Evidence map›Paper›PMID 40242241›Full record

ArticleFrontiers in oncology2025

Clinical value and survival analysis of subcutaneous soft tissue metastasis detected by

Yufei Gao, Hui Zhang, Tiancheng Hao, Lizhuo Jia, Jiangmeng Wu, Dongxue Wu, Siqi Wu, Yong Wang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Yufei GaoDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Hui ZhangDepartment of Medical Imaging, Hebei General Hospital, Shijiazhuang, Hebei, China.
Tiancheng HaoDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Lizhuo JiaDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Jiangmeng WuDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Dongxue WuDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Siqi WuDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Yong WangDepartment of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To retrospectively analyze cases of whole-body Method: An analysis was conducted on cases from August 2019 to August 2024, and 57 cases of subcutaneous nodules were found to have positive 18F-FDG imaging, all of which underwent pathological puncture or biopsy. Collect patient histological subtypes, metastasis patterns, treatment, and survival rates. Kaplan Meier curves were used to estimate survival time, and Mantel-Cox univariate analysis was used to determine the correlation between extensive metastasis, degree of soft tissue involvement, systemic and local treatment, and survival time. Result: Among the 57 patients confirmed by pathology, 10 were benign and 47 were malignant. Among 47 cases of malignant tumors, 39 cases were postoperative cases, 8 cases were preoperative cases, and 4 cases had unknown primary lesions. A total of 88 subcutaneous lesions were found, including 28 patients with a single lesion, 12 patients with two lesions, and 8 patients with three or more lesions. One patient with unknown primary lesion reported abdominal wall nodules as the main symptom. PET/CT assisted in qualitative localization in 11 cases. Univariate analysis showed that the median survival time (22 months) of patients who did not receive local radiotherapy was significantly shorter than that of patients who did receive local radiotherapy (60 months) (P<0.05). There is no correlation between gender, metastasis pattern, metastasis at initial diagnosis, use of chemotherapy, and survival time. Conclusion: Whole body PET/CT imaging has important application value in the diagnosis of subcutaneous soft tissue metastasis. By comprehensively evaluating the patient's overall condition and accurately determining whether there is a simple soft tissue metastasis, local intervention measures can bring more favorable prognosis for patients with good general condition and only soft tissue metastasis.

Indexed as

malignant tumorPET/CTsubcutaneous soft tissuesurvival analysistransfer

Identifiers

PMID40242241
PMCPMC11999822

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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.