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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  Neuro-Oncology Vol. 22, No. Supplement_2 ( 2020-11-09), p. ii85-ii85
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 22, No. Supplement_2 ( 2020-11-09), p. ii85-ii85
    Abstract: Steroids are commonly used for treatment of peritumoral edema and increased intracranial pressure in brain tumor patients. However, despite the widespread use of steroids, relatively little evidence is available about the optimal dosing scheme in brain tumor patients. PURPOSE The aim of this study is to increase insight in the practice variation of steroid dosing and tapering schedules among the neuro-oncology community. METHODS An electronic survey consisting of 27 questions regarding dosing and tapering schedules and adverse events of steroids was conducted among neurosurgeons internationally between 6 December 2019 and 1 June 2020. The survey was distributed by the electronic mailing lists of the Europeans Association of Neurosurgical Societies and via social media platforms. Collected data was assessed for quantitative and qualitative analysis using the Kruskal-Wallis test. RESULTS The survey obtained 175 responses. 87% of respondents answered all questions. Steroids are prescribed routinely perioperatively by 80% of respondents. Prescribed doses range from 2 to 64 mg/day in dosing schedule ranging from one to four times a day. The most prescribed steroid is dexamethasone in a dose of 16 mg/day. No significant association is seen between the prescribed dose and frequency of adverse events, years of experience, country, type of institution or having an institutional guideline. CONCLUSION Steroids are routinely prescribed perioperatively in brain tumor patients. However, there is a great practice variation in steroid dosing and tapering schedules among neurosurgeons. Future investigation is needed to identify an optimal dosing scheme and implement (inter)national guidelines for the dosing of steroids.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 2094060-9
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  • 2
    In: Neuro-Oncology Advances, Oxford University Press (OUP), Vol. 4, No. 1 ( 2022-01-01)
    Abstract: Nonenhancing glioma typically have a favorable outcome, but approximately 19–44% have a highly aggressive course due to a glioblastoma genetic profile. The aim of this retrospective study is to use physiological MRI parameters of both perfusion and diffusion to distinguish the molecular profiles of glioma without enhancement at presentation. Methods Ninety-nine patients with nonenhancing glioma were included, in whom molecular status (including 1p/19q codeletion status and IDH mutation) and preoperative MRI (T2w/FLAIR, dynamic susceptibility-weighted, and diffusion-weighted imaging) were available. Tumors were segmented semiautomatically using ITK-SNAP to derive whole tumor histograms of relative Cerebral Blood Volume (rCBV) and Apparent Diffusion Coefficient (ADC). Tumors were divided into three clinically relevant molecular profiles: IDH mutation (IDHmt) with (n = 40) or without (n = 41) 1p/19q codeletion, and (n = 18) IDH-wildtype (IDHwt). ANOVA, Kruskal-Wallis, and Chi-Square analyses were performed using SPSS. Results rCBV (mean, median, 75th and 85th percentile) and ADC (mean, median, 15th and 25th percentile) showed significant differences across molecular profiles (P & lt; .01). Posthoc analyses revealed that IDHwt and IDHmt 1p/19q codeleted tumors showed significantly higher rCBV compared to IDHmt 1p/19q intact tumors: mean rCBV (mean, SD) 1.46 (0.59) and 1.35 (0.39) versus 1.08 (0.31), P & lt; .05. Also, IDHwt tumors showed significantly lower ADC compared to IDHmt 1p/19q codeleted and IDHmt 1p/19q intact tumors: mean ADC (mean, SD) 1.13 (0.23) versus 1.27 (0.15) and 1.45 (0.20), P & lt; .001). Conclusions A combination of low ADC and high rCBV, reflecting high cellularity and high perfusion respectively, separates IDHwt from in particular IDHmt 1p/19q intact glioma.
