Objective To investigate the clinical value of tumor-stroma ratio (TSR) in combination with KRAS, BRAF, NRAS, and microsatellite status for prognostic assessment of patients with colorectal cancer. Methods A total of 51 colorectal cancer cases meeting the inclusion and exclusion criteria were enrolled in this study. TSR levels were evaluated through optical microscopy. The KRAS/NRAS/BRAF mutation profiles and microsatellite status were determined in accordance with genetic testing results. Clinical data, pathological characteristics, and survival outcomes were systematically recorded. Results Among the 51 patients with colorectal cancer, 19 (37.3%) were categorized into the low stromal group and 32 (62.7%) into the high stromal group. Statistically significant differences were observed between the two groups in drug resistance, M stage, TNM stage, neural invasion, and microsatellite status (P<0.05). Compared with patients exhibiting high TSR, those with low TSR demonstrated significantly increased recurrence rates (5 vs. 21 cases, P=0.007), shortened disease-free survival (34.21 vs. 14.34 months, P=0.001), and reduced overall survival (38.79 vs. 23.09 months, P=0.021). Multivariate Cox regression analysis identified N stage, M stage, TNM stage, neural invasion, lymphovascular invasion, and TSR as independent risk factors for disease-free survival. N stage, M stage, neural invasion, lymphovascular invasion, and TSR emerged as independent prognostic factors for overall survival (P<0.05). Although the combined models of TSR with KRAS, NRAS, BRAF, and microsatellite status, respectively, demonstrated overall statistical significance (P<0.05), none of the dummy variables in these models reached individually statistical significance (P>0.05), and therefore cannot be considered independent prognostic factors. Conclusion TSR serves as an independent predictor of poor prognosis in advanced colorectal cancer, with patients exhibiting low TSR demonstrating a significantly higher risk of recurrence and metastasis than those with high TSR. For patients with colon cancer undergoing first-line palliative chemotherapy after postoperative recurrence, histopathological assessment of TSR in primary tumor sites holds prognostic value and may serve as a relevant factor for evaluating treatment resistance in clinical management.

OBJECTIVE To investigate the clinical characteristics of drug-induced liver injury （DILI） induced by glucagon- like peptide-1 receptor agonists （GLP-1RAs）， and to provide a reference for safe clinical medication. METHODS Using search terms such as “GLP-1”“GLP-1RAs”“semaglutide” “drug-induced liver injury”， relevant studies from PubMed， Embase， the Cochrane Library， CNKI， Wanfang Data and VIP were retrieved. Descriptive analysis was performed on cases of DILI induced by GLP-1RAs. RESULTS A total of 11 studies， comprising 11 patients， were included. Among them， 4 were male （36.4%） and 7 were female （63.6%）. Patient ages ranged from 17 to 64 years； 5 patients （45.5%） were between 50 and 65 years old. Six patients were treated for diabetes， and five for weight loss. Ten patients had underlying diseases. The shortest time to the onset of DILI was 5 days after medication， while the longest was approximately 180 days. The DILIs induced by GLP-1RAs were mainly hepatocellular injury type （6 cases）； severity levels included severe （3 cases）， moderate （6 cases）， and mild （2 cases）. Gastrointestinal symptoms and jaundice were the most common clinical manifestations. The association between DILI and GLP- 1RAs was assessed as “probable” in 10 cases and “possible” in 1 case. All 11 patients improved after drug discontinuation and （or） corresponding treatment. CONCLUSIONS DILI induced by GLP-1RAs is relatively concentrated in patients aged 50-65， with a higher incidence in females. The risk may be further increased in patients with underlying diseases. Clinical use of these agents should enhance pharmaceutical care， including identification of high-risk populations and patient education （especially symptom recognition）. When relevant symptoms appear， the drug should be discontinued immediately， with liver-protective therapy initiated when necessary， to ensure patient safety of drug use.

