Objective:To evaluate surgical strategies and clinical outcomes in supra-labyrinthine cholesteatoma management, providing evidence-based guidance for therapeutic decision-making. Methods:Seven patients with supra-labyrinthine cholesteatoma in our hospital from 2021 to 2023 were enrolled in this study. The clinical manifestations, imaging findings, and surgical outcomes of patients were retrospectively analyzed. A systematic literature review focused on surgical anatomy correlations and imaging-based approach selection. Results:All seven cases of supra-labyrinthine cholesteatoma were unilateral. Preoperative otoendoscopy, CT, and intraoperative findings confirmed that they were classified as supral-abyrinthine cholesteatoma according to Sanna's classification. Two cases were operated entirely with otoendoscopy, three cases used a postauricular approach with microscopic assistance, and two cases involved a combined approach with endoscopy and microscopy. Hearing reconstruction with ossicular prosthesis was performed in five cases, while two cases did not undergo hearing reconstruction due to preoperative anacusis confirmed by both subjective and objective hearing tests. In all seven cases, various segments of the facial nerve were exposed during surgery, but postoperative facial nerve function remained intact, hearing was preserved, no cerebrospinal fluid leakage occurred, and no recurrences have been observed to date（as of June 2024）. Conclusion:With the advancement of imaging techniques and microsurgical technology, early diagnosis and surgical methods for supral-abyrinthine cholesteatoma have significantly improved. Compared to traditional approaches, the newer methods reduce unnecessary complications and offer advantages such as minimal surgical trauma, superior hearing preservation rates, and shorter recovery times with better postoperative neural function. This study reviews recent literature on petroclival cholesteatomas, combined with our own cases, to analyze the classification of supral-abyrinthine cholesteatoma and surgical approach selection. The findings aim to optimize treatment strategies and guide appropriate surgical methods, ultimately improving patient prognosis and quality of life.
Humans ; Cholesteatoma/surgery* ; Ear, Inner/surgery* ; Retrospective Studies ; Treatment Outcome

Gastric cancer (GC) is characterized by high morbidity and mortality rates. Chinese agarwood comprises the resin-containing wood of Aquilaria sinensis (Lour.) Gilg., traditionally utilized for treating asthma, cardiac ischemia, and tumors. However, comprehensive research regarding its anti-GC effects and underlying mechanisms remains limited. In this study, Chinese agarwood petroleum ether extract (CAPEE) demonstrated potent cytotoxicity against human GC cells, with half maximal inhibitory concentration (IC₅₀) values for AGS, HGC27, and MGC803 cells of 2.89, 2.46, and 2.37 μg·mL^-1, respectively, at 48 h. CAPEE significantly induced apoptosis in these GC cells, with B-cell lymphoma-2 (BCL-2) associated X protein (BAX)/BCL-2 antagonist killer 1 (BAK) likely mediating CAPEE-induced apoptosis. Furthermore, CAPEE induced G₀/G₁ phase cell cycle arrest in human GC cells via activation of the deoxyribonucleic acid (DNA) damage-p21-cyclin D1/cyclin-dependent kinase 4 (CDK4) signaling axis, and increased Fe²⁺, lipid peroxides and reactive oxygen species (ROS) levels, thereby inducing ferroptosis. Ribonucleic acid (RNA) sequencing, real-time quantitative polymerase chain reaction (RT-qPCR), and Western blotting analyses revealed CAPEE-mediated upregulation of heme oxygenase-1 (HO-1) in human GC cells. RNA interference studies demonstrated that HO-1 knockdown reduced CAPEE sensitivity and inhibited CAPEE-induced ferroptosis in human GC cells. Additionally, CAPEE administration exhibited robust in vivo anti-GC activity without significant toxicity in nude mice while inhibiting tumor cell growth and promoting apoptosis in tumor tissues. These findings indicate that CAPEE suppresses human GC cell growth through upregulation of the DNA damage-p21-cyclin D1/CDK4 signaling axis and HO-1-mediated ferroptosis, suggesting its potential as a candidate drug for GC treatment.
Animals ; Humans ; Mice ; Antineoplastic Agents, Phytogenic ; Apoptosis/drug effects* ; Cell Line, Tumor ; Cyclin D1/genetics* ; Cyclin-Dependent Kinase 4/genetics* ; DNA Damage/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Ferroptosis/drug effects* ; G1 Phase Cell Cycle Checkpoints/drug effects* ; Heme Oxygenase-1/genetics* ; Mice, Inbred BALB C ; Mice, Nude ; Plant Extracts/pharmacology* ; Stomach Neoplasms/physiopathology* ; Thymelaeaceae/chemistry* ; Up-Regulation/drug effects*

