Color Doppler Ultrasound Imaging Research Articles

Evaluation of the Efficiency of Ultrasonography and Color Doppler in Diagnosis of Intraosseous Jaw Lesions: An In Vivo Study.

The current in vivo investigation aimed to evaluate the accuracy of ultrasonography and color Doppler performed in the diagnosis of intraosseous jaw lesions. A total of 30 patients with intraosseous jaw lesions between the ages of 12 and 60 were selected for the present study. For every jaw lesion, a preliminary diagnosis was done using preoperative conventional radiographs. A sonologist evaluated the preoperative ultrasound examination and color Doppler images to determine the lesion's content, vascular supply, and preliminary classification was made as either a cyst or a tumor. The tissue was curetted during the surgical procedure to facilitate the histological examination. Every measurement and result were compared, and a statistical analysis was performed. On ultrasound and color Doppler examination out of 8 solid lesions, 2 (25%) were non-vascular and 6 (75%) were vascular.11 (64.7%) out of 17 cystic lesions were non-vascular and 6 (35.3%) were vascular. About 2 (66.7%) out of 3 complex lesions were non-vascular and 1 (33.3%) was vascular. And out of 2 Inconclusive lesions 1 (50%) was vascular and another 1 (50%) was non-vascular. There was a statistically significant difference found between color Doppler and ultrasound characteristics (0.001). Histopathological examination determined that 8 (100%) solids were diagnosed as the tumor. And 8 (47.1%) out of 17 cystic lesions were diagnosed as the tumor and 9 (52.9%) as cysts on histopathological examination. Out of 3 complex lesions 2 (66.7%) lesions were diagnosed as the tumor and 1(33.3%) as cysts. And 2 cases which were inconclusive were diagnosed as cysts and 1 tumor each. There was no statistically significant difference found between histopathological characteristics and ultrasound characteristics (p = 0.081). The current investigation came to the conclusion that ultrasound can reliably distinguish between a cyst and a tumor and provide correct information about the pathological nature of a jaw lesion. Ultrasound has been a crucial diagnostic tool for numerous medical specialties. It is simple to use and can provide a detailed representation of soft tissues. Furthermore, it facilitates the accurate localization of samples when necessary and the evaluation of the solid and cystic components of lesions. How to cite this article: Sidhu VK, Nath S, Debbarma H, et al. Evaluation of the Efficiency of Ultrasonography and Color Doppler in Diagnosis of Intraosseous Jaw Lesions: An In Vivo Study. J Contemp Dent Pract 2024;25(10):963-967.

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.

Morphological and Hemodynamic Features of the Carotid Artery on Color Doppler Ultrasound in Hypertensive Patients

Objective: 1. Described the characteristics and morphology of the carotid artery on color Doppler ultrasonography in patients with hypertensive. 2. Determine the relationship between carotid intima-media thickness (cIMT) on color Doppler ultrasound images and some clinical and laboratory parameters and some risk factors in hypertensive patients. Subjects and methods: This was a cross-sectional descriptive study on 64 hospitalized hypertensive patients. Results: 62.5% are female. Mean age 66.41±11.91. The right common cIMT 0.74 (0.7-0.81) mm; the left was 0.8 (0.7-0.8) mm; the average cIMT on both sides was 0.75 (0.75-0.79) mm. Mean peak systolic velocity of the right common carotid artery 58.03±14.74 cm/s; left side 60.71±15.73 cm/s. Right common carotid end-diastolic velocity 14.68±4.88 cm/s; left side 16.09±6.04 cm/s. Right common carotid resistance index 0.75±0.063; left side 0.74±0.067. There were 25 (39.1%) cases of right common carotid atherosclerotic plaque with the thickest 2.500.71mm and 33 (51.6%) cases of left common carotid plaque with the thickest 2.3 (1.99-2)mm. There were an independent correlation between age and sex with the cIMT on both sides with correlation coefficients of R=0.514, p=0.013; R=0.514, p < 0.0001, respectively. Conclusion: There were a correlation between the common cIMT with age and sex, every 1 year increase will increase the thickness of the common cIMT by 0.005 mm. cIMT was higher than in men.

Catheter-related internal jugular vein thrombosis in neonates and long-term consequences: a prospective cohort study.

