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Selective Cell Size MRI Differentiates Brain Tumors from Radiation Necrosis
Sean P Devan1,2, Xiaoyu Jiang1,3, Guozhen Luo4
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee.
Cancer Research
|July 25, 2022
Summary
A new MRI technique, selective size imaging using filters via diffusion times (SSIFT), can differentiate brain tumors from radiotherapy necrosis. This cell size-based method offers unique contrast for improved diagnosis in metastatic brain cancer patients.
Area of Science:
- Neuroimaging
- Oncology
- Radiotherapy
Background:
- Brain metastases are common in advanced lung cancer.
- Radiotherapy can cause necrosis, mimicking tumor recurrence.
- Distinguishing tumors from necrosis is crucial for patient management.
Purpose of the Study:
- To develop and validate a novel MRI technique for differentiating brain tumors from radiotherapy necrosis.
- To leverage cell size differences for improved diagnostic accuracy.
Main Methods:
- Developed selective size imaging using filters via diffusion times (SSIFT) MRI technique.
- Validated SSIFT using in silico simulations, in vitro cell cultures, and in vivo animal models.
- Applied SSIFT in patients with metastatic brain cancer and radiotherapy necrosis.
Main Results:
- SSIFT demonstrated high correlation with mean cell sizes (<20 μm).
- The technique effectively differentiated brain tumors from radiotherapy necrosis and peritumoral edema.
- SSIFT provided unique contrast based on cell size-specific mapping.
Conclusions:
- SSIFT is a novel, cell size-based MRI method for differentiating brain tumors from other pathologies.
- This technique offers a unique contrast mechanism for improved diagnosis in neuro-oncology.
- SSIFT has potential to significantly impact clinical management of brain lesions post-radiotherapy.
