Yi Li, Tingting Yuan, Lulu Gao, Wei Sun, Xiaoxiao Du, Zhihui Sun, Kangli Fan, Ruqing Qiu, Ying Zhang
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All subjects underwent QSM imaging and 3D T1WI with manual quantification of regions of interest (ROI) and morphometry. ROIs were selected in the basal ganglia and brainstem nuclei, such as the putamen (Pu), globus pallidus (GP), and red nucleus (RN). Morphometry included magnetic resonance Parkinson's disease index (MRPI), the midbrain area-pons area ratio (M/P), and the ratio of vertical line of the long axis of the midbrain and pons (Ratio). Differential variables between groups were extracted and a binary logistic regression was established to differentiate the differential diagnosis between PD and APS and between diseases within APS. The diagnostic value was assessed using the area under the curve (AUC), sensitivity, and specificity.</p><p><strong>Results: </strong>The combination of Pu and GP performed best when used to distinguish PD from MSA-P, with an AUC of 0.800 (95% CI 0.664-0.936). The AUC was optimal when MRPI and M/P were combined to distinguish PD from MSA-C at 0.823 (95% CI 0.686-0.960). Ratio alone performed best in differentiating PD from PSP, with an AUC of 0.848 (95% CI 0.711-0.985). The AUC for Ratio alone in distinguishing MSA-P from PSP was 0.871 (95% CI 0.738-1.0). The AUC when using only M/P to distinguish MSA-C from PSP was 0.931 (95% CI 0.845-1.0). QSM and morphometry each offer distinct advantages in the differential diagnosis among the aforementioned groups. The combination of QSM and morphometry provided the highest diagnostic value in differentiating PD from APS, highlighting the significance of integrating these two imaging techniques for enhanced diagnostic precision in clinical practice. The best indicators described above showed equally high differential diagnostic values in patients with a disease duration of ≤ 3 years.</p><p><strong>Conclusions: </strong>QSM and morphometry will improve the differential diagnosis between PD and APS, as well as improve the internal diagnosis of APS.</p><p><strong>Abbreviations: </strong>PD = Parkinson's Disease; MSA = Multiple System Atrophy; MSA-P = Multiple System Atrophy parkinsonian subtype; MSA-C = Multiple System Atrophy cerebellar subtype; PSP =Progressive Supranuclear Palsy; QSM = quantitative susceptibility mapping; Pu = Putamen; GP = Globus Pallidus; RN = Red Nucleus; MRPI = magnetic resonance parkinsonism index; M/P = midbrain area-pons area ratio; Ratio = the ratio of vertical line of the long axis of the midbrain and pons; AUC =area under the curve.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. 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Integrating quantitative susceptibility mapping (QSM) and morphometry can help differentiate PD from APS and improve the internal diagnosis of APS.</p><p><strong>Materials and methods: </strong>In this retrospective study, we enrolled 55 patients with PD, 17 with MSA-parkinsonian type (MSA-P), 15 with MSA-cerebellar type (MSA-C), and 14 with PSP. Thirty-three age-matched healthy subjects served as controls. All subjects underwent QSM imaging and 3D T1WI with manual quantification of regions of interest (ROI) and morphometry. ROIs were selected in the basal ganglia and brainstem nuclei, such as the putamen (Pu), globus pallidus (GP), and red nucleus (RN). Morphometry included magnetic resonance Parkinson's disease index (MRPI), the midbrain area-pons area ratio (M/P), and the ratio of vertical line of the long axis of the midbrain and pons (Ratio). Differential variables between groups were extracted and a binary logistic regression was established to differentiate the differential diagnosis between PD and APS and between diseases within APS. The diagnostic value was assessed using the area under the curve (AUC), sensitivity, and specificity.</p><p><strong>Results: </strong>The combination of Pu and GP performed best when used to distinguish PD from MSA-P, with an AUC of 0.800 (95% CI 0.664-0.936). The AUC was optimal when MRPI and M/P were combined to distinguish PD from MSA-C at 0.823 (95% CI 0.686-0.960). Ratio alone performed best in differentiating PD from PSP, with an AUC of 0.848 (95% CI 0.711-0.985). The AUC for Ratio alone in distinguishing MSA-P from PSP was 0.871 (95% CI 0.738-1.0). The AUC when using only M/P to distinguish MSA-C from PSP was 0.931 (95% CI 0.845-1.0). QSM and morphometry each offer distinct advantages in the differential diagnosis among the aforementioned groups. The combination of QSM and morphometry provided the highest diagnostic value in differentiating PD from APS, highlighting the significance of integrating these two imaging techniques for enhanced diagnostic precision in clinical practice. The best indicators described above showed equally high differential diagnostic values in patients with a disease duration of ≤ 3 years.