TY - JOUR
T1 - On the cutting edge of glioblastoma surgery
T2 - where neurosurgeons agree and disagree on surgical decisions
AU - Müller, Domenique M.J.
AU - Robe, Pierre A.
AU - Ardon, Hilko
AU - Barkhof, Frederik
AU - Bello, Lorenzo
AU - Berger, Mitchel S.
AU - Bouwknegt, Wim
AU - Van den Brink, Wimar A.
AU - Nibali, Marco Conti
AU - Eijgelaar, Roelant S.
AU - Furtner, Julia
AU - Han, Seunggu J.
AU - Hervey-Jumper, Shawn L.
AU - Idema, Albert J.S.
AU - Kiesel, Barbara
AU - Kloet, Alfred
AU - Mandonnet, Emmanuel
AU - De Munck, Jan C.
AU - Rossi, Marco
AU - Sciortino, Tommaso
AU - Vandertop, W. Peter
AU - Visser, Martin
AU - Wagemakers, Michiel
AU - Widhalm, Georg
AU - Witte, Marnix G.
AU - Zwinderman, Aeilko H.
AU - De Witt Hamer, Philip C.
N1 - Funding Information:
This research is part of the Innovative Medical Devices Initiative program (project number 10-10400-96-14003), which is financed by the Netherlands Organisation for Scientific Research (NWO). This research is also supported by a research grant from the Dutch Cancer Society (VU2014-7113) and by the National Institute for Health Research of the University College London Hospitals (UCLH) Biomedical Research Centre.
Funding Information:
This work was carried out on the Dutch national e-infrastructure with the support of SURF Cooperative and the Translational Research IT (TraIT) project, an initiative from the Center for Translational Molecular Medicine (CTMM). We thank Institute QuantiVision for collaborating in applying for the Netherlands Organisation for Scientific Research grant program.
Publisher Copyright:
© AANS 2022.
PY - 2022/1
Y1 - 2022/1
N2 - OBJECTIVE 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.
AB - OBJECTIVE 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.
KW - computer-assisted
KW - glioblastoma
KW - image processing
KW - magnetic resonance imaging
KW - neurosurgical procedures
KW - oncology
KW - quality of healthcare
KW - Humans
KW - Middle Aged
KW - Male
KW - Clinical Decision-Making
KW - Glioblastoma/surgery
KW - Frontal Lobe/pathology
KW - Adult
KW - Female
KW - Neurosurgical Procedures/methods
KW - Brain Neoplasms/surgery
KW - Probability
KW - Treatment Outcome
KW - Neurosurgeons
KW - Magnetic Resonance Imaging
KW - Biopsy
KW - Survival Analysis
KW - Brain Mapping
KW - Parietal Lobe/pathology
KW - Aged
KW - Cohort Studies
UR - http://www.scopus.com/inward/record.url?scp=85123389719&partnerID=8YFLogxK
U2 - 10.3171/2020.11.JNS202897
DO - 10.3171/2020.11.JNS202897
M3 - Article
C2 - 34243150
AN - SCOPUS:85123389719
SN - 0022-3085
VL - 136
SP - 45
EP - 55
JO - Journal of Neurosurgery
JF - Journal of Neurosurgery
IS - 1
ER -