Objective:To investigate the hepatoprotective effect of N-acetylcysteine(NAC)on rats with liver injury induced by cisplatin and its effect on intestinal flora and the expression of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),and nuclear factor-kappa B(NF-κB).Methods:Male Sprague-Dawley rats were randomly divided into control group(CG),cisplatin group(CP),and NAC group.The rats in the NAC group were given NAC 15 mg/kg by gavage for 8 consecutive days.At half an hour after intragastric administration on the fifth day,all rats except those in the NC group were given intraperitoneal injection of 8 mg/kg cisplatin to induce acute liver injury.An automatic biochemical analyzer was used to measure the content of aspartate aminotransferase(AST),alanine aminotransferase(ALT),alkaline phosphatase(ALP),and total bilirubin(TBIL);liver index was calculated for the rats;Western blot was used to measure the relative expression levels of NF-κB,IL-6,and TNF-α in liver tissue;the 16S rDNA technique was used to measure and analyze the amplification information of the V3-V4 regions of each sample.Results:Compared with the NC group,the CP group had significant increases in the content of AST,ALT,ALP,and TBIL,while NAC reversed the abnormal liver function caused by cisplatin.Compared with the NC group,the CP group had a sig-nificant increase in liver index(P=0.000),while the NAC group had a significant reduction in liver index compared with the CP group(P=0.007).Compared with the NC group,the CP group had signifi-cant increases in the expression levels of IL-6,TNF-α,and NF-κB,while the NAC group showed reductions in the expression of these genes,with significant differences in the expression of IL-6 and TNF-α(P=0.006 and 0.000).Compared with the NC group,the CP group had a significant increase in the α-diversity index of intesti-nal flora,while compared with the CP group,the NAC group tended to have a reduction in the α-diversity index of intestinal flora.Com-pared with the CP group at the phylum level,the NAC group had an increase in the abundance of Actinobacteria and a reduction in the abundance of Firmicutes.Compared with the CP group at the genus level,the NAC group had a reduction in the abundance of Rumino-coccaceae and increases in the abundance of Bifidobacterium and Allobaculum.Conclusion:NAC can alleviate acute liver injury caused by cisplatin,possibly by downregulating the expression of IL-6,TNF-α,and NF-κB and regulating the abundance and diver-sity of intestinal flora.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.

Objective:To investigate the agreement of ultrasound derived fat fraction (UDFF) with magnetic resonance imaging proton density fat fraction (MRI PDFF) on evaluating hepatic steatosis, and the performance of UDFF on diagnosing metabolic dysfunction associated steatotic liver disease (MASLD).Methods:One hundred and twenty-five volunteers and one hundred and seven inpatients who underwent abdominal ultrasound examination in Zhongda Hospital Southeast University from November 2023 to February 2024 were prospectively enrolled.UDFF and MRI PDFF were applied to evaluate hepatic steatosis. Spearman correlation test and Bland-Altman plot were applied to analyze the agreement of UDFF and MRI PDFF. Receiver operating characteristic curve (ROC) was applied to calculate the performance of UDFF on diagnosing MASLD.Results:In our participants, compared to individuals without hepatic steatosis, patients with MASLD had higher body mass index (BMI), waist-to-hip ratio, prevalence of diabetes mellitus, levels of alanine transaminase (ALT), aspertate aminotransferase (AST), alkaline phosphatase (ALP), γ-glutamyl transpeptidase (GGT), triglyceride, and UDFF (all P<0.05). The percentage of hepatic steatosis measured by UDFF and MRI PDFF was strongly correlated[ρ=0.873(95% CI=0.837-0.901), P<0.001]. UDFF performed excellent for diagnosing MASLD with an area under the curve (AUC) of 0.983(95% CI=0.956-0.995, P<0.001), and was better than semi-quantitative assessment based on two-dimensional ultrasound as well as ultrasound attenuation parameter. The optimal cut off value of UDFF to diagnose MASLD was ≥6%. Conclusions:The percentage of hepatic steatosis measured by UDFF and MRI PDFF agrees with each other, and UDFF obtains an excellent performance on diagnosing MASLD, so that UDFF should be considered a reliable imaging technique for quantitively evaluating hepatic steatosis and diagnosing MASLD.

