Ultrasonography最新文献

{"title":"Cutting-edge progress of intravascular ultrasound in lower-extremity vascular interventions.","authors":"Xin Guan, Hong Han, Huixiong Xu","doi":"10.14366/usg.24148","DOIUrl":"10.14366/usg.24148","url":null,"abstract":"<p><p>Lower-extremity vascular disease has a high morbidity rate and often leads to disability and death in its advanced stages. Although angiography-guided endovascular intervention is the primary treatment for peripheral vascular disease, it frequently fails to detect subtle lumen features and falls short of meeting the increasing clinical need for precise management. Intravascular ultrasound (IVUS) merges noninvasive ultrasound imaging with invasive catheterization techniques, providing 360° imaging of the vascular cross-section and delivering accurate information about lesion morphology. IVUS has been crucial in supporting decisionmaking for preoperative assessment, intraoperative monitoring, and postoperative optimization during vascular interventions. This review aims to summarize the latest applications of IVUS in lower-extremity vascular disease, discuss its strengths and limitations, and explore future directions for its use.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"5-18"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11717682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142669657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-guided attenuation parameter for identifying metabolic dysfunction-associated steatotic liver disease: a prospective study.","authors":"Yun-Lin Huang, Chao Sun, Ying Wang, Juan Cheng, Shi-Wen Wang, Li Wei, Xiu-Yun Lu, Rui Cheng, Ming Wang, Jian-Gao Fan, Yi Dong","doi":"10.14366/usg.24204","DOIUrl":"https://doi.org/10.14366/usg.24204","url":null,"abstract":"<p><strong>Purpose: </strong>This study assessed the performance of the ultrasound-guided attenuation parameter (UGAP) in diagnosing and grading hepatic steatosis in patients with metabolic dysfunctionassociated steatotic liver disease (MASLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) served as the reference standard.</p><p><strong>Methods: </strong>Patients with hepatic steatosis were enrolled in this prospective study and underwent UGAP measurements. MRI-PDFF values of ≥5%, ≥15%, and ≥25% were used as references for the diagnosis of steatosis grades ≥S1, ≥S2, and S3, respectively. Spearman correlation coefficients and area under the receiver operating characteristic curves (AUCs) were calculated.</p><p><strong>Results: </strong>Between July 2023 and June 2024, the study included 88 patients (median age, 40 years; interquartile range [IQR], 36 to 46 years), of whom 54.5% (48/88) were men and 45.5% (40/88) were women. Steatosis grades exhibited the following distribution: 22.7% (20/88) had S0, 50.0% (44/88) had S1, 21.6% (19/88) had S2, and 5.7% (5/88) had S3. The success rate for UGAP measurements was 100%. The median UGAP value was 0.74 dB/cm/MHz (IQR, 0.65 to 0.82 dB/ cm/MHz), and UGAP values were positively correlated with MRI-PDFF (r=0.77, P&lt;0.001). The AUCs of UGAP for the diagnoses of ≥S1, ≥S2, and S3 steatosis were 0.91, 0.90, and 0.88, respectively. In the subgroup analysis, 98.4% (60/61) of patients had valid controlled attenuation parameter (CAP) values. UGAP measurements were positively correlated with CAP values (r=0.65, P&lt;0.001).</p><p><strong>Conclusion: </strong>Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143400701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-based radiogenomics: status, applications, and future direction.","authors":"Si-Rui Wang, Yu-Ting Shen, Bin Huang, Hui-Xiong Xu","doi":"10.14366/usg.24152","DOIUrl":"https://doi.org/10.14366/usg.24152","url":null,"abstract":"<p><p>Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143400753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving breast ultrasonography education: the impact of AI-based decision support on the performance of non-specialist medical professionals.","authors":"Sangwon Lee, Hye Sun Lee, Eunju Lee, Won Hwa Kim, Jaeil Kim, Jung Hyun Yoon","doi":"10.14366/usg.24171","DOIUrl":"https://doi.org/10.14366/usg.24171","url":null,"abstract":"<p><strong>Purpose: </strong>This study evaluated the educational impact of an artificial intelligence (AI)-based decision support system for breast ultrasonography (US) on medical professionals not specialized in breast imaging.</p><p><strong>Methods: </strong>In this multi-case, multi-reader study, educational materials, including American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) descriptors, were provided alongside corresponding AI results during training. The AI system presented results in the form of AIheatmaps, AI scores, and AI-provided BI-RADS assessment categories. Forty-two readers evaluated the test set in three sessions: the first session (S1) occurred before the educational intervention, the second session (S2) followed education without AI assistance, and the third session (S3) took place after education with AI assistance. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and overall performance, were compared between the sessions.