Ultrasound Imaging Research Articles

Telemedicine ultrasound assessment for placenta accreta spectrum: Utility and interobserver reliability of asynchronous remote imaging review.

Management of patients with placenta accreta spectrum (PAS) by trained multidisciplinary teams is associated with improved outcomes. Ultrasound can predict intraoperative risks, but expert ultrasound imaging of PAS is often limited. Telemedicine is used increasingly in obstetrics, permitting expert consultation when essential resources are not available locally. Our objective was to evaluate the feasibility of teleconsultation using standardized ultrasound image acquisition and reporting, and to correlate prognosis with intraoperative findings in patients at risk for PAS. A total of 12 PAS imaging experts (teleconsultants) were selected to asynchronously review deidentified standardized grayscale and color Doppler ultrasound images for five patients who had completed treatment for PAS, resulting in 60 individual teleconsultations. All patients were managed at a center using standardized imaging acquisition and intraoperative topographic classification to individualize surgical management. Teleconsultants reported the predicted topographic classification and recommended a surgical approach based on the topographic classification algorithm. Prognoses were compared with that reported by the local sonologist and with intraoperative findings. In all five patients, local sonologist prognosis and antenatal topographic classification was confirmed during surgery and the final surgical approach matched that which was recommended preoperatively. Teleconsultant antenatal evaluation and management plans matched those of the local team in 71.7% of the cases. When reports differed, PAS severity was overestimated in nine reviews (16.9%) and was underestimated in six reviews (11.3%). Remote imaging teleconsultation provides accurate prenatal staging in most patients at risk for PAS. Teleconsultation is a feasible strategy to improve prenatal imaging, management planning, and guidance for local teams in settings with limited healthcare resources.

Artificial intelligence in abdominal and pelvic ultrasound imaging: current applications.

In recent years, the integration of artificial intelligence (AI) techniques into medical imaging has shown great potential to transform the diagnostic process. This review aims to provide a comprehensive overview of current state-of-the-art applications for AI in abdominal and pelvic ultrasound imaging. We searched the PubMed, FDA, and ClinicalTrials.gov databases for applications of AI in abdominal and pelvic ultrasound imaging. A total of 128 titles were identified from the database search and were eligible for screening. After screening, 57 manuscripts were included in the final review. The main anatomical applications included multi-organ detection (n = 16, 28%), gynecology (n = 15, 26%), hepatobiliary system (n = 13, 23%), and musculoskeletal (n = 8, 14%). The main methodological applications included deep learning (n = 37, 65%), machine learning (n = 13, 23%), natural language processing (n = 5, 9%), and robots (n = 2, 4%). The majority of the studies were single-center (n = 43, 75%) and retrospective (n = 56, 98%). We identified 17 FDA approved AI ultrasound devices, with only a few being specifically used for abdominal/pelvic imaging (infertility monitoring and follicle development). The application of AI in abdominal/pelvic ultrasound shows promising early results for disease diagnosis, monitoring, and report refinement. However, the risk of bias remains high because very few of these applications have been prospectively validated (in multi-center studies) or have received FDA clearance.

Caesarean scar endometriosis: how to make an accurate diagnosis.

Caesarean scar endometriosis is a rare condition characterised by the presence of endometrial tissue within a surgical scar following a caesarean section. A woman in her late 30s presented with a painful lump beneath her caesarean section skin scar, worsening during menstruation. Despite a previous incision and drainage procedure for a 'scar abscess', the symptoms persisted. Ultrasound imaging revealed a cystic lesion beneath the scar. A diagnosis of scar endometriosis was made, and surgical excision was performed. The patient remained symptom-free at 2-year follow-up postsurgery. Histopathology confirmed the presence of endometrial glands and stroma within the scar tissue. This case demonstrates that a reliable diagnosis of caesarean section endometriosis could be made with a triad of symptoms of a cyclic painful mass at the site of a caesarean section scar. Imaging is helpful in excluding other differential diagnoses. Diagnosis can be confirmed with histopathology and treated with complete surgical excision.

