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The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method
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 bre...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215794/ https://www.ncbi.nlm.nih.gov/pubmed/34154558 http://dx.doi.org/10.1186/s12880-021-00628-x |
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author | Li, Juan Wang, Hao Wang, Lu Wei, Ting Wu, Minggang Li, Tingting Liao, Jifen Tan, Bo Lu, Man |
author_facet | Li, Juan Wang, Hao Wang, Lu Wei, Ting Wu, Minggang Li, Tingting Liao, Jifen Tan, Bo Lu, Man |
author_sort | Li, Juan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8215794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82157942021-06-23 The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method Li, Juan Wang, Hao Wang, Lu Wei, Ting Wu, Minggang Li, Tingting Liao, Jifen Tan, Bo Lu, Man BMC Med Imaging Research 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. BioMed Central 2021-06-21 /pmc/articles/PMC8215794/ /pubmed/34154558 http://dx.doi.org/10.1186/s12880-021-00628-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Juan Wang, Hao Wang, Lu Wei, Ting Wu, Minggang Li, Tingting Liao, Jifen Tan, Bo Lu, Man The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method |
title | The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method |
title_full | The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method |
title_fullStr | The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method |
title_full_unstemmed | The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method |
title_short | The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method |
title_sort | concordance in lesion detection and characteristics between the anatomical intelligence and conventional breast ultrasound scan method |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215794/ https://www.ncbi.nlm.nih.gov/pubmed/34154558 http://dx.doi.org/10.1186/s12880-021-00628-x |
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