</p><p><strong>Results: </strong>The mean sensitivity increased from 66.5% (95% confidence interval [CI], 59.2% to 73.7%) to 88.7% (95% CI, 84.1% to 93.3%), with a statistically significant difference (P&lt;0.001), and the AUC non-significantly increased from 0.664 (95% CI, 0.606 to 0.723) to 0.684 (95% CI, 0.620 to 0.748) (P=0.300). Both measures were higher in S2 than in S1. The AI-achieved AUC was comparable to that of the expert reader (0.747 [95% CI, 0.640 to 0.855] vs. 0.803 [95% CI, 0.706 to 0.900], P=0.217). Additionally, with AI assistance, the mean AUC for inexperienced readers was not significantly different from that of the expert reader (0.745 [95% CI, 0.660 to 0.830] vs. 0.803 [95% CI, 0.706 to 0.900], P=0.120).</p><p><strong>Conclusion: </strong>The mean AUC and sensitivity improved after incorporating AI into breast US education and interpretation. AI systems with high-level performance for breast US can potentially be used as educational tools in the interpretation of breast US images.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound evaluation of clinical mimics of deep vein thrombosis: essential insights for radiologists in interpretation.","authors":"Dongsuk Im, Lyo Min Kwon, Sun Young Park, Min Su Park, Won Ju Hong","doi":"10.14366/usg.24120","DOIUrl":"https://doi.org/10.14366/usg.24120","url":null,"abstract":"<p><p>Ultrasonography (US) is a sensitive and radiation-free technique for diagnosing deep vein thrombosis (DVT). Therefore, when DVT is clinically suspected but not detected on US, radiologists should consider a range of alternative differential diagnoses. This review article presents the imaging findings of clinical conditions that mimic DVT, which can be distinguished using a multimodal radiologic approach. Additionally, DVT mimics can be categorized into two groups based on whether a flat or normal waveform is observed on Doppler US. This article details the imaging findings and clinical presentations of DVT mimics, organized by these classifications. This information may help radiologists make more accurate diagnoses, enabling patients to receive appropriate treatment in a timely manner.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143025758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent handheld ultrasound improving the ability of non-expert general practitioners in carotid examinations for community populations: a prospective and parallel controlled trial.","authors":"Pei Sun, Hong Han, Yi-Kang Sun, Xi Wang, Xiao-Chuan Liu, Bo-Yang Zhou, Li-Fan Wang, Ya-Qin Zhang, Zhi-Gang Pan, Bei-Jian Huang, Hui-Xiong Xu, Chong-Ke Zhao","doi":"10.14366/usg.24172","DOIUrl":"https://doi.org/10.14366/usg.24172","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations.</p><p><strong>Methods: </strong>This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits.</p><p><strong>Results: </strong>Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P&lt;0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P&lt;0.01).</p><p><strong>Conclusion: </strong>Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between endometriosis and uterine cervical elasticity assessed using ultrasound strain elastography.","authors":"Anjeza Xholli, Filippo Molinari, Umberto Scovazzi, Ambrogio Pietro Londero, Isabella Perugi, Chiara Kratochwila, Francesca Cremonini, Angelo Cagnacci","doi":"10.14366/usg.24117","DOIUrl":"10.14366/usg.24117","url":null,"abstract":"<p><strong>Purpose: </strong>Internal cervical os (ICO) stiffness is related to menstrual pain, a key symptom of endometriosis. The study evaluated whether women with endometriosis have a stiffer ICO than unaffected women.</p><p><strong>Methods: </strong>A retrospective cross-sectional analysis was conducted using prospectively collected data from women with and without endometriosis, spanning from June 2020 to September 2022. Endometriosis was diagnosed through clinical and ultrasound evaluations, with histological confirmation in a subset of participants. Strain elastography (SE) was employed to measure tissue elasticity in four cervical regions of interest: the ICO and the anterior, posterior, and middle cervical compartments (ACC, PCC, and MCC, respectively). Tissue elasticity was quantified using a color-based scoring system ranging from 0.1 (blue, indicating less elasticity) to 3.0 (red, indicating greater elasticity).</p><p><strong>Results: </strong>Overall, 287 women were included, with 157 diagnosed with endometriosis and 130 controls. On SE, women with endometriosis exhibited a lower color score (mean±standard deviation), indicating lower elasticity, for the ICO (0.56±0.28 vs. 0.70±0.26, P=0.001) and PCC (0.69±0.30 vs. 0.80±0.27, P=0.002). Additionally, they had a lower ICO/MCC ratio (0.45±0.28 vs. 0.60±0.32, P=0.001) and ICO/ACC ratio (0.68±0.42 vs. 0.85±0.39, P=0.001). Multiple logistic regression analysis revealed that endometriosis was associated with the ICO color score (odds ratio, 0.053; 95% confidence interval, 0.014 to 0.202; R2=0.358; P=0.001), even after adjusting for confounding factors like the presence of myomas (P=0.040) and the use of hormonal therapy (P=0.001). The results were corroborated in women with histologically confirmed endometriosis (n=71).</p><p><strong>Conclusion: </strong>The findings suggest a potential relationship between a stiffer ICO and endometriosis.