scholarly journals Near-Infrared Imaging of Artificial Enamel Caries Lesions with a Scanning Fiber Endoscope

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1419 ◽  
Author(s):  
Robert Lee ◽  
Yaxuan Zhou ◽  
Sara Finkleman ◽  
Alireza Sadr ◽  
Eric Seibel

Several studies have shown that near-infrared imaging has great potential for the detection of dental caries lesions. A miniature scanning fiber endoscope (SFE) operating at near-infrared (NIR) wavelengths was developed and used in this study to test whether the device could be used to discriminate demineralized enamel from sound enamel. Varying depths of artificial enamel caries lesions were prepared on 20 bovine blocks with smooth enamel surfaces. Samples were imaged with a SFE operating in the reflectance mode at 1310-nm and 1460-nm in both wet and dry conditions. The measurements acquired by the SFE operating at 1460-nm show significant difference between the sound and the demineralized enamel. There was a moderate positive correlation between the SFE measurements and micro-CT measurements, and the NIR SFE was able to detect the presence of demineralization with high sensitivity (0.96) and specificity (0.85). This study demonstrates that the NIR SFE can be used to detect early demineralization from sound enamel. In addition, the NIR SFE can differentiate varying severities of demineralization. With its very small form factor and maneuverability, the NIR SFE should allow clinicians to easily image teeth from multiple viewing angles in real-time.

2016 ◽  
Vol 32 (4) ◽  
pp. 587-595 ◽  
Author(s):  
Jacob C. Simon ◽  
Seth A. Lucas ◽  
Robert C. Lee ◽  
Cynthia L. Darling ◽  
Michal Staninec ◽  
...  

2010 ◽  
Vol 15 (4) ◽  
pp. 047011 ◽  
Author(s):  
Chulsung Lee ◽  
Dustin Lee ◽  
Cynthia L. Darling ◽  
Daniel Fried

2019 ◽  
Vol 101 (7) ◽  
pp. 508-513 ◽  
Author(s):  
A DiMarco ◽  
R Chotalia ◽  
R Bloxham ◽  
C McIntyre ◽  
N Tolley ◽  
...  

Introduction Near-infrared imaging may facilitate intraoperative identification of parathyroid glands by causing autofluorescence but its clinical value has not been established. Inadvertent parathyroidectomy occurs in 5–22% of thyroidectomies and is associated with temporary and permanent hypoparathyroidism. The aim of this study was to determine whether near-infrared imaging prevents inadvertent parathyroidectomy and early hypocalcaemia as a surrogate for permanent hypoparathyroidism. Materials and methods Near-infrared imaging was used in a prospective cohort of consecutive thyroidectomies. Thyroidectomies performed prior to the introduction of near-infrared imaging formed a control group. The thyroid bed and specimen were scanned with near-infrared imaging. Areas of autofluorescence on the specimen were examined and any parathyroid tissue found was autotransplanted. Inadvertent parathyroidectomy was therefore recorded as established intraoperatively by near-infrared imaging (allowing autotransplantation) or on subsequent histology (missed). Serum calcium and parathyroid hormone were measured on day one and at two weeks and six months postoperatively. Results A total of 269 patients were included: 106 near-infrared imaging and 163 controls. Inadvertent parathyroidectomy was detected by near-infrared imaging in two (and autotransplantation performed) and histologically (i.e. missed by near-infrared imaging in 13, 12.3% vs 17, 10.4% controls). Neither result was statistically significant (P = 0.08, 0.89). There was no significant difference in serum calcium or parathyroid hormone between near-infrared imaging and control groups at one day, two weeks or thereafter. Discussion Near-infrared imaging may detect inadvertent parathyroidectomy and may allow autotransplantation. It did not, however, reduce the incidence of missed inadvertent parathyroidectomy and no difference was seen in early hypocalcaemia or late hypoparathyroidism. Current near-infrared imaging technology does not appear to confer a clinical benefit sufficient to justify its use.


Author(s):  
Ewa M. Nowara ◽  
Tim K. Marks ◽  
Hassan Mansour ◽  
Ashok Veeraraghavan

2021 ◽  
Vol 93 (5) ◽  
pp. 3035-3041
Author(s):  
Zhao Wang ◽  
Weiwei Wang ◽  
Pengzhan Wang ◽  
Xinjian Song ◽  
Zhiqiang Mao ◽  
...  

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Krishna Agarwal ◽  
Rui Chen ◽  
Lian Ser Koh ◽  
Colin J. R. Sheppard ◽  
Xudong Chen

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