Medical ultrasonography最新文献_第2页

Five-step dynamic ultrasonographic assessment of swallowing for dysphagia.

Medical ultrasonography Pub Date : 2025-03-02 Epub Date: 2024-10-25 DOI: 10.11152/mu-4469

Bülent Alyanak, Mazlum Serdar Akaltun, Fatih Bağcıer, Burak Tayyip Dede

引用次数: 0

Torsion with necrosis of a wandering spleen in a child.

Medical ultrasonography Pub Date : 2025-03-02 DOI: 10.11152/mu-4484

Xia Li, Wenqin Liu, Yuting Li, Xiaomin Liao, Shaozhen Liang

引用次数: 0

The impact of bowel preparation on MRI scans for confirming rectosigmoid endometriosis detected by transvaginal ultrasonography. 经阴道超声波检查确认直肠乙状结肠子宫内膜异位症时，肠道准备工作对核磁共振扫描的影响。

Medical ultrasonography Pub Date : 2025-03-02 Epub Date: 2024-10-21 DOI: 10.11152/mu-4441

Cemil Gürses, Alpaslan Yavuz, Nevfel Kahvecioğlu, Mustafa Yalçın, Gizem Ünal, Burak Karadağ, Hüseyin Çiyiltepe

{"title":"The impact of bowel preparation on MRI scans for confirming rectosigmoid endometriosis detected by transvaginal ultrasonography.","authors":"Cemil Gürses, Alpaslan Yavuz, Nevfel Kahvecioğlu, Mustafa Yalçın, Gizem Ünal, Burak Karadağ, Hüseyin Çiyiltepe","doi":"10.11152/mu-4441","DOIUrl":"10.11152/mu-4441","url":null,"abstract":"Aims: The study aims to assess the impact of bowel preparation on MRI scans in diagnosing rectosigmoid endometriosis (RSE) and to examine the level of agreement among investigators, including radiologists and clinicians with varying levels of MRI experience.Material and methods: Fifty-eight patients underwent MRI scans, with 34 showing RSE and 24 without involvement, according to TVUS as the reference standard. The scans were conducted both with and without a bowel preparatory protocol (BPP).Results: The highest concordance was observed in the group 4, which included patients with RSE and BPP, with a Kappa value of 0.47-0.52. In contrast, for groups with MRI scans without the BPP, there was no consistency among the investigators (Kappa <0.20). The sensitivity, specificity, positive predictive value, and negative predictive value were 0.72, 0.47, 0.72, and 0.47 without BPP, and increased to 0.82, 0.74, 0.85, and 0.74, respectively, after BPP.Conclusions: The results reveal that the concordance between investigators in detecting RSE via MRI scan improves with the use of BPP. Additionally, the success rate of MRI and TVUS for detecting RSE can be comparable, but only if bowel preparatory techniques are utilized during MRI scans.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"38-43"},"PeriodicalIF":0.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thrombosed persistent median artery in a medical sonographer. 一名医学超声技师的正中动脉血栓形成。

Medical ultrasonography Pub Date : 2025-03-02 Epub Date: 2024-09-04 DOI: 10.11152/mu-4431

Stephen Leinfelder, Nicholas C Nacey

引用次数: 0

The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules. 深度学习对甲状腺结节良恶性鉴别诊断性能的影响。

Medical ultrasonography Pub Date : 2025-03-02 Epub Date: 2024-09-04 DOI: 10.11152/mu-4432

Esat Kaba, Merve Solak, Ayşenur Topçu Varlık, Yusuf Çubukçu, Lütfullah Sağır, Kubilay Muhammed Sünnetci, Ahmet Alkan, Hasan Gündoğdu, Fatma Beyazal Çeliker, Mehmet Beyazal

