Objective To systematically review the sex differences in efficacy of immune checkpoint inhibitors (ICIs) for non-small cell lung cancer (NSCLC) patients. Methods We conducted a computer search of Medline, The Cochrane Library, and EMbase from inception to November 2022 to identify randomized controlled trials (RCTs) assessing the efficacy of ICIs in patients with NSCLC. A meta-analysis was performed using RevMan 5.4 software. Results Finally 16 RCTs with a total of 9 653 patients were included, and the modified Jadad scale score was≥4 points. Meta-analysis results showed that in female NSCLC patients receiving immune therapy, the median overall survival (OS) [HR=0.72, 95%CI (0.61, 0.85), P<0.001] was longer than that in males [HR=0.73, 95%CI (0.69, 0.78), P<0.001]. Males [HR=0.64, 95%CI (0.58, 0.71), P<0.001] had an advantage over females [HR=0.76, 95%CI (0.57, 1.03), P=0.760] in median progression-free survival (PFS). Conclusion Females receiving ICIs have an advantage over males in terms of median OS. However, males tend to derive greater benefit from ICIs in terms of median PFS.

Objective To systematically evaluate the short-term efficacy and safety of McKeown and Sweet methods in the treatment of esophageal cancer. Methods PubMed, EMbase, The Cochrane Library, Web of Science, Wanfang, VIP, CNKI and Chinese Biomedical Literature database were searched for literature on the short-term efficacy and safety of McKeown and Sweet methods in the treatment of esophageal cancer published from the establishment to May 2023. Newcastle-Ottawa Scale was used to evaluate the quality of researches, and meta-analysis was performed using RevMan5.4. Results A total of 9 articles were included, involving 3687 patients including 1019 in the McKeown group and 2668 in the Sweet group. NOS score was 8-9 points. There were no statistical differences in the age, sex or American Joint Committee on Cancer stage between the two groups (P>0.05). Patients in the McKeown group had longer operative time and hospital stay, more intraoperative blood loss, and higher Eastern Cooperative Oncology Group scores than those in the Sweet group (P<0.05). However, the McKeown operation could remove more lymph nodes (P=0.001). In terms of safety, the incidences of pulmonary complications [OR=2.20, 95%CI (1.40, 3.46), P=0.001] and postoperative anastomotic leakage [OR=2.06, 95%CI (1.45, 2.92), P=0.001] were higher in the McKeown group than those in the Sweet group. In addition, there were no statistical differences between the two groups in the Karnofsky score, cardiac complications, vocal cord injury or paralysis, chylous leakage, or gastric emptying (P>0.05). Conclusion Compared with McKeown, Sweet method has advantages in operation time, intraoperative blood loss and hospital stay, and has lower incidence of postoperative pulmonary complications and anastomotic leakage. However, McKeown has more lymph node dissection.

Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model-calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Humans ; Electroencephalography/methods* ; Meditation ; Calibration ; Neural Networks, Computer ; Brain/physiology* ; Rest/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

Objective:To explore the feasibility and application value of an automated method for generation of surgical records for resection of benign soft tissue tumor based on dense video descriptions.Methods:The Transformer deep learning model was used to establish an automated surgical record generation system to analyze the surgical videos of 30 patients with benign soft tissue tumor who had been admitted to Department of Orthopedics, Xijing Hospital, Air Force Military Medical University from September 2021 to August 2023. The patient data were randomly divided into training sets, validation sets, and test sets in a ratio of 8∶1∶1. In the test sets, 7 evaluation indexes, BLEU-1, BLEU-2, BLEU-3, BLEU-4, Meteor, Rouge, and CIDEr, were used to evaluate the text quality of surgical records generated by the model. The text of surgical records was compared with the classical algorithm, dense video captioning with paralled decoding (PDVC) in the field of video-intensive description.Results:The automated surgical record generation system running in the test sets showed the following: BLEU-1, BLEU-2, BLEU-3, BLEU-4, Rouge, Meteor, and CIDEr were 16.80, 15.23, 13.01, 11.68, 16.01, 12.67 and 62.30, respectively. The operation of the classical algorithm PDVC showed the following: BLEU-1, BLEU-2, BLEU-3, BLEU-4, Rouge, Meteor, and CIDEr were 15.63, 14.17, 11.90, 10.45, 12.97, 11.99 and 53.64, respectively. The automated surgical record generation system resulted in significant improvements compared with PDVC in all evaluation indexes. The BLEU-4, Rouge, Meteor, and CIDEr were improved by 1.23, 3.04, 0.68 and 8.66, respectively, demonstrating that the system proposed can better capture the key data in the video to help generate more effective text records.Conclusion:As the automated surgical record generation system shows good performance in generating surgical records for resection of benign soft tissue tumor based on intensive video descriptions, it can be applied in clinical practice.

