Evidence map›Paper›PMID 34454623›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021

Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings.

Linqi Zhang, Xi Long, Mayidili Nijiati, Tianhui Zhang, Mengsi Li, Ying Deng, Sichi Kuang, Yuanqiang Xiao, Jie Zhu, Bingjun He and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 16 citations in OpenAlex.

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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

16 authors at 4 institutions in 2 countries.

Linqi Zhang *Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Xi Long *Department of Radiology, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital of Sun Yat-sen University, Meizhou, People's Republic of China.
Mayidili Nijiati *Department of Radiology, The First People's Hospital of Kashi Area, Kashi, People's Republic of China.
Tianhui ZhangDepartment of Radiology, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital of Sun Yat-sen University, Meizhou, People's Republic of China.
Mengsi LiDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Ying DengDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Sichi KuangDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Yuanqiang XiaoDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Jie ZhuDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Bingjun HeDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Jingbiao ChenDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Phillip RossmanDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Kevin J GlaserDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Richard L EhmanDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Jin WangDepartment of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China. wangjin3@mail.sysu.edu.cn.
Sun Yat-sen University · CNMayo Clinic in Arizona · USMeizhou City People's Hospital · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Clinical Research Foundation of the 3rd Affiliated Hospital of Sun Yat-sen University YHJH201901Guangdong Basic and Applied Basic Research Foundation 2019A1515010845Guangdong Basic and Applied Basic Research Foundation 2021A1515010582Key Research and Development Program of Guangdong Province 2019B020235002National Natural Science Foundation of China grant 91959118NIBIB NIH HHS R37 EB001981SKY Radiology Department International Medical Research Foundation of China Z-2014-07-1912-15
6 · The paper itself

Abstract

backgroundPreoperative evaluation of aggressiveness, including tumor histological subtype, grade of differentiation, Federation International of Gynecology and Obstetrics (FIGO) stage, and depth of myometrial invasion, is significant for treatment planning and prognosis in endometrial carcinoma (EC). The purpose of this study was to evaluate whether three-dimensional (3D) magnetic resonance elastography (MRE) can help predict the aggressiveness of EC.

methodsFrom August 2015 to January 2019, 82 consecutive patients with suspected uterine tumors underwent pelvic MRI and MRE scans, and 15 patients with confirmed EC after surgical resection were enrolled. According to pathological results (tumor grade, histological subtype, FIGO stage, and myometrial invasiveness), the patients were divided into two subgroups. The independent-samples t-test or Mann-Whitney U test was used to compare the stiffness between different groups. The diagnostic performance was determined with receiver operating characteristic (ROC) curve analysis.

resultsThe stiffness of EC with ≥ 50 % (n = 6) myometrial invasion was significantly higher than that with < 50 % (n = 9) myometrial invasion (3.68 ± 0.59 kPa vs. 2.61 ± 0.72 kPa, p = 0.009). Using a stiffness of 3.04 kPa as a cutoff value resulted in 100 % sensitivity and 77.8 % specificity for differentiating ≥ 50 % myometrial invasion from < 50 % myometrial invasion of EC. The stiffness of poorly differentiated EC (n = 8) was significantly higher than that of well/moderately differentiated EC (n = 7) (3.47 ± 0.64 kPa vs. 2.55 ± 0.82 kPa, p = 0.028). Using a stiffness of 3.04 kPa as a cutoff value resulted in 75 % sensitivity and 71.4 % specificity for differentiating poorly differentiated from well/moderately differentiated EC. The stiffness of FIGO stage II/III EC was significantly higher than that of FIGO stage I EC (3.69 ± 0.65 kPa vs. 2.72 ± 0.76 kPa, p = 0.030). Using a stiffness of 3.04 kPa as a cutoff value resulted in 100 % sensitivity and 70 % specificity for differentiating FIGO stage I EC from FIGO stage II/III EC. The tumor stiffness value in type II (n = 3) EC was higher than that in type I (n = 12) EC (3.67 ± 0.59 kPa vs. 2.88 ± 0.85 kPa), but the difference was not significant (p = 0.136).

conclusionsTumor stiffness measured by 3D MRE may be potentially useful for predicting tumor grade, FIGO stage and myometrial invasion of EC and can aid in the preoperative risk stratification of EC.

Indexed as

Elasticity Imaging TechniquesEndometrial NeoplasmsFemaleHumansMagnetic Resonance ImagingNeoplasm InvasivenessNeoplasm StagingPreoperative CareROC CurveEndometrial carcinoma (EC)Magnetic resonance elastography (MRE)Tumor aggressivenessTumor stiffness

Identifiers

PMID34454623
PMCPMC8399726
OpenAlexW3196931051

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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.