Evidence
Am J Orthod Dentofacial Orthop. 2024 May 23:S0889-5406(24)00134-3. doi: 10.1016/j.ajodo.2024.03.011. Online ahead of print.
ABSTRACT
INTRODUCTION: This study aimed to determine a measurement plane that could represent the maximum cross-sectional area (MCSA) of masseter muscle using an artificial intelligence model for patients with skeletal Class III malocclusion.
METHODS: The study included 197 patients, divided into subgroups according to sex, mandibular symmetry, and mandibular plane angle. The volume, MCSA, and the cross-sectional area (CSA) at different levels were calculated automatically. The vertical distance between MCSA and mandibular foramen, along with the ratio of the masseter CSA at different levels to the MCSA (R), were also calculated.
RESULTS: The MCSA and volume showed a strong correlation in the total sample and each subgroup (P <0.001). The correlation between the CSA at each level and MCSA was statistically significant (P <0.001). The peak of the r and the correlation coefficient between the CSA at different levels and MCSA were mostly present 5-10 mm above the mandibular foramen for the total sample and the subgroups. The mean of RA5 to RA10 was >0.93, whereas the corresponding correlation coefficient was >0.96, both for the entire sample and for the subgroups.
CONCLUSIONS: MCSA could be used as an indicator for masseter muscle size. For patients with skeletal Class III malocclusion, the CSA 5-10 mm above the mandibular foramen, parallel to the Frankfort plane, could be used to estimate the masseter muscle MCSA.
PMID:38795105 | DOI:10.1016/j.ajodo.2024.03.011
Estimated reading time: 4 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
Cool Evidence: Engaging Young People and Students in Real-World Evidence
Real-Time Evidence Search [Psychiatry]
AI Research
Measurement plane of the cross-sectional area of the masseter muscle in patients with skeletal Class III malocclusion: An artificial intelligence model
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Mandibular torus thickness associated with age: Postmortem computed tomographic analysis
- Bichectomy Surgery and EMG Masticatory Muscles Function in Adult Women: A Longitudinal Study
- Automatic three-dimensional facial symmetry reference plane construction based on facial planar reflective symmetry net
- Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence
- Association between the skeletal muscle mass to visceral fat area ratio and metabolic dysfunction-associated fatty liver disease: A cross-sectional study of NHANES 2017-2018
- Frontal facial analysis of female celebrity attractiveness standards through artificial intelligence
- Does crown, root, and bone visualization in a clear aligner virtual setup impact treatment decisions?
- Blood flow restriction Exercise in the perioperative setting to Prevent loss of muscle mass in patients with pancreatic, biliary tract, and liver cancer: study protocol for the PREV-Ex randomized controlled trial
- Blood flow restriction Exercise in the perioperative setting to Prevent loss of muscle mass in patients with pancreatic, biliary tract, and liver cancer: study protocol for the PREV-Ex randomized controlled trial
- PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images
- Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters
- Body composition assessment by artificial intelligence can be a predictive tool for short-term postoperative complications in Hartmann's reversals
- The relationship between the structural changes in the cervical spinal cord and sensorimotor function of children with thoracolumbar spinal cord injury (TLSCI)
- Diastolic Filling in Patients After Heart Transplantation Is Impaired Due to an Altered Geometrical Relationship Between the Left Atrium and Ventricle
- Muscle fibre morphometric analysis (MusMA) correlates with muscle function and cardiovascular risk prognosis
- MyoVision-US: an Artificial Intelligence-Powered Software for Automated Analysis of Skeletal Muscle Ultrasonography
- Strut and radio-morphometric analysis of mandibular trabecular structure in pre-and post-menopausal women to aid in the diagnosis of osteoporosis
- Delineating the contribution of ageing and physical activity to changes in mitochondrial characteristics across the lifespan
- Longitudinal assessment of interstitial lung abnormalities on CT in patients with COPD using artificial intelligence-based segmentation: a prospective observational study
