OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models.

Oral cancer ranks sixteenth amongst types of cancer by number of deaths. Many oral cancers are developed from potentially malignant disorders such as oral leukoplakia, whose most frequent predictor is the presence of epithelial dysplasia. Immunohistochemical staining using cell proliferation biomarkers such as ki67 is a complementary technique to improve the diagnosis and prognosis of oral leukoplakia. The cell counting of these images was traditionally done manually, which is time-consuming and not very reproducible due to intra- and inter-observer variability. The software presently available is not suitable for this task. This article presents the OralImmunoAnalyser software (registered by the University of Santiago de Compostela-USC), which combines automatic image processing with a friendly graphical user interface that allows investigators to oversee and easily correct the automatically recognized cells before quantification. OralImmunoAnalyser is able to count the number of cells in three staining levels and each epithelial layer. Operating in the daily work of the Odontology Faculty, it registered a sensitivity of 64.4% and specificity of 93% for automatic cell detection, with an accuracy of 79.8% for cell classification. Although expert supervision is needed before quantification, OIA reduces the expert analysis time by 56.5% compared to manual counting, avoiding mistakes because the user can check the cells counted. Hence, the SUS questionnaire reported a mean score of 80.9, which means that the system was perceived from good to excellent. OralImmunoAnalyser is accurate, trustworthy, and easy to use in daily practice in biomedical labs. The software, for Windows and Linux, with the images used in this study, can be downloaded from https://citius.usc.es/transferencia/software/oralimmunoanalyser for research purposes upon acceptance.

Bibliometric Analysis of Medication-Related Osteonecrosis of the Jaw: High Citation Rates but Low Evidence.

PURPOSE: Citation analysis is one of the most commonly used bibliometric tools for measuring the academic importance of a report in a specific area of knowledge. The objective of the present study was to identify the 100 most cited reports on medication-related osteonecrosis of the jaw (MRONJ), determine their main bibliometric characteristics, and identify the bibliometric variables that affected the citation rates. MATERIALS AND METHODS: We performed a data search in the Scopus database to determine the number of MRONJ article citations up to September 30, 2018. We next selected the 100 most referenced studies and recorded the following information: ranking according to the number of citations; citation density; number and names of authors; language and year of publication; country and institution of origin; financial support; journal name, impact factor, category, and quartile; type of research; evidence level; and area of study. RESULTS: The 100 most cited reports had a mean citation density of 21.7 ± 20.7 (range, 6.2 to 99.4) and an h-index of 96. The 100 most cited reports on MRONJ had been published in 42 scientific journals, classified into 10 separate categories of the Journal Citation Reports; 56% of the articles were in the first quartile of their category. Most of the studies had been classified with a level of evidence of 4 (n = 45) or 5 (n = 29). In the bivariate analyses, only the conflict of interest (P = .002) was associated with citation density. After adjusting for numerous variables, conflict of interest (r = 0.27; P = .020) and country of the first author (r = 0.23; P = .043) were significantly associated with citation density. CONCLUSIONS: The 100 most cited studies of MRONJ had a large number of citations and had been reported in journals with a high impact factor; however, the studies had a generally low evidence level and randomized clinical trials were lacking.

The 100 most cited articles on oral cancer.

BACKGROUND: Citations analysis is one of the most widely used bibliometric tools to evaluate the academic importance of a study in a specific area of knowledge. The objective of this study was to identify the 100 most cited articles on oral cancer and to analyse their principal characteristics. METHODS: We performed a literature search in the Web of Science database using the Science Citation Index Expanded tool to determine the number of citations of all articles on oral cancer identified up to 10 August 2017. The 100 most referenced articles were then selected, and the following information was gathered: ranking based on the number of citations; citation density; citations in Scopus; number and names of the authors; language and year of publication; country and institution of origin; financial support; journal of publication, with its impact factor, category and quartile; type of research; evidence level; and area of study. RESULTS: The number of citations of the 100 articles varied from 1959 to 165, and the number of authors varied from a single author to 23. The oldest article was from 1948, and the most recent was from 2013. All the studies were published in English, the majority (56%) was from the United States, and 80% were published in journals in the first quartile. CONCLUSIONS: The majority of articles were of studies that had received financial support, were published in journals with a high impact factor and were focussed on the aetiology and pathogenesis of oral cancer.

Clinical value of diascopy and other non-invasive techniques on differential diagnosis algorithms of oral pigmentations: A systematic review.

OBJECTIVES: To determine the diagnostic value of diascopy and other non-invasive clinical aids on recent differential diagnosis algorithms of oral mucosal pigmentations affecting subjects of any age. MATERIAL AND METHODS: Data Sources: this systematic review was conducted by searching PubMed, Scopus, Dentistry & Oral Sciences Source and the Cochrane Library (2000-2015); Study Selection: two reviewers independently selected all types of English articles describing differential diagnosis algorithms of oral pigmentations and checked the references of finally included papers; Data Extraction: one reviewer performed the data extraction and quality assessment based on previously defined fields while the other reviewer checked their validity. RESULTS: Data Synthesis: eight narrative reviews and one single case report met the inclusion criteria. Diascopy was used on six algorithms (66.67%) and X-ray was included once (11.11%; 44.44% with text mentions); these were considered helpful tools in the diagnosis of intravascular and exogenous pigmentations, respectively. Surface rubbing was described once in the text (11.11%). CONCLUSIONS: Diascopy was the most applied method followed by X-ray and surface rubbing. The limited scope of these procedures only makes them useful when a positive result is obtained, turning biopsy into the most recommended technique when diagnosis cannot be established on clinical grounds alone. Key words:Algorithm, differential diagnosis, flow chart, oral mucosa, oral pigmentation, systematic review.