{"title":"The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules.","authors":"Esat Kaba, Merve Solak, Ayşenur Topçu Varlık, Yusuf Çubukçu, Lütfullah Sağır, Kubilay Muhammed Sünnetci, Ahmet Alkan, Hasan Gündoğdu, Fatma Beyazal Çeliker, Mehmet Beyazal","doi":"10.11152/mu-4432","DOIUrl":"10.11152/mu-4432","url":null,"abstract":"Aims: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant with ultrasonography (US). In addition, this study investigates the impact of DL on the diagnostic success of radiologists with different experiences. Material and methods: This study included 576 US images of thyroid nodules. The dataset was divided into 80% training and 20% test sets. Four radiologists with different levels of experience classified the images in the test set as benign-malignant. A DL model was then trained with the train set and predicted benign-malignant for the test set. Then, the output of the DL model for each nodule in the test set was presented to 4 radiologists, who were asked to make a benign-malignant classification again considering these DL results.Results: The accuracy of the DL model was 0.9391. The accuracy for junior resident (JR) 1, JR 2, senior resident (SR), and senior radiologist (Srad) before DL-assisting were 0.7043, 0.7826, 0.8435, and 0.8522 respectively. The accuracy in DL-assisted classifications was 0.9130, 0.8696, 0.9304, and 0.9043 for JR 1, JR2, SR, and Srad, respectively. DL assistance changed the decisions of less experienced radiologists more than more experienced radiologists. Conclusion: The DL model has superior accuracy in classifying thyroid nodules as benign-malignant with US images than radiologists with different levels of experience. Additionally, all radiologists, and most notably less experienced radiology residents, increased their accuracy in DL-assisted predictions.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"26-31"},"PeriodicalIF":0.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comments and illustrations of the WFUMB CEUS liver guidelines: rare benign hematological focal liver lesions (hepatic extramedullary hematopoiesis, Hemophagocytic lymphohistiocytosis, reactive lymphoid hyperplasia). WFUMB CEUS 肝脏指南的评论和说明：罕见良性血液病灶性肝脏病变（肝髓外造血、嗜血细胞性淋巴组织细胞增多症、反应性淋巴增生）。

Medical ultrasonography Pub Date : 2025-03-02 Epub Date: 2024-08-10 DOI: 10.11152/mu-4419

Amjad Alhyari, Ehsan Safai Zadeh, Ana Martín Algíbez, Annalisa Berzigotti, Christian Görg, Corinna Trenker, Christian Jenssen, Adrian Lim, Kathleen Möller, Yi Dong, Xin Wu Cui, Wen-Ping Wang, Christoph Frank Dietrich

{"title":"Comments and illustrations of the WFUMB CEUS liver guidelines: rare benign hematological focal liver lesions (hepatic extramedullary hematopoiesis, Hemophagocytic lymphohistiocytosis, reactive lymphoid hyperplasia).","authors":"Amjad Alhyari, Ehsan Safai Zadeh, Ana Martín Algíbez, Annalisa Berzigotti, Christian Görg, Corinna Trenker, Christian Jenssen, Adrian Lim, Kathleen Möller, Yi Dong, Xin Wu Cui, Wen-Ping Wang, Christoph Frank Dietrich","doi":"10.11152/mu-4419","DOIUrl":"10.11152/mu-4419","url":null,"abstract":"The manifestation of benign hematological infiltration in the liver is a challenge due to their rare occurrence and therefore, limited awareness and the general need for biopsy and histological confirmation. Owing to the rarity of these lesions, there are limited data concerning their appearance on ultrasound and, specifically, contrast-enhanced ultrasound. In a series of papers, we have compiled the US and CEUS characteristics of rare FLL, where there are few reports and images available, in order to build up a library of these cases. This paper describes the US and CEUS features of benign hematological FLL which include hepatic extramedullary hematopoiesis (EMH), hemophagocytic lymphohistiocytosis (HLH) and reactive lymphoid hyperplasia (RLH). Although these lesions occur rarely in the liver, their correct identification is imperative for appropriate patient`s management.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"73-81"},"PeriodicalIF":0.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141914969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A case of primary lymphoma of the right atrium was misdiagnosed by ultrasound.

Medical ultrasonography Pub Date : 2025-03-02 DOI: 10.11152/mu-4472

Wenjun Chen, Yanbing Hu, Dongmei Lv

引用次数: 0

Confusing abdominal pain: images of spontaneous isolated superior mesenteric artery dissection with thrombosis.