Objective:To investigate the clinicopathological and molecular genetic characteristics of well-differentiated/dedifferentiated liposarcoma (WDLPS/DDLPS) with myxoid-like morphology, and to distinguish them from myxofibrosarcoma (MFS) with similar morphology.Methods:Twenty-nine cases of myxoid-like liposarcoma and 5 cases of MFS were collected from Henan Provincial People′s Hospital, Zhengzhou, China and the First Medical Center of PLA General Hospital, Beijing, China from January 2015 to March 2023. Relevant markers were detected using immunohistochemistry and fluorescence in situ hybridization (FISH). The literature was also reviewed.Results:There were 24 males and 10 females, with ages ranging from 41 to 73 years. The tumor sites included retroperitoneum ( n=17), abdomen ( n=9), lower limbs ( n=5), scrotum ( n=1), upper limb ( n=1) and axilla ( n=1). WDLPS was commonly seen as lipomatoid type (12 cases), while the dedifferentiated components of DDLPS included low-grade (13 cases) and high-grade (2 cases) morphology, with low-high grade myxofibrosarcoma, dermatofibrosarcoma protuberans, and low-grade fibrosarcoma structures. Twenty-nine liposarcomas had various proportions of myxoid-like morphology, while 16 showed various degrees of tumor necrosis. The myxoid-like component showed myxoid pleomorphic liposarcoma (MLPS)-like morphology, lobulated growth, characteristic slender, ramified capillary network,"chicken claw-like"morphology, mucus-rich stroma and lung edema-like morphology. Tumor cells were spindle and oval, with many variable vacuolar lipoblasts. MDM2 gene amplification was detected using FISH and present in all tested cases (29/29). DDIT3 break-apart mutation was not detected, but its cluster amplification was present (24/29). Among the MFS cases, one showed cluster amplification (1/5), but no cases showed break-apart or amplification of MDM2 gene. Conclusions:WDLPS/DDLPS with myxoid-like morphology is most commonly seen in the retroperitoneum and abdominal cavity and mostly harbors DDIT3 break-apart probe amplification, while this amplification is not specific to liposarcoma. For core biopsy specimens or very rare tumors in the limbs, when histology has mucinous stroma and MLPS-like morphology, misdiagnosis of MLPS or other non-lipomatous neoplasms with myxoid morphology should be avoided.

