Estimating pathologic prognostic factors in epithelial ovarian cancers using apparent diffusion coefficients from functional tumour burden
Motivation: EOC is highly heterogeneous, meaning the average ADC value of the total tumor cannot reflect its internal components, which vary based on pathology. Goal(s): This study sought to assess the utility of ADC values from total and functional tumor burdens to determine pathologic prognostic factors in EOC. Approach: Using k-means clustering to divide the tumor into 2 clusters based on their ADC values, the low ADC cluster was considered to be high cellular. Furthermore, minimum, maximum and average ADC values of functional tumor were calculated. Results: ADC values derived from functional tumor could be used to assess preoperative prognostic factors in EOC. Impact: ADC values derived from functional tumor could be used to assess preoperative prognostic factors in EOC.
Authors
- Jiaming Qin
- Yujiao Zhao (ORCID: https://orcid.org/0000-0002-2689-9371)
- Cheng Zhang (ORCID: https://orcid.org/0009-0008-2698-5019)
- Yue Cheng (ORCID: https://orcid.org/0000-0002-1598-0959)
- Wen Shen (ORCID: https://orcid.org/0000-0002-8466-2989)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/2585
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00