The incidence of central venous catheter-related thrombosis and the long-term effects of thrombosis on catheterized veins in neonates is unknown. We therefore determined the incidence of central venous thrombosis, identified associated risk factors, and evaluated outcomes at 6 months. We enrolled neonates aged less than 28 days scheduled for major intestinal or cardiac surgery whom we expected to require central venous catheters for at least 48 hours. Catheter size, insertion method, and puncture site were determined by the attending anesthesiologist. The duration of catheterization was also determined by clinical need. Central venous thrombi were diagnosed by color Doppler ultrasound imaging within 48 hours after catheter removal; results were not shared with clinicians. Ultrasound examinations were repeated 1, 3, and 6 months after discharge. We enrolled 188 neonates over 2 years. The median duration of catheter insertion was 12 days. 128 (68%) of the neonates had central venous thrombi at the catheter site, all of which were asymptomatic. Among patients with thrombi, 29 (23%) had complete vessel occlusion and 5 (4%) had venous stenosis at 6 months after discharge. Thrombi therefore spontaneously resolved by 6 months in 73% of the neonates. CVC/vein diameter ratio, duration of catheterization, and catheter dysfunction were independent risk factors for vessel thrombus. Complete vessel occlusion was most common in patients whose thrombus occupied more than 58% of the vessel at the initial assessment. Covert central venous thrombosis is frequent in neonates who have central venous catheters, and complications are most common in patients who have large intravascular thrombi. Neonates with large intravascular thrombi should be followed, and considered for anticoagulation.

Exosomes from Hypoxia Preconditioned Muscle-Derived Stem Cells Enhance Cell-Free Corpus Cavernosa Angiogenesis and Reproductive Function Recovery.

Tissue engineering for penile corpora cavernosa defects requires microvascular system reconstruction.GelMA hydrogels show promise for tissue regeneration. However, using stem cells faces challenges such as immune rejection, limited proliferation and differentiation, and biosafety concerns. Therefore, acellular tissue regeneration may avoid these issues. Exosomes are used from muscle-derived stem cells (MDSCs) to modify 3D-printed hydrogel scaffolds for acellular tissue regeneration. Hypoxia-preconditioned MDSC-derived exosomes are obtained to enhance the therapeutic effect. In contrast to normoxic exosomes (N-Exos), hypoxic exosomes (H-Exos) are found to markedly enhance the proliferation, migration, and capillary-like tube formation of human umbilical vein endothelial cells (HUVECs). High-throughput sequencing analysis of miRNAs isolated from both N-Exos and H-Exos revealed a significant upregulation of miR-21-5p in H-Exos following hypoxic preconditioning. Further validation demonstrated that the miR-21-5p/PDCD4 pathway promoted the proliferation of HUVECs. Epigallocatechin gallate (EGCG) is introduced to improve the mechanical properties and biocompatibility of GelMA hydrogels. EGCG-GelMA scaffolds loaded with different types of Exos are transplanted to repair rabbit penile corpora cavernosa defects, observed the blood flow and repair status of the defect site through color Doppler ultrasound and magnetic resonance imaging, and ultimately restored the rabbit penile erection function and successfully bred offspring. Thus, acellular hydrogel scaffolds offer an effective treatment for penile corpora cavernosa defects.

Comparison of Different Ultrasonic Screening Methods and Analysis of High Risk Factors for Fetal Cardiac Malformation in Second Trimester of Pregnancy.

