Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study. Issue 4 (6th January 2017)
- Record Type:
- Journal Article
- Title:
- Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study. Issue 4 (6th January 2017)
- Main Title:
- Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study
- Authors:
- Sonabend, Adam M
Zacharia, Brad E
Cloney, Michael B
Sonabend, Aarón
Showers, Christopher
Ebiana, Victoria
Nazarian, Matthew
Swanson, Kristin R
Baldock, Anne
Brem, Henry
Bruce, Jeffrey N
Butler, William
Cahill, Daniel P
Carter, Bob
Orringer, Daniel A
Roberts, David W
Sagher, Oren
Sanai, Nader
Schwartz, Theodore H
Silbergeld, Daniel L
Sisti, Michael B
Thompson, Reid C
Waziri, Allen E
Ghogawala, Zoher
McKhann, Guy - Abstract:
- Abstract: BACKGROUND: Extent of resection (EOR) correlates with glioblastoma outcomes. Resectability and EOR depend on anatomical, clinical, and surgeon factors. Resectability likely influences outcome in and of itself, but an accurate measurement of resectability remains elusive. An understanding of resectability and the factors that influence it may provide a means to control a confounder in clinical trials and provide reference for decision making. OBJECTIVE: To provide proof of concept of the use of the collective wisdom of experienced brain tumor surgeons in assessing glioblastoma resectability. METHODS: We surveyed 13 academic tumor neurosurgeons nationwide to assess the resectability of newly diagnosed glioblastoma. Participants reviewed 20 cases, including digital imaging and communications in medicine-formatted pre- and postoperative magnetic resonance images and clinical vignettes. The selected cases involved a variety of anatomical locations and a range of EOR. Participants were asked about surgical goal, eg, gross total resection, subtotal resection (STR), or biopsy, and rationale for their decision. We calculated a "resectability index" for each lesion by pooling responses from all 13 surgeons. RESULTS: Neurosurgeons' individual surgical goals varied significantly ( P = .015), but the resectability index calculated from the surgeons' pooled responses was strongly correlated with the percentage of contrast-enhancing residual tumor ( R = 0.817, P < .001). TheAbstract: BACKGROUND: Extent of resection (EOR) correlates with glioblastoma outcomes. Resectability and EOR depend on anatomical, clinical, and surgeon factors. Resectability likely influences outcome in and of itself, but an accurate measurement of resectability remains elusive. An understanding of resectability and the factors that influence it may provide a means to control a confounder in clinical trials and provide reference for decision making. OBJECTIVE: To provide proof of concept of the use of the collective wisdom of experienced brain tumor surgeons in assessing glioblastoma resectability. METHODS: We surveyed 13 academic tumor neurosurgeons nationwide to assess the resectability of newly diagnosed glioblastoma. Participants reviewed 20 cases, including digital imaging and communications in medicine-formatted pre- and postoperative magnetic resonance images and clinical vignettes. The selected cases involved a variety of anatomical locations and a range of EOR. Participants were asked about surgical goal, eg, gross total resection, subtotal resection (STR), or biopsy, and rationale for their decision. We calculated a "resectability index" for each lesion by pooling responses from all 13 surgeons. RESULTS: Neurosurgeons' individual surgical goals varied significantly ( P = .015), but the resectability index calculated from the surgeons' pooled responses was strongly correlated with the percentage of contrast-enhancing residual tumor ( R = 0.817, P < .001). The collective STR goal predicted intraoperative decision of intentional STR documented on operative notes ( P < .01) and nonresectable residual ( P < .01), but not resectable residual. CONCLUSION: In this pilot study, we demonstrate the feasibility of measuring the resectability of glioblastoma through crowdsourcing. This tool could be used to quantify resectability, a potential confounder in neuro-oncology clinical trials. … (more)
- Is Part Of:
- Neurosurgery. Volume 80:Issue 4(2017)
- Journal:
- Neurosurgery
- Issue:
- Volume 80:Issue 4(2017)
- Issue Display:
- Volume 80, Issue 4 (2017)
- Year:
- 2017
- Volume:
- 80
- Issue:
- 4
- Issue Sort Value:
- 2017-0080-0004-0000
- Page Start:
- 590
- Page End:
- 601
- Publication Date:
- 2017-01-06
- Subjects:
- Resectability -- Extent of resection -- EOR -- Glioblastoma -- Glioma -- Crowdsourcing
Nervous system -- Surgery -- Periodicals
617.48005 - Journal URLs:
- https://academic.oup.com/neurosurgery ↗
http://www.neurosurgery-online.com ↗
https://journals.lww.com/neurosurgery/pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1227/NEU.0000000000001374 ↗
- Languages:
- English
- ISSNs:
- 0148-396X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.582000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 17344.xml