Evidence map›Paper›PMID 30753222›Full record

ArticlePloS one2019

Histogram analysis of prostate cancer on dynamic contrast-enhanced magnetic resonance imaging: A preliminary study emphasizing on zonal difference.

Chih-Ching Lai, Pin-Hsun Huang, Fu-Nien Wang, Shu-Huei Shen, Hsin-Kai Wang, Hsian-Tzu Liu, Hsiao-Jen Chung, Tzu-Ping Lin, Yen-Hwa Chang, Chin-Chen Pan and 1 more

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Article in PloS one, 2019. 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

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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

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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

11 authors.

Chih-Ching LaiDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Pin-Hsun HuangDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Fu-Nien WangDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Shu-Huei ShenDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID 0000-0002-2776-4671
Hsin-Kai WangDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsian-Tzu LiuDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsiao-Jen ChungSchool of Medicine, Taipei, National Yang-Ming University, Taipei, Taiwan.
Tzu-Ping LinSchool of Medicine, Taipei, National Yang-Ming University, Taipei, Taiwan.
Yen-Hwa ChangSchool of Medicine, Taipei, National Yang-Ming University, Taipei, Taiwan.
Chin-Chen PanSchool of Medicine, Taipei, National Yang-Ming University, Taipei, Taiwan.
Shin-Lei PengDepartment of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study evaluated the performance of histogram analysis in the time course of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for differentiating cancerous tissues from benign tissues in the prostate.

methodsWe retrospectively analyzed the histograms of DCE-MRI of 30 patients. Histograms within regions of interest(ROI) in the peripheral zone (PZ) and transitional zone (TZ) were separately analyzed. The maximum difference wash-in slope (MWS) and delay phase slope (DPS) were defined for each voxel. Differences in histogram parameters, namely the mean, standard deviation (SD), the coefficient of variation (CV), kurtosis, skewness, interquartile range (IQR), percentile (P10, P25, P75, P90, and P90P10), Range, and modified full width at half-maximum (mFWHM) between cancerous and benign tissues were assessed.

resultsIn the TZ, CV for ROIs of 7.5 and 10mm was the only significantly different parameter of the MWS (P = 0.034 and P = 0.004, respectively), whereas many parameters of the DPS (mean, skewness, P10, P25, P50, P75 and P90) differed significantly (P = <0.001-0.016 and area under the curve [AUC] = 0.73-0.822). In the PZ, all parameters of the MWS exhibited significant differences, except kurtosis and skewness in the ROI of 7.5mm(P = <0.001-0.017 and AUC = 0.865-0.898). SD, IQR, mFWHM, P90P10 and Range were also significant differences in the DPS (P = 0.001-0.035).

conclusionThe histogram analysis of DCE-MRI is a potentially useful approach for differentiating prostate cancer from normal tissues. Different histogram parameters of the MWS and DPS should be applied in the TZ and PZ.

Indexed as

Contrast MediaImage Processing, Computer-AssistedMagnetic Resonance ImagingAgedHumansMaleMiddle AgedNeoplasm GradingProstatic NeoplasmsRetrospective StudiesROC CurveContrast Media

Identifiers

PMID30753222
PMCPMC6372178

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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.