Objective:To investigate the distribution of pathogenic bacteria in the ear canal secretions of patients with chronic suppurative otitis media（CSOM）, the changes in the levels of interleukin-8（IL-8） and Toll like receptor 4（TLR4） in the ear canal secretions, and their clinical significance. Methods:This study selected 128 CSOM patients who visited our hospital from January 2022 to February 2024 as the study subjects and recorded them as the CSOM group. Additionally, 135 volunteers who underwent physical examinations at our hospital during the same period were regarded as the control group. Video otoscopy was used to collect and cultivate ear canal secretions, and a fully automated microbial identification instrument was used to identify the bacterial species. ELISA was applied to detect levels of IL-8, TLR4. Multivariate logistic regression was employed to examine the factors that affect the occurrence of CSOM. Pearson correlation was applied to analyze the correlation between IL-8, TLR4 levels and various influencing factors. ROC curve was applied to analyze the diagnostic value of IL-8 and TLR4 levels for the occurrence of CSOM. Z-test was applied to compare the differences in AUC. Results:Among 128 patients, the detection rate was 89.06%, and a total of 181 strains of pathogenic bacteria were cultured, among them, Gram positive bacteria accounted for the highest proportion of 54.14%, followed by Gram negative bacteria, accounting for 34.25%, and finally fungi, accounting for 11.60%. The common bacteria were Staphylococcus aureus （20.44%）, Pseudomonas aeruginosa （13.26%）, and Staphylococcus epidermidis （8.29%）. The resistance of Gram-positive bacteria to penicillin, clindamycin, erythromycin, and amoxicillin is high. Gram-negative bacteria are highly resistant to penicillin, ampicillin and erythromycin. Fungi are resistant to ketoconazole and fluconazole. The levels of IL-8 and TLR4 in CSOM group were higher than those in the control group, and gradually increased with the increase of hearing impairment. （P<0.05）. Elevated levels of IL-8, TLR4 were independent risk factors for the occurrence of CSOM（P<0.05）. The AUC of CSOM diagnosed by IL-8 and TLR4 alone was 0.790 and 0.777, respectively, while the AUC of combined diagnosis was 0.898, which was better than their respective individual diagnoses（both P<0.05）. Conclusion:The distribution of pathogenic bacteria in the ear canal secretions of CSOM patients is mainly Gram positive, with common ones being Staphylococcus aureus and Pseudomonas aeruginosa. The levels of IL-8 and TLR4 in CSOM patients are higher than those in the control group. The higher the levels, the higher the degree of hearing loss, which can be used for clinical diagnosis.
Humans ; Toll-Like Receptor 4/metabolism* ; Interleukin-8/metabolism* ; Otitis Media, Suppurative/metabolism* ; Ear Canal/metabolism* ; Chronic Disease ; Male ; Female ; Adult ; Middle Aged ; Clinical Relevance

Objective:To analyze the prediction of pathological classification of ground glass nodules based on artificial intelligence computed tomography (CT) quantitative parameters combined with histogram parameters.Methods:The clinical data of 268 suspected patients with ground glass nodules admitted to Foshan Fosun Chancheng Hospital from June 2021 to June 2023 were retrospectively selected as the research subjects. They were divided into pre invasive lesions group (100 cases) and invasive lesions group(168 cases) according to pathological classification. Basic data of patients with different pathological classifications and the CT characteristics were compared, the prediction of pathological classification of ground glass nodules based on CT quantitative parameters combined and histogram parameters were analyzed by receiver operating characteristic (ROC) curve.Results:The edge and boundary of the tumor, shape of the lesion, the peripheral signs of the lesion and the boundary between the two groups had statistical differences ( P<0.05). The CT quantitative parameters of maximum diameter, lesion volume, average CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (15.29 ± 3.20) cm vs. (9.75 ± 2.14) cm, (1.54 ± 0.31) cm 3 vs. (0.51 ± 0.10) cm 3, (- 328.16 ± 46.35) HU vs. (-541.25 ± 100.30) HU, P<0.05. The CT histogram parameters of inproportion of solid components, entropy and maximum CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (66.39 ± 13.25)% vs. (42.65 ± 11.20)%, 4.31 ± 0.52 vs. 3.32 ± 0.39, (-75.34 ± 21.27) HU vs. (-141.72 ± 32.43)HU, P<0.05. Compared with the single prediction of CT quantitative parameters and CT histogram parameters, the combined prediction of the two parameters had higher value in predicting different pathological subtypes of ground glass nodules (the area under the curve was 0.877, P = 0.001). Conclusions:The combined detection of CT quantitative parameters and histogram parameters based on artificial intelligence can effectively evaluate the invasion status of ground glass nodules, which is beneficial for improving the detection of different pathological types of ground glass nodules.

