Evidence map›Paper›PMID 41013373›Full record

ArticleBMC medical imaging2025

Nomogram for predicting tumor-stroma ratio in pancreatic ductal adenocarcinoma using dual-energy computed tomography.

Weiyue Chen, Guihan Lin, Weibo Mao, Jingjing Cao, Shuiwei Xia, Min Xu, Chenying Lu, Minjiang Chen, Jiansong Ji

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Weiyue Chen *Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China.
Guihan Lin *Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China.
Weibo MaoDepartment of Pathology, Lishui Central Hospital, Lishui, 323000, China.
Jingjing CaoDepartment of Pathology, Lishui Central Hospital, Lishui, 323000, China.
Shuiwei XiaZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China.
Min XuZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China.
Chenying LuZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China.
Minjiang ChenZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China. minjiangchen@wmu.edu.cn.
Jiansong JiZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China. jjstcty@wmu.edu.cn.

Funding

Key Project of Joint Construction by Provincial and Ministerial Authorities WKJ-ZJ-2452Public Welfare Project of Lishui City 2024GYX45, 2024GYX51Zhejiang Medicine and Health science and Technology Project 2025KY493, 2025KY1923, 2024KY563, 2025KY1964
6 · The paper itself

Abstract

backgroundThis study aimed to develop and validate a nomogram to predict both the tumor-stroma ratio (TSR) and the overall survival (OS) of patients with pancreatic ductal adenocarcinoma (PDAC) using preoperative dual-energy computed tomography (DECT) parameters.

methods153 patients with histopathologically confirmed PDAC who underwent preoperative DECT scans were retrospectively reviewed and divided into high- and low-TSR groups based on histological analyses of surgical specimens. Several DECT parameters of the primary tumor were measured, including the normalized iodine concentration (NIC), effective atomic number, slope of the energy spectrum attenuation curve (K), CT values (40-100 keV), and extracellular volume fraction (ECVf), and analyzed alongside clinical and radiological data. Univariate and multivariate logistic regression models were used to identify independent predictors, which were then incorporated into radiology, DECT, and nomogram models. The association of the nomograms with OS was assessed using Kaplan-Meier curves and Cox regression analysis.

resultsCT-reported lymph node status, NIC

conclusionThe DECT-based nomogram model provides a noninvasive and accurate preoperative prediction of the TSR and prognosis of patients with PDAC and may assist in individualized risk stratification and treatment planning.

Indexed as

Carcinoma, Pancreatic DuctalNomogramsPancreatic NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesDual-energy computed tomographyNomogramPancreatic ductal adenocarcinomaSurvivalTumor-stroma ratio

Identifiers

PMID41013373
PMCPMC12465538

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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.