Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.
Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Clin Hemorheol Microcirc. 2020;74(3):223-229. doi: 10.3233/CH-180423.
Prostate cancer (PCa) is one of the most common cancers in elderly men worldwide. Systematic biopsy guided by transrectal ultrasound remains the standard for PCa diagnosis; however, the false negative rate is 10-20%. Multiparametric magnetic resonance imaging (mpMRI) allows PCa visualization with a more precise localization and a higher accuracy and specificity for the detection of PCa. The physician can mentally relocate the most appropriate area detected on the prebiopsy mpMRI, based on its zonal topography and anatomical landmarks, called cognitive fusion. Herein, we concentrated on the accuracy of PCa localization in cognitive fusion compared with MRI-TRUS fusion and explored the applied scope of cognitive fusion.
Thirty-two eligible patients with 36 PCa lesions were recruited for our study. TRUS examinations and MRI-TRUS fusion procedures were performed by experienced operators. The cognitive fusion images were compared using the TRUS image in a MRI-TRUS fusion workstation.
Using cognitive fusion imaging, 86.1% of the lesions were accurately located by the senior sonographer and 69.4% of the lesions were accurately located by the junior sonographer. The maximum diameter and PI-RADS score of the lesions were important factors that affected the accuracy of cognitive fusion (P < 0.05). Furthermore, the lesions with high PI-RADS scores and the lesions with large diameters were more accurately located using cognitive fusion (P < 0.05).
Cognitive fusion is a reliable technique with dependency on working experience, and its accuracy of locating suspicious lesions is consistent with MRI-TRUS fusion in patients with high PI-RADS score and large lesions.
前列腺癌(PCa)是全球老年男性中最常见的癌症之一。经直肠超声引导的系统活检仍然是 PCa 诊断的标准方法;然而,其假阴性率为 10-20%。多参数磁共振成像(mpMRI)允许 PCa 的可视化,具有更精确的定位以及更高的准确性和特异性来检测 PCa。医生可以根据术前 mpMRI 上检测到的最适当区域的区域拓扑和解剖学标志,在大脑中重新定位,称为认知融合。在此,我们集中研究了与 MRI-TRUS 融合相比,认知融合在 PCa 定位中的准确性,并探讨了认知融合的应用范围。
我们招募了 32 名符合条件的 36 个 PCa 病变患者进行本研究。由经验丰富的操作人员进行 TRUS 检查和 MRI-TRUS 融合程序。使用 MRI-TRUS 融合工作站中的 TRUS 图像比较认知融合图像。
使用认知融合成像,由资深超声医师准确定位的病变占 86.1%,由初级超声医师准确定位的病变占 69.4%。病变的最大直径和 PI-RADS 评分是影响认知融合准确性的重要因素(P<0.05)。此外,PI-RADS 评分较高的病变和直径较大的病变使用认知融合更能准确定位(P<0.05)。
认知融合是一种可靠的技术,依赖于工作经验,其在高 PI-RADS 评分和大病灶患者中定位可疑病灶的准确性与 MRI-TRUS 融合一致。