Evidence map›Paper›PMID 36354164›Full record

ArticleThe British journal of radiology2022

Prognostication of overall survival in patients with brain metastases using diffusion tensor imaging and dynamic susceptibility contrast-enhanced MRI.

Laiz Laura de Godoy, Yin Jie Chen, Sanjeev Chawla, Angela N Viaene, Sumei Wang, Laurie A Loevner, Michelle Alonso-Basanta, Harish Poptani, Suyash Mohan

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 2 countries.

Laiz Laura de GodoyDepartment of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, United States.
Yin Jie ChenDepartment of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, United States.
Sanjeev ChawlaDepartment of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, United States.
Angela N ViaeneDivision of Anatomic Pathology, Children's Hospital of Philadelphia, Philadelphia, United States.
Sumei WangDepartment of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, United States.
Laurie A LoevnerDepartment of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, United States.
Michelle Alonso-BasantaDepartment of Radiation Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, United States.
Harish PoptaniDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
Suyash MohanDepartment of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, United States.
University of Pennsylvania · USChildren's Hospital of Philadelphia · USUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the prognostic utility of DTI and DSC-PWI perfusion-derived parameters in brain metastases patients.

methodsRetrospective analyses of DTI-derived parameters (MD, FA, CL, CP, and CS) and DSC-perfusion PWI-derived rCBV

resultsSignificant differences in mOS were observed for MD

conclusionPretreatment DTI-derived parameters, notably MD ADVANCES IN KNOWLEDGE: The correlation of DTI-derived metrics and perfusion MRI with patient outcomes has not been investigated in patients with treatment naïve brain metastasis. DTI and DSC-PWI can aid in therapeutic decision-making by providing additional clinical guidance.

Indexed as

Brain NeoplasmsDiffusion Tensor ImagingHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingRetrospective Studies

Identifiers

PMID36354164
PMCPMC9733614
OpenAlexW4308666372

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.