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Challenges for the functional diffusion map in pediatric brain tumors.

Matthew Grech-Sollars¹, Dawn E Saunders, Kim P Phipps

¹Imaging and Biophysics Unit, UCL Institute of Child Health, University College London, London, UK (M.G-S., J.D.C., C.A.C.); Department of Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK (D.E.S.); Department of Neuro-oncology, Great Ormond Street Hospital for Children NHS Foundation Trust, London UK (K.P.P.); Neural Development Unit, Birth Defects Research Centre, UCL Institute of Child Health, University College London, London, UK (S.M.L.P., T.S.J.); Department of Histopathology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK (S.M.L.P., T.S.J.).

|December 6, 2013

Summary

This summary is machine-generated.

The functional diffusion map (fDM) shows promise for assessing tumor treatment response. However, necrosis, tumor grade, and size changes can affect fDM interpretation, requiring careful consideration for accurate results.

Keywords:

apparent diffusion coefficient childhood tumors diffusion-weighted magnetic resonance imaging functional diffusion map parametric response map

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Area of Science:

Radiology
Oncology
Medical Imaging

Background:

The functional diffusion map (fDM) is a potential tool for early detection of tumor treatment efficacy.
Factors like necrosis, tumor grade, and size changes may confound fDM analysis.
Understanding these confounders is crucial for accurate interpretation.

Purpose of the Study:

To investigate the impact of necrosis, tumor grade, and tumor size changes on functional diffusion map (fDM) findings.
To evaluate the reliability of fDM in assessing treatment response in pediatric brain tumors.

Main Methods:

Retrospective analysis of 34 pediatric brain tumor patients.
Qualitative comparison of fDM findings with clinical reports to assess confounder effects.
Examination of necrosis, tumor grade, and size change influence on fDM.

Main Results:

fDM in necrotic areas does not reliably distinguish treatment response from progression.
Tumor grade significantly alters fDM behavior: decreased ADC indicates progression in high-grade and response in low-grade tumors.
Tumor area overlap between time points is suggested for fDM analysis in tumors of varying sizes.

Conclusions:

Interpreting fDM requires considering tumor biology, necrosis, grade, and size changes.
Accurate assessment of treatment efficacy using fDM necessitates accounting for these potential confounders.
Further refinement of fDM interpretation guidelines is needed for clinical application.