Background and purposeThe apparent diffusion coefficient (ADC), a potential imaging biomarker for radiotherapy response, needs to be reproducible before translation into clinical use. The aim of... Show moreBackground and purposeThe apparent diffusion coefficient (ADC), a potential imaging biomarker for radiotherapy response, needs to be reproducible before translation into clinical use. The aim of this study was to evaluate the multi-centre delineation- and calculation-related ADC variation and give recommendations to minimize it.Materials and methodsNine centres received identical diffusion-weighted and anatomical magnetic resonance images of different cancerous tumours (adrenal gland, pelvic oligo metastasis, pancreas, and prostate). All centres delineated the gross tumour volume (GTV), clinical target volume (CTV), and viable tumour volume (VTV), and calculated ADCs using both their local calculation methods and each of the following calculation conditions: b-values 0–500 vs. 150–500 s/mm2, region-of-interest (ROI)-based vs. voxel-based calculation, and mean vs. median. ADC variation was assessed using the mean coefficient of variation across delineations (CVD) and calculation methods (CVC). Absolute ADC differences between calculation conditions were evaluated using Friedman’s test. Recommendations for ADC calculation were formulated based on observations and discussions within the Elekta MRI-linac consortium image analysis working group.ResultsThe median (range) CVD and CVC were 0.06 (0.02–0.32) and 0.17 (0.08–0.26), respectively. The ADC estimates differed 18% between b-value sets and 4% between ROI/voxel-based calculation (p-values < 0.01). No significant difference was observed between mean and median (p = 0.64). Aligning calculation conditions between centres reduced CVC to 0.04 (0.01–0.16). CVD was comparable between ROI types.ConclusionOverall, calculation methods had a larger impact on ADC reproducibility compared to delineation. Based on the results, significant sources of variation were identified, which should be considered when initiating new studies, in particular multi-centre investigations. Show less
Background and purpose: Diffusion-weighted imaging (DWI) for treatment response monitoring is feasibleon hybrid magnetic resonance linear accelerator (MR-linac) systems. The MRI scanner of the... Show moreBackground and purpose: Diffusion-weighted imaging (DWI) for treatment response monitoring is feasibleon hybrid magnetic resonance linear accelerator (MR-linac) systems. The MRI scanner of the ElektaUnity system has an adjusted design compared to diagnostic scanners. We investigated its impact onmeasuring the DWI-derived apparent diffusion coefficient (ADC) regarding three aspects: the choice ofb-values, the spatial variation of the ADC, and scanning during radiation treatment. The aim of this studyis to give recommendations for accurate ADC measurements on Unity systems.Materials and methods: Signal-to-noise ratio (SNR) measurements with increasing b-values were done todetermine the highest bvalue that can be measured reliably. The spatial variation of the ADC wasassessed on six Unity systems with a cylindrical phantom of 40 cm diameter. The influence of gantry rotationand irradiation was investigated by acquiring DWI images before and during treatment of 11 prostatecancer patients.Results: On the Unity system, a maximum b-value of 500 s/mm2 should be used for ADC quantification, asa trade-off between SNR and diffusion weighting. Accurate ADC values were obtained within 7 cm fromthe iso-center, while outside this region ADC values deviated more than 5%. The ADC was not influencedby the rotating linac or irradiation during treatment.Conclusion: We provide Unity system specific recommendations for measuring the ADC. This willincrease the consistency of ADC values acquired in different centers on the Unity system, enabling largecohort studies for biomarker discovery and treatment response monitoring. Show less
