Frameless linac-based stereotactic radiosurgery (SRS) for brain metastases: analysis of patient repositioning using a mask fixation system and clinical outcomes

<p>Abstract</p> <p>Purpose</p> <p>To assess the accuracy of patient repositioning and clinical outcomes of frameless stereotactic radiosurgery (SRS) for brain metastases using a stereotactic mask fixation system.</p> <p>Patients and Methods</p> <p>One hundred two patients treated consecutively with frameless SRS as primary treatment at University of Rome Sapienza Sant'Andrea Hospital between October 2008 and April 2010 and followed prospectively were involved in the study. A commercial stereotactic mask fixation system (BrainLab) was used for patient immobilization. A computerized tomography (CT) scan obtained immediately before SRS was used to evaluate the accuracy of patient repositioning in the mask by comparing the isocenter position to the isocenter position established in the planning CT. Deviations of isocenter coordinates in each direction and 3D displacement were calculated. Overall survival, brain control, and local control were estimated using the Kaplan-Meier method calculated from the time of SRS.</p> <p>Results</p> <p>The mean measured isocenter displacements were 0.12 mm (SD 0.35 mm) in the lateral direction, 0.2 mm (SD 0.4 mm) in the anteroposterior, and 0.4 mm (SD 0.6 mm) in craniocaudal direction. The maximum displacement of 2.1 mm was seen in craniocaudal direction. The mean 3D displacement was 0.5 mm (SD 0.7 mm), being maximum 2.9 mm. The median survival was 15.5 months, and 1-year and 2-year survival rates were 58% and 24%, respectively. Nine patients recurred locally after SRS, with 1-year and 2-year local control rates of 91% and 82%, respectively. Stable extracranial disease (P = 0.001) and KPS > 70 (P = 0.01) were independent predictors of survival.</p> <p>Conclusions</p> <p>Frameless SRS is an effective treatment in the management of patients with brain metastases. The presented non-invasive mask-based fixation stereotactic system is associated with a high degree of patient repositioning accuracy; however, a careful evaluation is essential since occasional errors up to 3 mm may occur.</p

Genetic testing in patients with retinitis pigmentosa: Features of unsolved cases

Importance Uncommon characteristics in genetically unsolved retinitis pigmentosa (RP) patients may indicate an incorrect clinical diagnosis or as yet unknown genetic causes resulting in specific retinal phenotypes. The diagnostic yield of targeted next-generation sequencing may be increased by a reasonable preselection of RP-patients. Background To systematically evaluate and compare features of genetically solved and unsolved RP-patients. Design Retrospective, observational study. Participants One-hundred and twelve consecutive RP-patients who underwent extensive molecular genetic analysis. Methods Characterization of patients based on multimodal imaging and medical history. Main Outcome Measures Differences between genetically solved and unsolved RP-patients. Results Compared to genetically solved patients (n = 77), genetically unsolved patients (n = 35) more frequently had an age of disease-onset above 30 years (60% vs 8%; P < 0.0001), showed atypical fundus features (49% vs 8%; P < 0. 0001) and indicators for phenocopies (eg, autoimmune diseases) (17% vs 0%; P < 0. 001). Evidence for a particular inheritance pattern was less common (20% vs 49%; P < 0. 01). The diagnostic yield was 84% (71/85) in patients with first symptoms below 30 years-of-age, compared to 69% (77/112) in the overall cohort. The other selection criteria alone or in combination resulted in limited further increase of the diagnostic yield (up to 89%) while excluding considerably more patients (up to 56%) from genetic testing. Conclusions and Relevance The medical history and retinal phenotype differ between genetically solved and a subgroup of unsolved RP-patients, which may reflect undetected genotypes or retinal conditions mimicking RP. Patient stratification may inform on the individual likelihood of identifying disease-causing mutations and may impact patient counselling