Ultrasound in Medicine and Biology最新文献

{"title":"Study of Confounding Factors in Shear Wave Elastography of the Diaphragm.","authors":"Izzati Mohammad Munir, Sook Sam Leong, Anis Shafina Mahfudz, Li Shyan Ch'ng, Jeannie Hsiu Ding Wong, Anushya Vijayananthan, Chee Kuan Wong","doi":"10.1016/j.ultrasmedbio.2025.05.027","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.05.027","url":null,"abstract":"<p><strong>Objective: </strong>Changes in diaphragmatic stiffness are associated with pathological conditions, including severe pneumonia, and the application of shear wave elastography (SWE) in evaluating diaphragmatic stiffness has been studied. This study investigates confounding factors in diaphragmatic SWE to facilitate the development of a standard protocol that may be used in a clinical setting.</p><p><strong>Methods: </strong>A total of 84 healthy volunteers were subjected to SWE to determine the shear wave velocity (SWV) and coefficient of variation (CV) of their diaphragms. The effects of transducer frequency, respiration, scanning sides, body positioning and region of interest (ROI) were investigated. 20 volunteers from the recruited volunteers were re-scanned by a second observer.</p><p><strong>Results: </strong>No significant differences were observed in median SWV for transducer frequencies, scanning sides and ROI locations. For respiration, median SWV was higher during inspiration than during expiration (p < 0.001). There was also a significant difference in diaphragm CV between the former and the latter (p = 0.038). The median SWV for body position was significantly higher when sitting compared with lying in the supine position (p < 0.001). Regarding CVs, these were lower for the L10-2 transducer, inspiration, left side, supine position, and at inferior ROI locations, although most were not significant except for respiration. Inter-observer reliability appeared to have a low error rate, as indicated by the intra-class correlation coefficient of 0.911.</p><p><strong>Conclusion: </strong>We recommend a protocol that uses a higher frequency L18-5 transducer. Imaging should be taken in the supine position during inspiration at the right middle hemi diaphragm area.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144498987","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":"Cavitation threshold in the porcine crystalline lens.","authors":"Clement Foullounoux, Frederic Mascarelli, Philippe Gain, Gilles Thuret, Cyril Lafon, Maxime Lafond","doi":"10.1016/j.ultrasmedbio.2025.05.018","DOIUrl":"10.1016/j.ultrasmedbio.2025.05.018","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate ultrasonic cavitation thresholds in young (6 months) and old (2-6 years) porcine crystalline lenses using a 2 MHz transducer.</p><p><strong>Methods: </strong>For cavitation threshold estimation, five to nine samples were exposed to bursts of different peak negative pressures from 20.6 to 36.1 MPa with duty cycles (DCs) of 0.025%, 0.05%, 0.1% and subsequently 0.000006% at maximum output. Cavitation signals were recorded and their energies were calculated. The cavitation events percentage was estimated through the detection of energy values outside 5 standard deviations from the mean value.</p><p><strong>Results: </strong>Cavitation thresholds were estimated at -31.7 MPa for a 0.1% DC but severe cataracts were observed. In order to determine a therapeutic application, a more suitable ultrasound scheme using an ultra-low DC (0.6e^-5%, 12 cycles at 1 Hz PRF) was used and a cavitation threshold was determined at -36.1 MPa. In that case, no cataract was observed on a macroscopic scale. Nevertheless, important variations in cavitation thresholds between samples and the two tested populations were observed, most likely due to variations in viscoelastic properties, water content distribution, temperature increases and age disparity.</p><p><strong>Conclusion: </strong>The results show a trend toward higher cavitation probability while increasing the negative pressure at that focus. However, no significant differences in cavitation events percentage could be observed due to the limited sample size. Ultra-low DC results show the feasibility of cavitation nucleation while reducing heat deposition. The safety aspect needs to be explored further.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144369420","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":"Development of Radiomics-Based Risk Prediction Models for Stages of Hashimoto's Thyroiditis Using Ultrasound, Clinical, and Laboratory Factors.","authors":"Jia-Hui Chen, Kai Kang, Xin-Yue Wang, Jian-Ning Chi, Xue-Meng Gao, Yong Xin Li, Ying Huang","doi":"10.1016/j.ultrasmedbio.2025.05.025","DOIUrl":"10.1016/j.ultrasmedbio.2025.05.025","url":null,"abstract":"<p><strong>Objectives: </strong>To develop a radiomics risk-predictive model for differentiating the different stages of Hashimoto's thyroiditis (HT).