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Purpose of this study was to determine the effect of waiting time for radiotherapy on overall survival of patients with glioblastoma treated in the EORTC-NCIC trial at 18 centers in France. A total of 400 adult patients with glioblastoma who were treated between January 1, 2006 and December 31, 2006 were included. There were 282 patients with "minimum criteria" according to the EORTC-NCIC trial: (i) concurrent chemotherapy with temozolomide; and (ii) age between 18 and 70 years old. Among these patients, 229 were treated with adjuvant temozolomide and were classified as "maximal criteria". One-hundred and eighteen patients were in the "without minimal criteria" group. Waiting time from the first symptom (FS-RT), pathology diagnosis (P-RT), multidisciplinary meeting (MM-RT), surgery (S-RT), and CT scan for delineation (CT-RT) until the start of radiotherapy were recorded. Median follow-up for all patients was 327 days. Overall, median FS-RT, P-RT, MM-RT, CT-RT, and S-RT times were 77, 36, 32, 12, and 41 days, respectively. Median, and 12 and 24-month overall survival were 409 days, and 56.3 ± 2.1 % and 27.6 ± 2.6 %, respectively. Univariate analysis failed to reveal a difference in survival, irrespective of the delay. In multivariate analysis, independent favorable prognostic factors for overall survival were age (p ≤ 0.0001) and type of surgery (p = 0.0006). In this large series treated during the EORTC-NCIC protocol period, waiting time until radiotherapy did not seem to affect patient outcome.

Abstract.We propose a new model to simulate the growth of glioblastomas multiforma (GBM), the most aggressive glial tumors. This model relies upon an anatomical atlas including white fibers diffusion tensor information and the delineation of cerebral structures having a distinct response to the tumor aggression. We simulate both the invasion of the GBM in the brain parenchyma and its mechanical interaction (mass effect) with the invaded structures. The former effect is modeled with a reaction-diffusion equation while the latter is based on a linear elastic brain constitutive equation. In addition, we propose a new equation taking into account the mechanical influence of the tumor cells on the invaded tissues. This tumor growth model is assessed by comparing the virtual GBM growth with the real GBM growth observed between two MRIs of a patient acquired with six months difference.

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We present a case of malignant pleural mesothelioma with focal relapse in the Azygos arch region after radical pleurectomy/decortication and adjuvant chemotherapy. Tumour recurrence was successfully treated by Cyberknife radiosurgery (70 Gy in five fractions). Patient remains disease-free at 40 months without any other treatment.

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