Purpose: To analyze the influence of different b-value combinations on apparent diffusion coefficient (ADC)-based differentiation of known malignant and benign tissue in cervical cancer patients.
Materials and Methods:A total of 35 patients with stage IB1, IB2, IIA cervical cancer underwent a 3.0T MRI scan prior to radical hysterectomy and pelvic lymph node dissection. Conventional T1-and T2-weighted sequences and a diffusion-weighted sequence (b ÂŒ 0, 150, 500, 1000 seconds/mm 2 ) were performed. Regions-of-interest (ROI) were drawn on ADC maps derived from five different bvalue combinations (0, 500; 0, 150, 500; 0, 1000; 0, 150, 500, 1000; 150, 500, 1000 seconds/mm 2 ). The influence of the b-value combination on ADC-based differentiation of benign and malignant tissue was analyzed using receiveroperating-characteristics curves.Results: For all b-value combinations, ADCs were significantly lower (P < 0.001) in cervical malignancies (1.15 6 0.21Ă10 Conclusion: ADC-based differentiation of benign from malignant cervical tissue is independent of the tested bvalue combinations. The results support the inclusion and possible pooling of studies using different b-value combinations in meta-analyses on ADC-based tissue differentiation in cervical cancer.