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.

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.

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.

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.