Current study aims to compare the application of two-dimensional (2D) color doppler ultrasound (CDU) and four-dimensional (4D) ultrasound spatiotemporal image correlation (STIC) in fetal congenital heart disease in the second trimester of pregnancy and to analyze the high risk factors of the disease. From August 2019 to July 2021, 135 second-trimester patients with highly suspected congenital heart malformations were selected who underwent prenatal screening at South Taihu Hospital Affiliated to Huzhou University. 2D-CDU, 4D STIC, and postnatal examination were completed in all patients. 2D-CDU, 4D STIC and 2D-CDU combined with 4D STIC were used to detect fetal cardiac malformations and classify cardiac malformations. The sensitivity, specificity, positive predictive value, negative predictive value and coincidence rate of 2D-CDU, 4D STIC and 2D-CDU combined with 4D STIC were compared. The results of 2D-CDU, 4D STIC and 2D-CDU combined with 4D STIC screening were analyzed for consistency using the results of postpartum diagnosis as the gold standard. Moreover, effects of maternal gestational factors on fetal cardiac malformations by univariate and multivariate analysis. 2D-CDU combined with 4D STIC showed significantly higher section display number than 2D-CDU or 4D STIC in the view of ductal arch, aortic arch, and aortic short-axis. A total of 45 cases of fetal congenital heart malformation were detected in 135 patients in the second trimester, 40, 38 or 42 cases were detected by 2D-CDU, 4D STIC or 2D-CDU combined with 4D STIC, respectively. The sensitivity, specificity, positive predictive value, negative predictive value and coincidence rate of 2D-CDU combined with 4D ultrasound in congenital heart malformation screening were higher than those of 2D-CDU or 4D STIC. Kappa agreement analysis showed that the diagnostic results of 4D STIC and 2D-CDU combined with 4D ultrasound in fetuses with suspected congenital heart malformation were in excellent agreement (κ > 0.75), while 2D-CDU was in good agreement with postpartum diagnosis (κ < 0.75). Univariate and multivariate regression analysis revealed that maternal age ≥ 35, drinking during pregnancy, and history of adverse pregnancy and childbirth were all independent risk factors for fetal cardiac malformations, while folic acid supplementation was an independent protective factor for fetal cardiac malformations. 2D-CDU combined with 4D echocardiography may be superior to single 2D-CDU or 4D STIC in the screening of fetal congenital heart malformation in the second trimester. In order to reduce the incidence of fetal heart anomalies, we should strengthen the screening of pregnancy anomalies in high-risk pregnant women and control the risk factors.

Deep learning driven diagnosis of malignant soft tissue tumors based on dual-modal ultrasound images and clinical indexes

BackgroundSoft tissue tumors (STTs) are benign or malignant superficial neoplasms arising from soft tissues throughout the body with versatile pathological types. Although Ultrasonography (US) is one of the most common imaging tools to diagnose malignant STTs, it still has several drawbacks in STT diagnosis that need improving.ObjectivesThe study aims to establish this deep learning (DL) driven Artificial intelligence (AI) system for predicting malignant STTs based on US images and clinical indexes of the patients.MethodsWe retrospectively enrolled 271 malignant and 462 benign masses to build the AI system using 5-fold validation. A prospective dataset of 44 malignant masses and 101 benign masses was used to validate the accuracy of system. A multi-data fusion convolutional neural network, named ultrasound clinical soft tissue tumor net (UC-STTNet), was developed to combine gray scale and color Doppler US images and clinic features for malignant STTs diagnosis. Six radiologists (R1-R6) with three experience levels were invited for reader study.ResultsThe AI system achieved an area under receiver operating curve (AUC) value of 0.89 in the retrospective dataset. The diagnostic performance of the AI system was higher than that of one of the senior radiologists (AUC of AI vs R2: 0.89 vs. 0.84, p=0.022) and all of the intermediate and junior radiologists (AUC of AI vs R3, R4, R5, R6: 0.89 vs 0.75, 0.81, 0.80, 0.63; p &amp;lt;0.01). The AI system also achieved an AUC of 0.85 in the prospective dataset. With the assistance of the system, the diagnostic performances and inter-observer agreement of the radiologists was improved (AUC of R3, R5, R6: 0.75 to 0.83, 0.80 to 0.85, 0.63 to 0.69; p&amp;lt;0.01).ConclusionThe AI system could be a useful tool in diagnosing malignant STTs, and could also help radiologists improve diagnostic performance.

Effects of Platelet-Rich Plasma Combined with Physical Therapy on IL-1β, TGF-β1, and MMP-3 in Patients with Knee Osteoarthritis.

