Zhonghua yi xue za zhi
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Zhonghua yi xue za zhi · Dec 2020
[The characteristics and citation analysis of the publications in National Medical Journal of China during 2016].
Objective: To analyze the characteristics and citations of articles in National Medical Journal of China (NMJC) during 2016, and to discuss the academic level and quality of the journal. Methods: All the literature published in NMJC during 2016 were retrieved through the Chinese Medical Citation index, and the citation frequency data in China's core journals of science and technology from January 2017 to December 2018 was obtained through Institute of Scientific and Technical Information of China. The citation status of articles published in NMJC was statistically analyzed by the method of literature metrology. ⋯ From 2017 to 2018, papers published in NMJC were cited 2 077 times by a total of 490 journals. Conclusions: The guidelines published in NMJC is highly cited. The editorial department should adjust the column setting timely, strengthen the planning of key topic selection and the solicitation and publicity of excellent papers, and further improve the influence of the magazine.
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Zhonghua yi xue za zhi · Dec 2020
[The value of conventional magnetic resonance imaging based radiomic model in predicting the texture of pituitary macroadenoma].
Objective: To investigate the value of conventional magnetic resonance imaging (MRI) based radiomic model in predicting the texture of pituitary macroadenoma. Methods: The complete data of 101 patients with pituitary macroadenoma confirmed by surgery and pathology in Yijishan Hospital of Wannan Medical College from December 2014 to December 2019 were retrospectively analyzed. According to the texture of the intraoperative pituitary tumor, patients were divided into soft group (n=58) and hard group (n=43). ⋯ Results: The AUC (Area Under the ROC Curve) (95%CI) values of T1WI, T2WI, enhanced T1WI, and the combined sequence model to predict the texture of pituitary macroadenomas in the training and validation groups were 0.91 (0.84-0.98) and 0.90 (0.78-1.00), 0.86 (0.78-0.95) and 0.83 (0.64-1.00), 0.90 (0.83-0.97) and 0.89 (0.77-1.00),0.92 (0.85-0.98) and 0.91 (0.79-1.00), respectively. DCA demonstrated that T(1)WI, T(2)WI, enhanced T(1)WI, and combined sequence model all had good net benefits in clinical practice. Conclusions: T(1)WI, T(2)WI, enhanced T(1)WI, and combined sequence model of conventional MRI all had high efficacy in predicting the texture of pituitary macroadenoma, which provided a new quantitative method for predicting the texture of pituitary macroadenoma.