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Siemens AG
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TOSHIBA Medical
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Philips Healthcare
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Philips Healthcare
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Philips Healthcare
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Mindray Medical International Limited
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Philips Healthcare
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Philips Healthcare
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Toshiba America Electronic Components Inc
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Journal: Scientific Reports
Article Title: Differences in ankle stabilizing function between the upper and lower fiber bundles of the anterior talofibular ligament: an anatomical study
doi: 10.1038/s41598-025-11747-8
Figure Lengend Snippet: Ultrasound image for measurement of the anterior talofibular ligament length. The ultrasound image captured directly over the origin and insertion of the anterior talofibular ligament allowed the examiner to use a straight-line measurement tool to draw a line from the anterolateral aspect of the lateral malleolus to the talus, which corresponds to the anatomic attachment sites of the ligament.
Article Snippet: An
Techniques:
Journal: Science Advances
Article Title: Size matters: Micro- versus nanobubbles in ultrasound imaging and therapy
doi: 10.1126/sciadv.ads2177
Figure Lengend Snippet: ( A ) Square of the ultrasound pressure detected at the driving frequency (6 MHz corresponding to linear scattering) and second harmonic (12 MHz corresponding to nonlinear scattering) from bubble suspensions, before filtration in PBS (P-NB) and after filtration through a 450-nm filter in PBS (P-NB-F) against a PBS control in a tissue-mimicking phantom. For each suspension, n = 3 samples from separate batches (indicated by separate lines) were exposed to ultrasound for at least 50 pulses. P-NB suspensions were diluted so that the summed bubble volume was matched for P-NB and P-NB-F. For reference, the dashed line represents the scattering measured from PBS alone. ( B ) Linear B-mode and nonlinear contrast mode signal enhancement measured over time from a murine tumor following a tail vein injection of filtered (P-NB-F), unfiltered (P-NB), or SonoVue bubble suspensions and imaged at 18 MHz compared to preinjection images. Each line for P-NB and P-NB-F represents the mean average signal enhancement from three different mice, each receiving 100 μl of bubble suspension (each from a different batch). The dotted curves represent 1 SD.
Article Snippet: In addition, a different
Techniques: Filtration, Control, Suspension, Injection
Journal: Science Advances
Article Title: Size matters: Micro- versus nanobubbles in ultrasound imaging and therapy
doi: 10.1126/sciadv.ads2177
Figure Lengend Snippet: Backscattered power relative to the incident pulse from simulations of the nonlinear propagation of an ultrasound pulse (six cycles, Gaussian enveloped, 8.5-MHz center frequency, and a peak negative pressure of 583 kPa), with a distance of 8 mm through suspensions of phospholipid-coated bubbles with ( A ) diameters from 0.3 to 1 μm and a fixed concentration of 10 9 bubbles/ml and ( B ) a fixed diameter of 0.3 μm and different concentrations from 10 9 to 10 11 bubbles/ml. ( C ) Predicted change in the characteristic acoustic impedance of nanobubble suspensions (200-nm-diameter uncoated air bubbles) at different ultrasound frequencies with varying bubble concentrations.
Article Snippet: In addition, a different
Techniques: Concentration Assay
Journal: Science Advances
Article Title: Size matters: Micro- versus nanobubbles in ultrasound imaging and therapy
doi: 10.1126/sciadv.ads2177
Figure Lengend Snippet: ( A ) Theoretical linear BSC for a bubble population containing nanobubbles (NB; 200 nm in diameter) at a fixed concentration (10 9 bubbles/ml) and microbubbles (MB; 1 μm in diameter) at different relative concentrations. The red and green lines show the contributions of the nano- and microbubbles, respectively, to the total backscatter of 7-MHz ultrasound, which is shown in black. The “contamination factor” is the ratio of the microbubble to nanobubble concentration. ( B ) Theoretical linear BSC for suspensions of filtered and unfiltered bubbles at different ultrasound frequencies based on the experimentally measured size distributions shown in .
Article Snippet: In addition, a different
Techniques: Concentration Assay
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: Annotation of the tumor ROIs. (A) The GIST ultrasound image based on oral contrast-enhanced ultrasonography. (B) The red region indicates the region of interest (ROI).
