Evidence mapPaperPMID 41219747Full record

ArticleBMC medical imaging2025

A nomogram based on dual-layer spectral detector CT-derived 40KeV virtual monoenergetic images for preoperative prediction of simultaneous distant metastasis in colorectal cancer.

Qi Sun, Xuelian Bian, Feiwen Feng, Shuangqing Chen, Guangqiang Chen

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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qi SunDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Xuelian BianDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Feiwen FengDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Shuangqing ChenDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China. sznaonao@163.com.
Guangqiang ChenDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China. cgq74158@163.com.

Funding

Suzhou Applied Basic Research (Medical and Health) Key Project of China No.SYW2024007
6 · The paper itself

Abstract

backgroundTo establish and validate a nomogram combining dual-layer spectral detector CT(DLSCT)-derived 40KeV virtual monoenergetic images (VMI) of radiomics features, spectral parameters and clinical features for preoperative prediction of simultaneous distant metastases (SDM) in colorectal cancer (CRC).

methodsWe retrospectively included 137 patients [SDM

resultsIn the training group, the nomogram (AUC = 0.938) was remarkably better than that of the radiomics models. In the external validation group, the nomogram (AUC = 0.930) was remarkably superior to that of the DP model and the clinical model. In the vast majority of threshold probabilities, the nomogram had a better critical net benefit than the other four models in predicting SDM of CRC.

conclusionsThe nomogram incorporating radiomics features of DLSCT-derived 40KeV-VMI, spectral parameters and clinical features showed excellent predictive performance in preoperatively predicting SDM in CRC, which can help clinicians make accurate individualized treatment plans.

Indexed as

Colorectal NeoplasmsNomogramsTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedNeoplasm MetastasisRetrospective StudiesColorectal cancerDual-layer spectral-detector CTRadiomicsSimultaneous distant metastasisVirtual monoenergetic image

Identifiers

PMID41219747
PMCPMC12607172

What Socratic holds

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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 Socratic graph.