Evidence map›Paper›PMID 39985650›Full record

ArticleMagma (New York, N.Y.)2025

Anatomical zone and tissue type impacts the repeatability of quantitative MRI parameters and radiomic features for longitudinal monitoring of treatment response in the prostate.

Yu-Feng Wang, Sirisha Tadimalla, Lois Holloway, Niluja Thiruthaneeswaran, Annette Haworth

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Reproducibility and quality assurance in MRI.Magma (New York, N.Y.) · 2025
    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

5 authors.

Yu-Feng WangInstitute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia. yu-feng.wang@sydney.edu.au.ORCID http://orcid.org/0000-0002-1263-0224
Sirisha TadimallaInstitute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Lois HollowayInstitute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Niluja ThiruthaneeswaranInstitute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Annette HaworthInstitute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.

Funding

Cancer Institute NSW TPG182165National Health and Medical Research Council 1126955Sydney West Translational Cancer Research Centre Partner Program Grant 2019
6 · The paper itself

Abstract

objectiveTo (1) establish the repeatability coefficient (%RC) of region of interest (ROI) and voxel-wise measurements of a comprehensive range of quantitative MRI (qMRI) parameters and radiomic features in the prostate, and (2) assess the impact of different tissue types (benign vs tumor) and anatomical zones (peripheral, PZ, and non-peripheral, nPZ) on the %RCs.

methodsTest-retest qMRI was acquired in ten prostate cancer patients and six healthy volunteers. Parametric maps of apparent diffusion coefficient (ADC), diffusion coefficient (D), perfusion fraction (f), hypoxia score (HS), longitudinal relaxation time (T1), and observed transverse relaxation rate (R2*) were calculated. Fifty-nine radiomic feature maps were calculated from each of the parametric maps and T2-weighted images. The %RCs between tissue type and anatomical zones were compared using the Student's t test at 95% significance level.

resultsThe %RC of ADC, D and HS, and up to 118 (out of all 413) radiomic features was significantly different between either anatomical zones, or between tumor and benign tissue, or both.

conclusionsDWI-derived parameters and a portion of their radiomic features require %RCs to be established specifically for anatomical zones, tumor and benign tissues. The remaining qMRI parameters and features can have a single threshold for the whole prostate.

Indexed as

Magnetic Resonance ImagingProstateProstatic NeoplasmsAgedDiffusion Magnetic Resonance ImagingHealthy VolunteersHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedLongitudinal StudiesMaleMiddle AgedRadiomicsReproducibility of ResultsTreatment OutcomeMagnetic resonance imagingProstate cancerQuantitative parameter mappingRepeatabilityVoxel-based

Identifiers

PMID39985650
PMCPMC12255548

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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.