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Ktrans Calculation Using Reference Method Corrected Native T10 for Breast Cancer Diagnosis.

Pradeep Singh Negi1,2, Shashi Bhushan Mehta1,2, Amarnath Jena1,2

  • 1PET Suite (Indraprastha Apollo Hospitals and House of Diagnostics), Department of Molecular Imaging and Nuclear Medicine, Indraprastha Apollo Hospitals, New Delhi, India.

Journal of Medical Physics
|June 21, 2023
PubMed
Summary

Spatial correction of T10 values using phantom data significantly improved the diagnostic accuracy of Ktrans in differentiating malignant and benign breast tumors. This enhanced characterization aids in more precise breast lesion classification.

Keywords:
Dynamic contrast-enhanced magnetic resonance imagingKtransT10molecular magnetic resonance breast coil

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biophysics

Background:

  • Accurate characterization of breast lesions using dynamic contrast-enhanced (DCE) MRI requires precise quantification of pharmacokinetic parameters like Ktrans.
  • Spatial variations in T10 values can introduce inaccuracies in Ktrans computation, potentially affecting diagnostic performance.

Purpose of the Study:

  • To develop and validate a method for correcting spatial T10 value variations in breast MRI using phantom-generated correction factors.
  • To assess the impact of T10 correction on the diagnostic accuracy of Ktrans for classifying breast tumors as malignant or benign.

Main Methods:

  • A multiple tube phantom was used to derive spatial correction factors for T10 values across different locations within a 4-channel breast coil.
  • These correction factors were applied retrospectively to DCE-MRI data from 39 patients (51 lesions) acquired on a simultaneous PET/MRI system.
  • Receiver operating characteristic (ROC) curve analysis was performed on corrected and non-corrected Ktrans values.

Main Results:

  • T10 value correction led to an improved mean Ktrans value from 0.60 min⁻¹ to 0.64 min⁻¹.
  • Diagnostic accuracy for breast lesion classification significantly improved with corrected data: sensitivity increased to 93.10%, specificity to 86.36%, and overall accuracy to 90.20%.
  • The area under the ROC curve (AUC) improved from 0.824 to 0.959, indicating enhanced classification performance.

Conclusions:

  • Normalization of T10 values using phantom-derived correction factors enhances the reliability of Ktrans computation.
  • The corrected Ktrans values demonstrate significantly improved diagnostic accuracy, leading to better characterization and classification of breast lesions.