Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder primarily caused by pathogenic variants in the TSC1 or TSC2 genes. It is characterized by multisystem hamartomatous lesions and neuropsychiatric manifestations. Here we report a young male patient with TSC involving multiple organs, caused by a heterozygous frameshift mutation in TSC2 (c.2071delC, p.Arg691Alafs^*7). The patient initially presented with classic facial angiofibromas and hypomelanotic macules, and subsequently developed psychiatric and behavioral disturbances with auditory hallucinations. Neuroimaging revealed an intracranial mass lesion, which was confirmed as a subependymal giant cell astrocytoma on postoperative histopathology following surgery performed at an outside institution. After admission, the patient underwent a comprehensive diagnostic workup, and multidisciplinary treatment evaluation revealed extensive multisystem involve-ment, including the nervous system, skin, kidneys, lungs, heart, eyes, pancreas, liver and bones. Combined with relevant literature, this article discusses the molecular mechanisms, clinical phenotypes, and comprehensive management of TSC, in order to provide a reference for the standardized and individualized management of this disease.

Objective To develop and validate a model to predict the risk of radiation-induced lung injury (RILI) and assess its clinical feasibility. Methods Clinical data from 125 patients with non-small cell lung cancer (NSCLC) were included in the study. The patients were divided into training group (88 cases) and validation group (38 cases). Key predictive factors were identified using univariate and multivariate logistic regression analyses combined with least absolute shrinkage and selection operator (LASSO) regression. A predictive model was constructed and evaluated using a nomogram, receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results The key variables identified by the model were tumor volume (P = 0.017), Eastern Cooperative Oncology Group performance status score (P = 0.035), 95% of the minimum dose to the target volume (P = 0.028), percentage of bilateral lung volume receiving 20 Gy of radiation (P < 0.001), and neutrophil-to-lymphocyte ratio (P = 0.021). The ROC curve showed that the areas under the curve (AUC) for the model in the training and validation groups were 0.987 and 0.992, respectively, indicating good predictive ability. The calibration curve and decision curve further confirmed the accuracy and clinical practicability of the model. Conclusion The predictive model proposed in this study can accurately assess the risk of developing RILI in patients with NSCLC who have undergone radiotherapy, demonstrating its potential value in clinical practice.

BACKGROUND:Previously,a SENP1 gene-silenced human alveolar epithelial cell line was successfully constructed in vitro,and the role of SENP1 in hyperoxic lung injury was investigated at the cellular level.OBJECTIVE:To construct a mouse model of alveolar type II epithelial cell-specific knockout of SENP1 gene based on the Cre-loxP recombinase system.METHODS:SENP1flox/-mice were self-crossed to obtain SENP1flox/flox and SENP1flox/-mice;Sftpc-Cre+/+mice were crossed with wild-type mice to obtain more Sftpc-Cre+/-mice.Sftpc-Cre+/+or offspring Sftpc-Cre+/-mice were crossed with SENP1flox/-or offspring SENP1flox/flox mice to obtain SENP1flox/-Sftpc-Cre+/-double heterozygous mice.SENP1flox/-Sftpc-Cre+/-mice were then crossed with SENP1flox/flox mice to obtain SENP1flox/floxSftpc-Cre+/-mice.The genomic DNA was extracted by tail clipping and amplified by PCR.The amplified product was subjected to agarose gel electrophoresis to determine the mouse genotypes.Lung tissues of SENP1flox/flox and SENP1flox/floxSftpc-Cre+/-mice were subjected to immunofluorescence double-labelling and western blot assay to verify the knockdown effect of SENP1 gene.Heart,liver,lung and kidney tissues of SENP1flox/flox and SENP1flox/floxSftpc-Cre+/-mice were stained with hematoxylin-eosin to observe the histomorphology of each organ in the two groups of mice.RESULTS AND CONCLUSION:SENP1flox/floxSftpc-Cre+/-mice were correctly screened by agarose gel electrophoresis.Immunofluorescence double-labeling experiments showed that the mean fluorescence intensity of SENP1 was reduced in lung tissues of SENP1flox/floxSftpc-Cre+/-mice compared with that of SENP1flox/flox mice(P<0.01)and no significant co-localization of SENP1 and Sftpc was observed(P<0.01).Western blot results showed that SENP1 protein expression was reduced in lung tissues of SENP1flox/floxSftpc-Cre+/-mice compared with SENP1flox/flox mice(P<0.001).Hematoxylin-eosin staining showed no significant alterations in the histomorphology of heart,liver,lung and kidney tissues in SENP1flox/flox and SENP1flox/floxSftpc-Cre+/-mice.This study successfully constructed alveolar type II epithelial cell-specific knockout SENP1 gene mice using the Cre-loxP recombinase system,which provides a good tool for the subsequent study of the role of SENP1 gene in lung diseases such as bronchopulmonary dysplasia and idiopathic pulmonary fibrosis,in which alveolar type II epithelial cells are the main damage cells.

