ULTRASOUND IN OBSTETRICS & GYNECOLOGY妇产科超声
ULTRASOUND IN OBSTETRICS & GYNECOLOGY(英文缩写 ULTRASOUND OBST GYN),ISSN 0960-7692,eISSN 1469-0705,中文译名:妇产科超声 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 8.678 | Q1 |
| 2022 | 7.100 | Q1 |
| 2023 | 6.100 | Q1 |
| 2024 | 6.300 | Q1 |
| 2025 | 5.300 | Q1 |
ULTRASOUND IN OBSTETRICS & GYNECOLOGY 最新收录文献
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1. Pericerebral spaces as diagnostic signposts in fetal central nervous system pathologies.
1. 大脑周围空间作为胎儿中枢神经系统疾病的诊断标志PMID:期刊:日期:2026-09-24该文献暂无摘要。
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2. Should the recommendation against maternal rest in fetal growth restriction be revisited?
2. 是否应该重新考虑胎儿生长受限时不建议产妇休息的建议？PMID:期刊:日期:2026-09-20该文献暂无摘要。
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3. Prenatal findings and postnatal outcomes in cases of closed spinal dysraphism: 10-year two-center cohort study.
3. 闭合性脊柱闭合不全病例的产前发现和产后结果：10年双中心队列研究PMID:期刊:日期:2026-09-20To characterize prenatal ultrasound findings in fetuses with prenatally diagnosed closed spinal dysraphism (CSD) and report their postnatal management and functional outcomes at 18 and 36 months. This retrospective cohort study included all fetuses with a prenatal diagnosis of CSD assessed between January 2014 and December 2024 at two tertiary centers (Fetal Medicine Department of Trousseau Hospital, Paris, France, and Department of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium). Lesions were reassessed and classified according to the updated Orphanet classification system for dysraphisms. Cases of open dysraphism, intermediate forms, Currarino syndrome, caudal regression syndrome and postnatally diagnosed cases were excluded. Prenatal imaging findings, pregnancy outcomes, postnatal diagnostic concordance, neurosurgical management and functional outcomes were analyzed. Seventy fetuses with a prenatal diagnosis of CSD were included. Saccular forms of CSD accounted for 85.7% (n = 60) of cases, including 33 (47.1%) cases of limited dorsal myeloschisis, 18 (25.7%) cases of posterior meningocele and nine (12.9%) cases of conus spinal cord lipoma. Most (85.7%) lesions were located at the lumbar or sacral level. Associated structural cerebral anomalies were identified prenatally in 17.1% (n = 12) of cases. There were 59 (84.3%) live births and 11 (15.7%) terminations of pregnancy, including eight cases with major cerebral anomalies. Among liveborn infants with available data on postnatal surgical interventions (n/N = 44/59), postnatal surgery was performed in 90.9% of cases. The prenatal diagnosis was adjusted postnatally in 4/39 (10.3%) cases with available postnatal outcome data. At 36 months, independent ambulation was achieved in 94.4% (17/18) of children with follow-up data available at this time point. In contrast, urinary dysfunction was present in 38.9% of cases at 36 months, while gastrointestinal disorders were less frequent (22.2%). Using the Orphanet classification, prenatal ultrasound examination allows reliable anatomical characterization of CSD in 89.7% of cases. Motor outcomes are generally favorable, whereas urological morbidity is observed in nearly half of cases at 18 months. These are important elements to consider in prenatal counseling. © 2026 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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5. Getting rid of the transthalamic plane in fetal screening ultrasound: easier said than done.
5. 在胎儿筛查超声中去除经丘脑平面：说起来容易做起来难PMID:期刊:日期:2026-09-20该文献暂无摘要。
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6. Imaging in gynecological disease (32): clinical and ultrasound characteristics of early abdominal ectopic pregnancy.