Development of a Deep Learning Model for Classification of Hepatic Steatosis from Clinical Standard Ultrasound

Early detection and monitoring of hepatic steatosis can help establish appropriate preventative measures against progression to more advanced disease. We aimed to develop a deep learning (DL) program for classification of hepatic steatosis from standard-of-care grayscale ultrasound (US) images. In this single-center retrospective study, we utilized grayscale US images from January 1, 2010, to October 23, 2022, labeled with magnetic resonance imaging (MRI) proton density fat fraction (MRI-PDFF) to develop a DL multi-instance program for differentiating normal (S0) from steatotic liver (S1/2/3) and normal/mild steatosis (S0/1) from moderate/severe steatosis (S2/3). Diagnostic performances were assessed with area under the receiver operating characteristic curves (AUC), sensitivity, specificity and balanced accuracy with 95% confidence interval (CI). A total of 403 patients with 403 US exams were included: 171 (42%) were normal (S0: MRI-PDFF <5%), 154 (38%) had mild steatosis (S1: MRI-PDFF 5-17.4%), 29 (7%) had moderate steatosis (S2: MRI-PDFF >17.4%-22.1%) and 49 (12%) had severe steatosis (S3: MRI-PDFF >22.1%). The dataset was split to include 322 patients in train/validation and 81 patients in a holdout test set (kept blind). The S0 versus S1/2/3 model achieved 81.3% (95% CI 72.1-90.5) AUC, 81.1% (70.6-91.6) sensitivity, 71.4% (54.7-88.2) specificity and 76.3% (66.4-86.2) balanced accuracy. The S0/1 versus S2/3 model achieved 95.9% (89-100) AUC, 87.5% (71.3-100) sensitivity, 96.9% (92.7-100) specificity and 92.2% (83.8-100) balanced accuracy. A multi-class model achieved a sensitivity of 71.4% (54.7-88.2) for S0, 67.6% (52.5-82.7) for S1 and 87.5% (71.3-100) for S2/3; specificity for the same model was 81.1% (70.6-91.6) for S0, 77.3% (64.9-89.7) for S1 and 96.9% (92.7-100) for S2/3. Our DL program offered high sensitivity and accuracy in detecting and categorizing hepatic steatosis from standard-of-care ultrasound.

Intra-Rater Reliability of Panoramic Ultrasound Imaging for Determining Quadriceps Muscle Cross-Sectional Area inMiddle-Aged and Elderly Adults.

Panoramic ultrasound (US) is an extended field-of-view (EFOV) imaging technique that enables visualization of large-scale skeletal muscles. This technique has previously been found to produce valid and reliable quantifications of muscle morphology in primarily young male subjects. The purpose was to investigate the intra-rater between-session test-retest reliability of panoramic US imaging for determining vastus lateralis (VL) and rectus femoris (RF) cross-sectional area (mCSA) in healthy middle-aged to elderly adults. In this cross-sectional study, axial panoramic US images of the RF and VL muscles were captured in 23 healthy females and males aged 47 to 78. Assessed across two sessions 3-7 days apart, intra-rater reliability was evaluated by intraclass correlation coefficients (ICC3,2), within-subject coefficient of variation , standard error of measurement (SEM), and minimal detectable change (MDC). Mean mCSA for RF was mean ± SD, 7.5 ± 2.7 cm2 on both test days, with a numeric difference of 0.8%. Mean VL mCSA was 20.6 ± 6.6 cm2 and 20.5 ± 6.5 cm2 on test days 1 and 2, respectively. Test-retest ICC were: 0.997 (95% CI: 0.994-0.999) for RF and 0.995 (95% CI: 0.989-0.998) for VL. was 2.6% for RF and 2.4% for VL. SEM was 0.2 cm2 for RF and 0.5 cm2 for VL. MDC was 0.4 cm2 for RF and 1.3 cm2 for VL. In conclusion, panoramic EFOV US is a highly reliable imaging technique for assessing RF and VL mCSA in middle-aged and elderly adults. These findings endorse the clinical and research utility of EFOV US and its sensitivity for detecting even minor changes in skeletal muscle size.

Ultrasound and magnetic resonance imaging (MRI) features of angioleiomyoma.

