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A system for evaluating magnetic resonance imaging of prostate cancer using patient-specific 3D printed molds

机译:一种使用患者特定的3D打印模具评估前列腺癌磁共振成像的系统

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摘要

We have developed a system for evaluating magnetic resonance imaging of prostate cancer, using patient-specific 3D printed molds to facilitate MR-histology correlation. Prior to radical prostatectomy a patient receives a multiparametric MRI, which an expert genitourinary radiologist uses to identify and contour regions suspicious for disease. The same MR series is used to generate a prostate contour, which is the basis for design of a patient-specific mold. The 3D printed mold contains a series of evenly spaced parallel slits, each of which corresponds to a known MRI slice. After surgery, the patient’s specimen is enclosed within the mold, and all whole-mount levels are obtained simultaneously through use of a multi-bladed slicing device. The levels are then formalin fixed, processed, and delivered to an expert pathologist, who identifies and grades all lesions within the slides. Finally, the lesion contours are loaded into custom software, which elastically warps them to fit the MR prostate contour. The suspicious regions on MR can then be directly compared to lesions on histology. Furthermore, the false-negative and false-positive regions on MR can be retrospectively examined, with the ultimate goal of developing methods for improving the predictive accuracy of MRI. This work presents the details of our analysis method, following a patient from diagnosis through the MR-histology correlation process. For this patient MRI successfully predicted the presence of cancer, but true lesion volume and extent were underestimated. Most cancer-positive regions missed on MR were observed to have patterns of low T2 signal, suggesting that there is potential to improve sensitivity.
机译:我们已经开发了一种用于评估前列腺癌磁共振成像的系统,该系统使用患者特定的3D打印模具来促进MR组织学相关性。在根治性前列腺切除术之前,患者会接受多参数MRI,泌尿生殖放射线专家会使用此MRI来识别并勾勒出可疑疾病区域。相同的MR系列用于生成前列腺轮廓,这是设计患者专用模具的基础。 3D打印模具包含一系列均匀间隔的平行缝,每个缝对应一个已知的MRI切片。手术后,将患者的标本封入模具中,并通过使用多刃切片装置同时获得所有的整体安装水平。然后将水平进行福尔马林固定,处理,然后交付给专业的病理学家,由其确定载玻片中的所有病变并对其进行分级。最后,将病变轮廓加载到自定义软件中,该软件可以使它们弹性变形以适合MR前列腺轮廓。然后可以将MR上的可疑区域直接与组织学上的病变进行比较。此外,可以回顾性地检查MR上的假阴性和假阳性区域,其最终目的是开发提高MRI预测准确性的方法。这项工作介绍了我们的分析方法的详细信息,包括患者从诊断到MR-组织学相关过程的过程。对于该患者,MRI成功地预测了癌症的存在,但真实的病灶数量和范围被低估了。观察到大多数在MR上漏诊的癌症阳性区域都具有低T2信号模式,这表明有可能提高敏感性。

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