6. 妇科疾病的影像学（32）：早期腹腔异位妊娠的临床和超声特征PMID:期刊:日期:2026-09-20To compare clinical and sonographic characteristics of first-trimester abdominal ectopic pregnancy (AEP) with those of tubal ectopic pregnancy (TEP), and to define ultrasound-based diagnostic criteria for AEP. This was a retrospective case-control study comparing cases of AEP diagnosed at four centers with controls diagnosed with TEP, between May 2008 and May 2025. AEP was defined as a pregnancy implanted within the peritoneal cavity outside the uterus, ovaries and Fallopian tubes. We compared demographics, clinical and ultrasound findings and clinical outcomes between the groups. We identified the key ultrasound features of first-trimester AEP and used these to develop refined diagnostic criteria. During the study period, 19 cases of AEP were identified and compared to 57 controls with TEP. The groups were matched for age, parity and gestational age at presentation. Compared with TEP, AEP was more likely to occur in pregnancies conceived via in-vitro fertilization (6/19 (32%) vs 5/57 (9%); odds ratio (OR) 4.80 (95% CI, 1.27-18.21); P = 0.02; adjusted OR (aOR), 5.02 (95% CI, 1.24-20.25); P = 0.02) and patients with AEP were less likely to present with vaginal bleeding (5/18 (28%) vs 40/57 (70%); OR, 0.16 (95% CI, 0.05-0.53); P = 0.003; aOR, 0.17 (95% CI, 0.05-0.64); P = 0.009). With respect to clinical outcomes, patients with AEP were more likely to have significant blood loss (≥ 500 ml) at surgery (4/16 (25%) vs 1/36 (3%); OR, 11.67 (95% CI, 1.18-114.90); P = 0.04) and require blood transfusion (4/19 (21%) vs 0/56 (0%); P = 0.003). Four diagnostic ultrasound criteria for AEP were identified: (1) the presence of a gestational sac or trophoblast separate from the uterus and ovaries; (2) the absence of a hypoechogenic tissue layer surrounding the pregnancy; (3) a negative 'sliding organs' sign; and (4) trophoblastic blood flow arising from the peritoneum detected on color Doppler examination. Assisted conception is a risk factor for a pregnancy implanting into the peritoneal cavity. Early ultrasound diagnosis of AEP is important to reduce the risk of major intra-abdominal bleeding, which is significantly higher in AEP compared with TEP. © 2026 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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7. Sagittal aortic-arch assessment for prenatal diagnosis of coarctation of the aorta: comparative evaluation of 10 published methods and a new predictive model.
7. 矢状主动脉弓评估用于主动脉缩窄的产前诊断：对10种已发表方法和一种新的预测模型的比较评估PMID:期刊:日期:2026-09-19To externally validate the diagnostic performance of 10 previously published fetal echocardiographic sagittal aortic-arch parameters and to develop an optimal predictive model based on these parameters for the prenatal identification of neonatal coarctation of the aorta (CoA). This was a retrospective, multicenter diagnostic cohort study, including pregnancies with suspected fetal CoA and postnatal diagnostic confirmation. Sagittal aortic-arch videoclips obtained from patients at two tertiary referral centers in Thailand between January 2014 and January 2025 were reviewed offline by a single investigator blinded to the final diagnosis to assess 10 predefined echocardiographic parameters of the aortic arch, including vascular diameters, interarterial distances, vessel angles and the presence of a shelf sign. The discriminatory performance of the 10 published predictors for neonatal CoA was evaluated using univariate binary logistic regression and receiver-operating-characteristics (ROC)-curve analysis. A final predictive model was developed by entering the 10 sagittal aortic-arch parameters into a multivariable logistic regression model and applying backward elimination to derive the model with the fewest parameters without compromising discriminatory performance. Of the 154 fetuses included in the study, 82 (53.2%) were subsequently diagnosed with neonatal CoA. Fetuses subsequently diagnosed with neonatal CoA had a significantly longer left common carotid artery-left subclavian artery (LCCA-LSCA) distance (median, 3.12 mm vs 2.14 mm; P = 0.001) and a higher prevalence of the shelf sign (74.4% vs 50.0%; P = 0.002). Among individual parameters, the carotid-subclavian artery index showed the highest diagnostic accuracy for predicting neonatal CoA (area under the ROC curve (AUC), 0.684 (95% CI, 0.600-0.767)). The final multivariable model, incorporating LCCA-LSCA distance, LSCA diameter, descending aortic diameter and the presence of the shelf sign, demonstrated moderate performance (AUC, 0.749 (95% CI, 0.672-0.826)). At a predicted probability cut-off of 0.45, the sensitivity and specificity of the combined model for the prenatal identification of neonatal CoA were 84.1% (95% CI, 74.4-91.3%) and 54.2% (95% CI, 42.0-66.0%), respectively. In fetuses with suspected CoA, a multiparametric predictive model based on sagittal aortic-arch assessment improves prenatal diagnosis compared with previously published methods. A longer LCCA-LSCA distance, the presence of the shelf sign and an increased LSCA diameter are useful for distinguishing true-positive cases of CoA during fetal echocardiography. © 2026 International Society of Ultrasound in Obstetrics and Gynecology.