Objective:A prognosis prediction model for pancreatic cancer was constructed based on multi-scale radiomics combined with deep learning, and the prediction effect of the model was evaluated.Methods:A retrospective analysis was conducted on the clinical data of 215 patients who underwent radical resection of pancreatic cancer at the First Affiliated Hospital of Naval Medical University from January 2017 to December 2017. Among them, 134 were male and 81 were female, with an age of (61.9±9.2) years. Patients were randomly divided into the training set ( n=151) and the test set ( n=64) in a ratio of 7: 3. Habitat features, peritumoral radiomics features, 3D radiomics features, and 2.5D deep learning features were extracted from preoperative CT images respectively. After feature screening, a survival prediction model was constructed using the CoxBoost machine learning algorithm that integrated the Boosting algorithm and the Cox proportional hazards model. The performance of the model was evaluated using the area under the time-dependent receiver operating characteristic curve and the consistency index. The clinical benefits of the model were evaluated using decision curve analysis. The survival curves were plotted using the Kaplan-Meier method, and the log-rank test was used for the comparison of survivals between groups. Results:The LASSO, random forest and extreme gradient boosting models were each used to screen out the top 10 most important features and take the union, ultimately obtaining 20 radiomics features for modeling. In the training set and test set, the consistency index of the CoxBoost model in predicting overall survival was 0.717 (95% CI: 0.669-0.765) and 0.688 (95% CI: 0.610-0.766), respectively, and the area under the curve for predicting overall survival at 1, 2, and 3 years after surgery was 0.830 (95% CI: 0.752-0.898), 0.753 (95% CI: 0.665-0.833), 0.828 (95% CI: 0.735-0.908) and 0.690 (95% CI: 0.549-0.824), 0.780 (95% CI: 0.649-0.887 and 0.793 (95% CI: 0.660-0.897), respectively. The area under the curve for predicting long-term survival after surgery (≥40 months) was above 0.8. Based on the optimal cutoff value of -0.19 for the predicted value of the CoxBoost model calculated by the R package " survminer", the patients were divided into high-risk (predicted value >-0.19) and low-risk (predicted value <-0.19) groups. In both the training set and the test set, the survival of patients in the low-risk group was better than that in the high-risk group (training set: χ2=39.01, P<0.001; test set: χ2=12.34, P<0.001). The median survival period of patients in the high-risk group was lower than that in the low-risk group (training set: 15.80 vs 34.07 months; test set: 16.87 vs 43.07; months). Decision curve analysis shows that patients obtain survival benefit when the threshold probability of the training set is greater than 0.25 and that of the test set is greater than 0.45. Conclusion:The CoxBoost model has a good predictive ability for the overall survival of pancreatic cancer patients after surgery and can effectively screen out patient subgroups that may significantly benefit from surgical treatment.

