Xiang Xuejing,Luo Yuanyuan,Li Lian,Deng Yu,Ma Xiaojie.A comparative study of automatic delineation of organs at risk for prostate cancer based on deep learning and atlas library[J].Chinese Journal of Radiological Medicine and Protection,2023,43(6):435-439
A comparative study of automatic delineation of organs at risk for prostate cancer based on deep learning and atlas library
Received:January 07, 2023  
DOI:10.3760/cma.j.cn112271-20230107-00006
KeyWords:Prostatic neoplasms  Deep learning  Automatic sketch  Organs at risk  X-ray computed tomography
FundProject:四川省抗癌协会肿瘤临床科研项目(XH2022-510)
Author NameAffiliationE-mail
Xiang Xuejing Department of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China  
Luo Yuanyuan Department of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China  
Li Lian Department of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China  
Deng Yu Department of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China  
Ma Xiaojie Department of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China maxiaojie8@sina.com 
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Abstract::
      Objective To compare the effect of uPWS R15 software based on deep learning with MIM-Maestro 6.9 software based on atlas library to automatically delineate the organs at risk of prostate cancer in order to provide a reference for clinical application.Methods The CT data of 90 prostate cancer patients admitted to the Department of Oncology Radiotherapy of the Affiliated Hospital of North Sichuan Medical College from 2018 to 2022 were retrospectively selected. Based on the uPWS R15 software developed by Shanghai United Imaging Medical Technology Company and the MIM-Maestro 6.9 software developed by Beijing Mingwei Vision Medical Software Company, the effects of uPWS and MIM software on automatic delineation of organs at risk were evaluated according to five parameters, including delineation time (T), Dice similarity coefficient (DSC), Jaccard similarity coefficient (JSC), Hausdorff distance (HD) and the mean distance to agreement (MDA).Results The sketching time of uPWS software was less than that of MIM software. There were no significant differences in the sketching effect of femoral head and skin between the two software (all P>0.05). The delineation of right kidney (tMDA=-3.43, zDSC=-4.03, zJSC=-4.16, P<0.05), left kidney (tMDA=-3.87, zDSC=-4.18, zJSC=-4.41, P<0.05), small intestine (tMDA=-8.57, zDSC=-9.99, tJSC=14.21, P<0.05) and rectum (zMDA=-4.00, tDSC=-9.98, tJSC=9.72, P< 0.05) except HD, was statistically different. The bladder (z=-7.88, -9.00, -8.17, -8.74, P<0.05) and spinalcord (z=-3.87, -4.43, 4.03, 3.05, P<0.05) were also delineated with significant differences. The DSC automatically delineated by uPWS software was >0.7, while the DSC automatically delineated by MIM software was >0.7 for all other organs at risk except small intestine and rectum. In addition, the HD, MDA and JSC values of the organs at risk (bilateral femoral head, bilateral kidneys, spinal cord, bladder, skin, rectum and small intestine) automatically delineated by uPWS software were generally better than those with MIM software.Conclusions The uPWS software outlines better than the MIM software, but the MIM software can also be used clinically with modifications to the small bowel and rectum, saving a great deal of time in preparation for radiation therapy.
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