Publications by authors named "Maryam Mehdizadeh"
Objective: The Berg Balance Scale (BBS), Performance-Oriented Mobility Assessment (POMA), and Dynamic Gait Index (DGI) are crucial standard tools used to evaluate functional balance. However, their minimal important difference (MID) threshold is yet to be established. The objective of this research was to explore the MID for BBS, POMA, and DGI in people suffering from chronic stroke.
View Article and Find Full Text PDFOCT is a widely used clinical ophthalmic imaging technique, but the presence of speckle noise can obscure important pathological features and hinder accurate segmentation. This paper presents a novel method for denoising optical coherence tomography (OCT) images using a combination of texture loss and generative adversarial networks (GANs). Previous approaches have integrated deep learning techniques, starting with denoising Convolutional Neural Networks (CNNs) that employed pixel-wise losses.
View Article and Find Full Text PDFA Deep Learning-Based System for the Assessment of Dental Caries Using Colour Dental Photographs.
Stud Health Technol Inform
January 2024
Article Synopsis
- Dental caries is the most prevalent chronic disease in children, impacting nearly half of the youth worldwide, and access to dental care in remote areas has been worsened by COVID-19.
- This study focuses on creating and validating a deep learning system to automatically screen children's dental health using color photos, aiming for low-cost remote evaluations.
- The research utilized 1,020 dental photos and achieved an accuracy rate of 79%, with the Inception-v3 deep learning model providing precision and recall rates of 95% and 75%, respectively, in distinguishing between dental caries and healthy teeth.
Background: The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide, and this issue is one of the major concerns in the pending years. T2DM causes numerous complications, including cognition, learning, and memory impairments. The positive effect of physical exercise as a popular approach has been shown in many chronic diseases.
View Article and Find Full Text PDFObjective: Pain is a common and debilitating symptom of Parkinson's disease (PD) and has no specific treatment. King's Parkinson's disease Pain Scale (KPPS) is the only specific scale for pain measurement in PD with established psychometric properties. The minimal clinically important difference (MCID) of KPPS, an important parameter for the design and interpretation of therapeutic interventions, has not yet been measured.
View Article and Find Full Text PDFEvaluation of a deep learning system for automatic detection of proximal surface dental caries on bitewing radiographs.
Oral Surg Oral Med Oral Pathol Oral Radiol
August 2022
Article Synopsis
- The study focused on using a deep learning system with convolutional neural networks (CNNs) to automatically detect dental caries in bitewing radiographs.
- A total of 2,468 images were analyzed, with 1,257 showing caries, to create a reference standard, and various metrics like recall and precision were used to evaluate the system's performance.
- The deep learning model showed strong results, achieving scores of 0.89 for recall and 0.87 for accuracy, indicating its potential effectiveness in detecting dental caries.
Background: We aimed to prepare a nanofluid, containing -MWCNTs, and investigate the antibacterial efficacy of -MWCNTs+ ciprofloxacin (cip) on by evaluating the virulence gene expression.
Methods: This study was carried out from 2019 to 2020, in the Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran. The nanofluid containing antibiotic and -MWCNTs were prepared by the ultrasonic method.
Objective: Sleep problems are nonmotor symptoms in Parkinson's disease that should be carefully evaluated for better management and treatment. Parkinson's Disease Sleep Scale (PDSS-2) is one of the most reliable tools for measuring sleep difficulties in people with Parkinson's disease. This study investigated the psychometric properties of the Persian version of PDSS-2.
View Article and Find Full Text PDFArticle Synopsis
- The study focused on developing an automated system using convolutional neural networks (CNNs) to detect and classify permanent teeth from orthopantomogram (OPG) images.
- A total of 591 dental images were annotated by qualified dentists, and a three-step CNN approach was utilized for segmentation, tooth detection, and classification into 32 categories.
- The results showed high performance metrics, with the automated system achieving an impressive recall of 0.99 for tooth detection, suggesting its potential use in dental practices and forensic applications.
Purpose: Patients with idiopathic Parkinson's disease (PD) suffer from different non-motor symptoms, including pain. The present study aimed to measure the psychometric properties of the Brief Pain Inventory (BPI) in patients with PD during ON- and OFF-states.
Methods: We recruited 460 patients with PD and 100 non-PD controls.
Introduction: Dexterity is one of the most critical upper extremity functions that may be impaired in chronic stroke survivors. This study aimed to investigate the psychometric properties of DextQ-24 in Iranian chronic stroke survivors.
Method: A total of 123 people with chronic stroke were included in the study.
Introduction: Freezing of gait, a common PD motor symptom, could increase the risk of falling. This study aimed to investigate the clinimetric attributes of the Freezing of Gait Questionnaire (FOGQ) for people with Parkinson disease in the "off" state.
Methods: A total of 115 patients with Parkinson disease (PD; mean age, 60.
Significance: Speckle noise is an inherent limitation of optical coherence tomography (OCT) images that makes clinical interpretation challenging. The recent emergence of deep learning could offer a reliable method to reduce noise in OCT images.
