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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
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Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

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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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Predicting Breast Cancer Pathologic Complete Response after Neoadjuvant Chemotherapy Using Bimodal US and MRI.

Xue-Yan Wang1,2, Jia-Xin Huang1,3, Feng-Tao Liu4

  • 1Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou 510060, China.

Radiology. Imaging Cancer
|October 17, 2025
PubMed
Summary
This summary is machine-generated.

Bimodal ultrasound (US) shows accuracy comparable to MRI in predicting breast cancer response to neoadjuvant chemotherapy (NAC). Combining bimodal US and MRI offers superior diagnostic performance for assessing treatment outcomes.

Keywords:
BreastUltrasound

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Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Accurate prediction of pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) is crucial for breast cancer management.
  • Current imaging modalities like MRI have limitations in fully assessing treatment response.
  • Bimodal ultrasound, combining grayscale and shear wave elastography, offers a novel approach for breast cancer assessment.

Purpose of the Study:

  • To evaluate if bimodal ultrasound (US) improves the prediction of pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) compared to MRI.
  • To assess the diagnostic value of a combined bimodal US and MRI imaging model for predicting pCR in breast cancer.
  • To compare the performance of individual and combined imaging models against postsurgical pathology results.

Main Methods:

  • A prospective, two-center study enrolled 224 female participants with primary breast cancer undergoing NAC.
  • Preoperative data included bimodal US (grayscale and shear wave) and MRI.
  • Diagnostic models were developed based on complete response on US (uCR) and MRI (mCR), and their combination, with pCR (ypT0/Tis or ypT0) as the reference standard.

Main Results:

  • The bimodal US model achieved an AUC of 0.76 (ypT0/Tis) and 0.79 (ypT0).
  • The MRI model achieved an AUC of 0.80 (ypT0/Tis) and 0.75 (ypT0).
  • The combined imaging model demonstrated superior performance with AUCs of 0.87 for both ypT0/Tis and ypT0, significantly outperforming individual models (P < .05).

Conclusions:

  • Bimodal ultrasound is an effective tool for predicting breast cancer response to NAC, with accuracy comparable to MRI.
  • A combined bimodal US and MRI imaging approach significantly enhances diagnostic performance for predicting pCR compared to either modality alone.
  • This combined strategy holds promise for improved patient management and treatment stratification in breast cancer.