BACKGROUND: Severe stroke has high rates of mortality and morbidity. This study aimed to investigate the clinical course, causes of worsening, and outcomes of severe ischemic stroke. METHODS: This prospective, multicenter cohort study enrolled adult patients admitted ≤30 days after ischemic stroke from nine hospitals in China between September 2017 and December 2019. Severe stroke was defined as a score of ≥15 on the National Institutes of Health Stroke Scale (NIHSS). Clinical worsening was defined as an increase of 4 in the NIHSS score from baseline. Unfavorable functional outcome was defined as a modified Rankin scale score ≥3 at 3 months and 1 year after stroke onset, respectively. We performed Logistic regression to explore baseline features and reperfusion therapies associated with clinical worsening and functional outcomes. RESULTS: Among 4201 patients enrolled, 854 patients (20.33%) had severe stroke on admission. Of 3347 patients without severe stroke on admission, 142 (4.24%) patients developed severe stroke in hospital. Of 854 patients with severe stroke on admission, 33.95% (290/854) experienced clinical worsening (median time from stroke onset: 43 h, Q1-Q3: 20-88 h), with brain edema (54.83% [159/290]) as the leading cause; 24.59% (210/854) of these patients died by 30 days, and 81.47% (677/831) and 78.44% (633/807) had unfavorable functional outcomes at 3 months and 1 year respectively. Reperfusion reduced the risk of worsening (adjusted odds ratio [OR]: 0.24, 95% confidence interval [CI]: 0.12-0.49, P  <0.01), 30-day death (adjusted OR: 0.22, 95% CI: 0.11-0.41, P  <0.01), and unfavorable functional outcomes at 3 months (adjusted OR: 0.24, 95% CI: 0.08-0.68, P <0.01) and 1 year (adjusted OR: 0.17, 95% CI: 0.06-0.50, P  <0.01). CONCLUSIONS: Approximately one-fifth of patients with ischemic stroke had severe neurological deficits on admission. Clinical worsening mainly occurred in the first 3 to 4 days after stroke onset, with brain edema as the leading cause of worsening. Reperfusion reduced the risk of clinical worsening and improved functional outcomes. REGISTRATION ClinicalTrials.gov , NCT03222024.
Humans ; Male ; Female ; Prospective Studies ; Ischemic Stroke/mortality* ; Aged ; Middle Aged ; Aged, 80 and over ; Stroke ; Brain Ischemia

Objective To compare artificial intelligence-assisted diagnostic system and conventional manual CT image interpretation for detection of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules, and to provide a reference for the application of artificial intelligence in clinical screening for lung cancer. Methods Patients who underwent chest CT scans for pulmonary nodules from March 2019 to December 2023 were enrolled. The CT images were subjected to artificial intelligence-based and conventional manual CT image interpretation. The pathological examination results of pulmonary lesions served as a gold standard for comparison of artificial intelligence-based and conventional manual CT image interpretation in detection rate of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules. Results A total of 327 positive pulmonary nodules were identified in 207 patients. The detection rate of positive pulmonary nodules was significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation (95.72% vs. 86.85%; χ²=16.16, P < 0.01). Moreover, artificial intelligence-based CT image interpretation showed significantly higher detection rates for solid (χ²=7.71, P < 0.01) and ground-glass pulmonary nodules (χ²=5.80, P < 0.05) than conventional manual CT image interpretation. The detection rates for pulmonary nodules with < 1 cm (χ²=4.97, P < 0.05), 1 to < 2 cm (χ²=7.04, P < 0.01), and 2 to < 3 cm (χ²=4.91, P < 0.05) diameters were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for differential diagnosis of benign and malignant pulmonary nodules were 98.08%, 91.53%, 95.33%, 96.43%, and 95.71% with artificial intelligence-based CT image interpretation and 91.34%, 77.97%, 87.96%, 32.62%, and 86.50% with conventional CT image interpretation. The sensitivity (χ²=4.70, P < 0.05), specificity (χ²=4.20, P < 0.05), negative predictive value (χ²=65.28, P < 0.01), and accuracy (χ²=8.52, P < 0.01) were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. However, there was no significant difference in the positive predictive value (χ²=3.80, P > 0.05). Conclusion Compared with conventional manual CT image interpretation, artificial intelligence-assisted diagnostic system for CT image interpretation can significantly increase the detection rate of positive pulmonary nodules and improve the efficiency of differential diagnosis of benign and malignant pulmonary nodules, so it deserves widespread applications in physical examination and early screening for lung cancer.

