Evidence map›Paper›PMID 37314470›Full record

ArticleEuropean radiology2023

Quantitative parameters derived from dual-energy computed tomography for the preoperative prediction of early recurrence in patients with esophageal squamous cell carcinoma.

Yan Liu, Fanrong Cheng, Lei Wang, Lihong Du, Hesong Shen, Xiaoxia Wang, Zhen Zeng, Daihong Liu, Junli Tao, Jiaxing Wu and 1 more

Abstract read
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In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 13 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

11 authors at 2 institutions in 1 country.

Yan LiuDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Fanrong ChengDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Lei WangDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Lihong DuDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Hesong ShenDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Xiaoxia WangDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Zhen ZengDepartment of Pathology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Daihong LiuDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Junli TaoDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
Jiaxing WuSiemens Healthineers, Shanghai, 200126, People's Republic of China.
Jiuquan ZhangDepartment of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China. zhangjq_radiol@foxmail.com.ORCID http://orcid.org/0000-0003-0239-6988
Chongqing University · CNSiemens (China) · CN

Funding

2021 SKY Imaging Research Fund of the Chinese International Medical Foundation Z-2014-07-2101Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission cstc2021jcyj-msxmX0387Science-Health Joint Medical Scientific Research Project of Chongqing 2022WSJK027
6 · The paper itself

Abstract

objectivesThis study aimed to assess the efficacy of quantitative parameters derived from dual-energy computed tomography (DECT) for the preoperative prediction of early recurrence (ER) in patients with esophageal squamous cell carcinoma (ESCC).

methodsIn total, 78 patients with ESCC who underwent radical esophagectomy and DECT from June 2019 to August 2020 were enrolled in this study. Normalized iodine concentration (NIC) and electron density (Rho) in tumors were measured using arterial and venous phase images, whereas unenhanced images were used to determine the effective atomic number (Z

resultsNIC in the arterial phase (A-NIC; hazards ratio [HR], 3.91; 95% confidence interval [CI], 1.79-8.56; p = 0.001) and pathological grade (PG; HR, 2.69; 95% CI, 1.32-5.49; p = 0.007) were identified as significant risk predictors of ER. The area under the curve of A-NIC for predicting ER in patients with ESCC was not significantly higher than that of PG (0.72 vs. 0.66, p = 0.441). In a stratified survival analysis, patients with high A-NIC or poorly differentiated ESCC had a higher rate of ER than those with low A-NIC or highly/moderately differentiated ESCC.

conclusionsA-NIC derived from DECT can be used to noninvasively predict preoperative ER in patients with ESCC, with an efficacy comparable to that of pathological grade. CLINICAL RELEVANCE STATEMENT: Preoperative quantitative measurement of dual-energy CT parameters can predict the early recurrence of esophageal squamous cell carcinoma and serve as an independent prognostic factor to guide clinical designation of personalized treatment. KEY POINTS: • Normalized iodine concentration in the arterial phase and pathological grade were independent risk predictors of early recurrence in patients with esophageal squamous cell carcinoma. • Normalized iodine concentration in the arterial phase may be a noninvasive imaging marker for preoperatively predicting early recurrence in patients with esophageal squamous cell carcinoma. • The efficacy of normalized iodine concentration in the arterial phase derived from dual-energy computed tomography for predicting early recurrence is comparable to that of pathological grade.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaIodineHumansRetrospective StudiesROC CurveTomographyIodineEsophageal neoplasmsEsophagectomyMultidetector computed tomographyRecurrence

Identifiers

PMID37314470
OpenAlexW4380576307

What OpenQuestion holds

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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.