Objective:To explore the diagnostic value of first-trimester and mid-trimester ultrasound in screening fetal pentalogy of Cantrell, and to analyze missed and misdiagnosed cases.Methods:The fetal ultrasound image characteristics of pentalogy of Cantrell diagnosed in the Affiliated Suzhou Hospital of Nanjing Medical University from March 2018 to November 2022 were retrospectively analyzed. The necessary sections and key features of ultrasound images for diagnosing the disease in first-trimester and mid-trimester were summarized. The diagnostic value of ultrasound screenings in first-trimester and mid-trimester was analyzed, and the progression of the disease during pregnancy was understood, the missed diagnosis rate and misdiagnosis rate were calculated, and the reasons for missing diagnosis were analyzed. All fetuses were followed up to birth or induction of labor.Pentalogy of Cantrell was divided into types Ⅰ, Ⅱ, and Ⅲ according to Toyama′s research.Results:Among the 120 190 fetuses, 13 cases of pentalogy of Cantrell were diagnosed by ultrasound in first-trimester and mid-trimester. Ultrasound predominantly showed the fetal heart being malpositioned outside the chest and the fetal abdominal contents bulging outside the abdominal cavity, and the sternumal echo was partially or completely missed in some cases. All 13 cases were confirmed by follow-up, including 1 case of type Ⅱ, and 12 cases of type Ⅲ. In addition, 1 missed case of type Ⅱ pentalogy of Cantrell was followed up after birth. The correct diagnostic rates of fetal pentalogy of Cantrell using standard ultrasound sections during the first-trimester and mid-trimester were 99.9% and 100%, the sensitivity were 88.9% and 100%, the specificity were both 100%, the positive predictive values were both 100%, and the negative predictive values were 99.9% and 100%, respectively.Conclusions:First-trimester and mid-trimester ultrasound screenings have high diagnostic accuracy for pentalogy of Cantrell, and early detection and early diagnosis are of great clinical significance for the guidance of pregnancy outcomes.

Objective To compare the dosimetric effects of volume modulated arc therapy(VMAT)and intensity modulated radiation therapy(I M RT)on the anal sphincter(AS)and its sub-structures in neoadjuvant radiotherapy for rectal cancer to facilitate the selection of radiotherapy techniques.Methods Fifty rectal cancer patients receiving neoadjuvant radiotherapy were selected,and 2 types of radiotherapy plans,including coplanar double full-arc VMAT and coplanar seven-field homo-geneous IMRT,were designed based on the CT images of the patients,respectively.Under the premise of ensuring that the irradiated doses to the target area and the major organs at risk reached the standard and met the clinical requirements,AS and its substructures were added as the organs at risk for dosimetric evaluation.The absolute dose parameters and relative dose parameters of AS and its substructures were counted by dose-volume histograms.Statistical analysis was performed using IBM SPSS 22.0 software.Results The VMAT plan had the relative dose parameters V20,V30,and V40 of AS and its substructures lower those of the IMRT plan,the differences were statistically significant(P＜0.05),while the differences in V5 and V 10 were not statistically significant(P＞0.05).The VMAT plan had the absolute dose parameterDmeanlower while the D2％slightly higher than those of the IMRT plan,the differences were statistically significant(P＜0.05).The difference in D98％between the two plans was not statistically significant(P＞0.05).Conclusion During rectal cancer radiotherapy VMAT generally behaves better than IMRT in protecting AS and its sub-structures and decreasing injuries of AS and its sub-structures dosimetrically.[Chinese Medical Equipment Journal,2024,45(8):63-67]

