Purpose: We corrected the axial lengths of the macular and peripapillary significance maps using software embedded in a commercial spectral domain optical coherence tomography (SD-OCT) package. We evaluated the accuracy of glaucoma diagnosis in patients with high myopia, and the clinical implications. Methods: Seventy eyes of 70 highly myopic patients with or without normal-tension glaucoma were retrospectively reviewed. The sensitivities and specificities of the color-coded significance maps were calculated using 1% (red) or 5% (yellow) as the abnormality criteria, and the values compared before and after axial length corrections performed using embedded SD-OCT software. Results: At the 1% level of the normative database, we found no significant difference in specificity or sensitivity. At the 5% level, the increase in specificity was significant only for the inferotemporal sectors of the macular significance map. The specificity of the inferotemporal sector of the inner scan circle increased from 61.9 to 78.6% (p = 0.016) and that of the outer scan circle from 69 to 83.8% (p = 0.031). The specificities of the entire chart, the superior sector of the superior/inferior chart, and the 12-clockwise map increased significantly from 54.8 to 78.6% (p = 0.002), 59.5 to 76.2% (p = 0.039), and 59.5 to 76.2% (p = 0.002) respectively. Conclusions Clinicians should note that axial length correction of significance maps reduces the false-positive glaucoma diagnostic rates in highly myopic eyes. Correction of significance maps using embedded software may thus aid clinicians in the diagnosis of glaucoma in high myopic eyes.

No abstract available.
Mononeuropathies ; Purpura

Background: and Purpose: Although dementia with Lewy bodies (DLB) is the second most common cause of neurodegenerative dementia, its clinical prevalence is low. We developed a short and easy-to-complete DLB screening questionnaire (DLBSQ) to raise diagnostic sensitivity in routine clinical settings. Methods: A total of 501 participants were retrospectively enrolled, including 71 controls, 184 patients without DLB, and 246 patients with probable DLB. All patients underwent clinical evaluation, including core features of DLB, the DLBSQ, brain magnetic resonance imaging, and detailed neuropsychological assessments. The diagnostic performance of the DLBSQ for probable DLB was investigated using a receiver operating characteristic curve analysis. Results: Total DLBSQ score was associated with visuospatial and frontal/executive dysfunction and the diagnosis of probable DLB. The area under the receiver operating characteristic curve for total DLBSQ score was 0.727. Youden’s method revealed an optimal cutoff value of 3. The sensitivity and specificity of the DLBSQ were 68.7% and 62.4%, respectively. Its discriminating performance improved when cognitive test profiles were additionally considered (area under the curve: 0.822, sensitivity: 80.6%, and specificity: 70.4%). Conclusions The DLBSQ might be a useful screening tool for DLB in routine clinical practice with good sensitivity and specificity.

BACKGROUND: Although a common shoulder disease, there are no accepted classification criteria for frozen shoulder (FS). This study therefore aimed to evaluate the accuracy of the conventionally used FS classification system. METHODS: Primary FS patients (n=168) who visited our clinic from January 2010 to July 2015 were included in the study. After confirming restrictions of the glenohumeral joint motion and absence of history of systemic disease, trauma, shoulder surgery, shoulder muscle weakness, or specific x-ray abnormalities, the Zuckerman and Rokito's classification was employed for diagnosing primary FS. Following clinical diagnosis, each patient underwent a shoulder magnetic resonance imaging (MRI) and blood tests (lipid profile, glucose, hemoglobin A1c, and thyroid function). Based on the results of the blood tests and MRIs, the patients were reclassified, using the criteria proposed by Zuckerman and Rokito. RESULTS: New diagnoses were ascertained including blood test results (16 patients with diabetes, 43 with thyroid abnormalities, and 149 with dyslipidemia), and MRI revealed intra-articular lesions in 81 patients (48.2%). After re-categorization based on the above findings, only 5 patients (3.0%) were classified having primary FS. The remaining 163 patients (97.0%) had either undiagnosed systemic or intrinsic abnormalities (89 patients), whereas 74 patients had both. CONCLUSIONS: These findings demonstrate that most patients clinically diagnosed with primary FS had undiagnosed systemic abnormalities and/or intra-articular pathologies. Therefore, a modification of the Zuckerman and Rokito's classification system for FS may be required to include the frequent combinations, rather than having a separate representation of systemic abnormalities and intrinsic causes.
Bursitis ; Classification ; Diagnosis ; Glucose ; Hematologic Tests ; Humans ; Magnetic Resonance Imaging ; Muscle Weakness ; Pathology ; Shoulder ; Shoulder Joint ; Thyroid Gland

Background: and Purpose To determine the imaging characteristics and cutoff value of18F-florapronol (FC119S) quantitative analysis for detecting β-amyloid positivity and Al- zheimer’s disease (AD), we compared the findings of FC119S and 18F-florbetaben (FBB) positron-emission tomography (PET) in patients with cognitive impairment. Methods: We prospectively enrolled 35 patients with cognitive impairment who underwent FBB-PET, FC119S-PET, and brain magnetic resonance imaging. We measured global and vertex-wise standardized uptake value ratios (SUVRs) using a surface-based method with the cerebellar gray matter as reference. Optimal global FC119S SUVR cutoffs were determined using receiver operating characteristic curves for β-amyloid positivity based on the global FBB SUVR of 1.478 and presence of AD, respectively. We evaluated the global and vertex-wise SUVR correlations between the two tracers. In addition, we performed correlation analysis for global or vertex-wise SUVR of each tracer with the vertex-wise cortical thicknesses. Results: The optimal global FC119S SUVR cutoff value was 1.385 both for detecting β-amyloid positivity and for detecting AD. Based on the global SUVR cutoff value of each tracer, 32 (91.4%) patients had concordant β-amyloid positivity. The SUVRs of FC119S and FBB had strong global (r=0.72) and vertex-wise (r>0.7) correlations in the overall cortices, except for the parietal and temporal cortices (0.4Conclusions Quantitative FC119S-PET analysis provided reliable information for detecting β-amyloid deposition and the presence of AD.