Evidence map›Paper›PMID 36305012›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2022

Reproducibility assessment of a biomechanical model-based elasticity imaging method for identifying changes in left ventricular mechanical stiffness.

Caroline E Miller, Jennifer H Jordan, Emily Douglas, Katherine Ansley, Alexandra Thomas, Jared A Weis

Open access · greenAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 1 country.

Caroline E MillerWake Forest School of Medicine, Biomedical Engineering, Winston-Salem, North Carolina, United States.ORCID https://orcid.org/0000-0002-9912-709X
Jennifer H JordanVirginia Commonwealth University, Biomedical Engineering and Pauley Heart Center, Richmond, Virginia, United States.ORCID https://orcid.org/0000-0003-1001-1849
Emily DouglasAtrium Health Wake Forest Baptist, Hematology and Oncology, Winston-Salem, North Carolina, United States.
Katherine AnsleyAtrium Health Wake Forest Baptist, Hematology and Oncology, Winston-Salem, North Carolina, United States.
Alexandra ThomasAtrium Health Wake Forest Baptist, Hematology and Oncology, Winston-Salem, North Carolina, United States.ORCID https://orcid.org/0000-0001-9022-2229
Jared A WeisWake Forest School of Medicine, Biomedical Engineering, Winston-Salem, North Carolina, United States.ORCID https://orcid.org/0000-0002-9047-5514
Atrium Health Wake Forest Baptist · USVirginia Commonwealth University · USVirginia Tech · USWake Forest University · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Multi-Scale Biomechanical Modeling of Tumor Growth and Response in Breast CancerK25CA204599 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WEIS, JARED ANTHONY · 2016 to 2020
$747k
NCI NIH HHS K25 CA204599NCI NIH HHS P30 CA012197
6 · The paper itself

Abstract

Purpose: Cardiotoxicity of antineoplastic therapies is increasingly a risk to cancer patients treated with curative intent with years of life to protect. Studies highlight the importance of identifying early cardiac decline in cancer patients undergoing cardiotoxic therapies. Accurate tools to study this are a critical clinical need. Current and emerging methods for assessing cardiotoxicity are too coarse for identifying preclinical cardiac degradation or too cumbersome for clinical implementation. Approach: In the previous work, we developed a noninvasive biomechanical model-based elasticity imaging methodology (BEIM) to assess mechanical stiffness changes of the left ventricle (LV) based on routine cine cardiac magnetic resonance (CMR) images. We examine this methodology to assess methodological reproducibility. We assessed a cohort of 10 participants that underwent test/retest short-axis CMR imaging at baseline and follow-up sessions as part of a previous publicly available study. We compare test images to retest images acquired within the same session to assess within-session reproducibility. We also compare test and retest images acquired at the baseline imaging session to test and retest images acquired at the follow-up imaging session to assess between-session reproducibility. Results: We establish the within-session and between-session reproducibility of our method, with global elasticity demonstrating repeatability within a range previously demonstrated in cardiac strain imaging studies. We demonstrate increased repeatability of global elasticity compared to segmental elasticity for both within-session and between-session. Within-subject coefficients of variation for within-session test/retest images globally for all modulus directions and a mechanical fractional mechanical stiffness anisotropy metric ranged from 11% to 28%. Conclusions: Results suggest that our methodology can reproducibly generate estimates of relative mechanical elasticity of the LV and provides a threshold for distinguishing true changes in myocardial mechanical stiffness from experimental variation. BEIM has applications in identifying preclinical cardiotoxicity in breast cancer patients undergoing antineoplastic therapies.

Indexed as

biomechanical modelingcardiaccardiotoxicityelasticitymagnetic resonance imagingreproducibility

Identifiers

PMID36305012
PMCPMC9587916
OpenAlexW4307137188

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.