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.

Idiopathic pulmonary fibrosis (IPF) is a progressive disease lacking effective therapy. Metformin, an antidiabetic medication, has shown promising therapeutic properties in preclinical fibrosis models; however, its precise cellular targets and associated mechanisms in fibrosis resolution remain incompletely defined. Most research on metformin's effects has focused on mesenchymal and inflammatory responses with limited attention to epithelial cells. In this study, we utilized Sftpc lineage-traced and Fgfr2b conditional knockout mice, along with BMP2/PPARγ and AMPK inhibitors, to explore metformin's impact on alveolar epithelial cells in a bleomycin-induced pulmonary fibrosis model and cell culture. We found that metformin increased the proliferation and differentiation of alveolar type 2 (AT2) cells, particularly the recently identified injury-activated alveolar progenitors (IAAPs)-a subpopulation characterized by low SFTPC expression but enriched for PD-L1. Single-cell RNA sequencing revealed a reduction in apoptosis among mature AT2 cells. Interestingly, metformin's therapeutic effects were not significantly affected by BMP2 or PPARγ inhibition, which blocked the lipogenic differentiation of myofibroblasts. However, Fgfr2b deletion in Sftpc lineage cells significantly impaired metformin's ability to promote fibrosis resolution, a process linked to AMPK signaling. In conclusion, metformin alleviates fibrosis by directly activating AT2 cells, especially the IAAPs, through a mechanism that involves AMPK and FGFR2b signaling, but is largely independent of BMP2/PPARγ pathways.

OBJECTIVE: To precise classify sacral meningeal cysts, effective guide minimally invasive neurosurgery and postoperative personalized rehabilitation by multiple dimensions radiographic reconstruction MRI. METHODS: From March to December 2021, based on the original 3D-fast imaging employing steadystate acquisition (FIESTA) scanning sequence, 92 patients with sacral meningeal cysts were pre-operatively evaluated by multiple dimensional reconstruction MRI. The shape of nerve root and the leakage of cyst were reconstructed according to the direction of nerve root or leakage track showed on original MRI scans. Sacral canal cysts were accurately classified as including nerve root and without nerve root, so as to accurately design the incision of skin and formulate corresponding open range of the posterior wall of the sacral canal. Under the microscope intraoperation, the shape of the nerve roots inside cysts or leakage track of the cysts without nerve roots were verified and explored. After the reinforcement and shaping operation, several reexaminations of multiple dimensional reconstruction MRI were performed to understand the deformation of the nerve root and hydrops in the operation cavity, so as to formulate a persona-lized rehabilitation plan for the patients. RESULTS: Among the 92 patients with sacral mengingeal cyst, 58 (63.0%) cysts with nerve root cyst, 29 (31.5%) cysts without nerve root cyst, and 5 (5.4%) cysts with mixed sacral canal cyst. In 58 patients with nerve root cysts, the accuracy of preoperative clinical classification on MRI image reached 96.6% (56/58) through confirmation by operating microscope. Only 2 cases of large single cyst with nerve root on the head of cyst were mistaken for without nerve root type. In 29 patients with sacral cyst without nerve root, the accuracy of preoperative image reached 100% through confirmation by operating microscope. The accuracy of judging the internal nerve root and leakage of 12 cases with recurrent sacral cyst was also 100%. Two cases of delayed postoperative hydrops were found one month after operation. After rehabilitation treatment by moxibustion and bathing, the hydrops disappeared 4-6 months after operation. CONCLUSION Multiple dimensional reconstruction MRI can precisely make clinical classification of sacral meningeal cysts before operation, guide minimally invasive neurosurgery effectively, and improve the rehabilitation effect.
Humans ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Sacrum/surgery* ; Adult ; Middle Aged ; Imaging, Three-Dimensional/methods* ; Cysts/rehabilitation* ; Aged ; Adolescent ; Young Adult ; Spinal Nerve Roots/diagnostic imaging* ; Minimally Invasive Surgical Procedures ; Neurosurgical Procedures/methods*

