Stroke is one of the leading causes of disability and mortality worldwide. Research into its mechanisms and the development of therapeutic strategies heavily rely on animal models that accurately replicate the pathological features of human disease. An ideal animal model for stroke should not only reproduce the neurological deficits and pathological changes observed in clinical patients but also demonstrate good reproducibility and translational value. This review focuses on the preparation and evaluation methods of ischemic stroke animal models. Firstly, it elaborates on the selection criteria, advantages, and disadvantages of experimental animals, including rodents (rats, mice) and non-rodents (non-human primates, miniature pigs, rabbits, zebrafish). Secondly, it provides a detailed overview of the modeling principles, key procedures, and application scopes for ischemic stroke models and hemorrhagic stroke models. Furthermore, the review summarizes advances in the applications of emerging technologies—including gene editing [e.g., clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) gene editing], multimodal imaging (e.g., two-photon microscopy, photoacoustic imaging), artificial intelligence, optogenetics, 3D bioprinting, organoid models, and multi-omics–in model optimization, precise assessment, and mechanistic investigation. Finally, based on a systematic analysis of relevant domestic and international literature from 2019 to 2024, this review discusses model selection strategies based on research objectives, a multidimensional evaluation system encompassing behavioral, imaging, and molecular pathological assessments, and envisions future directions involving technological integration to achieve model precision and individualization. This article aims to provide a comprehensive methodological reference to help researchers select appropriate animal models of stroke according to specific scientific questions.

It is very limited that the benefit of perioperative chemotherapy in early non-small cell lung cancer (NSCLC), and the 5-year survival rate is only 5% higher than surgery. Antibodies that block programmed cell death protein 1/programmed death-ligand 1 significantly improve the survival of advanced NSCLC. The value of immunotherapy in early NSCLC is also being explored. This paper firstly summarized and analyzed the progress of immunotherapy in the perioperative period of NSCLC. Secondly, the safety and feasibility of surgical resection after neoadjuvant immunotherapy were discussed. Finally, the clinical value of different therapeutic efficacy prediction indicators was summarized, in order to clarify the current status of immunotherapy in the perioperative period, so as to improve the clinical benefits of early NSCLC patients.

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.

Introduction: Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy with a predilection for metastasis to the liver, lungs, and lymph nodes. Bone involvement is less common and typically occurs alongside widespread disease. Isolated skeletal progression without visceral involvement is unusual and not well characterized. Case: A 60-year-old female underwent left adrenalectomy in 2019 for an incidentally detected adrenal mass, which was reported as a benign adrenal cortical adenoma (Ki67 <3%). In 2022, she presented with persistent low back pain. Imaging demonstrated fluorodeoxyglucoseavid lesions involving the T12 vertebra and right ilium, without evidence of local recurrence or visceral metastases. Histopathological evaluation of a bone biopsy initially suggested a neuroendocrine neoplasm based on synaptophysin positivity. Following multiple expert reviews and integration of clinical, radiological, and immunohistochemical findings, a consensus diagnosis of metastatic ACC was established. She received palliative radiotherapy to symptomatic skeletal sites and subsequently completed six cycles of etoposide, doxorubicin, and cisplatin chemotherapy in 2023, achieving disease stabilization. Surveillance imaging in May 2025 demonstrated progression confined to the axial and appendicular skeleton, with no involvement of the adrenal bed or visceral organs. Mitotane therapy was initiated in December 2025. Ongoing management focuses on systemic disease control, symptom palliation, and multidisciplinary supportive care. Conclusion This case illustrates an uncommon pattern of ACC progression characterized by bone-dominant metastases in the absence of visceral disease. It also highlights the importance of reconsidering the initial histopathological diagnosis when clinical behavior is discordant. Vigilance for atypical metastatic patterns is warranted, even years after resection of an adrenal lesion initially classified as benign.
Adrenocortical Carcinoma

