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Updated: Mar 23, 2026
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PET/CT With [68Ga]-NOTA-FAP-2286 for Imaging of Tendon Injuries in Rat Achilles Tendon Injury Models
Published on: June 6, 2025
Collagen-sensitive dual-energy-CT as a quantitative tool for tendinopathy assessment: a prospective diagnostic
Torsten Diekhoff1, Suchung Kim2,3, Clemens Gwinner2
1Department of Radiology, Immanuel Clinik Ruedersdorf, University Hospital of Brandenburg Medical School, Seebad 82/83, 15562, Ruedersdorf Bei Berlin, Germany. torsten.diekhoff@mhb-fontane.de.
Objectives:
The purpose of this study was to evaluate the effectiveness of collagen-sensitive dual-energy computed tomography (DECT) as a quantitative imaging tool for the assessment and monitoring of load-induced tendinopathy in the Achilles and patellar tendons, comparing it to magnetic resonance imaging (MRI).
Methods:
In a prospective study, 15 consecutive patients clinically diagnosed with Achilles or patellar tendinopathy underwent bilateral DECT and MRI at baseline and 6 months. Quantitative measurements included collagen density assessed via DECT and signal intensity via MRI. Clinical symptoms were evaluated using numerical pain ratings and VISA-A/P scores. The diagnostic accuracy of both imaging modalities was assessed using ROC analysis, and correlations between DECT and MRI findings were investigated.
Results:
DECT revealed significantly lower collagen densities on corresponding maps in affected tendons (n = 18, 23.7 ± 20.2) compared to unaffected tendons (n = 12, 60.2 ± 29.6 HU, p < 0.001), whereas MRI demonstrated increased signal intensities in pathological regions. ROC analysis indicated comparable diagnostic performance for DECT (AUC = 0.84) and MRI (AUC = 0.80). A strong inverse correlation (r = -0.83) was observed between DECT-measured collagen densities and MRI signal intensities. Clinical improvements at follow-up were reflected by normalization trends in both imaging modalities, though not statistically significant.
Conclusions:
Collagen-sensitive DECT provides a reliable quantitative approach for detecting and assessing tendon pathologies in load-induced tendinopathy, demonstrating diagnostic capabilities comparable to MRI while offering the possibility for collagen density quantification.

