ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

This article reports a child with cardioaciocutaneous syndrome (CFCS) caused by a rare microdeletion of chromosome 19p13.3, and a literature review is conducted. The child had unusual facies, short stature, delayed mental and motor development, macrocephaly, and cardiac abnormalities. Whole-exome sequencing identified a 1 040 kb heterozygous deletion in the 19p13.3 region of the child, which was rated as a "pathogenic variant". This is the first case of CFCS caused by a loss-of-function mutation reported in China, which enriches the genotype characteristics of CFCS. It is imperative to enhance the understanding of CFCS in children. Early identification based on its clinical manifestations should be pursued, and genetic testing should be performed to facilitate diagnosis.
Humans ; Chromosome Deletion ; Chromosomes, Human, Pair 19/genetics* ; Ectodermal Dysplasia/genetics* ; Facies ; Failure to Thrive/genetics* ; Heart Defects, Congenital/genetics*

OBJECTIVE: To explore the clinical characteristics and prognosis of children with SIL-TAL1-positive T-cell acute lymphoblastic leukemia ( SIL-TAL1⁺ T-ALL). METHODS: The clinical data of 110 children with newly diagnosed T-ALL admitted to the pediatric department of our hospital from January 2010 to December 2018 were reviewed to compare the clinical characteristics, treatment response and prognosis between SIL-TAL1⁺ group and SIL-TAL1^-group. RESULTS: Among the 110 children with T-ALL, 25 cases (22.7%) were in the SIL-TAL1⁺ group and 85 cases (77.3%) in the SIL-TAL1^- group. The white blood cell (WBC) count in the SIL-TAL1⁺ group was significantly higher than that in the SIL-TAL1^- group (P < 0.05), while the other clinical characteristics and treatment response were not significantly different between the two groups. The 5-year overall survival (OS) rates of SIL-TAL1⁺ group and SIL-TAL1^- group were 80.0% and 75.5%, and 5-year disease-free survival (DFS) rates were 76.0% and 72.9%, respectively. There were no significant differences in OS rate and DFS rate between the two groups ( P >0.05). In children aged < 10 years, the 5-year OS rate of SIL-TAL1⁺ group and SIL-TAL1^- group was 100% and 75.1%, respectively, and the difference between the two groups was statistically significant (P < 0.05). CONCLUSION Although the WBC level is significantly higher in children with SIL-TAL1⁺ T-ALL than that in those with SIL-TAL1^- T-ALL, the treatment efficacy is similar between the two groups. In children aged < 10 years, the longterm survival rate is superior in the SIL-TAL1⁺ group.
Humans ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/diagnosis* ; Prognosis ; Child ; Male ; Female ; Survival Rate ; T-Cell Acute Lymphocytic Leukemia Protein 1 ; Child, Preschool ; Oncogene Proteins, Fusion ; Leukocyte Count

Aim To study the effects of different peri-ods of hypoxia on gastrointestinal stress in mice by sim-ulating hypoxia environment at high altitude in a low-pressure oxygen chamber.Methods The normal con-trol group and the model group for 1,3 and 5 days were set up according to different periods of hypobaric hypoxia.The intestinal propulsion rate,visceral sensi-tivity and pathological damage of gastrointestinal tract were detected after hypobaric hypoxia treatment.The contents of IL-1 β,IL-6 and TNF-α in gastrointestinal tract and the contents of gastrointestinal hormone,di-amine oxidase and D-lactic acid were detected by en-zyme-linked immunosorbent assay(ELISA).The ex-pressions of tight-junction protein and tight junction in-jury pathway protein in intestinal tissues were detected by Western blot.Results Compared with the control group,the intestinal propulsion rate of the model group was accelerated,and the intestinal sensitivity in-creased.The expression of intestinal mucosal injury markers increased.Gastrointestinal motility inhibiting hormone decreased and gastrointestinal motility promo-ting hormone increased.The expression of tight junc-tion proteins ZO-1,claudin-1,occludin and VASP of tight junction injury-related pathway decreased,while the expression of NF-κB,HIF-1α and VEGF in tight junction injury-related pathway increased.The expres-sions of IL-1 β,IL-6 and TNF-α in gastrointestinal tis-sue increased.The content of pepsin in gastric tissue increased.The injury of gastrointestinal tissue was less in the 1-day group,and more serious in the 3-day and 5-day groups.Conclusions Stress injury occurs in the gastrointestinal tract of mice at different time points in hypoxia and hypoxia environment,and the gastroin-testinal function injury is more serious after three days of exposure,which may be related to the activation of NF-κB/HIF-1α/VEGF/VASP pathway.