Objective:To construct a combined prediction model based on dual-layer detector spectral CT radiomics features and quantitative parameters, and to evaluate its value in preoperative prediction of serosal invasion in gastric cancer.Methods:This case-control study retrospectively analyzed data from 253 gastric cancer patients confirmed by postoperative pathology at the First Affiliated Hospital of Soochow University (Center 1) and Changshu No.2 People′s Hospital (Center 2) from January 2022 to December 2023. Patients from Center 1 ( n=157) were randomly divided into training set ( n=110) and test set ( n=47) in a 7∶3 ratio, while patients from Center 2 ( n=96) served as an external validation set. Based on postoperative pathological serosal invasion status, patients were classified into serosal invasion group ( n=164) and non-serosal invasion group ( n=89), with distributions of 70/40, 30/17, and 64/32 in the training, test, and external validation sets, respectively. Spectral CT quantitative parameters, including arterial and venous phase iodine concentration (IC), normalized iodine concentration (NIC), arterial-venous IC differences, arterial-venous NIC differences (NIC pa), arterial enhancement fraction (AEF), and effective atomic number (Z eff), were measured. Radiomics features were extracted from venous-phase 40 keV monochromatic images. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature selection. The logistic regression classifier (LR-LASSO) was applied to construct the radiomics model. Univariate and multivariate logistic regression analyses identified independent risk factors for serosal invasion, including the radiomics signature (RadScore) and quantitative parameters. A clinical model was built using significant quantitative parameters, and a combined model integrated RadScore. An artificial model was based on cT4 staging assessed by two radiologists using venous-phase CT. The diagnostic performance of each model was evaluated using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA). Results:A total of six radiomics features were selected to establish the radiomics model. RadScore ( OR=7.598, 95% CI 2.259-25.562, P=0.001) and NIC pa ( OR=4.598, 95% CI 1.404-15.050, P=0.012) served as independent risk factors. The NIC pa served as the clinical model. The AUCs (95% CI) of the combined model in the training, test, and external validation sets were 0.984 (0.969-1.000), 0.855 (0.728-0.982), and 0.773 (0.665-0.882), respectively. The AUCs of the artificial model were 0.741, 0.670, 0.644; of the clinical model were 0.709, 0.633, 0.626. The AUCs of the radiomics model were 0.963, 0.824, 0.741, respectively. Calibration curves showed good agreement between predicted probability and observed probability. The DCA confirmed higher clinical net benefits for the combined model. Conclusion:The combined model integrating dual-layer detector spectral CT radiomics features and quantitative parameters exhibits high efficacy for preoperative prediction of gastric cancer serosal invasion.

Objective:To observe the color Doppler flow imaging (CDFI) features of vitreoretinal lymphoma (VRL).Methods:Retrospective case series. From January 2022 to December 2024, 71 eyes of 42 patients diagnosed with VRL at the Eye Center of Beijing Tongren Hospital were enrolled. Among them, 17 were male and 25 female; 29 had bilateral and 13 unilateral involvement. Age ranged 17-78 years (median 59 years). Eleven cases had histopathologic confirmation and 31 were clinically diagnosed. All patients underwent CDFI and optical coherence tomography (OCT). CDFI findings were analyzed, noting the presence or absence of vitreous opacities (centrifugal distribution), posterior vitreous detachment (PVD), retinal detachment, and retinal elevated lesions. With Doppler overlay, blood flow within retinal lesions was assessed. The χ 2 test was used to compare the detection rates of retinal lesions by CDFI and OCT, while Cohen’s Kappa assessed agreement in identifying the depth of lymphoma cell infiltration. Results:Among 71 eyes, vitreous opacity occurred in 66 eyes (93.0%, 66/71), of which 40 eyes (60.6%, 40/66) showed centrifugal opacity. 58 eyes (81.7%, 58/71) had posterior vitreous detachment. Retinal detachment occurred in 7 eyes (9.9%, 7/71). Retinal occupying lesions occurred in 23 eyes (32.4%, 23/61), of which 15 eyes (65.2%, 15/23) showed blood flow signals on the surface of the lesions but no blood flow signals inside the lesions by CDFI, and OCT showed that tumor cells gathered under the retinal pigment epithelium. CDFI showed blood flow signals inside the lesions in 8 eyes (34.8%, 8/23), and OCT showed that tumor cells gathered between retinal neuroepithelial layers. The lesion detection rate of OCT (69.6%, 16/23) was significantly lower than that of CDFI (100.0%, 23/23) ( χ 2= 6.066, P=0.014). OCT and CDFI showed perfect agreement in determining the depth of tumor cell infiltration (Kappa=1.0). Conclusions:The ultrasonographic manifestations of VRL include vitreous opacity, PVD, and some retinal occupying lesions. Vitreous opacity often presents a characteristic centrifugal distribution. By observing whether there is blood flow signal in retinopathy using Doppler, the level of lymphoma cell infiltration can be suggested.

