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Related Concept Videos

Ultrasonography01:17

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Related Experiment Video

Updated: Jan 10, 2026

Multi-modal Imaging of Angiogenesis in a Nude Rat Model of Breast Cancer Bone Metastasis Using Magnetic Resonance Imaging, Volumetric Computed Tomography and Ultrasound
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Suspicion for Sarcoma: Clinical Presentation, Multi-Modality Imaging Evaluation, and Ultrasound Artificial

Nikki A Mehran1, Emily Rooney1, Harsh Shah1

  • 1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Cancers
|November 27, 2025
PubMed
Summary

Breast sarcomas present variably on mammography, ultrasound, and MRI. Artificial intelligence decision support (AI DS) shows high accuracy in identifying suspicious breast masses on ultrasound.

Keywords:
MRIartificial intelligencebreast cancerbreast sarcomadecision supportmammographyprimary breast sarcomasecondary breast sarcomaultrasound

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Breast sarcomas are rare and aggressive tumors.
  • Characterizing their presentation across imaging modalities is crucial for early diagnosis.

Purpose of the Study:

  • To detail the clinical, histological, and imaging features of breast sarcomas.
  • To evaluate the effectiveness of artificial intelligence decision support (AI DS) in detecting breast sarcomas.

Main Methods:

  • Retrospective review of 18 patients with histologically proven breast sarcomas (2008-2024).
  • Analysis of mammography, ultrasound, and MRI findings using BI-RADS lexicon.
  • Retrospective application of AI DS to ultrasound images of breast masses.

Main Results:

  • Mammographic findings were diverse, including masses, asymmetries, and skin thickening.
  • Ultrasound commonly showed irregular masses with non-circumscribed, hypoechoic, and vascular features.
  • AI DS identified 93.8% of ultrasound-detected breast masses as suspicious.

Conclusions:

  • Breast sarcomas exhibit varied imaging appearances across modalities.
  • AI DS can aid radiologists in diagnosing rare and aggressive breast sarcomas.