The occurrence of osteoarthritis in the knee joint is regulated by a complex network, and there is currently no specific therapeutic drug available. Functional exercises and treatments targeting inflammatory factors have shown the potential to alleviate knee osteoarthritis to some extent. Therefore, the aim of this study was to assess the intra-articular injection (IAI) of autologous platelet-rich plasma (PRP) combined with physical therapy (PT) in treating knee osteoarthritis. A total of 128 patients with knee osteoarthritis were included in the study, including 64 males and 64 females. A total of 128 patients were divided into sodium hyaluronate group (HA group), PRP group, PRP + PT group, and PT group, with 32 cases in each group. Visual analog scale (VAS), Western Ontario and McMaster University Osteoarthritis Index (WOMAC), and Japanese Orthopaedic Association (JOA) were employed to evaluate the recovery of patients from pain and osteoarthritis. Color Doppler ultrasound imaging technology was utilized to assess joint effusion, synovial membrane thickness, and articular cartilage thickness in patients with knee osteoarthritis. Enzyme-linked immunosorbent assay (ELISA) was employed to detect the levels of interleukin-1β (IL-1β), transforming growth factor-β1 (TGF-β1), and matrix metallopeptidase 3 (MMP-3) in the synovial fluid. Compared to the HA group, the PT group, PRP group, and PRP combined with PT (PRP + PT) group all showed reduced VAS and WOMAC scores, increased JOA scores, decreased joint effusion, synovial membrane thickness, and articular cartilage thickness in the knee joint. Additionally, levels of IL-1β and MMP-3 in the synovial fluid decreased, while TGF-β1 levels increased (P < 0.05). Compared with the PT group, the VAS and WOMAC scores of the knee joint in the PRP group decreased, JOA scores increased, joint effusion, synovial thickness, and articular cartilage thickness decreased, but there was no statistically significant difference (P > 0.05), and the PRP + PT group showed decreased VAS and WOMAC scores, increased JOA scores, reduced joint effusion, synovial membrane thickness, and articular cartilage thickness in the knee joint. Moreover, levels of IL-1β and MMP-3 in the synovial fluid decreased, while TGF-β1 levels increased (P < 0.05). No severe adverse reactions were observed in any of the four groups, but the pain rate in the PRP + TP group was significantly lower than PT group, PRP group, and PRP + PT group (P < 0.05). The efficacy of intra-articular injection of PRP combined with exercise therapy in the treatment of knee osteoarthritis is superior to that of single interventions such as simple interventions of HA, PRP injection, and PT. Furthermore, intra-articular injection of PRP combined with exercise therapy demonstrates enhanced effectiveness in improving the inflammatory levels associated with knee osteoarthritis and facilitating the rehabilitation process.

Network and Experimental Pharmacology on Mechanism of Yixintai Regulates the TMAO/PKC/NF-κB Signaling Pathway in Treating Heart Failure.

This study aims to explore the mechanism of action of Yixintai in treating chronic ischemic heart failure by combining bioinformatics and experimental validation. Five potential drugs for treating heart failure were obtained from Yixintai (YXT) through early mass spectrometry detection. The targets of YXT for treating heart failure were obtained by a search of online databases. Gene ontology (GO) functional enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were conducted on the common targets using the DAVID database. A rat heart failure model was established by ligating the anterior descending branch of the left coronary artery. A small animal color Doppler ultrasound imaging system detected cardiac function indicators. Hematoxylin-eosin (HE), Masson's, and electron microscopy were used to observe the pathological morphology of the myocardium in rats with heart failure. The network pharmacology analysis results were validated by ELISA, qPCR, and Western blotting. A total of 107 effective targets were obtained by combining compound targets and eliminating duplicate values. PPI analysis showed that inflammation-related proteins (TNF and IL1B) were key targets for treating heart failure, and KEGG enrichment suggested that NF-κB signaling pathway was a key pathway for YXT treatment of heart failure. Animal model validation results indicated the following: YXT can significantly reduce the content of intestinal microbiota metabolites such as trimethylamine oxide (TMAO) and improve heart failure by improving the EF and FS values of heart ultrasound in rats and reducing the levels of serum NT-proBNP, ANP, and BNP to improve heart failure. Together, YXT can inhibit cardiac muscle hypertrophy and fibrosis in rats and improve myocardial ultrastructure and serum IL-1β, IL-6, and TNF-α levels. These effects are achieved by inhibiting the expressions of NF-κB and PKC. YXT regulates the TMAO/PKC/NF-κB signaling pathway in heart failure.

