Evidence map›Paper›PMID 30764876›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2019

Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer.

Wei Yue, Nan Meng, Jing Wang, Wenling Liu, Xuejia Wang, Minghuan Yan, Dongming Han, Jingliang Cheng

Abstract readComparative Study
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

8 authors.

Wei YueDepartment of MRI, The First Affiliated Hospital, Zhengzhou University, 1 Janshe East Road, Zhengzhou, 450000, People's Republic of China.
Nan MengDepartment of MRI, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, People's Republic of China.
Jing WangDepartment of MRI, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, People's Republic of China.
Wenling LiuDepartment of MRI, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, People's Republic of China.
Xuejia WangDepartment of MRI, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, People's Republic of China.
Minghuan YanDepartment of MRI, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, People's Republic of China.
Dongming HanDepartment of MRI, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, People's Republic of China.
Jingliang ChengDepartment of MRI, The First Affiliated Hospital, Zhengzhou University, 1 Janshe East Road, Zhengzhou, 450000, People's Republic of China. mnhcgz@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated and compared the performances of diffusion kurtosis imaging (DKI) and diffusion-weighted imaging (DWI) for diagnosing and histologically grading endometrial cancer. MATERIALS AND

methodsIn this retrospective study, DKI and DWI data for 61 patients with endometrial cancer and 30 patients with a normal endometrium were analyzed, and the mean kurtosis (MK), mean diffusion coefficient (MD) and apparent diffusion coefficient (ADC) values for the endometrial cancer tissue and normal endometrial tissue were acquired. The parameters for the normal endometrium group (G0) and the endometrial cancer groups (G1, G2 and G3) were compared and analyzed. The receiver operating characteristic (ROC) curve was used to evaluate each parameter's diagnostic accuracy and threshold. Spearman correlation analysis was used to analyze the correlations between all parameters and histological grades.

resultsThe MK values for the G0, G1, G2 and G3 groups increased gradually, while the MD and ADC values decreased gradually. Except for the differences in the ADC values between G0 and G1, the differences among the groups were statistically significant (P < 0.05). The MK values had the highest diagnostic accuracy in differentiating G0 and (G1 + G2 + G3), G0 and G1, G1 and G2, and G2 and G3 (AUC = 0.93, 0.76, 0.91, 0.91, P < 0.05). MK was maximally correlated with histological grade, followed by MD and ADC (MK > MD > ADC; r = - 0.85, + 0.82, + 0.76, P < 0.01).

conclusionBoth DKI and DWI can be used to evaluate the diagnosis and histological grading of endometrial cancer. Compared with DWI, the DKI model is a more complete mathematical model with more sensitive parameters, which can more effectively evaluate the pathological and physiological characteristics of endometrial cancer.

Indexed as

AdultAgedDiffusion Magnetic Resonance ImagingEndometrial NeoplasmsEndometriumFeasibility StudiesFemaleHumansImage Processing, Computer-AssistedMiddle AgedNeoplasm GradingRetrospective StudiesROC CurveDiffusion kurtosis imagingDiffusion-weighted imagingEndometrial cancer

Identifiers

PMID30764876
PMCPMC6376714

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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.