Objective:To investigate the clinical efficacy of cervical cerclage in singleton pregnancy with different degrees of short cervix.Methods:The clinical data of singleton pregnant women who underwent transvaginal ultrasound examination at 18-24 +6 weeks of gestation and found cervical dilation with cervical length (CL) ≤20 mm, and without history of spontaneous preterm delivery or late abortion in Women′s Hospital, Zhejiang University School of Medicine from January 2021 to September 2023 were collected and retrospectively analyzed. According to the case control matching, 78 pregnant women in the cerclage group and 78 women in the conservative treatment group were finally included. The pregnancy outcomes and neonatal prognosis of the two groups were compared. Meanwhile, the two groups of pregnant women were divided into three subgroups for stratification (CL≤10, 11-15, 16-20 mm). Multivariate logistic regression analysis and Kaplan-Meier curve were used to evaluate the effect of cervical cerclage on pregnancy outcomes in different subgroups. Results:(1) Compared with the conservative treatment group, the gestational age at delivery (median: 36 vs 37 weeks) and the duration of pregnancy extension (median: 90 vs 97 days) in the cerclage group were not significantly prolonged (all P>0.05). There was no significant difference in the cumulative non-delivery rate between the cerclage group and the conservative treatment group ( P=0.143). The rate of neonatal intensive care unit (NICU) admission in the cerclage group was significantly higher than that in the conservative treatment group (46.1% vs 31.2%, P<0.001), but there were no significant differences in other neonatal outcomes between the two groups (all P>0.05). (2) CL 16-20 mm subgroup: compared with the conservative treatment group (28 cases), the cerclage group (18 cases) had a significantly higher rate of preterm birth before 37 weeks of gestation (3.6% vs 6/18, P<0.001) and a significantly lower neonatal birth weight (median: 3 370 vs 2 925 g, P<0.001). There was no significant difference in the cumulative non-delivery rate between the cerclage group and the conservative treatment group ( P=0.168). (3) CL 11-15 mm subgroup: compared with the conservative treatment group (26 cases), the gestational age of delivery in the cerclage group (32 cases) was later (median: 36 and 37 weeks, respectively), and the difference was statistically significant ( P<0.05). The cumulative non-delivery rate in the cerclage group was significantly higher than that in the conservative treatment group ( P=0.001). (4) CL≤10 mm subgroup: compared with the conservative treatment group (24 cases), the pregnant women in the cerclage group (28 cases) had a later gestational age at delivery (median: 34 vs 37 weeks), a longer duration of pregnancy (median: 74 vs 97 days), and a larger newborn birth weight (median: 2 300 vs 3 165 g). The rates of preterm birth before 34 weeks of gestation (45.8% vs 14.3%) and before 37 weeks of gestation (83.3% vs 39.3%) were lower, and the differences were all statistically significant (all P<0.05). The cumulative non-delivery rate of pregnant women in the cerclage group was significantly higher than that in the conservative treatment group ( P<0.001). Conclusion:Cervical cerclage could significantly prolong the gestational weeks and improve the perinatal outcomes for singleton pregnant women with cervical internal orifice dilation and CL≤15 mm without a history of spontaneous preterm delivery or late abortion.

Objective To examine resting-state whole-brain network connectivity in children with Chinese developmental dyslexia(DD)and typically developing(TD)children using functional near-infrared spectroscopy(fNIRS).Methods From November to December,2024,19 DD children aged six to twelve years in Children's Hospital of Fudan University were enrolled,along with 18 TD children matching age and sex.Regions of interest included frontal cortex(FC),temporal lobe(TL),occipital lobe(OL)and parietal lobe(PL).Resting-state data were acquired by fNIRS for five minutes in both groups.Functional connectivity strength was calculated at rest,and between-group differences in connectivity strength and brain networks were compared,based on the time series of oxyhe-moglobin concentration.Results The whole-brain functional connectivity strength was higher in DD group than in TD group(t=2.100,P<0.05).Connectivity between the right OL-right FC(t=2.426,P<0.05),right OL-left FC(t=2.483,P<0.05),right TL-right FC(t=2.568,P<0.05)and right TL-left FC(t=2.304,P<0.05)were stonger in DD group than in TD group.The major regions exhibiting differences of whole-brain connectivity between two groups were the right dorsolateral prefrontal cortex,right visual association cortex,right frontal cortex,left orbitofrontal cortex,left visual association cortex,left primary visual cortex and right primary motor cortex.Conclusion Children with DD exhibited significantly stronger connectivity in the right occipital and temporal lobes,as well as between these regions and the prefrontal cortex,suggesting possible right-hemispheric compensation for insufficiency in the left-hemisphere reading network.

