Diagnosis and risk stratification of PI-RADS v2.1 category 3-5 lesions using amide proton transfer imaging
- Hongkun Fang 1, Weishu Hou 1,2, Qun Wang 1, Xiaoyu Zhang 1, Xiao Wang 1,2, Shuhai Zhang 1,2, Shoubin Li 1,2, Xiaohu Li 1,2, Yongqiang Yu 3,4
- Hongkun Fang 1, Weishu Hou 1,2, Qun Wang 1
- 1Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui Province, 230032, China.
- 2Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei, Anhui Province, 230032, China.
- 3Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui Province, 230032, China. ayfyyyongqiang@163.com.
- 4Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei, Anhui Province, 230032, China. ayfyyyongqiang@163.com.
- 0Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui Province, 230032, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Amide proton transfer-weighted imaging (APTWI), apparent diffusion coefficient (ADC), and prostate-specific antigen density (PSAD) effectively evaluate prostate cancer risk. Combining these methods offers the highest diagnostic accuracy for aggressive lesions.
Area Of Science
- Radiology and Medical Imaging
- Oncology
- Biomarkers
Background
- Prostate cancer risk stratification is crucial for appropriate treatment.
- Accurate differentiation between benign and malignant prostate lesions is challenging.
- PI-RADS v2.1 category 3-5 lesions require further evaluation for aggressive disease.
Purpose Of The Study
- To assess the diagnostic value of amide proton transfer-weighted imaging (APTWI) in combination with apparent diffusion coefficient (ADC) and prostate-specific antigen density (PSAD).
- To evaluate the risk of aggressive prostate cancer (PCa) in PI-RADS v2.1 category 3-5 lesions.
- To compare the efficacy of individual and combined parameters for PCa detection and risk stratification.
Main Methods
- Retrospective analysis of 69 PCa patients and 32 benign lesion patients.
- Comparison of APTWI parameters, ADC, and PSAD between PCa and benign lesion groups.
- Utilized receiver operating characteristic (ROC) and precision recall (PR) curves for diagnostic accuracy assessment.
Main Results
- APTWI parameters and PSAD were significantly higher in PCa than benign lesions; ADC was lower.
- ADC demonstrated the highest diagnostic accuracy, followed by PSAD and APT<sub>min</sub>.
- The combination of APT<sub>min</sub>+ADC+PSAD achieved the highest AUC (0.997) for PCa diagnosis. APT<sub>mean</sub> combined with ADC and PSAD showed high efficacy (0.956) for aggressive PCa risk evaluation.
Conclusions
- APTWI serves as a valuable biomarker for prostate cancer risk stratification in PI-RADS v2.1 category 3-5 lesions.
- Combining APTWI with PSAD and ADC significantly enhances diagnostic efficacy.
- This multi-parametric approach improves the identification and risk assessment of aggressive prostate cancer.
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