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The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method

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机构: [1]Ultrasound Medical Center, Sichuan Cancer Hospital Institute, Sichuan CancerCenter, School of Medicine, University of Electronic Science and Technologyof China, No. 55, Section 4, South Renmin Road, Chengdu, China [2]BreastSurgeons Center, Sichuan Cancer Hospital Institute, Sichuan Cancer Center,School of Medicine, University of Electronic Science and Technology of China,No. 55, Section 4, South Renmin Road, Chengdu, China
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关键词: Breast Ultrasound Breast imaging reporting and data system Anatomical intelligence breast

摘要:
Background The aim of this study was to investigate the concordance in lesion detection, between conventional Handhold Ultrasound (HHUS) and The Anatomical Intelligence for Breast ultrasound scan method. Result The AI-breast showed the absolute agreement between the resident and an experienced breast radiologist. The ICC for the scan time, number, clockface location, distance to the nipple, largest diameter and mean diameter of the lesion obtained by a resident and an experienced breast radiologist were 0.7642, 0.7692, 0.8651, 0.8436, 0.7502, 0.8885, respectively. The ICC of the both practitioners of AI-breast were 0.7971, 0.7843, 0.9283, 0.8748, 0.7248, 0.8163, respectively. The k value of Anatomical Intelligence breast between experienced breast radiologist and resident in these image characteristics of boundary, morphology, aspect ratio, internal echo, and BI-RADS assessment were 0.7424, 0.7217, 0.6741, 0.6419, 0.6241, respectively. The k value of the two readers of AI-breast were 0.6531, 0.6762, 0.6439, 0.6137, 0.5981, respectively. Conclusion The anatomical intelligent breast US scanning method has excellent reproducibility in recording the lesion location and the distance from the nipple, which may be utilized in the lesions surveillance in the future.

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基金编号: 17ZD039

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出版当年[2021]版:
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 核医学
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出版当年[2021]版:
Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

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第一作者机构: [1]Ultrasound Medical Center, Sichuan Cancer Hospital Institute, Sichuan CancerCenter, School of Medicine, University of Electronic Science and Technologyof China, No. 55, Section 4, South Renmin Road, Chengdu, China
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