Introduction: The 2021 IDF-DAR risk calculator had been previously evaluated in multiple studies and subsequently widely accepted and applied in clinical practice as a practical standardized tool for patient risk stratification. Recently updated, the 2026 IDF-DAR Risk calculator enables a more individualized, evidence-related evaluation of patientrelated and disease-related risk factors, incorporating modern diabetes technologies, including continuous glucose monitoring (CGM), automated insulin delivery (AID) systems, and advanced insulin formulations to enhance risk stratification. This tool allows medical professionals to tailor Ramadan practices based on overall factors toward promoting safe fasting. Methodology: This prospective multicentre observational study recruited adults with Type 1 and Type 2 diabetes attending public hospitals nationwide. People with diabetes (PwD) intending to perform Ramadan fasting were invited to participate and assessed using the 2026 IDF-DAR Risk Calculator in the 6-week pre-Ramadan period between 30th January and 19th March 2026. Results: A total of 458 PwD were evaluated and stratified into low (15.7%), moderate (41%), and high risk (43.3%) categories. Most participants had Type 2 diabetes (83.6%), with 60.3% having a disease duration exceeding 10 years and 43% exhibiting poor glycemic control (hemoglobin A1c >9%). Insulin therapy was used by 76.4% of participants, including two individuals with Type 1 diabetes using AID systems. Most participants reported no recent hypoglycemia (76.4%), 81.0% performed glucose monitoring, and 3.3% used CGM. Severe comorbidities were uncommon, with 1.1% having unstable macrovascular disease and 4.4% advanced chronic kidney disease (estimated glomerular filtration rate <30). Notably, 72.2% received structured Ramadan education. Conclusion Majority of PwD attending tertiary diabetes clinics were in the moderate- to high-risk category and intended to fast despite medical advice against fasting in some cases. Although most participants were on insulin therapy, hypoglycemia was low in the pre-Ramadan period. Integration of modern technologies, advanced insulin therapies, and structured education may support safer fasting practices.
Risk Assessment ; Diabetes Mellitus ; Hospitals ; Fasting

Introduction: Palpation thyroiditis is an underrecognized condition that occurs after parathyroidectomy. Symptoms range from mild to overt thyrotoxicosis that may result in lifethreatening cardiac arrhythmias and acute coronary syndrome. Diagnosis is made by having suppressed thyroid-stimulating hormone (TSH) and elevated free thyroxine 4 (fT4) or free thyroxine 3 (fT3) and low radionuclide uptake on thyroid scan. Case: We report a case of a 72-year-old female with underlying end-stage renal disease on regular hemodialysis who underwent total parathyroidectomy for tertiary hyperparathyroidism. Her thyroid function test (TFT) preoperatively was normal, and cardiac assessment showed normal echocardiogram findings and sinus rhythm on electrocardiogram. Her operation was uncomplicated, involving neck exploration and all 4-gland removal. Postoperatively, she had new-onset atrial fibrillation (AF) with rapid ventricular response at day 5, requiring electrical and chemical cardioversion. She had recurrent tachyarrhythmias on day 6. Her repeated TFT showed suppressed TSH, 0.036 mIU/L (NR 0.38–5.33) and raised fT4, 35.4 pmol/L (NR 7.9–14.4), fT3–fT4 ratio 0.26 (<0.3), consistent with thyrotoxicosis. She was treated as thyroid storm (Burch-Wartofsky Point Scale 45), after ruling out other causes. She was started on glucocorticoids, propylthiouracil, and Lugol’s iodine. Despite biochemical improvement, she continued to develop recurrent AF up till Day 12 post-op, requiring multimodal treatment, including beta-blocker and antiarrhythmic agents. She was later discharged well on low-dose carbimazole. Her ultrasound neck showed a normal thyroid gland, and her thyroid antibodies were negative. Conclusion A high level of suspicion is needed to detect thyroiditis post-parathyroidectomy due to its potential adverse impact on surgical outcomes. Treatment is mainly symptomatic, and the disease is self-limiting. Risk factors identified include secondary/tertiary hyperparathyroidism and bilateral neck exploration that involves manipulation of the thyroid gland.

