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  • 1
    Online Resource
    Online Resource
    Quantifying eloquent locations for glioblastoma surgery using resection probability maps
    Journal of Neurosurgery Publishing Group (JNSPG) ; 2021
    In:  Journal of Neurosurgery Vol. 134, No. 4 ( 2021-04), p. 1091-1101
    Details
    In: Journal of Neurosurgery, Journal of Neurosurgery Publishing Group (JNSPG), Vol. 134, No. 4 ( 2021-04), p. 1091-1101
    Abstract: Decisions in glioblastoma surgery are often guided by presumed eloquence of the tumor location. The authors introduce the “expected residual tumor volume” (eRV) and the “expected resectability index” (eRI) based on previous decisions aggregated in resection probability maps. The diagnostic accuracy of eRV and eRI to predict biopsy decisions, resectability, functional outcome, and survival was determined. METHODS Consecutive patients with first-time glioblastoma surgery in 2012–2013 were included from 12 hospitals. The eRV was calculated from the preoperative MR images of each patient using a resection probability map, and the eRI was derived from the tumor volume. As reference, Sawaya’s tumor location eloquence grades (EGs) were classified. Resectability was measured as observed extent of resection (EOR) and residual volume, and functional outcome as change in Karnofsky Performance Scale score. Receiver operating characteristic curves and multivariable logistic regression were applied. RESULTS Of 915 patients, 674 (74%) underwent a resection with a median EOR of 97%, functional improvement in 71 (8%), functional decline in 78 (9%), and median survival of 12.8 months. The eRI and eRV identified biopsies and EORs of at least 80%, 90%, or 98% better than EG. The eRV and eRI predicted observed residual volumes under 10, 5, and 1 ml better than EG. The eRV, eRI, and EG had low diagnostic accuracy for functional outcome changes. Higher eRV and lower eRI were strongly associated with shorter survival, independent of known prognostic factors. CONCLUSIONS The eRV and eRI predict biopsy decisions, resectability, and survival better than eloquence grading and may be useful preoperative indices to support surgical decisions.
    Type of Medium: Online Resource
    ISSN: 0022-3085 , 1933-0693
    URL: Article
    DOI: 10.3171/2020.1.JNS193049
    RVK:
    XA 10000
    RVK:
    XA 55270
    Language: Unknown
    Publisher: Journal of Neurosurgery Publishing Group (JNSPG)
    Publication Date: 2021
    detail.hit.zdb_id: 2026156-1
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    On the cutting edge of glioblastoma surgery: where neurosurgeons agree and disagree on surgical decisions
    Journal of Neurosurgery Publishing Group (JNSPG) ; 2022
    In:  Journal of Neurosurgery Vol. 136, No. 1 ( 2022-01-01), p. 45-55
    Details
    In: Journal of Neurosurgery, Journal of Neurosurgery Publishing Group (JNSPG), Vol. 136, No. 1 ( 2022-01-01), p. 45-55
    Abstract: The aim of glioblastoma surgery is to maximize the extent of resection while preserving functional integrity. Standards are lacking for surgical decision-making, and previous studies indicate treatment variations. These shortcomings reflect the need to evaluate larger populations from different care teams. In this study, the authors used probability maps to quantify and compare surgical decision-making throughout the brain by 12 neurosurgical teams for patients with glioblastoma. METHODS The study included all adult patients who underwent first-time glioblastoma surgery in 2012–2013 and were treated by 1 of the 12 participating neurosurgical teams. Voxel-wise probability maps of tumor location, biopsy, and resection were constructed for each team to identify and compare patient treatment variations. Brain regions with different biopsy and resection results between teams were identified and analyzed for patient functional outcome and survival. RESULTS The study cohort consisted of 1087 patients, of whom 363 underwent a biopsy and 724 a resection. Biopsy and resection decisions were generally comparable between teams, providing benchmarks for probability maps of resections and biopsies for glioblastoma. Differences in biopsy rates were identified for the right superior frontal gyrus and indicated variation in biopsy decisions. Differences in resection rates were identified for the left superior parietal lobule, indicating variations in resection decisions. CONCLUSIONS Probability maps of glioblastoma surgery enabled capture of clinical practice decisions and indicated that teams generally agreed on which region to biopsy or to resect. However, treatment variations reflecting clinical dilemmas were observed and pinpointed by using the probability maps, which could therefore be useful for quality-of-care discussions between surgical teams for patients with glioblastoma.
    Type of Medium: Online Resource
    ISSN: 0022-3085 , 1933-0693
    URL: Article
    DOI: 10.3171/2020.11.JNS202897
    RVK:
    XA 10000
    RVK:
    XA 55270
    Language: Unknown
    Publisher: Journal of Neurosurgery Publishing Group (JNSPG)
    Publication Date: 2022
    detail.hit.zdb_id: 2026156-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    Predictors for time to awake in patients undergoing awake craniotomies
    Journal of Neurosurgery Publishing Group (JNSPG) ; 2022
    In:  Journal of Neurosurgery Vol. 136, No. 6 ( 2022-06-01), p. 1560-1566
    Details
    In: Journal of Neurosurgery, Journal of Neurosurgery Publishing Group (JNSPG), Vol. 136, No. 6 ( 2022-06-01), p. 1560-1566
    Abstract: Awake craniotomies are often characterized by alternating asleep-awake-asleep periods. Preceding the awake phase, patients are weaned from anesthesia and mechanical ventilation. Although clinicians aim to minimize the time to awake for patient safety and operating room efficiency, in some patients, the time to awake exceeds 20 minutes. The goal of this study was to determine the average time to awake and the factors associated with prolonged time to awake ( 〉 20 minutes) in patients undergoing awake craniotomy. METHODS Records of patients who underwent awake craniotomy between 2003 and 2020 were evaluated. Time to awake was defined as the time between discontinuation of propofol and remifentanil infusion and the time of extubation. Patient and perioperative characteristics were explored as predictors for time to awake using logistic regression analyses. RESULTS Data of 307 patients were analyzed. The median (IQR) time to awake was 13 (10–20) minutes and exceeded 20 minutes in 17% (95% CI 13%–21%) of the patients. In both univariate and multivariable analyses, increased age, nonsmoker status, and American Society of Anesthesiologists (ASA) class III versus II were associated with a time to awake exceeding 20 minutes. BMI, as well as the use of alcohol, drugs, dexamethasone, or antiepileptic agents, was not significantly associated with the time to awake. CONCLUSIONS While most patients undergoing awake craniotomy are awake within a reasonable time frame after discontinuation of propofol and remifentanil infusion, time to awake exceeded 20 minutes in 17% of the patients. Increasing age, nonsmoker status, and higher ASA classification were found to be associated with a prolonged time to awake.
    Type of Medium: Online Resource
    ISSN: 0022-3085 , 1933-0693
    URL: Article
    DOI: 10.3171/2021.6.JNS21320
    RVK:
    XA 10000
    RVK:
    XA 55270
    Language: Unknown
    Publisher: Journal of Neurosurgery Publishing Group (JNSPG)
    Publication Date: 2022
    detail.hit.zdb_id: 2026156-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
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