Objective To investigate the articulation acoustic characteristics of children with spastic cerebral palsy and their correlation with articulation intelligibility.Methods A total of 17 children with cerebral palsy and 17 ordinary children aged 6-12 years were included in the study,and the articulation acoustics and articulation intelligi-bility performance of the two types of children were compared by using three kinds of corpus:monophthong,single word and sentence,and the correlation between them was studied.Results The articulation intelligibility of the monophthong,single word and sentence corpus of children with spastic cerebral palsy was lower than that of ordina-ry children(P＜0.01),as follows:monophthong＞single word＞sentence.In the monophthong corpus,only mandibular distance and tongue distance were significantly lower than that of ordinary children(P＜0.05),and only mandibular distance and vowel space area(VSA)were significantly correlated with articulation intelligibility(P＜0.05).In the single word corpus,mandibular distance,tongue distance and VSA were significantly lower than that of ordinary children,while vowel ellipse area(VEA)was significantly higher than that of ordinary children(P＜0.05).All other indexes except VSA and formant centralization ratio(FCR)were significantly correlated with artic-ulation intelligibility(P＜0.05).In the sentence corpus,all the other indexes except mandibular distance were sig-nificantly worse than those of ordinary children(P＜0.05),and all the acoustic indexes were significantly correlated with articulation intelligibility(P＜0.05).Conclusion Children with cerebral palsy have poor articulation acoustic cha-racteristics and articulation intelligibility,and the corpus complexity will affect the degree of correlation between the two.

Objective:To analyze the epidemiological information of oral leukoplakia and explore the relationship between clinical characteristics and different degrees of epithelial dysplasia.Methods:A total of 430 patients with oral leukoplakia confirmed by pathology in the Department of Oral Medicine, Shanghai Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine from February 2013 to May 2021 were enrolled. Epidemiological information was recorded, and univariate and multivariate Logistic regression analysis were performed on age, gender, smoking, drinking, lesion size, lesion site and lesion type to evaluate the correlation between the risk factors and the degree of epithelial dysplasia in oral leukoplakia.Results:A total of 430 valid samples were included in this study, among which 23 patients were diagnosed with oral leukoplakia with concurrent cancer. The age of all patients was (52.9±12.9) years (22-85 years); 213 were male and 217 were female. One hundred and seventy-six cases (40.9%) had lesions on the lateral and ventral tongue, and 254 cases (59.1%) had lesions in other locations. Three hundred and two cases (70.2%) had homogeneous lesions, and 128 cases (29.8%) had heterogeneous lesions. The degrees of epithelial dysplasia included none [11.9% (51/430)], mild [51.9% (223/430)], moderate [24.4% (105/430)], severe [6.5% (28/430)], and concurrent cancer [5.3% (23/430)]. Smoking, drinking, and gender were correlated with the degree of epithelial dysplasia in some binary classification systems, while tongue (border and ventral) and non-homogeneous damage were significantly correlated with higher degrees of epithelial dysplasia in all binary classification systems ( P<0.05). Conclusions:Lesions on the lateral or ventral tongue and heterogeneous lesions are significantly associated with higher degrees of dysplasia, suggesting that clinicians should pay more attention to these types of oral leukoplakia during the follow-up monitoring process.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

Objective:To investigate risk factors for permanent hypoparathyroidism (PHPP) after total thyroidectomy in patients with differentiated thyroid carcinoma (DTC).Methods:The clinical data of 316 DTC patients who underwent total thyroidectomy at our hospital from Jan 2020 to Jan 2023 were retrospectively analyzed. Patients were divided into normal parathyroid function group (284 cases) and hypoparathyroidism group (32 cases) according to whether parathyroid function was decreased. The clinical examination, intraoperative conditions and postoperative pathological data of the two groups were statistically analyzed.Results:Logistic regression analysis showed that: serum calcium on the first postoperative day ( OR=0.163, P<0.05), parathyroid hormon (PTH) on the first postoperative day ( OR=0.958, P<0.05), bilateral lymph node dissection ( OR=3.138, P<0.05), accidental resection of parathyroid (PG) ( OR=2.614, P<0.05), posterior capsule tumor invasion ( OR=3.336, P<0.05) and multiple cancer foci ( OR=2.664, P<0.05) were independent risk factors for PHPP after total thyroidectomy. Conclusion:Postoperative day 1 serum calcium, postoperative day 1 PTH, bilateral lymph node dissection, accidental resection of PG, posterior capsule invasion and multiple cancer foci are independent risk factors for PHPP after total thyroidectomy.