Article Snippet: We utilized
Techniques:
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: A 61-year-old woman with a 1.8×1.2cm GIST of low NIH risk stratification. (A) Gastroscopy showed a submucosal elevation with a smooth surface visible in the mid-lower anterior portion of the gastric body. (B) Endoscopic ultrasound showed a hypoechoic mass within the fourth layer of the gastric wall. (C) By oral contrast, ultrasound showed a hypoechoic mass in the fourth layer of the gastric body structure with clear borders and homogeneous internal echogenicity.
Article Snippet: We utilized
Techniques:
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: A 54-year-old man with a 4.1×2.6cm GIST of moderate NIH risk stratification. (A) Gastroscopy showed a submucosal elevation with a smooth surface visible in the gastric fundus. (B) Endoscopic ultrasound showed a hypoechoic mass within the fourth layer of the gastric wall. (C) By oral contrast, ultrasound showed a hypoechoic mass in the fourth layer of the gastric body structure with clear borders and homogeneous internal echogenicity.
Article Snippet: We utilized
Techniques:
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: ROC curves of the models (US, US radiomics, and combined) in the validation set ( (A) Internal validation set, (B) External validation set). AUC, area under the curve; US, ultrasound; EUS, endoscopic ultrasound.
Article Snippet: We utilized
Techniques: Biomarker Discovery
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: CC of models (US, US radiomics, and combined) in the validation set ( (A) Internal validation set, (B) External validation set). CC, calibration curve; US, ultrasound; EUS, endoscopic ultrasound.
Article Snippet: We utilized
Techniques: Biomarker Discovery
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: DCA of models (US, US radiomics, and combined) in the validation set ( (A) Internal validation set, (B) External validation set). DCA, The clinical decision curve analysis; US, ultrasound; EUS, endoscopic ultrasound.
Article Snippet: We utilized
Techniques: Biomarker Discovery
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: Annotation of the tumor ROIs. (A) The GIST ultrasound image based on oral contrast-enhanced ultrasonography. (B) The red region indicates the region of interest (ROI).
Article Snippet: We utilized
Techniques:
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: A 61-year-old woman with a 1.8×1.2cm GIST of low NIH risk stratification. (A) Gastroscopy showed a submucosal elevation with a smooth surface visible in the mid-lower anterior portion of the gastric body. (B) Endoscopic ultrasound showed a hypoechoic mass within the fourth layer of the gastric wall. (C) By oral contrast, ultrasound showed a hypoechoic mass in the fourth layer of the gastric body structure with clear borders and homogeneous internal echogenicity.
Article Snippet: We utilized
Techniques:
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: A 54-year-old man with a 4.1×2.6cm GIST of moderate NIH risk stratification. (A) Gastroscopy showed a submucosal elevation with a smooth surface visible in the gastric fundus. (B) Endoscopic ultrasound showed a hypoechoic mass within the fourth layer of the gastric wall. (C) By oral contrast, ultrasound showed a hypoechoic mass in the fourth layer of the gastric body structure with clear borders and homogeneous internal echogenicity.
Article Snippet: We utilized
Techniques:
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: ROC curves of the models (US, US radiomics, and combined) in the validation set ( (A) Internal validation set, (B) External validation set). AUC, area under the curve; US, ultrasound; EUS, endoscopic ultrasound.
Article Snippet: We utilized
Techniques: Biomarker Discovery
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: CC of models (US, US radiomics, and combined) in the validation set ( (A) Internal validation set, (B) External validation set). CC, calibration curve; US, ultrasound; EUS, endoscopic ultrasound.
Article Snippet: We utilized
Techniques: Biomarker Discovery
Journal: Frontiers in Oncology
Article Title: Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors
doi: 10.3389/fonc.2025.1590432
Figure Lengend Snippet: DCA of models (US, US radiomics, and combined) in the validation set ( (A) Internal validation set, (B) External validation set). DCA, The clinical decision curve analysis; US, ultrasound; EUS, endoscopic ultrasound.
Article Snippet: We utilized
Techniques: Biomarker Discovery