Objective:To construct an ensemble machine learning model for predicting the occurrence of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy and evaluate its application value.Methods:This is a research on predictive model. Clinical data of 421 patients undergoing pancreaticoduodenectomy in the Department of Pancreatic Surgery,Union Hospital, Tongji Medical College,Huazhong University of Science and Technology from June 2020 to May 2023 were retrospectively collected. There were 241 males (57.2%) and 180 females (42.8%) with an age of (59.7±11.0)years (range: 12 to 85 years).The research objects were divided into training set (315 cases) and test set (106 cases) by stratified random sampling in the ratio of 3∶1. Recursive feature elimination is used to screen features,nine machine learning algorithms are used to model,three groups of models with better fitting ability are selected,and the ensemble model was constructed by Stacking algorithm for model fusion. The model performance was evaluated by various indexes,and the interpretability of the optimal model was analyzed by Shapley Additive Explanations(SHAP) method. The patients in the test set were divided into different risk groups according to the prediction probability (P) of the alternative pancreatic fistula risk score system (a-FRS). The a-FRS score was validated and the predictive efficacy of the model was compared.Results:Among 421 patients,CR-POPF occurred in 84 cases (20.0%). In the test set,the Stacking ensemble model performs best,with the area under the curve (AUC) of the subject′s work characteristic curve being 0.823,the accuracy being 0.83,the F1 score being 0.63,and the Brier score being 0.097. SHAP summary map showed that the top 9 factors affecting CR-POPF after pancreaticoduodenectomy were pancreatic duct diameter,CT value ratio,postoperative serum amylase,IL-6,body mass index,operative time,albumin difference before and after surgery,procalcitonin and IL-10. The effects of each feature on the occurrence of CR-POPF after pancreaticoduodenectomy showed a complex nonlinear relationship. The risk of CR-POPF increased when pancreatic duct diameter<3.5 mm,CT value ratio<0.95,postoperative serum amylase concentration>150 U/L,IL-6 level>280 ng/L,operative time>350 minutes,and albumin decreased by more than 10 g/L. The AUC of a-FRS in the test set was 0.668,and the prediction performance of a-FRS was lower than that of the Stacking ensemble machine learning model.Conclusion:The ensemble machine learning model constructed in this study can predict the occurrence of CR-POPF after pancreaticoduodenectomy,and has the potential to be a tool for personalized diagnosis and treatment after pancreaticoduodenectomy.

Objective To evaluate the short-term outcome of robot-assisted thoracoscopic surgery (RATS) for the treatment of posterior mediastinal neurogenic tumour. Methods The clinical data of consecutive patients with mediastinal neurogenic tumors who received RATS treatment completed by the same operator in the Department of Thoracic Surgery, Gansu Provincial People's Hospital from June 2016 to June 2022 were retrospectively analyzed. The tumors were preoperatively localized and evaluated using magnetic resonance imaging or enhanced CT. Results A total of 35 patients were enrolled, including 19 males and 16 females with a mean age of 34.9±7.1 years. All patients successfully completed the resection of posterior mediastinal neurogenic tumors under RATS, and no conversion to thoracotomy occurred during the operation. The average operative time was 62.3±18.0 min, docking time was 10.3±2.6 min, intraoperative bleeding was 33.9±21.6 mL, postoperative 24-hour chest drainage was 69.0±28.9 mL, postoperative chest drainage time was 2.0 (1.0, 3.0) d and the postoperative hospital stay was 3.0 (2.0, 4.0) d. Postoperative complications occurred in 3 patients, including 2 patients with transient Honor syndrome and 1 patient with transient anhidrosis of the affected upper limb. Conclusion RATS for posterior mediastinal neurogenic tumours is safe, effective and feasible, and allows the full benefit of the robotic surgical system to be exploited.

