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Impact of Physical Exercise on Breast Cancer-Related Lymphedema and Non-Invasive Measurement Tools: A Systematic Review.

Cancers (Basel)

January 2025

SALBIS Research Group, Department of Nursing and Physiotherapy, Faculty of Health Sciences, Campus de Ponferrada, Universidad de León, 24401 León, Spain.

Breast cancer-related lymphedema (BCRL) is a chronic disease with lasting effects, making it one of the most feared sequelae of breast cancer with significant personal and social impacts. Therapeutic exercises play a fundamental role in its treatment. This systematic review aims to provide the most up-to-date findings on the impact of physical exercise on the management of BCRL.

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Herpes zoster (HZ) is a viral infection caused by the reactivation of endogenous and latent varicella-zoster virus that remains dormant in the cranial nerve or dorsal root ganglia. HZ occurs in a portion of the general population, with a higher incidence observed in high-risk individuals. Patients with impaired immunity, including human immunodeficiency virus infection, organ transplantation, old age, and cancer-related treatments such as chemotherapy (CT) and radiotherapy (RT) were found more prone to HZ infection.

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Rectal temperature and heat transfer dynamics in the eye, face, and breast of broiler chickens exposed to moderate heat stress.

Poult Sci

December 2024

Department of Animal Science, Faculty of Agricultural and Food Sciences, Université Laval, 2425 Rue de l'Agriculture, Quebec City, Quebec G1V 0A6, Canada; Swine and Poultry Infectious Diseases Research Center, Faculty of Veterinary Medicine, Université de Montréal, 3200 Rue Sicotte, St-Hyacinthe, Quebec J2S 2M2, Canada. Electronic address:

This study aimed to characterize body temperature in finishing broiler chickens and to explore heat transfer dynamics under thermoneutral (TN) and heat stress (HS) conditions. To achieve this, 900 Ross 308 chicks were divided into TN and HS groups, with the HS group subjected to cyclical heat stress (30°C, 45 % RH) from day 28 to day 33 post-hatch. Rectal temperature (T) and skin temperature (T) at the face (T), eye (T), and breast (T) were measured.

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The Use of Hybrid CNN-RNN Deep Learning Models to Discriminate Tumor Tissue in Dynamic Breast Thermography.

J Imaging

December 2024

Department of Computing, Electronics and Mechatronics, Universidad de las Américas Puebla, Sta. Catarina Martir, San Andrés Cholula 72810, Mexico.

Breast cancer is one of the leading causes of death for women worldwide, and early detection can help reduce the death rate. Infrared thermography has gained popularity as a non-invasive and rapid method for detecting this pathology and can be further enhanced by applying neural networks to extract spatial and even temporal data derived from breast thermographic images if they are acquired sequentially. In this study, we evaluated hybrid convolutional-recurrent neural network (CNN-RNN) models based on five state-of-the-art pre-trained CNN architectures coupled with three RNNs to discern tumor abnormalities in dynamic breast thermographic images.

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Introduction: Pregnancy comprises a period of 41 weeks, in which the female body undergoes several physiological, hormonal and anatomical changes that can generate changes in skin temperature.

Objective: To describe the thermal profile of pregnant women during the first, second and third trimester of pregnancy.

Method: This is a cross-sectional observational study.

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