High-resolution ultrasound in the evaluation of musculoskeletal infections.

Soft tissue and osseous musculoskeletal infections are common but can be difficult to diagnose clinically. Signs, symptoms, and physical examination findings may be nonspecific, and laboratory values can be inconclusive. The extent of disease may also be underestimated on physical examination. Soft tissue infections most commonly occur secondary to direct inoculation from broken skin and less frequently due to the seeding of the soft tissues from hematogenous spread, while osseous infections are more commonly due to hematogenous seeding. Infections may also be iatrogenic, following surgery or other procedural interventions. High-resolution ultrasound is an extremely useful imaging modality in the evaluation of musculoskeletal soft tissue and joint infections, and can occasionally be used to evaluate osseous infections as well. Ultrasound can aid in the early diagnosis of musculoskeletal infections, allowing for prompt treatment, decreased risk of complications, and treatment optimization. Ultrasound is sensitive and specific in evaluating soft tissue edema and hyperemia; soft tissue abscesses; joint, bursal and tendon sheath effusions/synovitis; and subperiosteal abscesses. This article describes the typical high-resolution grayscale as well as color and power Doppler ultrasound imaging findings of soft tissue infections including cellulitis, fasciitis, necrotizing deep soft tissue infection, pyomyositis, soft tissue abscess, infectious bursitis, and infectious tenosynovitis. Ultrasound findings of septic arthritis as well as osteomyelitis, such as subperiosteal spread of infection (subperiosteal abscess). are also reviewed. In addition, the use of ultrasound to guide fluid and tissue sampling is discussed.

Application of ultrasound-based radiomics models of breast masses to predict invasive components of encapsulated papillary carcinoma.

Axillary lymph node (ALN) metastasis is seen in encapsulated papillary carcinoma (EPC), mostly with an invasive component (INV). Radiomics can offer more information beyond subjective grayscale and color Doppler ultrasound (US) image interpretation. This study aimed to develop radiomics models for predicting an INV of EPC in the breast based on US images. This study retrospectively enrolled 105 patients (107 masses) with a pathological diagnosis of EPC from January 2016 to April 2021, and all masses had preoperative US images. Of the 107 masses, 64 were randomized to a training set and 43 to a test set. US and clinical features were analyzed to identify features associated with INVs. Then, based on the manually segmented US images to obtain radiomics features, the models to predict INVs were built with 5 ensemble machine learning classifiers. We estimated the performance of the predictive models using accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, and specificity. The mean age was 63.71 years (range, 31 to 85 years); the mean size of tumors was 23.40 mm (range, 9 to 120 mm). Among all clinical and US features, only shape was statistically different between EPC with INVs and those without (P<0.05). In this study, the models based on Random Under Sampling (RUS) Boost, Random Forest, XGBoost, AdaBoost, and Easy Ensemble methods had good performance, among which RUS Boost had the best performance with an AUC of 0.875 [95% confidence interval (CI): 0.750-0.974] in the test set. Radiomics prediction models were effective in predicting the INV of EPC, whereas clinical and US features demonstrated relatively decreased predictive utility.

PLACENTA ACCRETA SPECTRUM DISORDERS

Placenta accreta spectrum is a rare pathology, but there is an increase in the incidence of placenta accreta. In the accreta spectrum, abnormal placental adherence to the myometrium stems in part from partial or total absence of the decidua basalis and imperfect development of the fibrinoid or Nitabuch layer. This results in the absence of a physiological line of cleavage, so resulting in failure of separation of the placenta causing significant hemorrhage. This leads to maternal morbidity and mortality. 12 patients of placenta accreta managed at Government Medical College and Rajindra Hospital, Patiala, over 1 year (December 2021–November 2022) were reported. All cases had a histopathologically proven diagnosis of placenta accreta. The major risk factors identified were placenta previa, previous cesarean section, multiparity, advanced maternal age, previous uterine surgeries, or curettage. Ultrasound (USG) color Doppler and magnetic resonance imaging allowed us to strongly suspect the presence of placenta accreta in a pregnant woman with risk factors. Placenta accreta spectrum is associated with life-threatening hemorrhage, urinary bladder injury, intensive care unit admission, massive blood transfusion, and maternal death. The course of action in each and every patient varies according to whether the diagnosis of the placenta is made antenatal or during C-section and the amount of blood loss.

