OBJECTIVE: To explore the feasibility of radical resection for cancer patients complicated with coronavirus disease 2019 (COVID-19). METHODS: The management and clinical outcome of a sigmoid cancer patient with COVID-19 were analyzed. RESULTS: The inflammation indicators and fever of this patient were effectively controlled and the lung lesions remained stable after active anti-viral treatment, then the radical colorectomy was performed after the viral negative conversion for twice. CONCLUSIONS The case indicates that radical resection can be performed in SARS-CoV-2 patients with twice-negative SARS-CoV-2 nucleic acid testing results.
Betacoronavirus ; isolation & purification ; Colonic Neoplasms ; complications ; surgery ; Coronavirus Infections ; complications ; therapy ; Disease Management ; Humans ; Pandemics ; Pneumonia, Viral ; complications ; therapy ; Treatment Outcome

OBJECTIVE: To explore the feasibility of surgical treatment for cancer patients complicated with corona virus disease 2019 (COVID-19). METHODS: The management and clinical outcome of a sigmoid cancer patient with COVID-19 were analyzed. RESULTS: The inflammation indicators and fever of this patient were effectively controlled and the lung lesions remained stable after active anti-viral treatment, then the radical colorectomy was performed after the viral negative conversion for twice. CONCLUSIONS The case indicates that it may feasible to undergo radical tumor surgery for cancer patients with COVID-19 after the virus nucleic acid testing turns negative and more studies are needed to confirm this conclusion.
Antiviral Agents ; therapeutic use ; Betacoronavirus ; Clinical Laboratory Techniques ; Colonic Neoplasms ; complications ; surgery ; virology ; Coronavirus Infections ; complications ; diagnosis ; drug therapy ; Fever ; Humans ; Nucleic Acid Amplification Techniques ; Pandemics ; Pneumonia, Viral ; complications ; diagnosis ; drug therapy

Recording the highly diverse and dynamic activities in large populations of neurons in behaving animals is crucial for a better understanding of how the brain works. To meet this challenge, extensive efforts have been devoted to developing functional fluorescent indicators and optical imaging techniques to optically monitor neural activity. Indeed, optical imaging potentially has extremely high throughput due to its non-invasive access to large brain regions and capability to sample neurons at high density, but the readout speed, such as the scanning speed in two-photon scanning microscopy, is often limited by various practical considerations. Among different imaging methods, light field microscopy features a highly parallelized 3D fluorescence imaging scheme and therefore promises a novel and faster strategy for functional imaging of neural activity. Here, we briefly review the working principles of various types of light field microscopes and their recent developments and applications in neuroscience studies. We also discuss strategies and considerations of optimizing light field microscopy for different experimental purposes, with illustrative examples in imaging zebrafish and mouse brains.
Animals ; Mice ; Microscopy/methods* ; Zebrafish ; Neurons/physiology* ; Brain/physiology* ; Neurosciences

Objective     To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods    The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results     A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion     The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.