Development and Validation of KN-DIOC: A Novel Preoperative Diagnostic Index Using Ultrasound, Complete Blood Count, and Cancer Antigen 125 for Ovarian Cancer
The novel diagnostic index (KN-DIOC), incorporating CBC, ultrasound features, and tumor markers, provides a robust tool for preoperative assessment of ovarian tumors in Thai patients. It offers significant improvements in sensitivity and specificity over existing models, suggesting its potential for broader application in similar settings. This index supports enhanced decision-making in gynecological oncology, potentially leading to better patient outcomes through timely and accurate diagnosis.
Authors
- Woraphot Chaowawanit (ORCID: https://orcid.org/0000-0002-5280-0718)
- Sorawit Tongyib (ORCID: https://orcid.org/0009-0009-1006-7544)
- Teerapol Saleewong
Institutions
- Navamindradhiraj University (TH)
- Vajira Hospital (TH)
- King Mongkut's University of Technology Thonburi (TH)
Publication Details
- Journal
- World Journal of Oncology
- Published
- 2025-07-26
- DOI
- https://doi.org/10.14740/wjon2595
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00