Evidence map›Paper›PMID 39537895›Full record

ArticleEJNMMI research2024

Distinguishing lymphoma from benign lymph node diseases in fever of unknown origin using PET/CT radiomics.

Xinchao Zhang, Fenglian Jing, Yujing Hu, Congna Tian, Jianyang Zhang, Shuheng Li, Qiang Wei, Kang Li, Lu Zheng, Jiale Liu and 2 more

Abstract read
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers 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

12 authors.

Xinchao Zhang *Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
Fenglian Jing *Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
Yujing HuDepartment of Nuclear Medicine, Hebei General Hospital, No. 348, West Heping Road, Shijiazhuang, 050051, Hebei, China.
Congna TianHebei Medical University, Shijiazhuang, 050017, Hebei, China.
Jianyang ZhangHebei Medical University, Shijiazhuang, 050017, Hebei, China.
Shuheng LiHebei Medical University, Shijiazhuang, 050017, Hebei, China.
Qiang WeiDepartment of Nuclear Medicine, Hebei General Hospital, No. 348, West Heping Road, Shijiazhuang, 050051, Hebei, China.
Kang LiDepartment of Nuclear Medicine, Hebei General Hospital, No. 348, West Heping Road, Shijiazhuang, 050051, Hebei, China.
Lu ZhengDepartment of Nuclear Medicine, Hebei General Hospital, No. 348, West Heping Road, Shijiazhuang, 050051, Hebei, China.
Jiale LiuHebei Medical University, Shijiazhuang, 050017, Hebei, China.
Jingjie ZhangDepartment of Nuclear Medicine, Hebei General Hospital, No. 348, West Heping Road, Shijiazhuang, 050051, Hebei, China.
Yanzhu BianHebei Medical University, Shijiazhuang, 050017, Hebei, China. heyixue8144@126.com.ORCID http://orcid.org/0000-0002-5616-7059

Funding

Key Science and Technology Research Program of the Health Commission of Hebei Province 20200016Key Science and Technology Research Program of the Health Commission of Hebei Province 20241560National Natural Science Foundation of China 82302252Natural Science Foundation of Hebei Province H2022307068
6 · The paper itself

Abstract

backgroundA considerable portion of patients with fever of unknown origin (FUO) present concomitant lymphadenopathy. Diseases within the spectrum of FUO accompanied by lymphadenopathy include lymphoma, infections, and rheumatic diseases. Particularly, lymphoma has emerged as the most prevalent etiology of FUO with associated lymphadenopathy. Distinguishing between benign and malignant lymph node lesions is a major challenge for physicians and an urgent clinical concern for patients. However, conventional imaging techniques, including PET/CT, often have difficulty accurately distinguishing between malignant and benign lymph node lesions. This study utilizes PET/CT radiomics to differentiate between lymphoma and benign lymph node lesions in patients with FUO, aiming to improve diagnostic accuracy.

resultsData were collected from 204 patients who underwent

conclusionsPET/CT radiomics demonstrated promising performance in discriminating lymphoma from benign lymph node lesions in patients with FUO, with the RF model showing the best performance.

Indexed as

18F-FDG PET/CTFever of unknown originLymph node diseasesLymphomaRadiomics

Identifiers

PMID39537895
PMCPMC11561199

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.