Journal of Medical Ultrasonics最新文献_第7页

Mindset for performing EUS-FNA. 进行 EUS-FNA 的心态。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-05-16 DOI: 10.1007/s10396-023-01386-9

Atsushi Kanno

引用次数: 0

Evaluation of renal circulation in heart failure using superb microvascular imaging, a microvascular flow imaging system. 利用超级微血管成像（一种微血管流量成像系统）评估心力衰竭患者的肾循环。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-01-18 DOI: 10.1007/s10396-023-01397-6

Shohei Kikuchi, Kiyomi Kayama, Yu Kawada, Shuichi Kitada, Yoshihiro Seo

{"title":"Evaluation of renal circulation in heart failure using superb microvascular imaging, a microvascular flow imaging system.","authors":"Shohei Kikuchi, Kiyomi Kayama, Yu Kawada, Shuichi Kitada, Yoshihiro Seo","doi":"10.1007/s10396-023-01397-6","DOIUrl":"10.1007/s10396-023-01397-6","url":null,"abstract":"Purpose: Renal circulation evaluation is essential in understanding the cardiorenal relationship in heart failure (HF), and there is a growing interest in imaging techniques that visualize renal circulation. This study aimed to assess the effectiveness of superb microvascular imaging (SMI) in evaluating renal circulation in HF patients.Method: The study included 71 HF patients undergoing cardiac catheterization. Prior to catheterization, renal ultrasound examinations were performed. A control group of 18 subjects without HF was also included. SMI was used to measure the vascular index (VI), which was calculated as the percentage of blood flow signal area in the region of interest. The intrarenal perfusion index (IRPI) was determined as a fluctuation index of VI, reflecting variations in the number of blood cells moving through renal tissue during the cardiac cycle.Results: Using the upper 95% confidence interval of IRPI (0.6) from the control group, HF patients were classified into two groups. Patients with IRPI > 0.6 showed a more congestive profile. Right atrial pressure and biphasic or monophasic Doppler intrarenal flow pattern were independent determinants of IRPI > 0.6. In addition, IRPI remained a significant predictor of estimated glomerular filtration rate (eGFR).Conclusion: The parameter IRPI as variations in SMI signal during the cardiac cycle may be a useful evaluation method for renal perfusion impairment in HF.","PeriodicalId":50130,"journal":{"name":"Journal of Medical Ultrasonics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139486327","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

Endoscopic ultrasound-guided fine-needle aspiration for gastrointestinal subepithelial lesions. 内窥镜超声引导下的胃肠道上皮下病变细针穿刺术。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2023-07-25 DOI: 10.1007/s10396-023-01342-7

Takuto Hikichi, Minami Hashimoto, Takumi Yanagita, Tsunetaka Kato, Jun Nakamura

引用次数: 0

Assessment of renal congestion in a rat model with congestive heart failure using superb microvascular imaging. 利用超级微血管成像技术评估充血性心力衰竭大鼠模型的肾充血情况。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-01-11 DOI: 10.1007/s10396-023-01396-7

Tomofumi Nakatsukasa, Tomoko Ishizu, Ruriko Hayakawa, Masumi Ouchi, Naoto Kawamatsu, Kimi Sato, Masayoshi Yamamoto, Tomoko Machino-Ohtsuka, Kunio Kawanishi, Yoshihiro Seo

{"title":"Assessment of renal congestion in a rat model with congestive heart failure using superb microvascular imaging.","authors":"Tomofumi Nakatsukasa, Tomoko Ishizu, Ruriko Hayakawa, Masumi Ouchi, Naoto Kawamatsu, Kimi Sato, Masayoshi Yamamoto, Tomoko Machino-Ohtsuka, Kunio Kawanishi, Yoshihiro Seo","doi":"10.1007/s10396-023-01396-7","DOIUrl":"10.1007/s10396-023-01396-7","url":null,"abstract":"Purpose: Renal congestion is a therapeutic target in congestive heart failure. However, its detailed evaluation in a clinical setting is challenging. This study sought to assess renal congestion impairment using superb microvascular imaging (SMI), a simple and accessible method.Methods: Dahl salt-sensitive rats, used as a model for congestive heart failure, underwent central venous pressure (CVP) measurements. Renal congestion was evaluated through measurements of renal medullary pressure (RMP) and assessment of renal perfusion using contrast-enhanced ultrasonography at both the early (control group) and heart failure phases (HF group). All rats were assessed with SMI. The region of interest (ROI) was set in interlobular vessels, interlobar vessels, and a combination of these areas. The area ratio was calculated from the color pixel count in the ROI divided by the total pixel count in the ROI. Intrarenal perfusion index (IRPI) was defined as (maximum area ratio-minimum area ratio) / maximum area ratio.Results: There were no significant differences in renal function and left ventricular ejection fraction between the two groups. CVP, time-to-peak (TTP) in the medulla, and RMP were higher in the HF group than in the control group. In the HF group, IRPI, evaluated in the interlobular vessels, was significantly higher than in the control group. IRPI was positively correlated with TTP in the medulla (p = 0.028, R = 0.60) and RMP (p < 0.001, R = 0.84), indicating that IRPI reflected renal congestion.Conclusions: IRPI is a useful tool for assessing renal congestion in rats with congestive heart failure.","PeriodicalId":50130,"journal":{"name":"Journal of Medical Ultrasonics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139418386","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

Pursuing technological improvement of thyroid ultrasound-guided diagnostic biopsy and widespread adoption of medical safety. 追求甲状腺超声引导诊断活检的技术改进和医疗安全的广泛采用。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-05-16 DOI: 10.1007/s10396-024-01450-y

