A logistic model for the prediction of endometriosis

Ninet Sinaii, Katherine E. Hartmann, James H. Segars, Barbara J. Stegmann, Lynnette K. Nieman, Pamela Stratton, Michele Jönsson Funk
2020 · doi:10.17615/v6py-2x81 · W4299600560
article OA: green CC0
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This study developed a logistic model incorporating individual and lesion characteristics to predict the likelihood of histologically confirmed endometriosis in surgical lesions.

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Abstract

To develop a model using individual and lesion characteristics to help surgeons choose lesions with a high probability of containing histologically-confirmed endometriosis.

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endometriosis

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last seen: 2026-06-04T00:00:01.174412+00:00
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