis of ultrasound features for predicting borderline ovarian tumours in young women aged ≤ 40 year

Jian Jiang, Wei Feng, Xing Xie, Tian Jiang
article en

Abstract

Combining both ultrasonic features of the microcystic pattern and the proportion of the maximum solid area covering < 50% of the inner surface within the cystic region appears to be the optimal method for characterizing BOT.

Ginekologia PolskaVol. 96(9)
First Affiliated Hospital Zhejiang University (CN)
Openalex Percentile: Top 93%
Ultrasound and Hyperthermia Applications
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