Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer.
Niels W SchurinkSimon R van KranenJoost J M van GriethuysenSander RobertiPetur SnaebjornssonFrans C H BakersShira H de BieGerlof P T BosmaVincent C CappendijkRemy W F GeenenPeter A NeijenhuisGerald M PetersonCornelis J VeekenRoy F A VliegenFemke P PetersNino BogveradzeNajim El KhababiMax J LahayeMonique MaasGeerard L BeetsRegina G H Beets-TanDoenja M J LambregtsPublished in: European radiology (2023)
This multicenter study combining clinical information and features derived from MRI rendered disappointing performance to predict response to neoadjuvant treatment in rectal cancer. Best results were obtained with the combination of clinical baseline information and state-of-the-art image-based staging variables, highlighting the importance of good quality staging according to current guidelines and staging templates. No added value was found for quantitative imaging features in this multicenter retrospective study. This is likely related to acquisition variations, which is a major problem for feature reproducibility and thus model generalizability.