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Related Concept Videos

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

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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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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Updated: Aug 4, 2025

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
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Apparent diffusion coefficient values effectively predict cell proliferation and determine oligodendroglioma grade.

Xiaoai Ke1,2,3, Jun Zhao1,2,3,4, Xianwang Liu1,2,3,4

  • 1Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, Gansu, People's Republic of China.

Neurosurgical Review
|April 6, 2023
PubMed
Summary
This summary is machine-generated.

Conventional magnetic resonance imaging (MRI) features and apparent diffusion coefficient (ADC) values effectively differentiate oligodendroglioma grades. These imaging techniques also correlate with the Ki-67 proliferation index, aiding in noninvasive tumor grading.

Keywords:
Apparent diffusion coefficientKi-67Magnetic resonance imagingOligodendrogliomaProliferation index

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Area of Science:

  • Neuroradiology
  • Oncology
  • Medical Imaging

Background:

  • Oligodendroglioma grading is crucial for treatment planning.
  • Differentiating between World Health Organization (WHO) grades 2 and 3 oligodendroglioma noninvasively is challenging.
  • Conventional MRI features and apparent diffusion coefficient (ADC) values may aid in this differentiation.

Purpose of the Study:

  • To evaluate the diagnostic value of conventional MRI features and ADC values in differentiating WHO grade 2 and 3 oligodendroglioma.
  • To explore the correlation between ADC values and the Ki-67 proliferation index in oligodendroglioma.

Main Methods:

  • Retrospective analysis of preoperative MRI data from 99 patients with WHO grade 2 and 3 oligodendroglioma.
  • Comparison of conventional MRI features, ADCmean, ADCmin, and normalized ADC (nADC) between tumor grades.
  • Receiver operating characteristic (ROC) curve analysis to assess diagnostic efficacy.
  • Measurement of Ki-67 proliferation index and correlation analysis with ADC values.

Main Results:

  • WHO grade 3 oligodendrogliomas exhibited larger maximum diameter, increased cystic degeneration/necrosis, edema, and moderate/severe enhancement compared to WHO grade 2.
  • Significant differences were observed in ADCmin, ADCmean, and nADC values between WHO grades 2 and 3.
  • ADCmin demonstrated the highest accuracy (AUC=0.980) in differentiating the two grades, with a threshold of 0.96×10⁻³ mm²/s achieving 100% sensitivity, 93.00% specificity, and 96.96% accuracy.
  • Significant negative correlations were found between ADC values (ADCmin, ADCmean, nADC) and the Ki-67 proliferation index.

Conclusions:

  • Conventional MRI features and ADC values are valuable tools for the noninvasive prediction of oligodendroglioma WHO grade.
  • ADC values, particularly ADCmin, show strong potential for differentiating between oligodendroglioma grades.
  • Imaging parameters correlate with tumor proliferation rate, offering insights into tumor aggressiveness.