2022
DOI: 10.1016/j.ocarto.2022.100319
|View full text |Cite
|
Sign up to set email alerts
|

Predicting total knee arthroplasty from ultrasonography using machine learning

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(6 citation statements)
references
References 37 publications
0
6
0
Order By: Relevance
“…[ 46 ] The assessment of femoral articular thickness has been validated against pain scores, the WOMAC scale,[ 47 , 48 ] and muscle strength. [ 49 ] The medial compartment cartilage thickness loss was found to be associated with both concurrent and subsequent radiographic progression and with concurrent symptomatic progression,[ 50 ] with recent data suggesting that ultrasonographic examination of the knee and a machine learning method may provide added value to basic clinical and demographic descriptors in predicting total knee replacement in the future,[ 51 ] both contributing significantly to the process of establishing cartilage thickness as a biomarker of clinically relevant progression of knee OA.…”
Section: Discussionmentioning
confidence: 99%
“…[ 46 ] The assessment of femoral articular thickness has been validated against pain scores, the WOMAC scale,[ 47 , 48 ] and muscle strength. [ 49 ] The medial compartment cartilage thickness loss was found to be associated with both concurrent and subsequent radiographic progression and with concurrent symptomatic progression,[ 50 ] with recent data suggesting that ultrasonographic examination of the knee and a machine learning method may provide added value to basic clinical and demographic descriptors in predicting total knee replacement in the future,[ 51 ] both contributing significantly to the process of establishing cartilage thickness as a biomarker of clinically relevant progression of knee OA.…”
Section: Discussionmentioning
confidence: 99%
“…Ultrasonography is a non-invasive diagnostic tool that uses high-frequency sound waves to produce real-time images of the knee joints and other internal structures within the body, including muscles, tendons, blood vessels, and organs [ 33 ]. It enables immediate evaluation of soft tissues, such as cartilage and menisci [ 34 , 35 ]. Differently from radiographs, it facilitates a 3D evaluation of the joint without ionizing radiation exposure [ 36 ].…”
Section: Imaging Of Knee Osteoarthritismentioning
confidence: 99%
“…Some studies have predicted KR using demographics and clinical data, highlighting the importance of the Kellgren-Lawrence grading (KLG) in disease prognosis [ 4 , 5 ]. With advancements in medical imaging analysis technology, several studies directly analysed medical images, primarily Magnetic Resonance Imaging (MRI) and X-ray, for KR prediction [ [6] , [7] , [8] , [9] , [10] , [11] , [12] ]. One study analysed the shape of MRI femur bone from the Osteoarthritis Initiative (OAI) dataset.…”
Section: Introductionmentioning
confidence: 99%