Symmetrical Central Tegmental Tract Hyperintensity on T2-weighted Images in Pediatrics: A Systematic Review

AbstractPurpose: The aim of the present study is to provide a systematic literature review of the current evidence about the Central Tegmental Tract Hyperintensity (CTTH).Methods: The literature search was performed on December 2017 using Medline PubMed, Google Scholar and Cochrane Central databases. Statistical analysis was performed using Kolmogorov-Smirnov, chi-square and the Mann-Whitney U tests.Results: Twenty publications were included. Of these, 11 were retrospective studies and 9 were case reports. In total, CTTH was reported in 226 cases. The age parameter showed a significantly non-Gaussian distribution (KS test; p-value < 0.001). The median age was 1,83 years (range: 7 days – 21 years; P25 = 1.00 year, P75 = 3.00 years; IQR = 2 years). The two most common clinical conditions associated to CTTH were cerebral palsy (51 cases; 22.6%) and glutaric aciduria type 1 (50 cases; 22.10%). CTTH was often found in the absence of other concomitant brain MRI abnormalities (32 cases; 21.8%).Conclusions: CTTH is an uncommon neuroimaging finding that is mainly related to the acquisition\improvement of a physiologicalmotor developmental process. The finding is influenced by hypoxic ischemic and toxic?metabolic factors. Data regarding DWI and follow-up are largely unreported and deserve to be further explored

Reproducibility of hormone-driven regional grey matter volume changes in women using SPM8 and SPM12

Aim of this work was to evaluate the reproducibility of hormone driven regional grey matter volume differences in women, and their correlations with premenstrual symptoms, as determined by voxel-based morphometry (VBM). After data quality control, a total of 138 T1-weighted MR images were included in this longitudinal study, and were analyzed as three different subgroups. Women with a natural menstrual cycle were scanned at three time-points: follicular, ovulatory and luteal phase. Two groups of women, using androgenic and anti-androgenic hormonal contraceptives, respectively, were scanned twice: during the pill-free week and during pill intake. Additionally, subjects were asked to complete a "daily rating of severity of problems" questionnaire, to quantify premenstrual symptoms. All data were analyzed using SPM8 and SPM12 with identical parameter settings. In the natural menstrual cycle group, the regional grey matter volume of the insula is larger at ovulation, as compared to the luteal phase. Premenstrual symptoms correlate differently with regional grey matter volumes between women with a natural cycle and hormonal contraceptive users. Changes in hormonal environment can to various extents affect VBM findings in women. We suggest that researchers take these confounding factors into account while applying this technique, to avoid heterogeneity in data acquisition and to safeguard the sensitivity of findings. Additionally, we suggest validating the consistency of results using more than one software package

Reproducibility of hormone-driven regional grey matter volume changes in women using SPM8 and SPM12

Aim of this work was to evaluate the reproducibility of hormone driven regional grey matter volume differences in women, and their correlations with premenstrual symptoms, as determined by voxel-based morphometry (VBM). After data quality control, a total of 138 T1-weighted MR images were included in this longitudinal study, and were analyzed as three different subgroups. Women with a natural menstrual cycle were scanned at three time-points: follicular, ovulatory and luteal phase. Two groups of women, using androgenic and anti-androgenic hormonal contraceptives, respectively, were scanned twice: during the pill-free week and during pill intake. Additionally, subjects were asked to complete a "daily rating of severity of problems" questionnaire, to quantify premenstrual symptoms. All data were analyzed using SPM8 and SPM12 with identical parameter settings. In the natural menstrual cycle group, the regional grey matter volume of the insula is larger at ovulation, as compared to the luteal phase. Premenstrual symptoms correlate differently with regional grey matter volumes between women with a natural cycle and hormonal contraceptive users. Changes in hormonal environment can to various extents affect VBM findings in women. We suggest that researchers take these confounding factors into account while applying this technique, to avoid heterogeneity in data acquisition and to safeguard the sensitivity of findings. Additionally, we suggest validating the consistency of results using more than one software package