Evidence map›Paper›PMID 40769514›Full record

ArticleNMR in biomedicine2025

Improved Strength Prediction Combining MRI Biomarkers of Muscle Quantity and Quality.

Valentina Mazzoli, Yael Vainberg, Mary E Hall, Marco Barbieri, Jessica Asay, Julie Muccini, Jarret Rosenberg, Feliks Kogan, Scott Delp, Garry E Gold

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Valentina MazzoliDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-6700-8424
Yael VainbergDepartment of Radiology, Stanford University, Stanford, California, USA.
Mary E HallDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-1327-7514
Marco BarbieriDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-8795-1073
Jessica AsayDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-6853-5461
Julie MucciniDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-6118-4999
Jarret RosenbergDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0003-2706-3290
Feliks KoganDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0003-0580-7308
Scott DelpMechanical Engineering, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-9643-7551
Garry E GoldDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-3207-822X

Funding

Development of Sodium Fluoride PET-MRI for Quantitative Assessment of Knee OsteoarthritisR01AR074492 · NIAMS · STANFORD UNIVERSITY · PI GOLD, GARRY E · 2019 to 2023
$2.4M
Imaging of pain sources in myofascial pain syndromeR61EB036967 · NIBIB · STANFORD UNIVERSITY · PI GOLD, GARRY E, KOGAN, FELIKS · 2024 to 2024
$2.3M
Quantitative assessment of early structural and functional changes in aging skeletal muscleR00AG071735 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MAZZOLI, VALENTINA · 2023 to 2025
$742k
Quantitative assessment of early structural and functional changes in aging skeletal muscleK99AG071735 · NIA · STANFORD UNIVERSITY · PI MAZZOLI, VALENTINA · 2021 to 2022
$206k
NIAMS NIH HHS R01 AR074492NIA NIH HHS K99 AG071735NIA NIH HHS R00 AG071735NIBIB NIH HHS R61 EB036967NIH HHS K99/R00 AG071735
6 · The paper itself

Abstract

Muscle strength declines with aging at a faster rate compared with muscle mass, suggesting that not only muscle quantity but also muscle quality and architecture are age-dependent. This study tested the hypothesis that quantitative MRI (qMRI)-derived biomarkers of muscle quality (fractional anisotropy [FA], radial diffusivity [RD], axial diffusivity [AD], fat fraction [FF], and T

Indexed as

Magnetic Resonance ImagingMuscle, SkeletalMuscle StrengthAdultAgedBiomarkersDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedTorqueBiomarkersDTImuscle architectureqMRIskeletal musclestrength

Identifiers

PMID40769514
PMCPMC12778366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.