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논문 기본 정보

자료유형
학술저널
저자정보
신태영 (한림대학교 춘천성심병원 비뇨기과) 김현숙 (한림대학교) 이중협 (Synergy A.I. Co.Ltd.) 최종석 (한림대학교) 민현석 (Tomocube Inc.) 조형주 (Tomocube Inc.) 김경욱 (The University of Western) 강건 (한림대학교) 김정규 (한림대학교) 윤시은 (The University of Western) 박현규 (한림대학교) 황영욱 (인제대학교 의과대학 일산백병원 영상의학과) 김효진 (부산대학교) 한미연 (부산대학교병원) 배은진 (경상대학교) 윤종우 (한림대학교) 나군호 (연세대학교) 이용성 (한림대학교)
저널정보
대한비뇨기과학회 Investigative and Clinical Urology Investigative and Clinical Urology Vol.61 No.6
발행연도
2020.1
수록면
555 - 564 (10page)

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Purpose: Volumetry is used in polycystic kidney and liver diseases (PKLDs), including autosomal dominant polycystic kidney disease (ADPKD), to assess disease progression and drug efficiency. However, since no rapid and accurate method for volumetry has been developed, volumetry has not yet been established in clinical practice, hindering the development of therapies for PKLD. This study presents an artificial intelligence (AI)-based volumetry method for PKLD. Materials and Methods: The performance of AI was first evaluated in comparison with ground-truth (GT). We trained a V-net-based convolutional neural network on 175 ADPKD computed tomography (CT) segmentations, which served as the GT and were agreed upon by 3 experts using images from 214 patients analyzed with volumetry. The dice similarity coefficient (DSC), interobserver correlation coefficient (ICC), and Bland–Altman plots of 39 GT and AI segmentations in the validation set were compared. Next, the performance of AI on the segmentation of 50 random CT images was compared with that of 11 PKLD specialists based on the resulting DSC and ICC. Results: The DSC and ICC of the AI were 0.961 and 0.999729, respectively. The error rate was within 3% for approximately 95% of the CT scans (error<1%, 46.2%; 1%≤error<3%, 48.7%). Compared with the specialists, AI showed moderate performance. Furthermore, an outlier in our results confirmed that even PKLD specialists can make mistakes in volumetry. Conclusions: PKLD volumetry using AI was fast and accurate. AI performed comparably to human specialists, suggesting its use may be practical in clinical settings.

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