Fang Hongkun, Hou Weishu, Wang Qun, Zhang Xiaoyu, Wang Xiao, Zhang Shuhai, Li Shoubin, Li Xiaohu, Yu Yongqiang
Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui Province, 230032, China.
Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No. 218 Jixi Road, Hefei, Anhui Province, 230032, China.
World J Urol. 2025 May 6;43(1):273. doi: 10.1007/s00345-025-05640-2.
To explore the value of amide proton transfer-weighted imaging (APTWI) combined with apparent diffusion coefficient (ADC) and prostate-specific antigen density (PSAD) in evaluating the risk of aggressive PI-RADS v2.1 category 3-5 lesions.
We retrospectively analyzed clinical and MRI features of 69 patients with prostate cancer (PCa) and 32 patients with benign prostatic lesion (BL). The PCa group was classified into Gleason Grade Groups (GG) 1 to 4 based on Gleason Score (GS). APTWI parameters, ADC, and PSAD were compared among the different groups. The receiver operating characteristic (ROC) curve and precision recall (PR) curve were used to assess the diagnostic accuracy of each parameter, and Spearman rank correlation was used to analyze the relationship between APTWI parameters and GS.
APTWI parameters and PSAD were significantly higher in the PCa group than that in the BL group, whereas ADC was significantly lower in the PCa group than in the BL group. ADC showed the highest AUC in the diagnosis of PCa, followed by PSAD and APT. Combined analysis showed that APT+ADC + PSAD exhibited the highest AUC (0.997). In the PCa group, significant differences in APTWI parameters were found among GG1 to GG4 (P < 0.001), with intra-group comparisons showing significant differences between GG1 and GG3, GG1 and GG4, GG2 and GG3, and GG2 and GG4 subgroups. The AUC of APT was greatest in evaluating the risk of aggressive PCa (0.948), which further increased when APT was combined with ADC and PSAD (0.956).
In PI-RADS v2.1 category 3-5 lesions, APT can serve as an important biomarker for the risk stratification of PCa, and combining APT with PSAD and ADC achieves the highest diagnostic efficacy.
探讨酰胺质子转移加权成像(APTWI)联合表观扩散系数(ADC)及前列腺特异性抗原密度(PSAD)在评估侵袭性PI-RADS v2.1 3-5类病变风险中的价值。
回顾性分析69例前列腺癌(PCa)患者和32例良性前列腺病变(BL)患者的临床及MRI特征。PCa组根据Gleason评分(GS)分为Gleason分级组(GG)1至4级。比较不同组间的APTWI参数、ADC及PSAD。采用受试者操作特征(ROC)曲线和精确召回率(PR)曲线评估各参数的诊断准确性,并采用Spearman秩相关分析APTWI参数与GS之间的关系。
PCa组的APTWI参数和PSAD显著高于BL组,而PCa组的ADC显著低于BL组。ADC在PCa诊断中的AUC最高,其次是PSAD和APT。联合分析显示,APT+ADC+PSAD的AUC最高(0.997)。在PCa组中,GG1至GG4之间的APTWI参数存在显著差异(P<0.001),组内比较显示GG1与GG3、GG1与GG4、GG2与GG3以及GG2与GG4亚组之间存在显著差异。APT在评估侵袭性PCa风险中的AUC最大(0.948),当APT与ADC和PSAD联合时,AUC进一步升高(0.956)。
在PI-RADS v2.1 3-5类病变中,APT可作为PCa风险分层的重要生物标志物,将APT与PSAD和ADC联合可实现最高的诊断效能。