Vascular leiomyoma or angioleiomyoma is a rare benign tumor which belongs to the group of benign smooth muscle tumors. They are commonly located at the extremities, usually presented as a painful solitary lesion in the subcutaneous tissue. To date, very few reports describe its characteristics from an imaging point of view, especially their ultrasound characteristics, making it difficult to do a pre-surgical diagnosis. Our purpose is to describe the clinical, pathologic and imaging features of angioleiomyoma [ultrasound, Doppler ultrasound and magnetic resonance imaging (MRI) findings]. We retrospectively reviewed from the pathology database from Hospital Universitario Fundación Alcorcón, Madrid, Spain, the clinical histories of 139 patients who had surgical excision and histologic diagnosis of angioleiomyoma during the last 17 years, from May 31st 2006 to April 17th 2023. Of those patients, we focused on 50 who had soft tissue angioleiomyoma with imaging study [ultrasonography (US) and/or MRI] performed in our institution, making a descriptive cross-sectional study. In our series, a very characteristic ultrasonographic and US Doppler pattern was found. It consists in the presence of a well defined, homogeneous and highly vascularized soft tissue tumor, sometimes with the presence of a feeding vessel. When the described US features appear in a mobile and elastic subcutaneous slow growing tumor on an extremity, the diagnosis of angioleiomyoma should be considered as highly probable.

VMC‐UNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image

ABSTRACTBreast cancer remains one of the most significant health threats to women, making precise segmentation of target tumors critical for early clinical intervention and postoperative monitoring. While numerous convolutional neural networks (CNNs) and vision transformers have been developed to segment breast tumors from ultrasound images, both architectures encounter difficulties in effectively modeling long‐range dependencies, which are essential for accurate segmentation. Drawing inspiration from the Mamba architecture, we introduce the Vision Mamba‐CNN U‐Net (VMC‐UNet) for breast tumor segmentation. This innovative hybrid framework merges the long‐range dependency modeling capabilities of Mamba with the detailed local representation power of CNNs. A key feature of our approach is the implementation of a residual connection method within the U‐Net architecture, utilizing the visual state space (VSS) module to extract long‐range dependency features from convolutional feature maps effectively. Additionally, to better integrate texture and structural features, we have designed a bilinear multi‐scale attention module (BMSA), which significantly enhances the network's ability to capture and utilize intricate feature details across multiple scales. Extensive experiments conducted on three public datasets demonstrate that the proposed VMC‐UNet surpasses other state‐of‐the‐art methods in breast tumor segmentation, achieving Dice coefficients of 81.52% for BUSI, 88.00% for BUS, and 88.96% for STU. The source code is accessible at https://github.com/windywindyw/VMC‐UNet.

Xanthogranulomatous Cholecystitis: A Retrospective Review of Clinical Diagnosis and Treatment from a Single Center.

The objective of this study was to evaluate and compare the histopathological, clinical, and treatment characteristics of xanthogranulomatous cholecystitis (XGC) in patients undergoing cholecystectomy at a single center. Aim: We aim to enhance the understanding of its presentation and improve its differential diagnosis from other gallbladder pathologies. Methods: We retrospectively reviewed 6783 cholecystectomy cases performed between January 2015 and January 2023 at the General Surgery Clinic of Haydarpaşa Numune Training and Research Hospital, and a diagnosis of xanthogranulomatous cholecystitis was histopathologically established in 131 patients. In this retrospective study, we examined the clinicopathological characteristics, preoperative imaging methods and findings, histopathological images, surgical procedure methods, and postoperative complications of 131 patients. Results: The study included 131 patients, with ages ranging from 18 to 88 years, of which 74 (56.5%) were female and 57 (43.5%) were male. Ultrasound imaging was performed on 128 patients. Ultrasound imaging revealed wall thickening in 72.7% of cases, hypoechoic nodules in 13.3%, biliary tract pathologies in 10.9%, and adenomyomatosis in 3.1%. A total of 59 cases had MRI. On MRI, wall thickening was observed in 50.8% of cases, biliary tract pathologies in 33.9%, adenomyomatosis in 10.2%, hypoechoic nodules in 3.4%, and hypoechoic nodules + wall thickening (HN + WT) in 1.7%. Histopathological diagnosis was diffuse in 79.4% of cases and focal in 20.6%. In addition to cholecystectomy, non-surgical interventions were not required in 77.1% of the cases, while 11.5% underwent ERCP, 9.2% underwent percutaneous procedures, 1.5% underwent both ERCP and percutaneous procedures, and 0.8% underwent other non-surgical interventions. Of the surgeries, 93.1% were elective and 6.9% were emergency. Postoperative complications were not observed in 84% of the patients; 5.3% experienced surgical complications, 5.3% had surgical site infection, and 5.3% had other complications (pneumonia and urinary infection). The length of hospital stay ranged from 0 to 26 days, with a mean of 5.27 ± 4.59 days and a median of 4 days. Conclusions: Xanthogranulomatous cholecystitis is a rare disease of the gallbladder with no characteristic radiological or clinical findings and can often be confused with gallbladder cancer. Further studies involving larger populations are needed to improve the preoperative diagnosis.

