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Response evaluation in mesothelioma: Beyond RECIST
Lin Cheng1, Nina Tunariu2, David J Collins1
1EPSRC-CR UK Cancer Imaging Centre, Institute of Cancer Research, UK.
Lung Cancer (Amsterdam, Netherlands)
|October 8, 2015
Summary
Assessing malignant pleural mesothelioma (MPM) tumor burden is challenging due to non-spherical growth. This review explores current CT/MRI roles and highlights advanced functional imaging techniques for improved treatment response assessment.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Malignant pleural mesothelioma (MPM) exhibits non-spherical growth, complicating tumor burden assessment with traditional size-based criteria like WHO and RECIST.
- Current management relies on CT and MRI, but their limitations in accurately reflecting treatment response in MPM are recognized.
Purpose of the Study:
- To review the current applications of CT and MRI in MPM management and treatment response assessment.
- To highlight and discuss emerging functional imaging techniques that may offer improved assessment of treatment response in MPM.
Main Methods:
- Review of existing literature on CT and MRI for MPM management.
- Discussion of current size-based tumor response criteria (WHO, RECIST, mRECIST).
- Exploration of functional imaging techniques including PET, DWI, and DCE-MRI.
Main Results:
- Traditional size-based criteria face challenges in accurately assessing MPM tumor burden due to irregular growth patterns.
- Functional imaging techniques offer quantitative measurements reflecting tumor pathophysiology, potentially improving treatment response evaluation.
- PET, DWI, and DCE-MRI show promise for more accurate assessment of treatment effects in MPM.
Conclusions:
- Accurate assessment of treatment response in MPM is critical for effective patient management.
- Functional imaging techniques represent a significant advancement over traditional size-based criteria for evaluating MPM treatment efficacy.
- Further research and integration of advanced imaging modalities are needed to optimize MPM patient care.

