Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds

ConclusionsCombining an ADC threshold of 0.6 × 10−3 mm2/s with DWI reduces interobserver and inter-DLM difference and achieves best segmentation performance of AIS lesions using DLMs.Key Points•Higher Dice similarity coefficient (DSC) in predicting acute ischemic stroke lesions was achieved by ADC thresholds combined with DWI than by DWI alone (all p< .05).•DSC had a negative association with the ADC threshold in most sizes, both hospitals, and both observers (most p< .05) and a positive association with the stroke size in all ADC thresholds, both hospitals, and both observers (all p< .001).•An ADC threshold of 0.6 × 10−3mm2/s eliminated the difference of DSC at any stroke size between observers or between hospitals (p = .07 to> .99).
Source: European Radiology - Category: Radiology Source Type: research