人工智能技术在乳腺影像学诊断中的应用现状与展望
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摘要
当今科技发展的代表性前沿技术——人工智能(arti?cial intelligence,AI),已经和正在推动包括医学在内的众多学科及产业发生广泛而深刻的变化。随着计算机硬件的进步、存储设备性能的提高以及海量数据和新算法的涌现,近几年AI技术的发展取得了重大突破。在医学领域中,医学影像是AI技术应用较早、较为成熟的方向之一。用于乳腺影像学诊断的AI产品正在迅速地从实验阶段过渡到应用阶段,展现了良好的应用价值及发展态势。该研究就当前乳腺影像学诊断中AI技术的发展及应用现状进行分析和综述,并对乳腺影像方面AI未来的发展方向进行展望,以期为相关AI技术的研究提供参考。
As one of the advanced technologies, arti?cial intelligence(AI) makes a profound progress in a wide range of disciplines and industries. With the development of computer hardware and data storage device, as well as the emergence of big data and new algorithms, the application of AI technique makes a big breakthrough in many aspects. In medical imaging ?eld, AI technique has been early and widely applied. Recently, AI products used in breast imaging diagnosis are rapidly transitioning from experiment to application, showing a promising value and trend. This article reviewed the development, application and future direction of AI technique in breast imaging, hoping to provide a reference for further AI research.
As one of the advanced technologies, arti?cial intelligence(AI) makes a profound progress in a wide range of disciplines and industries. With the development of computer hardware and data storage device, as well as the emergence of big data and new algorithms, the application of AI technique makes a big breakthrough in many aspects. In medical imaging ?eld, AI technique has been early and widely applied. Recently, AI products used in breast imaging diagnosis are rapidly transitioning from experiment to application, showing a promising value and trend. This article reviewed the development, application and future direction of AI technique in breast imaging, hoping to provide a reference for further AI research.
引文
[1]陈万青,郑荣寿,张思维,等. 2013年中国恶性肿瘤发病和死亡分析[J].中国肿瘤, 2017, 26(1):1-7.
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[3]SKAANE P. Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening:updated review[J]. Acta Radiol, 2009, 50(1):3-14.
[4]PISANO E D, GASTONIS C, HENDRICK E, et al. Diagnostic performance of digital versus film mammography for breast-cancer screening[J]. N Engl J Med, 2005, 353(17):1773-1783.
[5]LEI J, YANG P, ZHANG L, et al. Diagnostic accuracy of digital breast tomosynthesis versus digital mammography for benign and malignant lesions in breasts:a Meta-analysis[J]. Eur Radiol, 2014, 24(3):595-602.
[6]HOFF S R, SAMSET J H, ABRAHAMSEN A L, et al. Missed and true interval and screen-detected breast cancers in a population based screening program[J]. Acad Radiol, 2011, 18(4):454-460.
[7]LEHMAN C D, WELLMAN R D, BUIST D S, et al. Diagnostic accuracy of digital screening mammography with and without computer-aided detection[J]. JAMA Intern Med, 2015,175(11):1828-1837.
[8]COLE E B, ZHANG Z, MARQUES H S, et al. Impact of computer-aided detection systems on radiologist accuracy with digital mammography[J]. AJR Am J Roentgenol, 2014, 203(4):909-916.
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[10]SAMALA R K, CHAN H P, HADJIISKI L M, et al. Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis[J].Phys Med Biol, 2018, 63(9):095005.
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[13]BECKER A S, MARCON M, GHAFOOR S, et al. Deep learning in mammography:diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer[J]. Invest Radiol, 2017, 52(7):434-440.
[14]CHENG J Z, NI D, CHOU Y H, et al. Computer-aided diagnosis with deep learning architecture:applications to breast lesions in US images and pulmonary nodules in CT scans[J]. Sci Rep,2016, 6:24454.
[15]GEORGIAN-SMITH D, MOORE R H, HALPERN E, et al.Blinded comparison of computer-aided detection with human second reading in screening mammography[J]. AJR Am J Roentgenol, 2007, 189(5):1135-1141.
[16]TAYLOR P, POTTS H W. Computer aids and human second reading as interventions in screening mammography:two systematic reviews to compare effects on cancer detection and recall rate[J]. Eur J Cancer. 2008, 44(6):798-807.
[17]MURAKAMI R, KUMITA S, TANI H, et al. Detection of breast cancer with a computer-aided detection applied to full-field digital mammography[J]. J Digit Imaging 2013, 26(4):768-773.
[18]SADAF A, CRYSTAL P, SCARANELO A, et al. Performance of computer-aided detection applied to full-field digital mammography in detection of breast cancer[J]. Eur J Radiol, 2011,77(3):457-461.
[19]BOLIVAR A V, GOMEZ S S, MERINO P, et al. Computer-aided detection system applied to full-field digital mammograms[J]. Acta Radiol, 2010, 51(10):1086-1092.