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8. Incidence of pre-eclampsia in triplet pregnancies with and without embryo reduction.
PMID:期刊:日期:2026-09-19To determine the risk of pre-eclampsia (PE) in triplet pregnancies, with and without embryo reduction, compared to singleton and twin pregnancies. This was a retrospective multicenter study of triplet pregnancies with three live, phenotypically normal fetuses at the 11-13-week scan and a gestational age at delivery of ≥ 24 weeks. The competing-risks model was used to determine the distribution of gestational age at delivery with PE in each type of triplet pregnancy, which was compared to datasets from 1169 twin pregnancies and 61 174 singleton pregnancies from previous cohorts. The relative risks of PE with delivery < 37, < 34 and < 32 weeks' gestation for non-reduced and reduced triplet pregnancies, in comparison with twin and singleton pregnancies, were determined. Overall, 1020 triplet pregnancies were included, of which 456 had expectant management, 468 were reduced to twin pregnancies and 96 were reduced to singleton pregnancies. The incidence of PE with delivery < 37 weeks' gestation was 9.9% for non-reduced triplet pregnancies, 9.8% for triplet pregnancies reduced to twins, 2.1% for triplet pregnancies reduced to singleton, 7.0% for twin pregnancies and 0.8% for singleton pregnancies. The incidence of PE with delivery < 34 weeks was 7.2% for non-reduced triplets, 4.1% for triplets reduced to twins, 0% for triplets reduced to singleton, 0.9% for twins and 0.4% for singletons. In comparison with singleton pregnancies, for non-reduced triplets, the relative risks for PE with delivery < 37 and < 34 weeks were 12.3 (95% CI, 9.1-16.3) and 20.6 (95% CI, 14.4-29.2), respectively. The respective values for triplet pregnancies reduced to twins were 12.2 (95% CI, 9.1-16.2) and 11.6 (95% CI, 7.3-18.2), and for triplet pregnancies reduced to singleton they were 2.6 (95% CI, 0.7-9.1) and 0.0 (95% CI, 0.0-11.0). In comparison with twin pregnancies, for non-reduced triplets the relative risks for PE with delivery < 37 and < 34 weeks were 1.4 (95% CI, 1.0-2.0) and 7.7 (95% CI, 4.0-14.9), respectively. The respective values for triplets reduced to twins were 1.4 (95% CI, 1.0-2.0) and 4.3 (95% CI, 2.1-8.9). For a given set of maternal characteristics and medical history, a non-reduced triplet pregnancy was estimated to deliver with PE, on average, 14.5 weeks earlier than would a singleton pregnancy. Triplet pregnancies reduced to twins were estimated to deliver with PE 12.7 weeks earlier, and those reduced to singleton 6.5 weeks earlier, than would comparable singleton pregnancies. Non-reduced triplet pregnancies have a 21-fold and 8-fold higher risk of delivery with PE at < 34 weeks' gestation compared with singleton and twin pregnancies, respectively. In triplet pregnancies reduced to twins, the relative risk of PE < 34 weeks is 4-fold higher than that in twin pregnancies, whereas in triplet pregnancies reduced to singleton, the risk is similar to that of singleton pregnancies. © 2026 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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9. Real-time gestational-age estimation at 11-13 weeks using artificial intelligence on non-targeted ultrasound sweeps.