</p><p><strong>Methods: </strong>Data from patients with HT who underwent definitive surgical pathology between January 2018 and December 2023 were retrospectively collected and categorized into early HT (HT patients with simple positive antibodies or simultaneously accompanied by elevated thyroid hormones) and late HT (HT patients with positive antibodies and beginning to present subclinical hypothyroidism or developing hypothyroidism). Ultrasound images and five clinical and 12 laboratory indicators were obtained. Six classifiers were used to construct radiomics models. The gradient boosting decision tree (GBDT) classifier was used to screen for the best features to explore the main risk factors for differentiating early HT. The performance of each model was evaluated by receiver operating characteristic (ROC) curve. The model was validated using one internal and two external test cohorts.</p><p><strong>Results: </strong>A total of 785 patients were enrolled. Extreme gradient boosting (XGBOOST) showed best performance in the training cohort, with an AUC of 0.999 (0.998, 1), and AUC values of 0.993 (0.98, 1), 0.947 (0.866, 1), and 0.98 (0.939, 1), respectively, in the internal test, first external, and second external cohorts. Ultrasound radiomic features contributed to 78.6% (11/14) of the model. The first-order feature of traverse section of thyroid ultrasound image, texture feature gray-level run length matrix (GLRLM) of longitudinal section of thyroid ultrasound image and free thyroxine showed the greatest contributions in the model.</p><p><strong>Conclusion: </strong>Our study developed and tested a risk-predictive model that effectively differentiated HT stages to more precisely and actively manage patients with HT at an earlier stage.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144369422","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":"Contrast-enhanced Ultrasound Features of Primary Hepatic Lymphoma Are Different From Common Malignant Hepatic Tumors: A Comparative Study.","authors":"Chen Yanni, Wang Feihang, Xu Yadan, Zhang Xiaolong, Qin Hong, Qiu Qixuan, Yuan Kai, Wang Wenping","doi":"10.1016/j.ultrasmedbio.2025.05.002","DOIUrl":"10.1016/j.ultrasmedbio.2025.05.002","url":null,"abstract":"<p><strong>Objective: </strong>To investigate and compare the ultrasonic features of primary hepatic lymphoma (PHL) and other common hepatic malignancies, such as hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma, and colorectal liver metastasis (CRLM).</p><p><strong>Methods: </strong>The ultrasound features and clinical data of pathologically proven PHL (n = 26) were compared with HCC (n = 26), intrahepatic cholangiocarcinoma (n = 26), and CRLM (n = 26).</p><p><strong>Results: </strong>There were significant differences in elevated lactate dehydrogenase levels between the PHL group and the other three groups (p < 0.05). The probability of PHL infection with the hepatitis B virus was lower than that of the HCC groups (p < 0.05). The probability of elevated serum tumor markers in PHL was significantly lower than that in the other three groups (p < 0.05). On conventional ultrasound, the probability of regular morphology in PHL was significantly higher than that in the other three groups (p < 0.05). On contrast-enhanced ultrasound examination, the proportion of vessel penetration signs in PHL was significantly higher than that of the other three groups (p < 0.001). The proportion of PHL with isoenhancement or hypoenhancement in the arterial phase was significantly higher than in the HCC and CRLM groups (p < 0.05). The enhancement type of PHL was different than that of the CRLM group (p < 0.05).</p><p><strong>Conclusion: </strong>Contrast-enhanced ultrasound features are useful in the preoperative and noninvasive differentiation of primary hepatic lymphoma and other malignant hepatic tumors.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144369421","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 Image Quality Assessment for Novel E4D Interventional Imaging Probe.","authors":"Sydney Jupitz, James Zagzebski, Sander Dekker, David Mills, Warren Lee, Lowell Scott Smith, Heather Chan, Thomas K Foo, Bryan P Bednarz","doi":"10.1016/j.ultrasmedbio.2025.05.019","DOIUrl":"10.1016/j.ultrasmedbio.2025.05.019","url":null,"abstract":"<p><strong>Objective: </strong>Ultrasound for guidance during therapy procedures often is augmented when image features of targeted regions are correlated with features derived from other cross-sectional images such as X-ray, CT and MRI. This work aimed to characterize image quality of a novel magnetic resonance-compatible, real-time two-dimensional matrix array (4D) linear ultrasound probe (E4DL) designed for ultrasound-based image-guided interventions. Performance of this 3 MHz prototype transducer is compared to that of two commercial probes-a 4V cardiac probe and a C1-6 curvilinear abdominal probe (GE Healthcare, Milwaukee, WI).