Objective Jejunal interposition is an important option for restoring gastrointestinal continuity in patients with complex esophageal cancer in whom the stomach is unavailable for reconstruction due to previous gastrectomy, tumor involvement, failed gastric conduit, or other constraints. Although the jejunum offers a caliber similar to the esophagus, a rich blood supply, and preserved peristaltic function, anatomical variations in mesenteric length and vascular arcades render long-segment and high-level reconstruction susceptible to excessive tension, mesenteric torsion, venous congestion, and inadequate distal perfusion. This consensus aims to provide standardized recommendations for the application of jejunal interposition in this specific patient population. Methods This consensus was developed in accordance with the WHO Handbook for Guideline Development and Chinese national guideline development standards, with reference to the Appraisal of Guidelines for Research & Evaluation Ⅱ(AGREE Ⅱ), Reporting Items for Practice Guidelines in Healthcare (RIGHT), and Scientific, Transparent and Applicable Rankings (STAR) checklists. The project was registered on the international practice guidelines registry platform (PREPARE-2026CN1384). The working group systematically searched Chinese and English evidence addressing 12 clinical questions. Evidence was graded using the Oxford Centre for Evidence-Based Medicine (OCEBM) 2009 system, with structured appraisal of risk of bias, inconsistency, indirectness, and imprecision. Recommendations were formulated through two rounds of Delphi surveys and a face-to-face consensus meeting, with an agreement threshold of ≥75%. Results The consensus generated 12 recommendations covering indications, selection between jejunum and colon, preoperative assessment, surgical approach and reconstruction route, pedicled jejunal interposition (PJI), supercharged pedicled jejunal interposition (SPJ), indocyanine green (ICG) perfusion assessment, perioperative nutrition, management of anastomotic leakage, long-term follow-up, and special treatment scenarios. Given that the available direct evidence is predominantly derived from single-center retrospective cohorts and case series, recommendations extrapolated from general esophagectomy or other gastrointestinal surgical evidence are deliberately phrased with caution. Conclusion Jejunal interposition is a safe and effective approach for digestive tract reconstruction in patients with complex esophageal cancer in whom the stomach is unavailable. This consensus emphasizes that clinical decision-making should be individualized based on the patient's prior treatment history, reconstruction height, vascular anatomy, technical availability, and institutional experience in the Chinese context.

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.

Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.

Objective To investigate the levels and clinical significance of microRNA(miR)-17-5p and miR-141-3p in the serum of children with bacterial meningitis(BM).Methods A total of 111 children with BM ad-mitted to the First Affiliated Hospital of Xinjiang Medical University from May 2019 to May 2022 were in-cluded as the study group,and another 111 healthy children who underwent physical examinations were in-cluded as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)was used to measure the ex-pression levels of serum miR-17-5p and miR-141-3p.Pearson correlation was used to analyze the correlation between serum miR-17-5p,miR-141-3p levels and inflammatory factors in children with BM.Multivariate Lo-gistic regression was applied to analyze the influencing factors of BM occurrence.Receiver operating character-istic(ROC)curve was applied to analyze the diagnostic value of miR-17-5p and miR-141-3p levels for BM.Re-sults The serum levels of miR-17-5p and miR-141-3p in the study group were obviously lower than those in the control group(P＜0.05),while the serum levels of C-reactive protein(CRP),procalcitonin(PCT),inter-feron-γ(IFN-γ),tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,and IL-6 in the study group were high-er than those in the control group(P＜0.05).According to Pearson correlation analysis,miR-17-5p and miR-141-3p were negatively correlated with CRP,PCT,IFN-γ,TNF-α,IL-1β,and IL-6(P＜0.05).According to multivariate Logistic analysis,CRP,PCT,IFN-γ,TNF-α,IL-1β,and IL-6 were risk factors affecting the occur-rence of BM(P＜0.05),while miR-17-5p and miR-141-3p were protective factors affecting the occurrence of BM(P＜0.05).According to the ROC curve,the area under the curve(AUC)of serum level of miR-17-5p for diagnosing BM was 0.756,and the AUC of serum level of miR-141-3p for diagnosing BM was 0.720.The AUC of the combination of the two for diagnosing BM was 0.819,which was larger than that of single detec-tion(Zcombination vs.miR-17-5p=2.278,Zcombination vs.miR-141-3p=2.425,P＜0.05).Conclusion The expression levels of miR-17-5p and miR-141-3p in the serum of children with BM are reduced.The two are related to the levels of inflammatory factors,and their combined detection has a high diagnostic value for BM.