JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2020, Vol. 40 ›› Issue (10): 1408-1413.doi: 10.3969/j.issn.1674-8115.2020.10.019

• Original article (Clinical research) • Previous Articles     Next Articles

Preliminary application of MR imaging-pathology co-localization by 3D printing box in pelvic tumor assessment

LI Xiao-min1, QU Yang1, WU Wen2, ZHAO Liang3, ZHANG Shao-ting3, HAO Yong-qiang2, DAI Ke-rong2, AI Song-tao1   

  1. 1. Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; 2. Department of Orthopedics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; 3. Shanghai SenseTime Intelligent Technology Co., Ltd, Shanghai 200030, China
  • Online:2020-10-28 Published:2020-11-27
  • Supported by:
    Scientific Research Project of Shanghai Science and Technology Commission (19441902700, 18441903100); Shanghai Municipal Education Commission—Gaofeng Clinical Medicine Grant Support (20152221); Shanghai Jiao Tong University Medical Engineering Cross Grant (YG2017MS03).

Abstract: Objective · To explore the feasibility of applying patient-specific pathological section boxes based on image post-processing and 3D printing technology to the study of correlating in vivo magnetic resonance imaging (MRI) with whole mount histology of the pelvic tumors. Methods · Patients who were with pelvic tumor and underwent pelvic tumor resection from July 2019 to July 2020 were enrolled. CT and MRI were performed in both patients and postoperative tumor specimens. The skeletal anatomical landmarks were used to achieve the registration between the preoperative CT, MRI images and the postoperative CT images, and the patient-specific pathological section boxes were designed and printed, which was to ensure the consistency between in vivo MRI images and postoperative pathological images. Then, the whole pelvic tumors were stained with hematoxylin-eosin staining with the whole mount section technique to obtain the pathological boundaries. Results · A total of 5 cases with bone tumors (3 chondrosarcoma, 1 osteochondroma, and 1 plasmacytoma; 4 males and 1 female) were included in this study with an average age of (46.40±15.66) years (26–65 years). According to the Enneking's classification, there were 1 in typeⅠ, 2 in typeⅠ+Ⅱ, and 1 in typeⅠ+Ⅱ+Ⅲ. The mean maximum tumor diameter was (13.96±2.42) cm. The tumor specimens within the 3D box were adequately fitted in all tumors. The pathological boundary can be completely obtained. Distinct in vivo image features corresponded to unique pathologic characteristics in the same tumor. The average weight of each box was about 2 500 g, and the average cost was about 2 500 yuan. Conclusion · The patient-specific 3D printing pathological section box can effectively achieve the co-localization between the in vivo MRI and pathology images of pelvic tumors, which will have great value in understanding the correlation between MRI and pathology images and can provide support for further standardizing the diagnosis and treatment of pelvic tumors and improving the prognosis.

Key words: magnetic resonance imaging (MRI), 3D printing, pelvic tumor, pathology image, registration fusion, co-localization

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