Ultrasound and MRI of the foot in children and adolescents newly diagnosed with juvenile idiopathic arthritis.

To evaluate the spectrum of inflammatory features in foot joints which may be detected on routinely performed ultrasound (US) and magnetic resonance imaging (MRI) in children newly diagnosed with juvenile idiopathic arthritis (JIA). Two groups of children hospitalized in a reference center for rheumatology, newly diagnosed with JIA and suspected of foot involvement in the course of JIA were included in this retrospective study. In the first group of 47 patients aged 1-18 years, the imaging was restricted to US. The second group of 22 patients aged 5-18 years underwent only non-contrast MRI of the foot. The most frequent pathologies seen on US included effusion and synovial thickening in the first metatarsophalangeal joint (MTP1), followed by the tibiotalar joint. Synovial hyperemia on color Doppler US images was present most frequently in the Chopart and midtarsal joints (64%; 7/11 cases), followed by the tibiotalar joint (45%; 5/11), and MTP2-5 joint synovitis (40%; 4/10). Grade 3 hyperemia was present only in four cases; grades 1 and 2 were detected in the majority of cases. On MRI, bone marrow edema was the most frequent pathology, found mostly in the calcaneus (45%; 10/22 cases), while alterations of the forefoot were rare. No cases of bursitis, enthesitis, cysts, erosions or ankylosis were diagnosed in either of the analyzed groups. Routine US of the foot is recommended for early detection of its involvement in JIA in daily clinical practice. Although MRI can identify features of various JIA stages, it is particularly useful for the detection of bone marrow alterations.

Diagnosis and Treatment of Double Thyroglossal Duct Cyst.

This retrospective study aimed to investigate clinical diagnostic and management characteristics of double thyroglossal duct cyst (TDC) cases. Seventy-eight patients diagnosed with TDCs who were admitted to the inpatient ward of the Department of Otolaryngology, Dalian Central Municipal Hospital from June 2008 to October 2021 were included in the study. Ultimately, 67 of these patients were diagnosed with single TDCs and 11 patients with double TDCs. Each patient underwent computed tomography and color doppler ultrasound imaging of their neck masses, thyroid color doppler ultrasound imaging, and surgical cyst removal through the classic Sistrunk procedure. All surgically excised specimens were sent to the pathology lab for examination and were confirmed to contain TDCs. Two of the 67 patients with single TDCs experienced postoperative complications related to infections within the operative area, whereas no patients with double TDCs experienced postoperative infection, excessive bleeding, or other surgical complications. All cases were followed up for 1 to 3 years after surgery with no cyst recurrence observed. Double TDCs may present on physical examination as unilateral neck masses that interfere with tongue extension and movement and swallowing that can be identified using imaging methods. Correct clinical diagnosis and complete surgical removal of cysts are key measures for ensuring successful treatment outcomes for patients with TDCs.

Reconstruction of large-area wounds in limbs using two flow-through anterolateral thigh perforator flaps

IntroductionLimb salvage in large wounds is difficult because the disrupted blood supply does not support a flap. This study evaluated the clinical efficacy of using two flow-through anterolateral thigh perforator flaps for reconstructing large-area limb wounds. MethodsThis retrospective study included 45 patients who underwent reconstruction of large limb wounds using two flow-through anterolateral thigh perforator flaps at Ruihua Hospital between January 2015 and December 2020. Wound areas ranged from 15 cm × 13 cm to 46 cm × 18 cm. Single flap areas ranged from 16 cm × 8 cm to 46 cm × 9 cm. Blood supply locations were identified using color Doppler ultrasound or digital subtraction angiography (DSA) images. Primary outcomes were flap survival and complications at recipient or donor sites during at least 6-months follow-up. ResultsThe overall flap survival rate was 97% (87/90). All donor sites healed by first intention. Three cases developed vascular crises, which were alleviated by reoperation. One case had flexor contracture in left toes, relieved by cutting flexor tendons; 13 cases had flap bloat, relieved by flap thinning at 6 months. All cases showed properly healed wounds and functional reconstruction. ConclusionsReconstruction of large-area limb wounds using two flow-through anterolateral thigh perforator flaps provides safe and satisfactory effects without donor-site morbidity, and with proper healing and restored function.

Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study.

Early diagnosis of breast cancer has always been a difficult clinical challenge. We developed a deep-learning model EDL-BC to discriminate early breast cancer with ultrasound (US) benign findings. This study aimed to investigate how the EDL-BC model could help radiologists improve the detection rate of early breast cancer while reducing misdiagnosis. In this retrospective, multicentre cohort study, we developed an ensemble deep learning model called EDL-BC based on deep convolutional neural networks. The EDL-BC model was trained and internally validated on B-mode and color Doppler US image of 7955 lesions from 6795 patients between January 1, 2015 and December 31, 2021 in the First Affiliated Hospital of Army Medical University (SW), Chongqing, China. The model was assessed by internal and external validations, and outperformed radiologists. The model performance was validated in two independent external validation cohorts included 448 lesions from 391 patients between January 1 to December 31, 2021 in the Tangshan People's Hospital (TS), Chongqing, China, and 245 lesions from 235 patients between January 1 to December 31, 2021 in the Dazu People's Hospital (DZ), Chongqing, China. All lesions in the training and total validation cohort were US benign findings during screening and biopsy-confirmed malignant, benign, and benign with 3-year follow-up records. Six radiologists performed the clinical diagnostic performance of EDL-BC, and six radiologists independently reviewed the retrospective datasets on a web-based rating platform. The area under the receiver operating characteristic curve (AUC) of the internal validation cohort and two independent external validation cohorts for EDL-BC was 0.950 (95% confidence interval [CI]: 0.909-0.969), 0.956 (95% [CI]: 0.939-0.971), and 0.907 (95% [CI]: 0.877-0.938), respectively. The sensitivity values were 94.4% (95% [CI]: 72.7%-99.9%), 100% (95% [CI]: 69.2%-100%), and 80% (95% [CI]: 28.4%-99.5%), respectively, at 0.76. The AUC for accurate diagnosis of EDL-BC (0.945 [95% [CI]: 0.933-0.965]) and radiologists with artificial intelligence (AI) assistance (0.899 [95% [CI]: 0.883-0.913]) was significantly higher than that of the radiologists without AI assistance (0.716 [95% [CI]: 0.693-0.738]; p<0.0001). Furthermore, there were no significant differences between the EDL-BC model and radiologists with AI assistance (p=0.099). EDL-BC can identify subtle but informative elements on US images of breast lesions and can significantly improve radiologists' diagnostic performance for identifying patients with early breast cancer and benefiting the clinical practice. The National Key R&D Program of China.

Role of Multiparametric Ultrasound in Evaluating Hepatic Acute Graft-versus-Host Disease: An Animal Study.

Hepatic acute graft-versus-host disease (aGVHD) is a serious complication of allogeneic hematopoietic stem cell transplantation (allo-HSCT) and is one of the leading causes of early non-recurrent death. The current diagnosis is based mainly based on clinical diagnosis, and there is a lack of non-invasive quantitative diagnosis methods. We propose a multiparametric ultrasound (MPUS) imaging method and explore its effectiveness in evaluating hepatic aGVHD. In this study, 48 female Wistar rats were used as receptors and 12 male Fischer 344 rats were used as donors for allo-HSCT to establish aGVHD models. After transplantation, 8 rats were randomly selected for ultrasonic examination weekly, including color Doppler ultrasound, contrast-enhanced ultrasound (CEUS) and shear wave dispersion (SWD) imaging. The values of nine ultrasonic parameters were obtained. Hepatic aGVHD was subsequently diagnosed by histopathological analysis. A classification model for predicting hepatic aGVHD was established using principal component analysis and support vector machines. According to the pathological results, the transplanted rats were categorized into the hepatic aGVHD and non-GVHD (nGVHD) groups. All parameters obtained by MPUS differed statistically between the two groups. The first three contributing percentages of principal component analysis results were resistivity index, peak intensity and shear wave dispersion slope, respectively. The accuracy of classifying aGVHD and nGVHD using support vector machines reached 100%. The accuracy of the multiparameter classifier was significantly higher than that of the single parameter. The MPUS imaging method has proven to be useful in detecting hepatic aGVHD.