</p><p><strong>Methods: </strong>Image quality measurements were performed on a GE Vivid E95 scanner for the E4DL and 4V and on a GE LOGIQ E10 scanner for the C1-6. Depth of penetration (DOP), lateral resolution and 4 mm spherical lesion detectability versus depth (lesion signal-to-noise ratio [LSNR]) were assessed in phantoms. Additionally, in vivo liver images were acquired.</p><p><strong>Results: </strong>The E4DL and 4V probes achieved DOPs of 147.0 ± 1.4 mm and 164.8 ± 3.2 mm, respectively. The C1-6 displayed superior DOP (180+ mm). The lateral resolution was comparable for all probes up to 125 mm. From the LSNR analysis, the C1-6 elevational focal zone appears to be around 50 mm; this was at a greater depth than that of the E4DL (35 mm) or 4V (40 mm) probes. When comparing the LSNR near each focal zone, the E4DL probe outperformed both commercial probes.</p><p><strong>Conclusion: </strong>The E4DL probe yielded image performance metrics comparable to other commercial probes. Due to its image quality and design features, this probe may be useful for image guidance and motion management during medical interventions.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340554","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":"Random Forest-Based Detection of Metastases in Clinically Scanned Lymph Nodes Using Quantitative Ultrasound Imaging.","authors":"Elmira Ghahramani, Cameron Hoerig, Kirk Wallace, Maoxin Wu, Jonathan Mamou","doi":"10.1016/j.ultrasmedbio.2025.05.014","DOIUrl":"10.1016/j.ultrasmedbio.2025.05.014","url":null,"abstract":"<p><strong>Objective: </strong>Quantitative ultrasound (QUS) imaging has been used to characterize the microstructural properties of tissue using information contained in the backscattered radiofrequency (RF) echo signals. QUS methods were previously applied to detect metastases in excised human lymph nodes (LNs) that were raster scanned using a 30 MHz single-element transducer ex vivo. In the current study, a QUS-based method to detect in vivo LN metastases using a clinical scanner was developed.</p><p><strong>Methods: </strong>Parallel RF frames were captured from 46 cervical and axillary LNs in 45 patients and two backscatter coefficient-based and two envelope statistics-based QUS parameters were computed and averaged for each frame. Different combinations of these four QUS parameters, along with the LN's short-axis and short-to-long axis ratio, were used to train random forest models to classify metastatic LNs.</p><p><strong>Results: </strong>The average QUS parameters and radiomics features were significantly different between metastatic and benign LNs (p≤10^-4), except for effective scatterer diameter (p = 0.70). The best-performing random forest model, trained using a combination of QUS and radiomics features, identified metastatic LNs with an area under the receiver-operating characteristic curve of 0.91 and 67% specificity at 100% sensitivity.</p><p><strong>Conclusion: </strong>These results demonstrate the potential of QUS imaging using a clinical scanner for identifying metastatic LNs in vivo to help clinicians perform a more selective LN biopsy or excision.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337178","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":"Volumetric Visualization of the Dermal Vasculature with Signal and Image-based Feature Extraction on a High-frequency Ultrafast Ultrasound Dataset.","authors":"Anam Bhatti, Takuro Ishii, Maxime Lafond, Yoshifumi Saijo","doi":"10.1016/j.ultrasmedbio.2025.05.022","DOIUrl":"10.1016/j.ultrasmedbio.2025.05.022","url":null,"abstract":"<p><strong>Objective: </strong>To effectively observe the complex vascular network of the skin, 3-D volumetric imaging was performed via continuous scanning of a 1-D high-frequency ultrasound array transducer. In comparison to step-wise scanning of volumetric imaging, the acquisition of ultrasonic signal with continuous scanning is faster yet synchronous with a trade-off of transducer translation noise, which impacts the filtering of flow signal and image contrast. In this study, we proposed a processing algorithm to overcome this noise and enhance the visibility of the dermal vasculature.