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Radiomics identifies distinct cortical bone texture alterations in patients with CKD using HR-pQCT.

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Radiomic analysis of tibial cortical bone using high-resolution peripheral quantitative computed tomography (HR-pQCT) can detect subtle bone changes in chronic kidney disease (CKD) patients. These advanced imaging features offer improved skeletal fragility assessment compared to standard metrics.

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Area of Science:

  • Bone biology and imaging
  • Nephrology and skeletal health
  • Radiomics and quantitative imaging

Background:

  • Standard clinical imaging metrics inadequately predict skeletal fragility in chronic kidney disease (CKD).
  • Advanced CKD is characterized by complex and heterogeneous cortical bone deterioration.
  • Subtle cortical alterations in CKD often go undetected by conventional imaging methods.

Purpose of the Study:

  • To identify radiomic features from high-resolution peripheral quantitative computed tomography (HR-pQCT) of tibial cortical bone.
  • To distinguish CKD-related bone differences not apparent with standard imaging.
  • To explore radiomic markers for subtle cortical alterations in advanced CKD.

Main Methods:

  • HR-pQCT imaging of tibial cortical bone from 72 participants (38 non-CKD, 34 CKD stage 5D).
  • Analysis of radiomic features derived from first-order and higher-order statistics.
  • Comparison of radiomic features against conventional HR-pQCT outcomes (e.g., volumetric bone mineral density).

Main Results:

  • Radiomic features, particularly higher-order statistical features, were more prominent in CKD cases.
  • Conventional metrics like volumetric bone mineral density showed limited differentiation between CKD and non-CKD groups.
  • Specific radiomic features (Minimum and Strength) significantly distinguished CKD from non-CKD cortical bone (P < 0.001).

Conclusions:

  • Radiomic analysis reveals distinct cortical bone differences in CKD not detectable by conventional HR-pQCT metrics.
  • Radiomics holds potential for enhanced bone quality assessment in high-risk CKD populations.
  • This approach may improve the prediction of skeletal fragility in CKD patients.