Comparison of diagnostic accuracy of point-of-care ultrasonography and X-ray of bony injuries of the knee

Kozacı, Nalan; Avcı, Mustafa; Yüksel, Serkan; Dönertaş, Eda; Karaca, Adeviye; Gonullu, Gizem; Etli, Ibrahim

doi:10.1007/s00068-022-01883-5

Cited by 3 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, bedside ultrasonography (US) has been increasingly performed to investigate patients with suspected soft tissue or bone injuries due to its accuracy and diagnostic value in ED settings [ 10 , 11 ]. Since knee structures are superficial, they are easily and quickly assessed with US [ 2 , 12 , 13 ], which is a noninvasive, inexpensive, dynamic, readily available, and real-time modality [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

The Predictive Value of Point-of-care Ultrasonography versus MRI in Assessing Medial Meniscal Tears in Patients with Acute Knee Injury

Ahmadi,

Motififard,

Heydari

et al. 2024

Clin Exp Emerg Med

View full text Add to dashboard Cite

Objective Musculoskeletal ultrasound is increasingly used as the modality of choice in diagnosing many medical situations. The present study aimed to compare the accuracy of point-of-care ultrasonography (POCUS) and magnetic resonance imaging (MRI) to detect acute medial meniscus tears in knee. MethodsThe prospective study was conducted on patients with suspected medial meniscus tears in knee. in the emergency department. In the absence of a knee fracture on x-ray, POCUS on the knee was performed. All patients underwent POCUS and MRI of the knee followed by arthroscopy. POCUS findings were then compared to MRI findings to diagnose medial meniscus tears.Results A final total of 157 patients with a mean age of 25.04±7.41 years was included. Out of 157 patients, 94 (59.9%) were male. Medial meniscus tears were detected in 89 patients (56.7%) using arthroscopy as the gold standard. The sensitivity, specificity, positive and negative predictive values, and accuracy of POCUS to detect medial meniscus tears were 88.8% (95% confidence interval [CI], 80.3%-94.5%), 89.7% (95% CI, 79.9%-95.8%), 91.9% (95% CI, 84.8%-95.8%), 85.9% (95% CI, 77.2%-91.7%), and 89.2% (95% CI, 83.3%-93.6%), respectively. The diagnostic accuracy of MRI to detect medial meniscus injury was 93.0% (95% CI, 87.8%-96.4%). ConclusionThe present study demonstrated that POCUS is an accurate and reliable diagnostic tool alternative to MRI in detecting medial meniscal tears. POCUS had acceptable sensitivity, specificity, and accuracy in detecting meniscal injuries and could be performed as an effective immediate investigation to guide further modalities in patients with acute knee trauma.

show abstract

Section: Introductionmentioning

confidence: 99%

The Predictive Value of Point-of-care Ultrasonography versus MRI in Assessing Medial Meniscal Tears in Patients with Acute Knee Injury

Ahmadi,

Motififard,

Heydari

et al. 2024

Clin Exp Emerg Med

View full text Add to dashboard Cite

show abstract

“…Nalan Kozaci et al conducted experiments comparing the accuracy of point-of-care ultrasound and X-ray examinations in diagnosing knee joint fractures. The experimental results demonstrated the effectiveness of POCUS examinations in detecting knee joint bone injuries (19). Swoop, the world's first deep learning-based MR imaging system, provides neurological imaging at the point of care (20).…”

mentioning

confidence: 99%

Lightweight semantic segmentation network for tumor cell nuclei and skin lesion

Chen,

Sun,

Duan

et al. 2024

Front. Oncol.