Objective:To establish a portable gastrointestinal endoscopy telemedicine platform that enables the real-time transmission of endoscopy audio and video data to the consulting physicians through 5G communication technology, and to evaluate the effectiveness of this platform.Methods:From October 10 to October 20, 2023, 30 cases (16 cases from Sanya, Hainan Province, and 14 cases from Zhanjiang, Guangdong Province) from primary health institutions were selected for portable gastrointestinal endoscopy telemedicine consultations with a tertiary hospital in Shanghai. 5G network transmission parameters were recorded, and the lesion detection rate of the examination side and the consultation side, as well as the quality of the videos and images were compared.Results:The 5G network transmission parameters for telemedicine from Sanya and Zhanjiang to Shanghai included download network speeds of 168.3 Mbps and 160.4 Mbps, upload network speeds of 75.1 Mbps and 72.4 Mbps, and delays of 28 ms and 25 ms, respectively. There was no significant difference in the lesion detection rate [43.3% (13/30) VS 36.7% (11/30), χ2=0.792, P=0.598] between the physicians on the examination side and the consultation side. The endoscopic video quality (2.92±0.59 points VS 2.88±0.64 points, t=0.302, P=0.763) and picture quality (3.10±0.57 points VS 3.05±0.53 points, t=0.424, P=0.622) were compared by two senior endoscopists between the examination side and the consultation side, indicating no significant difference. Conclusion:The utilization of portable gastrointestinal endoscopy for telemedicine based on 5G network technology is effective in enabling telemedicine consultations and providing operational guidance. This approach enhances the procedural skills and diagnostic capabilities of physicians in primary healthcare settings, facilitating the equitable distribution of high-quality medical resources.

Objective:To explore the clinical characteristics, diagnosis, and treatment of chylous pleural effusion caused by liver cirrhosis.Methods:The clinical data of 19 cases of liver cirrhosis complicated with chylous pleural effusion admitted at Department of Lymphatic Surgery, Beijing Shijitan Hospital from Jun 2013 to Oct 2022 was retrospectively analyzed.Results:There were 12 males (63.2%) and 7 females (36.8%).Ten cases (52.6%) had right chylothorax, and 9 cases (47.4%) had bilateral chylothorax; Seventeen cases (89.5%) had concurrent ascites. Chest fluid examination: 3 cases were milky white (16%), 10 cases were yellow white (53%), 4 cases were orange yellow (21%), and 2 cases were pink (10%).There were 2 cases of exudate and 17 cases of transudate. By radionuclide lymphatic imaging, 9 cases showed increased radiation in the right chest cavity; One case showed increased radiation in the left chest cavity; Five cases showed bilateral chest radiation elevation. By lymphangiography,11 cases showed complete visualization of the thoracic duct, of which 10 cases showed obstruction at the outlet of the thoracic duct. The 10 patients underwent surgical treatment for the release of adhesions at the end of the thoracic duct, and the postoperative result was good. Six patients died during follow-up.Conclusions:Cirrhosis combined with chylous pleural effusion is rare in clinical practice and prognosis is poor. The laboratory examination of pleural effusion is an important basis for determining chylous pleural effusion. The lysis of adhesions at the end of the thoracic duct has a certain therapeutic effect on patients with lymphangiography indicating thoracic duct outlet obstruction.

