Evidence map›Paper›PMID 32671512›Full record

ArticleEuropean radiology2020

Does the change in volumetric functional MR metrics post-TACE predict histopathologic grading of hepatocellular carcinoma?

Sanaz Ameli, Mohammadreza Shaghaghi, Mounes Aliyari Ghasabeh, Pallavi Pandey, Bita Hazhirkarzar, Roya Rezvani Habibabadi, Maryam Ghadimi, Pegah Khoshpouri, Ankur Pandey, Ihab R Kamel

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Article in European radiology, 2020. 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
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Sanaz AmeliRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Mohammadreza ShaghaghiRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Mounes Aliyari GhasabehRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Pallavi PandeyRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Bita HazhirkarzarRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Roya Rezvani HabibabadiRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Maryam GhadimiRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Pegah KhoshpouriRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Ankur PandeyRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA.
Ihab R KamelRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Room 143, MRI 143, Baltimore, MD, 21287, USA. ikamel@jhmi.edu.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate whether the change in volumetric ADC (vADC) and volumetric venous enhancement (vVE) after transarterial chemoembolization (TACE) can predict the histologic grading of hepatocellular carcinoma (HCC). MATERIALS AND

methodsThis HIPPA-compliant retrospective study was approved by our institutional review board. The study population included 106 HCC patients (147 index lesions) who had MR imaging within 3 months before and after TACE and pathologic report of the HCC either by biopsy or liver transplantation/resection between 2001 and 2017. Volumetric measurements of venous enhancement (VE) and apparent diffusion coefficient (ADC) were performed on baseline and post-TACE MRI. The tumors were histologically classified into two low-grade and high-grade groups. The parameters between two groups were compared using bivariate and multivariate analyses.

resultsMedian change in vADC, vVE, and absolute vADC skewness after TACE was higher in low-grade HCCs as compared with high-grade HCCs (p < 0.001, p = 0.005, p = 0.04, respectively). Combining ΔvADC, ΔvVE, and the etiology for background liver disease in multivariate analysis had the highest accuracy in distinguishing high-grade tumors (AUC = 91%).

conclusionΔvADC and ΔvVE after TACE are potential predictors of HCC histopathological grading. Combining functional MRI biomarkers with the etiology of liver disease can enhance the accuracy in assessing degree of differentiation. KEY POINTS: • Change in volumetric functional MRI biomarkers after TACE can be a non-invasive method to evaluate tumor histopathology in HCC. • The etiology of background liver disease might be a predictor of tumor degree of differentiation.

Indexed as

Carcinoma, HepatocellularChemoembolization, TherapeuticLiver NeoplasmsHumansMagnetic Resonance ImagingRetrospective StudiesTreatment OutcomeChemoembolizationFunctional MRIHepatocellular carcinomaHistopathology

Identifiers

PMID32671512
OpenAlexW3042557376

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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.