RESUMEN
Background: Preoperative two-dimensional manual measurement of pulmonary artery diameter in a single-cut axial view computed tomography (CT) image is a commonly used non-invasive prediction method for pulmonary hypertension. However, the accuracy may be unreliable. Thus, this study aimed to evaluate the correlation of short-term surgical outcomes and pulmonary artery/aorta (PA/Ao) diameter ratio measured by automated three-dimensional (3D) segmentation in lung cancer patients who underwent thoracoscopic lobectomy. Materials and methods: We included 383 consecutive lung cancer patients with thin-slice CT images who underwent lobectomy at a single institute between January 1, 2011 and December 31, 2019. Automated 3D segmentation models were used for 3D vascular reconstruction and measurement of the average diameters of Ao and PA. Propensity-score matching incorporating age, Charlson comorbidity index, and lobectomy performed by uniportal VATS was used to compare clinical outcomes in patients with PA/Ao ratio ≥1 and those <1. Results: Our segmentation method measured 29 (7.57%) patients with a PA/Ao ratio ≥1. After propensity-score matching, a higher overall postoperative complication classified by the Clavien-Dindo classification (p = 0.016) were noted in patients with 3D PA/Ao diameter ratio ≥1 than those of <1. By multivariate logistic regression, patients with a 3D PA/Ao ratio ≥ 1 (p = 0.013) and tumor diameter > 3 cm (p = 0.002) both significantly predict the incidence of postoperative complications. Conclusions: Pulmonary artery/aorta diameter ratio ≥ 1 measured by automated 3D segmentation may predict postoperative complications in lung cancer patients who underwent lobectomy.
RESUMEN
Errors occurred in the standard deviation of the Dice similarity coefficient (DSC) described in the original publication [...].
RESUMEN
Pulmonary hypertension should be preoperatively evaluated for optimal surgical planning to reduce surgical risk in lung cancer patients. Preoperative measurement of vascular diameter in computed tomography (CT) images is a noninvasive prediction method for pulmonary hypertension. However, the current estimation method, 2D manual arterial diameter measurement, may yield inaccurate results owing to low tissue contrast in non-contrast-enhanced CT (NECT). Furthermore, it provides an incomplete evaluation by measuring only the diameter of the arteries rather than the volume. To provide a more complete and accurate estimation, this study proposed a novel two-stage deep learning (DL) model for 3D aortic and pulmonary artery segmentation in NECT. In the first stage, a DL model was constructed to enhance the contrast of NECT; in the second stage, two DL models then applied the enhanced images for aorta and pulmonary artery segmentation. Overall, 179 patients were divided into contrast enhancement model (n = 59), segmentation model (n = 120), and testing (n = 20) groups. The performance of the proposed model was evaluated using Dice similarity coefficient (DSC). The proposed model could achieve 0.97 ± 0.66 and 0.93 ± 0.16 DSC for aortic and pulmonary artery segmentation, respectively. The proposed model may provide 3D diameter information of the arteries before surgery, facilitating the estimation of pulmonary hypertension and supporting preoperative surgical method selection based on the predicted surgical risks.
RESUMEN
OBJECTIVE: Patients with rheumatoid arthritis (RA) often suffer from bone complications due to persistent joint inflammation, especially incident fracture. Nowadays, Chinese herbal medicines (CHMs) have provided safe and effective therapy for treating skeletal conditions, but it is unclear whether CHMs can prevent fracture onset among RA individuals. This study aimed to determine the association between the use of CHMs and the risk of fracture among them. METHODS: This retrospective, population-based study retrieved administrative health data from the Taiwan National Health Insurance (NHI) database to identify patients with newly diagnosed RA between 2000 and 2009. Of the 6178 incident RA patients, 2495 matched pairs of CHMs users and non-CHMs users were identified by propensity score matching. Enrollees with hip fractures prior to RA onset were excluded. Included subjects were followed until the end of 2013. Incidence and adjusted hazard ratios (HR) of new-onset bone fracture in the multivariable Cox proportional hazard model were measured with 95% confidence interval (CI). RESULTS: Fracture incidence was lower in CHMs users than in the comparison cohort (26.91 vs 32.94 per 1000 person-years, respectively), with an adjusted HR of 0.82 (95% CI: 0.73-0.92). Subjects receiving CHMs for more than 2 years had a much lower risk of fracture onset by more than 50%. Some CHMs prescriptions (Yan Hu Suo, Bei Mu, Da Huang, Dang Shen, Fu-Zi, Shu-Jing-Huo-Xue-Tang, Dang-Gui-Nian-Tong-Tang, Jia-Wei-Xiao-Yao-San, Gan-Lu-Yin, and Gui-Zhi-Shao-Yao-Zhi-Mu-Tang) were associated with reduced fracture risk. CONCLUSION: Adding CHMs to routine treatment was found to be related to lower fracture risk in RA patients.
RESUMEN
OBJECTIVE: Menopausal women appear to report a higher risk of Sjögren syndrome (SS). Although Chinese herbal medicines (CHMs) are proven to lower SS risk, the scientific evidence of whether it can lessen the occurrence of SS among menopausal women is limited. This longitudinal cohort study aimed to clarify the relationship between CHMs use and SS risk in menopausal women. METHODS: Using a nationwide claims data, we enrolled 31,917 women with first-time diagnosed menopause who simultaneously were free of SS between 2000 and 2007. Among them, we randomly selected 12,757 CHMs users and 12,757 non-CHMs users using propensity scores matching. All participants were followed until the end of 2012 to record SS incidence. The hazard ratio of SS with regard to CHMs use was estimated using the Cox proportional hazards regression model. RESULTS: In the follow-up period, 589 CHMs users and 644 non-CHMs users developed SS, representing incidence rates of 5.12 and 6.40, respectively, per 1,000 person-years. CHMs use was associated with a 21% lower subsequent risk of SS (adjusted hazard ratio, 0.79; 95% CI, 0.71-0.89). Six commonly prescribed CHMs were discovered to be associated with lower SS risk: Ge-Gen-Tang, Zhi-Gan-Cao-Tag, Da-Huang, Ye-Jiao-Teng, Tian-Hua-Fen, and Bo-Zi-Ren. CONCLUSIONS: A statistically significant association was found between CHMs use and lower risk of SS onset in menopausal women, suggesting that CHMs could be considered to integrate it into conventional therapy to reduce subsequent SS risk for menopausal women.