Medical ultrasonography Pub Date : 2025-03-02 DOI: 10.11152/mu-4487

Shuang Zheng, Pei Hu, Xiao-Yi Wang, Chao Wang, Xiao-Xuan Liu, Zheng-Sen Dong, Bin Xiao

引用次数: 0

Machine learning analysis of contrast-enhanced ultrasound (CEUS) for the diagnosis of acute graft dysfunction in kidney transplant recipients. 用于诊断肾移植受者急性移植物功能障碍的对比增强超声（CEUS）机器学习分析。

Medical ultrasonography Pub Date : 2025-03-02 Epub Date: 2024-09-04 DOI: 10.11152/mu-4430

Tudor Moisoiu, Alina Daciana Elec, Adriana Milena Muntean, Alexandru Florin Badea, Anca Budusan, Bogdan Stancu, Gheorghiță Iacob, Antal Oana, Alexandra Andries, Razvan Zaro, Mihai A Socaciu, Radu Ion Badea, Gabriel C Oniscu, Florin Ioan Elec

{"title":"Machine learning analysis of contrast-enhanced ultrasound (CEUS) for the diagnosis of acute graft dysfunction in kidney transplant recipients.","authors":"Tudor Moisoiu, Alina Daciana Elec, Adriana Milena Muntean, Alexandru Florin Badea, Anca Budusan, Bogdan Stancu, Gheorghiță Iacob, Antal Oana, Alexandra Andries, Razvan Zaro, Mihai A Socaciu, Radu Ion Badea, Gabriel C Oniscu, Florin Ioan Elec","doi":"10.11152/mu-4430","DOIUrl":"10.11152/mu-4430","url":null,"abstract":"Aim: The aim of the study was to develop machine learning algorithms (MLA) for diagnosing acute graft dysfunction (AGD) in kidney transplant recipients based on contrast-enhanced ultrasound (CEUS) analysis of the graft.Materials and methods: This prospective study involved 71 patients with kidney transplant undergoing CEUS during follow-up. AGD wasdefined as an increase in serum creatinine levels of at least 25% compared to the baseline of the last three months. The control group consisted of patients with stable kidney graft function (SGF). The top five CEUS parameters that achieved the best discrimination between the AGD and SGF groups were selected based on ANOVA testing and then employed as input for training MLA (naïve Bayes (NB), k-nearest neighbors (k-NN), and logistic regression (LR)). The models were validated by leave-one-out cross-validation.Results: Among the 111 CEUS analyses, 21 corresponded to the AGD group and 90 to the SGF group. CEUS analyses yielded 44 parameters, from which five were selected: the wash out rate in segmental arteries,time to peak in segmental arteries, medullary mean transit time, renal mean transit time, and medullary time to fall. These five parameters were employed as input for MLA, yielding an AUROC of 0.68 for NB and k-NN and 0.72 for LR. The inclusion of graft survival in the MLA significantly improved discrimination accuracy, yielding an AUROC of 0.79 for NB, 0.76 for k-NN,and 0.81 for LR.Conclusions: The use of MLA represents a promising strategy for analyzing CEUS-derived parameters in the setting AGD.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"19-25"},"PeriodicalIF":0.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Endoscopy and endoscopic ultrasound for embedded or migratory digestive foreign body. 通过内窥镜和内窥镜超声波检查嵌入或移位的消化道异物。

Medical ultrasonography Pub Date : 2025-03-02 Epub Date: 2024-09-30 DOI: 10.11152/mu-4437

Jia Xie, Yan Qin, Mojin Wang, Rui Wang

{"title":"Endoscopy and endoscopic ultrasound for embedded or migratory digestive foreign body.","authors":"Jia Xie, Yan Qin, Mojin Wang, Rui Wang","doi":"10.11152/mu-4437","DOIUrl":"10.11152/mu-4437","url":null,"abstract":"Embedded or migratory ingested foreign bodies (FBs) may be a disaster when not found intraluminally and can be seriously life-threatening. Endoscopic ultrasound (EUS) has advantages of transmural, close range and real-time imaging. Under its guidance, minimally invasive endoscopic removal of FBs and abscess drainage become available and safe to avoid unnecessary surgery. However, relatively few diagnostic applications of EUS have been reported. Endoscopic removal and abscess drainage with or without EUS-guidance were even scarce. We found 21 cases of migratory FBs reported in which EUS was used to diagnose and/or treat including our case. We further summarized clinical characteristics and EUS manifestations of embedded or migratory FBs for future differentiation, and treatment strategies by endoscopy and EUS. EUS is a valuable tool in recognizing and differentiating embedded or migratory FBs. EUS-guided endoscopic removal is a minimally invasive, safe and innovative solution. EUS with novel device also assists in sufficient and secure drainage for FBs related abscess collections. A multidisciplinary team consult is sometimes mandatory for complicated cases. This would break a conceptual barrier in therapeutic endoscopy.","PeriodicalId":94138,"journal":{"name":"Medical ultrasonography","volume":" ","pages":"82-92"},"PeriodicalIF":0.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0