Objective:To investigate the impact of tumor origin (ventral pancreatic origin and dorsal pancreatic origin) on prognosis in patients with pancreatic head cancer.Methods:A retrospective analysis was performed on the clinical data of 150 patients with pancreatic head cancer who received surgical treatment at the First Affiliated Hospital of the Naval Medical University from October 2014 to December 2017. Among these patients, 92 were male and 58 were female, aged (61.2±8.8) years. The 150 patients were divided into two groups based on tumor origin: the ventral pancreatic cancer group ( n=72) and the dorsal pancreatic cancer group ( n=78). A comparative analysis of clinical, pathological, and imaging charac-teristics was conducted between the two groups. Univariate and multivariable Cox proportional hazards models were used to analyze the association between pancreatic head cancer origin and overall survival (OS). Results:Patients with pancreatic head carcinoma arising from the ventral and dorsal pancreas accounted for 48%(72/150) and 52%(78/150) of the study cohort, respectively. Pancreatic head carcinoma arising from the dorsal pancreas were more likely to show pathological features of pancreatic parenchymal atrophy [73.1%(57/78) vs. 47.2%(34/72), χ2=10.49, P=0.001] and pancreatitis [44.9%(35/78) vs. 29.2%(21/72), χ2=3.95, P=0.047]. In contrast, patients with pancreatic head carcinoma arising from the ventral pancreas was more frequently associated with contact with the superior mesenteric artery [25.0%(18/72) vs. 1.3%(1/78), χ2=19.04, P<0.001], perineural invasion [100%(72/72) vs. 88.5%(69/78), χ2=8.84, P=0.003], and positive surgical margins [15.3%(11/72) vs. 2.6%(2/78), χ2=7.65, P=0.006], with all differences statistically significant. The ventral pancreatic cancer group demonstrated cumulative survival rates of 33.2% and 0 at 1-year and 2-year postoperative intervals, respectively, while the dorsal pancreatic cancer group exhibited rates of 56.7% and 24.8% at the corresponding timepoints. Comparison of Kaplan-Meier survival curves between the two groups showed a statistically significant difference ( χ2=6.00, P=0.014). Multivariable Cox proportional hazards analysis identified dorsal pancreatic origin pancreatic head cancer as an independent predictor of increased mortality risk compared to ventral origin tumors ( HR=2.75, 95% CI: 1.52-4.98, P=0.001). Conclusion:The embryonic origin of pancreatic head cancer determines its clinical, pathological, and imaging heterogeneity, and pancreatic head cancer arising from the ventral pancreas demonstrates significantly worse prognostic outcomes compared to dorsal pancreatic origin.

Objective To investigate the effect of different radiotherapy doses on the prognosis of patients with stage cT1-4N0M0 esophageal squamous cell carcinoma(ESCC)who received radical radio(chemo)therapy categorized into subgroups with different tumor local factors.Methods A retrospective analysis was conducted on 256 patients with clinically nonmetastatic esophageal squamous cell carcinoma.The optimal cutoff for tumor local factors was determined.The relationship between latest treatment efficacy and tumor local factors was analyzed,and independent indicators affecting patient overall survival(OS)were examined using multivariate analysis.The subgroup analysis was performed to determine the correlation between selected factors and radiation therapy doses.Results The shorter the X-ray length of esophageal tumor lesion and the smaller the lesion canal wall thickness and gross tumor volume(GTV),the better the latest treatment efficacy of the patients(χ2=9.066,10.310,15.661,respectively,P=0.011,0.006,P＜0.001).Multivariate analysis results showed that GTV(P＜0.001),radiation dose(P=0.038),and latest treatment efficacy(P＜0.001)were independent predictors of the patients'OS,and the latter two were also independent predictors of the patients'progression-free survival(PFS)(P=0.033,＜0.001).Subgroup analysis further showed that high doses of radiotherapy(over 60 Gy)resulted in good OS(χ2=5.040,4.588,5.400,P=0.025,0.032,0.020)and PFS(χ2=6.089,4.353,6.459,P=0.014,0.037,0.011)in the subgroup with maximum wall thickness below 3.7 cm,with esophageal lesions with GTV below 37.34 cm3,or not receiving simultaneous chemotherapy.Conclusion Local tumor factors are important prognostic factors of ESCC patients treated with radical radio(chemo)therapy.Patients with thin lesion walls and small tumor volumes may greatly benefit from high doses of radiation(over 60 Gy).