Can ultrasonography be used to detect root perforation? An invitro study.

This study assessed the usability of ultrasonography in detecting root canal perforations. The buccal side of incisor root were perforated. The actual lengths up to the perforation site were measured by visualisation of the tip of a file. Specimens were embedded in gypsum, and it was scraped to simulate bone resorption. Resorption cavities were filled with ultrasound gel. Measurements were taken by advancing a file through the canal until the tip became visible in the ultrasound image. 3D scans were obtained using cone-beam computed tomography (CBCT) and the distance between the coronal point of the resorption cavity and the reference point was measured. The actual distance of the resorption cavity from the reference point varied 6-10.6 mm. The same distances were measured via ultrasound as 5.7-10.9 mm, while measured using CBCT 6-10.5 mm. No significant differences were found. Ultrasonography shows promise for detecting root perforations, however further research is needed.

SRY+ Derivative X Chromosome in a Female With Apparently Typical Sexual Development.

When the SRY gene is present in a 46,XX fetus, some degree of testicular development is expected. Our laboratory performed prenatal genetic testing for a fetus that had screened positive for Y chromosome material by noninvasive prenatal screening (NIPS) but that had apparently typical female development by ultrasound imaging. The aim of this study was to determine the clinical relevance of the NIPS results. We analyzed fetal material obtained via amniocentesis procedure by G-banding, microarray, and fluorescence insitu hybridization (FISH). Optical genome mapping (OGM) was also performed. G-band analysis revealed a normal 46,XX karyotype. Microarray and FISH analyses together detected an SRY+ gain of 5.7 Mb from terminal Yp that was translocated to terminal Xq, with a loss of 1.6 Mb from terminal Xq. The final karyotype was 46,X,der(X)t(X;Y)(q28;p11.2). Prenatal ultrasound and postnatal physical examination revealed apparently typical female genitalia. The Xq deletion encompassed a gene, IKBKG, that is sensitive to loss of function, suggesting that preferential inactivation of the derivative X chromosome allowed for typical female development. OGM software did not directly identify this translocation. This case demonstrates how the SRY gene may be present in a 46,XX biological female without differences of sexual development.

Ultrasound Imaging: Enhancing the diagnosis of Carpal Tunnel Syndrome

Ultrasound Imaging: Enhancing the diagnosis of Carpal Tunnel Syndrome

Associations Between Body Mass Index, Gait Biomechanics, and In Vivo Cartilage Function After Exercise in Those With Anterior Cruciate Ligament Reconstruction