Objective:To establish reference ranges of central nervous system-related fetal intracranial markers during the first trimester in a local population of Suzhou.Methods:Ultrasound images of fetuses with normal birth outcomes in singleton pregnancies who underwent nuchal translucency(NT) screening during the first trimester (11-13 + 6 gestational weeks) from January 2021 to July 2022 at the Affiliated Suzhou Hospital of Nanjing Medical University were retrospectively selected. The images including 3 planes: the midsagittal plane of the fetal head, also known as the plane for NT measurement, the trans-ventricular plane of the fetal head, and the axial plane of the fetal head at the posterior fossa level. The brainstem (BS) thickness, brainstem to occipital bone distance (BSOB), the ratio of BS to BSOB (BS/BSOB), intracranial translucency (IT) thickness, cisterna magna (CM) width, and the midbrain (MB) to falx (F) ratio MB/F were measured in the mid-sagittal plane of the fetal head. Choroid plexus length (CPL) to occipital frontal diameter (OFD) ratio CPL/OFD, and choroid plexus area (CPA) to head area (HA) ratio CPA/HA were measured in the trans-ventricular plane of the fetal head. Anteroposterior diameter of the fourth ventricle (4V) and CM were measured in the axial plane of the fetal head at the posterior fossa level.Statistical analysis was performed to obtain the corresponding normal reference range.Intra-class correlation coefficient (ICC) was used to analyze intra-observer and inter-observer consistency. Pearson correlation analysis and linear correlation analysis were used to study the correlations between crown-lump length (CRL) and intracranial markers, and the regression equation was derived. Results:A total of 2 331 fetuses were enrolled, providing 1 023 images of the midsagittal plane, 817 images of the trans-ventricular plane, and 567 images of the axial plane of the fetal head at the posterior fossa level. The intra-observer and inter-observer ICCs of intracranial markers BS, BSOB, BS/BSOB, IT thickness, CM width, MB/F in the mid-sagittal plane, the intracranial markers CPL/OFD, CPA/HA on the trans-ventricular plane, and the intracranial markers 4V and CM width in the axial plane at the posterior fossa level were all >0.75. Fetal intracranial markers were linearly correlated with CRL. The midsagittal plane: BS, BSOB, BS/BSOB, IT thickness, CM width, MB/F were linearly correlated with CRL ( r=0.508, 0.626, -0.234, 0.105, 0.508, -0.493; all P<0.05); the trans-ventricular plane: CPL/OFD, CPA/HA were linearly correlated with CRL( r=-0.324, -0.268; all P<0.001); the axial plane of the fetal head at the posterior fossa level: 4V, CM width were linearly correlated with CRL ( r=0.246, 0.467; all P<0.001). Conclusions:Quantitative analysis of fetal intracranial markers in the first trimester is feasible. This study constructed a normal reference range of multiple intracranial markers related to central nervous system in the first trimester with a local population of Suzhou. And the construction of this normal range can provide an objective basis for the detection of fetal central nervous system malformations in the first trimester.

Objective: To analyze the course of disease and epidemiological parameters of COVID-19 and provide evidence for making prevention and control strategies. Methods: To display the distribution of course of disease of the infectors who had close contacts with COVID-19 cases from January 1 to March 15, 2020 in Guangdong Provincial, the models of Lognormal, Weibull and gamma distribution were applied. A descriptive analysis was conducted on the basic characteristics and epidemiological parameters of course of disease. Results: In total, 515 of 11 580 close contacts were infected, with an attack rate about 4.4%, including 449 confirmed cases and 66 asymptomatic cases. Lognormal distribution was fitting best for latent period, incubation period, pre-symptomatic infection period of confirmed cases and infection period of asymptomatic cases; Gamma distribution was fitting best for infectious period and clinical symptom period of confirmed cases; Weibull distribution was fitting best for latent period of asymptomatic cases. The latent period, incubation period, pre-symptomatic infection period, infectious period and clinical symptoms period of confirmed cases were 4.50 (95%CI:3.86-5.13) days, 5.12 (95%CI:4.63-5.62) days, 0.87 (95%CI:0.67-1.07) days, 11.89 (95%CI:9.81-13.98) days and 22.00 (95%CI:21.24-22.77) days, respectively. The latent period and infectious period of asymptomatic cases were 8.88 (95%CI:6.89-10.86) days and 6.18 (95%CI:1.89-10.47) days, respectively. Conclusion: The estimated course of COVID-19 and related epidemiological parameters are similar to the existing data.
COVID-19 ; Cohort Studies ; Contact Tracing ; Humans ; Incidence ; Prospective Studies

