1 / 22

Difficulties in Glioma Diagnosis/Monitoring: Apparent Diffusion Coefficients, Magnetic Resonance Spectroscopy and th

Difficulties in Glioma Diagnosis/Monitoring: Apparent Diffusion Coefficients, Magnetic Resonance Spectroscopy and the Role of Uncertainty. Saturday, 8/29/09 Lars Ewell Department of Radiation Oncology, University of Arizona Medical Center. Ted Kennedy 1932-2009. 3.

jana
Download Presentation

Difficulties in Glioma Diagnosis/Monitoring: Apparent Diffusion Coefficients, Magnetic Resonance Spectroscopy and th

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Difficulties in Glioma Diagnosis/Monitoring: Apparent Diffusion Coefficients, Magnetic Resonance Spectroscopy and the Role of Uncertainty Saturday, 8/29/09 Lars Ewell Department of Radiation Oncology, University of Arizona Medical Center

  2. Ted Kennedy 1932-2009

  3. 3 Difficulties in Glioma Diagnosis/Monitoring: ADCs, MRS and the Role of Uncertainty • Introduction • Treatment Efficacy/Radiation Necrosis • Apparent Diffusion Coefficients • Comparison of Different Diffusion Techniques: Image Distortion vs. Signal to Noise Ratio • Magnetic Resonance Spectroscopy • Conclusion Outline

  4. 4 Glioma Tx: Radiation • Typical Tx: Resection (if possible) followed by 60Gy radiation to de-bulked region, Temozolomide. • Poor prognosis: 14.6 months median survival for GBM1, which constitute ~1/2 of all gliomas. • Brain tissue is considered to be late responding to radiation → Months to years before radiation effects are manifest. 1: NEJM , Stupp et al., 352(10): 987-996, 3/10/2005

  5. 5 Tx Efficacy vs Differential Dx Two Questions Being Addressed: • Is radiation therapy effective? • Months/Years after therapy, is enhancing lesion on contrast enhanced MRI radiation necrosis or recurrent disease?

  6. 6 Diffusion Weighted MRI: Apparent Diffusion Coefficient • Isotropic diffusion weighting sensitizes MRI signal to H2O Mobility. • If tumor is successfully treated, disease site could exhibit an increase in H2O Mobility. • The Apparent Diffusion Coefficient can, in principal, quantify this increase (or lack thereof).

  7. 7 Diffusion Weighted MRI: Apparent Diffusion Coefficient • Diffusion weighting of image decreases signal intensity. • Diffusion weighted images less robust to magnetic susceptibility inhomogeneitities near, e.g., paranasal sinus cavities. Two problems

  8. 8 Apparent Diffusion Coefficient:Sulci Density Maps • Sulci filled with CSF, which, through volume averaging, may affect ADC calculation. • Correlate sulci density with SD of pixel intensity. • See L.A. Ewell et al. / Magnetic Resonance Imaging 26 (2008) 20–25 Medial Slice Lateral Slice

  9. 9 Apparent Diffusion Coefficient • Disease site contoured by clinician on, e.g., a T2 FLAIR MRI in preparation for radiation therapy. • Lesion transcribed to DWMRI scans in order to calculate ADC. • ADC monitored longitudinally as surrogate for tumor response.

  10. 10 Apparent Diffusion Coefficient: Uncertainty with Different DW Techniques • Image distortion, especially near inhomogeneities (e.g. para-nasal sinus cavities). • Noise and the signal to noise ratio (SNR). • Radial Diffusion more robust wrt distortion, but has lower SNR. • Echo planar (most common) more susceptible to distortion. • T2 FLAIR for comparison.

  11. 11 ADC: How to Quantify Uncertainty? • SNR Straightforward (see, e.g., Firbank et. al, Phys. Med. Biol. 44 (1999) . • with μ the signal intensity in the ROI (lesion) and σair the SD of the background

  12. 12 ADC: How to Quantify Uncertainty? • Image distortion less straightforward than SNR. • Image Registration via Mutual Information (MI). • Can plot MI vs. slice number to see dependence. DWMRI(RD) DWMRI (EP) T2FLAIR

  13. 13 ADC: How to Quantify Uncertainty?

  14. 14 ADC: How to Quantify Uncertainty? • Compare normalized SNR difference (EP – RD) vs. normalized MI difference (EP – RD) and plot vs. slice number. • Submitted Image Distortion vs. Noise in DWMRI Scans: Different Diffusion Weighting Techniques Compared via Image Registration to the journal MRI (Elsevier).

  15. 15 ADC – Longitudinal Monitoring Radial Diffusion vs. Echo Planar Echo Planar Radial Diffusion

  16. 16 Magnetic Resonance Spectroscopy • Metabolite ratios have been show to have the ability to differentiate recurrent tumor from radiation necrosis. • MRS has at least two challenges associated with it: 1) Resolution and 2) Uncertainty. Metabolite Ratio Weybright et al., Neuroradiology (2004) 46: 541–549 Recurrent Tumor Radiation Necrosis White Matter

  17. 17 Magnetic Resonance Spectroscopy • Multivoxel grid allows for contra-lateral comparison. • Initially used 1x1x1cm voxel grid in imaging protocol. • Switched to 2x2x1cm grid (displayed) due to spectra quality.

  18. 18 Magnetic Resonance Spectroscopy • Various different phenomena, e.g., lactate/lipid peaks and background selection affect peak area. • Subtraction of background allows for more straightforward ratio calculation. • Labor intensive. • Still assessing how to quantify uncertainty.

  19. 19 Difficulties in Glioma Diagnosis/Monitoring: ADCs, MRS and the Role of Uncertainty Conclusions • Uncertainty is an important, and often overlooked, consideration when using DWMRI to asses disease diagnosis/monitoring. • Image registration with a non-diffusion weighted image is a useful way to quantify image distortion. • Image distortion and noise should be compared to see which may have the largest effect. • Uncertainty in MRS is a challenging part of using this imaging modality.

  20. 20 Acknowledgement University of Arizona Amarjeet Bhullar(PhD) Baldassarre Stea (MD, PhD) Department of Electrical/Computer Engineering Naren Vijayakumar (MS) Joshua Kim (MS) Jeffrey Rodriguez (PhD) King College, Bristol TN Morgan Gillie (BS) Department of Radiation Oncology This work funded by a grant from the Arizona Biomedical Research Commission

  21. 21 Echo Planar Adjustment: PROPELLER • Pipe JG, Farthing VG, Forbes KP. Multishot diffusion-weighted FSE using PROPELLER MRI. Magn Reson Med 2002;47(1):42–52. • PROPELLER – Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction

  22. Radial Diffusion • Fourier data collected along radial lines. • See Sarlls et al. Isotropic Diffusion Weighting in Radial Fast Spin-Echo Magnetic Resonance Imaging, Magnetic Resonance in Medicine 53:1347–1354 (2005).

More Related