Evidence map›Paper›PMID 35116707›Full record

ArticleTranslational cancer research2021

Study on the correlation between energy spectrum computed tomography imaging and the pathological characteristics and prognosis of cervical cancer.

Libo Pan, Xia Jia, Xuewu Zhao, Bei Zhang, Shusheng Wang, Tao Fan, Min Zhou, Yuan Yuan, Guoqing Wang, Longmei Xue

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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 2 institutions in 1 country.

Libo PanDepartment of Computed Tomography, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Xia JiaDepartment of Computed Tomography, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Xuewu ZhaoDepartment of Computed Tomography, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Bei ZhangDepartment of Computed Tomography, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Shusheng WangDepartment of Computed Tomography, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Tao FanDepartment of Computed Tomography, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Min ZhouDepartment of Female Tumor, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Yuan YuanDepartment of Female Tumor, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Guoqing WangDepartment of Female Tumor, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Longmei XueDepartment of Computed Tomography, Shaanxi Provincial Cancer Hospital, Xi'an, China.
Shaanxi Provincial People's Hospital · CNJiangxi Provincial Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study is to investigate the correlation between energy spectrum computed tomography (CT) imaging and the pathological characteristics and prognosis of cervical cancer.

methodsAll participants underwent energy spectrum CT plain scan and enhanced scan of the cervix, uterine body, and common iliac vein. The correlation between the slope of energy spectrum attenuation curve and pathological characteristics and curative effect was analyzed, and the receiver operating characteristic (ROC) curve of the slope of energy spectrum attenuation curve to distinguish some pathological characteristics and curative effect was constructed.

resultsThe energy spectrum curves of cervix, uterine body, and common iliac vein all showed a downward trend. The slope of cervix energy spectrum curve showed a significant difference in different differentiation degree (P<0.05), and the slope of energy spectrum curve showed an upward trend. The slope of energy spectrum curve of common iliac vein was significantly different between high and low cell proliferation antigen marker (Ki67) (P<0.05), and the slope of Ki67 high expression was higher than that of Ki67 low expression. Treatment was effective in 17 participants and ineffective in 11. After treatment, the energy spectrum curve slope of cervix and energy spectrum curve slope of common iliac vein in the effective group were significantly increased compared with before treatment (P<0.05), and the energy spectrum curve slope of cervix in the ineffective group was increased compared with before treatment, but the difference was not significant (P>0.05). The area under the curve (AUC) of distinguishing Ki67 expression of energy spectrum curve slope of common iliac vein was 0.7008, sensitivity was 66.67%, and specificity was 62.34%. The AUC of distinguishing the curative effect of cervical energy spectrum curve slope was 0.6131, sensitivity was 56.25%, and specificity was 59.09%. The AUC of distinguishing the curative effect of energy spectrum curve slope of common iliac vein was 0.6563, sensitivity was 60.42%, and specificity was 58.33%.

conclusionsThe energy spectrum curve slope has potential value in the prediction of certain specific pathological types of cervical cancer and the evaluation of curative effect.

Indexed as

cervical cancerEnergy spectrum CT imagingevaluation of curative effectpathological features

Identifiers

PMID35116707
PMCPMC8798028
OpenAlexW3198223848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.