Background: Both high body mass index (BMI) and anterior cruciate ligament reconstruction (ACLR) independently influence knee osteoarthritis risk. Preliminary evidence shows the combination of these risk factors leads to poorer recovery and altered biomechanical outcomes after ACLR, but few studies have directly evaluated early changes in cartilage health between normal-BMI and high-BMI groups in this population. Purpose: To evaluate ultrasound-based measures of cartilage strain and compositional changes (via echo-intensity [EI]) in response to an incline walking stress test between normal-BMI and high-BMI individuals with ACLR. A secondary evaluation was conducted of associations between habitual walking biomechanics (ie, ground-reaction forces, sagittal knee kinetics and kinematics) and cartilage strain and EI outcomes. Study Design: Controlled laboratory study. Methods: Gait biomechanics and femoral trochlear ultrasound analyses were evaluated in 64 participants with ACLR who had normal BMI (BMI < 27.0; n = 40) and high BMI (BMI ≥ 27.0; n = 24). Ultrasound images were collected bilaterally before and after an incline treadmill walk, and medial and lateral trochlear strain and EI changes pre-post exercise were used to compare BMI groups and limbs. Gait outcomes included ground-reaction forces, peak sagittal plane knee moments, angles, and excursions and were used to determine associations with cartilage outcomes in the entire cohort. Results: High-BMI individuals with ACLR exhibited greater medial trochlear cartilage strain in the ACLR limb compared with normal-BMI individuals (approximately 6%; P < .01). In those with high BMI, the ACLR limb exhibited greater medial trochlear strain relative to non-ACLR limbs (approximately 4%; P < .05), but between-limb differences were not observed in the normal-BMI group (P > .05). Medial trochlear EI changes were greater bilaterally in those with high BMI compared with normal-BMI ACLR counterparts (approximately 10%; P < .01). Last, individuals who walked with greater peak knee flexion angles exhibited less medial cartilage strain (ΔR2 = 0.06; P = .025). Conclusion: The data suggested that high BMI affects cartilage functional properties after ACLR, whereas smaller knee flexion angles were associated with larger medial cartilage strain. Clinical Relevance: High-BMI individuals with ACLR may represent a subset of patients exhibiting earlier declines in cartilage functional integrity in response to loading, necessitating additional or more targeted interventions to mitigate disease development.

A Risk Stratification Study of Ultrasound Images of Thyroid Nodules Based on Improved DETR

ABSTRACTThe Chinese Thyroid Imaging Reporting and Data System (C‐TIRADS) standard is based on the Chinese current medical context. However, at present, there is a lack of C‐TIRADS‐based automatic computer‐aided diagnosis system for thyroid nodule ultrasound images, and the existing algorithms for detecting and recognizing thyroid nodules are basically for the dichotomous classification of benign and malignant. We used the DETR (detection transformer) model as a baseline model and carried out model enhancements to address the shortcomings of unsatisfactory classification accuracy and difficulty in detecting small thyroid nodules in the DETR model. First, to investigate the method of acquiring multi‐scale features of thyroid nodule ultrasound images, we choose TResNet‐L as the feature extraction network and introduce multi‐scale feature information and group convolution, thereby enhancing the model's multi‐label classification accuracy. Second, a parallel decoder architecture for multi‐label thyroid nodule ultrasound image classification is designed to enhance the learning of correlation between pathological feature class labels, aiming to improve the multi‐label classification accuracy of the detection model. Third, the loss function of the detection model is improved. We propose a linear combination of Smooth L1‐Loss and CIoU Loss as the model's bounding box loss function and asymmetric loss as the model's multi‐label classification loss function, aiming to further improve the detection model's detection accuracy for small thyroid nodules. The experiment results show that the improved DETR model achieves an AP of 92.4% and 81.6% with IoU thresholds of 0.5 and 0.75, respectively.

Suppression of the Tissue Component With the Total Least‐Squares Algorithm to Improve Second Harmonic Imaging of Ultrasound Contrast Agents

ABSTRACTThe second harmonic (SH) of ultrasound contrast agents (UCAs) is widely used in contrast‐enhanced ultrasound imaging; however, is affected by the nonlinearity of surrounding tissue. Suppression of the tissue component based on the total least‐squares (STLS) algorithm is proposed to enhance the SH imaging of UCAs. The image blocks of pulse‐inversion‐based SH images before and after UCA injections are set as the reference and input of the total least‐squares model, respectively. The optimal coefficients of the model are obtained by minimizing the Frobenius norm of perturbations in the input and output signals. After processing all image blocks, the complete SH image of UCAs is obtained by subtracting the optimal output of the model (i.e., the estimated tissue SH image) from the SH image after UCA injection. Simulation and in vivo experiments confirm that the STLS approach offers clearer capillaries. For in vivo experiments, the STLS‐based contrast‐to‐tissue ratios and contrasts increase by 26.90% and 56.27%, as well as 26.99% and 56.43%, respectively, compared with those based on bubble‐echo deconvolution and pulse inversion bubble‐wavelet imaging methods. The STLS approach enhances the SH imaging of UCAs by effectively suppressing more tissue SH components, having the potential to provide more accurate diagnostic information for clinical applications.

