Dataset Information

Multi-Centre Clinical Evaluation of Photothermal Radiometry and Luminescence Correlated with International Benchmarks for Caries Detection.

ABSTRACT: Introduction:A clinical study was initiated to investigate a caries detection device (The Canary System (CS)), based on photothermal radiometry and modulated luminescence (PTR-LUM). The primary objective of this study was to determine if PTR-LUM values (in the form of Canary Numbers; CN) correlate with International Caries Diagnostic and Assessment System (ICDAS II) scores and clinical situations. The secondary objectives of this study were to monitor the safety of PTR-LUM, and collect data to determine how CN values could be used to differentiate healthy from decayed tooth surfaces on a normalized scale. Methods:The trial was a four site, non-blinded study. Data was collected from 92 patients, resulting in 842 scanned tooth surfaces over multiple appointments. Surfaces were assessed according to ICDAS II, and further stratified into five clinical situation categories: 1) healthy surface, 2) non-cavitated white and/or brown spots; 3) caries lesions; 4) cavitation and 5) teeth undergoing remineralization therapy.CN data was analyzed separately for smooth and occlusal surfaces. Using a semi-logarithmic graph to plot raw CN (rCN) and normalized (CN) values, rCN data was normalized into a scale of 0-100. Results:Linear correlations (R2) between CN and ICDAS II groupings for smooth and occlusal surfaces were calculated as 0.9759 and 0.9267, respectively. The mean CN values derived from smooth (20.2±0.6) and occlusal (19±1.0) surfaces identified as healthy had significantly lower CN values (P<0.05) compared with the values from the other clinical situation categories. No adverse events were reported. Conclusion:The present study demonstrated the safety of PTR-LUM for clinical application and its ability to distinguish sound from carious tooth surfaces. A clear shift from the baseline in both PTR and LUM in carious enamel was observed depending on the type and nature of the lesion, and correlated to ICDAS II classification codes, which enabled the preliminary development of a Canary Scale.

SUBMITTER: Silvertown JD

PROVIDER: S-EPMC5738748 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Multi-Centre Clinical Evaluation of Photothermal Radiometry and Luminescence Correlated with International Benchmarks for Caries Detection.

Silvertown Josh D JD Abrams Stephen H SH Sivagurunathan Koneswaran S KS Kennedy Julia J Jeon Jinseok J Mandelis Andreas A Hellen Adam A Hellen Warren W Elman Gary G Ehrlich Richard R Chouljian Raffy R Finer Yoav Y Amaechi Bennett T BT

The open dentistry journal 20171219

<h4>Introduction</h4>A clinical study was initiated to investigate a caries detection device (The Canary System (CS)), based on photothermal radiometry and modulated luminescence (PTR-LUM). The primary objective of this study was to determine if PTR-LUM values (in the form of Canary Numbers; CN) correlate with International Caries Diagnostic and Assessment System (ICDAS II) scores and clinical situations. The secondary objectives of this study were to monitor the safety of PTR-LUM, and collect d ...[more]

PMID: 29290842

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Project description:ObjectiveMicrowave Radiometry is a non-invasive method which determines within seconds the in vivo temperature of internal tissues at a depth of 3-7 cm with an accuracy of ±0.2°C. In this proof-of-concept study, we tested the hypothesis that, in absence of relevant clinical signs, increased local temperature detected by microwave radiometry reflects subclinical synovial inflammation, using ultrasound as reference method.MethodsKnees of healthy controls, subjects with recent knee trauma and symptom-free patients with rheumatoid arthritis (RA) or osteoarthritis were examined by placing the microwave radiometry sensor, a) at the upper one third of the anterior surface of the thigh (control-point), and b) over the suprapatellar recess. Ultrasound was performed immediately after and the possible presence of fluid and/or synovitis was correlated with microwave radiometry findings.ResultsIn 30 healthy and 10 injured knees the temperature was always lower than thigh (32.3±1.1 and 31.8±1.4 versus 34.1±0.9 and 33.6±1.2°C with a difference (ΔΤ) of -1.8±0.2 and -1.9±0.4°C respectively). Of 40 RA and 20 osteoarthritis knees examined, ultrasound findings indicative of subclinical inflammation (fluid effusion and/or Doppler signal) were found in 24 and 12, respectively, in which the temperature was higher than healthy knees and ΔΤ was lower (-0.9±0.7 in RA and -1.0±0.5 in osteoarthritis versus -1.8±0.2°C, p<0.001). The 5 RA knees with power Doppler findings indicative of grade 2 inflammation had a ΔΤ 3 times lower compared to healthy (-0.6±0.6, p = 0.007), whereas the 9 RA and the 7 osteoarthritis knees with additionally fluid effusion, had even lower ΔΤ (-0.4±0.7, p<0.001).ConclusionUsing a safe, rapid and easy-to-perform method, such as microwave radiometry, thermal changes within the knee joint may reflect non-clinically apparent joint inflammation. Refinement of this method, including production of sensors for small joints, could result to the development of the ideal objective tool to detect subclinical synovitis in clinical practice.

