Purpose/objective(s): Intensification of radiotherapy and chemotherapy for head-and-neck cancer (HNC) may lead to increased rates of long term dysphagia as a severe side effect. Mucositis and consequent swallowing problems require artificial nutrition in many HNC patients undergoing radiotherapy or chemoradiation. It is unknown, which predict factors for prophylactic PEG tube insertion appear useful.
Materials/methods: From an institutional database, 101 patients (72 male, 29 female, mean age 59.5years) were identified who underwent radiotherapy or chemoradiation for HNC. Primary end point of the investigation was the need for artificial nutrition for more than 4days during radiotherapy. Dose volume parameters of defined normal tissue structures potentially of relevance for swallowing ability as well as clinical factors were used to develop a predictive model using a binary multiple logistic regression model.
Results: Whereas several dosimetric and clinical factors were significant predictors for the need of artificial nutrition on univariate analysis, on multivariate analysis only three factors remained independently significant: mean dose to the oropharynx+1cm circumferential margin, ECOG performance state (0-1 vs. 2-4), and the use of chemotherapy (yes vs. no).
Conclusions: Using a 3 parameter model we could distinguish HNC-patients with different risks for the need of artificial nutrition during radiotherapy. After independent validation, the model could be helpful to decision on prophylactic PEG tube insertion.
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http://dx.doi.org/10.1016/j.radonc.2016.05.017 | DOI Listing |
Iran Biomed J
December 2024
Student Research Committee , Department of Nursing, Khalkhal University of Medical Sciences, Khalkhal, Iran.
Vet Sci
December 2024
Department of Animal Sciences and Center for Nutrition and Pregnancy, North Dakota State University, Fargo, ND 58108, USA.
Two experiments assessed the effects of providing a vitamin and mineral supplement to gestating beef heifers on concentrations of immunoglobulins (Ig) in colostrum and calf serum 24 h after feeding maternal colostrum (Exp. 1) or a colostrum-replacement product (Exp. 2).
View Article and Find Full Text PDFToxins (Basel)
December 2024
Department of Food Analysis and Nutrition, University of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic.
The increasing contamination of cereals by micromycetes and mycotoxins during malting still poses an unresolved food safety problem. This study characterises the potential of the novel, rapidly developing food production technology of Pulsed Electric Field (PEF) to reduce the viability of fungi and the production of mycotoxins during malting. Barley, artificially inoculated with four species, was treated by PEF with two different intensities and then malted using a standard Pilsner-type technology.
View Article and Find Full Text PDFNurs Rep
December 2024
Department of Philosophy, Idaho State University, Pocatello, ID 83209, USA.
Background/objectives: Caring for patients at the end of life can involve issues that are ethically and legally fraught: withholding or withdrawing artificial nutrition and hydration, pain control that could hasten death, aggressive treatment that is continued when it seems only to be prolonging suffering, patients who request medical assistance in dying, and so forth. Clinicians may find that their deeply held ethical principles conflict with law, institutional policy, or patients' choices. In these situations, they may consider either refusing to participate in procedures that they find morally abhorrent (conscientious refusal) or providing care that they believe to be ethically obligatory despite being contrary to law or policy (conscientious commitment).
View Article and Find Full Text PDFJ Imaging
November 2024
Architecture and Design College, Nanchang University, No. 999, Xuefu Avenue, Honggutan New District, Nanchang 330031, China.
Food semantic segmentation is of great significance in the field of computer vision and artificial intelligence, especially in the application of food image analysis. Due to the complexity and variety of food, it is difficult to effectively handle this task using supervised methods. Thus, we introduce IngredSAM, a novel approach for open-world food ingredient semantic segmentation, extending the capabilities of the Segment Anything Model (SAM).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!