</p><p><strong>Methods: </strong>The proposed approach involved acquiring volumetric data from the dorsum of the hand. The acquired data were segmented along the elevational direction into sections, and region-based singular value decomposition (SVD) filtering was applied to each section to extract the flow signal. Later two-step de-noising was performed based on non-local means (NLM) and top-hat (TH) morphological filters to effectively remove background noise caused by the continuous scanning. All of the processed sections were reconstructed and rendered in a volumetric viewer for 3-D representation of the vasculature.</p><p><strong>Results: </strong>Section-wise, region-based SVD processing highlighted the presence of the vasculature in each 2-D slice. The implementation of NLM and TH filters removed the background scanning noise and significantly enhanced image quality (contrast-to-noise ratio) through 12.87 ± 1.3 dB (before NLM) to 18.91 ± 2.3 dB (after NLM) and 62.61 ± 19.2 dB (after NLM + TH).</p><p><strong>Conclusion: </strong>Comprehensive visualization of the dermal vasculature in a 3-D volumetric view revealed the feasibility and significance of the proposed approach. This provides an insight into the visualization of complex vasculatures in 3-D with a 1-D array transducer, thereby enhancing diagnostic techniques in skin imaging.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334262","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":"Efficacy Assessment and Influencing Factors on Superb Microvascular Imaging (SMI) Microflow Patterns in Solid Thyroid Nodules: What Matters?","authors":"Zhiyan Luo, Yang Sun, Huili Pan, Zimei Lin, Jifang Lv, Ting Huang, Zhenhua Wan, Yurong Hong, Pintong Huang, Resheng Yu","doi":"10.1016/j.ultrasmedbio.2025.04.002","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.04.002","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aims to evaluate the diagnostic efficacy of Superficial Microvascular Imaging (SMI) in differentiating benign from malignant thyroid nodules and to identify influencing factors such as patient body mass index (BMI), tumor size, and nodule depth.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A retrospective analysis was conducted involving 560 patients with 783 pathologically confirmed thyroid nodules between January 2020 and July 2023. Patient demographics, including age, sex, and BMI, were recorded. Thyroid nodules were evaluated using conventional ultrasonography and classified by ACR TI-RADS. Nodule size and depth were measured. Subsequently, Superb Microvascular Imaging (SMI) was performed to assess vascular patterns, classified into six types (I-VIb). Diagnostic performance metrics, including sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were calculated based on histopathological results. Logistic regression analyses identified independent predictors of malignancy, while the impact of BMI, tumor size, and nodule depth on SMI performance was analyzed.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Among the 783 thyroid nodules analyzed, 335 were benign and 448 were malignant. Statistically significant differences were observed between benign and malignant nodules in terms of patient age (p &lt; 0.001), sex (p = 0.032), nodule size (p = 0.025), ACR TI-RADS level (p &lt; 0.001), and vascular distribution on SMI (p &lt; 0.001). Multivariate logistic regression analysis identified several independent predictors of malignancy in thyroid nodules. Increasing age (OR: 0.92, 95% CI: 0.90-0.95, p &lt; 0.001) and female sex (OR: 0.36, 95% CI: 0.18-0.70, p = 0.003) were associated with significantly lower odds of malignancy. Among ACR TI-RADS levels, TR5 emerged as a robust independent predictor of malignancy (OR: 49.94, 95% CI: 16.49-151.20, p &lt; 0.001). Regarding SMI vascular distribution, higher vascular types were strongly associated with an increased risk of malignancy. Specifically, Type III (OR: 8.55, 95% CI: 1.82-40.14, p = 0.007), Type IV (OR: 6.77, 95% CI: 2.68-17.12, p &lt; 0.001), Type V (OR: 9.20, 95% CI: 3.69-22.91, p &lt; 0.001), Type VIa (OR: 89.71, 95% CI: 20.36-395.25, p &lt; 0.001), and Type VIb (OR: 220.39, 95% CI: 42.07-1154.47, p &lt; 0.001) demonstrated a stepwise increase in odds ratios, with Type VIb showing the strongest correlation. The diagnostic performance of SMI was high, achieving a sensitivity of 89.5%, specificity of 85.4%, overall accuracy of 87.7%, positive predictive value (PPV) of 89.1%, negative predictive value (NPV) of 85.9%, and an area under the curve (AUC) of 0.896 (95% CI: 0.876-0.920). Notably, nodule depth significantly influenced diagnostic accuracy. Nodules with depths ≤7.5 mm demonstrated superior diagnostic performance compared to those &gt;7.5 mm (DeLong's test; Z = 3.11, p = 0.0019), while tumor size and patient BMI did not correlate with SMI efficacy.