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Related Concept Videos

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
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Microstructural Characterization of Breast Lesion Subtypes Using Time-Dependent Diffusion MRI: A Multicenter Study.

Yongjia Zeng1, Yuan Guo2, Zhidan Zhong2

  • 1Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China (Y.Z., Q.M.).

Academic Radiology
|April 30, 2026
PubMed
Summary
This summary is machine-generated.

Time-dependent diffusion MRI (Td-dMRI) with oscillating gradient spin-echo (OGSE) shows promise in distinguishing benign from malignant breast lesions. Microstructural parameters derived from this technique may also help differentiate benign lesions from carcinoma in situ.

Keywords:
Breast neoplasmsOscillating gradient spin-echoTime-dependent diffusion MRI

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Area of Science:

  • Radiology
  • Biomedical Imaging
  • Oncology

Background:

  • Accurate breast lesion characterization is crucial for appropriate patient management.
  • Conventional MRI has limitations in differentiating certain breast lesion subtypes.
  • Novel diffusion MRI techniques offer potential for improved diagnostic accuracy.

Purpose of the Study:

  • To assess the diagnostic performance of microstructural parameters from time-dependent diffusion MRI (Td-dMRI) using oscillating gradient spin-echo (OGSE).
  • To evaluate the ability of Td-dMRI parameters to differentiate between benign and malignant breast lesions.
  • To explore the utility of these parameters in distinguishing benign lesions from carcinoma in situ.

Main Methods:

  • Patients with breast lesions underwent conventional and Td-dMRI (OGSE).
  • The IMPULSED model was used to extract microstructural parameters.
  • Area under the ROC curve and logistic regression analyses were employed for diagnostic performance evaluation.

Main Results:

  • Microstructural parameters, including cell density, were significantly associated with lesion differentiation.
  • Higher Vin and lower ADCOGSEN1 independently predicted malignant lesions (AUC = 0.86).
  • Significant differences in cell density, Vin, and ADCPGSE were found between benign lesions and carcinoma in situ.

Conclusions:

  • Td-dMRI with OGSE technology demonstrates potential for differentiating benign from malignant breast lesions.
  • Derived microstructural parameters may aid in distinguishing benign lesions from carcinoma in situ.
  • This advanced MRI technique could enhance breast lesion diagnosis.