Objective:To investigate the factors influencing the metastasis of right-sided lymph nodes posterior to right recurrent laryngeal nerve (LN-prRLN) in patients with papillary thyroid microcarcinoma (PTMC) at cN 0 stage, to construct a nomogram prediction model for metastasis of right-sided LN-prRLN in patients with PTMC at cN 0 stage and to provide the decision reference for the dissection of right-sided LN-prRLN. Methods:A retrospective case-controlled study was conducted. The clinical data of patients receiving right-sided LN-prRLN dissection in Baoding No.1 Central Hospital between January 2023 and June 2024 were collected. All patients were divided into the metastatic group and the normal group according to whether metastasis of right-sided LN-prRLN would happen after the postoperative pathological examination. The differences in the clinicopathological characteristics between the 2 groups were compared, and multivariate logistic regression model was used to screen out the independent risk factors influencing right-sided LN-prRLN. A nomogram prediction model for metastasis of right-sided LN-prRLN based on independent risk factors was built; taking the postoperative pathological examination results as the gold standard, the receiver operating characteristic (ROC) curve was used to evaluate the efficacy of the model in determining the metastasis of right-sided LN-prRLN. Bootstrap internal validation method was used for random sampling to calculate the consistency index (CI) of the model. The calibration curves and clinical decision curves were drawn to respectively verify the calibration degree of the model and the clinical application ability of the model.Results:All 235 patients included 57 males (24.3%) and 178 females (75.7%). The age was (39±13) years old and 47 cases (20.0%) out of 235 patients had the metastasis of right-sided LN-prRLN. The proportion of patients characterized by male, right-sided tumors, tumor diameter > 0.5 cm, extrathyroidal invasion, metastasis of right-sided lymph nodes anterior to right recurrent laryngeal nerve (LN-arRLN) in the metastatic group was higher than that in the normal group, and the differences were statistically significant (all P < 0.05). Multivariate logistic regression analysis showed that male ( OR = 3.705, 95% CI: 1.133-12.116, P = 0.030), right-sided tumors ( OR = 5.610, 95% CI: 1.811-17.381, P = 0.003), the increased tumor diameter ( OR = 3.504, 95% CI: 1.169-10.507, P = 0.025), extrathyroidal invasion ( OR = 2.812, 95% CI: 1.026-7.708, P = 0.044) and right-sided LN-arRLN metastasis ( OR = 10.522, 95% CI: 3.237-34.199, P < 0.001) were independent risk factors of the metastasis of LN-prRLN in PTMC patients at cN 0 stage; based on the above independent risk factors, a nomogram prediction model was established. The ROC curve showed that the area under the curve of the nomogram prediction model for determining the metastasis of right-sided LN-prRLN in PTMC patients at cN 0 stage was 0.864 (95% CI: 0.794-0.935), Youden index was 0.735, the optimal cut-off value was 4.562, the corresponding sensitivity was 87.0%, and the corresponding specificity was 86.5%, which indicated a high predictive value of the nomogram model. Bootstrap test internal validation showed that the CI was 0.810 (95% CI: 0.763-0.917). Calibration curves showed that bias-corrected line was close to the ideal line, indicating a good consistency ( P = 0.347). Decision curve showed a good clinical efficacy. Conclusions:Male, right-sided tumors, the increased tumor diameter, extrathyroidal invasion and right-sided LN-arRLN metastasis are independent risk factors for right-sided LN-prRLN metastases in patients with PTMC at cN 0 stage. The nomogram prediction model based on the above factors has a good predictive performance, which is helpful for surgeons to make clinical decisions.

Objective:To investigate the mechanisms of baicalin in treating septic acute liver injury through a combination of network pharmacology and animal experiments.Methods:Thirty male C57BL/6 mice (6 weeks old) were divided into five groups ( n=6): control group (normal saline), model group [lipopolysaccharide (LPS) 10 mg/kg, intraperitoneal injection], low-dose baicalin group (10 mg/kg), high-dose baicalin group (20 mg/kg), and baicalin-only group (20 mg/kg, without LPS). Baicalin was administered orally for 14 consecutive days prior to modeling. Mice were sacrificed 24 h after LPS injection. Alanine transaminase, aspartate transaminase liver tissue histopathology were measured; neutrophil infiltration was visualized using immunofluorescence; mRNA expression levels of interleukin (IL)-1β, IL-17, IL-6, and tumor necrosis factor (TNF)-α were detected by RT-qPCR; and the expression of Toll-like receptor 4 (TLR4) and phosphorylated nuclear factor (NF)-κB proteins were analyzed by Western blotting. Results:In the LPS model group, the ALT, AST, and histopathological injury score were (148.60±22.02) U/L, (81.58±11.59) U/L, and 8.50(7.75, 9.25), respectively. These indicators were significantly reduced in the high-dose baicalin group with (77.90±16.79) U/L, (49.92±14.89) U/L, and 1.00(1.00, 2.25) (all P<0.05). Compared with the LPS group, neutrophil infiltration in the liver of high-dose baicalin group was also significantly reduced [1.18%(0.98%, 1.22%) vs. 6.13%(5.41%, 8.69%), P<0.05]. RT-qPCR results showed that the relative mRNA expression levels of inflammatory cytokines IL-1β [(1.03±0.06) vs. (2.60±0.34)], IL-17 [(1.21±0.12) vs. (2.94 ± 0.39)], IL-6 [(1.37±0.26) vs. (2.73±0.18)], and TNF-α [(1.18±0.10) vs. (3.30±0.92)] were significantly decreased in the high-dose baicalin group compared with the LPS group (all P<0.05). Western blot analysis revealed that the relative protein expression levels of TLR4 [(1.25±0.13) vs. (1.73±0.06)] and phosphorylated NF-κB [(1.25±0.25) vs. (1.79±0.12)] were also significantly lower in the high-dose baicalin group (both P<0.05). Conclusion:Baicalin reduces liver injury in septic mice by downregula-ting the expression of pro-inflammatory cytokines IL-1β, IL-6, TNF-α, and IL-17, potentially through the inhibition of the TLR4/NF-κB signaling pathway.