- Elevated thyroid stimulating hormone and metabolic syndrome risk in patients with first-episode and drug-naïve major depressive disorder: a large-scale cross-sectional study
- Screening the General Population for Non-Alcoholic Fatty Liver Disease: Model Development and Validation
- Deep Learning-Based Facial and Skeletal Transformations for Surgical Planning
- Inverse kinematic total knee arthroplasty using conventional instrumentation restores constitutional coronal alignment
- Mid-arm muscle circumference cutoff points in patients with cirrhosis: Low muscle mass related to malnutrition predicts mortality
- Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson Disease
- Characteristics of nuclear architectural abnormalities of myotubes differentiated from LmnaH222P/H222P skeletal muscle cells
- Associations between low-moderate prenatal alcohol exposure and brain development in childhood
- Muscle Quality as a Potential Diagnostic Marker of Advanced Liver Fibrosis in Patients with Non-alcoholic Fatty Liver Disease
- Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension
- Use of Artificial Intelligence Chatbots in Interpretation of Pathology Reports
- Evaluation of the Rennes Universal Measurement Method (RUMM), an artificial intelligence application for hand joint angle assessment
- Perceptions and Knowledge of Undergraduate Dental Students about Artificial Intelligence in Dental Schools: A Cross-sectional Study
- Deep Learning-based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy
- An Explainable Artificial Intelligence Model to Predict Malignant Cerebral Edema after Acute Anterior Circulating Large Hemisphere Infarction
- Development of an artificial intelligence system to improve cancer clinical trial eligibility screening
- Associations Between Cognitive Function and Muscle Quality Among Community-Dwelling Older Adults: A Cross-Sectional Study
- Predicting response to neoadjuvant chemotherapy for colorectal liver metastasis using deep learning on prechemotherapy cross-sectional imaging
- Development of automated neural network prediction for echocardiographic left ventricular ejection fraction
- Drp1 controls complex II assembly and skeletal muscle metabolism by Sdhaf2 action on mitochondria
- Speeding Up and Improving Image Quality in Glioblastoma MRI Protocol by Deep Learning Image Reconstruction
- A modified rehabilitation paradigm bilaterally increased rat extensor digitorum communis muscle size but did not improve forelimb function after stroke
- Significance of serum ferritin and De Ritis ratio in non-alcoholic fatty liver disease as diagnostic markers
- Reduced exercise capacity occurs before intrinsic skeletal muscle dysfunction in experimental rat models of pulmonary hypertension
- Thorax computed tomography (CTX) guided ground truth annotation of CHEST radiographs (CXR) for improved classification and detection of COVID-19
- Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross-sectional study
- Generative artificial intelligence in surgery
- Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis
- Impact of PET Reconstruction on Amyloid-β Quantitation in Cross-Sectional and Longitudinal Analyses
- Coping styles do not interact with the association between childhood trauma history and the immune-inflammatory phenotype of schizophrenia: Findings from a cross-sectional study
- Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter study
- A randomized controlled intervention trial to study the effect of a personalized lifestyle program on cancer-related fatigue among colorectal cancer survivors: protocol for the SoFiT study
- Association between peripheral plasma cytokine levels and suicidal ideation in first-episode, drug-naive major depressive disorder
- Automated CT Analysis of Body Composition as a Frailty Biomarker in Abdominal Surgery
- Development and validation of a nomogram for predicting depressive symptoms in dentistry patients: A cross-sectional study
- Utilization of Artificial Intelligence in Minimally Invasive Right Adrenalectomy: Recognition of Anatomical Landmarks with Deep Learning
- Community Care Needs of Highly Complex Chronic Patients: An Epidemiological Study in a Healthcare Area
- Adsorption simulation of 2,4-D pesticide on novel zinc-based 2-amino-4-(1H-1,2,4-triazole-4-yl)benzoic acid coordination complexes using machine learning approach