Project description:AimThe present investigation aimed at assessing the diagnostic accuracy of DIAGNOdent compared to the International Caries Detection and Assessment System-II (ICDAS-II) in the detection of facial, smooth surface noncavitated carious lesions.Settings and designSixty patients were enrolled in the current study according to the eligibility criteria. There were 161 teeth with noncavitated, white spot carious lesions and 32 sound teeth.Materials and methodsBefore examination, teeth were cleaned and polished and all patients were assessed under standardized operating conditions: preset dental unit position, operating light, and prolonged air drying (approximately 5 s). All teeth were assessed by two calibrated examiners individually without any contact using ICDAS-II and DIAGNOdent.Statistical analysisThe diagnostic accuracy of DIAGNOdent device was determined, including sensitivity, specificity, overall accuracy, positive and negative predictive values, and receiver operating characteristic curve analysis. Chi-square test was conducted to compare the distribution of ICDAS-II and DIAGNOdent scores. Inter-observer agreement between assessors was evaluated using Cohen's kappa test.ResultsIn the current study, DIAGNOdent had an overall accuracy of 84.45% with sensitivity and specificity of 87.58% and 96.87%, respectively, and +PV and -PV of 97.7% and 83.9%, respectively, when score 0 represented sound tooth surface, while scores 1 and 2 were considered clinically noncavitated carious lesions. Moreover, when only ICDAS score 1 was considered representing first visual change in enamel, DIAGNOdent had an accuracy of 74.15% with sensitivity and specificity of 83.53% and 90.62%, respectively, and +PV and -PV of 93% and 78.6%, respectively. In the present study, when only ICDAS score 2 was considered representing distinct visual change in enamel, DIAGNOdent had an accuracy of 100% with sensitivity and specificity of 100% and 100%, respectively, and +PV and -PV of 100% and 100%, respectively.ConclusionsThe overall performance of DIAGNOdent was equivalent to the visual inspection using ICDAS-II. DIAGNOdent might be considered a useful adjunctive device for detection and monitoring development of noncavitated carious lesions on facial smooth surfaces.

Project description:One outstanding challenge for machine learning in diagnostic biomedical imaging is algorithm interpretability. A key application is the identification of subtle epileptogenic focal cortical dysplasias (FCDs) from structural MRI. FCDs are difficult to visualize on structural MRI but are often amenable to surgical resection. We aimed to develop an open-source, interpretable, surface-based machine-learning algorithm to automatically identify FCDs on heterogeneous structural MRI data from epilepsy surgery centres worldwide. The Multi-centre Epilepsy Lesion Detection (MELD) Project collated and harmonized a retrospective MRI cohort of 1015 participants, 618 patients with focal FCD-related epilepsy and 397 controls, from 22 epilepsy centres worldwide. We created a neural network for FCD detection based on 33 surface-based features. The network was trained and cross-validated on 50% of the total cohort and tested on the remaining 50% as well as on 2 independent test sites. Multidimensional feature analysis and integrated gradient saliencies were used to interrogate network performance. Our pipeline outputs individual patient reports, which identify the location of predicted lesions, alongside their imaging features and relative saliency to the classifier. On a restricted 'gold-standard' subcohort of seizure-free patients with FCD type IIB who had T1 and fluid-attenuated inversion recovery MRI data, the MELD FCD surface-based algorithm had a sensitivity of 85%. Across the entire withheld test cohort the sensitivity was 59% and specificity was 54%. After including a border zone around lesions, to account for uncertainty around the borders of manually delineated lesion masks, the sensitivity was 67%. This multicentre, multinational study with open access protocols and code has developed a robust and interpretable machine-learning algorithm for automated detection of focal cortical dysplasias, giving physicians greater confidence in the identification of subtle MRI lesions in individuals with epilepsy.

Dataset Information

Multi-Centre Clinical Evaluation of Photothermal Radiometry and Luminescence Correlated with International Benchmarks for Caries Detection.

Publications

Multi-Centre Clinical Evaluation of Photothermal Radiometry and Luminescence Correlated with International Benchmarks for Caries Detection.

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