Objective:To conduct a scope review on the application of ICU diaries in critically ill patients, laying the foundation for further exploration and construction of ICU diary patterns and frameworks that were in line with the national conditions and tailored to different regions and cultural backgrounds.Methods:The Joanna Briggs Institute Reviewer′s Manual was used as the methodological framework, and a computer search was conducted in nine domestic and international databases, including China National Knowledge Infrastructure, Wanfang Database, China Biomedical Literature Database, Cochrane Library, PubMed, and Embase, etc. The search period was from the inception of the databases until March 13, 2023. The included literature was screened, summarized, and analyzed.Results:A total of 19 articles were included. ICU diaries were commonly recorded using a combination of text and visuals, with the involvement of both healthcare professionals and family members. Most patients received ICU diaries approximately one month after their transfer from the ICU. Out of the 15 studies, ICU diaries were found to be effective, while 4 studies indicated no significant improvement in patients′ psychological issues. However, ICU diaries were still considered acceptable by patients and their families.Conclusions:The application of ICU diaries has shown positive significance in critically ill patients, but further research and exploration are needed to investigate its impact on issues such as post-traumatic stress disorder, anxiety, depression, and quality of life. In the future, a combination of multiple forms and high-quality research designs with large samples, long periods, and structured approaches should be employed to explore its application effects and long-term outcomes on psychological problems.

A 55-year-old male patient was admitted to the hospital due to "recurrent chest pain for 8 months, with worsening symptoms for 2 weeks". After admission, comprehensive relevant examinations led to the consideration of a giant chronic left ventricular pseudoaneurysm caused by myocardial infarction with non-obstructive coronary arteries. Surgical treatment was performed at our hospital. We discuss the diagnosis and treatment of this patient.

At present ICU transition management in China is still in the exploration stage, and the existing research results are difficult to be promoted in the clinic, and the management plan lacks unified and feasible standards. This paper introduces the concept and model of ICU transition management, and provides an overview of the current situation of ICU transition management for patients transferred out of ICU, adverse outcomes for patients transferred out of ICU, and the content of ICU transition management for patients transferred out of ICU, aiming to provide a reference for the formation of a unified and standardized ICU transition management scheme.

Objective:To investigate the diagnostic value of circular RNA circ_100367 in thyroid cancer (THCA) and its relationship with immune-related factors.Methods:According to the data chip provided by the National Center for Biotechnology Information (NCBI) website, the differentially expressed circRNAs in THCA were analyzed, then circ_100367 was included in this study. The serum of 175 THCA patients and healthy people were collected, and the expression levels of circ_100367 and its linear transcript DCAF8 mRNA in serum samples were detected by qRT-PCR, and the correlation between circ_100367 and DCAF8 was calculated. The correlation between the expression of circ_100367 and the clinicopathological characteristicsof the patients, immune infiltration level and immunosuppressive factor PD-1 was analyzed.Results:Compared with serum of healthy people (1.00±0.37) , expression level of circ_100367 in serum of THCA patients was significantly increased (1.37±0.41) ( t=8.80, P<0.001) , and there was no significant difference in DCAF8 mRNA expression ( t=1.67, P=0.095) , but circ_100367 was positively correlated with DCAF8 mRNA expression ( r=0.17, P=0.028) . Analysis of expression and clinicopathological characteristics of circ_100367 showed that compared with patients in M0 group (1.26±0.40) , circ_100367 was overexpressed in M1 and Mx patients (1.43±0.40) ( t=2.63, P=0.009) ; compared with N0 patients (1.24±0.36) , circ_100367 was overexpressed in serum of N1 and Nx patients (1.45±0.42) ( t=3.48, P=0.001) ; compared with serum of patients with negative lymph node detection (1.28±0.36) , circ_100367 was overexpressed in serum of positive patients (1.42±0.43) ( t=2.14, P=0.034) ; compared with T1+T2 stage patients (1.30±0.37) , circ_100367 expression was overexpressed in serum ofT3+T4 patients (1.40±0.43) ( t=2.22, P=0.028) . Analysis of the expression and immune infiltration levels of circ_100367 found that highly expressed circ_100367 was associated with CD8+ T cells ( r=0.25, P=0.024) , macrophages ( r=0.22, P=0.038) , CD4+ T cells ( r=0.25, P=0.020) and B cell ( r=0.23, P=0.033) levels. The expression of circ_100367 was also positively correlated with the immunosuppressive factor PD-1 ( r=0.19, P=0.011) . Conclusion:circ_100367 can be used as a marker for the diagnosis of THCA and its expression is strongly correlated with immune-related factors.