Aging calvaria: Introduction of a numerical method to improve information extraction from computed tomography images

Conclusions The HFS method could be applied successfully. Chi2 HFS was « 0.05 in all 675 skull density histogram analyses. When MLR model calculations that use covariates from one method only were compared, the HFS method had a higher AAD prediction power. The overall ranking list is led by the models that used multiple covariates from different methods: The best correct group assignment was 62.5% (Nagelkerke's pseudo R2 (NR2) = 0.76) for females, and 51.6% (NR2 = 0.43) for males. Hence, a novel image marker was introduced, and it was shown that the use of combined methods is superior to individual methods.
Source: Journal of Forensic Radiology and Imaging - Category: Radiology Source Type: research