With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To study the correlation between Periostin, interleukin-33 (IL-33), and chronic cough after thoracoscopic lobectomy in patients with coronary artery bypass grafting (CABG) combined with lung cancer. Methods A total of 102 lung cancer and coronary heart disease patients at Tianjin Chest Hospital from January 2022 to January 2024 were prospectively enrolled, and they were divided into a chronic cough group (n=42) and a non-chronic cough group (n=60) based on whether chronic cough occurred after surgery. Serum levels of Periostin and IL-33 were measured on the 1st, 7th, and 14th days post-lobectomy. The Pearson method was employed to analyze the correlation between Periostin and IL-33 levels and the severity of cough. Univariate and multivariate logistic regression analyses were conducted to identify factors influencing the occurrence of chronic cough. Additionally, receiver operating characteristic (ROC) curve analysis was utilized to assess the potential value of serum Periostin and IL-33 levels in predicting postoperative chronic cough. Results In patients with chronic cough, the peripheral blood Periostin and IL-33 levels measured on days 7 and 14 were significantly higher than those in patients with non-chronic cough, and the interactions between the two groups and at different time points were significant (P<0.001). The degree of cough was positively correlated with the levels of Periostin and IL-33 on days 7 and 14 (P<0.05), but had no significant correlation with the levels on day 1 (P>0.05). In patients with lung cancer, after thoracoscopic lobectomy, Periostin [OR=1.619, 95%CI (1.295, 2.025)] and IL-33 [OR=1.831, 95%CI (1.216, 2.758)] on day 7 and Periostin [OR=1.952, 95%CI (1.306, 2.918)] and IL-33 [OR=1.742, 95%CI (1.166, 2.603)] on day 14 were identified as risk factors for chronic cough. ROC curve analysis showed that the sensitivity of Periostin on day 7 was 69.05%, the specificity was 71.67%, and the area under the curve (AUC) was 0.756 [95%CI (0.616, 0.893)]. The sensitivity of Periostin on day 14 increased to 71.43% and the specificity was 76.67%, AUC was 0.762 [95%CI (0.633, 0.898)]. At the same time, the critical value of IL-33 on day 7 was 45.03 pg/mL, the sensitivity and specificity were both 83.33%, the AUC was 0.884 [95%CI (0.789, 0.980)], and the critical value of IL-33 on day 14 was 56.01 pg/mL, the sensitivity was 85.71%, the specificity was 80.00%, and the AUC was 0.899 [95%CI (0.799, 0.999)]. Joint logistic regression analysis of Periostin and IL-33 levels on days 7 and 14 showed showed that the sensitivity was 95.24%, the specificity was 95.00%, and the AUC reached 0.993 [95%CI (0.979, 1.000)]. Conclusion Periostin and IL-33 levels, measured at various time points, are abnormally elevated following thoracoscopic lobectomy in patients with combined CABG and lung cancer. These levels significantly correlate with cough severity. Given their predictive potential for chronic cough, these markers are deemed valuable biomarkers.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Given the escalating number of cancer patients and the consequent rise in demand for radiation therapy in China, there is an urgent need to establish and improve a talent cultivation system for radiation dosimetrists. The United States, with an early-established cultivation system for radiation dosimetrists, boasts relatively mature and comprehensive systems of academic education and qualification certification. This study summarized and analyzed the educational and certification patterns for radiation dosimetrists in the United States based on public data from relevant institutions, related literature, and interviews with American radiation dosimetrists. Meanwhile, this study delved into and assessed the shortcomings in China′s radiation dosimetry education, examination, certification, and career advancement pathways. Furthermore, this study offered suggestions and recommendations for constructing a novel pattern tailored to the cultivation of radiation dosimetrists in China, in order to facilitate the high-quality development of the medical dosimetry discipline.

Medical physicists play an important role in radiodiagnosis, radiotherapy, and nuclear medicine practices. The International Atomic Energy Agency (IAEA) suggests that medical physicists should be trained and achieve professional certifications. Many developed countries/regions have established comprehensive examination and certification programs for medical physicists. However, these systems are yet to be improved in China. This leads to a lack of control over the professional competence and practice standards in the workforce, posing a negative impact on the quality and safety of China’s clinical services in radiation medicine. The International Medical Physics Certification Board (IMPCB) is aimed at accrediting national/regional medical physics certification programs and providing certification of individual medical physicists in countries/regions lacking such certification programs. This study introduces the procedures and specific method for China’s medical physicists to achieve professional certifications via IMPCB, aiming to help improve their professionalism.