Primary abdominal pregnancy with a viable fetus: clinical case of successful management

Abdominal pregnancy, occurring outside typical intrauterine locations, poses substantial risks to maternal health due to the potential for severe bleeding from placental detachment. Despite its rarity, accounting for 1–1.5% of ectopic pregnancies, its mortality rates are significantly higher, with maternal mortality ranging from 2% to 30%.Case report. A 42-year-old woman, pregnant with her third pregnancy at 33 weeks, was admitted to the hospital with abdominal pain. All antenatal visits were performed without the use of ultrasound. Utilizing ultrasound and magnetic resonance imaging (MRI), we diagnosed an abdominal pregnancy, revealing an extrauterine fetus and placenta, and clarified the location of the placenta, and the involvement of nearby structures. Prompt surgical intervention via laparotomy ensured successful delivery and maternal well-being. The male baby was born in good condition, and no congenital abnormalities were observed.Discussion: Ultrasound remains the primary diagnostic tool, complemented by MRI for precise evaluation. Early diagnosis is paramount, emphasizing the need for improved clinical understanding and vigilance, with MRI serving as a valuable adjunct in uncertain cases. Early surgical intervention, guided by diagnostic imaging, improves outcomes, underscoring the importance of a multidisciplinary approach to the management of abdominal pregnancy.

Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness.

Dynamic contrast-enhanced ultrasound (CEUS) imaging can reflect the microvascular distribution and blood flow perfusion, thereby holding clinical significance in distinguishing between malignant and benign thyroid nodules. Notably, CEUS offers a meticulous visualization of the microvascular distribution surrounding the nodule, leading to an apparent increase in tumor size compared to gray-scale ultrasound (US). In the dual-image obtained, the lesion size enlarged from gray-scale US to CEUS, as the microvascular appeared to be continuously infiltrating the surrounding tissue. Although the infiltrative dilatation of microvasculature remains ambiguous, sonographers believe it may promote the diagnosis of thyroid nodules. We propose a deep learning model designed to emulate the diagnostic reasoning process employed by sonographers. This model integrates the observation of microvascular infiltration on dynamic CEUS, leveraging the additional insights provided by gray-scale US for enhanced diagnostic support. Specifically, temporal projection attention is implemented on time dimension of dynamic CEUS to represent the microvascular perfusion. Additionally, we employ a group of confidence maps with flexible Sigmoid Alpha Functions to aware and describe the infiltrative dilatation process. Moreover, a self-adaptive integration mechanism is introduced to dynamically integrate the assisted gray-scale US and the confidence maps of CEUS for individual patients, ensuring a trustworthy diagnosis of thyroid nodules. In this retrospective study, we collected a thyroid nodule dataset of 282 CEUS videos. The method achieves a superior diagnostic accuracy and sensitivity of 89.52% and 94.75%, respectively. These results suggest that imitating the diagnostic thinking of sonographers, encompassing dynamic microvascular perfusion and infiltrative expansion, proves beneficial for CEUS-based thyroid nodule diagnosis.

Efficacy of Diagnostic In-Office Shoulder Ultrasound in the Surgical Treatment of Full-Thickness Rotator Cuff Tears.