&lt;/p&gt;&lt;p&gt;","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303370","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":"Noninvasive Ultrasound Study of Acute Myocardial Infarction in Different Pathological Phases.","authors":"Zihang Wang, Ting Ma, Yuanyuan Yang, Guodong Wang, Lina Guan, Baihetiya Tayier, Yuming Mu","doi":"10.1016/j.ultrasmedbio.2025.05.021","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.05.021","url":null,"abstract":"<p><strong>Objective: </strong>By evaluating the myocardial mechanics and microcirculation perfusion in different pathological phases of acute myocardial infarction (AMI) using speckle tracking imaging (STI) and myocardial contrast echocardiography (MCE). we aim to provide a non-invasive ultrasound diagnosis strategy to distinguish different pathological phases of AMI.</p><p><strong>Methods: </strong>The C57/BL6 mouse model of acute myocardial infarction (AMI) was created by ligating the left anterior descending coronary artery. Microvessel density (MVD) and pathological changes in the infarct area were analyzed quantitatively and qualitatively using TTC, HE, Masson staining, immunohistochemistry, and immunofluorescence during the inflammatory, proliferative, and mature phases. Global longitudinal strain (GLS), circumferential strain (GCS), and radial strain (GRS) were measured by STI, while myocardial perfusion peak enhancement (PE) and Wish-in-rate (WIR) were measured by MCE.</p><p><strong>Results: </strong>For the inflammatory phase, MVD was 52.8/0.1mm², and inflammatory factors IL-6, IL-1β, and TNFα were up-regulated. WIR showed the best accuracy at this phase, with a value of 12.29 ± 2.24 dB, AUC of 0.93, sensitivity of 1.00, specificity of 0.83, and cut-off of 9.24. For the proliferative phase, MVD dropped to 21.6/0.1mm²; GLS and WIR had high diagnostic performance, with AUCs of 0.89 and 0.97, sensitivities of 0.75 and 1.00, and specificities of 1.00 and 0.91, respectively. In the mature phase, the infarct area became fibrotic, inflammatory factors disappeared, and MVD decreased to 8.6/0.1mm². GRS analysis has diagnostic value, with an AUC of 0.77, sensitivity of 0.91, specificity of 0.66, and a cut-off of 14.36. PE maintained high diagnostic accuracy, with an AUC of 0.93, sensitivity of 1.00, specificity of 0.75, and a cut-off of 5.47.</p><p><strong>Conclusion: </strong>The combination of MCE and STI can act as a reliable non-invasive ultrasound diagnosis to distinguish different pathological phases of AMI.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303371","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":"Targeted Biosynthetic Nanobubbles for Ultrasound Molecular Imaging of Prostate Cancer.","authors":"Tingting Liu, Jieqiong Wang, Tao Cui, Lijie Yang, Zhenzhou Li, Fei Yan","doi":"10.1016/j.ultrasmedbio.2025.05.015","DOIUrl":"https://doi.org/10.1016/j.ultrasmedbio.2025.05.015","url":null,"abstract":"<p><strong>Objective: </strong>As the second leading cause of cancer-related mortality in males worldwide, prostate cancer (PCa) presents an urgent need for advanced molecular imaging strategies to improve diagnostic precision. This study presents CD147-targeted nanobody-conjugated biosynthetic gas vesicles (CD147-hGVs) as a high-performance ultrasound molecular imaging probe for precise and noninvasive diagnosis of PCa.</p><p><strong>Methods: </strong>Biosynthetic gas vesicles (hGVs) were site-specifically functionalized with anti-CD147 nanobodies via controlled maleimide-thiol conjugation chemistry using Mal-PEG2000-NHS heterobifunctional crosslinkers. Systematic characterization included stability assessments, in vitro targeting validation (flow cytometry, cell adhesion, and immunofluorescence on PC-3 cell lines), and in vivo ultrasound imaging in PCa-bearing nude mice using Clinical ultrasound diagnostic equipment Mindray Resona 9T.</p><p><strong>Results: </strong>CD147 -hGVs exhibited remarkable stability with sustained monodispersity (PDI <0.2) and consistent hydrodynamic diameter (234.4 ± 7.6 nm at day 1 vs 236.0 ± 9.8 nm at day 10, p = 0.32). In vitro targeting assays revealed about 7-fold higher binding affinity of CD147-hGVs to PC-3 cells compared to non-targeted controls (p < 0.001). In vivo molecular ultrasound imaging showed tumor-specific signal enhancement persisting for >15 min post-injection, with CD147-hGVs achieving about 6-fold higher contrast to Con-hGVs (p < 0.01).</p><p><strong>Conclusion: </strong>Anti-CD147 nanobody conjugated biological gas vesicles exhibit excellent stability and enhanced targeting ability for prostate cancer cells, making them a promising novel molecular probe for ultrasound imaging and potential therapy for prostate cancer.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295206","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}