Preoperative localization of pulmonary small nodules can effectively improve the safety and success rate of video-assisted thoracoscopic surgery(VATS),but there are still controversies regarding the selection of relevant techniques.Interventional Oncology Committee of the Chinese Anti-Cancer Association organized domestic interventional radiology experts engaged in treatment of pulmonary malignancies,based on clinical experience and evidence-based medical evidence to formulate this Chinese expert consensus on preoperative auxiliary localization techniques for VATS of pulmonary small nodules.

Objective To investigate the articulation acoustic characteristics of children with spastic cerebral palsy and their correlation with articulation intelligibility.Methods A total of 17 children with cerebral palsy and 17 ordinary children aged 6-12 years were included in the study,and the articulation acoustics and articulation intelligi-bility performance of the two types of children were compared by using three kinds of corpus:monophthong,single word and sentence,and the correlation between them was studied.Results The articulation intelligibility of the monophthong,single word and sentence corpus of children with spastic cerebral palsy was lower than that of ordina-ry children(P＜0.01),as follows:monophthong＞single word＞sentence.In the monophthong corpus,only mandibular distance and tongue distance were significantly lower than that of ordinary children(P＜0.05),and only mandibular distance and vowel space area(VSA)were significantly correlated with articulation intelligibility(P＜0.05).In the single word corpus,mandibular distance,tongue distance and VSA were significantly lower than that of ordinary children,while vowel ellipse area(VEA)was significantly higher than that of ordinary children(P＜0.05).All other indexes except VSA and formant centralization ratio(FCR)were significantly correlated with artic-ulation intelligibility(P＜0.05).In the sentence corpus,all the other indexes except mandibular distance were sig-nificantly worse than those of ordinary children(P＜0.05),and all the acoustic indexes were significantly correlated with articulation intelligibility(P＜0.05).Conclusion Children with cerebral palsy have poor articulation acoustic cha-racteristics and articulation intelligibility,and the corpus complexity will affect the degree of correlation between the two.

Objective:To analyze the epidemiological information of oral leukoplakia and explore the relationship between clinical characteristics and different degrees of epithelial dysplasia.Methods:A total of 430 patients with oral leukoplakia confirmed by pathology in the Department of Oral Medicine, Shanghai Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine from February 2013 to May 2021 were enrolled. Epidemiological information was recorded, and univariate and multivariate Logistic regression analysis were performed on age, gender, smoking, drinking, lesion size, lesion site and lesion type to evaluate the correlation between the risk factors and the degree of epithelial dysplasia in oral leukoplakia.Results:A total of 430 valid samples were included in this study, among which 23 patients were diagnosed with oral leukoplakia with concurrent cancer. The age of all patients was (52.9±12.9) years (22-85 years); 213 were male and 217 were female. One hundred and seventy-six cases (40.9%) had lesions on the lateral and ventral tongue, and 254 cases (59.1%) had lesions in other locations. Three hundred and two cases (70.2%) had homogeneous lesions, and 128 cases (29.8%) had heterogeneous lesions. The degrees of epithelial dysplasia included none [11.9% (51/430)], mild [51.9% (223/430)], moderate [24.4% (105/430)], severe [6.5% (28/430)], and concurrent cancer [5.3% (23/430)]. Smoking, drinking, and gender were correlated with the degree of epithelial dysplasia in some binary classification systems, while tongue (border and ventral) and non-homogeneous damage were significantly correlated with higher degrees of epithelial dysplasia in all binary classification systems ( P<0.05). Conclusions:Lesions on the lateral or ventral tongue and heterogeneous lesions are significantly associated with higher degrees of dysplasia, suggesting that clinicians should pay more attention to these types of oral leukoplakia during the follow-up monitoring process.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.