Brain MRI data is characterized by large volumes and susceptibility to noise and artifacts,which pose significant challenges of improving the speed and accuracy of brain tumor detection and analysis due to the tumors'diverse types,shapes,and boundaries that are both similar and highly variable.Therefore,a series of improvements based on YOLOv7 algorithm are proposed for enhancing detection precision and speed:(1)employing partial convolution during feature extraction to reduce the model's parameters and improve overall detection speed;(2)in light of the complex variability of brain tumors,introducing a three-dimensional spatial attention mechanism during feature extraction to enhance the model's focus on critical image features;(3)replacing the original IoU loss function with WIoU to increase the attention to medium-quality anchor boxes during bounding box regression for further improving detection accuracy.Experiments conducted on two public brain tumor datasets,Brain_Tumor and Glioma_of_test,show that the improved model achieves mAP of 96.9%and 92.8%,which are 1.4%and 2.4%higher than the original YOLOv7 model,and the frames per second reach 162.7 and 158.1,showing improvements of 6.4 and 18.2,respectively.These enhancements enable more effective detection of brain tumors in MRI images.

Objective:This multicenter retrospective study aimed to analyze the clinicopathological features of duodenal adenocarcinoma (DA) and identify prognostic factors for postoperative survival.Methods:Demographic characteristics, clinicopathological features, treatment outcomes and survival of DA patients undergoing surgical treatment at 18 Chinese medical centers from January 2012 to December 2023 were retrospectively analyzed.Results:Among the 2 056 DA patients included, 46.8% (963) had extra-ampullary DA (EA-DA), and 53.2% (1 093) had peri-ampullary DA (PA-DA). The 1-, 3-, and 5-year overall survival (OS) rates for patients who underwent radical surgery were 93.2%, 71.0%, and 57.2%, respectively. The median overall survival was 76 months, and the median progression-free survival (PFS) was 65 months. No differences in survival were observed between the laparotomy group and minimally invasive surgery (MIS) group either before or after propensity score matching (OS: 76 vs. 75 months before PSM, P=0.986; OS: 75 vs. 75 months after PSM, P=0.602). Furthermore, there were no significant differences between-group in operation time and postoperative complications ( P＞0.05). The MIS group experienced less intraoperative blood loss and shorter hospital stays. The multivariate Cox regression analysis revealed that advanced age ( HR=1.43,95% CI:1.18-1.73), elevated carbohydrate antigen 19-9 levels ( HR=1.24,95% CI:1.02-1.51), perineural invasion ( HR=1.44,95% CI:1.14-1.81), vascular invasion ( HR=1.35,95% CI:1.07-1.71), advanced T stage (T3-4 vs. T1-2: HR=1.86,95% CI:1.49-2.31), regional lymph node metastasis ( HR=1.93,95% CI:1.58-2.36), preoperative biliary drainage ( HR=1.26,95% CI:1.04-1.53), intraoperative blood loss ( HR=1.34,95% CI:1.11-1.62), clinically significant postoperative pancreatic fistulas ( HR=1.53,95% CI:1.12-2.09), and postoperative hemorrhage ( HR=1.62,95% CI:1.14-2.29) were independent risk factors for poor prognosis after surgery (all P＜0.05). Conclusions:Radical surgery is associated with favorable overall survival among DA patients, and no difference in survival is observed between EA-DA and PA-DA patients. MIS is a reliable alternative for DA treatment.