    Type of Medium: Online Resource
    ISSN: 2632-2498
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 3009682-0
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  • 3
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 25, No. 2 ( 2023-02-14), p. 279-289
    Abstract: Accurate characterization of glioma is crucial for clinical decision making. A delineation of the tumor is also desirable in the initial decision stages but is time-consuming. Previously, deep learning methods have been developed that can either non-invasively predict the genetic or histological features of glioma, or that can automatically delineate the tumor, but not both tasks at the same time. Here, we present our method that can predict the molecular subtype and grade, while simultaneously providing a delineation of the tumor. Methods We developed a single multi-task convolutional neural network that uses the full 3D, structural, preoperative MRI scans to predict the IDH mutation status, the 1p/19q co-deletion status, and the grade of a tumor, while simultaneously segmenting the tumor. We trained our method using a patient cohort containing 1508 glioma patients from 16 institutes. We tested our method on an independent dataset of 240 patients from 13 different institutes. Results In the independent test set, we achieved an IDH-AUC of 0.90, an 1p/19q co-deletion AUC of 0.85, and a grade AUC of 0.81 (grade II/III/IV). For the tumor delineation, we achieved a mean whole tumor Dice score of 0.84. Conclusions We developed a method that non-invasively predicts multiple, clinically relevant features of glioma. Evaluation in an independent dataset shows that the method achieves a high performance and that it generalizes well to the broader clinical population. This first-of-its-kind method opens the door to more generalizable, instead of hyper-specialized, AI methods.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2094060-9
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  • 4
    In: Neuro-Oncology Practice, Oxford University Press (OUP), Vol. 10, No. 4 ( 2023-04-14), p. 360-369
    Abstract: Despite current best treatment options, a glioblastoma almost inevitably recurs after primary treatment. However, in the absence of clear evidence, current guidelines on recurrent glioblastoma are not well-defined. Re-resection is one of the possible treatment modalities, though it can be challenging to identify those patients who will benefit. Therefore, treatment decisions are made based on multidisciplinary discussions. This study aimed to investigate the current practice variation between neuro-oncology specialists. Methods In this nationwide study among Dutch neuro-oncology specialists, we surveyed possible practice variation. Via an online survey, 4 anonymized recurrent glioblastoma cases were presented to neurosurgeons, neuro-oncologists, medical oncologists, and radiation oncologists in The Netherlands using a standardized questionnaire on whether and why they would recommend a re-resection or not. The results were used to provide a qualitative analysis of the current practice in The Netherlands. Results The survey was filled out by 56 respondents, of which 15 (27%) were neurosurgeons, 26 (46%) neuro-oncologists, 2 (4%) medical oncologists, and 13 (23%) radiation oncologists. In 2 of the 4 cases, there appeared to be clinical equipoise. Overall, neurosurgeons tended to recommend re-resection more frequently compared to the other specialists. Neurosurgeons and radiation oncologists showed opposite recommendations in 2 cases. Conclusions This study showed that re-resection of recurrent glioblastoma is subject to practice variation both between and within neuro-oncology specialties. In the absence of unambiguous guidelines, we observed a relationship between preferred practice and specialty. Reduction of this practice variation is important; to achieve this, adequate prospective studies are essential.
    Type of Medium: Online Resource
    ISSN: 2054-2577 , 2054-2585
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2768945-1
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  • 5
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 25, No. 5 ( 2023-05-04), p. 958-972
    Abstract: The impact of extent of resection (EOR), residual tumor volume (RTV), and gross-total resection (GTR) in glioblastoma subgroups is currently unknown. This study aimed to analyze their impact on patient subgroups in relation to neurological and functional outcomes. Methods Patients with tumor resection for eloquent glioblastoma between 2010 and 2020 at 4 tertiary centers were recruited from a cohort of 3919 patients. Results One thousand and forty-seven (1047) patients were included. Higher EOR and lower RTV were significantly associated with improved overall survival (OS) and progression-free survival (PFS) across all subgroups, but RTV was a stronger prognostic factor. GTR based on RTV improved median OS in the overall cohort (19.0 months, P  & lt; .0001), and in the subgroups with IDH wildtype tumors (18.5 months, P = .00055), MGMT methylated tumors (35.0 months, P  & lt; .0001), aged & lt;70 (20.0 months, P  & lt; .0001), NIHSS 0–1 (19.0 months, P = .0038), KPS 90–100 (19.5 months, P = .0012), and KPS ≤80 (17.0 months, P = .036). GTR was significantly associated with improved OS in the overall cohort (HR 0.58, P = .0070) and improved PFS in the NIHSS 0–1 subgroup (HR 0.47, P = .012). GTR combined with preservation of neurological function (OFO 1 grade) yielded the longest survival times (median OS 22.0 months, P  & lt; .0001), which was significantly more frequently achieved in the awake mapping group (50.0%) than in the asleep group (21.8%) (P  & lt; .0001). Conclusions Maximum resection was especially beneficial in the subgroups aged & lt;70, NIHSS 0–1, and KPS 90–100 without increasing the risk of postoperative NIHSS or KPS worsening. These findings may assist surgical decision making in individual glioblastoma patients.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2094060-9
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