Enhancing prostate cancer detection: The role of b-value and apparent diffusion coefficient in DWI
<ns3:p> Background Magnetic Resonance Imaging (MRI) is a highly effective tool for the detection of prostate cancer (PCa). Diffusion-weighted MRI (DW-MRI) is a sensitive technique that depends on the b value and apparent diffusion coefficient (ADC) value for the diagnosis of PCa. The main objective of this study was to determine the optimal b-value and apparent diffusion coefficient (ADC) value in DW-MRI for the diagnosis of prostate cancer. Methods A prospective study including 26 male participants were conducted. MRI examinations were performed with T2 fat saturation sequences, and Diffusion weighted imaging (DWI) sequences with b-values (800, 1000, 1500, and 2000 mm <ns3:sup>2</ns3:sup> /s) were used, and the corresponding ADC maps were calculated. Qualitative and quantitative analyses were conducted. Results According to the present study, a b-value of 0,1500 mm <ns3:sup>2</ns3:sup> /s exhibited the highest Signal-to-Noise Ratio (SNR), Signal Intensity Ratio (SIR), and Contrast-to-Noise Ratio (CNR). Area Under the Curve (AUC) for 0,1500 mm <ns3:sup>2</ns3:sup> /s was 0.80, indicating a high diagnostic accuracy for prostate cancer. Conclusion DWI with a b-value of 1500 mm <ns3:sup>2</ns3:sup> /s provides good diagnostic accuracy for differential diagnosis of prostate lesions. DWI is a crucial sequence in multiparametric MRI of the prostate and offers detailed information that enhances the accuracy of prostate cancer diagnosis and management. </ns3:p>
Authors
- Winniecia Dkhar (ORCID: https://orcid.org/0000-0001-5963-3230)
- Praveen Shastry (ORCID: https://orcid.org/0000-0002-5373-3967)
- Rajagopal Kadavigere (ORCID: https://orcid.org/0000-0003-3486-8740)
- Abhimanyu Pradhan (ORCID: https://orcid.org/0000-0002-2910-5338)
- Anand Venugopal
- Kaushik Nayak (ORCID: https://orcid.org/0000-0002-0356-8377)
- Brian Goveas
Institutions
- Manipal Academy of Higher Education (IN)
Publication Details
- Journal
- F1000Research
- Published
- 2025-02-04
- DOI
- https://doi.org/10.12688/f1000research.161128.1
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00