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective:To study the application value of analytic hierarchy process(AHP)-risk analysis management strategy in management for medical equipment of hospital,so as to improve utilization efficiency of equipment.Methods:A decision model of managing equipment was established by adopting AHP-risk analysis management strategy,and Entropy method was used to optimize and improve the combined weight of AHP algorithm,so as to obtain the comprehensive weight of classification decision for medical equipment.The equipment was classified into high risk,second highest risk,medium risk,second lowest risk and low risk to receive different management strategy.A total of 103 medical equipment in clinical use at People's Hospital of Xinjiang Uygur Autonomous Region from January 2023 to February 2024 were selected,and the conventional management method was adopted to manage these equipment during January 2023 and July 2024,and AHP-risk analysis management strategy was adopted to manage them during August 2023 and February 2024.The differences of the management effects of medical equipment in clinical use,and technical support for equipment between two management methods were compared.Results:The average use rate,rate of growth amplitude of cost-effectiveness,and rate of growth amplitude of social benefit of equipment of using the AHP risk analysis management method were respectively(95.34±3.75)%,(7.65±2.18)%,and(10.81±2.42)%,all of which were higher than those of the conventional management method.However,the average relative operating rate and relative turnover rate of using the AHP risk analysis management method were respectively(9.26±2.46)%and(10.63±2.07)%,all of which were lower than those of the conventional management method,and the differences were statistically significant(t=9.223,24.681,17.813,15.764,18.873,P<0.05).The average self-repair rate,upgrade efficiency,and coincidence rate of scrapping equipment of using the AHP-risk analysis management method were respectively(91.54±4.25)%,(94.52±3.77)%,and(93.53±4.72)%,all of which were higher than those of the conventional management method.However,the average failure rate of that was(0.74±0.38)%,which was lower than the average failure rate of the conventional management method,and the differences of them were statistically significant(t=8.445,9.624,14.046,22.794,P<0.05).Conclusion:The AHP-risk analysis management strategy can improve the management effect of clinical use of medical equipment,and the technical support for medical equipment,and enhance usage and maintenance efficiency of equipment,and achieve refined management for medical equipment.

Objective To investigate the correlation of vascular senescence indicators,brachial-ankle pulse wave velocity(baPWV),cardio-ankle vascular index(CAVI),ankle-brachial index(ABI)with total burden of MRI in patients with cerebral small vessel disease(CSVD).Methods A total of 200 CSVD patients admitted to our hospital from November 2023 to October 2024 were retrospectively recruited,and based on their total MRI burden,they were divided into a low-burden group(score:0-1,103 cases)and a high-burden group(score:2-4,97 cases).A athero-sclerosis monitoring device(VS-1500A)was used to detect baPWV,CAVI,and ABI values.The relationships of the three indicators with total MRI burden score and their predictive values for the burden score were analyzed.Results The high-burden group had significantly higher BMI,el-evated homocysteine and uric acid levels,and increased baPWV and CAVI,but lower ABI than the low-burden group(P＜0.01).Multivariate logistic analysis showed that baPWV,CAVI and ABI were independent influencing factors for high MRI burden of CSVD patients.Spearman correlation analysis showed that baPWV and CAVI values were positively correlated(r=0.589,P=0.000;r=0.458,P=0.000),and ABI was negatively correlated with the total MRI burden score of CSVD patients(r=-0.352,P=0.000).ROC curve analysis showed that baPWV(AUC=0.816,P=0.000),CAVI(AUC=0.725,P=0.000)and ABI(AUC=0.676,P=0.000)were all predic-tors for high MRI burden score in CSVD patients.Conclusion baPWV and CAVI are positively,and ABI is negatively correlated with the total MRI burden score of CSVD patients.baPWV,CAVI and ABI show higher predictive value for the high burden score,with baPWV most significant.

