Evidence map›Paper›PMID 36826499›Full record

ArticleEuropean radiology2023

Multiparametric MR imaging with diffusion-weighted, intravoxel incoherent motion, diffusion tensor, and dynamic contrast-enhanced perfusion sequences to assess gallbladder wall thickening: a prospective study based on surgical histopathology.

Daneshwari Kalage, Pankaj Gupta, Ajay Gulati, Thakur Deen Yadav, Vikas Gupta, Lileswar Kaman, Ritambhra Nada, Harjeet Singh, Santosh Irrinki, Parikshaa Gupta and 3 more

Abstract read
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In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Multifocality in gallbladder cancer: An imaging-based study.Clinical and experimental hepatology · 2024
    Article
  7. Applications of artificial intelligence in biliary tract cancers.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2024
    Review
  8. Gallbladder cancer: Progress in the Indian subcontinent.World journal of clinical oncology · 2024
    Review
  9. Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
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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

13 authors at 1 institution in 1 country.

Daneshwari KalageDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pankaj GuptaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India. Pankajgupta959@gmail.com.
Ajay GulatiDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Thakur Deen YadavDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Vikas GuptaDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Lileswar KamanDepartment of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ritambhra NadaDepartment of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Harjeet SinghDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Santosh IrrinkiDepartment of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Parikshaa GuptaDepartment of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Chandan DasDepartment of Clinical Haematology and Medical Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Usha DuttaDepartment of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Manavjit SandhuDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the diagnostic performance of a multiparametric magnetic resonance imaging (MRI) protocol comprising quantitative MRI (diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), diffusion tensor imaging (DTI), and dynamic contrast-enhanced (DCE) perfusion MRI) and conventional MRI in the characterization of gallbladder wall thickening (GWT).

methodsThis prospective study comprised consecutive adults with GWT who underwent multiparametric MRI between July 2020 and April 2022. Two radiologists evaluated the MRI independently. The final diagnosis was based on surgical histopathology. The association of MRI parameters with malignant GWT was evaluated. The area under the curve (AUC) for the quantitative MRI parameters and diagnostic performance of conventional, and multiparametric MRI were compared. The interobserver agreement between two radiologists was calculated.

resultsThirty-five patients (mean age, 56 years, 23 females) with GWT (25 benign and ten malignant) were evaluated. The quantitative MRI parameters significantly associated with malignant GWT were apparent diffusion coefficient on DWI (p = 0.007) and mean diffusivity (MD) on DTI (p = 0.013), perfusion fraction (f) on IVIM (p = 0.033), time to peak enhancement (TTP, p = 0.008), and wash in rate (p = 0.049) on DCE-MRI. TTP had the highest AUC of 0.790, followed by MD (0.782) and f (0.742) (p = 0.213) for predicting malignant GWT. Multiparametric MRI had significantly higher sensitivity (90% vs. 80%, p = 0.045) than conventional MRI for diagnosing malignant GWT. The two radiologists' reading had substantial to near-perfect agreement (kappa = 0.639-1) and moderate to strong correlation (interclass correlation coefficient = 0.5-0.88).

conclusionMultiparametric protocol incorporating advanced sequences improved the diagnostic performance of MRI for differentiating benign and malignant GWT. KEY POINTS: • Multiparametric MRI had 90% sensitivity and 88% specificity for diagnosing malignant GWT, compared to 80% sensitivity and 88% specificity for conventional CE-MRI. • Among the quantitative MRI parameters, TTP (perfusion-MRI) had the highest AUC of 0.790, followed by MD (0.782) and IVIM-f (0.742). • For most quantitative MRI parameters, there was moderate to strong agreement (ICC = 0.5-0.88).

Indexed as

Diffusion Tensor ImagingGallbladderAdultContrast MediaDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMiddle AgedMotionPerfusionProspective StudiesContrast MediaDiffusion tensor imagingGallbladderMultiparametric magnetic resonance imagingPerfusion

Identifiers

PMID36826499
OpenAlexW4321748760

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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.