Evidence map›Paper›PMID 41256755›Full record

ArticleJournal of clinical practice and research2023

Lymph Node Staging by CT Texture Analysis in Patients with Sigmoid Cancer.

Mustafa Yıldırım, Murat Baykara

Abstract read
In one paragraph

Article in Journal of clinical practice and research, 2023. 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.

  1. Review
  2. 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

2 authors.

Mustafa YıldırımDepartment of Radiology, Fırat University Faculty of Medicine, Elazığ, Türkiye.
Murat BaykaraDepartment of Radiology, Fırat University Faculty of Medicine, Elazığ, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Accurate radiological staging of colon cancer is essential for appropriately selecting patients who might benefit from neoadjuvant chemotherapy. Lymph node staging and the detection of metastatic lymph nodes form an integral part of the local staging. This study aimed to determine the efficacy of computed tomography texture analysis (CTTA) in characterizing lymph nodes in patients with sigmoid cancers. Materials and Methods: Forty-five patients diagnosed with sigmoid adenocarcinoma, who underwent computed tomography (CT) scans, were included in this retrospective study. Based on post-surgery histopathological results, 25 patients were classified as stage N1-2, and 20 patients were classified as stage N0. CTTA was conducted on 51 metastatic lymph nodes from the 25 N1-2 patients and 30 benign lymph nodes from the 20 N0 patients. Histogram analysis was employed to calculate texture features, and the texture features of both groups were statistically compared. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive performance of the parameters. Results: The maximum of the histogram, 99 Conclusion: In patients with sigmoid cancer, CTTA can serve as a useful tool for lymph node staging.

Indexed as

CTlymph nodeSigmoid cancerstagingtexture analysis

Identifiers

PMID41256755
PMCPMC12478781

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.