Development of the diagnostic imaging supporting system for the artery of Adamkiewicz

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K07572
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Iwate Medical University
• Principal Investigator: Yoshioka Kunihiro 岩手医科大学, 医学部, 教授 (70210648)
• Co-Investigator(Kenkyū-buntansha): 折居 誠 岩手医科大学, 医学部, 講師 (70508986)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: Adamkiewicz動脈 / 大動脈瘤 / CT

Outline of Final Research Achievements

Diagnosis of the artery of Adamkiewicz, which is important for preoperative evaluation of thoracoabdominal aortic aneurysms, is often challenging even for specialists. Using artificial intelligence (AI) technology, a system has been developed to assist in the diagnosis of the artery from CT images. As a result, the artery of Adamkiewicz could be extracted in 8 out of 15 cases (53%). On the other hand, the artery of Adamkiewicz could not be extracted in 6 cases (40%), and the anterior radiculomedullary vein was misidentified as the artery of Adamkiewicz artery in 1case (7%).
These results confirmed that the artery of Adamkiewicz could be extracted automatically in more than half of the cases in using AI. However, further improvement in accuracy is needed for clinical use.

Free Research Field

放射線診断学

Academic Significance and Societal Importance of the Research Achievements

AIを用いることで53％の症例でAdamkiewicz動脈を自動抽出できることが判明した。専門医による同動脈の診断精度も50％程度との報告もあるので、これにほぼ匹敵する精度とも言える。今後自動抽出の精度が向上できればAdamkiewicz動脈の術前診断が非専門医でも専門医と同等以上となり、ひいては大動脈瘤術後の対麻痺の回避に貢献することが期待される。