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乳腺放射学的未来

Future of Breast Radiology.

作者信息

Arıbal Erkin

机构信息

Acıbadem University Faculty of Medicine, Department of Radiology, İstanbul, Turkey.

出版信息

Eur J Breast Health. 2023 Oct 1;19(4):262-266. doi: 10.4274/ejbh.galenos.2023.2023-8-3. eCollection 2023 Oct.

Abstract

The landscape of breast imaging has transformed significantly since mammography's introduction in the 1960s, accelerated by ultrasound and imageguided biopsies in the 1990s. The emergence of magnetic resonance imaging (MRI) in the 2000s added a valuable dimension to advanced imaging. Multimodality and multiparametric imaging have firmly established breast radiology's pivotal role in managing breast disorders. A shift from conventional to digital radiology emerged in the late 20th and early 21st centuries, enabling advanced techniques like digital breast tomosynthesis, contrast-enhanced mammography, and artificial intelligence (AI) integration. AI's impending integration into breast radiology may enhance diagnostics and workflows. It involves computer-aided diagnosis (CAD) algorithms, workflow support algorithms, and data processing algorithms. CAD systems, developed since the 1980s, optimize cancer detection rates by addressing false positives and negatives. Radiologists' roles will evolve into specialized clinicians collaborating with AI for efficient patient care and utilizing advanced techniques with multiparametric imaging and radiomics. Wearable technologies, non-contrast MRI, and innovative modalities like photoacoustic imaging show potential to enhance diagnostics. Imaging-guided therapy, notably cryotherapy, and theranostics, gains traction. Theranostics, integrating therapy and diagnostics, holds potential for precise treatment. Advanced imaging, AI, and novel therapies will revolutionize breast radiology, offering refined diagnostics and personalized treatments. Personalized screening, AI's role, and imaging-guided therapies will shape the future of breast radiology.

摘要

自20世纪60年代乳腺X线摄影术问世以来,乳腺成像领域发生了显著变化,20世纪90年代超声和影像引导活检技术加速了这一进程。21世纪初磁共振成像(MRI)的出现为先进成像增添了重要维度。多模态和多参数成像已牢固确立了乳腺放射学在乳腺疾病管理中的关键作用。20世纪末和21世纪初,从传统放射学向数字放射学转变,使得数字乳腺断层合成、对比增强乳腺X线摄影和人工智能(AI)集成等先进技术成为可能。AI即将融入乳腺放射学可能会提高诊断水平并优化工作流程。它涉及计算机辅助诊断(CAD)算法、工作流程支持算法和数据处理算法。自20世纪80年代以来开发的CAD系统通过解决假阳性和假阴性问题来优化癌症检测率。放射科医生的角色将演变为与AI合作以实现高效患者护理的专业临床医生,并运用多参数成像和放射组学等先进技术。可穿戴技术、非对比MRI以及光声成像等创新模式显示出增强诊断的潜力。影像引导治疗,尤其是冷冻疗法和治疗诊断学越来越受到关注。治疗诊断学将治疗与诊断相结合,具有实现精准治疗的潜力。先进成像、AI和新型疗法将彻底改变乳腺放射学,提供更精确的诊断和个性化治疗。个性化筛查、AI的作用以及影像引导治疗将塑造乳腺放射学的未来。

相似文献

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Future of Breast Radiology.乳腺放射学的未来
Eur J Breast Health. 2023 Oct 1;19(4):262-266. doi: 10.4274/ejbh.galenos.2023.2023-8-3. eCollection 2023 Oct.
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Artificial Intelligence for the Future Radiology Diagnostic Service.面向未来放射诊断服务的人工智能
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The Economic Impact of AI on Breast Imaging.人工智能对乳腺成像的经济影响。
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