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Cancer Immunotherapy and Medical Imaging Research Trends from 2003 to 2023: A Bibliometric Analysis.

作者信息

Tang Shuli, Fan Tiantian, Wang Xinxin, Yu Can, Zhang Chunhui, Zhou Yang

机构信息

Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People's Republic of China.

Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People's Republic of China.

出版信息

J Multidiscip Healthc. 2024 May 6;17:2105-2120. doi: 10.2147/JMDH.S457367. eCollection 2024.


DOI:10.2147/JMDH.S457367
PMID:38736544
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11086400/
Abstract

PURPOSE: With the rapid development of immunotherapy, cancer treatment has entered a new phase. Medical imaging, as a primary diagnostic method, is closely related to cancer immunotherapy. However, until now, there has been no systematic bibliometric analysis of the state of this field. Therefore, the main purpose of this article is to clarify the past research trajectory, summarize current research hotspots, reveal dynamic scientific developments, and explore future research directions. PATIENTS AND METHODS: A comprehensive search was conducted on the Web of Science Core Collection (WoSCC) database to identify publications related to immunotherapy specifically for the medical imaging of carcinoma. The search spanned the period from the year 2003 to 2023. Several analytical tools were employed. These included CiteSpace (6.2.4), and the Microsoft Office Excel (2016). RESULTS: By searching the database, a total of 704 English articles published between 2003 and 2023 were obtained. We have observed a rapid increase in the number of publications since 2018. The two most active countries are the United States (n=265) and China (n=170). Pittock, Sean J and Abu-sbeih, Hamzah are very concerned about the relationship between cancer immunotherapy and medical images and have published more academic papers (n = 5; n = 4). Among the top 10 co-cited authors, Topalian Sl (n=43) cited ranked first, followed by Graus F (n=40) cited. According to clustering, timeline, and burst word analysis, the results show that the current research focus is on "MRI", "deep learning", "tumor microenvironment" and so on. CONCLUSION: Medical imaging and cancer immunotherapy are hot topics. The United States is the country with the most publications and the greatest influence in this field, followed by China. "MRI", "PET/PET-CT", "deep learning", "immune-related adverse events" and "tumor microenvironment" are currently hot research topics and potential targets.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/3bc1841e5232/JMDH-17-2105-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/002678793bb6/JMDH-17-2105-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/547dce84edc1/JMDH-17-2105-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/c91182dc47c1/JMDH-17-2105-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/913de2930ddc/JMDH-17-2105-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/f003f017f8de/JMDH-17-2105-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/e38ba66375fe/JMDH-17-2105-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/4ad95d2f05d9/JMDH-17-2105-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/3bc1841e5232/JMDH-17-2105-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/002678793bb6/JMDH-17-2105-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/547dce84edc1/JMDH-17-2105-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/c91182dc47c1/JMDH-17-2105-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/913de2930ddc/JMDH-17-2105-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/f003f017f8de/JMDH-17-2105-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/e38ba66375fe/JMDH-17-2105-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/4ad95d2f05d9/JMDH-17-2105-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a5f/11086400/3bc1841e5232/JMDH-17-2105-g0008.jpg

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引用本文的文献

[1]
Community Integration of Disability: A Bibliometric and Knowledge-Map Analysis.

J Multidiscip Healthc. 2025-1-22

本文引用的文献

[1]
Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer.

J Clin Invest. 2024-1-25

[2]
Pseudoprogression of thoracic tumor after radiotherapy in the era of immunotherapy: a case series.

Front Oncol. 2023-7-28

[3]
Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics.

Cell Rep Med. 2023-8-15

[4]
Current hotspot and study trend of innate immunity in COVID-19: a bibliometric analysis from 2020 to 2022.

Front Immunol. 2023

[5]
Radiomics models based on multisequence MRI for predicting PD-1/PD-L1 expression in hepatocellular carcinoma.

Sci Rep. 2023-5-12

[6]
Knowledge mapping and research trends of IL-33 from 2004 to 2022: a bibliometric analysis.

Front Immunol. 2023

[7]
Metabolic Tumor Volume Measured by F-FDG PET/CT is Associated with the Survival of Unresectable Hepatocellular Carcinoma Treated with PD-1/PD-L1 Inhibitors Plus Molecular Targeted Agents.

J Hepatocell Carcinoma. 2023-4-8

[8]
Knowledge mapping of autophagy in osteoarthritis from 2004 to 2022: A bibliometric analysis.

Front Immunol. 2023

[9]
Imaging assessment of toxicity related to immune checkpoint inhibitors.

Front Immunol. 2023

[10]
Knowledge mapping of image-guided tumor ablation and immunity: A bibliometric analysis.

Front Immunol. 2023

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