Publications by authors named "Natnicha Wamasing"
Objective: To quantitatively and qualitatively compare directly two types of cisternography images for diagnosing trigeminal neuralgia (TN) using 3-T magnetic resonance imaging.
Methods: This prospective study recruited 64 patients with a clinical diagnosis or suspicion of TN. Patients were examined through the three-dimensional (3D) Constructive Interference in Steady State (CISS) and Sampling Perfection with Application-optimized Contrasts using different flip angle Evolutions (SPACE) sequences.
Article Synopsis
- The study aimed to create a decision tree to detect contralateral lymph node metastasis (CLNM) in oral cancer patients using preoperative PET/CT imaging.
- Out of 140 patients, 260 lymph nodes were analyzed, leading to the discovery that five PET/CT parameters differed significantly between metastatic and non-metastatic nodes.
- The developed decision tree showed high accuracy (97.7%) and excellent sensitivity (100%) and specificity (97.6%), indicating its potential effectiveness in diagnosing CLNM in oral cancer patients.
The magnetic resonance imaging characteristics of radicular cysts and granulomas.
Dentomaxillofac Radiol
February 2023
Article Synopsis
- The study aims to differentiate between radicular cysts and granulomas using MRI characteristics due to limited existing research on this topic.
- Researchers analyzed MRI data from 27 radicular cysts and 9 granulomas, focusing on various imaging features and measuring parameters to distinguish between the two lesions.
- The findings showed significant differences in five imaging characteristics, with a notable cut-off diameter for radicular cysts, and established key MRI features that can effectively differentiate these lesions.
Objectives: This study aimed to determine the discrimination power of apparent diffusion coefficient (ADC) for cystic lesions in the jaw using MRI.
Methods: We selected 127 cystic lesions, comprising dentigerous cysts (DCs), odontogenic keratocysts (OKCs), and unicystic ameloblastomas (UABs), from our MRI database examined by 3T MRI, including diffusion-weighted imaging sequences, and we reviewed their imaging characteristics. We attempted to discriminate the three types of lesions by ADC values with receiver operator characteristic analysis; however, satisfactory results were not obtained for differentiation between DC and OKC.