Objective:To investigate the clinicopathological characteristics of adamantinomatous craniopharyngioma (ACP) and papillary craniopharyngioma (PCP).Methods:A total of 71 cases craniopharyngioma, included 52 cases of ACP and 19 cases of PCP, diagnosed at the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, China from September 2019 to November 2023 were collected. Clinical pathological data were analyzed, immunohistochemical staining was performed, and mutations in the CTNNB1 and BRAF V600E genes were examined to identify differences between ACP and PCP.Results:The ACP cohort comprised 27 male and 25 female patients, with an age at onset ranging from 6 to 70 years, mean age (42.0±18.3) years. In contrast, the PCP group included 15 males and 4 females, with an age at onset spanning 28 to 74 years, mean age (51.0±13.3) years. The ACP group more commonly showed calcifications on imaging than the PCP group [92.3% (48/52) versus 11/19]. Partial tumor resection and the maximum diameter of the tumor were important factors affecting the recurrence of ACP. Whorled cell clusters, wet keratinization, stellate reticulum, cysts, and calcification were more often seen in ACP than PCP ( P<0.05). Immunohistochemically, all (100%,52/52) of the ACP showed nuclear β-catenin expression, with varying degrees of expression in the nodular whorls, and scattered cytoplasmic β-catenin expression. The BRAF V600E expression was found in the cytoplasm of all (19/19) PCP cases, but only non-specific BRAF V600E nuclear positivity was observed in ACP cases. Molecular testing showed that the mutation rate of the CTNNB1 gene in ACP was 22.7% (5/22), and the mutation rate of the BRAF V600E in PCP was 19/19. Conclusions:ACP and PCP have different age at onset, radiological features, histopathological morphology, and genetic alterations. Proper use and interpretation of immunohistochemical results can help distinguish between ACP and PCP, while molecular testing can be used as an auxiliary diagnostic modality.

Objective:To explore the clinical phenotype and genetic characteristics of a pediatric child with RELA-associated autoinflammatory disease (RAID) caused by a RELA gene variant, and to review the reported cases in the literature. Methods:A pediatric child with RAID who presented with recurrent fever, vomiting, and oral ulcers for over 5 years was selected as the study subject. The child visited the Women and Children′s Hospital of Ningbo University in August 2023. Clinical data were collected, and peripheral blood samples were obtained from the child and his family members for whole exome sequencing (WES) and Sanger sequencing to identify and validate candidate variants. The pathogenicity of the variants was analyzed accordingly. Using the keywords " RELA" " NF-κB" " autoinflammatory disease" " tofacitinib" " sulfasalazine" a literature search was conducted in the China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and PubMed from January 1, 2000 to December 13, 2023. This study was approved by the Medical Ethics Committee of the Women and Children′s Hospital of Ningbo University (Ethics No. EC2020-048).Results:① The child primarily manifested with recurrent fever, vomiting, and oral ulcers. ② WES identified a heterozygous nonsense variant c. 985C>T (p.Arg329Ter) in the RELA gene, which was inherited from the mother. According to the American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines for the Interpretation of Sequence Variants and the Clinical Genome Resource (ClinGen) recommendations for PVS1, this variant was classified as pathogenic (PVS1+ PM2_Supporting+ PP4). ③ Despite treatment with adalimumab and tocilizumab, the child′s symptoms persisted. Switching to tofacitinib improved oral ulcers, but fever and vomiting continued. The addition of thalidomide significantly alleviated fever and vomiting, and the patient′s growth and development remained normal. ④ A literature review identified 14 unrelated RAID families, including a total of 35 cases (including the present child). The main clinical features were recurrent oral ulcers, genital ulcers, skin problems, fever, diarrhea, abdominal pain, and vomiting. Conclusion:The nonsense variant c. 985C>T (p.Arg329Ter) in the RELA gene is likely the genetic cause of the child′s recurrent fever, vomiting, and oral ulcers. WES is valuable for timely diagnosis of RAID and provides a basis for clinical treatment strategies.

