7. Intraoperative ultrasound in minimally invasive surgery for deep endometriosis: time for new approaches.
7. 术中超声在深部子宫内膜异位症微创手术中的应用:新方法的时机。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2025-03-22
DOI :10.1002/uog.29212
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1区Q1影响因子: 6.3
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8. Impact of endometrial preparation protocols on pregnancy outcomes in patients with unexplained recurrent implantation failure undergoing frozen embryo transfer.
8. 子宫内膜准备方案对接受冷冻胚胎移植的不明原因复发性着床失败患者妊娠结局的影响。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
9. Contrast-enhanced ultrasound-based AI model for multi-classification of focal liver lesions.
9. 基于超声造影的 AI 模型 , 用于肝脏局灶性病变的多分类。
期刊:Journal of hepatology
日期:2025-01-21
DOI :10.1016/j.jhep.2025.01.011
BACKGROUND & AIMS:Accurate multi-classification is a prerequisite for appropriate management of focal liver lesions (FLLs). Ultrasound is the most common imaging examination but lacks accuracy. Contrast-enhanced ultrasound (CEUS) offers better performance but is highly dependent on operator experience. Therefore, we aimed to develop a CEUS-based artificial intelligence (AI) model for FLL multi-classification and evaluate its performance in multicenter clinical tests. METHODS:Since January 2017 to December 2023, CEUS videos, immunohistochemical biomarkers and clinical information on solid FLLs >1 cm in adults were collected from 52 centers to build and test the model. The model was developed to classify FLLs into six types: hepatocellular carcinoma, hepatic metastasis, intrahepatic cholangiocarcinoma, hepatic hemangioma, hepatic abscess and others. First, Module-Disease, Module-Biomarker and Module-Clinic were built in training set A and a validation set. Then, three modules were aggregated as Model in training set B and an internal test set. Model performance was compared with CEUS and MRI radiologists in three external test sets. RESULTS:In total 3,725 FLLs from 52 centers were divided into training set A (n = 2,088), the validation set (n = 592), training set B (n = 234), the internal test set (n = 110), and external test sets A (n = 113), B (n = 276) and C (n = 312). In external test sets A, B and C, Model achieved significantly better performance (accuracy from 0.85 to 0.86) than junior CEUS radiologists (0.59-0.73), and comparable performance to senior CEUS radiologists (0.79-0.85) and senior MRI radiologists (0.82-0.86). In multiple subgroup analyses on demographic characteristics, tumor characteristics and ultrasound devices, its accuracy ranged from 0.79 to 0.92. CONCLUSIONS:CEUS-based Model provides accurate multi-classification of FLLs. It holds promise for a wide range of populations, especially those in remote areas who have difficulty accessing MRI. CLINICAL TRIAL:NCT04682886. IMPACT AND IMPLICATIONS:Ultrasound is the most common imaging examination for screening focal liver lesions (FLLs), but it lacks accuracy for multi-classification, which is a prerequisite for appropriate clinical management. Contrast-enhanced ultrasound (CEUS) offers better diagnostic performance but relies on the experience of radiologists. We developed a CEUS-based model (Model) that can help junior CEUS radiologists to achieve comparable diagnostic ability as senior CEUS radiologists and senior MRI radiologists. The combination of an ultrasound device, CEUS examination and Model means that even patients in remote areas can be accurately diagnosed through examination by junior radiologists.
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1区Q1影响因子: 9.8
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10. Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness.
10. 照超声医师所想的做:通过微血管浸润意识进行超声造影诊断甲状腺结节。
期刊:IEEE transactions on medical imaging
日期:2024-11-04
DOI :10.1109/TMI.2024.3405621
Dynamic contrast-enhanced ultrasound (CEUS) imaging can reflect the microvascular distribution and blood flow perfusion, thereby holding clinical significance in distinguishing between malignant and benign thyroid nodules. Notably, CEUS offers a meticulous visualization of the microvascular distribution surrounding the nodule, leading to an apparent increase in tumor size compared to gray-scale ultrasound (US). In the dual-image obtained, the lesion size enlarged from gray-scale US to CEUS, as the microvascular appeared to be continuously infiltrating the surrounding tissue. Although the infiltrative dilatation of microvasculature remains ambiguous, sonographers believe it may promote the diagnosis of thyroid nodules. We propose a deep learning model designed to emulate the diagnostic reasoning process employed by sonographers. This model integrates the observation of microvascular infiltration on dynamic CEUS, leveraging the additional insights provided by gray-scale US for enhanced diagnostic support. Specifically, temporal projection attention is implemented on time dimension of dynamic CEUS to represent the microvascular perfusion. Additionally, we employ a group of confidence maps with flexible Sigmoid Alpha Functions to aware and describe the infiltrative dilatation process. Moreover, a self-adaptive integration mechanism is introduced to dynamically integrate the assisted gray-scale US and the confidence maps of CEUS for individual patients, ensuring a trustworthy diagnosis of thyroid nodules. In this retrospective study, we collected a thyroid nodule dataset of 282 CEUS videos. The method achieves a superior diagnostic accuracy and sensitivity of 89.52% and 94.75%, respectively. These results suggest that imitating the diagnostic thinking of sonographers, encompassing dynamic microvascular perfusion and infiltrative expansion, proves beneficial for CEUS-based thyroid nodule diagnosis.
