Evidence map›Paper›PMID 39375779›Full record

ArticleRadiation oncology (London, England)2024

Regularity and correlation analysis of regional lymph node metastasis in nonoperative patients with non-small cell lung cancer based on positron emission tomography/computed tomography images.

Feifan Sun, Zhiming Chen, Daijun Zhou, Zhihui Li, Haoyang Wang, Rong Zhao, Jing Xian, Jingjing Peng, Xingchen Peng, Chaoyang Jiang and 2 more

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2024. 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

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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. Article
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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

12 authors.

Feifan Sun *Department of Oncology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, 610083, PR China.
Zhiming Chen *Department of Nuclear Medicine, The General Hospital of Western Theater Command, Chengdu, PR China.
Daijun Zhou *Department of Oncology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, 610083, PR China.
Zhihui Li *Department of Oncology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, 610083, PR China.
Haoyang WangDepartment of Nuclear Medicine, The General Hospital of Western Theater Command, Chengdu, PR China.
Rong ZhaoDepartment of Nuclear Medicine, The General Hospital of Western Theater Command, Chengdu, PR China.
Jing XianDepartment of Oncology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, 610083, PR China.
Jingjing PengDepartment of Oncology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, 610083, PR China.
Xingchen PengDepartment of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, PR China. pxx2014@163.com.
Chaoyang JiangDepartment of Oncology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, 610083, PR China. bvsid125@163.com.
Mei ShiState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi Province, 710000, PR China. mshi82@foxmail.com.
Dong LiDepartment of Oncology, The General Hospital of Western Theater Command, Chengdu, Sichuan Province, 610083, PR China. 13438078785@163.com.

Funding

Talent incubation project of General Hospital of Western Theater Command of PLA 2021-XZYG-C49
6 · The paper itself

Abstract

backgroundDefinitive concurrent chemoradiotherapy (CCRT) is the standard treatment for locally advanced, inoperable non-small cell lung cancer (NSCLC). Previous studies have mainly focused on examining local failure and recurrence patterns after surgery and the principles of lymph node metastasis (LNM) in surgical candidates with NSCLC. However, these studies were just only able to guide postoperative radiotherapy (PORT) and the patterns of LNM in patients with resected NSCLC was inadequate to represent that in locally advanced inoperable NSCLC patients for guiding target volume delineation of CCRT. In this study, we aimed to analyze the metastasis regularities and establish the correlations between different lymph node levels in NSCLC patients without any intervention using positron emission tomography/computed tomography (PET/CT) images.

methodsOverall, 358 patients with N1-N3 NSCLC admitted in our hospital between 2018 and 2022 were retrospectively analyzed. The diagnosis of metastatic lymph nodes was reviewed and determined using the European Organization for Research and Treatment of Cancer standard and the standardized value of the PET/CT examination. Univariate and multivariate analysis were performed to investigate the correlations between the different levels were evaluated by using of the chi-square test and logistic regression model.

resultsThe lymph nodes with the highest metastasis rates in patients with left lung cancer were in order as follows: 10L, 4L, 5, 4R, and 7; while in those with right lung cancer they were 10R, 4R, 7, 2R, and 1R. Notably, we found left lung patients were more likely to have contralateral hilar, mediastinal and supraclavicular lymph nodes involved, and the right lung group exhibited a higher propensity for ipsilateral mediastinum and supraclavicular lymph node invasion. Furthermore, correlation analysis revealed there were significant correlative patterns in the LNM across different levels.

conclusionsThis study elucidated the patterns of primary LNM in patients with NSCLC who had not undergone surgery (without any treatment interventions) and the correlations between lymph node levels. These findings were expected to provide useful reference for target volume delineation in definitive concurrent chemoradiotherapy in locally advanced NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsLymphatic MetastasisPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overChemoradiotherapyFemaleHumansLymph NodesMaleMiddle AgedPrognosisRetrospective StudiesCorrelationLymph node metastasisNon-small cell lung cancerPET/CTPrimitive regularity

Identifiers

PMID39375779
PMCPMC11457444

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LicenceCC BY-NC-ND
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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.