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Objective:To analyze the related literature of pulmonary rehabilitation research at home and abroad, understand its research focus and development trend, and provide a reference and basis for future pulmonary rehabilitation research.Methods:Literature related to pulmonary rehabilitation published in the database of Web of Science and China National Knowledge Infrastructure from January 2015 to February 2022 was retrieved, and the contents such as the number of articles published annually, authors, research institutions, and high-frequency keywords were visually analyzed by bibliometrics and CiteSpace software.Results:The number of articles published each year showed an obvious upward trend from 2015, and the number of Chinese documents was higher than that of English documents from 2019 to 2020. MARTIJN A SPRUIT was the author with the largest number of articles published in English, with a total of 65 articles published, with close cooperation among scholars. Che Guowei was the author with the largest number of articles published in Chinese literature, with 13 articles published in total. The cooperation among the authors was relatively lacking and scattered. The main research institutions abroad were universities, and the institution with the highest number of papers was Maastricht University in the Netherlands, with a total of 85 articles. The research institutions cooperated closely and formed a cooperation network. Hospitals were the main research institutions in China, and the thoracic surgery Department of West China Hospital of Sichuan University had the highest total number of publications, with 14 articles. The cooperation among institutions was not close, and there was a lack of cooperation with universities and scientific research institutions. Through keyword co-occurrence and clustering and timeline view analysis, it was concluded that the research hotspots in this field were pulmonary rehabilitation of patients with different chronic respiratory diseases, the influence of pulmonary rehabilitation on lung function and quality of life of patients with chronic obstructive pulmonary disease, and the intervention methods of pulmonary rehabilitation. The future trend was predicted as the clinical application value of pulmonary rehabilitation in the treatment of lung cancer.Conclusions:At present, pulmonary rehabilitation research is in a stable development period. However, the cooperation between domestic authors and institutions is not close enough compared with foreign countries. In the future, China should strengthen the communication and cooperation between research teams, and learn from foreign research results to further develop the application of pulmonary rehabilitation in lung cancer patients, to promote the development of pulmonary rehabilitation research in China.
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BACKGROUND AND PURPOSE: We used radiomic analysis to establish a radiomic signature based on anatomical magnetic resonance imaging (MRI) sequences and explore its effectiveness as a novel prognostic biomarker for skull base chordoma (SBC). MATERIALS AND METHODS: In this retrospective study, radiomic analysis was performed using preoperative axial T1 FLAIR, T2-weighted, and enhanced T1 FLAIR from a single hospital. The primary clinical endpoint was progression-free survival. A total of 1860 3-D radiomic features were extracted from manually segmented region of interest. Pearson correlation coefficient was used for feature dimensional reduction and a ridge regression-based Cox proportional hazards model was used to determine a radiomic signature. Afterwards, radiomic signature and nine other potential prognostic factors, including age, gender, histological subtype, dural invasion, blood supply, adjuvant radiotherapy, extent of resection, preoperative KPS, and postoperative KPS were analyzed to build a radiomic nomogram and a clinical model. Finally, we compared the nomogram with each prognostic factor/model by DeLong's test. RESULTS: A total of 148 SBC patients were enrolled, including 64 with disease progression. The median follow-up time was 52â¯months (range 4-122â¯months). The Harrell's concordance index of the radiomic signature was 0.745 (95% CI, 0.709-0.781) for the validation cohort, and its discrimination accuracy in predicting progression risk at 5â¯years in the same cohort was 82.4% (95% CI, 72.6-89.7%). CONCLUSIONS: The radiomics is a low-cost, non-invasive method to predict SBC prognosis preoperatively. Radiomic signature is a potential prognostic biomarker that may allow the individualized evaluation of patients with SBC.
