Simultaneous T2 and ADC Mapping via MQMOLED MRI for Brain Tumor Differentiation

Motivation: To improve the preoperative differentiation of brain tumors such as meningiomas, gliomas, and schwannomas, crucial for treatment planning and prognosis. Goal(s): The objective is to assess the efficacy of simultaneous T2 and ADC mapping using a novel MQMOLED MRI technique for distinguishing among these tumors. Approach: The study utilized the MQMOLED technique on 117 patients to simultaneously capture whole-brain T2 and ADC maps within 110 seconds, followed by a deep learning-enhanced analysis of these images. Results: Significant differences in T2 and ADC values were noted among the tumor types, with multivariate logistic regression models achieving high diagnostic accuracy, evidenced by superior AUC values. Impact: The MQMOLED's rapid, reliable tumor differentiation capability could transform preoperative diagnostics, enabling tailored treatment approaches and potentially improving patient outcomes by precisely identifying tumor types, thus guiding more effective therapeutic interventions.