Objective:To construct an ensemble machine learning model for predicting the occurrence of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy and evaluate its application value.Methods:This is a research on predictive model. Clinical data of 421 patients undergoing pancreaticoduodenectomy in the Department of Pancreatic Surgery,Union Hospital, Tongji Medical College,Huazhong University of Science and Technology from June 2020 to May 2023 were retrospectively collected. There were 241 males (57.2%) and 180 females (42.8%) with an age of (59.7±11.0)years (range: 12 to 85 years).The research objects were divided into training set (315 cases) and test set (106 cases) by stratified random sampling in the ratio of 3∶1. Recursive feature elimination is used to screen features,nine machine learning algorithms are used to model,three groups of models with better fitting ability are selected,and the ensemble model was constructed by Stacking algorithm for model fusion. The model performance was evaluated by various indexes,and the interpretability of the optimal model was analyzed by Shapley Additive Explanations(SHAP) method. The patients in the test set were divided into different risk groups according to the prediction probability (P) of the alternative pancreatic fistula risk score system (a-FRS). The a-FRS score was validated and the predictive efficacy of the model was compared.Results:Among 421 patients,CR-POPF occurred in 84 cases (20.0%). In the test set,the Stacking ensemble model performs best,with the area under the curve (AUC) of the subject′s work characteristic curve being 0.823,the accuracy being 0.83,the F1 score being 0.63,and the Brier score being 0.097. SHAP summary map showed that the top 9 factors affecting CR-POPF after pancreaticoduodenectomy were pancreatic duct diameter,CT value ratio,postoperative serum amylase,IL-6,body mass index,operative time,albumin difference before and after surgery,procalcitonin and IL-10. The effects of each feature on the occurrence of CR-POPF after pancreaticoduodenectomy showed a complex nonlinear relationship. The risk of CR-POPF increased when pancreatic duct diameter<3.5 mm,CT value ratio<0.95,postoperative serum amylase concentration>150 U/L,IL-6 level>280 ng/L,operative time>350 minutes,and albumin decreased by more than 10 g/L. The AUC of a-FRS in the test set was 0.668,and the prediction performance of a-FRS was lower than that of the Stacking ensemble machine learning model.Conclusion:The ensemble machine learning model constructed in this study can predict the occurrence of CR-POPF after pancreaticoduodenectomy,and has the potential to be a tool for personalized diagnosis and treatment after pancreaticoduodenectomy.

Objective To explore the diagnostic value of ultrasound for thyroid nodules with a spoke-wheel blood flow pattern.Methods The clinical data of the patients with thyroid nodules presenting a spoke-wheel blood flow pattern examined by ultrasound were collected,and the gray-scale ultrasound features of the nodules were recorded.The diagnostic performance of the Thyroid Imaging Reporting and Data System by American College of Radiology(ACR TI-RADS),Chinese Thyroid Imaging Reporting and Data System(C-TIRADS),and combined specific indicators for the thyroid nodules with a spoke-wheel blood flow pattern was evaluated by comparison with the pathological results,which was regarded as the gold standard.Results A total of 64 patients with thyroid nodules were finally included,including 47 patients with malignant nodules and 17 patients with benign nodules.In addition to the general ultrasound features,central scar mostly appeared in malignant nodules(x2=5.968,P=0.015),while central coarse calcification was more common in benign nodules(x2=10.899,P=0.001).After the combination of central scar and central gross calcification,the diagnostic performance of ACR TI-RADS and C-TIRADS was improved(both P＜0.001).Conclusions When the thyroid nodule shows a spoke-wheel blood flow pattern,one should be cautious of the possibility of malignancy.Combining central scar and central coarse calcification can improve the accuracy of ultrasonic diagnosis.

Objective To observe the value of multiparametric quantitative MRI for diagnosis of thyroid-associated ophthalmopathy(TAO)complicated with dysthyroid optic neuropathy(DON).Methods Fifty-five TAO patients with 109 affected eyes were retrospectively enrolled and divided into DON group(22 cases with 44 affected eyes)and non DON group(33 cases with 65 affected eyes)based on complicated with DON or not.Clinical data and multiparametric quantitative MRI indicators were compared between groups.The influencing factors of TAO complicated with DON were screened with logistic regression to establish a model,and the diagnostic efficacy of the model was observed.Results Significant differences of the course of disease,degree of eyeball protrusion,muscle index,as well as the number,thickness,T1 value,T2 value,fat fraction and orbital fat water fraction of thickened extraocular muscle were found between groups(all P＜0.05).T1 value and orbital fat water fraction of thickened extraocular muscle were both independent influencing factors of TAO complicated with DON,with the area under the curve(AUC)for diagnosing TAO complicated with DON of 0.859 and 0.868,respectively,and AUC of the combined diagnosis of the two was 0.922,significantly higher than orbital fat water fraction alone(P=0.034)but not significantly different with that of T1 value alone(P=0.851).Conclusion T1 value and orbital fat water fraction of thickened extraocular muscle based on multiparametric quantitative MRI were helpful for diagnosing TAO complicated with DON.