Evidence map›Paper›PMID 30390364›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

A Study of the Correlation of Perfusion Parameters in High-Resolution GRASP MRI With Microvascular Density in Lung Cancer.

Lihua Chen, Xianchun Zeng, Youli Wu, Xiaochu Yan, Xuequan Huang, Hui Chen, Jiuquan Zhang, Jian Wang, Li Feng

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 13 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

9 authors at 4 institutions in 2 countries.

Lihua ChenDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, P.R. China.
Xianchun ZengDepartment of Radiology, Guizhou Provincial People's Hospital, Guizhou, P.R. China.
Youli WuDepartment of Pathology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, P.R. China.
Xiaochu YanDepartment of Pathology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, P.R. China.
Xuequan HuangDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, P.R. China.
Hui ChenDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, P.R. China.
Jiuquan ZhangDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, P.R. China.
Jian WangDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, P.R. China.
Li FengDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-8692-7645
Army Medical University · CNChongqing University · CNGuizhou Provincial People's Hospital · CNMemorial Sloan Kettering Cancer Center · US

Funding

Advanced Software for MRI, PET, SPECT and CT Image AnalysisU24EB028980 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 2019 to 2021
$1.2M
NIBIB NIH HHS U24 EB028980
6 · The paper itself

Abstract

backgroundThe histological count of microvascular density (MVD) is the current clinical standard for assessing tumor angiogenesis. Although it is hypothesized that perfusion MRI can be a noninvasive alternative to MVD, there have been few studies to validate their correlations, particularly in lung cancer. PURPOSE: To investigate the correlation between MVD and perfusion parameters obtained from high-resolution GRASP (Golden-angle RAdial Sparse Parallel) dynamic contrast-enhanced (DCE)-MRI in a cohort of lung cancer patients, and to validate that GRASP MRI can serve as a free-breathing, noninvasive imaging approach for studying tumor angiogenesis. STUDY TYPE: Prospective. POPULATION: Twenty-five lung cancer patients (16 male, 9 female, mean age = 57.3 ± 11.7 years). FIELD STRENGTH/SEQUENCE: 3T MRI; a prototype golden-angle stack-of-stars sequence. ASSESSMENT: Contrast-enhanced MR data were acquired during free breathing and were reconstructed using GRASP with a temporal resolution of ∼3 sec/phase. For all data, perfusion analysis was performed using a standard Tofts model to generate the volume transfer coefficient (K STATISTICAL TESTS: Pearson correlation analysis; one-way analysis of variance analysis; least significant difference-t method of multiple comparisons.

resultsThe correlation coefficient was 0.983 and 0.972 for the measurement and remeasurement of K DATA

conclusionHigh spatiotemporal resolution DCE-MRI using GRASP is a promising noninvasive alternative to the histological count of MVD for assessing tumor angiogenesis in lung cancer. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1186-1194.

Indexed as

Magnetic Resonance ImagingMicrocirculationAdultAgedContrast MediaFemaleHumansImage Interpretation, Computer-AssistedLung NeoplasmsMaleMiddle AgedNeovascularization, PathologicPerfusionProspective StudiesContrast Mediacompressed sensingfree-breathinggolden-angle radialGRASPlung cancermicrovascular density

Identifiers

PMID30390364
PMCPMC13189685
OpenAlexW2898906513

What OpenQuestion holds

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LicenceCC BY
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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.