Survival prediction using CT-based radiomic features in patients of pancreatic cancer treated with chemotherapy followed by SBRT
The present study demonstrates that CT-based radiomic features can be a promising tool in predicting survival and in addition to clinical parameters can provide detailed prognostic information that can facilitate personalized patient care. However, clinical implications of this radiomic analysis need a larger number of patients to validate the results.
Authors
- Gaganpreet Singh (ORCID: https://orcid.org/0000-0002-9391-9619)
- Divya Khosla (ORCID: https://orcid.org/0000-0002-7912-115X)
- Shikha Goyal (ORCID: https://orcid.org/0000-0002-9972-6682)
- Renu Madan (ORCID: https://orcid.org/0000-0002-6649-4328)
- Vandana Thakur (ORCID: https://orcid.org/0000-0002-2674-7466)
- Surinder Singh Rana (ORCID: https://orcid.org/0000-0001-5245-9380)
- Rakesh Kapoor (ORCID: https://orcid.org/0000-0003-3789-1591)
- Rajesh Gupta (ORCID: https://orcid.org/0000-0002-6585-1725)
- Divyesh Kumar (ORCID: https://orcid.org/0000-0002-4277-9572)
- Arun Singh Oinam
Institutions
- Post Graduate Institute of Medical Education and Research (IN)
Publication Details
- Journal
- Journal of Cancer Research and Therapeutics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.4103/jcrt.jcrt_1595_24
- Citations
- 1
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.05