- Management of Maxillofacial Trauma in Pregnant Women
- Opportunistic screening for long-term muscle wasting in critically ill patients: insights from an acute pancreatitis cohort
- A gated recurrent unit model based on ultrasound images of dynamic tongue movement for determining the severity of obstructive sleep apnea
- Prediction of naloxone dose in opioids toxicity based on machine learning techniques (artificial intelligence)
- Prediction of naloxone dose in opioids toxicity based on machine learning techniques (artificial intelligence)
- Effect of preparation design and endodontic access on fracture resistance of zirconia overlays in mandibular molars: An in vitro study
- Prediction of Visual Outcome After Rhegmatogenous Retinal Detachment Surgery Using Artificial Intelligence Techniques
Evidence Blueprint
Measurement plane of the cross-sectional area of the masseter muscle in patients with skeletal Class III malocclusion: An artificial intelligence model
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Measurement plane of the cross-sectional area of the masseter muscle in patients with skeletal Class III malocclusion: An artificial intelligence model
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Using magnetic resonance imaging to measure head muscles: An innovative method to opportunistically determine muscle mass and detect sarcopenia
- Hip thrust and back squat training elicit similar gluteus muscle hypertrophy and transfer similarly to the deadlift
- Mandibular torus thickness associated with age: Postmortem computed tomographic analysis
- Bichectomy Surgery and EMG Masticatory Muscles Function in Adult Women: A Longitudinal Study
- Automatic three-dimensional facial symmetry reference plane construction based on facial planar reflective symmetry net
- Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence
- Association between the skeletal muscle mass to visceral fat area ratio and metabolic dysfunction-associated fatty liver disease: A cross-sectional study of NHANES 2017-2018
- Frontal facial analysis of female celebrity attractiveness standards through artificial intelligence
- Conservative management of mandibular fractures in pediatric patients during the growing phase with splint fiber and ligature arch wire
- Does crown, root, and bone visualization in a clear aligner virtual setup impact treatment decisions?
- Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
- Enlarged cross-sectional area of the left vagus nerve in patients with major depressive disorder
- In vivo heat production dynamics during a contraction-relaxation cycle in rat single skeletal muscle fibers
- DBC1 maintains skeletal muscle integrity by enhancing myogenesis and preventing myofibre wasting
- Blood flow restriction Exercise in the perioperative setting to Prevent loss of muscle mass in patients with pancreatic, biliary tract, and liver cancer: study protocol for the PREV-Ex randomized controlled trial
- Blood flow restriction Exercise in the perioperative setting to Prevent loss of muscle mass in patients with pancreatic, biliary tract, and liver cancer: study protocol for the PREV-Ex randomized controlled trial
- PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images
- Sex- and reproductive status-specific relationships between body composition and non-alcoholic fatty liver disease
- Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters
- First UK spine fracture patients identified by NHS-X and Nanox.AI Artificial Intelligence research study
- Nystagmus Associated With the Absence of MYOD Expression Across the Lifespan in Extraocular and Limb Muscles
- Body composition assessment by artificial intelligence can be a predictive tool for short-term postoperative complications in Hartmann's reversals
- The relationship between the structural changes in the cervical spinal cord and sensorimotor function of children with thoracolumbar spinal cord injury (TLSCI)
- Diastolic Filling in Patients After Heart Transplantation Is Impaired Due to an Altered Geometrical Relationship Between the Left Atrium and Ventricle
- Muscle fibre morphometric analysis (MusMA) correlates with muscle function and cardiovascular risk prognosis
- Glucose turnover at whole-body and skeletal muscle level in response to parenteral nutrition in male patients with alcoholic liver cirrhosis
- Glucose turnover at whole-body and skeletal muscle level in response to parenteral nutrition in male patients with alcoholic liver cirrhosis
