Evidence map›Paper›PMID 35156741›Full record

ArticleJournal of magnetic resonance imaging : JMRI2022

Evaluation of Monoexponential, Stretched-Exponential and Intravoxel Incoherent Motion MRI Diffusion Models in Early Response Monitoring to Neoadjuvant Chemotherapy in Patients With Breast Cancer-A Preliminary Study.

Zyad M Almutlaq, Daniel J Wilson, Sarah E Bacon, Nisha Sharma, Samuel Stephens, Tatendashe Dondo, David L Buckley

Open access · hybridAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Zyad M AlmutlaqBiomedical Imaging, University of Leeds, Leeds, UK.ORCID 0000-0002-0337-0571
Daniel J WilsonDepartment of Medical Physics & Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Sarah E BaconDepartment of Medical Physics & Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Nisha SharmaDepartment of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Samuel StephensBiomedical Imaging, University of Leeds, Leeds, UK.
Tatendashe DondoClinical and Population Sciences Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
David L BuckleyBiomedical Imaging, University of Leeds, Leeds, UK.ORCID 0000-0001-6659-8365
University of Leeds · GBLeeds Teaching Hospitals NHS Trust · GB

Funding

Cancer Research UK 28832
6 · The paper itself

Abstract

backgroundThere has been a growing interest in exploring the applications of stretched-exponential (SEM) and intravoxel incoherent motion (IVIM) models of diffusion-weighted imaging (DWI) in breast imaging, with the focus on differentiation of breast lesions. However, the use of SEM and IVIM models to predict early response to neoadjuvant chemotherapy (NACT) has received less attention. PURPOSE: To investigate the value of monoexponential, SEM, and IVIM models to predict early response to NACT in patients with primary breast cancer. STUDY TYPE: Prospective. POPULATION: Thirty-seven patients with primary breast cancer (aged 46 ± 11 years) due to undergo NACT. FIELD STRENGTH/SEQUENCES: A 1.5-T MR scanner, T ASSESSMENT: Tumor volume, apparent diffusion coefficient, tissue diffusion (D STATISTICAL TESTS: Mann-Whitney test, receiver operating characteristic (ROC) curve. Statistical significance level was P < 0.05.

resultsFollowing NACT, 17 patients were determined to be pathological responders and 20 nonresponders. Tumor volume was significantly larger in nonresponders at each MRI time-point and demonstrated reasonable performance in predicting response (area under the ROC curve [AUC] = 0.83-0.87). No significant differences between groups were found in the diffusion coefficients at each time-point (P = 0.09-1). The parameters α (SEM), f, and f × D

conclusionDiffusion coefficients derived from the monoexponential, SEM, and IVIM models did not predict pathological response. However, the IVIM-derived parameters f and f × D LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 2.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMotionProspective Studiesbreast cancerdiffusion-weighted MRIimaging biomarkersneoadjuvant chemotherapyquantitative evaluation

Identifiers

PMID35156741
PMCPMC9543625
OpenAlexW4212910613

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Registered trials

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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.