Menisci, Tibial

[Effect of HBP-A on meniscal injury and pathological hypertrophy and calcification of the meniscus].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University 28446392

OBJECTIVE: To investigate the effect of HBP-A on meniscal injuries and the expressions of genes associated with pathological hypertrophy and calcification of the meniscusinduced by abnormal loading.

Animals Calcinosis Cattle Glucans Hypertrophy Menisci, Tibial Osteoarthritis, Knee Real-Time Polymerase Chain Reaction Tibial Meniscus Injuries

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The influence of the medial meniscus in different conditions on anterior tibial translation in the anterior cruciate deficient knee.

International orthopaedics 25398470

PURPOSE: The purpose of this study was the evaluation of knee laxity in the ACL-deficient knee with combined meniscal tear, meniscal suture and partial medial meniscectomy.

Adult Anterior Cruciate Ligament Injuries Biomechanical Phenomena Cadaver Female Humans Joint Instability Knee Injuries Knee Joint Male Menisci, Tibial Range of Motion, Articular Robotics Rupture Tibia Tibial Meniscus Injuries Torque

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Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

Osteoarthritis and cartilage 29526784

OBJECTIVE: To present a novel method for automated segmentation of knee menisci from MRIs. To evaluate quantitative meniscal biomarkers for osteoarthritis (OA) estimated thereof.

Cartilage, Articular Disease Progression Female Follow-Up Studies Humans Magnetic Resonance Imaging Male Menisci, Tibial Middle Aged Neural Networks, Computer Osteoarthritis, Knee Predictive Value of Tests Time Factors

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A machine learning approach to knee osteoarthritis phenotyping: data from the FNIH Biomarkers Consortium.

Osteoarthritis and cartilage 31002938

OBJECTIVE: Knee osteoarthritis (KOA) is a heterogeneous condition representing a variety of potentially distinct phenotypes. The purpose of this study was to apply innovative machine learning approaches to KOA phenotyping in order to define progressi...

Aged Biological Variation, Population Biomarkers Cartilage, Articular Collagen Type II Congresses as Topic Databases, Factual Disease Progression Female Humans Machine Learning Male Menisci, Tibial Middle Aged National Institutes of Health (U.S.) Osteoarthritis, Knee Pain Measurement Severity of Illness Index United States

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Predictive validity of radiographic signs of complete discoid lateral meniscus in children using machine learning techniques.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society 31883134

The diagnostic utility of radiographic signs of complete discoid lateral meniscus remains controversial. This study aimed to investigate the diagnostic accuracy and determine which sign is most reliably detects the presence of a complete discoid late...

Adolescent Child Female Humans Logistic Models Machine Learning Male Menisci, Tibial Retrospective Studies ROC Curve Tibial Meniscus Injuries

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Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 33714850

PURPOSE: Evaluation of a deep learning approach for the detection of meniscal tears and their characterization (presence/absence of migrated meniscal fragment).

Adult Deep Learning Humans Magnetic Resonance Imaging Menisci, Tibial Retrospective Studies Tibial Meniscus Injuries

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Age and medial compartmental OA were important predictors of the lateral compartmental OA in the discoid lateral meniscus: Analysis using machine learning approach.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA 38651559

PURPOSE: The objective of this study was to develop a machine learning model that would predict lateral compartment osteoarthritis (OA) in the discoid lateral meniscus (DLM), from which to then identify factors contributing to lateral compartment OA,...

Adult Age Factors Aged Female Humans Machine Learning Magnetic Resonance Imaging Male Menisci, Tibial Middle Aged Osteoarthritis, Knee ROC Curve Young Adult

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[Effect of HBP-A on meniscal injury and pathological hypertrophy and calcification of the meniscus].

The influence of the medial meniscus in different conditions on anterior tibial translation in the anterior cruciate deficient knee.

Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

A machine learning approach to knee osteoarthritis phenotyping: data from the FNIH Biomarkers Consortium.

Predictive validity of radiographic signs of complete discoid lateral meniscus in children using machine learning techniques.

Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation.

Age and medial compartmental OA were important predictors of the lateral compartmental OA in the discoid lateral meniscus: Analysis using machine learning approach.

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