Apparent diffusion coefficient measurement in glioma: Influence of region‐of‐interest determination methods on apparent diffusion coefficient values, interobserver variability, time efficiency, and diagnostic ability

Abstract

3 J. Magn. Reson. Imaging 2017;45:722-730.

Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis

“…The quicker and easier single slice analysis even performed marginally better. This is in line with results of previous imaging research, which suggested that whole lesion diffusivity measurement is not always superior to ROI analysis [25, 44]. …”

“…ADC maps were co-registered to T2 imaging using the FLIRT toolbox [29, 30] performing a rigid body transformation with a six-parameter model and ‘Normalised Mutual Information’ as cost function. Subsequently, ADC mean measurements were obtained for each tumour, using the fslstats utility from fsl [25–27]. …”

“…Although theoretically superior, there is no conclusive evidence that whole lesion analysis outperforms region-of-interest placement for the identification of malignant gliomas [25]. …”

Role of the Apparent Diffusion Coefficient as a Predictor of Tumor Progression in Patients with Chordoma

“…22 In patients with residual postoperative chordoma, the tumor ADC values accurately predicted disease progression as defined by tumor volume change with time. This finding is consistent with that reported by Yeom et al, 4 who suggested that poorly differentiated chordomas have a lower ADC value compared with conventional and chondroid chordomas.…”

Dynamic contrast‐enhanced MRI in orbital lymphoproliferative disorders: Effects of region of interest selection methods on time efficiency, measurement reproducibility, and diagnostic ability

“…ROI WT can overcome this problem; however, a long postprocessing time limits its wide application . The influence of ROI selection methods on the measurement of the apparent diffusion coefficient value has been widely studied, and its influence on DCE‐MRI‐derived parameters has been only studied in patients with renal cell carcinoma and head and neck cancer …”