Objective To explore the occurrence and influencing factors of MODS in elderly pa-tients with SAH.Methods A retrospective analysis was conducted on 187 elderly SAH patients admitted in the Second Affiliated Hospital of Guizhou Medical University from January 2021 to June 2024.According to the presence or absence of MODS,they were divided into MODS group(81 cases)and non-MODS group(106 cases).Their general clinical data were compared between the two groups.Multivariate logistic regression analysis was used to identify the risk factors for MODS in elderly SHA patients.ROC curve analysis was applied to evaluate the predictive value of the major risk factors for MODS in the patients.Results The MODS group had significantly ad-vanced age,larger proportion of modified Fisher grades Ⅲ—Ⅳ,higher APACHE Ⅱ score,and in-creased FPG level than the non-MODS group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that APACHE Ⅱ score(OR=1.108,95％CI:1.070-1.148,P=0.000)and mo-dified Fisher grade(OR=1.143,95％CI:1.095-1.194,P=0.000)were independent risk factors for MODS in elderly SAH patients.ROC curve analysis suggested that the AUC value of APACHE Ⅱ score,modified Fisher grade and their combination in predicting the occurrence of MODS in elderly SAH patients was 0.809,0.737 and 0.880,respectively,with a sensitivity of 59.35％,88.93％and 84.02％,and a specificity of 88.73％,58.52％and 81.15％,respectively.The combined detection showed better predictive performance than the indicator alone(P＜0.01).Con-clusion The incidence of MODS is quite high in elderly patients with SAH.APACHE Ⅱ score and modified Fisher grade are the main risk factors affecting the occurrence of MODS.

Objective:To analyze the recovery of olfactory function in patients diagnosed with chronic rhinosinusitis with nasal polyps (CRSwNP) after endoscopic sinus surgery and to identify factors influencing recovery to provide a theoretical foundation for taking effective measures.Methods:This was a retrospective analysis included 277 CRSwNP patients with olfactory dysfunction who underwent endoscopic sinus surgery at the First Affiliated Hospital of Chongqing Medical University from October 2021 to September 2023. This study included 189 males and 88 females, with a median age of 46 years (range: 18-84 years). Routine laboratory tests, sinus CT Lund-Mackay score, modified sinus CT score, endoscopic polyp score, and nasal endoscopic Lund-Kennedy score were included for preoperative assessments. Eosinophil counts were obtained from nasal polyp tissues during surgery. The University of Pennsylvania smell identification test (UPSIT) was administered before surgery and 6 months after surgery to evaluate olfactory function. Based on results of postoperative olfactory test, patients were divided into two groups: the group with improved olfactory function and without improvement of olfactory function. Chi-square test and multivariate Logistic regression were used to analyze relevant factors affecting postoperative olfactory function of CRSwNP patients, and the prediction model was constructed to verify its consistency and to analyze its prediction efficiency.Results:Of the 277 patients, 155 (56%) showed improved olfactory function and 122 (44%) did not improve after surgery. Multivariate Logistic regression analysis identified following independent factors associated with improved postoperative olfactory function: concurrent allergic rhinitis ( OR=2.34), long duration of olfactory dysfunction ( OR=1.13), higher total score of CT olfactory zone ( OR=1.26), higher Lund-Kennedy score ( OR=1.23), presence of olfactory cleft polyps ( OR=4.72), higher tissue eosinophil count ( OR=1.01) and high IL-6 levels ( OR=1.51). Conversely, a higher endoscopic polyp score ( OR=0.74) was associated with a lower likelihood of olfactory improvement. The nomogram model, validated using receiver operating characteristic (ROC) analysis, demonstrated good clinical efficacy with an area under the curve (AUC) of 0.80 (95%CI: 0.748-0.852). The calibration curve showed an absolute error of 0.021, indicating good consistency and predictive accuracy. Conclusions:Factors such as a medical history of allergic rhinitis, duration of olfactory dysfunction, total score of sinus CT olfactory zone, endoscopic Lund-Kennedy score, olfactory cleft polyps, tissue eosinophil count, IL-6 level and endoscopic polyp score independently influence postoperative olfactory function of CRSwNP patients. The nomogram model based on these independent factors has good clinical efficacy, which can be used to predict the postoperative olfactory function in CRSwNP patients with olfactory dysfunction.

Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET), and pathological imaging. However, most existing state-of-the-art AI techniques are task-specific and focus on a limited range of imaging modalities. Compared to these task-specific models, emerging foundation models represent a significant milestone in AI development. These models can learn generalized representations of medical images and apply them to downstream tasks through zero-shot or few-shot fine-tuning. Foundation models have the potential to address the comprehensive and multifactorial challenges encountered in clinical practice. This article reviews the clinical applications of both task-specific and foundation models, highlighting their differences, complementarities, and clinical relevance. We also examine their future research directions and potential challenges. Unlike the replacement relationship seen between deep learning and traditional machine learning, task-specific and foundation models are complementary, despite inherent differences. While foundation models primarily focus on segmentation and classification, task-specific models are integrated into nearly all medical image analyses. However, with further advancements, foundation models could be applied to other clinical scenarios. In conclusion, all indications suggest that task-specific and foundation models, especially the latter, have the potential to drive breakthroughs in medical imaging, from image processing to clinical workflows.
Humans ; Artificial Intelligence ; Deep Learning ; Diagnostic Imaging/methods* ; Magnetic Resonance Imaging ; Tomography, X-Ray Computed ; Positron-Emission Tomography

Objective To explore the mechanism of TubA in the treatment of ulcerative colitis in mice,and to lay a foundation for the treatment strategy of ulcerative colitis.Methods Twenty C57BL/6 mice aged 6-8 weeks were randomly divided into 4 groups(n=5):the control group drank pure water every day,the model group and the treatment groups drank 3％dextran sulfate sodium(DSS)every day,and the treatment groups were injected with 10 mg/kg TubA and 20 mg/kg TubA every day from the third day,respectively.The weight changes of mice in all groups were recorded.Nine days later,the serum of mice was collected,and the expression levels of inflammatory factors IL-1β,IL-6 and IL-10 in serum were detected by ELISA.HE staining was used to observe the pathological changes of the mouse colon.The expression of myeloperoxidase(MPO)was detected by immunohistochemistry,the mRNA levels of inflammatory factors IL-1β,IL-6 and IL-10 were detected by RT-qPCR,and the expressions of GPX4 and FTH were detected by immunohistochemistry.The mRNA and protein expression levels of GPX4,GCLM,FTH,Nrf2,Keap1 and HO-1 in colon tissues were detected by RT-qPCR and Western blotting.Results Compared with the control group,the body weight and colon length of the model group decreased significantly.HE staining showed that inflammatory cells infiltrated the mucosa and submucosa of colon tissue,goblet cells were lost and crypt structure disordered and disappeared.Immunohistochemistry showed that the expression of MPO and FTH proteins were significantly increased,while the expression of GPX4 protein was significantly decreased(P＜0.05).The mRNA and protein expression levels of IL-1β and IL-6 were significantly increased,while the mRNA and protein expression levels of IL-10 were significantly decreased(P＜0.05).The mRNA and protein expression levels of FTH,Nrf2 and HO-1 were significantly increased,while the mRNA and protein expression levels of GPX4,GCLM and Keap1 were significantly decreased(P＜0.05).After TubA treatment,compared with the model group,all these changes mentioned above suppressed(P＜0.05).Conclusion TubA may reduce ulcerative colitis symptoms by inhibiting ferroptosis,providing new ideas for the treatment of ulcerative colitis.

Objective To explore the mechanism of TubA in the treatment of ulcerative colitis in mice,and to lay a foundation for the treatment strategy of ulcerative colitis.Methods Twenty C57BL/6 mice aged 6-8 weeks were randomly divided into 4 groups(n=5):the control group drank pure water every day,the model group and the treatment groups drank 3％dextran sulfate sodium(DSS)every day,and the treatment groups were injected with 10 mg/kg TubA and 20 mg/kg TubA every day from the third day,respectively.The weight changes of mice in all groups were recorded.Nine days later,the serum of mice was collected,and the expression levels of inflammatory factors IL-1β,IL-6 and IL-10 in serum were detected by ELISA.HE staining was used to observe the pathological changes of the mouse colon.The expression of myeloperoxidase(MPO)was detected by immunohistochemistry,the mRNA levels of inflammatory factors IL-1β,IL-6 and IL-10 were detected by RT-qPCR,and the expressions of GPX4 and FTH were detected by immunohistochemistry.The mRNA and protein expression levels of GPX4,GCLM,FTH,Nrf2,Keap1 and HO-1 in colon tissues were detected by RT-qPCR and Western blotting.Results Compared with the control group,the body weight and colon length of the model group decreased significantly.HE staining showed that inflammatory cells infiltrated the mucosa and submucosa of colon tissue,goblet cells were lost and crypt structure disordered and disappeared.Immunohistochemistry showed that the expression of MPO and FTH proteins were significantly increased,while the expression of GPX4 protein was significantly decreased(P＜0.05).The mRNA and protein expression levels of IL-1β and IL-6 were significantly increased,while the mRNA and protein expression levels of IL-10 were significantly decreased(P＜0.05).The mRNA and protein expression levels of FTH,Nrf2 and HO-1 were significantly increased,while the mRNA and protein expression levels of GPX4,GCLM and Keap1 were significantly decreased(P＜0.05).After TubA treatment,compared with the model group,all these changes mentioned above suppressed(P＜0.05).Conclusion TubA may reduce ulcerative colitis symptoms by inhibiting ferroptosis,providing new ideas for the treatment of ulcerative colitis.