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"490-498"},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532525/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal ablation for Bethesda III and IV thyroid nodules: current diagnosis and management.","authors":"Wen-Hui Chan, Pi-Ling Chiang, An-Ni Lin, Yen-Hsiang Chang, Wei-Che Lin","doi":"10.14366/usg.24083","DOIUrl":"10.14366/usg.24083","url":null,"abstract":"<p><p>The diagnosis and management of Bethesda III and IV thyroid nodules remain clinical dilemmas. Current guidelines from academic societies suggest active surveillance or diagnostic lobectomy. However, the extent of surgery is often inappropriate, and a considerable percentage of patients experience under- or over-treatment. Thermal ablation has gained popularity as a safe and effective alternative treatment option for benign thyroid nodules. This review explores the feasibility of thermal ablation for Bethesda III or IV thyroid nodules, aiming to preserve the thyroid organ and avoid unnecessary surgery. It emphasizes individualized management, the need to consider factors including malignancy risk, clinical characteristics, and sonographic features, and the importance of supplemental tests such as repeat fine needle aspiration cytology, core needle biopsy, molecular testing, and radioisotope imaging.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"395-406"},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of micro-flow imaging and contrast-enhanced ultrasonography in assessing segmental congestion after right living donor liver transplantation.","authors":"Taewon Han, Woo Kyoung Jeong, Jaeseung Shin, Dong Ik Cha, Kyowon Gu, Jinsoo Rhu, Jong Man Kim, Gyu-Seong Choi","doi":"10.14366/usg.24114","DOIUrl":"10.14366/usg.24114","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to determine whether micro-flow imaging (MFI) offers diagnostic performance comparable to that of contrast-enhanced ultrasonography (CEUS) in detecting segmental congestion among patients undergoing living donor liver transplantation (LDLT).</p><p><strong>Methods: </strong>Data from 63 patients who underwent LDLT between May and December 2022 were retrospectively analyzed. MFI and CEUS data collected on the first postoperative day were quantified. Segmental congestion was assessed based on imaging findings and laboratory data, including liver enzymes and total bilirubin levels. The reference standard was a postoperative contrast-enhanced computed tomography scan performed within 2 weeks of surgery. Additionally, a subgroup analysis examined patients who underwent reconstruction of the middle hepatic vein territory.</p><p><strong>Results: </strong>The sensitivity and specificity of MFI were 73.9% and 67.5%, respectively. In comparison, CEUS demonstrated a sensitivity of 78.3% and a specificity of 75.0%. These findings suggest comparable diagnostic performance, with no significant differences in sensitivity (P=0.655) or specificity (P=0.257) between the two modalities. Additionally, early postoperative laboratory values did not show significant differences between patients with and without congestion. The subgroup analysis also indicated similar diagnostic performance between MFI and CEUS.</p><p><strong>Conclusion: </strong>MFI without contrast enhancement yielded results comparable to those of CEUS in detecting segmental congestion after LDLT. Therefore, MFI may be considered a viable alternative to CEUS.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"469-477"},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532526/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142401955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GI-RADS versus O-RADS in the differential diagnosis of adnexal masses: a systematic review and head-to-head meta-analysis.","authors":"Marina Perez, Ainhoa Meseguer, Julio Vara, Jose Carlos Vilches, Ignacio Brunel, Manuel Lozano, Rodrigo Orozco, Juan Luis Alcazar","doi":"10.14366/usg.24105","DOIUrl":"10.14366/usg.24105","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to compare the diagnostic performance of the Gynecology Imaging Reporting and Data System (GI-RADS) and Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) classification systems and assess their capacity to stratify the risk of malignancy in adnexal masses (AMs).</p><p><strong>Methods: </strong>A comprehensive search of MEDLINE (PubMed), Scopus, Web of Science, and Google Scholar was conducted to identify articles published between January 2020 and August 2023. The quality of the studies, the risk of bias, and concerns regarding applicability were assessed using QUADAS-2.</p><p><strong>Results: </strong>The search yielded 132 citations. Five articles, which included a total of 2,448 AMs, were ultimately selected for inclusion. The risk of bias was high in all articles regarding patient selection, low in four studies for the index test, and unclear in three papers for the reference test. For GI-RADS, the pooled sensitivity and specificity were 90.8% (95% confidence interval [CI], 86.0% to 94.0%) and 91.5% (95% CI, 89.0% to 93.0%), respectively. For O-RADS, the pooled sensitivity and specificity were 95.1% (95% CI, 93.0% to 97.0%) and 88.8% (95% CI, 85.0% to 92.0%), respectively. O-RADS demonstrated greater sensitivity for malignancy than GI-RADS (P<0.05). Heterogeneity was moderate for both sensitivity and specificity with respect to GIRADS; for O-RADS, heterogeneity was moderate for sensitivity and high for specificity.</p><p><strong>Conclusion: </strong>Both GI-RADS and O-RADS US demonstrate good diagnostic performance in the preoperative assessment of AMs. However, the O-RADS classification provides superior sensitivity.</p>","PeriodicalId":54227,"journal":{"name":"Ultrasonography","volume":" ","pages":"438-447"},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532524/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}