Value Analysis of MRI Habitat Analysis Combined Model in the Diagnosis of Ovarian Tumors
values of 0.041 in the training group and 0.023 in the test group. Additionally, a statistically significant difference was observed in the DeLong test results between the cystic habitat subregion (H2) and the overall habitat region.ConclusionsThe combined classification model of habitat analysis and clinical data effectively improved the diagnostic efficacy of differentiating borderline from malignant ovarian tumors. The diagnostic efficacy of the habitat subregion (H1) dominated by solid components and the habitat overall region was superior to that of the habitat subregion dominated by cystic components.
Authors
- J.H. Wang (ORCID: https://orcid.org/0009-0000-0564-3230)
- Siyu Ma
- Yan Sui
- Dewu Yang
Institutions
- Capital University (US)
- Beijing Health Vocational College (CN)
Publication Details
- Journal
- Technology in Cancer Research & Treatment
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1177/15330338261439633
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00