Journal of Medical Ultrasonics最新文献_第2页

Sonographic evaluation of vascular normalization induced by lenvatinib in a patient with hepatocellular carcinoma. lenvatinib诱导肝细胞癌患者血管正常化的超声评价。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-05-12 DOI: 10.1007/s10396-025-01550-3

Hiroshi Takahashi, Katsutoshi Sugimoto, Naohisa Kamiyama, Tatsuya Kakegawa, Takuya Wada, Hirohito Takeuchi, Takao Itoi

引用次数: 0

Supravalvular aortic stenosis caused by compression of a pseudoaneurysm late after aortic root replacement. 主动脉根部置换术后晚期假性动脉瘤压迫引起的瓣上主动脉狭窄。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-05-07 DOI: 10.1007/s10396-025-01547-y

Masaru Yoshikai, Hisashi Sato, Motonori Uchino, Masahide Shichijo, Nobuhiko Koga

引用次数: 0

Contrast-enhanced ultrasound in the evaluation and management of solid renal lesions based on EFSUMB guidelines. 基于EFSUMB指南的对比增强超声在实性肾病变评估和治疗中的应用。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-25 DOI: 10.1007/s10396-025-01546-z

Laura Eusebi, Federica Masino, Michele Bertolotto, Manuela Montatore, Giuseppe Sortino, Lucia Pitoni, Stefano Santarelli, Andrea Benedetto Galosi, Giuseppe Guglielmi

{"title":"Contrast-enhanced ultrasound in the evaluation and management of solid renal lesions based on EFSUMB guidelines.","authors":"Laura Eusebi, Federica Masino, Michele Bertolotto, Manuela Montatore, Giuseppe Sortino, Lucia Pitoni, Stefano Santarelli, Andrea Benedetto Galosi, Giuseppe Guglielmi","doi":"10.1007/s10396-025-01546-z","DOIUrl":"https://doi.org/10.1007/s10396-025-01546-z","url":null,"abstract":"Contrast-enhanced ultrasound (CEUS) has become an important tool for the detection and characterization of solid renal lesions, complementing traditional B-mode US, which often struggles to distinguish between solid and cystic masses. CEUS enhances diagnostic accuracy by providing detailed vascularization information, helping to identify potentially malignant solid lesions and differentiate between pseudotumours and solid masses. Moreover, CEUS employs a contrast agent that is safe even for nephropathic patients and can be used without concern for kidney function, making it an advantageous method for renal imaging. In this narrative review, following the European Federation of Societies for Ultrasound in Medicine and Biology guidelines, the authors show its main indications: characterizing indeterminate renal lesions in patients with transplanted kidney, monitoring non-surgical lesions, diagnosing inflammatory-infectious renal pathologies, and assessing advanced renal lesions and masses in the surgical bed.","PeriodicalId":50130,"journal":{"name":"Journal of Medical Ultrasonics","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asymptomatic cor triatriatum dexter detected decades after cardiac surgery. 无症状右心房三心房在心脏手术后几十年被发现。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-20 DOI: 10.1007/s10396-025-01532-5

Moe Gunjima, Yuichiro Toma, Yoko Kawamitsu, Yoshie Takahashi, Shinya Taira, Kojiro Furukawa, Kenya Kusunose

引用次数: 0

Ultrasound imaging-based diagnosis of deep branch radial nerve entrapment. 桡神经深支卡压的超声诊断。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-18 DOI: 10.1007/s10396-025-01530-7

Raphael Micheroli, Vincenzo Ricci, Marco Becciolini, Giorgio Tamborrini

引用次数: 0

Automated scheme of plaque classification based on segmentation in carotid ultrasound images using transformer approach. 基于变换方法分割颈动脉超声图像的斑块自动分类方案。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-17 DOI: 10.1007/s10396-025-01522-7

Gakuto Hirano, Atsushi Teramoto, Hiroji Takai, Yutaka Sasaki, Keiko Sugimoto, Shoji Matsumoto, Kuniaki Saito, Hiroshi Fujita

