Results 11 to 20 of about 8,074 (211)
Clinical periodontal diagnosis
Periodontology 2000, EarlyView., 2023 Abstract Periodontal diseases include pathological conditions elicited by the presence of bacterial biofilms leading to a host response. In the diagnostic process, clinical signs such as bleeding on probing, development of periodontal pockets and gingival recessions, furcation involvement and presence of radiographic bone loss should be assessed prior ...
Giovanni E. Salvi +5 more
wiley +1 more source
Dentistry 3000, 2022 Purpose: Odontogenic cysts and tumors comprise a major component of lesions of the oral and maxillofacial region. The pathogenesis of these lesions involves the interaction between the odontogenic epithelium and the ectomesenchyme. However, the clinical
Vani Verma +3 more
doaj +1 more source
Orthokeratinized odontogenic cyst: A rare presentation
Journal of Indian Academy of Oral Medicine and Radiology, 2014 Orthokeratinized Odontogenic Cyst (OOC) is a developmental cyst of odontogenic origin and was initially defined as the uncommon orthokeratinized variant of the Odontogenic Keratocyst (OKC), until the World Health Organization′s (WHO′s) classification in ...
Neha Bhasin +3 more
doaj +1 more source
New methods of removing debris and high-throughput counting of cyst nematode eggs extracted from field soil [PDF]
Plos One 2019, 2022 The soybean cyst nematode (SCN), Heterodera glycines, is the most damaging pathogen of soybeans in the United States. To assess the severity of nematode infestations in the field, SCN egg population densities are determined. Cysts (dead females) of the nematode must be extracted from soil samples and then ground to extract the eggs within.
arxiv +1 more source
Measurement of breast-tissue x-ray attenuation by spectral mammography: solid lesions [PDF]
Phys Med Biol, 61(7) (2016), 2021 Knowledge of x-ray attenuation is essential for developing and evaluating x-ray imaging technologies. For instance, techniques to distinguish between cysts and solid tumours at mammography screening would be highly desirable to reduce recalls, but the development requires knowledge of the x-ray attenuation for cysts and tumours.
arxiv +1 more source
Deep-learning Assisted Detection and Quantification of (oo)cysts of Giardia and Cryptosporidium on Smartphone Microscopy Images [PDF]
Machine.Learning.for.Biomedical.Imaging. 2 (2024), 2023 The consumption of microbial-contaminated food and water is responsible for the deaths of millions of people annually. Smartphone-based microscopy systems are portable, low-cost, and more accessible alternatives for the detection of Giardia and Cryptosporidium than traditional brightfield microscopes. However, the images from smartphone microscopes are
arxiv +1 more source
Coincidence of nasopalatine duct cyst and dentigerous cyst: A case report
Journal of Craniomaxillofacial Research, 2023 Dentigerous cyst is one of the most common odontogenic cysts of the jaw that slowly grows around an unerupted tooth crown. Nasopalatine duct cyst is a non-odontogenic common jaw cyst. Co-occurrence of nasopalatine duct cyst and dentigerous cyst in the
Ali Sadeghian +2 more
doaj
Indian Journal of Radiology and Imaging, 2020 Spectrum of lesions that occur in the jaws have a cyst-like radiographic appearance. These lesions may be odontogenic or non-odontogenic and are often difficult to differentiate them on the basis of their clinical, radiographic features alone.
Nagaraju Kamarthi +2 more
doaj +1 more source
Proliferating ameloblastomatous calcifying odontogenic cyst: A rare case report
Journal of Oral Research and Review, 2020 Calcifying odontogenic cyst (COC) has many traits of an odontogenic tumor and has in veracity been categorized as such in the World Health Organization publication histologic typing of odontogenic tumors.
Monika Negi +3 more
doaj +1 more source
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer [PDF]
Lab on a Chip (2020), 2020 We report a field-portable and cost-effective imaging flow cytometer that uses deep learning to accurately detect Giardia lamblia cysts in water samples at a volumetric throughput of 100 mL/h. This flow cytometer uses lensfree color holographic imaging to capture and reconstruct phase and intensity images of microscopic objects in a continuously ...
arxiv +1 more source