乳腺微钙化超声检测方法综述

    Review of Ultrasound Detection Methods for Breast Microcalcification

    • 摘要: 乳腺微钙化是早期乳腺癌的重要影像学特征之一,是实现乳腺癌早期诊断的关键.超声成像具有无辐射、实时性好、费用低等优势,被广泛应用于乳腺疾病的检测,但受空间分辨率和散斑噪声等因素影响,传统B超很难检出乳腺微钙化.在总结乳腺微钙化特性和传统超声成像局限性的基础上,综述了近年来国内外乳腺微钙化超声检测方法的研究进展,主要包括高频超声检测、B超图像后处理、超声弹性成像、时间反转多信号分类法、高频空间信息、二阶超声场成像、光声成像等,介绍了各检测方法的相关原理,同时对各种方法的特点和局限性进行了详细论述与分析.最后,对乳腺微钙化超声检测方法进行总结,并对近期发展趋势进行了展望.本文综述的检测方法均在一定程度上提高了传统B超成像检测微钙化的性能,但相对于乳腺X线摄影仍存在差距.乳腺微钙化超声检测技术的未来发展趋势包括检测技术的融合、检测方法的比较与评价、病变类型的诊断分类.

       

      Abstract: Breast microcalcification is one of the important imaging features of early breast cancer and the key to early diagnosis of breast cancer. Ultrasound imaging has the advantages of non-radiation, good real-time performance and low cost. It is widely used in the detection of breast diseases. However, due to factors such as limited spatial resolution and speckle noise, it is difficult to detect breast microcalcification through traditional B-mode ultrasound. On the basis of summarizing the characteristics of breast microcalcification and the limitations of traditional ultrasound imaging, this paper reviewed the research advance of ultrasound detection methods for breast microcalcification in recent years. These methods included high-frequency ultrasound, B-ultrasound image post-processing, ultrasound elastography, time reversal with multiple signal classification, high-frequency spatial information, second-order ultrasound field imaging, and photoacoustic imaging. The related principles of these methods were introduced. At the same time, the characteristics and limitations of various methods were discussed and analyzed deeply. The ultrasonic detection methods for breast microcalcification were summarized, and the future development was proposed. The methods have improved the performance of traditional B-mode ultrasound in detecting microcalcification to some extent, however, there is still a gap compared with mammography. The future development trend of the breast microcalcification ultrasound detection technology includes fusion of detection techniques, comparison and evaluation of detection methods, and diagnosis and classification of lesion types.

       

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