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Your search keyword '"Zhong, L.-Z."' showing total 3 results
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3 results on '"Zhong, L.-Z."'

2. Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

Author

Zaiyi Liu, W.-C. Li, Lei Tang, Mengjie Fang, R.-P. Wang, Xiaoxiao Wang, Xiuhong Shan, Francesco Giganti, X. Chen, Diego Palumbo, Jing Li, Lianzhen Zhong, Jiafu Ji, F. De Cobelli, Jie Tian, Jia Fu, Jianbo Gao, Di Dong, Dong, D., Fang, M. -J., Tang, L., Shan, X. -H., Gao, J. -B., Giganti, F., Wang, R. -P., Chen, X., Wang, X. -X., Palumbo, D., Fu, J., Li, W. -C., Li, J., Zhong, L. -Z., De Cobelli, F., Ji, J. -F., Liu, Z. -Y., and Tian, J.

Subjects
0301 basic medicine, China, medicine.medical_specialty, Locally advanced, Lymph node metastasis, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Stomach Neoplasms, medicine, radiomic nomogram, Humans, Survival analysis, lymph node metastasis, business.industry, locally advanced gastric cancer, deep learning, Cancer, Hematology, Nomogram, medicine.disease, Confidence interval, Nomograms, 030104 developmental biology, Italy, Oncology, Multicenter study, Lymphatic Metastasis, 030220 oncology & carcinogenesis, Cohort, Radiology, business
Abstract

Background: Preoperative evaluation of the number of lymph node metastasis (LNM) is the basis of individual treatment of locally advanced gastric cancer (LAGC). However, the routinely used preoperative determination method is not accurate enough. Patients and methods: We enrolled 730 LAGC patients from five centers in China and one center in Italy, and divided them into one primary cohort, three external validation cohorts, and one international validation cohort. A deep learning radiomic nomogram (DLRN) was built based on the images from multiphase computed tomography (CT) for preoperatively determining the number of LNM in LAGC. We comprehensively tested the DLRN and compared it with three state-of-the-art methods. Moreover, we investigated the value of the DLRN in survival analysis. Results: The DLRN showed good discrimination of the number of LNM on all cohorts [overall C-indexes (95% confidence interval): 0.821 (0.785–0.858) in the primary cohort, 0.797 (0.771–0.823) in the external validation cohorts, and 0.822 (0.756–0.887) in the international validation cohort]. The nomogram performed significantly better than the routinely used clinical N stages, tumor size, and clinical model (P < 0.05). Besides, DLRN was significantly associated with the overall survival of LAGC patients (n = 271). Conclusion: A deep learning-based radiomic nomogram had good predictive value for LNM in LAGC. In staging-oriented treatment of gastric cancer, this preoperative nomogram could provide baseline information for individual treatment of LAGC.

Published
2020

3. [Study of risk factors of postherpetic neuralgia].

Author

Hu J, Zhong LZ, Li TT, Jia QY, and Li HM

Subjects
Humans, Male, Middle Aged, Female, Herpesvirus 3, Human, Risk Factors, Neuralgia, Postherpetic complications, Herpes Zoster complications, Hypertension complications, Arthritis, Rheumatoid complications
Abstract

Objective: To analyze the clinical features and risk factors of herpes zoster and the risk factors of postherpetic neuralgia (PHN). Methods: A total of 2 840 patients diagnosed with herpes zoster in Peking University People's Hospital from January 2021 to April 2022 were included. The patients with herpes zoster were aged (59±16), and of which 1 314 (46.3%) patients were male. The patients were divided into PHN group and non-PHN group according to whether the patients with herpes zoster developed PHN. And there were 442 (15.6%) patients developed PHN aged (68±12), and of which 189 (42.8%) were male. The information and medical history of PHN group and non-PHN group were collected. The information of the use of glucocorticoids, immunosuppressive agents, biological agents and targeted medicine within 2 months before herpes zoster occurred, history of surgery within 6 months before herpes zoster occurred, and the duration of PHN were collected. Logistic regression analysis was used to analyze the risk factors of PHN. Results: Out of 2 840 patients, 2 056 (72.4%) with herpes zoster aged 50 years and above. Intercostal nerves was mostly involved in patients with herpes zoster, with a total of 1 532(53.9%). Hypertension (465 cases, 16.4%) accounted for the highest number of patients with chronic diseases, followed by diabetes (337 cases, 11.9%) and coronary heart disease (283 cases, 10.0%). Rheumatoid arthritis (41 cases, 1.4%) accounted for the highest number of patients with connective tissue diseases, followed by Sjogren's syndrome (31 cases, 1.1%), systemic lupus erythematosus (28 cases, 1.0%). Logistic regression analysis showed that age≥50 years old ( OR : 4.581; 95% CI : 3.131-6.705),lesion on the upper limb and shoulder ( OR : 1.858; 95% CI : 1.129-3.059), hypertension ( OR : 1.963; 95% CI : 1.513-2.546) and immunosuppressive treatments ( OR : 2.170; 95% CI : 1.254-3.753) were independent risk factors for PHN (all P <0.05). Conclusions: Herpes zoster mostly occurs in people aged 50 and above, and mainly affected intercostal nerves. The most common complications are hypertension and rheumatoid arthritis. Age≥50, lesion on upper limbs and shoulders, hypertension, and immunosuppressive treatments may be independent risk factors of PHN.

Published
2022
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