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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.11
- 수록면
- 1,052 - 1,061 (10page)
- DOI
- 10.3349/ymj.2021.62.11.1052
이용수
초록· 키워드
오류제보하기
Purpose: This study aimed to investigate whether a deep learning model for automated detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance angiography (MRA) can achieve a target diagnostic performance comparable to that of human radiologists for approval from the Korean Ministry of Food and Drug Safety as an artificial intelligence-applied software.
Materials and Methods: In this single-center, retrospective, confirmatory clinical trial, the diagnostic performance of the model was evaluated in a predetermined test set. After sample size estimation, the test set consisted of 135 aneurysm-containing examinations with 168 intracranial aneurysms and 197 aneurysm-free examinations. The target sensitivity and specificity were set as 87% and 92%, respectively. The patient-wise sensitivity and specificity of the model were analyzed. Moreover, the lesion-wise sensitivity and false-positive detection rate per case were also investigated.
Results: The sensitivity and specificity of the model were 91.11% [95% confidence interval (CI): 84.99, 95.32] and 93.91% (95% CI: 89.60, 96.81), respectively, which met the target performance values. The lesion-wise sensitivity was 92.26%. The overall falsepositive detection rate per case was 0.123. Of the 168 aneurysms, 13 aneurysms from 12 examinations were missed by the model.
Conclusion: The present deep learning model for automated detection of unruptured intracranial aneurysms on TOF MRA achieved the target diagnostic performance comparable to that of human radiologists. With high standalone performance, this model may be useful for accurate and efficient diagnosis of intracranial aneurysm.
목차
등록된 정보가 없습니다.
참고문헌 (30)
참고문헌 신청
van Gijn J / 2007 / Subarachnoid haemorrhage / Lancet 369:306~318
UCAS Japan Investigators / 2012 / The natural course of unruptured cerebral aneurysms in a Japanese cohort / N Engl J Med 366:2474~2482
Backes D / 2015 / PHASES score for prediction of intracranial aneurysm growth / Stroke 46:1221~1226
Thompson BG / 2015 / Guidelines for the management of patients with unruptured intracranial aneurysms : a guideline for healthcare professionals from the American Heart Association/American Stroke Association / Stroke 46:2368~2400
Sailer AM / 2014 / Diagnosing intracranial aneurysms with MR angiography : systematic review and meta-analysis / Stroke 45:119~126
UCAS Japan Investigators / 2012 / The natural course of unruptured cerebral aneurysms in a Japanese cohort / N Engl J Med 366:2474~2482
Backes D / 2015 / PHASES score for prediction of intracranial aneurysm growth / Stroke 46:1221~1226
Thompson BG / 2015 / Guidelines for the management of patients with unruptured intracranial aneurysms : a guideline for healthcare professionals from the American Heart Association/American Stroke Association / Stroke 46:2368~2400
Sailer AM / 2014 / Diagnosing intracranial aneurysms with MR angiography : systematic review and meta-analysis / Stroke 45:119~126
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