Objective:To investigate the clinical efficacy of cervical cerclage in singleton pregnancy with different degrees of short cervix.Methods:The clinical data of singleton pregnant women who underwent transvaginal ultrasound examination at 18-24 +6 weeks of gestation and found cervical dilation with cervical length (CL) ≤20 mm, and without history of spontaneous preterm delivery or late abortion in Women′s Hospital, Zhejiang University School of Medicine from January 2021 to September 2023 were collected and retrospectively analyzed. According to the case control matching, 78 pregnant women in the cerclage group and 78 women in the conservative treatment group were finally included. The pregnancy outcomes and neonatal prognosis of the two groups were compared. Meanwhile, the two groups of pregnant women were divided into three subgroups for stratification (CL≤10, 11-15, 16-20 mm). Multivariate logistic regression analysis and Kaplan-Meier curve were used to evaluate the effect of cervical cerclage on pregnancy outcomes in different subgroups. Results:(1) Compared with the conservative treatment group, the gestational age at delivery (median: 36 vs 37 weeks) and the duration of pregnancy extension (median: 90 vs 97 days) in the cerclage group were not significantly prolonged (all P>0.05). There was no significant difference in the cumulative non-delivery rate between the cerclage group and the conservative treatment group ( P=0.143). The rate of neonatal intensive care unit (NICU) admission in the cerclage group was significantly higher than that in the conservative treatment group (46.1% vs 31.2%, P<0.001), but there were no significant differences in other neonatal outcomes between the two groups (all P>0.05). (2) CL 16-20 mm subgroup: compared with the conservative treatment group (28 cases), the cerclage group (18 cases) had a significantly higher rate of preterm birth before 37 weeks of gestation (3.6% vs 6/18, P<0.001) and a significantly lower neonatal birth weight (median: 3 370 vs 2 925 g, P<0.001). There was no significant difference in the cumulative non-delivery rate between the cerclage group and the conservative treatment group ( P=0.168). (3) CL 11-15 mm subgroup: compared with the conservative treatment group (26 cases), the gestational age of delivery in the cerclage group (32 cases) was later (median: 36 and 37 weeks, respectively), and the difference was statistically significant ( P<0.05). The cumulative non-delivery rate in the cerclage group was significantly higher than that in the conservative treatment group ( P=0.001). (4) CL≤10 mm subgroup: compared with the conservative treatment group (24 cases), the pregnant women in the cerclage group (28 cases) had a later gestational age at delivery (median: 34 vs 37 weeks), a longer duration of pregnancy (median: 74 vs 97 days), and a larger newborn birth weight (median: 2 300 vs 3 165 g). The rates of preterm birth before 34 weeks of gestation (45.8% vs 14.3%) and before 37 weeks of gestation (83.3% vs 39.3%) were lower, and the differences were all statistically significant (all P<0.05). The cumulative non-delivery rate of pregnant women in the cerclage group was significantly higher than that in the conservative treatment group ( P<0.001). Conclusion:Cervical cerclage could significantly prolong the gestational weeks and improve the perinatal outcomes for singleton pregnant women with cervical internal orifice dilation and CL≤15 mm without a history of spontaneous preterm delivery or late abortion.

