Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74:229–63.

Article  PubMed  Google Scholar 

Kexin S, Lin L, Rongshou Z, Siwei Z, Hongmei Z, Shaoming W, et al. Trends in incidence rates, mortality rates, and age-period-cohort effects of female breast cancer — China, 2003–2017. China CDC Weekly. 2023;5:340–6.

Article  Google Scholar 

McBee MP, Awan OA, Colucci AT, Ghobadi CW, Kadom N, Kansagra AP, et al. Deep Learning in radiology. Acad Radiol. 2018;25:1472–80.

Article  PubMed  Google Scholar 

Avanzo M, Wei L, Stancanello J, Vallières M, Rao A, Morin O, et al. Machine and deep learning methods for radiomics. Med Phys. 2020;47:e185–202.

Article  PubMed  Google Scholar 

Chan HP, Samala RK, Hadjiiski LM, Zhou C. Deep learning in medical image analysis. Adv Exp Med Biol. 2020;1213:3–21.

Article  PubMed  PubMed Central  Google Scholar 

Aggarwal R, Sounderajah V, Martin G, Ting DSW, Karthikesalingam A, King D, et al. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis. NPJ Digit Med. 2021;4:65.

Article  PubMed  PubMed Central  Google Scholar 

Becker AS, Mueller M, Stoffel E, Marcon M, Ghafoor S, Boss A. Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study. Br J Radiol. 2018;91:20170576.

Article  PubMed  PubMed Central  Google Scholar 

Byra M, Galperin M, Ojeda-Fournier H, Olson L, O’Boyle M, Comstock C, et al. Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion. Med Phys. 2019;46:746–55.

Article  PubMed  PubMed Central  Google Scholar 

Fujioka T, Kubota K, Mori M, Kikuchi Y, Katsuta L, Kasahara M, et al. Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network. Jpn J Radiol. 2019;37:466–72.

Article  PubMed  Google Scholar 

Han S, Kang HK, Jeong JY, Park MH, Kim W, Bang WC, et al. A deep learning framework for supporting the classification of breast lesions in ultrasound images. Phys Med Biol. 2017;62:7714–28.

Article  PubMed  Google Scholar 

Hizukuri A, Nakayama R. Computer-aided diagnosis scheme for determining histological classification of breast lesions on ultrasonographic images using convolutional neural network. Diagnostics (Basel). 2018;8:48.

Article  PubMed  Google Scholar 

Qi X, Zhang L, Chen Y, Pi Y, Chen Y, Lv Q, et al. Automated diagnosis of breast ultrasonography images using deep neural networks. Med Image Anal. 2019;52:185–98.

Article  PubMed  Google Scholar 

Qian X, Pei J, Zheng H, Xie X, Yan L, Zhang H, et al. Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning. Nat Biomed Eng. 2021;5:522–32.

Article  PubMed  Google Scholar 

Tanaka H, Chiu SW, Watanabe T, Kaoku S, Yamaguchi T. Computer-aided diagnosis system for breast ultrasound images using deep learning. Phys Med Biol. 2019;64: 235013.

Article  PubMed  Google Scholar 

Pfob A, Sidey-Gibbons C, Barr RG, Duda V, Alwafai Z, Balleyguier C, et al. Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): a retrospective, international, multicentre analysis. Eur J Cancer. 2022;177:1–14.

Article  PubMed  Google Scholar 

Lai YC, Chen HH, Hsu JF, Hong YJ, Chiu TT, Chiou HJ. Evaluation of physician performance using a concurrent-read artificial intelligence system to support breast ultrasound interpretation. Breast. 2022;65:124–35.

Article  PubMed  PubMed Central  Google Scholar 

Rajpurkar P, Lungren MP. The current and future state of AI interpretation of medical images. N Engl J Med. 2023;388:1981–90.

Article  PubMed  Google Scholar 

Gu Y, Xu W, Lin B, An X, Tian J, Ran H, et al. Deep learning based on ultrasound images assists breast lesion diagnosis in China: a multicenter diagnostic study. Insights Imaging. 2022;13:124.

