Evidence map›Paper›PMID 30744694›Full record

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

Application of magnetic resonance diffusion kurtosis imaging for distinguishing histopathologic subtypes and grades of rectal carcinoma.

Ziqiang Wen, Yan Chen, Xinyue Yang, Baolan Lu, Yiyan Liu, Bingqi Shen, Shenping Yu

Abstract readEvaluation 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Native T1 mapping for differentiating the histopathologic type, grade, and stage of rectal adenocarcinoma: a pilot study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Article
  7. Review
  8. Article
  9. 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

7 authors.

Ziqiang WenDepartment of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
Yan ChenDepartment of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
Xinyue YangDepartment of Radiology, Southern Medical University Zhujiang Hospital, Guangzhou, 510282, China.
Baolan LuDepartment of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
Yiyan LiuDepartment of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
Bingqi ShenDepartment of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
Shenping YuDepartment of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China. yushp@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-5988-781X

Funding

Province science and technology of Guangdong 2014A020212126
6 · The paper itself

Abstract

backgroundTo evaluate the diagnostic performance of diffusion kurtosis imaging (DKI) for distinguishing different histopathological subtypes and grades of rectal carcinoma and to compare DKI with conventional diffusion-weighted imaging (DWI).

methodsThis prospective study involved 132 patients with rectal carcinoma, comprising 116 with adenocarcinoma not otherwise specified (AC) and 16 with mucinous carcinoma (MC). High spatial resolution magnetic resonance (MR) and DKI sequences (b values of 0, 600, 1000, 1500 and 2000 s/mm

resultsThe MD and ADC values were significantly higher for MC than for AC (1.94 ± 0.51 vs. 1.33 ± 0.02 and 1.26 ± 0.64 vs. 0.92 ± 0.01, respectively; P < 0.001). The MK values were significantly lower for MC than for AC (0.66 ± 0.02 vs. 0.93 ± 0.09, P < 0.001). The MK and MD values demonstrated higher sensitivity (94%, both) and specificity (96, 93%, respectively) than the ADC values. However, all the parameters derived from both DKI and DWI showed no significant differences between different histological grades.

conclusionsDKI is a more valuable imaging biomarker than conventional DWI for differentiating MC from AC. However, it is still debatable whether DKI is useful for distinguishing different histological grades.

Indexed as

Adenocarcinoma, MucinousAdultAgedAged, 80 and overDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedRectal NeoplasmsSensitivity and SpecificityDiffusion kurtosis imagingImaging biomarkerMagnetic resonance imagingMucinous carcinomaRectal cancer

Identifiers

PMID30744694
PMCPMC6371623

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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.