Objective:To explore influencing factors of the self-reported brief life quality satisfaction score(Brief-QoL) in patients with acromegaly and understand the persistent low Brief-QoL scores in cases achieving biochemical remission.Methods:This study included 836 acromegaly patients who were hospitalized at Peking Union Medical College Hospital between January 2012 and December 2020. We retrospectively examined how clinical characteristics, biochemical parameters, comorbidities, and symptoms influenced Brief-QoL. Among patients who achieved biochemical remission, differences in clinical symptoms and comorbidities were analyzed between the high and low quality of life groups.Results:Patients with well-controlled biochemical indicators at the last follow-up had generally high Brief-QoL. However, patients with symptoms such as headaches (47.8% in the low-score group vs 14.9% in the high-score group, P<0.001) and joint pain (69.6% in the low-score group vs 19.0% in the high-score group, P<0.001) had low Brief-QoL despite biochemical remission. Receiving combined treatment(52.4% in the low-score group vs 27.5% in the high-score group, P=0.030) and having comorbid diabetes or hyperlipidemia were significant factors leading to decreased quality of life. Conclusion:Brief-QoL is suitable for follow-up of outpatient patients. Early identification of factors affecting quality of life and timely intervention can facilitate the realization of standardized management.

Objective To explore accuracy and clinical effect of robot-assisted implantation of sacroiliac penetrating screw in orthopedic surgery for posterior pelvic ring fracture.Methods The clinical data of 24 patients with posterior pelvic ring frac-ture treated with robot-assisted sacroiliac penetration screws from August 2022 to August 2023 were retrospectively analyzed,including 10 males and 14 females;aged from 21 to 73 years old with an average of(49.29±14.48)years old;according to Tile pelvic fractures,13 patients were type B and 11 were type C.The effect of screw placement was evaluated according to Gras criteria based on postoperative CT scan results.At the final follow-up,fracture healing was evaluated according to Matta score,and functional recovery was evaluated by Majeed score.Results All patients were followed up for 3 to 13 months with an aver-age of(6.00±3.28)months.Totally 36 sacroiliac penetrating screws,18 S1 penetrating screws,18 S2 penetrating screws were inserted,a total of 29 were excellent and 7 good according to Gras standard.Screw adjustment times was 0.00(0.00,0.75)times.At the final follow-up,Matta score was excellent in 18 patients,5 good and 1 moderate,and the maximum displacement distance was 2.55(0.00,5.65)mm.Majeed score was 84.37±8.38,15 patients were excellent,7 good and 2 moderate.Con-clusion Robot could accurately and safely assist in the placement of sacroiliac joint screws for the treatment of posterior pelvic ring fractures,and promote postoperative functional recovery of patients.

Purpose: Chemotherapy has been the primary treatment for patients with B-cell acute lymphoblastic leukemia (B-ALL). However, there are still patients who are not sensitive to chemotherapy, including those with refractory/relapse (R/R) disease and those experiencing minimal residual disease (MRD) re-emergence. Chimeric antigen receptor-T lymphocytes (CAR-T) therapy may provide a new treatment option for these patients. Materials and Methods: Our institution conducted a single-arm prospective clinical trial (ChiCTR-OPN-17013507) using CAR-T-19 to treat R/R B-ALL and MRD re-emergent patients. One hundred and fifteen patients, aged 1-25 years (median age, 8 years), were enrolled, including 67 R/R and 48 MRD re-emergent CD19-positive B-ALL patients. Results: All patients achieved morphologic complete remission (CR), and within 1 month after infusion, 111 out of 115 (96.5%) patients achieved MRD-negative CR. With a median follow-up time of 48.4 months, the estimated 4-year leukemia-free survival (LFS) rate and overall survival (OS) rate were 68.7%±4.5% and 70.7%±4.3%, respectively. There were no significant differences in long-term efficacy observed among patients with different disease statuses before infusion (4-year OS: MRD re-emergence vs. R/R B-ALL, 70.6%±6.6% vs. 66.5%±6.1%, p=0.755; 4-year LFS: MRD re-emergence vs. R/R B-ALL, 67.3%±7.0% vs. 63.8%±6.2%, p=0.704). R/R B-ALL patients bridging to transplantation after CAR-T treatment had a superior OS and LFS compared to those who did not. However, for MRD re-emergent patients, there was no significant difference in OS and LFS, regardless of whether they underwent hematopoietic stem cell transplantation or not. Conclusion CD19 CAR-T therapy effectively and safely cures both R/R B-ALL and MRD re-emergent patients.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