View full text Add to dashboard Cite

In the field of medical image segmentation, achieving fast and accurate semantic segmentation of tumor cell nuclei and skin lesions is of significant importance. However, the considerable variations in skin lesion forms and cell types pose challenges to attaining high network accuracy and robustness. Additionally, as network depth increases, the growing parameter size and computational complexity make practical implementation difficult. To address these issues, this paper proposes MD-UNet, a fast cell nucleus segmentation network that integrates Tokenized Multi-Layer Perceptron modules, attention mechanisms, and Inception structures. Firstly, tokenized MLP modules are employed to label and project convolutional features, reducing computational complexity. Secondly, the paper introduces Depthwise Attention blocks and Multi-layer Feature Extraction modules. The Depthwise Attention blocks eliminate irrelevant and noisy responses from coarse-scale extracted information, serving as alternatives to skip connections in the UNet architecture. The Multi-layer Feature Extraction modules capture a wider range of high-level and low-level semantic features during decoding and facilitate feature fusion. The proposed MD-UNet approach is evaluated on two datasets: the International Skin Imaging Collaboration (ISIC2018) dataset and the PanNuke dataset. The experimental results demonstrate that MD-UNet achieves the best performance on both datasets.

show abstract

Point of care ultrasonography in patients with haemophilia and acute haemarthrosis: a physiotherapist and sonographer inter-professional agreement pilot study

Strike

Chan

Maly

et al. 2022

The Journal of Haemophilia Practice

View full text Add to dashboard Cite

Background Haemophilia treatment centres (HTCs) around the world are increasingly adopting point-of-care ultrasonography (POCUS) for the assessment of acute haemarthrosis and to monitor joint health. POCUS is in large part administered by physiotherapists in most comprehensive care teams. Appropriate implementation of haemophilia-specific POCUS requires an educational foundation and training to ensure competency and optimal outcomes. Inter-professional agreement and evaluation of image quality are important measures of competency and acceptable use of POCUS. Aims To determine the level of agreement between physiotherapist and sonographer-performed POCUS scans and to compare the quality of the ultrasound images obtained by physiotherapists to those obtained by the sonographer. Methods This single blind, prospective, pilot study recruited patients with haemophilia A and B who presented to clinic with a suspected acute haemarthrosis of the elbow, knee, or ankle and consented to participate. POCUS scans were performed by one trained physiotherapist and one sonographer in the haemophilia ambulatory clinic at patient presentation, one-week follow-up, and two-week follow-up. The physiotherapist participated in formal training consisting of 12 hours of online didactic modules and a two-day, 12-hour practical module with instructor-led hands-on training. For the primary objective, the outcome of interest was the binary decision on the presence or absence of blood within the joint. For the secondary objective, image quality was evaluated by the radiologist post hoc and rated as optimal, acceptable, or sub-optimal. Results Thirteen participants with haemophilia consented to the study. The results indicated an excellent level of agreement (k=0.80) with an observed agreement of 91.7%, a specific positive agreement of 94.1%, and a specific negative agreement of 85.7% for the detection of blood within the joint space. The quality of the ultrasound images obtained by the physiotherapist were rated by the radiologist as optimal (84.6%) and acceptable (15.4%). None of the images were rated as sub-optimal. Conclusion Optimal image quality and a high level of agreement between the physiotherapist and sonographer-performed POCUS for the assessment of acute hemarthrosis in people with haemophilia A and B was observed. These results suggest that, with a short formal training programme, physiotherapists can be proficient in the performance, acquisition, and interpretation of POCUS scans in patients with haemophilia.

show abstract

Comparison of diagnostic accuracy of point-of-care ultrasonography and X-ray of bony injuries of the knee

Cited by 3 publications

References 17 publications

The Predictive Value of Point-of-care Ultrasonography versus MRI in Assessing Medial Meniscal Tears in Patients with Acute Knee Injury

The Predictive Value of Point-of-care Ultrasonography versus MRI in Assessing Medial Meniscal Tears in Patients with Acute Knee Injury

Lightweight semantic segmentation network for tumor cell nuclei and skin lesion

Point of care ultrasonography in patients with haemophilia and acute haemarthrosis: a physiotherapist and sonographer inter-professional agreement pilot study

Contact Info

Product

Resources

About