</p><p><strong>Conclusions: </strong>QSM and morphometry will improve the differential diagnosis between PD and APS, as well as improve the internal diagnosis of APS.</p><p><strong>Abbreviations: </strong>PD = Parkinson's Disease; MSA = Multiple System Atrophy; MSA-P = Multiple System Atrophy parkinsonian subtype; MSA-C = Multiple System Atrophy cerebellar subtype; PSP =Progressive Supranuclear Palsy; QSM = quantitative susceptibility mapping; Pu = Putamen; GP = Globus Pallidus; RN = Red Nucleus; MRPI = magnetic resonance parkinsonism index; M/P = midbrain area-pons area ratio; Ratio = the ratio of vertical line of the long axis of the midbrain and pons; AUC =area under the curve.</p>\",\"PeriodicalId\":93863,\"journal\":{\"name\":\"AJNR. 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引用次数: 0
摘要
背景与目的:帕金森病(PD)与非典型帕金森综合征(APS)(包括多系统萎缩(MSA)和进行性核上性麻痹(PSP))的鉴别具有挑战性,且没有金标准。结合定量敏感性制图(QSM)和形态计量学,有助于区分PD和APS,提高APS的内部诊断。材料和方法:在这项回顾性研究中,我们招募了55例PD患者,其中17例为msa -帕金森型(MSA-P), 15例为msa -小脑型(MSA-C), 14例为PSP。33名年龄匹配的健康受试者作为对照。所有受试者进行QSM成像和3D T1WI,人工量化感兴趣区域(ROI)和形态测定。在基底节区和脑干核区选择roi,如壳核(Pu)、苍白球(GP)和红核(RN)。形态学测量包括磁共振帕金森病指数(MRPI)、中脑面积-脑桥面积比(M/P)、中脑与脑桥长轴垂直线比(ratio)。提取各组之间的差异变量,建立二元逻辑回归,以区分PD和APS之间以及APS内部疾病之间的鉴别诊断。采用曲线下面积(AUC)、敏感性和特异性评估诊断价值。结果:Pu和GP联合用于PD和MSA-P的鉴别效果最好,AUC为0.800 (95% CI 0.664 ~ 0.936)。当MRPI和M/P联合用于区分PD和MSA-C时,AUC为0.823 (95% CI 0.686-0.960)。单独Ratio在区分PD和PSP方面效果最好,AUC为0.848 (95% CI 0.711-0.985)。单独Ratio区分MSA-P和PSP的AUC为0.871 (95% CI 0.738-1.0)。仅用M/P区分MSA-C与PSP的AUC为0.931 (95% CI 0.845-1.0)。QSM和形态测定法在上述组的鉴别诊断中各有其独特的优势。QSM和形态学结合在PD和APS的鉴别诊断中提供了最高的诊断价值,突出了结合这两种成像技术在临床实践中提高诊断精度的意义。上述最佳指标在病程≤3年的患者中具有同样高的鉴别诊断价值。结论:QSM和形态测定法可提高PD与APS的鉴别诊断,并可提高APS的内部诊断。缩写:PD =帕金森病;多系统萎缩;MSA-P =多系统萎缩性帕金森亚型;MSA-C =多系统萎缩小脑亚型;进行性核上性麻痹;QSM =定量敏感性图;Pu =壳核;苍白球;RN =红核;磁共振帕金森病指数;M/P =中脑面积-脑桥面积比;比值=中脑长轴与脑桥的垂直线之比;AUC =曲线下面积。
The value of quantitative susceptibility mapping and morphometry in the differential diagnosis of Parkinsonism.
Background and purpose: Differentiating Parkinson's Disease (PD) from Atypical Parkinsonism Syndrome (APS), including Multiple System Atrophy (MSA) and Progressive Supranuclear Palsy (PSP), is challenging, and there is no gold standard. Integrating quantitative susceptibility mapping (QSM) and morphometry can help differentiate PD from APS and improve the internal diagnosis of APS.
Materials and methods: In this retrospective study, we enrolled 55 patients with PD, 17 with MSA-parkinsonian type (MSA-P), 15 with MSA-cerebellar type (MSA-C), and 14 with PSP. Thirty-three age-matched healthy subjects served as controls. All subjects underwent QSM imaging and 3D T1WI with manual quantification of regions of interest (ROI) and morphometry. ROIs were selected in the basal ganglia and brainstem nuclei, such as the putamen (Pu), globus pallidus (GP), and red nucleus (RN). Morphometry included magnetic resonance Parkinson's disease index (MRPI), the midbrain area-pons area ratio (M/P), and the ratio of vertical line of the long axis of the midbrain and pons (Ratio). Differential variables between groups were extracted and a binary logistic regression was established to differentiate the differential diagnosis between PD and APS and between diseases within APS. The diagnostic value was assessed using the area under the curve (AUC), sensitivity, and specificity.
Results: The combination of Pu and GP performed best when used to distinguish PD from MSA-P, with an AUC of 0.800 (95% CI 0.664-0.936). The AUC was optimal when MRPI and M/P were combined to distinguish PD from MSA-C at 0.823 (95% CI 0.686-0.960). Ratio alone performed best in differentiating PD from PSP, with an AUC of 0.848 (95% CI 0.711-0.985). The AUC for Ratio alone in distinguishing MSA-P from PSP was 0.871 (95% CI 0.738-1.0). The AUC when using only M/P to distinguish MSA-C from PSP was 0.931 (95% CI 0.845-1.0). QSM and morphometry each offer distinct advantages in the differential diagnosis among the aforementioned groups. The combination of QSM and morphometry provided the highest diagnostic value in differentiating PD from APS, highlighting the significance of integrating these two imaging techniques for enhanced diagnostic precision in clinical practice. The best indicators described above showed equally high differential diagnostic values in patients with a disease duration of ≤ 3 years.
Conclusions: QSM and morphometry will improve the differential diagnosis between PD and APS, as well as improve the internal diagnosis of APS.
Abbreviations: PD = Parkinson's Disease; MSA = Multiple System Atrophy; MSA-P = Multiple System Atrophy parkinsonian subtype; MSA-C = Multiple System Atrophy cerebellar subtype; PSP =Progressive Supranuclear Palsy; QSM = quantitative susceptibility mapping; Pu = Putamen; GP = Globus Pallidus; RN = Red Nucleus; MRPI = magnetic resonance parkinsonism index; M/P = midbrain area-pons area ratio; Ratio = the ratio of vertical line of the long axis of the midbrain and pons; AUC =area under the curve.