Aim And Objective: The objective of our study was to build a convolutional neural network (CNN) model and detection and classification of benign and malignant radiolucent lesions in orthopantomogram (OPG) by implementing CNN.
Method: Two basic CNN models were implemented on Anaconda with Python 3 on 64-bit, CNN-I for detection of radiolucency and CNN-II for classification of radiolucency into benign and malignant lesions. One hundred fifty eight OPG with radiolucency and 115 OPG without radiolucency was used for training and validation of CNN models. Data augmentation was performed for the training and validation dataset. The evaluation of the performance of both CNN by new data consisting (60 OPG images) 30 benign and 30 malignant lesions.
Statistical Analysis: Performed using SPSS (Statistical package for social science) 20.0 version. The descriptive statistics was performed. The Cohen kappa correlation coefficient was used for assessment of reliability of the diagnostic methods. P < .05 was considered statistically significant. Determination of sensitivity, specificity, positive and negative predictive value was also performed.
Result: CNN-I showing sensitivity for detection of the benign lesion is 76.6% and sensitivity for the malignant lesion is 63.3% with overall sensitivity is 70%. CNN-II showing sensitivity for classification of the benign lesion is 70% and for classification of the malignant lesion is 63.3% with overall classification sensitivity is 66.6%. The kappa correlation coefficient value for diagnosis made by CNN-II is 0.333 and P < .05.
Conclusion: Both CNN showed statistically significant and satisfactory results in detecting and classifying radiolucency in OPG.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4103/ijdr.ijdr_783_22 | DOI Listing |
Thyroid
January 2025
Division of Endocrinology, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
In the era of molecular testing, thyroid nodules with indeterminate cytology are increasingly being managed nonoperatively. The false-negative rates of these molecular tests, and therefore missed malignancies, are not well defined in real-world clinical practice. This retrospective study of patients undergoing fine needle aspiration (FNA) biopsy at our health system between November 2017 and March 2022 included nodules with The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) III and IV cytology and negative, currently negative, or negative but limited ThyroSeq version 3 (TSv3) results.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurosurgery, Korea University Guro Hospital, Korea University Medical College, Seoul, Korea.
Introduction: Craniopharyngiomas are challenging benign tumors arising from Rathke's pouch remnants, often requiring multidisciplinary management due to their proximity to critical neurovascular structures. This meta-analysis systematically compares conventional radiation therapy (RT) and stereotactic radiosurgery (RS) in treating residual or recurrent craniopharyngiomas.
Method: A comprehensive literature search identified 44 studies, including 46 reports, meeting inclusion criteria such as progression-free survival (PFS) and post-radiotherapy complications.
Dermatologie (Heidelb)
January 2025
MVZ Dermatohistopathologie Heidelberg, Mönchhofstr. 52, 69120, Heidelberg, Deutschland.
Background: The update of the World Health Organisation (WHO) classification of skin tumours has led to new aspects in the classification of melanocytic tumours.
Objectives: Presentation of the classification of melanocytic tumours in light of current clinical, histological and genetic data.
Materials And Methods: Review of the classification of melanocytic neoplasms in the fifth edition of the WHO classification of skin tumours, taking into account current disease concepts.
J Biophotonics
January 2025
Clinical Research Center for Respiratory Disease (Tumor) in Anhui Province, Bengbu, Anhui Province, China.
In this study, a non-invasive device based on ultraviolet differential absorption spectroscopy (UV-DOAS) technology for detecting fractional exhaled nitric oxide (FeNO)was developed and clinically validated in patients with various lung diseases. The diagnostic potential of FeNO was explored by analysing subgroups of patients with lung cancer, nodules, and other disease. The results showed that FeNO concentrations were significantly higher in patients with malignant tumours than in healthy controls (p < 0.
View Article and Find Full Text PDFVet Ital
January 2025
Grupo GINVER, Facultad de Medicina Veterinaria, Corporación Universitaria Remington, Medellín, 050010.
The bovine leukemia virus (BLV) is a pathogen of high importance for the dairy industry. Currently, twelve genotypes have been described worldwide with different pathogenicity and virulence, so it is critical to evaluate the circulating genotypes in each country/region to associate this information with risk situations. The aim of this work was to perform a phylogenetic and mutational analysis of the BLV tax gene in cows that belong to specialized dairies in the Department of Antioquia, Colombia.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!