Objective:To analyze the anatomical characteristics and surgical management measures of acute Stanford type A aortic dissection (AAD) involving coronary arteries, and to preliminarily explore the clinical efficacy of different coronary artery treatment techniques.Methods:A retrospective analysis was conducted on the clinical data of 42 patients who underwent surgery for AAD involving coronary arteries in Hunan Provincial People′s Hospital from January 2022 to May 2025. They were divided into the MI group (14 cases) and the nMI group (28 cases) according to whether they had acute myocardial infarction before surgery. The clinical data such as the actual surgical methods and mortality in the two groups were summarized.Results:Among 294 surgeries, 42 cases (14.3%) had definite coronary artery involvement, including 14 cases in the MI group and 28 cases in the nMI group; 1 case had bilateral coronary artery involvement and 41 cases had right coronary artery involvement. Regarding injury types: 16 cases were of the coronary trunk compression type, 12 cases were of the sinus intimal tear neal to ostium type, and 14 cases were of the coronary trunk intimal type. There was no statistically significant difference in the types of coronary artery involvement between the two groups ( P>0.05). There were 18 cases of Sun′s procedure with preserved aortic sinus and aortic valve, 7 cases of Bentall procedure without bypass, and 17 cases of Bentall procedure plus bypass. There was no statistically significant difference in the surgical plans between the two groups ( P>0.05). There were 4 deaths within 30 days (2 cases in each group). Conclusions:AAD involving coronary arteries is a critical condition, and accurate diagnosis is somewhat difficult. Myocardial ischemia is not significantly associated with the type of coronary artery involvement. The surgical plan depends on the type of coronary artery involvement. The classification method in this study is conducive to selecting appropriate surgical methods and improving surgical prognosis.

Objective:To explore the factors associated with the efficacy of high-frequency repetitive transcranial magnetic stimulation (rTMS) in the treatment of neuropathic pain (NP) following spinal cord injury (SCI).Methods:This was a retrospective study of 89 SCI survivors with NP receiving high-frequency rTMS. Those with a ≥30% reduction in their Numeric Rating Scales (NRS) scores after 2 weeks of treatment were termed Responders ( n=36), with the others classified as non-responders ( n=53). Demographic data (gender, education level, age), SCI characteristics (injury etiology, injury severity, neurological injury level, injury duration), NP characteristics (pain type, pain intensity, analgesic use), functional assessment (Modified Ashworth Scale score, Spinal Cord Independence Measure score, Modified Barthel Index score, American Spinal Injury Association motor/sensory score) were collected. Least absolute shrinkage and selection operator (LASSO) regression was used for variable selection, followed by binary logistic regression to identify factors associated with treatment efficacy. Results:Among the 89 patients, 36 (40.4%) were Responders to high-frequency rTMS. Binary logistic regression revealed that those with a cervical spinal cord injury and/or spasticity and women were more likely to respond to high-frequency rTMS.Conclusions:Female gender, cervical spinal cord injury, and spasticity are independent factors predicting rTMS efficacy in treating SCI, with spasticity demonstrating the strongest association.

OBJECTIVE To establish the HPLC fingerprint of Xintong granules and the quantitative analysis of multi-components by single-marker method(QAMS)to determine the contents of 7 components,so as to provide a scientific basis for their quality control.METHODS HPLC method was used to establish the fingerprints for 10 batches of Xintong granules(No.S1-S10),and similarity evaluation,cluster analysis(CA)and partial least squares-discriminant analysis(PLS-DA)were performed.At the same time,the contents of seven components,including puerarin,daidzin,calycosin-7-O-β-D-glucoside,stilbene glycoside,naringin,icariin and tanshinone ⅡA,were determined by QAMS method,and were compared with the results of external standard method.RESULTS A total of 18 common peaks were marked and 7 peaks were identified in the HPLC fingerprints for 10 batches of Xintong granules,namely puerarin(peak 4),daidzin(peak 7),calycosin-7-O-β-D-glucoside(peak 9),stilbene glycoside(peak 10),naringin(peak 12),icariin(peak 17),and tanshinone ⅡA(peak 18);the similarities among them were more than 0.990,and CA and PLS-DA results showed that S4-S5,S8-S10,S1-S3 and S6-S7 were clustered into three categories,respectively.Using naringin as the internal standard,the contents of puerarin,daidzin,calycosin-7-O-β-D-glucoside,stilbene glycoside,icariin and tanshinone ⅡA were determined to be 7.868 1-10.181 2,1.709 2-2.374 1,0.285 2-0.326 3,1.024 1-1.523 9,0.140 2-0.290 4,and 0.077 1-0.219 4 mg/g,respectively,by the QAMS.These results showed no significant differences compared to those obtained by the external standard method.CONCLUSIONS Established HPLC fingerprint and QAMS method are convenient,stable and accurate,which can provide a basis for the quality evaluation of Xintong granules.