Evidence map›Paper›PMID 32958041›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2020

High resolution diffusion-weighted imaging with readout segmentation of long variable echo-trains for determining myometrial invasion in endometrial carcinoma.

Mengnv Xie, Zhen Ren, Dujun Bian, Dan Li, Li Yu, Fang Zhu, Rui Huang, Zhibang Zhang, Suye Suye, Chun Fu

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  9. Comparison of ZOOMit-DWI sequence and conventional DWI sequence in endometrial cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
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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

10 authors at 1 institution in 1 country.

Mengnv XieDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China.
Zhen RenDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China.
Dujun BianDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China.
Dan LiDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China.
Li YuDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China.
Fang ZhuDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China.
Rui HuangDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China.
Zhibang ZhangDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China.
Suye SuyeDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China.
Chun FuDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, No.139 Renmin Road, Changsha, Hunan, 410011, PR China. fuchun0814@csu.edu.cn.ORCID http://orcid.org/0000-0001-6947-1159
Central South University · CN

Funding

Hunan Provincial Department of Finance and Education Project (2018) No. 33: (2050205-30299-50502)Hunan Provincial Science and Technology Department 2018SK52508National Natural Science Foundation of China 81771546
6 · The paper itself

Abstract

backgroundWe assessed the image quality of endometrial cancer lesions by readout segmentation of long variable echo-trains (RESOLVE) diffusion-weighted imaging (DWI) compared with that by single-shot echo-planar imaging (SS-EPI) DWI, aimed to explore the value of RESOLVE DWI for determining myometrial invasion and clinical stage in endometrial cancer. MATERIALS AND

methodsFrom April 2017 to March 2018, a total of 30 endometrial cancer patients (mean age 52.8 ± 9.0 years), who had undergone RESOLVE DWI and SS-EPI DWI, were included in the study. The image quality of endometrial carcinoma by two kinds of DWI scanning methods was compared qualitatively and quantitatively. The Spearman rank correlation test was used to assess the correlation of qualitative image quality scores between two readers. The accuracy of two DWI methods in detecting myometrial invasion and staging of endometrial carcinoma was calculated according to postoperative pathological results. The indexes were analyzed including sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV).

resultsThe qualitative score of RESOLVE DWI group was superior to SS-EPI DWI group in every aspect of five aspects (all P < 0.001). Interobserver agreement of depiction was good or excellent in two DWI sequences. Signal to noise ratio and contrast to noise ratio values in RESOLVE DWI group were both higher than those in SS-EPI DWI group (P<0.001). No statistical difference of apparent diffusion coefficient value was observed between two DWI groups (P = 0.261). The specificity, accuracy, PPV, and NPV of estimating myometrial invasion by RESOLVE DWI in three cases (intramucosal lesion, <50% superficial invasion and ≥ 50% deep invasion) were all higher than those by SS-EPI DWI for endometrial carcinoma. Especially RESOLVE DWI was valuable in judging <50% superficial invasion (95%CI:0.586, 0.970). No significant difference in accuracy staging was between the two DWI groups (P = 0.125).

conclusionRESOLVE DWI can provide higher quality images of endometrial carcinoma than SS-EPI DWI. The high-quality images are helpful for precise assessment of myometrial invasion in endometrial cancer.

Indexed as

AdultAgedCarcinomaEcho-Planar ImagingEndometrial NeoplasmsFemaleHumansMiddle AgedMyometriumNeoplasm InvasivenessSignal-To-Noise RatioEndometrial carcinomaMagnetic resonance imagingMyometrial invasionRESOLVE DWI

Identifiers

PMID32958041
PMCPMC7507745
OpenAlexW3087071517

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.