CT-based conventional radiomics and quantification of intratumoral heterogeneity for predicting benign and malignant renal lesions
The combined model, incorporating intratumoral and peritumoral radiomic features, ecological diversity features, and clinical factors showed good performance for distinguishing benign from malignant renal lesions, surpassing radiologists' diagnoses in both whole and small renal lesions. It has the potential to save patients from unnecessary invasive biopsies/surgeries and to enhance clinical decision-making.
Authors
- Yafeng Fan
- Xuepei Zhang (ORCID: https://orcid.org/0000-0003-0919-5871)
- Yonghao Zhan (ORCID: https://orcid.org/0000-0003-1282-2637)
- Tao Jin (ORCID: https://orcid.org/0000-0002-7028-3419)
- Jinshan Cui
- Junxiao Liu (ORCID: https://orcid.org/0000-0003-0765-3584)
- Yuhong Li (ORCID: https://orcid.org/0000-0003-1684-207X)
- Yang Yang (ORCID: https://orcid.org/0000-0002-1163-2359)
- Bo Chen (ORCID: https://orcid.org/0000-0003-3296-0922)
- Peng Li (ORCID: https://orcid.org/0000-0002-5235-6311)
- Zeyuan Wang (ORCID: https://orcid.org/0000-0002-4551-9565)
- Haoke Zheng
- Meng Wang (ORCID: https://orcid.org/0009-0003-0098-9402)
- Shuanbao Yu
- Wendong Jia
Institutions
- Tongliao Academy of Agricultural Sciences (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1186/s40644-024-00775-8
- Citations
- 7
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.29