Article  PubMed  PubMed Central  Google Scholar 

Shen Y, Shamout FE, Oliver JR, Witowski J, Kannan K, Park J, et al. Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams. Nat Commun. 2021;12:5645.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Du R, Chen Y, Li T, Shi L, Fei Z, Li Y. Discrimination of breast cancer based on ultrasound images and convolutional neural network. J Oncol. 2022;2022:7733583.

Article  PubMed  PubMed Central  Google Scholar 

Xu Z, Wang Y, Chen M, Zhang Q. Multi-region radiomics for artificially intelligent diagnosis of breast cancer using multimodal ultrasound. Comput Biol Med. 2022;149: 105920.

Article  PubMed  Google Scholar 

Chen C, Wang Y, Niu J, Liu X, Li Q, Gong X. Domain knowledge powered deep learning for breast cancer diagnosis based on contrast-enhanced ultrasound videos. IEEE Trans Med Imaging. 2021;40:2439–51.

Article  PubMed  Google Scholar 

Wang Q, Chen H, Luo G, Li B, Shang H, Shao H, et al. Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound. Eur Radiol. 2022;32:7163–72.

Article  PubMed  Google Scholar 

Zhao C, Xiao M, Ma L, Ye X, Deng J, Cui L, et al. Enhancing performance of breast ultrasound in opportunistic screening women by a deep learning-based system: a multicenter prospective study. Front Oncol. 2022;12: 804632.

Article  PubMed  PubMed Central  Google Scholar 

Zhang P, Zhang M, Lu M, Jin C, Wang G, Lin X. Comparative analysis of the diagnostic value of S-detect technology in different planes versus the BI-RADS classification for breast lesions. Acad Radiol. 2025;32:58–66.

Article  PubMed  Google Scholar 

Zhu Y, Zhan W, Jia X, Liu J, Zhou J. Clinical application of computer-aided diagnosis for breast ultrasonography: factors that lead to discordant results in radial and antiradial planes. Cancer Manage Res. 2022;14:751–60.

Article  Google Scholar 

Liang YP, Zhang J, Zhou P, Zhao YF, Liu WG, Shi YF. Evaluation of the quadri-planes method in computer-aided diagnosis of breast lesions by ultrasonography: prospective single-center study. JMIR Med Inf. 2020;8(5): e18251.

Article  Google Scholar 

Li WB, Du ZC, Liu YJ, Gao JX, Wang JG, Dai Q, et al. Prediction of axillary lymph node metastasis in early breast cancer patients with ultrasonic videos based deep learning. Front Oncol. 2023;13:1219838.

Article  PubMed  PubMed Central  Google Scholar 

Ren S, He K, Girshick R, Sun J. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell. 2017;39:1137–49.

Article  PubMed  Google Scholar 

He K, Zhang X, Ren S, Sun J. Deep residual learning for image recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016. https://doi.org/10.1109/CVPR.2016.90

Lin TY, Dollar P, Girshick R, He K, Hariharan B, Belongie S, editors. Feature Pyramid Networks for Object Detection. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017. https://doi.org/10.1109/CVPR.2017.106.

Carreira J, Zisserman A, editors. Quo vadis, action recognition? a new model and the kinetics dataset. proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017. https://doi.org/10.1109/CVPR.2017.502

Lin M, Chen Q, Yan S. Network in network. arXiv e-prints. 2013; arXiv: 1312.4400.

Gao L, Li J, Gu Y, Ma L, Xu W, Tao X, et al. Breast ultrasound in Chinese hospitals: a cross-sectional study of the current status and influencing factors of BI-RADS utilization and diagnostic accuracy. Lancet Reg Health West Pac. 2022;29: 100576.

PubMed  PubMed Central  Google Scholar 

Haug CJ, Drazen JM. Artificial intelligence and machine learning in clinical medicine, 2023. N Engl J Med. 2023;388:1201–8.

Article  CAS  PubMed  Google Scholar 

Lokaj B, Pugliese MT, Kinkel K, Lovis C, Schmid J. Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review. Eur Radiol. 2024;34:2096–109.

Article  PubMed  Google Scholar 

Huang R, Ying Q, Lin Z, Zheng Z, Tan L, Tang G, et al. Extracting keyframes of breast ultrasound video using deep reinforcement learning. Med Image Anal. 2022;80: 102490.

Comments (0)

No login
gif