Evidence map›Paper›PMID 27633807›Full record

ArticleAJNR. American journal of neuroradiology2017

Automated Processing of Dynamic Contrast-Enhanced MRI: Correlation of Advanced Pharmacokinetic Metrics with Tumor Grade in Pediatric Brain Tumors.

S Vajapeyam, C Stamoulis, K Ricci, M Kieran, T Young Poussaint

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. 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

5 authors at 3 institutions in 1 country.

S VajapeyamFrom the Departments of Radiology (S.V., C.S., T.Y.P.) sridhar.vajapeyam@childrens.harvard.edu.ORCID 0000-0002-1782-1919
C StamoulisFrom the Departments of Radiology (S.V., C.S., T.Y.P.).ORCID 0000-0001-9814-1802
K RicciCancer Center (K.R.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-7662-1220
M KieranDepartment of Pediatric Oncology (M.K.), Dana-Farber Cancer Center, Boston, Massachusetts.ORCID 0000-0003-2184-7692
T Young PoussaintFrom the Departments of Radiology (S.V., C.S., T.Y.P.).ORCID 0000-0002-0814-0791
Harvard University · USBoston Children's Hospital · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePharmacokinetic parameters from dynamic contrast-enhanced MR imaging have proved useful for differentiating brain tumor grades in adults. In this study, we retrospectively reviewed dynamic contrast-enhanced perfusion data from children with newly diagnosed brain tumors and analyzed the pharmacokinetic parameters correlating with tumor grade. MATERIALS AND

methodsDynamic contrast-enhanced MR imaging data from 38 patients were analyzed by using commercially available software. Subjects were categorized into 2 groups based on pathologic analyses consisting of low-grade (World Health Organization I and II) and high-grade (World Health Organization III and IV) tumors. Pharmacokinetic parameters were compared between the 2 groups by using linear regression models. For parameters that were statistically distinct between the 2 groups, sensitivity and specificity were also estimated.

resultsEighteen tumors were classified as low-grade, and 20, as high-grade. Transfer constant from the blood plasma into the extracellular extravascular space (K

conclusionsPharmacokinetic parameters derived from dynamic contrast-enhanced MR imaging can effectively discriminate low- and high-grade pediatric brain tumors.

Indexed as

Brain NeoplasmsChildContrast MediaFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleModels, TheoreticalRetrospective StudiesSensitivity and SpecificityContrast Media

Identifiers

PMID27633807
PMCPMC7963677
OpenAlexW2518904238

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.