Evidence map›Paper›PMID 35892883›Full record

ArticleCancers2022

Qualitative and Quantitative Performance of Magnetic Resonance Image Compilation (MAGiC) Method: An Exploratory Analysis for Head and Neck Imaging.

Amaresha Shridhar Konar, Ramesh Paudyal, Akash Deelip Shah, Maggie Fung, Suchandrima Banerjee, Abhay Dave, Nancy Lee, 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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 1 country.

Amaresha Shridhar KonarDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Ramesh PaudyalDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Akash Deelip ShahDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Maggie FungGeneral Electric Health Care, New York, NY 10065, USA.
Suchandrima BanerjeeGeneral Electric Health Care, New York, NY 10065, USA.
Abhay DaveTouro College of Osteopathic Medicine, New York, NY 10027, USA.
Nancy LeeDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Vaios HatzoglouDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Amita Shukla-DaveDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Memorial Sloan Kettering Cancer Center · USGeneral Electric (United States) · USTouro College · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Quantitative imaging tools to derive DW-MRI oncological biomarkersU01CA211205 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI DAVE, AMITA, SCHWARTZ, LAWRENCE H · 2017 to 2021
$3.4M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA211205NIH HHS P30 CA008748NIH HHS U01 CA211205
6 · The paper itself

Abstract

The present exploratory study investigates the performance of a new, rapid, synthetic MRI method for diagnostic image quality assessment and measurement of relaxometry metric values in head and neck (HN) tumors and normal-appearing masseter muscle. The multi-dynamic multi-echo (MDME) sequence was used for data acquisition, followed by synthetic image reconstruction on a 3T MRI scanner for 14 patients (3 untreated and 11 treated). The MDME enables absolute quantification of physical tissue properties, including T1 and T2, with a shorter scan time than the current state-of-the-art methods used for relaxation measurements. The vendor termed the combined package MAGnetic resonance imaging Compilation (MAGiC). In total, 48 regions of interest (ROIs) were analyzed, drawn on normal-appearing masseter muscle and tumors in the HN region. Mean T1 and T2 values obtained from normal-appearing muscle were 880 ± 52 ms and 46 ± 3 ms, respectively. Mean T1 and T2 values obtained from tumors were 1930 ± 422 ms and 77 ± 13 ms, respectively, for the untreated group, 1745 ± 410 ms and 107 ± 61 ms, for the treated group. A total of 1552 images from both synthetic MRI and conventional clinical imaging were assessed by the radiologists to provide the rating for T1w and T2w image contrasts. The synthetically generated qualitative T2w images were acceptable and comparable to conventional diagnostic images (93% acceptability rating for both). The acceptability ratings for MAGiC-generated T1w, and conventional images were 64% and 100%, respectively. The benefit of MAGiC in HN imaging is twofold, providing relaxometry maps in a clinically feasible time and the ability to generate a different combination of contrast images in a single acquisition.

Indexed as

head and neck (HN)MAGnetic resonance imaging Compilation (MAGiC)masseter musclequalitativequantitativerelaxometrysynthetic MRI

Identifiers

PMID35892883
PMCPMC9331960
OpenAlexW4288041406

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.