Objective To compare artificial intelligence-assisted diagnostic system and conventional manual CT image interpretation for detection of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules, and to provide a reference for the application of artificial intelligence in clinical screening for lung cancer. Methods Patients who underwent chest CT scans for pulmonary nodules from March 2019 to December 2023 were enrolled. The CT images were subjected to artificial intelligence-based and conventional manual CT image interpretation. The pathological examination results of pulmonary lesions served as a gold standard for comparison of artificial intelligence-based and conventional manual CT image interpretation in detection rate of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules. Results A total of 327 positive pulmonary nodules were identified in 207 patients. The detection rate of positive pulmonary nodules was significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation (95.72% vs. 86.85%; χ²=16.16, P < 0.01). Moreover, artificial intelligence-based CT image interpretation showed significantly higher detection rates for solid (χ²=7.71, P < 0.01) and ground-glass pulmonary nodules (χ²=5.80, P < 0.05) than conventional manual CT image interpretation. The detection rates for pulmonary nodules with < 1 cm (χ²=4.97, P < 0.05), 1 to < 2 cm (χ²=7.04, P < 0.01), and 2 to < 3 cm (χ²=4.91, P < 0.05) diameters were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for differential diagnosis of benign and malignant pulmonary nodules were 98.08%, 91.53%, 95.33%, 96.43%, and 95.71% with artificial intelligence-based CT image interpretation and 91.34%, 77.97%, 87.96%, 32.62%, and 86.50% with conventional CT image interpretation. The sensitivity (χ²=4.70, P < 0.05), specificity (χ²=4.20, P < 0.05), negative predictive value (χ²=65.28, P < 0.01), and accuracy (χ²=8.52, P < 0.01) were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. However, there was no significant difference in the positive predictive value (χ²=3.80, P > 0.05). Conclusion Compared with conventional manual CT image interpretation, artificial intelligence-assisted diagnostic system for CT image interpretation can significantly increase the detection rate of positive pulmonary nodules and improve the efficiency of differential diagnosis of benign and malignant pulmonary nodules, so it deserves widespread applications in physical examination and early screening for lung cancer.

Objective To evaluate the differential diagnostic value of synthetic magnetic resonance imaging(syMRI)and field of view optimized and constrained undistorted single shot diffusion weighted imaging(FOCUS DWI)in patient with breast imaging reporting and data system(BI-RADS)4 breast lesions.Methods A total of 68 patients who underwent breast MRI and were classified as BI-RADS category 4 were prospectively enrolled.Among them,there were 31 cases of benign lesions(benign group)and 37 cases of malignant lesions(malignant group).All patients underwent T1WI,T2WI,FOCUS DWI,dynamic contrast-enhanced magnetic resonance ima-ging(DCE-MRI)and syMRI.Two radiologists delineated the region of interest(ROI)on quantitative parameters images of syMRI and the apparent diffusion coefficient(ADC)images generated from FOCUS DWI and calculated T1,T2,proton density(PD)and ADC values,respectively.The thresholds and diagnostic efficacy of syMRI and FOCUS DWI parameters were evaluated by the receiver op-erating characteristic(ROC)curve.Logistic regression analysis was used to combine the parameters of the two sequences and evalu-ate the diagnostic efficacy.Results The T2,PD,and ADC values in the malignant group were significantly lower than those in the benign group(P＜0.05),but there were no statistically significant difference in T1 values between the groups(P＞0.05).T2 and ADC values could be used as important diagnostic indexes in patient with malignant lesions of BI-RADS 4 breast lesions,and the area under the curve(AUC)of T2 and ADC was 0.833 and 0.867,respec-tively.There was no significant difference in AUC of T2 and ADC between benign and malignant groups(Z=0.485,P=0.627).The AUC of T2 value combined with ADC value was 0.910,and the sensitivity and specificity was 90.3％and 89.2％,respectively.Conclusion T2 value of syMRI and ADC value of FOCUS DWI can be used as quantitative diagnostic indicators in patients with BI-RADS 4 breast lesions.The combination of T2 and ADC values can further improve the differential diagnosis efficiency.

