Evidence map›Paper›PMID 36428699›Full record

ArticleCancers2022

Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study.

Amaresha Shridhar Konar, Akash Deelip Shah, Ramesh Paudyal, Maggie Fung, Suchandrima Banerjee, Abhay Dave, Vaios Hatzoglou, Amita Shukla-Dave

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

8 authors at 2 institutions in 1 country.

Amaresha Shridhar KonarDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA.
Akash Deelip ShahDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA.
Ramesh PaudyalDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA.
Maggie FungGE Healthcare, New York City, NY 10065, USA.
Suchandrima BanerjeeGE Healthcare, Menlo Park, CA 94025, USA.
Abhay DaveHarlem Campus, Touro College of Osteopathic Medicine, New York City, NY 10027, USA.
Vaios HatzoglouDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA.
Amita Shukla-DaveDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA.
Memorial Sloan Kettering Cancer Center · USTouro College · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748NIH HHS P30 CA008748
6 · The paper itself

Abstract

The purpose of the present pilot study was to estimate T1 and T2 metric values derived simultaneously from a new, rapid Magnetic Resonance Fingerprinting (MRF) technique, as well as to assess their ability to characterize-brain metastases (BM) and normal-appearing brain tissues. Fourteen patients with BM underwent MRI, including prototype MRF, on a 3T scanner. In total, 108 measurements were analyzed: 42 from solid parts of BM's (21 each on T1 and T2 maps) and 66 from normal-appearing brain tissue (11 ROIs each on T1 and T2 maps for gray matter [GM], white matter [WM], and cerebrospinal fluid [CSF]). The BM's mean T1 and T2 values differed significantly from normal-appearing WM (

Indexed as

brain metastases (BM)MR Fingerprinting (MRF)normal-appearing brain tissuequantitative MRIrelaxometry

Identifiers

PMID36428699
PMCPMC9688653
OpenAlexW4309316576

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.