Evolving Role of Ultrasound Elastography in Breast Imaging.

The article focuses on the evolving role of ultrasound elastography in breast imaging, highlighting its ability to assess tissue stiffness to improve diagnostic accuracy and reduce unnecessary biopsies. Elastography, integrated into sonography systems, includes two main types: strain elastography, w...

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Publicado en:Radiologic Technology Vol. 97; no. 6; pp. 423 - 425
Autor principal: Creech, Kelsey
Formato: Journal Article
Publicado: American Society of Radiologic Technologists Jul/Aug2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul/Aug2026
      vid: 97
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      pub: American Society of Radiologic Technologists
      place: Alburquerque, New Mexico
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        atl: Evolving Role of Ultrasound Elastography in Breast Imaging.
      aug:
        au: Creech, Kelsey
        affil: Diagnostic medical sonographer for Bon Secours Mercy Health
      sug:
        subj:
          Ultrasonography Classification
          Breast Ultrasonography
          Breast Neoplasms Ultrasonography
          Breast Pathology
          Elasticity Evaluation
          Ultrasound Technologists
          Compression Therapy
          Validity
          Sound Therapeutic Use
          Sensitivity and Specificity
          Biopsy
          Unnecessary Procedures
          Ultrasonography Economics
      ab: The article focuses on the evolving role of ultrasound elastography in breast imaging, highlighting its ability to assess tissue stiffness to improve diagnostic accuracy and reduce unnecessary biopsies. Elastography, integrated into sonography systems, includes two main types: strain elastography, which relies on manual compression to provide qualitative or semi-quantitative data, and shear wave elastography (SWE), which uses acoustic pulses for quantitative, operator-independent measurements. Both techniques show comparable diagnostic accuracy in differentiating benign from malignant breast lesions, with SWE offering greater reproducibility and strain elastography higher specificity. Despite limitations such as operator dependence, especially in strain elastography, the integration of artificial intelligence (AI) shows promise in enhancing diagnostic consistency and clinical utility in breast lesion evaluation.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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