Value of Radiomic Analysis Combined With Diffusion Tensor Imaging in Early Diagnosis of HIV‐Associated Neurocognitive Disorders

Abstract

BackgroundThe combination of radiomics and diffusion tensor imaging (DTI) may have potential clinical value in the early stage of HIV‐associated neurocognitive disorders (HAND).PurposeTo investigate the value of DTI‐based radiomics in the early stage of HAND in people living with HIV (PLWH).Study TypeRetrospective.PopulationA total of 138 male PLWH were included, including 68 with intact cognition (IC) and 70 with asymptomatic neurocognitive impairment (ANI). Seventy healthy controls (HCs) were recruited for tract‐based spatial statistics (TBSS) analysis. All PLWHs were randomly divided into training and validation cohorts at a 7:3 ratio.Field Strength/SequenceA 3 T, single‐shot spin–echo echo planar imaging (EPI).AssessmentThe differences between the PLWH groups were compared using TBSS and region of interest (ROI) analysis. Radiomic features were extracted from the corpus callosum (CC) on DTI postprocessed images, including fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD). The performance of the radiomic signatures was evaluated by ROC curve analysis. The radiomic signature with the highest area under the curve (AUC) was combined with clinical characteristics to construct a nomogram. Decision curve analysis (DCA) was performed to evaluate the ability of different methods in discriminating ANI.Statistical TestsChi‐square test, independent‐samples t test, Kruskal–Wallis test, Mann–Whitney U test, threshold‐free cluster enhancement (TFCE), ROC curve analysis, DCA, multivariate logistic regression analysis, Hosmer–Lemeshow test. P < 0.05 with TFCE corrected and P < 0.0001 without TFCE corrected were considered statistically significant.ResultsThe ANI group showed lower FA and higher AD than the IC group. In the validation cohort, the AUCs of the FA‐, AD‐, MD‐ and RD‐based radiomic signatures and the clinicoradiomic nomogram were 0.829, 0.779, 0.790, 0.864, and 0.874, respectively. DCA revealed that the nomogram was of greater clinical value than TBSS analysis, the clinical models, and the RD‐based radiomic signature.Data ConclusionThe combination of DTI and radiomics is correlated with early stage of HAND in PLWH.Evidence Level3.Technical EfficacyStage 2.