1.Beta-carotene protects rats against bronchitis induced by cigarette smoking.
Baosen PANG ; Chen WANG ; Xinzhi WENG ; Xiaonai TANG ; Hongyu ZHANG ; Shujie NIU ; Yanling MAO ; Ping XIN ; Xiuxia HUANG ; Haiyan ZHANG ; Jin ZHU
Chinese Medical Journal 2003;116(4):514-516
OBJECTIVETo investigate the protective effects of beta-carotene in rats against the development of chronic bronchitis induced by cigarette smoking.
METHODSForty-two Male Wistar rats were randomly divided into three study groups: (1) control (n = 15), animals underwent no treatment; (2) cigarette smoking (n = 15), animals developed chronic bronchitis through long-term cigarette smoking twice a day for 75 d; (3) beta-carotene plus cigarette smoking animals (n = 12) were given 1 ml or 15 mg/kg beta-carotene orally every day just before cigarette smoking. The levels of IL-6, IL-8, NO, superoxide dismutase (SOD) and lipoperoxide (LPO) in serum, bronchoalveolar lavage fluid (BALF) and lung tissue were measured and the pathological changes to lung tissue were analyzed using light microscopy.
RESULTSLong-term cigarette smoking caused an obvious increase in the amount of IL-6, IL-8 and LPO and a sharp decrease in the levels of NO and SOD in smoking animals compared to controls. beta-carotene intake reversed all the changes induced by smoking and alleviated the pathological changes caused by chronic bronchitis.
CONCLUSIONSQuantitative oral intake of beta-carotene had protective effects against chronic bronchitis induced by long-term cigarette smoking, which was associated with the increased production of NO, the clearance of some oxidative free radicals (OFR) and the alleviation of chronic inflammation.
Animals ; Bronchitis ; blood ; etiology ; prevention & control ; Interleukin-6 ; blood ; Interleukin-8 ; blood ; Male ; Nitric Oxide ; blood ; Rats ; Rats, Wistar ; Smoking ; adverse effects ; Superoxide Dismutase ; blood ; beta Carotene ; pharmacology
2.Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter study.
Xinxin YU ; Bing KANG ; Pei NIE ; Yan DENG ; Zixin LIU ; Ning MAO ; Yahui AN ; Jingxu XU ; Chencui HUANG ; Yong HUANG ; Yonggao ZHANG ; Yang HOU ; Longjiang ZHANG ; Zhanguo SUN ; Baosen ZHU ; Rongchao SHI ; Shuai ZHANG ; Cong SUN ; Ximing WANG
Chinese Medical Journal 2023;136(10):1188-1197
BACKGROUND:
Pneumonia-like primary pulmonary lymphoma (PPL) was commonly misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this study was to establish a computed tomography (CT)-based radiomics model to differentiate pneumonia-like PPL from infectious pneumonia.
METHODS:
In this retrospective study, 79 patients with pneumonia-like PPL and 176 patients with infectious pneumonia from 12 medical centers were enrolled. Patients from center 1 to center 7 were assigned to the training or validation cohort, and the remaining patients from other centers were used as the external test cohort. Radiomics features were extracted from CT images. A three-step procedure was applied for radiomics feature selection and radiomics signature building, including the inter- and intra-class correlation coefficients (ICCs), a one-way analysis of variance (ANOVA), and least absolute shrinkage and selection operator (LASSO). Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical factor model. Two radiologists reviewed the CT images for the external test set. Performance of the radiomics model, clinical factor model, and each radiologist were assessed by receiver operating characteristic, and area under the curve (AUC) was compared.
RESULTS:
A total of 144 patients (44 with pneumonia-like PPL and 100 infectious pneumonia) were in the training cohort, 38 patients (12 with pneumonia-like PPL and 26 infectious pneumonia) were in the validation cohort, and 73 patients (23 with pneumonia-like PPL and 50 infectious pneumonia) were in the external test cohort. Twenty-three radiomics features were selected to build the radiomics model, which yielded AUCs of 0.95 (95% confidence interval [CI]: 0.94-0.99), 0.93 (95% CI: 0.85-0.98), and 0.94 (95% CI: 0.87-0.99) in the training, validation, and external test cohort, respectively. The AUCs for the two readers and clinical factor model were 0.74 (95% CI: 0.63-0.83), 0.72 (95% CI: 0.62-0.82), and 0.73 (95% CI: 0.62-0.84) in the external test cohort, respectively. The radiomics model outperformed both the readers' interpretation and clinical factor model ( P <0.05).
CONCLUSIONS
The CT-based radiomics model may provide an effective and non-invasive tool to differentiate pneumonia-like PPL from infectious pneumonia, which might provide assistance for clinicians in tailoring precise therapy.
Humans
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Retrospective Studies
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Pneumonia/diagnostic imaging*
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Analysis of Variance
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Tomography, X-Ray Computed
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Lymphoma/diagnostic imaging*