[20]FREER T W, ULISSEY M J. Screening mammography with computer-aided detection:prospective study of 12 860 patients in a community breast center[J]. Radiology, 2001, 220(3):781-786.
[21]MORTON M J, WHALEY D H, BRANDT K R, et al. Screening mammograms:interpretation with computer-aided detection-prospective evaluation[J]. Radiology, 2006, 239(2):375-383.
[22]CUPPLES T E, CUNNINGHAM J E, REYNOLDS J C. Impact of computer-aided detection in a regional screening mammography program[J]. AJR Am J Roentgenol, 2005, 185(4):944-950.
[23]DEAN J C, ILVENTO C C. Improved cancer detection using computer-aided detection with diagnostic and screening mammography:prospective study of 104 cancers[J]. AJR Am J Roentgenol, 2006, 187(1):20-28.
[24]LEHMAN C D, PEACOCK S, DEMARTINI W B, et al. A new automated software system to evaluate breast MR examinations:improved specificity without decreased sensitivity[J]. AJR Am J Roentgenol, 2006, 187(1):51-56.
[25]SONG S E, SEO B K, CHO K R, et al. Computer-aided detection (CAD) system for breast MRI in assessment of local tumor extent, nodal status, and multifocality of invasive breast cancers:preliminary study[J]. Cancer Imaging, 2015, 15:1.
[26]HORSCH K, GIGER M L, VYBORNY C J, et al. Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography[J]. Acad Radiol, 2004, 11(3):272-280.
[27]DRUKKER K, GRUSZAUSKAS N P, SENNETT C A, et al.Breast US computer-aided diagnosis workstation:performance with a large clinical diagnostic population[J]. Radiology,2008, 248(2):392-397.
[28]FENTON J J, TAPLIN S H, CARNEY P A, et al. Influence of computer-aided detection on performance of screening mammography[J]. N Engl J Med, 2007, 356(14):1399-1409.
[29]BALLEYGUIER C, ARFI-ROUCHE J, LEVY L, et al. Improving digital breast tomosynthesis reading time:a pilot multi-reader, multi-case study using concurrent computer-aided detection (CAD)[J]. Eur J Radiol, 2017, 97:83-89.
[30]B?TTCHER J, RENZ D M, ZAHM D M, et al. Response to neoadjuvant treatment of invasive ductal breast carcinomas including outcome evaluation:MRI analysis by an automatic CAD system in comparison to visual evaluation[J]. Acta Oncol,2014, 53(6):759-768.
[31]DORRIUS M D, JANSEN-VAN DER WEIDE M C, VAN OOIJEN P M, et al. Computer-aided detection in breast MRI:a systematic review and Meta-analysis[J]. Eur Radiol, 2011,21(8):1600-1608.
[32]BARTOLOTTA T V, ORLANDO A, CANTISANI V, et al. Focal breast lesion characterization according to the BI-RADS US lexicon:role of a computer-aided decision-making support[J]. Radiol Med, 2018, 123(7):498-506.
[2]HELVIE M A. Digital mammography imaging:breast tomosynthesis and advanced applications[J]. Radiol Clin North Am,2010, 48(5):917-929.
[3]SKAANE P. Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening:updated review[J]. Acta Radiol, 2009, 50(1):3-14.
[4]PISANO E D, GASTONIS C, HENDRICK E, et al. Diagnostic performance of digital versus film mammography for breast-cancer screening[J]. N Engl J Med, 2005, 353(17):1773-1783.
[5]LEI J, YANG P, ZHANG L, et al. Diagnostic accuracy of digital breast tomosynthesis versus digital mammography for benign and malignant lesions in breasts:a Meta-analysis[J]. Eur Radiol, 2014, 24(3):595-602.
[6]HOFF S R, SAMSET J H, ABRAHAMSEN A L, et al. Missed and true interval and screen-detected breast cancers in a population based screening program[J]. Acad Radiol, 2011, 18(4):454-460.
[7]LEHMAN C D, WELLMAN R D, BUIST D S, et al. Diagnostic accuracy of digital screening mammography with and without computer-aided detection[J]. JAMA Intern Med, 2015,175(11):1828-1837.
[8]COLE E B, ZHANG Z, MARQUES H S, et al. Impact of computer-aided detection systems on radiologist accuracy with digital mammography[J]. AJR Am J Roentgenol, 2014, 203(4):909-916.
[9]KEEN J D, KEEN J M, KEEN J E. Utilization of computer-aided detection for digital screening mammography in the United States 2008 to 2016[J]. J Am Coll Radiol, 2018, 15(1):44-48.
[10]SAMALA R K, CHAN H P, HADJIISKI L M, et al. Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis[J].Phys Med Biol, 2018, 63(9):095005.