- MyoVision-US: an Artificial Intelligence-Powered Software for Automated Analysis of Skeletal Muscle Ultrasonography
- Skeletal muscle protein turnover responses to parenteral nutrition in patients with alcoholic liver cirrhosis and sarcopenia
- Child sexual abuse, mental health, and legislation in India and Thailand: A cross-country comparison
- Strut and radio-morphometric analysis of mandibular trabecular structure in pre-and post-menopausal women to aid in the diagnosis of osteoporosis
- Delineating the contribution of ageing and physical activity to changes in mitochondrial characteristics across the lifespan
- Association between telomere length and neuropsychological function at 4-5 years in children from the INMA project: a cross-sectional study
- Longitudinal assessment of interstitial lung abnormalities on CT in patients with COPD using artificial intelligence-based segmentation: a prospective observational study
- Elevated thyroid stimulating hormone and metabolic syndrome risk in patients with first-episode and drug-naïve major depressive disorder: a large-scale cross-sectional study
- Screening the General Population for Non-Alcoholic Fatty Liver Disease: Model Development and Validation
- Multi-level profiling unravels mitochondrial dysfunction in myotonic dystrophy type 2
- Deep Learning-Based Facial and Skeletal Transformations for Surgical Planning
- Skeletal Muscle Consequences of Phosphatidylethanolamine Synthesis Deficiency
- Inverse kinematic total knee arthroplasty using conventional instrumentation restores constitutional coronal alignment
- Plasma levels of hydrogen sulfide and homocysteine correlate with the efficacy of antidepressant agents and serve as potential diagnostic and therapeutic markers
- Mayo normative studies: regression-based normative data for ages 30-91 years with a focus on the Boston Naming Test, Trail Making Test and Category Fluency
- Mid-arm muscle circumference cutoff points in patients with cirrhosis: Low muscle mass related to malnutrition predicts mortality
- Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson Disease
- Femora of Women with Premature Ovarian Insufficiency (POI) Exhibit Reduced Strength and Misalignment with the Transmitted Vertical Forces from the Upper Body
- Characteristics of nuclear architectural abnormalities of myotubes differentiated from LmnaH222P/H222P skeletal muscle cells
- Relationship between falls and the use of hypnotics, antidepressants, antipsychotics, and anxiolytics in patients with rheumatoid arthritis: A cross-sectional study
- Obesity worsens mitochondrial quality control and does not protect against skeletal muscle wasting in murine cancer cachexia
- Associations between low-moderate prenatal alcohol exposure and brain development in childhood
- Predictive value of foramen ovale size on pain recurrence after percutaneous balloon compression
- Muscle Quality as a Potential Diagnostic Marker of Advanced Liver Fibrosis in Patients with Non-alcoholic Fatty Liver Disease
- Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension
- The relationship between serum prolactin levels and cognitive function in drug-naïve schizophrenia patients: a cross-sectional study
- Non-alcoholic fatty liver disease risk prediction model and health management strategies for older Chinese adults: a cross-sectional study
- Use of Artificial Intelligence Chatbots in Interpretation of Pathology Reports
- Ablation of the carboxy-terminal end of MAMDC2 causes a distinct muscular dystrophy
- Navigating New Realities in Aging Care as Artificial Intelligence Enters Clinical Practice
- Evaluation of the Rennes Universal Measurement Method (RUMM), an artificial intelligence application for hand joint angle assessment
- Sizes and shapes of perivascular spaces surrounding murine pial arteries
- Perceptions and Knowledge of Undergraduate Dental Students about Artificial Intelligence in Dental Schools: A Cross-sectional Study
- Deep Learning-based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy
- An Explainable Artificial Intelligence Model to Predict Malignant Cerebral Edema after Acute Anterior Circulating Large Hemisphere Infarction
- Development of an artificial intelligence system to improve cancer clinical trial eligibility screening
- Myosteatosis for Early Detection of Muscle Disorder in Patients With Liver Cirrhosis