Review: Current status of corpus luteum assessment by Doppler ultrasonography to diagnose non-pregnancy and select embryo recipients in cattle.

A number of potentials uses of Doppler ultrasonography have been explored in the last decades, both as research tools in reproductive physiology investigations and for the reproductive management of farm animals. The objective of this review was to address some of the recent strategies developed in fixed-time reproductive programs and resynchronization of ovulation in cattle, based on the evaluation of corpus luteum function by color-Doppler ultrasound imaging. Recent studies in dairy and beef cattle pointed out to a high accuracy when Doppler ultrasonography is used to assess the functionality of the corpus luteum and identify non-pregnant females at 20-24days after breeding. Therefore, super-early resynchronization programs starting in the second week after timed-artificial insemination or embryo transfer have been developed and are being implemented in commercial assisted reproduction programs; thus, anticipating conception with proven semen or genetically superior embryos. In addition, assessment of corpus luteum blood perfusion can be used for identifying high fertility embryo recipients in fixed-time embryo transfer programs.

The feasibility of a novel computer-aided classification system for the characterisation and diagnosis of breast masses on ultrasound: a single-centre preliminary test study

To introduce a novel computer-aided classification (CAC) system and investigate the feasibility of characterising and diagnosing breast masses on ultrasound (US). A total of 246 breast masses were included. US features and the final assessment categories of the breast masses were analysed by a radiologist and the CAC system according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon. The CAC system evaluated the BI-RADS assessment from the fusion of multi-view and colour Doppler US images without (SmartBreast) or with combining clinical variables (m-CAC system). The diagnostic performance and agreement of US characteristics between the radiologist and the CAC system were compared. The agreement between the radiologist and the CAC system was substantial for mass shape (κ=0.673), orientation (κ=0.682), margin (κ=0.622), posterior features (κ=0.629), calcifications in a mass (κ=0.709) and vascularity (κ=0.745), fair for echo pattern (κ=0.379), and moderate for BI-RADS assessment (κ=0.575). With BI-RADS 4a as the cut-off value, the specificity (52.5% versus 25%, p<0.0001) and accuracy (73.98% versus 62.6%, p=0.0002) of the m-CAC system were improved without significant loss of sensitivity (94.44% versus 98.41%, p=0.1250) compared with the SmartBreast. The m-CAC system showed similar specificity (52.5% versus 45.83%, p=0.2430) and accuracy (73.98% versus 73.58%, p=1.0000) as the radiologist, but a lower sensitivity (94.44% versus 100%, p=0.0156). The CAC system showed an acceptable agreement with the radiologist for characterisation of breast lesions. It has the potential to mimic the decision-making behaviour of radiologists for the classification of breast lesions.

Stroke risk prediction by color Doppler ultrasound of carotid artery-based deep learning using Inception V3 and VGG-16.

This study aims to automatically classify color Doppler images into two categories for stroke risk prediction based on the carotid plaque. The first category is high-risk carotid vulnerable plaque, and the second is stable carotid plaque. In this research study, we used a deep learning framework based on transfer learning to classify color Doppler images into two categories: one is high-risk carotid vulnerable plaque, and the other is stable carotid plaque. The data were collected from the Second Affiliated Hospital of Fujian Medical University, including stable and vulnerable cases. A total of 87 patients with risk factors for atherosclerosis in our hospital were selected. We used 230 color Doppler ultrasound images for each category and further divided those into the training set and test set in a ratio of 70 and 30%, respectively. We have implemented Inception V3 and VGG-16 pre-trained models for this classification task. Using the proposed framework, we implemented two transfer deep learning models: Inception V3 and VGG-16. We achieved the highest accuracy of 93.81% by using fine-tuned and adjusted hyperparameters according to our classification problem. In this research, we classified color Doppler ultrasound images into high-risk carotid vulnerable and stable carotid plaques. We fine-tuned pre-trained deep learning models to classify color Doppler ultrasound images according to our dataset. Our suggested framework helps prevent incorrect diagnoses caused by low image quality and individual experience, among other factors.