Objective:To analyze the prediction of pathological classification of ground glass nodules based on artificial intelligence computed tomography (CT) quantitative parameters combined with histogram parameters.Methods:The clinical data of 268 suspected patients with ground glass nodules admitted to Foshan Fosun Chancheng Hospital from June 2021 to June 2023 were retrospectively selected as the research subjects. They were divided into pre invasive lesions group (100 cases) and invasive lesions group(168 cases) according to pathological classification. Basic data of patients with different pathological classifications and the CT characteristics were compared, the prediction of pathological classification of ground glass nodules based on CT quantitative parameters combined and histogram parameters were analyzed by receiver operating characteristic (ROC) curve.Results:The edge and boundary of the tumor, shape of the lesion, the peripheral signs of the lesion and the boundary between the two groups had statistical differences ( P<0.05). The CT quantitative parameters of maximum diameter, lesion volume, average CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (15.29 ± 3.20) cm vs. (9.75 ± 2.14) cm, (1.54 ± 0.31) cm 3 vs. (0.51 ± 0.10) cm 3, (- 328.16 ± 46.35) HU vs. (-541.25 ± 100.30) HU, P<0.05. The CT histogram parameters of inproportion of solid components, entropy and maximum CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (66.39 ± 13.25)% vs. (42.65 ± 11.20)%, 4.31 ± 0.52 vs. 3.32 ± 0.39, (-75.34 ± 21.27) HU vs. (-141.72 ± 32.43)HU, P<0.05. Compared with the single prediction of CT quantitative parameters and CT histogram parameters, the combined prediction of the two parameters had higher value in predicting different pathological subtypes of ground glass nodules (the area under the curve was 0.877, P = 0.001). Conclusions:The combined detection of CT quantitative parameters and histogram parameters based on artificial intelligence can effectively evaluate the invasion status of ground glass nodules, which is beneficial for improving the detection of different pathological types of ground glass nodules.

Objective To explore the occurrence and influencing factors of MODS in elderly pa-tients with SAH.Methods A retrospective analysis was conducted on 187 elderly SAH patients admitted in the Second Affiliated Hospital of Guizhou Medical University from January 2021 to June 2024.According to the presence or absence of MODS,they were divided into MODS group(81 cases)and non-MODS group(106 cases).Their general clinical data were compared between the two groups.Multivariate logistic regression analysis was used to identify the risk factors for MODS in elderly SHA patients.ROC curve analysis was applied to evaluate the predictive value of the major risk factors for MODS in the patients.Results The MODS group had significantly ad-vanced age,larger proportion of modified Fisher grades Ⅲ—Ⅳ,higher APACHE Ⅱ score,and in-creased FPG level than the non-MODS group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that APACHE Ⅱ score(OR=1.108,95％CI:1.070-1.148,P=0.000)and mo-dified Fisher grade(OR=1.143,95％CI:1.095-1.194,P=0.000)were independent risk factors for MODS in elderly SAH patients.ROC curve analysis suggested that the AUC value of APACHE Ⅱ score,modified Fisher grade and their combination in predicting the occurrence of MODS in elderly SAH patients was 0.809,0.737 and 0.880,respectively,with a sensitivity of 59.35％,88.93％and 84.02％,and a specificity of 88.73％,58.52％and 81.15％,respectively.The combined detection showed better predictive performance than the indicator alone(P＜0.01).Con-clusion The incidence of MODS is quite high in elderly patients with SAH.APACHE Ⅱ score and modified Fisher grade are the main risk factors affecting the occurrence of MODS.