Evidence map›Paper›PMID 40762689›Full record

ArticleAbdominal radiology (New York)2026

Application of histogram analysis based on DCE-MRI in predicting metachronous liver metastasis and metastasis-free survival in rectal cancer.

Ke-Xin Wang, Jing Yu, Qing Xu, Fei-Yun Wu

Abstract read
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In one paragraph

Article in Abdominal radiology (New York), 2026. 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

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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.

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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

4 authors.

Ke-Xin Wang *Department of Radiology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Rd, 210029, Nanjing, China.
Jing Yu *Department of Radiology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Rd, 210029, Nanjing, China.
Qing XuDepartment of Radiology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Rd, 210029, Nanjing, China.
Fei-Yun WuDepartment of Radiology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Rd, 210029, Nanjing, China. wfy__njmu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to construct histogram analysis (HA) based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) from primary tumor and mesorectum for early post-treatment risk stratification of metachronous liver metastasis (MLM) and prediction of metastasis-free survival (MFS) in rectal cancer.

methodsThis retrospective study included preoperative images and clinical data of 251 patients between March 2019 and August 2023. Image segmentation was performed by manually delineating the primary tumor and mesorectum. The mean values of DCE-MRI perfusion parameters (K

resultsThe K

conclusionsThe nomogram of combined model incorporating HA features, clinicopathologic characteristics, and radiological features was promising for early post-treatment risk stratification of MLM and prediction of the MFS in rectal cancer. HA features from the tumor and mesorectum could supply incremental value to guide postoperative individual follow-up plans.

Indexed as

Liver NeoplasmsMagnetic Resonance ImagingRectal NeoplasmsAdultAgedContrast MediaDisease-Free SurvivalDynamic Contrast Enhanced Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedNomogramsPredictive Value of TestsRetrospective StudiesContrast MediaHistogram analysisMagnetic resonance imagingMetachronous liver metastasisMetastasis-free survivalRectal cancer

Identifiers

PMID40762689

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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.