Aim: We sought to investigate the use of deep features (VGG) to limit the effect of blurriness and increase perceptual sharpness and to evaluate its impact on the performance of OCT image denoising (DnCNN).
Article Synopsis
- A study was conducted to compare the effectiveness of intraoral photographs with traditional visual dental exams in detecting dental caries in children aged 4 to 14 years.
- The researchers found that while caries prevalence rates from both methods were similar (30-39% for photographs vs. 42% for visual exams), the photographic method had a sensitivity of 58-80% and a very high specificity of 99.7-99.9%.
- Overall, the photographic approach proved to be a reliable alternative for caries detection, especially in younger children, with strong reliability among different reviewers assessing the photographs.
Anxiety is among the most debilitating nonmotor symptoms of Parkinson's disease (PD). This study aimed to determine how PD patients with low and high levels of anxiety (LA-PD and HA-PD, respectively) compare with age- and sex-matched controls at the level of motor control of reach-to-grasp movements during single- and dual-task conditions with varying complexity. Reach-to-grasp movement kinematics were assessed in 20 LA-PD, 20 HA-PD, and 20 sex- and age-matched healthy controls under single- as well as easy and difficult dual-task conditions.
View Article and Find Full Text PDFBackground: Pain is one of the most common non-motor symptoms in Parkinson's disease (PD). Using an appropriate and specific measuring tool would be helpful in managing the pain. King's Parkinson's disease Pain Scale (KPPS) is an instrument designed to specifically measure pain in people with PD.
View Article and Find Full Text PDFMicrovascular changes at different stages of chronic kidney disease.
J Clin Hypertens (Greenwich)
February 2021
Patients with progressing chronic kidney disease (CKD) are more likely to experience cardio- and cerebrovascular events than progressing to end-stage renal disease. The authors explored whether retinal microvascular calibers differed with the degree of renal impairment and between the standard and extended optic disk and may serve as a simple additional tool for risk stratification in this highly vulnerable patient cohort. The authors analyzed central retinal arteriolar and venular equivalent calibers (CRAE, CRVE) at different retinal zones (zone B&C) using digital retinal imaging in hypertensive patients with stage 2 (n = 66) or stage 3 CKD (n = 30).
View Article and Find Full Text PDFObjective: Neuropathic pain is a type of pain reported in people with Parkinson's disease. There are various scales to evaluate the characteristics of this kind of pain. The purpose of this study was to investigate the psychometric properties of the Neuropathic Pain Symptom Inventory (NPSI), a specific scale that measures neuropathic pain in Iranian people with Parkinson's disease.
View Article and Find Full Text PDFStargardt disease is one of the most common forms of inherited retinal disease and leads to permanent vision loss. A diagnostic feature of the disease is retinal flecks, which appear hyperautofluorescent in fundus autofluorescence (FAF) imaging. The size and number of these flecks increase with disease progression.
View Article and Find Full Text PDFPurpose: To investigate the reliability and validity of Parkinson's Disease-Cognitive Rating Scale (PD-CRS) in Iranian patients with idiopathic PD.
Methods: One hundred and eighty patients with PD and 60 age-, gender-, and educational level-matched healthy individuals participated in this study. Inter-rater and test-retest reliability of the Persian version of PD-CRS was investigated in 80 patients with PD.
Purpose: Pain is one of the nonmotor symptoms of Parkinson's disease (PD) that, in order to be better managed, requires to be evaluated. Evaluations are done using pain assessment scales such as the Short-Form McGill Pain Questionnaire-2 (SF-MPQ-2). The goal of this study was to assess the psychometric properties of SF-MPQ-2 to measure pain in people with PD.
View Article and Find Full Text PDFContext: The fatigue is reported as the most common and annoying symptom in patients with cancer, timely diagnosis, and treatment can significantly influence the treatment and rehabilitation. It is crucial to have an appropriate tool to accurately assess fatigue status.
Objectives: Our purpose was to assess psychometric properties of the Persian versions of fatigue scale by Original Scales from the viewpoint of children with cancer (Child Fatigue Scale [CFS]-24 h), their parents (Parent Fatigue Scale [PFS]-24 h), and staff (Staff Fatigue Scale FSF-24 h).
Purpose: This study aimed to investigate the ability of the Quick Dementia Rating System (QDRS) to discriminate patients with PD who have mild cognitive impairment from those without cognitive impairment and those with dementia.
Method: A total of 105 patients with PD were classified as without cognitive impairment ( = 32), with mild cognitive impairment ( = 23), and PDD ( = 50), according to their score on clinical dementia rating. Multivariate regression analysis was performed considering age, education, and disease severity as covariates and mild cognitive impairment or dementia as outcome variables.
Introduction: In the elderly, functional balance, fear of falling, and independence in daily living activities are interrelated; however, this relationship may change under the influence of drug phase and the severity of disease in individuals with idiopathic Parkinson disease. This study aimed to investigate the association of functional balance, fear of falling, and independence in the Activities of Daily Living (ADL) with the drug on- and drug off-phases.
Methods: A total of 140 patients with Parkinson disease (age: Mean±SD; 60.