1.Multivoxel MR spectroscopic imaging--distinguishing intracranial tumours from non-neoplastic disease.
Veena Arpit NAGAR ; Jieru YE ; Maosheng XU ; Wai-Hoe NG ; Tseng-Tsai YEO ; Peck-Leong ONG ; C C Tchoyoson LIM
Annals of the Academy of Medicine, Singapore 2007;36(5):309-313
INTRODUCTIONMulti-voxel MR spectroscopic imaging (MRSI) provides chemical metabolite information that can supplement conventional MR imaging in the study of intracranial neoplasia. Our purpose was to use a robust semi-automated spectroscopic analysis to distinguish intracranial tumours from non-neoplastic disease.
MATERIALS AND METHODSTwenty intracranial tumours and 15 patients with non-neoplastic disease confirmed on histological examination or serial neuroimaging were studied with 2-dimensional MRSI using point-resolved spectroscopic (PRESS) imaging localisation. Using semi-automated post-processing software, spectra were analysed for peak heights of choline (Cho), creatine (Cr), N-acetyl aspartate (NAA), lactate (Lac) and lipid (Lip). Normalised Cho (nCho) ratios, computed by dividing maximum Cho in the lesion by the normal-appearing brain, were compared between intracranial tumours and non-neoplastic disease.
RESULTSMeningiomas displayed homogeneously elevated Cho. Malignant tumours, especially large glioblastoma multiforme, displayed inhomogeneity of metabolites within the tumour. All tumours had elevation of nCho >1 (mean 1.91 +/- 0.65), and non-neoplastic diseases had tumour nCho <1 (mean 0.91 +/- 0.46), which was significantly lower (P <0.05). Two patients with non-neoplastic lesions, one with subacute cerebral infarction and the other with cryptococcoma, had elevated Cho compared to normal tissue (false positive rate 13%).
CONCLUSIONUsing semi-automated MRSI method, a simplified normalised Cho algorithm provides a method to distinguish intracranial tumours from non-neoplastic disease.
Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor ; analysis ; Brain Neoplasms ; diagnosis ; metabolism ; Diagnosis, Differential ; Female ; Humans ; Magnetic Resonance Spectroscopy ; methods ; Male ; Middle Aged ; Retrospective Studies
2.The impact of impulsivity on digital addiction tendencies and related factors in Wilson disease patients
Jieru KE ; Yajie CHENG ; Gongqiang WANG ; Ping JIN ; Xinfeng MA ; Kang LIN ; Guangan TONG ; Qunrong YE ; Yongzhu HAN
Chinese Journal of Nervous and Mental Diseases 2024;50(7):423-429
Objective To explore the influence of impulsivity on digital addiction tendencies in patients with Wilson disease(WD)and its related factors.Methods A total of 66 patients with WD were included in the study which were divided into neurological WD group(42 cases)and hepatic WD group(24 cases)according to clinical manifestations.Sixty-six WD patients were included as the study subjects,including 24 cases of hepatic WD and 42 cases of neurological WD.The Chinese version of the Barratt impulsiveness scale(BIS-11-C)was used to assess patients'impulsiveness.Mobile phone addiction index(MPAI)evaluates the degree of dependence on mobile phone use.Cranial MRI was used to examine the location and cumulative frequency of the diseased brain region.Results Among the 66 WD patients,45 cases(68.2% )had the tendency of digital addiction,including 35 cases(53.0% )in the neurological WD group and 10 cases(15.2% )in the hepatic WD group.There was a statistically significant difference in the proportion of the two types of WD patients(P=0.001).The scores of BIS-11-C and MPAI scales in neurological WD group were higher than those in hepatic WD group(P<0.05).The out-of-control score in the MPAI scale is positively correlated with the attention impulsivity score(r=0.499,P=0.001),motor impulsivity score(r=0.553,P=0.001),unplanned impulsivity score(r=0.535,P=0.001),and impulse control score(r=0.653,P=0.001)in the BIS-11-C scale.Linear regression analysis showed a correlation between attention impulsivity score and frontal lobe lesions(B=-1.634,P=0.018).There was a correlation between loss of control score and frontal lobe lesions(B=-3.609,P=0.023).The withdrawal score was associated with the thalamus lesions(B=-5.047,P=0.007)and frontal lobe lesions(B=-2.204,P=0.024).Avoidance score was associated with parietal lobe lesions(B=-1.867,P=0.032).The low efficacy score was associated with the putamen lesions(B=-1.789,P=0.016)and frontal lobe lesions(B=-1.592,P=0.044).Conclusion Neurological WD patients have higher tendency of digital addiction than hepatic WD patients and the tendency of digital addiction is related to impulsivity.The digital addiction tendency of WD patients may be related to impulse control disorders caused by lesions in multiple brain regions such as the putamen,thalamus,and frontal lobe.