Evidence map›Paper›PMID 38855505›Full record

ArticleOncology letters2024

Clinical‑imaging‑radiomic nomogram based on unenhanced CT effectively predicts adrenal metastases in patients with lung cancer with small hyperattenuating adrenal incidentalomas.

Lixiu Cao, Haoxuan Yang, Deshun Yao, Haifeng Cai, Huijing Wu, Yixing Yu, Lei Zhu, Wengui Xu, Yongliang Liu, Jingwu Li

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In one paragraph

Article in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. An interpretableFrontiers in oncology · 2025
    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

10 authors.

Lixiu CaoDepartment of Nuclear Medical Imaging, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China.
Haoxuan YangDepartment of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050010, P.R. China.
Deshun YaoDepartment of Oncology Surgery, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China.
Haifeng CaiDepartment of Oncology Surgery, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China.
Huijing WuDepartment of Nuclear Medical Imaging, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China.
Yixing YuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Lei ZhuDepartment of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, P.R. China.
Wengui XuDepartment of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, P.R. China.
Yongliang LiuDepartment of Neurosurgery, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China.
Jingwu LiDepartment of Tumor Surgery, Tangshan People's Hospital, Tangshan, Hebei 063000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to develop and evaluate a clinical-imaging-radiomic nomogram based on pre-enhanced computed tomography (CT) for pre-operative differentiation lipid-poor adenomas (LPAs) from metastases in patients with lung cancer with small hyperattenuating adrenal incidentalomas (AIs). A total of 196 consecutive patients with lung cancer, who underwent initial chest or abdominal pre-enhanced CT scan with small hyperattenuating AIs, were included. The patients were randomly divided into a training cohort with 71 cases of LPAs and 66 cases of metastases, and a testing cohort with 31 cases of LPAs and 28 cases of metastases. Plain CT radiological and clinical features were evaluated, including sex, age, size, pre-enhanced CT value (CT

Indexed as

AILPAmetastasesradiomic nomogramRadscoreunenhanced CT

Identifiers

PMID38855505
PMCPMC11157660

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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.