Cancer detection in patients with prostate-specific antigen levels within the grey zone: can synthetic magnetic resonance imaging aid in the differentiation between prostate cancer and noncancerous lesions?
Quantitative parameters, including T1, T2, and PD, derived from synthetic MRI can be applied to differentiate PCa lesions from noncancerous lesions in patients with PSA levels within the grey zone. However, when these parameters were combined with the ADC, the diagnostic performance did not improve compared to that with the ADC value alone.
Authors
- Tiebao Meng
- Chuanmiao Xie (ORCID: https://orcid.org/0000-0001-8533-623X)
- Huanjun Wang (ORCID: https://orcid.org/0000-0001-9089-7736)
- Long Qian (ORCID: https://orcid.org/0000-0002-9707-1096)
- Yan Guo (ORCID: https://orcid.org/0000-0002-0267-7328)
- Jian Ling (ORCID: https://orcid.org/0000-0001-5493-486X)
- Zhihua Wen
- Yanling Chen (ORCID: https://orcid.org/0000-0002-4511-0188)
- Jinhua Lin (ORCID: https://orcid.org/0000-0001-8594-7823)
- Weijing Zhang (ORCID: https://orcid.org/0009-0004-7948-9247)
- Wenxin Cao (ORCID: https://orcid.org/0009-0005-2050-8551)
Institutions
- Sun Yat-sen University (CN)
- Peking University (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-12-01
- DOI
- https://doi.org/10.21037/qims-24-1014
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- National Natural Science Foundation of China