Evidence map›Paper›PMID 27380733›Full record

ArticleScientific reports2016

Dynamic Contrast-enhanced MR Imaging in Renal Cell Carcinoma: Reproducibility of Histogram Analysis on Pharmacokinetic Parameters.

Hai-Yi Wang, Zi-Hua Su, Xiao Xu, Zhi-Peng Sun, Fei-Xue Duan, Yuan-Yuan Song, Lu Li, Ying-Wei Wang, Xin Ma, Ai-Tao Guo and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  5. Feasibility of opportunistic osteoporosis screening in routine contrast-enhanced multi detector computed tomography (MDCT) using texture analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    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

12 authors.

Hai-Yi WangDepartment of Radiology, Chinese PLA General Hospital, Beijing, 100853, China.
Zi-Hua SuLift Science, Advanced Application Team, GE Healthcare China, Beijing, 100176, China.
Xiao XuLift Science, Advanced Application Team, GE Healthcare China, Shanghai, 201203, China.
Zhi-Peng SunDepartment of Radiology, No.1 Hospital of Zhangjiakou, Hebei, 075000, China.
Fei-Xue DuanMedical Imaging Center, Jiayuguan Jiugang Hospital, Jiayuguan, Gansu, 735100, China.
Yuan-Yuan SongDepartment of Radiology, General Hospital of Pingdingshan Coal Group, Pingdingshan, Henan, 467000, China.
Lu LiDepartment of Radiology, Chinese PLA General Hospital, Beijing, 100853, China.
Ying-Wei WangDepartment of Radiology, Chinese PLA General Hospital, Beijing, 100853, China.
Xin MaDepartment of Urology, Chinese PLA General Hospital, Beijing, 100853, China.
Ai-Tao GuoDepartment of Pathology, Chinese PLA General Hospital, Beijing 100853, China.
Lin MaDepartment of Radiology, Chinese PLA General Hospital, Beijing, 100853, China.
Hui-Yi YeDepartment of Radiology, Chinese PLA General Hospital, Beijing, 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacokinetic parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) have been increasingly used to evaluate the permeability of tumor vessel. Histogram metrics are a recognized promising method of quantitative MR imaging that has been recently introduced in analysis of DCE-MRI pharmacokinetic parameters in oncology due to tumor heterogeneity. In this study, 21 patients with renal cell carcinoma (RCC) underwent paired DCE-MRI studies on a 3.0 T MR system. Extended Tofts model and population-based arterial input function were used to calculate kinetic parameters of RCC tumors. Mean value and histogram metrics (Mode, Skewness and Kurtosis) of each pharmacokinetic parameter were generated automatically using ImageJ software. Intra- and inter-observer reproducibility and scan-rescan reproducibility were evaluated using intra-class correlation coefficients (ICCs) and coefficient of variation (CoV). Our results demonstrated that the histogram method (Mode, Skewness and Kurtosis) was not superior to the conventional Mean value method in reproducibility evaluation on DCE-MRI pharmacokinetic parameters (K( trans) &Ve) in renal cell carcinoma, especially for Skewness and Kurtosis which showed lower intra-, inter-observer and scan-rescan reproducibility than Mean value. Our findings suggest that additional studies are necessary before wide incorporation of histogram metrics in quantitative analysis of DCE-MRI pharmacokinetic parameters.

Indexed as

Magnetic Resonance ImagingAdultAgedCarcinoma, Renal CellContrast MediaFemaleHumansKidney NeoplasmsMaleMiddle AgedReproducibility of ResultsContrast Media

Identifiers

PMID27380733
PMCPMC4933897

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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.