Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Faculty of Medicine and Dentistry, University of Western Australia, Perth, Australia.
Korean J Radiol. 2019 Mar;20(3):429-437. doi: 10.3348/kjr.2018.0260.
To explore whether MRI fusion technology (combined T2-weighted imaging [T2WI] and fat-suppressed T2WI [T2WI-]) improves signal differences between anal fistulas and surrounding structures.
A total of 32 patients with confirmed diagnoses of anal fistula were retrospectively studied. All available T2WI and T2WI- images for each patient were used to generate fusion image (T2WI-) based on the addition of gray values obtained from each pixel via an MR post-processing work station. The discriminability of fistula, perianal sphincter, and perianal fat in T2WI, T2WI-, and T2WI- images was quantified with Fisher's scoring algorithm. For subjective visual image assessment by researchers, five-point scale scores were determined using a modified double-stimulus continuous quality-scale test to evaluate T2WI-, T2WI, enhanced axial three-dimensional-volumetric interpolated breath-hold examination (3D-VIBE), and T2WI- sequence images. The differences were subsequently compared.
Mean Fisher scores for fistulas vs. sphincters obtained from T2WI- (F = 6.56) were significantly higher than those from T2WI (F = 3.35) ( = 0.001). Mean Fisher scores for sphincters vs. fat from T2WI- (F = 10.84) were significantly higher than those from T2WI- (FS = 2.57) ( = 0.001). In human assessment, T2WI- showed the same fistula discriminability as T2WI-, and better sphincter discriminability than T2WI. Overall, T2WI- showed better discriminability than T2WI, T2WI-, and enhanced 3D-VIBE images.
T2WI and T2WI- fusion technology improves signal differences between anal fistulas and surrounding structures, and may facilitate better evaluation of anal fistulas and sphincters.
探讨 MRI 融合技术(联合 T2 加权成像[T2WI]和脂肪抑制 T2 加权成像[T2WI-])是否能提高肛瘘与周围结构之间的信号差异。
回顾性研究了 32 例确诊为肛瘘的患者。对每位患者的所有可用 T2WI 和 T2WI-图像进行分析,基于每个像素的灰度值通过 MR 后处理工作站相加,生成融合图像(T2WI-)。采用 Fisher 评分算法对 T2WI、T2WI-和 T2WI-图像中肛瘘、肛门括约肌和肛周脂肪的可分辨性进行量化。为了对研究人员的主观视觉图像进行评估,采用改良的双刺激连续质量标度测试,使用五分制评分来评估 T2WI-、T2WI、增强轴位三维容积内插屏气检查(3D-VIBE)和 T2WI-序列图像。随后对差异进行比较。
T2WI-图像中肛瘘与括约肌的平均 Fisher 评分(F = 6.56)显著高于 T2WI 图像(F = 3.35)(= 0.001)。T2WI-图像中括约肌与脂肪的平均 Fisher 评分(F = 10.84)显著高于 T2WI-图像(F = 2.57)(= 0.001)。在人体评估中,T2WI-与 T2WI-相比,肛瘘具有相同的可分辨性,与 T2WI 相比,具有更好的括约肌可分辨性。总的来说,T2WI-比 T2WI、T2WI-和增强 3D-VIBE 图像具有更好的可分辨性。
T2WI 和 T2WI-融合技术提高了肛瘘与周围结构之间的信号差异,可能有助于更好地评估肛瘘和肛门括约肌。