Hisakazu Shindo

引用次数: 0

Prenatal diagnosis of total anomalous pulmonary venous connection with vertical vein branching into two. 产前诊断肺静脉连接完全异常，垂直静脉一分为二。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-03-11 DOI: 10.1007/s10396-024-01411-5

Takaaki Maeda, Mikio Morine, Tatsuro Sugimoto, Aki Nagao, Naoto Yonetani, Kenji Hinokio, Kazuhisa Maeda

引用次数: 0

Association between the type of pacemaker and progression of tricuspid regurgitation. 起搏器类型与三尖瓣反流进展之间的关系。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-01-09 DOI: 10.1007/s10396-023-01405-9

Shuhei Tanaka, Naoya Kataoka, Teruhiko Imamura

引用次数: 0

Acute muscle loss assessed using panoramic ultrasound in critically ill adults: a prospective observational study. 利用全景超声评估重症成人的急性肌肉损失：一项前瞻性观察研究。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-05-03 DOI: 10.1007/s10396-024-01412-4

Daisuke Ikechi, Hidehiko Nakano, Nobuto Nakanishi, Takahiro Fujita, Naho Watanabe, Yasuaki Koyama, Hideki Hashimoto, Kensuke Nakamura

{"title":"Acute muscle loss assessed using panoramic ultrasound in critically ill adults: a prospective observational study.","authors":"Daisuke Ikechi, Hidehiko Nakano, Nobuto Nakanishi, Takahiro Fujita, Naho Watanabe, Yasuaki Koyama, Hideki Hashimoto, Kensuke Nakamura","doi":"10.1007/s10396-024-01412-4","DOIUrl":"10.1007/s10396-024-01412-4","url":null,"abstract":"Purpose: Panoramic ultrasound is one of the recently introduced ultrasound evaluation techniques. We herein examined the relationship between the cross-sectional area of the rectus femoris muscle on panoramic ultrasound and its volume based on the gold standard computed tomography (CT) evaluation.Methods: This was a single-center prospective observational study. A panoramic ultrasound assessment of the cross-sectional area of the rectus femoris muscle and a simple CT evaluation of its volume were performed on days 1 and 7 of hospitalization. Physical functions were assessed at discharge.Results: Twenty patients were examined. The rate of change in the cross-sectional area of the rectus femoris muscle on panoramic ultrasound correlated with that in its volume on CT (correlation coefficient 0.59, p = 0.0061). In addition, a correlation was observed between the absolute value for the rectus femoris muscle cross-sectional area on panoramic ultrasound and physical functions at discharge. Rectus femoris muscle distances did not correlate with either.Conclusion: In the acute phase of critical illness, the cross-sectional area of the rectus femoris muscle on panoramic images correlated with its volume on CT and, thus, it is a valid method for assessing muscle mass.","PeriodicalId":50130,"journal":{"name":"Journal of Medical Ultrasonics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140856746","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

Reply to comment on predicting the risk stratification of gastrointestinal stromal tumors using machine learning‑based ultrasound radiomics. 回复关于利用基于机器学习的超声放射组学预测胃肠道间质瘤风险分层的评论。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-03-11 DOI: 10.1007/s10396-024-01425-z

Minling Zhuo, Yi Tang, Jingjing Guo, Qingfu Qian, Ensheng Xue, Zhikui Chen

引用次数: 0

Artifact reduction in photoacoustic images by generating virtual dense array sensor from hemispheric sparse array sensor using deep learning. 利用深度学习从半球稀疏阵列传感器生成虚拟密集阵列传感器，减少光声图像中的伪影。

IF 1.9 4区医学

Journal of Medical Ultrasonics Pub Date : 2024-04-01 Epub Date: 2024-03-14 DOI: 10.1007/s10396-024-01413-3

Makoto Yamakawa, Tsuyoshi Shiina

{"title":"Artifact reduction in photoacoustic images by generating virtual dense array sensor from hemispheric sparse array sensor using deep learning.","authors":"Makoto Yamakawa, Tsuyoshi Shiina","doi":"10.1007/s10396-024-01413-3","DOIUrl":"10.1007/s10396-024-01413-3","url":null,"abstract":"Purpose: Vascular distribution is important information for diagnosing diseases and supporting surgery. Photoacoustic imaging is a technology that can image blood vessels noninvasively and with high resolution. In photoacoustic imaging, a hemispherical array sensor is especially suitable for measuring blood vessels running in various directions. However, as a hemispherical array sensor, a sparse array sensor is often used due to technical and cost issues, which causes artifacts in photoacoustic images. Therefore, in this study, we reduce these artifacts using deep learning technology to generate signals of virtual dense array sensors.Methods: Generating 2D virtual array sensor signals using a 3D convolutional neural network (CNN) requires huge computational costs and is impractical. Therefore, we installed virtual sensors between the real sensors along the spiral pattern in three different directions and used a 2D CNN to generate signals of the virtual sensors in each direction. Then we reconstructed a photoacoustic image using the signals from both the real sensors and the virtual sensors.Results: We evaluated the proposed method using simulation data and human palm measurement data. We found that these artifacts were significantly reduced in the images reconstructed using the proposed method, while the artifacts were strong in the images obtained only from the real sensor signals.Conclusion: Using the proposed method, we were able to significantly reduce artifacts, and as a result, it became possible to recognize deep blood vessels. In addition, the processing time of the proposed method was sufficiently applicable to clinical measurement.","PeriodicalId":50130,"journal":{"name":"Journal of Medical Ultrasonics","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11098876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140121228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0