[11]KOOI T, LITJENS G, VAN GINNEKEN B, et al. Large scale deep learning for computer aided detection of mammographic lesions[J]. Med Image Anal, 2017, 35:303-312.
[12]SAMALA R K, CHAN H P, HADJIISKI L, et al. Mass detection in digital breast tomosynthesis:deep convolutional neural network with transfer learning from mammography[J]. Med Phys, 2016, 43(12):6654-6666.
[13]BECKER A S, MARCON M, GHAFOOR S, et al. Deep learning in mammography:diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer[J]. Invest Radiol, 2017, 52(7):434-440.
[14]CHENG J Z, NI D, CHOU Y H, et al. Computer-aided diagnosis with deep learning architecture:applications to breast lesions in US images and pulmonary nodules in CT scans[J]. Sci Rep,2016, 6:24454.
[15]GEORGIAN-SMITH D, MOORE R H, HALPERN E, et al.Blinded comparison of computer-aided detection with human second reading in screening mammography[J]. AJR Am J Roentgenol, 2007, 189(5):1135-1141.
[16]TAYLOR P, POTTS H W. Computer aids and human second reading as interventions in screening mammography:two systematic reviews to compare effects on cancer detection and recall rate[J]. Eur J Cancer. 2008, 44(6):798-807.
[17]MURAKAMI R, KUMITA S, TANI H, et al. Detection of breast cancer with a computer-aided detection applied to full-field digital mammography[J]. J Digit Imaging 2013, 26(4):768-773.
[18]SADAF A, CRYSTAL P, SCARANELO A, et al. Performance of computer-aided detection applied to full-field digital mammography in detection of breast cancer[J]. Eur J Radiol, 2011,77(3):457-461.
[19]BOLIVAR A V, GOMEZ S S, MERINO P, et al. Computer-aided detection system applied to full-field digital mammograms[J]. Acta Radiol, 2010, 51(10):1086-1092.
[20]FREER T W, ULISSEY M J. Screening mammography with computer-aided detection:prospective study of 12 860 patients in a community breast center[J]. Radiology, 2001, 220(3):781-786.
[21]MORTON M J, WHALEY D H, BRANDT K R, et al. Screening mammograms:interpretation with computer-aided detection-prospective evaluation[J]. Radiology, 2006, 239(2):375-383.
[22]CUPPLES T E, CUNNINGHAM J E, REYNOLDS J C. Impact of computer-aided detection in a regional screening mammography program[J]. AJR Am J Roentgenol, 2005, 185(4):944-950.
[23]DEAN J C, ILVENTO C C. Improved cancer detection using computer-aided detection with diagnostic and screening mammography:prospective study of 104 cancers[J]. AJR Am J Roentgenol, 2006, 187(1):20-28.
[24]LEHMAN C D, PEACOCK S, DEMARTINI W B, et al. A new automated software system to evaluate breast MR examinations:improved specificity without decreased sensitivity[J]. AJR Am J Roentgenol, 2006, 187(1):51-56.
[25]SONG S E, SEO B K, CHO K R, et al. Computer-aided detection (CAD) system for breast MRI in assessment of local tumor extent, nodal status, and multifocality of invasive breast cancers:preliminary study[J]. Cancer Imaging, 2015, 15:1.
[26]HORSCH K, GIGER M L, VYBORNY C J, et al. Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography[J]. Acad Radiol, 2004, 11(3):272-280.
[27]DRUKKER K, GRUSZAUSKAS N P, SENNETT C A, et al.Breast US computer-aided diagnosis workstation:performance with a large clinical diagnostic population[J]. Radiology,2008, 248(2):392-397.
[28]FENTON J J, TAPLIN S H, CARNEY P A, et al. Influence of computer-aided detection on performance of screening mammography[J]. N Engl J Med, 2007, 356(14):1399-1409.
[29]BALLEYGUIER C, ARFI-ROUCHE J, LEVY L, et al. Improving digital breast tomosynthesis reading time:a pilot multi-reader, multi-case study using concurrent computer-aided detection (CAD)[J]. Eur J Radiol, 2017, 97:83-89.
[30]B?TTCHER J, RENZ D M, ZAHM D M, et al. Response to neoadjuvant treatment of invasive ductal breast carcinomas including outcome evaluation:MRI analysis by an automatic CAD system in comparison to visual evaluation[J]. Acta Oncol,2014, 53(6):759-768.
[31]DORRIUS M D, JANSEN-VAN DER WEIDE M C, VAN OOIJEN P M, et al. Computer-aided detection in breast MRI:a systematic review and Meta-analysis[J]. Eur Radiol, 2011,21(8):1600-1608.
[32]BARTOLOTTA T V, ORLANDO A, CANTISANI V, et al. Focal breast lesion characterization according to the BI-RADS US lexicon:role of a computer-aided decision-making support[J]. Radiol Med, 2018, 123(7):498-506.