From the Department of Radiology, Kawasaki Medical School, Kurashiki.
Philips Japan, Tokyo.
J Comput Assist Tomogr. 2023;47(2):178-185. doi: 10.1097/RCT.0000000000001398. Epub 2022 Dec 13.
This study aimed to compare diagnostic performance for tumor detection and for assessment of tumor aggressiveness in prostate cancer (PC) between amide proton transfer magnetic resonance imaging (MRI) with 3-dimensional acquisition (3DAPT) and diffusion-weighted imaging.
The subjects were 23 patients with 27 pathologically proven PCs who underwent 3T multiparametric MRI. With reference to the pathology findings, 2 readers in consensus identified the location of PC on multiparametric MRI and measured APT signal intensity (APT SI [%]) and mean apparent diffusion coefficient (ADC) of the benign region and each PC lesion.
The mean ADC showed a significant difference between benign regions and PC lesions (0.74 ± 0.15 vs 1.37 ± 0.21, P < 0.001), whereas APT SI did not ( P = 0.091). Lesion APT SI was significantly higher and lesion ADC was significantly lower in PCs with Gleason group (GG) ≥3 than in PCs with GG ≤2 (3.37 ± 1.30 vs 1.78 ± 0.67, P < 0.001, and 0.71 ± 0.18 vs 0.79 ± 0.10, P = 0.038, respectively). The APT SI was significantly higher in GG3 than in GG1, in GG3 than in GG2, and in GG4 than in GG2 ( P = 0.009, P = 0.001, and P = 0.006, respectively). The area under the curve for separating tumor lesions and benign regions was 0.601 for 3DAPT and 0.983 for ADC ( P < 0.001). The area under the curve for separating tumors with GG ≤2 from tumors with GG ≥3 was 0.912 for 3DAPT and 0.734 for ADC ( P = 0.172).
In patients with PC, it might be preferable to use ADC to discriminate benign from malignant tissue and use APT SI for assessment of tumor aggressiveness.
本研究旨在比较酰胺质子转移磁共振成像(MRI)三维采集(3DAPT)与弥散加权成像在前列腺癌(PC)肿瘤检测和肿瘤侵袭性评估方面的诊断性能。
本研究纳入了 23 名经病理证实的 27 处 PC 患者,所有患者均接受了 3T 多参数 MRI 检查。参考病理结果,两位阅片者在多参数 MRI 上共同识别 PC 的位置,并测量良性区域和每个 PC 病变的 APT 信号强度(APT SI [%])和平均表观扩散系数(ADC)。
良性区域和 PC 病变之间的平均 ADC 存在显著差异(0.74 ± 0.15 比 1.37 ± 0.21,P < 0.001),而 APT SI 无显著差异(P = 0.091)。在 Gleason 分组(GG)≥3 的 PC 中,病变的 APT SI 更高,ADC 更低(3.37 ± 1.30 比 1.78 ± 0.67,P < 0.001,和 0.71 ± 0.18 比 0.79 ± 0.10,P = 0.038)。GG3 的 APT SI 明显高于 GG1,GG3 的 APT SI 明显高于 GG2,GG4 的 APT SI 明显高于 GG2(P = 0.009,P = 0.001,P = 0.006)。3DAPT 区分肿瘤病变与良性区域的曲线下面积为 0.601,ADC 的曲线下面积为 0.983(P < 0.001)。3DAPT 区分 GG≤2 和 GG≥3 的肿瘤的曲线下面积为 0.912,ADC 的曲线下面积为 0.734(P = 0.172)。
在 PC 患者中,ADC 可能更适合用于区分良恶性组织,而 APT SI 更适合用于评估肿瘤侵袭性。