Evidence map›Paper›PMID 40309472›Full record

ArticleWorld journal of radiology2025

Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer.

Yi-Fan Lai, Zhao-Ming Liang, Jing-Fang Li, Jia-Ying Zhang, Ding-Hua Xu, Hai-Yang Dai

Abstract read
In one paragraph

Article in World journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Yi-Fan LaiThe First Clinical College, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China.
Zhao-Ming LiangThe First Clinical College, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China.
Jing-Fang LiDepartment of Radiology, Huizhou Central People's Hospital, Huizhou 516001, Guangdong Province, China.
Jia-Ying ZhangThe First Clinical College, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China.
Ding-Hua XuThe First Clinical College, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China.
Hai-Yang DaiThe First Clinical College, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor deposits (TDs) are an independent predictor of poor prognosis in colorectal cancer (CRC) patients. Enhanced follow-up and treatment monitoring for TD+ patients may improve survival rates and quality of life. However, the detection of TDs relies primarily on postoperative pathological examination, which may have a low detection rate due to sampling limitations.

aimTo evaluate the spectral computed tomography (CT) parameters of primary tumors and the largest regional lymph nodes (LNs), to determine their value in predicting TDs in CRC.

methodsA retrospective analysis was conducted which included 121 patients with CRC whose complete spectral CT data were available. Patients were divided into the TDs+ group and the TDs- group on the basis of their pathological results. Spectral CT parameters of the primary CRC lesion and the largest regional LNs were measured, including the normalized iodine concentration (NIC) in both the arterial and venous phases, and the LN-to-primary tumor ratio was calculated. Statistical methods were used to evaluate the diagnostic efficacy of each spectral parameter.

resultsAmong the 121 CRC patients, 33 (27.2%) were confirmed to be TDs+. The risk of TDs positivity was greater in patients with positive LN metastasis, higher N stage and elevated carcinoembryonic antigen and cancer antigen 19-9 levels. The NIC (LNs in both the arterial and venous phases), NIC (primary tumors in the venous phase), and the LN-to-primary tumor ratio in both the arterial and venous phases were associated with TDs (

conclusionThe spectral CT parameters of the primary colorectal tumor and the largest regional LNs, especially the LN-to-primary tumor ratio, have significant clinical value in predicting TDs in CRC.

Indexed as

Colorectal cancerPredicting effectivenessSpectral computed tomographyTumor deposits

Identifiers

PMID40309472
PMCPMC12038403

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.