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April 17, 2026Abdominal Radiology0 citationsOpen Access

CT imaging features as predictors of homologous recombination deficiency and prognosis in high-grade serous ovarian cancer

SKSeii KojoATAkiyo TakadaHYHajime Yokota

Key Points

  • This research aims to explore how CT imaging features can predict homologous recombination deficiency (HRD) and prognosis in high-grade serous ovarian cancer (HGSOC).
  • Analyzed CT imaging features in high-grade serous ovarian cancer cases
  • Evaluated the relationship between imaging features and HRD status
  • Assessed the prognostic implications of the CT-based classification
  • CT imaging features correlated significantly with HRD status
  • The proposed CT-based classification demonstrated fair discriminatory performance for prognosis
  • Higher accuracy in identifying HRD may assist in treatment planning

Abstract

CT imaging features were associated with HRD status and prognosis in HGSOC, and the proposed CT-based classification showed fair discriminatory performance.

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Cite This Study

Kojo et al. (2026) studied this question.

synapsesocial.com/papers/69e1cdc45cdc762e9d85705ehttps://doi.org/10.1007/s00261-026-05459-4
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1368 Can morphology and immune infiltration predict the HRD status in newly diagnosed high grade serous ovarian carcinoma? Lessons from the PAOLA-1/ENGOT-Ov25 Trial, a GINECO study2024
  2. 2Integrated analysis of spatial transcriptomics and CT phenotypes for unveiling the novel molecular characteristics of recurrent and non-recurrent high-grade serous ovarian cancer2024 · 13 citations
  3. 3Evaluation of homologous recombination testing in ovarian carcinoma2026 · 3 citations
  4. 4Homologous recombination deficiency (HRD) testing of high-grade serous carcinoma using cytological samples2026
  5. 5Abstract B046: Homologous recombination DNA repair dependent survival associations in high-grade serous ovarian carcinoma: an Ovarian Tumor Tissue Analysis consortium study2025