ABSTRACT
@#Along with the popularity of low-dose computed tomography lung cancer screening, an increasing number of early-stage lung cancers are detected. Radical lobectomy with systematic nodal dissection (SND) remains the standard-of-care for operable lung cancer patients. However, whether SND should be performed on non-metastatic lymph nodes remains controversy. Unnecessary lymph node dissection can increase the difficulty of surgery while also causing additional surgical damage. In addition, non-metastatic lymph nodes have been recently reported to play a key role in immunotherapy. How to reduce the surgical damage of mediastinal lymph node dissection for early-stage lung cancer patients is pivotal for modern concept of "minimally invasive surgery for lung cancer 3.0". The selective mediastinal lymph node dissection strategy aims to dissect lymph nodes with tumor metastasis while preserving normal mediastinal lymph nodes. Previous studies have shown that combination of specific tumor segment site, radiology and intraoperative frozen pathology characteristics can accurately predict the pattern of mediastinal lymph node metastasis. The personalized selective mediastinal lymph node dissection strategy formed from this has been successfully validated in a recent prospective clinical trial, providing an important basis for early-stage lung cancer patients to receive more personalized selective lymph node dissection with "precision surgery" strategies.
ABSTRACT
OBJECTIVE@#To construct a multiple linear regression model of forced expiratory volume in 1 second (FEV1) for estimating FEV1 in special populations unable to receive or uncooperative in pulmonary ventilation function tests.@*METHODS@#The multiple linear regression model of FEV1 was constructed based on the data of 813 individuals undergoing pulmonary function tests in First Affiliated Hospital of Zhejiang Chinese Medical University between September, 2017 and September, 2019, and was validated using the data of another 94 individuals from the same hospital between January and July, 2020. FEV1 of the individuals was measured by pulmonary ventilation function test, and respiratory resistance (Rrs) was measured using forced oscillation technique (FOT). Pearson correlation analysis was used to assess the correlation between the factors, and the model equation was established by multiple stepwise regression analysis. The calculated FEV1 based on the model was compared with the measured FEV1 among both the individuals included for modeling and validation.@*RESULTS@#FEV1 was not significantly correlated with BMI (@*CONCLUSIONS@#The multiple linear regression model for calculating FEV1 constructed in this study is suitable for clinical application.
Subject(s)
Adult , Humans , Forced Expiratory Volume , Linear Models , Lung , Respiratory Function Tests , Sex FactorsABSTRACT
Objective In order to further improve the noninvasive measurement precision of human blood glucose and achieve clinical requirements,experiments were conducted to measure human blood glucose by a novel measurement method our group proposed.Methods The blood flow of the tested parts was stopped by pressure,and dynamic distribution of transmission spectra was measured by time-correlated single-photon counting (TCSPC) technology under the dual wavelength light incident.Oral glucose tolerance test (OGTT) was conducted on three human subjects,and the early arriving photons were selected by Laplace transform.Meanwhile,the human blood glucose concentration was measured using the Roche glucose meter.Results The best curve fitting was got when the Laplace parameter was 1Gs-1 (determining parameter R2=0.0922).Conclusions The experimental results showed that better measurement accuracy can be obtained by selecting appropriate Laplace parameter,and noninvasive measurement of human blood glucose under flow control of time gate was feasible.