Effect of Angiofibromas on Quality of Life and Access to Care in Tuberous Sclerosis Patients and Their Caregivers.

BACKGROUND/OBJECTIVES: Facial angiofibromas (AF) have the potential to cause disfigurement in children with tuberous sclerosis complex (TSC). Facial disfigurement can impact the quality of life (QoL) of individuals and their families, leading to negative psychosocial outcomes. QoL has not been studied in TSC patients with AF. METHODS: We conducted a cross-sectional survey study to investigate QoL of TSC patients with AF and their caregivers and to explore the current state of access to treatment for AF. TSC patients and caregivers in TSC clinic at Boston Children's Hospital and through the Tuberous Sclerosis Alliance were recruited to complete QoL surveys including the CADIS, CDLQI, and Skindex-teen questionnaires, and a survey on access to treatment of AF. RESULTS: Fifty-eight patients with TSC and 161 caregivers participated in the study. Caregivers of patients with AF had significantly poorer QoL scores compared to caregivers of those without AF, as measured by a modified CADIS questionnaire (mean 31.7 vs. 11.7, p = 0.004). Among patients with AF, those who received treatment had significantly better QoL scores compared with those without treatment, as measured by the CDLQI (mean 3.8 vs. 9.5, p = 0.001). Forty-one and two-tenths percent of subjects reported never receiving treatment for AF. Forty-seven and three-tenths percent of subjects were prescribed topical rapamycin, 47.7% of whom experienced difficulty with insurance coverage. CONCLUSIONS: Presence and lack of treatment of AF significantly impacts QoL in TSC patients and their caregivers. Access to care for AF is limited by multiple factors and should be addressed by clinicians working with this patient population.

Reproducibility of Structural and Diffusion Tensor Imaging in the TACERN Multi-Center Study.

BACKGROUND: Multi-site MRI studies are often necessary for recruiting sufficiently sized samples when studying rare conditions. However, they require pooling data from multiple scanners into a single data set, and therefore it is critical to evaluate the variability of quantitative MRI measures within and across scanners used in multi-site studies. The aim of this study was to evaluate the reproducibility of structural and diffusion weighted (DW) MRI measurements acquired on seven scanners at five medical centers as part of the Tuberous Sclerosis Complex Autism Center of Excellence Research Network (TACERN) multisite study. METHODS: The American College of Radiology (ACR) phantom was imaged monthly to measure reproducibility of signal intensity and uniformity within and across seven 3T scanners from General Electric, Philips, and Siemens vendors. One healthy adult male volunteer was imaged repeatedly on all seven scanners under the TACERN structural and DW protocol (5 b = 0 s/mm2 and 30 b = 1000 s/mm2) over a period of 5 years (age 22-27 years). Reproducibility of inter- and intra-scanner brain segmentation volumes and diffusion tensor imaging metrics fractional anisotropy (FA) and mean diffusivity (MD) within white matter regions was quantified with coefficient of variation. RESULTS: The American College of Radiology Phantom signal intensity and uniformity were similar across scanners and changed little over time, with a mean intra-scanner coefficient of variation of 3.6 and 1.8%, respectively. The mean inter- and intra-scanner coefficients of variation of brain structure volumes derived from T1-weighted (T1w) images of the human phantom were 3.3 and 1.1%, respectively. The mean inter- and intra-scanner coefficients of variation of FA in white matter regions were 4.5 and 2.5%, while the mean inter- and intra-scanner coefficients of variation of MD in white matter regions were 5.4 and 1.5%. CONCLUSION: Our results suggest that volumetric and diffusion tensor imaging (DTI) measurements are highly reproducible between and within scanners and provide typical variation amplitudes that can be used as references to interpret future findings in the TACERN network.