Evidence map›Paper›PMID 30912721›Full record

ArticleRadiology2019

Cost-effectiveness of Intraoperative MRI for Treatment of High-Grade Gliomas.

Peter Abraham, Reith Sarkar, Michael G Brandel, Arvin R Wali, Robert C Rennert, Christian Lopez Ramos, Jennifer Padwal, Jeffrey A Steinberg, David R Santiago-Dieppa, Vincent Cheung and 3 more

Abstract read
In one paragraph

Article in Radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Intraoperative MRI versus intraoperative ultrasound in pediatric brain tumor surgery: is expensive better than cheap? A review of the literature.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2022
    Pooled it
  2. Pooled it
  3. Review
  4. Intraoperative MRI in pediatric brain tumor surgery: an 18-year single-center experience.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Peter AbrahamFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0003-2583-4573
Reith SarkarFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0002-5270-8671
Michael G BrandelFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0001-7422-390X
Arvin R WaliFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0003-2608-8752
Robert C RennertFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.
Christian Lopez RamosFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0002-5832-4046
Jennifer PadwalFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0001-9309-7523
Jeffrey A SteinbergFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.
David R Santiago-DieppaFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.
Vincent CheungFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.
J Scott PannellFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.
James D MurphyFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0002-0523-9091
Alexander A KhalessiFrom the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.), Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P., A.A.K.), and Department of Radiation Oncology (J.D.M.), University of California-San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA 92037.ORCID 0000-0002-5559-9175

Funding

UC San Diego Clinical and Translational Research InstituteTL1TR001443 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2019
$3.4M
NCATS NIH HHS TL1 TR001443
6 · The paper itself

Abstract

Background Intraoperative MRI has been shown to improve gross-total resection of high-grade glioma. However, to the knowledge of the authors, the cost-effectiveness of intraoperative MRI has not been established. Purpose To construct a clinical decision analysis model for assessing intraoperative MRI in the treatment of high-grade glioma. Materials and Methods An integrated five-state microsimulation model was constructed to follow patients with high-grade glioma. One-hundred-thousand patients treated with intraoperative MRI were compared with 100 000 patients who were treated without intraoperative MRI from initial resection and debulking until death (median age at initial resection, 55 years). After the operation and treatment of complications, patients existed in one of three health states: progression-free survival (PFS), progressive disease, or dead. Patients with recurrence were offered up to two repeated resections. PFS, valuation of health states (utility values), probabilities, and costs were obtained from randomized controlled trials whenever possible. Otherwise, national databases, registries, and nonrandomized trials were used. Uncertainty in model inputs was assessed by using deterministic and probabilistic sensitivity analyses. A health care perspective was used for this analysis. A willingness-to-pay threshold of $100 000 per quality-adjusted life year (QALY) gained was used to determine cost efficacy. Results Intraoperative MRI yielded an incremental benefit of 0.18 QALYs (1.34 QALYs with intraoperative MRI vs 1.16 QALYs without) at an incremental cost of $13 447 ($176 460 with intraoperative MRI vs $163 013 without) in microsimulation modeling, resulting in an incremental cost-effectiveness ratio of $76 442 per QALY. Because of parameter distributions, probabilistic sensitivity analysis demonstrated that intraoperative MRI had a 99.5% chance of cost-effectiveness at a willingness-to-pay threshold of $100 000 per QALY. Conclusion Intraoperative MRI is likely to be a cost-effective modality in the treatment of high-grade glioma. © RSNA, 2019

Indexed as

BrainBrain NeoplasmsCost-Benefit AnalysisGliomaHumansIntraoperative CareMagnetic Resonance ImagingMiddle AgedSurgery, Computer-Assisted

Identifiers

PMID30912721
PMCPMC6543900

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.