Wellens pattern as the debut of acute pulmonary embolism: A case report.

The Wellens pattern is an electrocardiographic finding seen in patients with chest pain and atherosclerotic coronary artery disease and is described as a symmetrical T-wave inversion or biphasic T-wave inversion in precordial leads. The deep inversion of the precordial T wave is a sign associated with various etiologies, including left ventricular hypertrophy, vasospasm, and pulmonary embolism. We present the case of a patient who debuts with chest pain and electrocardiographic findings consistent with the Wellens and McGinn-White patterns, who was subsequently diagnosed with intermediate-risk pulmonary embolism after ruling out obstructive coronary artery disease. We discussed the differential diagnostic approach to T-wave inversion as a sign associated with high-risk conditions.

Identificación del biotipo facial mediante fotografía vs. radiografías laterales de cráneo. Revisión de literatura / Identification of the facial biotype by photography versus lateral skull radiography. Literature review

Objetivo: reconocer la eficacia de la identificación del biotipo facial mediante fotografía vs. radiografías laterales de cráneo. Materiales y métodos: se realizó un estudio de tipo descriptivo, retrospectivo de la literatura. Para ello se consultaron bases de datos electrónicas, como PubMed, ScienceDirect, Lilacs, Epistemonikos, Sage, Healey Library, Scielo y Google Scholar. Las palabras clave utilizadas fueron: photographs; extraoral photographs; cephalometry; lateral cephalograms; facial biotypes; brachyfacial; mesofacial; dolichofacial. La búsqueda se restringió a artículos en inglés, español y portugués publicados desde el año 2017 hasta el año 2022. Resultados: el biotipo facial permite determinar las características morfológicas y funcionales relacionadas con la dirección en la cual el macizo craneofacial crece y se desarrolla. Existen varios métodos que posibilitan la identificación del biotipo facial. En la actualidad hay diversos tipos de software que, mediante fotografías digitales de las dimensiones y proporciones faciales, permiten identificar el biotipo facial; no obstante, el estándar de oro para la determinación del biotipo facial son las radiografías laterales de cráneo, en las que, por medio de un sistema de trazos, se logra la identificación del biotipo. Este es un método que demanda mayores conocimientos teóricos-anatómicos, por lo que, en la mayoría de los casos, los resultados son más precisos. Sin embargo, al ser ambas técnicas "operador-dependiente", la veracidad de los resultados dependerá en gran medida de los conocimientos, las habilidades y las destrezas de cada profesional. Conclusión: tanto las fotografías digitales como las radiografías laterales del cráneo permiten la identificación del biotipo facial. La precisión de su resultado dependerá, en gran medida, de las habilidades, las destrezas y los conocimientos del profesional, tanto de la técnica como de sus conocimientos básicos de anatomía y radiología.

Objective: To recognize the efficacy of facial biotype identification by photography vs. lateral skull radiographs. Materials and methods:A descriptive, retrospective study of the literature was carried out, for which electronic databases such as PubMed, Science Direct, Lilacs, Epistemonikos, Sage, Healey Library, Scielo and Google Scholar were consulted. The keywords used were: photographs; extraoral photographs; cephalometry; lateral cephalograms; facial biotypes; brachyfacial; mesofacial; dolichofacial. The search was restricted to articles in English, Spanish, and Portuguese published from 2018 to 2022. Results: The facial biotype allows the determination of the morphological and functional characteristics related to the direction in which the craniofacial massif grows and develops. There are several methods that allow the identification of the facial biotype, currently there are different types of software that allow the analysis through digital photographs of the dimensions and facial proportions that allow the identification of the facial biotype; However, the gold standard for determining the facial biotype are lateral skull radiographs, in which biotype identification is achieved by means of a trace system, being a method that demands greater theoretical-anatomical knowledge, therefore that the results in most cases are more precise, however, as both techniques are "operator dependent", the veracity of the results found to a great extent on the knowledge, abilities and skills of each professional. Conclusion: Both digital photographs and lateral skull radiographs allow the identification of the facial biotype, the accuracy of the result will depend mainly on the skills, abilities, and knowledge of the professional, both the technique and of his basic understanding of anatomy and radiology.

Discrimination of skin cancer cells using Fourier transform infrared spectroscopy.

Fourier transform infrared (FTIR) spectroscopy is a highly versatile tool for cell and tissue analysis. Modern commercial FTIR microspectroscopes allow the acquisition of good-quality hyperspectral images from cytopathological samples within relatively short times. This study aims at assessing the abilities of FTIR spectra to discriminate different types of cultured skin cell lines by different computer analysis technologies. In particular, 22700 single skin cells, belonging to two non-tumoral and two tumoral cell lines, were analysed. These cells were prepared in three different batches that included each cell type. Different spectral preprocessing and classification strategies were considered, including the current standard approaches to reduce Mie scattering artefacts. Special care was taken for the optimisation, training and evaluation of the learning models in order to avoid possible overfitting. Excellent classification performance (balanced accuracy between 0.85 and 0.95) was achieved when the algorithms were trained and tested with the cells from the same batch. When cells from different batches were used for training and testing the balanced accuracy reached values between 0.35 and 0.6, demonstrating the strong influence of sample preparation on the results and comparability of cell FTIR spectra. A deep study of the most optimistic results was performed in order to identify perturbations that influenced the final classification.