Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System
Summary: Background: Three-dimensional (3D) image technology in breast measurement requires exploration. We aimed to evaluate a new automatic breast measurement system based on artificial intelligence (AI). Methods: This prospective controlled study included all-women patients who underwent breast...
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Elsevier
2025-06-01
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| Series: | JPRAS Open |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352587825000221 |
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| author | Shu Wang Lei Ren Jihua Liu Cong Su Shanshan He Bo Ren Jian Yin |
| author_facet | Shu Wang Lei Ren Jihua Liu Cong Su Shanshan He Bo Ren Jian Yin |
| author_sort | Shu Wang |
| collection | DOAJ |
| description | Summary: Background: Three-dimensional (3D) image technology in breast measurement requires exploration. We aimed to evaluate a new automatic breast measurement system based on artificial intelligence (AI). Methods: This prospective controlled study included all-women patients who underwent breast reconstruction from January to May 2022. Patients underwent 3D scanning before breast reconstruction. Two doctors performed the measurements twice through AI and manual measurements on the 3D images, respectively. The measurement results of bilateral breast width, convexity, height, volume, and measurement time were recorded. Consistency analyses were performed. Results: Fifty-eight patients (116 breasts) were recruited. For the left breasts, AI and manual measurements showed excellent consistency (intra-class correlation coefficients (ICC) = 0.81) in width measurements, moderate consistency (ICC = 0.59) in height measurements, excellent consistency (ICC = 0.87) in convexity measurements, and good consistency (ICC = 0.74) in volume measurements. For the right breasts, the width consistency was excellent (ICC = 0.93), height consistency was good (ICC = 0.65), convexity consistency was excellent (ICC = 0.94), and volume consistency was excellent (ICC = 0.85). The Bland–Altman curves also showed that the measurement results were comparable and few outliers were detected. AI average measurement time (compared to manual measurements) was significantly shorter (40.65 ± 1.51 s vs. 610.47 ± 18.74 s; p < 0.001). Conclusion: The AI-based 3D breast measurement system showed high accuracy, better reproducibility, and significantly shortened the measurement time, which could help guide surgical management. |
| format | Article |
| id | doaj-art-f6d051cb84f7413185760370d1c9a096 |
| institution | OA Journals |
| issn | 2352-5878 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
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| series | JPRAS Open |
| spelling | doaj-art-f6d051cb84f7413185760370d1c9a0962025-08-20T01:53:30ZengElsevierJPRAS Open2352-58782025-06-014410711810.1016/j.jpra.2025.01.023Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement SystemShu Wang0Lei Ren1Jihua Liu2Cong Su3Shanshan He4Bo Ren5Jian Yin6The Department of Breast Oncoplastic Surgery, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education; Key Laboratory of Cancer Prevention and Treatment, Tianjin; Tianjin's Clinical Research Center for Cancer; The Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, Tianjin, ChinaMedical Imaging Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine; National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, ChinaMedical Imaging Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine; National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, ChinaThe Department of Breast Oncoplastic Surgery, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education; Key Laboratory of Cancer Prevention and Treatment, Tianjin; Tianjin's Clinical Research Center for Cancer; The Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, Tianjin, ChinaThe Department of Breast Oncoplastic Surgery, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education; Key Laboratory of Cancer Prevention and Treatment, Tianjin; Tianjin's Clinical Research Center for Cancer; The Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, Tianjin, ChinaCollege of Computer Science, Nankai University, Tianjin, China; Corresponding author: Bo Ren, Tel.: +86-152-2286-1051, Jian Yin, Tel.: +86-186-2222-1161.The Department of Breast Oncoplastic Surgery, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education; Key Laboratory of Cancer Prevention and Treatment, Tianjin; Tianjin's Clinical Research Center for Cancer; The Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, Tianjin, China; Corresponding author: Bo Ren, Tel.: +86-152-2286-1051, Jian Yin, Tel.: +86-186-2222-1161.Summary: Background: Three-dimensional (3D) image technology in breast measurement requires exploration. We aimed to evaluate a new automatic breast measurement system based on artificial intelligence (AI). Methods: This prospective controlled study included all-women patients who underwent breast reconstruction from January to May 2022. Patients underwent 3D scanning before breast reconstruction. Two doctors performed the measurements twice through AI and manual measurements on the 3D images, respectively. The measurement results of bilateral breast width, convexity, height, volume, and measurement time were recorded. Consistency analyses were performed. Results: Fifty-eight patients (116 breasts) were recruited. For the left breasts, AI and manual measurements showed excellent consistency (intra-class correlation coefficients (ICC) = 0.81) in width measurements, moderate consistency (ICC = 0.59) in height measurements, excellent consistency (ICC = 0.87) in convexity measurements, and good consistency (ICC = 0.74) in volume measurements. For the right breasts, the width consistency was excellent (ICC = 0.93), height consistency was good (ICC = 0.65), convexity consistency was excellent (ICC = 0.94), and volume consistency was excellent (ICC = 0.85). The Bland–Altman curves also showed that the measurement results were comparable and few outliers were detected. AI average measurement time (compared to manual measurements) was significantly shorter (40.65 ± 1.51 s vs. 610.47 ± 18.74 s; p < 0.001). Conclusion: The AI-based 3D breast measurement system showed high accuracy, better reproducibility, and significantly shortened the measurement time, which could help guide surgical management.http://www.sciencedirect.com/science/article/pii/S2352587825000221Artificial intelligenceThree-dimensional breast imagingBreast reconstructionBreast measurement |
| spellingShingle | Shu Wang Lei Ren Jihua Liu Cong Su Shanshan He Bo Ren Jian Yin Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System JPRAS Open Artificial intelligence Three-dimensional breast imaging Breast reconstruction Breast measurement |
| title | Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System |
| title_full | Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System |
| title_fullStr | Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System |
| title_full_unstemmed | Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System |
| title_short | Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System |
| title_sort | three dimensional breast imaging using artificial intelligence based automatic measurement system |
| topic | Artificial intelligence Three-dimensional breast imaging Breast reconstruction Breast measurement |
| url | http://www.sciencedirect.com/science/article/pii/S2352587825000221 |
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