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  • 1
    In: Annals of the New York Academy of Sciences, Wiley, Vol. 1475, No. 1 ( 2020-09), p. 52-63
    Abstract: Cracked teeth are the third most common cause of tooth loss, but there is no reliable imaging tool for the diagnosis of cracks. Here, we demonstrate the feasibility of indocyanine green near‐infrared fluorescence (ICG‐NIRF) dental imaging for the detection of enamel cracks and enamel–dentin cracks in vitro in the first (ICG‐NIRF‐I, 700–950 nm) and second (ICG‐NIRF‐II, 950–1700 nm) imaging windows with transmission excitation light, and compared ICG‐NIRF with conventional NIR illumination‐II (NIRi‐II) and X‐ray imaging. Dentin cracks were detected by CT scan, while most enamel cracks, undetectable under X‐ray imaging, were clearly visible in NIR images. We found that ICG‐NIRF‐II detected cracks more effectively than NIRi‐II, and that light orientation is an important factor for crack detection: an angled exposure obtained better image contrast of cracks than parallel exposure, as it created a shadow under the crack. Crack depth could be evaluated from the crack shadow in ICG‐NIRF and NIRi‐II images; from this shadow we could determine crack depth and discriminate enamel–dentin cracks from craze lines. Cracks could be observed clearly from ICG‐NIRF images with 1‐min ICG tooth immersion, although longer ICG immersion produced images with greater contrast. Overall, our data show that ICG‐NIRF dental imaging is a useful tool for diagnosing cracked teeth at an early stage.
    Type of Medium: Online Resource
    ISSN: 0077-8923 , 1749-6632
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
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  • 2
    In: Annals of the New York Academy of Sciences, Wiley, Vol. 1448, No. 1 ( 2019-07), p. 42-51
    Abstract: Indocyanine green (ICG) has been widely used in medical imaging, such as in retinal angiography. Here, we describe a pilot ex vivo study of ICG‐assisted near‐infrared fluorescence (NIRF) dental imaging in the first (700–950 nm for ICG‐NIRF‐I) and second (1000–1700 nm for ICG‐NIRF‐II) NIR windows using human extracted teeth; our study is compared with the traditional prevalent X‐ray imaging and NIR II illumination (NIRi‐II, 1310 nm) without ICG enhancement. The results show that ICG fluorescence has much better imaging contrast in both windows compared with NIRi‐II (by quantitatively comparing NIR intensity of the critical neighboring structures, such as enamel and dentin). Cracked teeth, notoriously hard to diagnose by dental X‐ray and computed tomography, were clearly profiled in NIRF dental imaging. An insidious occlusal caries, missing in X‐ray imaging, became a bright dot that was readily observed in ICG‐NIRF‐I images. For dental decay, NIRF imaging with ICG enhancement could clearly delineate the decay boundary. NIRF in both windows distinguished interproximal and occlusal superficial caries. Overall, ICG‐assisted NIRF dental imaging has unique advantages in identifying cracked teeth and insidious caries. The two NIR imaging windows used in our study might one day serve as noninvasive and nonionizing‐radiation methods for the diagnosis of critical dental diseases in situ .
    Type of Medium: Online Resource
    ISSN: 0077-8923 , 1749-6632
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2834079-6
    detail.hit.zdb_id: 211003-9
    detail.hit.zdb_id: 2071584-5
    SSG: 11
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Wiley ; 2019
    In:  Annals of the New York Academy of Sciences Vol. 1448, No. 1 ( 2019-07)
    In: Annals of the New York Academy of Sciences, Wiley, Vol. 1448, No. 1 ( 2019-07)
    Type of Medium: Online Resource
    ISSN: 0077-8923 , 1749-6632
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2834079-6
    detail.hit.zdb_id: 211003-9
    detail.hit.zdb_id: 2071584-5
    SSG: 11
    Location Call Number Limitation Availability
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  • 4
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 117, No. 5 ( 2020-02-04), p. 2560-2569
    Abstract: De novo mutations (DNMs), or mutations that appear in an individual despite not being seen in their parents, are an important source of genetic variation whose impact is relevant to studies of human evolution, genetics, and disease. Utilizing high-coverage whole-genome sequencing data as part of the Trans-Omics for Precision Medicine (TOPMed) Program, we called 93,325 single-nucleotide DNMs across 1,465 trios from an array of diverse human populations, and used them to directly estimate and analyze DNM counts, rates, and spectra. We find a significant positive correlation between local recombination rate and local DNM rate, and that DNM rate explains a substantial portion (8.98 to 34.92%, depending on the model) of the genome-wide variation in population-level genetic variation from 41K unrelated TOPMed samples. Genome-wide heterozygosity does correlate with DNM rate, but only explains 〈 1% of variation. While we are underpowered to see small differences, we do not find significant differences in DNM rate between individuals of European, African, and Latino ancestry, nor across ancestrally distinct segments within admixed individuals. However, we did find significantly fewer DNMs in Amish individuals, even when compared with other Europeans, and even after accounting for parental age and sequencing center. Specifically, we found significant reductions in the number of C→A and T→C mutations in the Amish, which seem to underpin their overall reduction in DNMs. Finally, we calculated near-zero estimates of narrow sense heritability ( h 2 ), which suggest that variation in DNM rate is significantly shaped by nonadditive genetic effects and the environment.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
    RVK:
    RVK:
    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2020
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    detail.hit.zdb_id: 1461794-8
    SSG: 11
    SSG: 12
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