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Evaluation of split renal dysfunction using radiomics based on magnetic resonance diffusion-weighted imaging.

Shengchao Zhao1,2,3, Yi Ding4, Lijuan Gan5

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Diffusion-weighted imaging (DWI) radiomics models show promise for assessing split renal dysfunction. These models can accurately differentiate between normal and impaired kidney function, aiding clinical diagnosis.

Keywords:
computer‐assisteddiffusion‐weighted imagingglomerular filtration rateradiomicsrenal dysfunction

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Area of Science:

  • Radiology
  • Medical Imaging
  • Renal Function Assessment

Background:

  • Accurate, noninvasive assessment of split renal dysfunction is clinically needed.
  • Current methods for evaluating split renal function are limited.

Purpose of the Study:

  • To explore the feasibility of diffusion-weighted imaging (DWI)-based radiomics models for evaluating split renal dysfunction.
  • To develop and validate radiomics models for discriminating renal function levels.

Main Methods:

  • Patients with varying renal function underwent renal DWI.
  • Radiomics features were extracted from DWI images to create radiomics scores (Rad-score).
  • Models were trained and validated to differentiate between normal, mild, moderate, and severe renal function groups based on GFR measurements.

Main Results:

  • Three radiomics models (A, B, C) were developed to distinguish different levels of renal function.
  • Models demonstrated efficient discrimination with high areas under the curve (AUC) in both training and testing cohorts (e.g., 0.822-0.897).

Conclusions:

  • DWI-based radiomics models show significant potential for evaluating split renal dysfunction.
  • These models can effectively discriminate between normal and impaired renal function groups and their subgroups.