Feasibility and possible value of quantitative semi-automated diffusion weighted imaging volumetry of neuroblastic tumors.

Sebastian GassenmaierIlias TsiflikasJörg FuchsRobert GrimmCristian UrlaMichael EsserSimon MaennlinMartin EbingerSteven W WarmannJürgen F Schäfer

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2020)

Quantitative semi-automated DWI volumetry is feasible in neuroblastic tumors with integrated analysis of tissue characteristics by providing automatically calculated ADC values of the whole tumor as well as an ADC heatmap. The 5th percentile of the ADC values of the whole tumor volume proved to be the most significant parameter for differentiation of the histopathological subtypes in our patient cohort and further investigation seems to be worthwhile.

Keyphrases

diffusion weighted imaging
contrast enhanced
magnetic resonance imaging
machine learning
deep learning
high throughput
diffusion weighted
high resolution
magnetic resonance
single cell