Evidence map›Paper›PMID 33616764›Full record

ArticleEuropean radiology2021

In vivo assessment of Lauren classification for gastric adenocarcinoma using diffusion MRI with a fractional order calculus model.

M Muge Karaman, Lei Tang, Ziyu Li, Yu Sun, Jia-Zheng Li, Xiaohong Joe Zhou

Abstract read
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In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 18 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

6 authors at 2 institutions in 2 countries.

M Muge KaramanCenter for MR Research, University of Illinois at Chicago, Chicago, IL, USA.
Lei TangDepartment of Radiology, Peking University Cancer Hospital and Institute, Beijing, China.
Ziyu LiDepartment of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute, Beijing, China.
Yu SunDepartment of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Jia-Zheng LiDepartment of Radiology, Peking University Cancer Hospital and Institute, Beijing, China.
Xiaohong Joe ZhouCenter for MR Research, University of Illinois at Chicago, Chicago, IL, USA. xjzhou@uic.edu.ORCID http://orcid.org/0000-0003-0793-4925
Peking University · CNUniversity of Illinois Chicago · US

Funding

A High-End 3 Tesla Human MRI Scanner Dedicated to ResearchS10RR028898 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ZHOU, XIAOHONG JOE · 2010 to 2010
$2.9M
Beijing Natural Science Foundation Z180001National Key R&D Program of China 2018YFC0910700Natural Science Foundation of China 91959205NCRR NIH HHS S10 RR028898
6 · The paper itself

Abstract

objectivesTo evaluate the performance of a fractional order calculus (FROC) diffusion model for imaging-based assessment of Lauren classification in gastric adenocarcinoma.

methodsIn this study, 43 patients (15 females, 28 males) with gastric adenocarcinoma underwent MRI at 1.5 T. According to pathology-based Lauren classification, 10 patients had diffuse-type, 20 had intestinal-type, and 13 had mixed-type lesions. The diffuse and mixed types were combined as diffuse-and-mixed type to be differentiated from the intestinal type using diffusion MRI. Diffusion-weighted images were acquired by using eleven b-values (0-2000 s/mm

resultsSignificant differences were observed between diffuse-and-mixed-type and intestinal-type lesions in D (0.99 ± 0.20 μm

conclusionDiffusion MRI with the FROC model holds promise for non-invasive assessment of Lauren classification for gastric adenocarcinoma. KEY POINTS: • High b-value diffusion MRI with a FROC model that is sensitive to tissue microstructures can differentiate the diffuse-and-mixed type from intestinal type of gastric adenocarcinoma. • The combination of FROC parameters produced the best result for distinguishing the diffuse-and-mixed type from the intestinal type with an area under the receiver operating characteristic curve of 0.793. • The FROC model parameters, individually or conjointly, hold promise for repeated, non-invasive evaluations of gastric adenocarcinoma at various time points throughout disease progression or regression to complement conventional Lauren classification.

Indexed as

AdenocarcinomaCalculiStomach NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansMaleROC CurveDiagnosisDiffusion magnetic resonance imagingHistologyMagnetic resonance imagingStomach neoplasms

Identifiers

PMID33616764
OpenAlexW3132373456

What OpenQuestion holds

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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.