Objective:To investigate the application value of biological muscle flap in laparo-scopic radical proximal gastrectomy with esophagogastric anastomosis.Methods:The retrospec-tive and descriptive study was conducted. The clinicopathological data of 10 patients with adeno-carcinoma of esophagogastric junction who were admitted to The First Affiliated Hospital of Xi′an Jiaotong University from May 2023 to August 2023 were collected. All patients were males, aged (65±5)years. All patients underwent laparoscopic radical proximal gastrectomy and esophagogastric anastomosis with digestive tract reconstruction using the esophagogastric biological muscle flap. Observation indicators: (1) surgical situations and early complications; (2) follow-up and late com-plications. Measurement data with normal distribution were represented as Mean± SD, and measure-ment data with skewed distribution were represented as M(range). Count data were described as absolute numbers. Results:(1) Surgical situations and early complications. All 10 patients success-fully completed the surgery without conversion to open surgery, and the operation time was (166±18)minutes. Cases with digestive tract reconstruction as end-to-side anastomosis and Overlap anas-tomosis were 1 and 9, respectively. The time of digestive tract reconstruction, the number of lymph node dissected, volume of intraoperative blood loss, time to postoperative first anal exhaust, time to postoperative first intake of liquid food, duration of postoperative hospital stay were (40±12)minutes, 24±6, (41±9)mL, (3.4±0.5)days, (4.1±1.0)days, (8.3±0.7)days in the 10 patients. Of 4 cases with postoperative early complications, 1 case developed pulmonary infection (Clavien-Dindo grade Ⅱ) on the second day after surgery, with pulmonary infection absorbed after 5 days of antibiotic treat-ment. Two cases experienced chest distress and shortness of breath on the third day after surgery, with the diagnosis of a small to moderate amount of pleural effusion after chest B-ultrasound examination. After pleural puncture and active treatment, the symptoms of them were improved and the pleural effusion disappeared. There was 1 case with choking sensation when eating solid food, which was started from the third week after surgery. Upper gastrointestinal imaging revealed mild anastomotic stenosis of Clavien-Dindo grade Ⅰ in the patient, who was improved after conservative treatment. On the 7th day after surgery, all 10 patients underwent upper gastrointestinal angiography, and no anastomotic leakage or stenosis occurred. There was no sign of contrast agent reflux in the supine position and 30° head down position. (2) Follow-up and late complications. All 10 patients were followed up for 59.5(range, 31.0-127.0)days. The esophageal reflux scale score of 10 patients was 1.4±0.3. During the follow-up, 1 case underwent gastroscopy on 40 days after surgery, which showed reflux esophagitis with Los Angeles grade as B and the Clavien-Dindo grade as Ⅰ. There was no clinical symptom such as heartburn or acid reflux. Results of 24-hour pH monitoring showed that the patient experienced 24 instances of reflux in an upright position and 15 instances of reflux in a supine position, with no prolonged reflux. The total reflux time within 24 hours was 75 minutes. The DeMeester score was 38.3. Results of esophageal pressure measurement showed that the esophageal contraction morphology was normal, but the anastomotic opening was not well relaxed. The rest of 9 cases had no complication such as reflux esophagitis.Conclusion:Biological muscle flap applied in the laparoscopic radical proximal gastrectomy with esophagogastric anastomosis is safe and feasible, with satisfied short-term efficacy.