Objective To examine resting-state whole-brain network connectivity in children with Chinese developmental dyslexia(DD)and typically developing(TD)children using functional near-infrared spectroscopy(fNIRS).Methods From November to December,2024,19 DD children aged six to twelve years in Children's Hospital of Fudan University were enrolled,along with 18 TD children matching age and sex.Regions of interest included frontal cortex(FC),temporal lobe(TL),occipital lobe(OL)and parietal lobe(PL).Resting-state data were acquired by fNIRS for five minutes in both groups.Functional connectivity strength was calculated at rest,and between-group differences in connectivity strength and brain networks were compared,based on the time series of oxyhe-moglobin concentration.Results The whole-brain functional connectivity strength was higher in DD group than in TD group(t=2.100,P<0.05).Connectivity between the right OL-right FC(t=2.426,P<0.05),right OL-left FC(t=2.483,P<0.05),right TL-right FC(t=2.568,P<0.05)and right TL-left FC(t=2.304,P<0.05)were stonger in DD group than in TD group.The major regions exhibiting differences of whole-brain connectivity between two groups were the right dorsolateral prefrontal cortex,right visual association cortex,right frontal cortex,left orbitofrontal cortex,left visual association cortex,left primary visual cortex and right primary motor cortex.Conclusion Children with DD exhibited significantly stronger connectivity in the right occipital and temporal lobes,as well as between these regions and the prefrontal cortex,suggesting possible right-hemispheric compensation for insufficiency in the left-hemisphere reading network.

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 factors influencing prognosis in patients with acute myocardial infarction complicated with cardiogenic shock undergoing primary percutaneous coronary intervention(PPCI).Methods Patients with acute myocardial infarction complicated with cardiogenic shock who underwent PPCI at our hospital between January 2015 and December 2019 were enrolled.Clinical baseline characteristics,coronary angiography and PCI-related parameters,and mechanical support information were collected.The patients were followed up for one year and divided into survival and death groups based on their survival status within one year.Differences in various factors between the two groups were compared.Results A total of 40 patients were enrolled,including 26 in the survival group and 14 in the death group.There were no differences in baseline data,diagnosis,risk factors,and comorbidities between the two groups.The survival group had a lower heart rate and higher blood pressure trend at admission compared to the death group.Myocardial enzymes were significantly lower in the survival group compared to the death group(median CK peak:496.00(198.25,2 830.00)U/L vs.3 040.00(405.75,5 626.53)U/L,P=0.003;median CK-MB peak:52.65(31.75,219.50)U/L vs.306.00(27.25,489.63)U/L,P=0.006).When comparing coronary angiography and PCI-related indicators between the two groups,the survival group had a higher rate of complete revascularization compared to the control group(53.85％vs.21.43％,P=0.048).The survival group had a higher proportion of extracorporeal membrane oxygenation(ECMO)combined with intra-aortic balloon pump(IABP)support compared to the control group[38.46％vs.7.14％,P=0.034].Conclusions Survival in patients with acute myocardial infarction complicated with cardiogenic shock undergoing PPCI is associated with lower level of myocardial enzymes,ECMO combined with IABP support and complete revascularization.

Objective To observe the value of self-supervised deep learning artificial intelligence(AI)noise reduction technology based on the nearest adjacent layer applicated in ultra-low dose CT(ULDCT)for urinary calculi.Methods Eighty-eight urinary calculi patients were prospectively enrolled.Low dose CT(LDCT)and ULDCT scanning were performed,and the effective dose(ED)of each scanning protocol were calculated.The patients were then randomly divided into training set(n=75)and test set(n=13),and a self-supervised deep learning AI noise reduction system based on the nearest adjacent layer constructed with ULDCT images in training set was used for reducing noise of ULDCT images in test set.In test set,the quality of ULDCT images before and after AI noise reduction were compared with LDCT images,i.e.Blind/Referenceless Image Spatial Quality Evaluator(BRISQUE)scores,image noise(SDROI)and signal-to-noise ratio(SNR).Results The tube current,the volume CT dose index and the dose length product of abdominal ULDCT scanning protocol were all lower compared with those of LDCT scanning protocol(all P＜0.05),with a decrease of ED for approximately 82.66％.For 13 patients with urinary calculi in test set,BRISQUE score showed that the quality level of ULDCT images before AI noise reduction reached 54.42％level but raised to 95.76％level of LDCT images after AI noise reduction.Both ULDCT images after AI noise reduction and LDCT images had lower SDROI and higher SNR than ULDCT images before AI noise reduction(all adjusted P＜0.05),whereas no significant difference was found between the former two(both adjusted P＞0.05).Conclusion Self-supervised learning AI noise reduction technology based on the nearest adjacent layer could effectively reduce noise and improve image quality of urinary calculi ULDCT images,being conducive for clinical application of ULDCT.

