Evidence map›Paper›PMID 34661110›Full record

ArticleNeurosurgery open2021

Magnetic Resonance Imaging Mapping of Brain Tumor Burden: Clinical Implications for Neurosurgical Management: Case Report.

Jennifer M Connelly, Melissa A Prah, Fernando Santos-Pinheiro, Wade Mueller, Elizabeth Cochran, Kathleen M Schmainda

Open access · goldAbstract read
In one paragraph

Article in Neurosurgery open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Multimodal HSI-MRI system for tumor delineation in neurosurgical guidance.International journal of computer assisted radiology and surgery · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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  9. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  10. Article
  11. Article
  12. 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 at 1 institution in 1 country.

Jennifer M ConnellyDepartment of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Melissa A PrahDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Fernando Santos-PinheiroDepartment of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Wade MuellerDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Elizabeth CochranDepartment of Pathology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Kathleen M SchmaindaDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Medical College of Wisconsin · US

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
NCI NIH HHS R01 CA255123NCI NIH HHS U01 CA176110
6 · The paper itself

Abstract

background and importanceDistinction of brain tumor progression from treatment effect on postcontrast magnetic resonance imaging (MRI) is an ongoing challenge in the management of brain tumor patients. A newly emerging MRI biomarker called fractional tumor burden (FTB) has demonstrated the ability to spatially distinguish high-grade brain tumor from treatment effect with important implications for surgical management and pathological diagnosis. CLINICAL PRESENTATION: A 58-yr-old male with glioblastoma was treated with standard concurrent chemoradiotherapy (CRT) after initial resection. Throughout follow-up imaging, the distinction of tumor progression from treatment effect was of concern. The surgical report from a redo resection indicated recurrent glioblastoma, while the tissue sent for pathological diagnosis revealed no tumor. Presurgical FTB maps confirmed the spatial variation of tumor and treatment effect within the contrast-agent enhancing lesion. Unresected lesion, shown to be an active tumor on FTB, was the site of substantial tumor growth postresection.

conclusionThis case report introduces the idea that a newly developed MRI biomarker, FTB, can provide information of tremendous benefit for surgical management, pathological diagnosis as well as subsequent treatment management decisions in high-grade glioma.

Indexed as

Brain tumorCase reportFractional tumor burden (FTB)MRINeurosurgeryPseudoprogressionRelative cerebral blood volume (rCBV)

Identifiers

PMID34661110
PMCPMC8508085
OpenAlexW3198931308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.