Evidence map›Paper›PMID 34052899›Full record

ArticleMagma (New York, N.Y.)2022

IVIM-DKI for differentiation between prostate cancer and benign prostatic hyperplasia: comparison of 1.5 T vs. 3 T MRI.

Archana Vadiraj Malagi, Arjunlokesh Netaji, Virendra Kumar, Esha Baidya Kayal, Kedar Khare, Chandan Jyoti Das, Fernando Calamante, Amit Mehndiratta

Abstract read
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. The evolving PI-RADS paradigm.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Review
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  19. Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

8 authors at 3 institutions in 2 countries.

Archana Vadiraj MalagiCentre for Biomedical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Arjunlokesh NetajiDepartment of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India.
Virendra KumarDepartment of Nuclear Magnetic Resonance, All India Institute of Medical Sciences, New Delhi, India.
Esha Baidya KayalCentre for Biomedical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Kedar KhareDepartment of Physics, Indian Institute of Technology Delhi, New Delhi, India.
Chandan Jyoti DasDepartment of Radio-Diagnosis, All India Institute of Medical Sciences, New Delhi, India.
Fernando CalamanteSydney Imaging and School of Biomedical Engineering, University of Sydney, Sydney, Australia.
Amit MehndirattaCentre for Biomedical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India. amit.mehndiratta@keble.oxon.org.ORCID http://orcid.org/0000-0001-6477-2462
All India Institute of Medical Sciences · INIndian Institute of Technology Delhi · INThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo implement an advanced spatial penalty-based reconstruction to constrain the intravoxel incoherent motion (IVIM)-diffusion kurtosis imaging (DKI) model and investigate whether it provides a suitable alternative at 1.5 T to the traditional IVIM-DKI model at 3 T for clinical characterization of prostate cancer (PCa) and benign prostatic hyperplasia (BPH). MATERIALS AND

methodsThirty-two patients with biopsy-proven PCa were recruited for MRI examination (n = 16 scanned at 1.5 T, n = 16 scanned at 3 T). Diffusion-weighted imaging (DWI) with 13 b values (b = 0 to 2000 s/mm

resultsIVIM-DKI modeled using novel model with TV spatial penalty function at 1.5 T, produced parameter maps with 50-78% lower coefficient of variation (CV) than traditional model at 3 T. Novel model estimated higher D with lower D*, f and k values at both field strengths compared to traditional model. For scanner differences, the novel model at 1.5 T estimated lower D* and f values as compared to traditional model at 3 T. At 1.5 T, D and f values were significantly lower with k values significantly higher in tumor than BPH and healthy tissue. D (AUC: 0.98), f (AUC: 0.82), and k (AUC: 0.91) parameters estimated using novel model showed high diagnostic performance in cancer lesion detection at 1.5 T. DISCUSSION: In comparison with the IVIM-DKI model at 3 T, IVIM-DKI signal modeled with the TV penalty function at 1.5 T showed lower estimation errors. The proposed novel model can be utilized for improved detection of prostate lesions.

Indexed as

Diffusion Tensor ImagingProstatic HyperplasiaProstatic NeoplasmsHumansMaleMotionReproducibility of ResultsBenign prostatic hyperplasiaDiffusion kurtosis imagingIntravoxel incoherent motionProstate cancerTotal variation penalty function

Identifiers

PMID34052899
OpenAlexW3165378500

What OpenQuestion holds

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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.