9. 利用人工智能在非靶向超声扫描中实现11-13周孕龄的实时估计PMID:期刊:日期:2026-09-14To assess the accuracy of gestational-age estimation using an artificial intelligence (AI) system applied to non-targeted ultrasound sweeps at 11 + 0 to 13 + 6 weeks' gestation. This was an observational study of singleton pregnancies undergoing routine first-trimester ultrasound in July 2025 to August 2025. Gestational age was estimated using crown-rump length (CRL), measured independently by two experienced sonographers blinded to the other's results, and by an AI system applied twice per examination. Comparisons were made using mean absolute error (MAE) and Bland-Altman analysis. A hierarchical measurement error model was used to account for uncertainty in CRL-based estimates and to estimate accuracy relative to a latent true gestational age, with Bayesian inference. Overall, 285 women with a singleton pregnancy were included. The AI model estimated gestational age in all cases, with a median acquisition time of 23 s for the first AI measurement. The MAE between AI- and CRL-based gestational age was 2.1 (95% CI, 1.9-2.3) days for single measurements and 2.0 days when averaging both AI estimates. Limits of agreement were wider for AI-based estimates than for CRL-based estimates, indicating lower precision. When accounting for measurement error in CRL, the estimated MAE for AI was lower (1.8 days for single and 1.6 days for duplicate measurements). CRL-based estimates showed lower variability than AI-based estimates. Within-operator variation was the main source of error in AI measurements. AI-based gestational-age estimation performs well in the first trimester but is less precise than gestational-age estimation using CRL measured by experienced sonographers. Measurement error models give a clearer picture of performance by accounting for variability in CRL and show that the accuracy of AI-based estimates is better than suggested by simple comparisons. © 2026 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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10. Differentiating high- and low-grade serous ovarian carcinoma using radiomics: a pilot study.
10. 使用放射组学区分高、低级别浆液性卵巢癌：一项初步研究PMID:期刊:日期:2026-09-13To identify ultrasound-based radiomics features capable of distinguishing between high-grade serous ovarian carcinomas (HGSC) and invasive low-grade serous ovarian carcinomas (LGSC), and to develop machine-learning models that include radiomics features to discriminate between the two. This was a single-center, analytical, observational, retrospective pilot study of patients referred to Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy, between January 2014 and June 2022 with a histological diagnosis of HGSC or invasive LGSC, who had DICOM images available from a preoperative ultrasound examination. The extracted radiomics features belonged to two different families: intensity-based statistical features and textural features. Feature selection was performed via univariate analysis using the Wilcoxon-Mann-Whitney statistical test, followed by multivariate selection using the Boruta algorithm, Pearson correlation analysis to reduce collinearity and Akaike information criterion stepwise regression. Selected features were used to train logistic regression models. To distinguish between HGSC and LGSC, two logistic regression models were developed: a radiomics model based solely on radiomics features, and a clinical-radiomics model combining radiomics features with patient age. For comparison, two additional models were constructed: a radiomics-ultrasound model incorporating radiomics features and ultrasound variables that were significantly different between the two histotypes, and an ultrasound model based exclusively on these ultrasound variables. The area under the receiver-operating-characteristics (ROC) curve (ROC-AUC) and the area under the precision-recall (PR) curve (PR-AUC) were calculated. Modeling results were internally validated via the bootstrap resampling method, and optimism-corrected metrics were computed. A total of 153 patients (120 with a histological diagnosis of HGSC and 33 with a histological diagnosis of invasive LGSC) were recruited, providing a total of 332 images for analysis. For each image, 75 radiomics features were extracted. After feature selection, three textural features, 'gray-level co-occurrence matrix informational measure of correlation 2' ('F_cm.info.corr.2'), 'gray-level run length matrix run percentage' ('F_rlm.r.perc') and 'gray-level size zone matrix zone size variance' ('F_szm.zs.var') were used for the radiomics model; one textural feature (F_szm.zs.var) and age were used for the clinical-radiomics model; one textural feature (F_cm.info.corr.2) and one ultrasound variable (color score) were used for the radiomics-ultrasound model; and three ultrasound variables (color score, presence of papillary projections, presence of the ovarian crescent sign) were used for the ultrasound model. The internally validated (optimism-corrected) ROC-AUC was 0.69 (95% CI, 0.57-0.77) for the radiomics model, 0.80 (95% CI, 0.72-0.90) for the clinical-radiomics model, 0.68 (95% CI, 0.56-0.77) for the radiomics-ultrasound model and 0.78 (95% CI, 0.68-0.88) for the ultrasound model. The clinical-radiomics model performed similarly to the ultrasound model (optimism-corrected ROC-AUC, 0.80 vs 0.78; P = 0.726) and better than the radiomics (optimism-corrected ROC-AUC, 0.80 vs 0.69; P = 0.042) and radiomics-ultrasound (optimism- corrected ROC-AUC, 0.80 vs 0.68; P = 0.048) models. Our findings indicate that, despite detectable differences in radiomics features between HGSC and LGSC, current radiomics and imaging-based approaches do not provide sufficient added value over conventional ultrasound for reliable preoperative discrimination. Future research may be necessary to develop more accurate and clinically useful artificial intelligence-based predictive models. © 2026 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.