OBJECTIVE To comprehensively evaluate the three oral Janus kinase inhibitors （JAKi） such as upadacitinib， abrocitinib and baricitinib in the treatment of atopic dermatitis. METHODS The six dimensions of safety， efficacy， economy， appropriateness， accessibility and innovativeness were used for evaluation. Meta-analysis was conducted to evaluate the safety and efficacy of three oral JAKi； pharmacoeconomic studies were searched， and the treatment costs were calculated to evaluate the economy of each JAKi. Appropriateness was described based on literature review and drug labels. Accessibility of three oral JAKi was assessed by using a questionnaire survey. The innovation of JAKi was elucidated from the perspective of its mechanism of action. RESULTS In terms of safety， the incidence of upper respiratory tract infection （OR＝1.47， 95%CI of 1.04-2.08， P＝0.03） and nasopharyngitis （OR＝1.44， 95%CI of 1.06-1.95， P＝0.02） in the upadacitinib 30 mg group was significantly higher than that in the placebo group； the incidence of nasopharyngitis in baricitinib 4 mg group was significantly higher than that in the placebo group （OR＝2.24， 95%CI of 1.39-3.61， P＝0.000 8） and baricitinib 2 mg group （OR＝0.48， 95%CI of 0.31-0.74，P＝0.001）. In terms of efficacy， regardless of the dosage， all three JAKi groups were superior to the placebo group， and the high-dose groups of upadacitinib and abrocitinib were superior to the low-dose groups （P＜0.000 1）. In terms of economy， the annual treatment cost of baricitinib was the lowest （13 870.0 yuan）， but it has not been approved for atopic dermatitis indication in China； next was upadacitinib （27 192.5 yuan）. In terms of appropriateness， the overall appropriateness of the three JAKis was good， but none of them was suitable for patients with severe liver injury. In terms of accessibility， baricitinib had the highest availability rate （59.4%）， but the affordability of upadacitinib was relatively good under China’s medical insurance system. In terms of innovation， among the three types of JAKi， upadacitinib and abrocitinib had better innovation. CONCLUSIONS Three oral JAKi treatments for atopic dermatitis have controllable safety and good efficacy. Considering the issue of medical insurance reimbursement， it is recommended that Chinese patients use upadacitinib.

Objective:To explore the predictive value of 18F-FDG PET/CT in molecular subtyping of triple-negative breast cancer. Methods:A retrospective analysis was performed on the clinical and imaging data of 227 breast cancer patients who underwent 18F-FDG PET/CT examination in the Tianjin Medical University Cancer Institute & Hospital from January 1, 2010 to December 31, 2022. Based on the expression levels of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) in the primary breast cancer, the patients were categorized into two groups: triple-negative breast cancer (TNBC) and non-TNBC. Radiomic features were extracted from images of both groups, and a radiomic model was constructed to predict the molecular subtype of the TNBC groups. In addition, the clinical data, CT morphological features, and PET metabolic parameters of both groups were compared to determine the indicators with statistically significant differences and develop a comprehensive radiomic model combined with clinical characteristics. Results:Compared to the non-TNBC group, the TNBC groups exhibited more significant invasiveness in terms of tumor diameter, margins, ipsilateral axillary lymph node metastasis, invasion of neighboring skin or papillae, and PET metabolic parameters ( t = -3.19; χ2 = 7.30, 8.10, 5.34; t = 3.80, 3.30, 3.42, P < 0.05). The constructed 18F-FDG PET/CT radiomic model proved effective in predicting the molecular subtype of the TNBC group, and the receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.83 (95% CI 0.78-0.88), an accuracy of 75.9%, a sensitivity of 74.5%, and a specificity of 77.2%. In contrast, the constructed comprehensive radiomic model displayed an AUC of 0.86 (95% CI 0.81-0.90), an accuracy of 77.2%, a sensitivity of 78.6%, and a specificity of 75.9%. Conclusions:18F-FDG PET/CT plays an important role in predicting molecular subtypes of TNBC. The constructed radiomic model and comprehensive radiomic model can further enhance the prediction efficacy of PET metabolic parameters and accelerate the development of accurate treatment protocols in clinical practice, thus improving the prognosis of breast cancer.