Objective: To describe the distribution characteristics of coronary heart disease in adult twins recruited from Chinese Twin Registry (CNTR), and provide clues and evidence for the effect of genetic and environmental influences on coronary heart disease. Methods: By using the data of CNTR during 2010-2018, a total of 34 583 twin pairs aged ≥18 years who completed questionnaire survey and had related information were included in the current study to analyze the population and area distribution characteristics of coronary heart disease. Random effect models were used to compare the differences between groups. The concordane rate of coronary heart disease were calculated respectively in monozygotic (MZ) twin pairs and dizygotic (DZ) twin pairs to estimate the heritability. Results: The twin pairs included in this analysis were aged (34.2±12.4) years. The overall prevalence rate of coronary heart disease in twin pairs was 0.7%. Twin pairs who were women, older, obese and lived in northern China had higher prevalence of coronary heart disease (P<0.05). Intra-pair analysis in the same-sex twin pairs found that the concordane rate of coronary heart disease was higher in MZ twin pairs (25.3%) than in DZ twins (7.4%), and the difference was statistically significant (P<0.001). The overall heritability of coronary heart disease was 19.3% (95%CI: 11.8%-26.8%). Stratified by gender, age and area, the concordane rate was still higher in MZ twin pairs than in DZ pairs. Participants who were women, aged 18-30 years or ≥60 years and lived in northern China had a higher heritability of coronary heart disease. Conclusion: The distribution of coronary heart disease in twin pairs differed in populations and areas. The prevalence of coronary heart disease was affected by genetic factors, but the effect varied with age, gender and area.
Adolescent ; Adult ; China/epidemiology* ; Coronary Disease/genetics* ; Diseases in Twins/genetics* ; Female ; Humans ; Male ; Twins, Dizygotic ; Twins, Monozygotic/genetics*

Anomalous aortic origin of a coronary artery is a rare abnormal coronary artery development disease, which affects myocardial blood perfusion in the absence of significant coronary artery stenosis. Such patients have a high risk of sudden death, and their disease progresses rapidly, and their clinical manifestations are easily confused with myocardial diseases. We report a case of a 13-year-old young patient whose diagnosis was confirmed, the condition was stabilized at an early stage, and the abnormal coronary structure was corrected by coronary decapitation through a multidisciplinary combination of cardiology, cardiac surgery, ICU, and imaging. This article focuses on the diagnosis and treatment of these patients.

Objective:To explore the relationship between soft markers found in the first trimester (11-13 + 6 gestational weeks) ultrasound screening and fetal adverse pregnancy outcomes. Methods:Single pregnancy fetuses were selected from the Multicenter Clinical Study of First Trimester Screening in China during August 2017 to August 2020. The types and detection rate of soft markers during the first trimester were compared. The correlation between positive soft markers and adverse pregnancy outcomes was analyzed by binary Logistics regression.Results:A total of 16 625 fetuses with complete follow-up outcomes were included in the group. Six hundred and seven ultrasonic soft markers were detected in 556 fetuses with positive soft markers during the first trimester, and the first four most frequently occurred were increased nuchal translucency (NT) (2.08%, 345/16 625), echogenic intracardiac focus (EIF) (0.94%, 156/16 625), hypoplasia of fetal nasal bone (0.20%, 34/16 625), single umbilical artery (SUA) (0.19%, 31/16 625). Among 556 fetuses, the incidence of adverse pregnancy outcome in fetuses with two or more positive soft markers was 32.50% (13/40), which was significantly higher than fetuses with single positive soft marker (11.05%, 57/516), and the difference was statistically significant (χ 2=5.055, P<0.001). The incidence of adverse pregnancy outcome in positive soft markers fetus associated with structural abnormalities was 80.77% (21/26), which was significantly higher than fetuses with isolated positive soft marker (12.08%, 64/530), and the difference was statistically significant (χ 2=90.310, P<0.001). Binary logistic regression analysis showed choroid plexus cyst (CPC), SUA, echogenic bowel (EB), absent/reversed a-wave of ductus venosus, hypoplasia of fetal nasal bone, increased NT, and EIF were closely related to the adverse pregnancy outcomes (all P<0.05). However, there were no significant correlations between tricuspid regurgitation (TR), pyelectasis (PYE) and fetal adverse pregnancy outcomes (all P>0.05). Conclusions:The ultrasonic soft markers during the first trimester are of great significance in predicting fetal adverse pregnancy outcomes. For multiple positive soft markers or positive soft markers combined with structural abnormalities, more attention should be paid to them and comprehensive evaluation is required to be carried out.