Objective:To investigate the clinical phenotypes and genetic variant characteristics in children with epilepsy.Methods:A total of 91 children with epilepsy admitted to the Women′s and Children′s Hospital Affiliated to Ningbo University from July 2021 to October 2022 were selected as the study subjects. Peripheral blood samples were collected from the children for whole exome sequencing. Candidate genetic variants were validated by Sanger sequencing and copy number variation sequencing (CNV-seq). The clinical phenotypes and treatment outcomes of the children with epilepsy were followed up, and an analysis of the relationship between genotype and phenotype was conducted. This study was approved by the Women′s and Children′s Hospital Affiliated to Ningbo University (Ethics No.: EC2020-048).Results:Among the 91 children with epilepsy, 21 cases (23.08%, 21/91) were found to carry pathogenic or likely pathogenic variants. Of these, 18 cases had involved single base variant or insertional deletion, while 3 cases involved copy number variations. The gene with the highest detection rate was PRRT2 (38.10%, 8/21). Among the children with genetic variants, 47.62% (10/21) had onset during infancy, with 8 diagnosed with Benign familial infantile epilepsy (BFIE), 8 with Developmental epileptic encephalopathy (DEE), and 3 with Epileptic encephalopathy (EE). One case of Dravet syndrome (DS) and one case of Infantile spasms (IS) were also noted. The clinical manifestations of children were diverse and primarily included generalized tonic-clonic seizures and focal seizures. Among them, 52.38% (11/21) had exhibited cluster seizures, 23.81% (5/21) showed fever sensitivity, and 14.29% (3/21) experienced status epilepticus. After pharmacological treatment, 42.86% (9/21) of children had achieved complete seizure control, while 61.90% (13/21) had intellectual disability and 19.05% (4/21) had co-morbid autism spectrum disorder. Conclusion:Pathogenic or likely pathogenic variants were identified in 23.08% of the pediatric epilepsy cases, with the PRRT2 gene being the most frequently involved. Among children carrying genetic variants, 47.62% had seizure onset during infancy. Genetic factors are an important cause of epilepsy, and early genetic testing may facilitate precise diagnosis, treatment, and prognostic evaluation.

Objective:To provide preimplantation genetic testing (PGT) for a patient with Incontinentia pigmenti (IP) due to IKBKG gene variant but without family samples through construction of single nucleotide polymorphism (SNP)-based haplotype by Long-read sequencing (LRS) technology. Methods:A female IP patient with a heterozygous IKBKG c. 1167dup variant but without family genetic data who sought genetic counseling at Women and Children′s Hospital of Ningbo University in November 2021 was selected as the study subject. The IKBKG gene has a highly homologous pseudogene IKBKGP1. Genomic DNA was extracted from peripheral blood samples from the couple, and LRS was used to obtain informative SNP loci flanking the variant locus, enabling the construction of SNP haplotype with a long segment spanning from the non-homologous region of IKBKG to the variant site. Trophoblast cells were biopsied from blastocysts fertilized through intracytoplasmic sperm injection, and next-generation sequencing (NGS) was used to determine the SNP information of the embryos. Linkage analysis with the parental SNP haplotypes was conducted to detect the carrier status of the embryos and exclude chromosomal aneuploidies. Sanger sequencing was carried out to validate the result. A euploid embryo without the pathogenic variant was selected for transfer. Prenatal diagnosis was carried out by amniocentesis at mid-trimester to verify the result of PGT, and follow-up was conducted after the baby was born. This study has been approved by the Ethics Committee of the Women and Children′s Hospital of Ningbo University (Ethics No. EC2023-094). Results:In total seven blastocysts were tested, and PGT results indicated that two embryos were euploid and did not carry the pathogenic variant. One euploid embryo was transferred, which resulted in a singleton pregnancy. Amniocentesis at 24 weeks of gestation confirmed that the status of fetal IKBKG gene, and its chromosomal status was consistent with the PGT results. A healthy male infant was born at 38 + 6 weeks of gestation. Conclusion:For IP patients with de novo mutation or without family samples, PGT with LRS can directly construct the SNP-based haplotype while avoiding interference from pseudogenes, providing an effective strategy for PGT.