OBJECTIVE: To investigate the mechanism of induction of ferroptosis by brazilin in breast cancer cells. METHODS: Breast cancer 4T1 cells were divided into 6 groups: control, brazilin 1/2 half maximal inhibitory concentration (IC₅₀), IC₅₀, 2×IC₅₀, erastin (10 µg/mL) and capecitabine (10 µg/mL) groups. The effect of brazilin on the proliferation of 4T1 cells was detected by cell counting kit-8 assay, and the treatment dose of brazilin was screened. The effect of brazilin on the mitochondrial morphology of 4T1 cells, and the mitochondrial damage was evaluated under electron microscopy. The levels of Fe²⁺, reactive oxygen species (ROS), malondialdehyde (MDA), glutathione (GSH) and glutathione peroxidase 4 (GPX4) were estimated using various detection kits. The invasion and migration abilities of 4T1 cells were detected by scratch assay and transwell assay. The expressions levels of tumor protein p53, solute carrier family 7 member 11 (SLC7A11), GPX4 and acyl-CoA synthetase long-chain family member 4 (ACSL4) proteins were quantified by Western blot assay. RESULTS: Compared to the control group, the 10 (1/2 IC₅₀), 20 (IC₅₀) and 40 (2×IC₅₀) µg/mL brazilin, erastin, and capecitabine groups showed a significant decrease in the cell survival rate, invasion and migration abilities, GSH, SLC7A11 and GPX4 protein expression levels, and mitochondrial volume and ridge (P<0.05), and a significant increase in the mitochondria membrane density, Fe²⁺, ROS and MDA levels, and p53 and ACSL4 protein expression levels (P<0.05). CONCLUSIONS Brazilin actuated ferroptosis in breast cancer cells, and the underlying mechanism is mainly associated with the p53/SLC7A11/GPX4 signaling pathway.
Ferroptosis/drug effects* ; Phospholipid Hydroperoxide Glutathione Peroxidase/metabolism* ; Breast Neoplasms/drug therapy* ; Signal Transduction/drug effects* ; Female ; Cell Line, Tumor ; Tumor Suppressor Protein p53/metabolism* ; Amino Acid Transport System y+/metabolism* ; Humans ; Reactive Oxygen Species/metabolism* ; Animals ; Mice ; Cell Proliferation/drug effects* ; Mitochondria/metabolism* ; Coenzyme A Ligases/metabolism* ; Cell Movement/drug effects* ; Benzopyrans

Objective:To investigate the risk factors of bronchopulmonary dysplasia (BPD) in very low birth weight (VLBW) infants with gestational age ≤32 weeks within 28 days after birth and to establish and validate the nomogram model for BPD prediction.Methods:We retrospectively chose VLBW infants with gestational age ≤32 weeks who survived to postmenstrual age (PMA) 36 weeks and were admitted to the neonatal intensive care unit of Peking University Third Hospital from January 2016 to April 2020 as the training cohort. BPD was diagnosed in accordance with the 2018 criteria. The clinical data of these infants were collected, and the risk factors of BPD were analyzed by Chi-square test, Mann-Whitney U test, and multivariate logistic regression, and a nomogram model was established. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to assess the predictive performance. Decision curve analysis (DCA) was constructed for differentiation evaluation, and the calibration chart and Hosmer-Lemeshow goodness of fit test were used for the calibration evaluation. Bootstrap was used for internal validation. VLBW infants with gestational age ≤32 weeks survived to PMA 36 weeks and admitted to Hebei Chengde Maternal and Child Health Hospital from October 2017 to February 2022 were included as the validation cohort. ROC curve and calibration plot were conducted in the validation cohort for external validation. Results:Of the 467 premature infants included in the training cohort, 104 were in the BPD group; of the 101 patients in the external validation cohort, 16 were in the BPD group. Multivariate logistic regression analysis showed that low birth weight ( OR=0.03, 95% CI: 0.01-0.13), nosocomial pneumonia ( OR=2.40, 95% CI: 1.41-4.09), late-onset sepsis ( OR=2.18, 95% CI: 1.18-4.02), and prolonged duration of endotracheal intubation ( OR=1.61, 95% CI: 1.26-2.04) were risk factors for BPD in these groups of infants (all P<0.05). According to the multivariate logistic regression analysis results, a nomogram model for predicting BPD risk was established. The AUC of the training cohort was 0.827 (95% CI: 0.783-0.872), and the ideal cut-off value for predicted probability was 0.206, with a sensitivity of 0.788 (95% CI: 0.697-0.862) and specificity of 0.744 (95% CI: 0.696-0.788). The AUC of the validation cohort was 0.951 (95% CI:0.904-0.999). Taking the prediction probability of 0.206 as the high-risk threshold, the sensitivity and specificity corresponding to this value were 0.812 (95% CI: 0.537-0.950) and 0.882 (95% CI: 0.790-0.939). The Hosmer-Lemeshow goodness-of-fit test in the training and validation cohort showed a good fit ( P>0.05). DCA results showed a high net benefit of clinical intervention in very preterm infants when the threshold probability was 5%~80% for the training cohort. Conclusion:Low birth weight, nosocomial pneumonia, late-onset sepsis, and prolonged tracheal intubation duration are risk factors for BPD. The established nomogram model has a certain value in predicting the risk of BPD in VLBW less than 32 weeks.