Evidence map›Paper›PMID 38919518›Full record

ArticleNeurosurgery practice2024

Application of Delta T1 maps for quantitative and objective assessment of extent of resection and survival prediction in glioblastoma.

Brandon R Laing, Melissa A Prah, Benjamin J Best, Max O Krucoff, Wade M Mueller, Kathleen M Schmainda

Abstract read
In one paragraph

Article in Neurosurgery practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Brandon R LaingDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Melissa A PrahDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Benjamin J BestDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Max O KrucoffDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Wade M MuellerDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Kathleen M SchmaindaDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

Funding

Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma ResponseU01CA176110 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2014 to 2023
$4.9M
New treatment monitoring biomarkers for brain tumors using multiparametric MRI with machine learningR01CA255123 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2021 to 2025
$2.6M
High-Throughput, Highly Multiplexed In Situ Proteomic Imaging of Human TissuesUH3CA255133 · NCI · HARVARD UNIVERSITY · PI YIN, PENG · 2020 to 2021
$1.1M
Multi-site Validation and Application of a Consensus DSC MRI ProtocolR01CA221938 · NCI · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI BOXERMAN, JERROLD L, HU, LELAND · 2018 to 2020
$738k
NCI NIH HHS R01 CA221938NCI NIH HHS R01 CA255123NCI NIH HHS U01 CA176110NCI NIH HHS UH3 CA255133
6 · The paper itself

Abstract

Background and Objectives: Gross-total resection (GTR) and low residual tumor volume (RTV) have been associated with increased survival in glioblastoma. Largely due to the subjectivity involved, the determination of GTR and RTV remains difficult in the postoperative setting. In response, the objective of this study is to evaluate the clinical efficacy of an easy-to-use MRI metric, called delta T1 (dT1), to quantify extent of resection (EOR) and RTV, in comparison to radiologist impression, to predict overall survival (OS) in glioblastoma patients. Methods: 59 patients who underwent resection of glioblastoma were retrospectively identified. Delta T1 (dT1) images, automatically created from the difference between calibrated post- and pre-contrast T1-weighted images, were used to quantify EOR and RTV. Kaplan-Meier survival estimates were determined for EOR categories, an RTV cutoff of 5cm Results: Kaplan-Meier analysis revealed a statistically significant difference in median OS for a dT1-determined RTV cutoff of 5 cm Conclusion: The utility of dT1 maps to quantify EOR and RTV in glioblastoma and predict survival, suggests an emerging role for dT1s with relevance for intraoperative MRI, neuro-navigation and postoperative disease surveillance.

Indexed as

Delta T1extent of resection (EOR)glioblastomaRANO-resectresidual tumor volume (RTV)

Identifiers

PMID38919518
PMCPMC11198967

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Registered trials

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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.