Application value of amide proton transfer combined with quantitative susceptibility mapping in the diagnosis of Parkinson's disease

HOU Pengfei; HAN Xue; WANG Hong; JU Chao; ZHANG Fulan; HAO Lu

doi:10.12122/j.issn.1674-4500.2024.03.01

Abstract：Objective To explore the clinical application value of amide proton transfer(APT)and quantitative susceptibility mapping(QSM)for the diagnosis of Parkinson's disease(PD).Methods A total of 38 patients who were diagnosed with PD in the Second Affiliated Hospital of Xinjiang Medical University from June 2022 to June 2023 were included as the PD group,and 22 matched healthy control volunteers were recruited during the same period.QSM and APT images of all subjects were collected.The magnetic susceptibility value(MSV)and magnetization transfer asymmetry(MTRasym)of the substantia nigra region were obtained.The prediction probability of the combined diagnosis of two kinds of parameters was modeled by Logistics regression,and the diagnostic efficiency of the single imaging technology and the combined diagnosis of two kinds of imaging technology was compared by the ROC curve.Results Compared with the healthy control group,the average MSV value of substantia nigra in the PD group was significantly higher,while the average MTRasym value of substantia nigra in the PD group was significantly lower(P<0.001).MSV value of substantia nigra on the more heavily affected side was higher than that on the less lightly affected side(P<0.001),and MTRasym value of substantia nigra on the more heavily affected side was lower than that on the less lightly affected side(P<0.05).Using the average values of bilateral substantia nigra,the area under the ROC curve of APT,QSM and QSM combined with APT were 0.812,0.873,0.897.While using the values of the more affected side,the area under the ROC curve of QSM combined with APT was 0.928.Conclusion Both QSM and APT have high diagnostic efficacy for PD.QSM combined with APT has higher diagnostic efficacy for PD compared with QSM or APT alone and can provide an imaging basis for accurate diagnosis of PD.