{"title":"Automated scheme of plaque classification based on segmentation in carotid ultrasound images using transformer approach.","authors":"Gakuto Hirano, Atsushi Teramoto, Hiroji Takai, Yutaka Sasaki, Keiko Sugimoto, Shoji Matsumoto, Kuniaki Saito, Hiroshi Fujita","doi":"10.1007/s10396-025-01522-7","DOIUrl":"https://doi.org/10.1007/s10396-025-01522-7","url":null,"abstract":"Purpose: Carotid plaque is a major risk factor for cerebral infarction. Ultrasonography (US) is extensively used for screening carotid plaque, but US images contain more noise than those of computed tomography and magnetic resonance imaging, and the edges of the plaque regions are unclear. In addition, B-mode echogenicity evaluation, which is important for plaque risk assessment, has challenges involving the subjectivity of the evaluator. Although previous studies on carotid plaque assessment have included plaque segmentation, most studies involved manual operations. In this study, we propose an automated scheme of plaque classification based on segmentation in carotid US images using the transformer approach, to resolve the issues of previous studies and to perform plaque echogenicity classification.Methods: The B-mode video captured in the long-axis cross-section was converted to still images, and region extraction and echogenicity classification were performed using TransUNet. The results of the TransUNet output and US images were fed into the Vision Transformer (ViT) for classification into hypoechoic or isoechoic-hyperechoic plaques.Results: The Dice index, which indicates the accuracy of plaque region extraction, was 0.592. The Dice indices by echogenicity were 0.200, 0.493, and 0.542 for the hypoechoic, isoechoic, and hyperechoic regions, respectively. The balanced accuracy, which indicates the classification accuracy, was 79.6%. The correct classification rate for high-risk hypoechoic plaques was 95.2%.Conclusion: These results suggest that the proposed method is useful for evaluating the echogenicity classification of carotid artery plaques.","PeriodicalId":50130,"journal":{"name":"Journal of Medical Ultrasonics","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144052320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Factors affecting the accuracy of fetal cardiac ultrasound screening in the first trimester of pregnancy. 更正：影响妊娠早期胎儿心脏超声筛查准确性的因素。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-15 DOI: 10.1007/s10396-025-01542-3

Shin Hashiramoto, Mayumi Kaneko, Hiroko Takita, Yuka Yamashita, Ryu Matsuoka, Akihiko Sekizawa

引用次数: 0

Correction: Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound. 校正：利用9张超声造影时相图像进行肝脏病变识别的深度学习方法。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-15 DOI: 10.1007/s10396-025-01544-1

Naohisa Kamiyama, Katsutoshi Sugimoto, Ryuichi Nakahara, Tatsuya Kakegawa, Takao Itoi

引用次数: 0

Multiple myeloma with an intra-abdominal lesion as a rare extramedullary lesion diagnosed with endoscopic ultrasound-guided tissue acquisition. 多发性骨髓瘤腹腔内病变作为一种罕见的髓外病变诊断内镜超声引导下的组织采集。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-15 DOI: 10.1007/s10396-025-01545-0

Akihiko Kida, Jun Asai, Tatsuya Yamashita, Takeshi Urabe, Taro Yamashita

引用次数: 0

Correction: Comparison of the clinical and pathological characteristics of ultrasound-guided biopsy for breast masses and non-mass lesions between 16-gauge spring-loaded core needle biopsy and 12-gauge spring-loaded vacuum-assisted biopsy. 更正：超声引导下16号弹簧载芯针活检与12号弹簧载真空辅助活检对乳腺肿块和非肿块病变的临床病理特征比较。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2025-04-15 DOI: 10.1007/s10396-025-01541-4

Yuka Yashima, Tomoyuki Fujioka, Kazunori Kubota, Mio Mori, Arisa Sato, Goshi Oda, Tsuyoshi Nakagawa, Iichiroh Onishi, Mayuko Tanaka, Ukihide Tateishi

引用次数: 0