Three-dimensional ultrasound for knee osteophyte depiction: a comparative study to computed tomography - Report - MDSpire

Three-dimensional ultrasound for knee osteophyte depiction: a comparative study to computed tomography

  • By

  • Valeria Vendries

  • Tamas Ungi

  • Jordan Harry

  • Manuela Kunz

  • Jana Podlipská

  • Les MacKenzie

  • Gabriel Venne

  • July 27, 2021

  • 0 min

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Evaluation of 3D Ultrasound for Knee Osteophyte Visualization vs CT

Overview

This study compared three-dimensional reconstructed ultrasound (3D US) with computed tomography (CT) for visualizing knee osteophytes, using structured light scanning (SLS) as the ground truth. Results demonstrated that 3D US can accurately depict osteophyte surface morphology and volume, potentially outperforming CT in detecting immature osteophytes.

Background

Osteophytes are abnormal bone outgrowths critical for diagnosing knee osteoarthritis but are challenging to visualize accurately with conventional imaging such as radiographs and CT. CT is optimal for calcified osteophytes but may miss immature forms, leading to intraoperative challenges. Ultrasound (US) has shown promise in detecting early osteophytes and assessing their size, but prior studies have not quantified osteophyte surface and volume using 3D US reconstructions. This study aims to fill that gap by comparing 3D US and CT against a gold standard surface scan.

Data Highlights

ParameterModalityDetails
SpecimensCadaveric knees11 knees pre-screened; 6 with osteoarthritis; 3 dissected for SLS
Osteophyte regionsEvaluated18 regions on femoral sides
CT scan parametersGE BrightSpeed 16-slice0.625 mm slice thickness; 0.35-0.39 mm pixel size; 120 kV
US probeLinear probe L12-5L40S-3Tracked for 3D reconstruction

Key Findings

  • 3D US combined accessibility of ultrasound with volumetric reconstruction similar to CT or MRI without ionizing radiation.
  • CT accurately depicted calcified osteophytes but was less reliable for immature osteophytes.
  • 2D US pre-screening identified osteophytes in 6 of 11 knees, confirming its sensitivity in early detection.
  • 3D US models allowed quantification of osteophyte surface and volume, a novel approach compared to prior studies.
  • Structured light scanning served as a ground truth, enabling objective comparison of imaging modalities.
  • 3D US may improve preoperative planning and computer-assisted orthopedic surgery by providing detailed osteophyte morphology.

Clinical Implications

3D reconstructed ultrasound offers a radiation-free, accessible method to visualize and quantify knee osteophytes, including immature forms that CT may miss. Incorporating 3D US into clinical practice could enhance early osteoarthritis diagnosis and improve surgical planning by providing accurate joint surface models. This modality may reduce intraoperative surprises related to osteophyte morphology and improve outcomes in computer-assisted orthopedic procedures.

Conclusion

3D reconstructed ultrasound is a promising imaging modality for detailed visualization and quantification of knee osteophytes, potentially surpassing CT in detecting immature lesions. Its integration into clinical workflows may enhance osteoarthritis assessment and surgical accuracy.

References

  1. Koski et al. 2016 -- Semi-quantitative US atlas for osteophyte scoring
  2. Podlipská et al. 2016 -- Diagnostic performance of US vs MRI
  3. Al-attar et al. -- CT accuracy for calcified vs immature osteophytes

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