Clinical effect of the internal fixation for rib fracture with single utility port complete video-assisted thoracoscopic surgery.

BACKGROUNDS: The internal fixation for rib fracture with single-operation-port (two ports) complete video-assisted thoracoscopic surgery (VATS) is a promising surgical approach for treating multiple rib fractures. The study aimed to investigate the minimally invasive surgical procedure's clinical effect in treating multiple rib fractures. METHODS: Seventy-three patients with multiple rib fractures were divided into two groups according to surgical procedure. In the study group, 42 patients were operated on with the internal fixation of rib fracture with single-operation-port complete VATS. In the control group, this study performed the open operative internal fixation for rib fracture with traditional thoracotomy on 31 patients. The surgical-related indexes were retrospectively analyzed. These included the operative time, the intraoperative blood loss, the drainage amount of the chest tube, the placement time of the chest tube, the postoperative hospital stay, the incidence of postoperative complications, the imaging efficacy of rib fixation of rib fractures, and visual analog scale of pain scoring (VAS scoring). RESULTS: There was no difference in the operative time between the study and control groups (P = 0.806). The intraoperative blood loss, the chest tube drainage amount, the chest tube placement time, the postoperative hospital stay, and the incidence of postoperative complications in the study group were lower than those in the control group (P < 0.05). There was no significant difference in the imaging efficacy of rib fixation of rib fractures between the two groups (P = 0.806). VAS scores in the study group on the seventh postoperative day were significantly reduced compared with the control group (P = 0.026). CONCLUSION: The internal fixation for rib fractures with single-operation-port complete VATS is a feasible, safe, simple, and minimally invasive surgical procedure to treat multiple rib fractures, which is worthy of clinical application.

Our experience diagnosing 225 patients with cervical glandular lesions: current technologies, lessons learned, and areas for improvement.

OBJECTIVE: To explore the relative sensitivity of different methods for detecting cervical glandular lesions. METHODS: A total of 225 patients with cervical glandular lesions diagnosed from January 2018 to February 2023 were retrieved from the pathology database of Guangdong Maternal and Child Health Hospital, and their clinicopathological features were reviewed. RESULTS: Four human papillomavirus (HPV) genotypes: HPV18, 16, 45, and 52, dominated all glandular lesions, and accounting for 74.10% of HPV-positive tumors. Furthermore, 36.89% of abnormal squamous cells were diagnosed as abnormal based on cytological examinations leading to the detection of cervical glandular lesions; only 16.89% were diagnosed based on the initial detection of abnormal glandular cytology. The most common abnormal cervical screening result was ASC-US on cytology (14.22%), followed by HSIL (11.56%). Only few number of patients were diagnosed with or suspected of having cervical adenopathy via a Pap test (18.22%). Nearly one-third of cervical glandular lesions cases were not detected on the Pap test; but were diagnosed upon cervical biopsy or based on the histological examination of ECC, LEEP, or CKC specimens. The LEEP or CKC biopsy specimens had negative margins in 49 cases (40.83%), while the margins were positive in the other 71 cases (59.17%). Five cases (10.20%) with negative margins still had residual lesions following total hysterectomy, and 19 (26.76%) with positive margins had no residual lesions after total hysterectomy. CONCLUSION: The ability to detect cervical glandular lesions varies for routine HPV genotyping, Pap test, or biopsy/ECC, with different sensitivities and advantages and disadvantages for each method.

Theoretical Parameter-Free Analysis Model for Temperature-Programmed Desorption (TPD) Spectra.

This paper proposes a parameter-free mathematical model of analyzing either monosite or multisite temperature-programmed desorption (TPD) spectra. By linearizing the integral function difference, the desorption kinetic parameters, such as the desorption order n, the desorption activation energy E d, and the pre-exponential factor ν, can be extracted simultaneously with promising accuracy. A custom "ant" is further established in the model to explore the spectra by a "prediction-correction" loop, and the kinetics and the coverage distribution of the individual peak in the spectra can be solved sequentially. Meanwhile, eight cases on spectrum analysis, including but not limited to the spectrum with coverage-dependent kinetics, the spectrum affected by the noise, the practical spectrum, are demonstrated to fully understand the model's principle, process, and application. Moreover, the model optimization and resolution limitation are further discussed to stimulate the future potential of the innovative parameter-free model.

Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing.

In this study, an improved eliminate particle swarm optimization (IEPSO) is proposed on the basis of the last-eliminated principle to solve optimization problems in engineering design. During optimization, the IEPSO enhances information communication among populations and maintains population diversity to overcome the limitations of classical optimization algorithms in solving multiparameter, strong coupling, and nonlinear engineering optimization problems. These limitations include advanced convergence and the tendency to easily fall into local optimization. The parameters involved in the imported "local-global information sharing" term are analyzed, and the principle of parameter selection for performance is determined. The performances of the IEPSO and classical optimization algorithms are then tested by using multiple sets of classical functions to verify the global search performance of the IEPSO. The simulation test results and those of the improved classical optimization algorithms are compared and analyzed to verify the advanced performance of the IEPSO algorithm.