Early surgical management of full-thickness traumatic rotator cuff tears (RCTs) may optimize functional outcomes, prioritizing timely diagnoses. Ultrasound and magnetic resonance imaging (MRI) are highly sensitive and specific modalities for RCT diagnosis, yet MRI remains the gold standard diagnostic tool despite increased costs and potential delays in care. Ultrasound can provide same-day diagnosis, thus possibly expediting care. The use of diagnostic shoulder ultrasound alone in the orthopaedic surgeon's office could increase the efficiency of diagnosis and care of traumatic full-thickness RCTs compared with MRI. Cohort study; Level of evidence, 3. A retrospective chart review of patients with full-thickness traumatic RCT diagnosed via ultrasound or MRI who subsequently underwent rotator cuff repair with 1 of 2 ultrasound-trained surgeons between January 1, 2014, and December 31, 2019, was performed. Inclusion criteria included patients ≥18 years old, documentation of a first-time traumatic event, and the patient's desire to have immediate surgical management. Revision surgeries, long-term shoulder instability, and nontraumatic injuries were excluded. Basic demographic data were collected, and the number of preoperative office visits and the timing from initial evaluation to diagnosis and surgery were calculated for the ultrasound and the MRI cohorts. A power analysis of 0.8 with an alpha of .05 required 38 patients per group. Overall, 133 patients were diagnosed via MRI compared with 76 via ultrasound. Besides body mass index, there were no significant differences in demographic variables or insurance status. Compared with the MRI cohort, patients in the ultrasound cohort received their diagnosis almost 2 weeks faster (P < .0001), were scheduled for surgery almost 3 weeks faster (P < .0001), and underwent surgery 2 weeks faster after initial evaluation (P < .0001) while requiring nearly half as many clinical visits (P < .0001). Regression analysis confirmed that ultrasound significantly reduced time to imaging, scheduling, and surgery after initial evaluation while requiring fewer clinical visits (P < .05). The study findings indicated that ultrasound was a time-saving alternative diagnostic modality for traumatic RCT compared with MRI without compromising standard of care. These results were achieved independent of patient insurance status, disability index, or other demographic variables.

11666 Accuracy of Hysteroscopy, Pelvic Ultrasound and Magnetic Resonance Imaging for the Diagnosis of Isthmocele: A Cross-Sectional Study

11666 Accuracy of Hysteroscopy, Pelvic Ultrasound and Magnetic Resonance Imaging for the Diagnosis of Isthmocele: A Cross-Sectional Study

Neovascularization as a Leading Mechanism of Intraplaque Hemorrhage and Carotid Plaque Destabilization: A Narrative Review.

Intraplaque neovascularization (IPN) is considered a leading mechanism causing carotid plaque destabilization. We provide an objective and comprehensive summary of the biology, imaging techniques, and treatment options related to carotid IPN. Plaque neovascularization has been reported to originate mainly from the adventitial vasa vasorum as a response to hypoxia. The leakage and rupture of neovessels lead to the formation of extravasations and foci of inflammation that destabilize the plaque. Vascular endothelial growth factor and its receptors are key regulators of neoangiogenesis. Neovascularization can be analyzed by advanced computed tomography and magnetic resonance imaging. The basic tools for the ultrasound assessment of IPN are contrast-enhanced ultrasound, superb microvascular imaging, and ultrasound molecular imaging. A promising direction of research seems to be the identification of patients with advanced plaque neovascularization. A simple test assessing low-velocity flow in the IPN can detect patients at risk of stroke before they experience rupture of defective neovessels and intracerebral embolism. In addition to surgical treatment, the stabilization of carotid atherosclerotic plaque can be supported pharmacologically. Statins have the best-documented role in this respect. The ideal moment of intensified therapeutic intervention in patients with previously stable carotid plaque is its increased neovascularization. However, the time frame in which intracerebral embolization may occur is unknown, and therapeutic intervention may be too late. The formation of deficient neovessels can currently be non-invasively evaluated with ultrasound. Superb microvascular imaging may change the clinical approach for asymptomatic patients at risk of cerebral ischemia.

Ultrasound Findings After Breast Cancer Radiation Therapy: Cutaneous, Pleural, Pulmonary, and Cardiac Changes.

External beam radiation therapy (RT) can induce toxicity in patients surgically treated for breast cancer. Modern irradiation techniques have lowered the incidence and severity of radiation-induced injuries; however, their side effects on normal tissues remain challenging. This review illustrates early and late changes observed using ultrasound (US) imaging, including echocardiography, at the skin, muscle, pleura, lungs, and heart levels. The US findings and the potential role of this technique in detecting and grading early and late complications of RT are highlighted in this article. US has proven useful in the differential diagnosis of post-RT complications, including but not limited to cancer recurrence and toxicity from other sources, such as anticancer drugs. Additionally, considering the progressive nature of RT-induced injury, early detection of toxicity may be helpful in the individual stratification of damage risk and serve as a tool for patient screening and management. In these cases, US can be used as a radiation-free biomarker of RT side effects at the subclinical stage.