Background Brain tumor cells invade adjacent normal brain along white matter (WM) bundles of axons. We therefore hypothesized that the location of tumor intersecting WM tracts would be associated with differing survival. This study introduces a method, voxel-wise survival analysis (VSA), to determine the relationship between the location of brain tumor intersecting WM tracts and patient prognosis. Methods 113 primary glioblastoma (GBM) patients were retrospectively analyzed for this study. Patient specific tumor location, defined by contrast-enhancement, was combined with diffusion tensor imaging (DTI) derived tractography to determine the location of axons intersecting tumor enhancement (AXITEs). VSA was then used to determine the relationship between the AXITE location and patient survival. Results Tumors intersecting the right anterior thalamic radiation (ATR), right inferior fronto-occipital fasciculus (IFOF), right and left cortico-spinal tract (CST), and corpus callosum (CC) were associated with decreased overall survival (OS). Tumors intersecting the CST, body of the CC, right ATR, posterior IFOF, and inferior longitudinal fasciculus are associated with decreased progression-free survival (PFS), while tumors intersecting the right genu of the CC and anterior IFOF are associated with increased PFS. Patients with tumors intersecting the ATR, IFOF, CST, or CC had significantly improved survival prognosis if they were additionally treated with bevacizumab. Conclusions This study demonstrates the usefulness of VSA by locating AXITEs associated with poor prognosis in GBM patients. This information should be included in patient-physician conversations, therapeutic strategy, and clinical trial design.

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Objective To analyze the impact of interview date on the applicant rank for Neurology residencies in the United States. Methods A multi‐institutional retrospective review of interview dates and applicant rank list data for the National Resident Matching Program (NRMP) was conducted for five Neurology programs, totaling 1932 interviewed applicants over a combined total of 31 interview years. For each candidate, the interview date and applicant rank were abstracted along with the total number of interviews for that season. Statistical analyses were completed on the cumulative institution data set as well for each individual institution to assess for a possible relationship between interview date and applicant rank. Results The cumulative institutional analysis showed that the mean applicant rank decreased as the interview season progressed. Applicants who interviewed on the first day of the interview season were ranked 11.4% higher than those who interviewed on the last interview day. Additionally, applicants interviewed on the first interview day more likely to be ranked higher when compared to all other interview dates. Independent analysis of each program's data identified comparable, statistically significant, differences in mean applicant rank and interview position at three out of the five institutions. Conclusions This study evaluated the impact of interview order on the ranking of applicants by Neurology residency programs, noting a temporal relationship with applicant rank and interview date. The primacy bias appreciated in our data merits further evaluation in other medical specialties. Strategies to minimize the impact of this bias should be employed by residency programs who use medical matching services.