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Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.

Yangming Ou1, Susan P Weinstein1, Emily F Conant1

  • 1Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

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Summary

The attribute-based DRAMMS deformable registration method accurately registers longitudinal breast MRI scans, outperforming intensity-based methods for quantifying tumor changes during neoadjuvant chemotherapy.

Keywords:
breast cancerdeformable image registrationevaluationlongitudinal breast MRItreatmenttumor changes

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Area of Science:

  • Medical Imaging
  • Radiology
  • Computational Biology

Background:

  • Longitudinal breast MRI registration is crucial for monitoring treatment response.
  • Accurate registration facilitates quantitative analysis of tumor changes.
  • Existing intensity-based deformable registration methods have limitations in accuracy.

Purpose of the Study:

  • To evaluate the attribute-based DRAMMS deformable registration algorithm against intensity-based methods for longitudinal breast MRI.
  • To assess DRAMMS's applicability in quantifying tumor volume changes during neoadjuvant chemotherapy.

Main Methods:

  • DRAMMS and five intensity-based deformable registration algorithms were compared using breast MRI data from 14 women.
  • Accuracy was assessed using 2,380 expert-annotated landmarks across different image regions and patient subgroups.
  • Tumor changes were quantified using Jacobian determinant maps derived from the best-performing registration method.

Main Results:

  • DRAMMS achieved the lowest landmark error (6.05 ± 4.86 mm), outperforming all evaluated intensity-based methods.
  • Intensity-based methods showed higher errors: CC-FFD (8.07 ± 3.86 mm), NMI-FFD (8.21 ± 3.81 mm), SSD-FFD (9.46 ± 4.55 mm), Demons (10.76 ± 6.01 mm), and Diffeomorphic Demons (10.82 ± 6.11 mm).
  • Registration accuracy varied based on tumor versus normal tissue regions and patient subgroups.

Conclusions:

  • The attribute-matching DRAMMS deformable registration method demonstrates superior accuracy for longitudinal breast MRI compared to intensity-matching techniques.
  • DRAMMS offers a valuable tool for precise quantification of heterogeneous tumor changes, serving as a biomarker for treatment response.
  • Improved registration accuracy can enhance the monitoring of therapeutic efficacy in breast cancer.