OBJECTIVE: To examine whether the combination of Naoxintong Capsule with standard care could further reduce the recurrence of ischemic stroke without increasing the risk of severe bleeding. METHODS: A total of 23 Chinese medical centers participated in this trial. Adult patients with a history of ischemic stroke were randomly assigned in a 1:1 ratio using a block design to receive either Naoxintong Capsule (1.2 g orally, twice a day) or placebo in addition to standard care. The primary endpoint was recurrence of ischemic stroke within 2 years. Secondary outcomes included myocardial infarction, death due to recurrent ischemic stroke, and all-cause mortality. The safety of drugs was monitored. Results were analyzed using the intention-to-treat principle. RESULTS: A total of 2,200 patients were enrolled from March 2015 to March 2016, of whom 143 and 158 in the Naoxintong and placebo groups were lost to follow-up, respectively. Compared with the placebo group, the recurrence rate of ischemic stroke within 2 years was significantly lower in the Naoxintong group [6.5% vs. 9.5%, hazard ratio (HR): 0.665, 95% confidence interval (CI): 0.492-0.899, P=0.008]. The two groups showed no significant differences in the secondary outcomes and safety, including rates of severe hemorrhage, cerebral hemorrhage and subarachnoid hemorrhage (P>0.05). CONCLUSION The combination of Naoxintong Capsule with standard care reduced the 2-year stroke recurrence rate in patients with ischemic stroke without increasing the risk of severe hemorrhage in high-risk patients. (Trial registration No. NCT02334969).
Adult ; Humans ; Secondary Prevention/methods* ; Ischemic Stroke ; Stroke/prevention & control* ; Cerebral Hemorrhage/complications* ; Double-Blind Method ; Platelet Aggregation Inhibitors

Diatom test is the main laboratory test method in the diagnosis of drowning in forensic medicine. It plays an important role in differentiating the antemortem drowning from the postmortem drowning and inferring drowning site. Artificial intelligence (AI) automatic diatom test is a technological innovation in forensic drowning diagnosis which is based on morphological characteristics of diatom, the application of AI algorithm to automatic identification and classification of diatom in tissues and organs. This paper discusses the morphological diatom test methods and reviews the research progress of automatic diatom recognition and classification involving AI algorithms. AI deep learning algorithm can assist diatom testing to obtain objective, accurate, and efficient qualitative and quantitative analysis results, which is expected to become a new direction of diatom testing research in the drowning of forensic medicine in the future.
Artificial Intelligence ; Autopsy ; Diatoms ; Drowning/diagnosis* ; Humans ; Lung

OBJECTIVES: To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognition to provide data reference for automatic diatom testing research in forensic medicine. METHODS: The "diatom" and "background" small sample size data set (20 000 images) of digestive fluid smear of corpse lung tissue in water were built to train, validate and test four convolutional neural network (CNN) models, including VGG16, ResNet50, InceptionV3 and Inception-ResNet-V2. The receiver operating characteristic curve (ROC) of subjects and confusion matrixes were drawn, recall rate, precision rate, specificity, accuracy rate and F1 score were calculated, and the performance of each model was systematically evaluated. RESULTS: The InceptionV3 model achieved much better results than the other three models with a balanced recall rate of 89.80%, a precision rate of 92.58%. The VGG16 and Inception-ResNet-V2 had similar diatom recognition performance. Although the performance of diatom recall and precision detection could not be balanced, the recognition ability was acceptable. ResNet50 had the lowest diatom recognition performance, with a recall rate of 55.35%. In terms of feature extraction, the four models all extracted the features of diatom and background and mainly focused on diatom region as the main identification basis. CONCLUSIONS Including the Inception-dependent model, which has stronger directivity and targeting in feature extraction of diatom. The InceptionV3 achieved the best performance on diatom identification and feature extraction compared to the other three models. The InceptionV3 is more suitable for daily forensic diatom examination.
Algorithms ; Deep Learning ; Diatoms ; Humans ; Neural Networks, Computer ; ROC Curve