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1区Q1影响因子: 6.3
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11. Endometrioma decidualization in pregnancy: not just about papillations.
11. 妊娠子宫内膜瘤蜕膜化:不仅仅是乳头瘤。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2025-02-28
DOI :10.1002/uog.29203
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2区Q1影响因子: 4.7
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12. When AUC-ROC and accuracy are not accurate: what everyone needs to know about evaluating artificial intelligence in radiology.
14. ISUOG Practice Guidelines (updated): role of ultrasound in twin pregnancy.
14. ISUOG 实践指南(更新):超声在双胎妊娠中的作用。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2025-01-15
DOI :10.1002/uog.29166
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1区Q1影响因子: 6.3
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15. Intra- and interobserver agreement of proposed objective transvaginal ultrasound image-quality scoring system for use in artificial intelligence algorithm development.
15. 用于人工智能算法开发的客观经阴道超声图像质量评分系统的观察者间一致性。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
20. Transabdominal sonographic sliding signs for preoperative prediction of dense intra-abdominal adhesions in women undergoing repeat Cesarean delivery.
20. 经腹超声滑动征象可用于术前预测再次剖腹产妇女的密集腹腔内粘连。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
22. Society of Radiologists in Ultrasound response to 'Proposed simplified protocol for initial assessment of endometriosis with transvaginal ultrasound'.
22. 放射科医师协会对 “经阴道超声初步评估子宫内膜异位症的简化方案 ” 的回应。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2024-11-27
DOI :10.1002/uog.29147
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1区Q1影响因子: 6.3
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23. Central necrosis in uterine sarcoma.
23. 子宫肉瘤的中央坏死。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2024-12-01
DOI :10.1002/uog.27669
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1区Q1影响因子: 6.3
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24. Why create a new protocol or a new consensus in the ultrasound diagnosis of endometriosis?
24. 为什么要在子宫内膜异位症的超声诊断中制定新的方案或达成新的共识?
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2024-12-17
DOI :10.1002/uog.29159
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1区Q1影响因子: 6.3
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25. Enhancement of the screening examination of the fetal heart as proposed by ISUOG Practice Guidelines.
25. 按照 ISUOG 实践指南的建议 , 加强对胎儿心脏的筛查检查。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2024-01-01
DOI :10.1002/uog.27479
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1区Q1影响因子: 6.3
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26. Diagnosis of superficial endometriosis on transvaginal ultrasound by visualization of peritoneum of pouch of Douglas.
26. Douglas 囊袋腹膜显像经阴道超声诊断浅表性子宫内膜异位症。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
日期:2024-02-01
DOI :10.1002/uog.27520
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1区Q1影响因子: 6.3
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31. Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA-1 multinomial regression model: validation study.
38. Non-invasive imaging techniques for diagnosis of pelvic deep endometriosis and endometriosis classification systems: an International Consensus Statement.
38. 用于诊断盆腔深部子宫内膜异位症和子宫内膜异位症分类系统的非侵入性成像技术:国际共识声明。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
40. Standardized IETA criteria enhance accuracy of junior and intermediate ultrasound radiologists in diagnosing malignant endometrial and intrauterine lesions.
40. 标准化 IETA 标准提高了初级和中级超声放射科医师诊断恶性子宫内膜和子宫内病变的准确性。
期刊:Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
41. Prospective external validation of IOTA methods for classifying adnexal masses and retrospective assessment of two-step strategy using benign descriptors and ADNEX model: Portuguese multicenter study.