Evidence map›Paper›PMID 32967100›Full record

ArticleJournal of personalized medicine2020

Retrospective CT/MRI Texture Analysis of Rapidly Progressive Hepatocellular Carcinoma.

Charissa Kim, Natasha Cigarroa, Venkateswar Surabhi, Balaji Ganeshan, Anil K Pillai

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Charissa KimDepartment of Surgery, Huntington Memorial Hospital, 100 W California Blvd, Pasadena, CA 91105, USA.ORCID 0000-0003-4899-5898
Natasha CigarroaDepartment of Diagnostic and Interventional Imaging, McGovern Medical School at UTHealth, 6431 Fannin St, Houston, TX 77030, USA.ORCID 0000-0002-2294-9589
Venkateswar SurabhiDepartment of Diagnostic and Interventional Imaging, McGovern Medical School at UTHealth, 6431 Fannin St, Houston, TX 77030, USA.
Balaji GaneshanInstitute of Nuclear Medicine, University College Medicine, 5th Floor, Tower University College Hospital, 235 Euston Road, London NW1 2BU, UK.ORCID 0000-0002-1386-0531
Anil K PillaiDivision of Vascular Interventional Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA.ORCID 0000-0001-6285-8908

Funding

RSNA Research Medical Student Grant #RMS1918
6 · The paper itself

Abstract

Rapidly progressive hepatocellular carcinoma (RPHCC) is a subset of hepatocellular carcinoma that demonstrates accelerated growth, and the radiographic features of RPHCC versus non-RPHCC have not been determined. The purpose of this retrospective study was to use baseline radiologic features and texture analysis for the accurate detection of RPHCC and subsequent improvement of clinical outcomes. We conducted a qualitative visual analysis and texture analysis, which selectively extracted and enhanced imaging features of different sizes and intensity variation including mean gray-level intensity (mean), standard deviation (SD), entropy, mean of the positive pixels (MPP), skewness, and kurtosis at each spatial scaling factor (SSF) value of RPHCC and non-RPHCC tumors in a computed tomography (CT) cohort of n = 11 RPHCC and n = 11 non-RPHCC and a magnetic resonance imaging (MRI) cohort of n = 13 RPHCC and n = 10 non-RPHCC. There was a statistically significant difference across visual CT irregular margins

Indexed as

feature detectionhepatocellular carcinomaqualitative visual analysistexture analysis

Identifiers

PMID32967100
PMCPMC7564860

What OpenQuestion holds

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LicenceCC BY
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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.