Objective Studies on the relationship between iodine,vitamin A(VA),and vitamin D(VD)and thyroid function are limited.This study aimed to analyze iodine and thyroid-stimulating hormone(TSH)status and their possible relationships with VA,VD,and other factors in postpartum women. Methods A total of 1,311 mothers(896 lactating and 415 non-lactating)from Hebei,Zhejiang,and Guangxi provinces were included in this study.The urinary iodine concentration(UIC),TSH,VA,and VD were measured. Results The median UIC of total and lactating participants were 142.00 μg/L and 139.95 μg/L,respectively.The median TSH,VA,and VD levels in all the participants were 1.89 mIU/L,0.44 μg/mL,and 24.04 ng/mL,respectively.No differences in the UIC were found between lactating and non-lactating mothers.UIC and TSH levels were significantly different among the three provinces.The rural UIC was higher than the urban UIC.Obese mothers had a higher UIC and a higher prevalence of excessive TSH.Higher UICs and TSHs levels were observed in both the VD deficiency and insufficiency groups than in the VD-sufficient group.After adjustment,no linear correlation was observed between UIC and VA/VD.No interaction was found between vitamins A/D and UIC on TSH levels. Conclusion The mothers in the present study had no iodine deficiency.Region,area type,BMI,and VD may be related to the iodine status or TSH levels.

Objective:To analyze the related literature of pulmonary rehabilitation research at home and abroad, understand its research focus and development trend, and provide a reference and basis for future pulmonary rehabilitation research.Methods:Literature related to pulmonary rehabilitation published in the database of Web of Science and China National Knowledge Infrastructure from January 2015 to February 2022 was retrieved, and the contents such as the number of articles published annually, authors, research institutions, and high-frequency keywords were visually analyzed by bibliometrics and CiteSpace software.Results:The number of articles published each year showed an obvious upward trend from 2015, and the number of Chinese documents was higher than that of English documents from 2019 to 2020. MARTIJN A SPRUIT was the author with the largest number of articles published in English, with a total of 65 articles published, with close cooperation among scholars. Che Guowei was the author with the largest number of articles published in Chinese literature, with 13 articles published in total. The cooperation among the authors was relatively lacking and scattered. The main research institutions abroad were universities, and the institution with the highest number of papers was Maastricht University in the Netherlands, with a total of 85 articles. The research institutions cooperated closely and formed a cooperation network. Hospitals were the main research institutions in China, and the thoracic surgery Department of West China Hospital of Sichuan University had the highest total number of publications, with 14 articles. The cooperation among institutions was not close, and there was a lack of cooperation with universities and scientific research institutions. Through keyword co-occurrence and clustering and timeline view analysis, it was concluded that the research hotspots in this field were pulmonary rehabilitation of patients with different chronic respiratory diseases, the influence of pulmonary rehabilitation on lung function and quality of life of patients with chronic obstructive pulmonary disease, and the intervention methods of pulmonary rehabilitation. The future trend was predicted as the clinical application value of pulmonary rehabilitation in the treatment of lung cancer.Conclusions:At present, pulmonary rehabilitation research is in a stable development period. However, the cooperation between domestic authors and institutions is not close enough compared with foreign countries. In the future, China should strengthen the communication and cooperation between research teams, and learn from foreign research results to further develop the application of pulmonary rehabilitation in lung cancer patients, to promote the development of pulmonary rehabilitation research in China.

Background/Aims: The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation. Methods: We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals. Results: A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers.The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers. Conclusions We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.