Radiation recall dermatitis (RRD) is a rare and poorly understood phenomenon, constituting an inflammatory skin reaction to a previously irradiated area of skin following the administration of certain agents, usually chemotherapy. Our patient developed RRD 66 years after receiving radiation therapy; to the best of our knowledge, this is the longest reported period in the literature. The mainstay of therapy is to withhold the agent that elicited the adverse reaction, followed by symptomatic management. Subjecting patients to further chemotherapy can provoke another episode of RRD. Therefore, clinical judgment in this regard is usually recommended.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716758 | PMC |
| http://dx.doi.org/10.7759/cureus.5020 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Quantity and quality of dietary carbohydrates, low-grade inflammation, and risk of chronic obstructive pulmonary disease and lung function.
Clin Nutr
December 2024
The Fourth Affiliated Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China. Electronic address:
Background: The relationships between different dietary carbohydrates and risk of chronic obstructive pulmonary disease (COPD) have been rarely assessed. This study examined the relationships of different dietary carbohydrates with incident COPD and lung function, and the potential mediating role of chronic inflammation.
Methods: A total of 205,752 UK Biobank participants were included.
Background parenchymal enhancement in CEM and MRI: Is there always a high agreement?
Eur J Radiol
December 2024
Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Währinger Gürtel 18-20, Vienna 1180, Austria.
Introduction: Background parenchymal enhancement (BPE) refers to the physiological enhancement of breast fibroglandular tissue. This study aimed to determine the agreement of BPE evaluation between contrast enhanced mammography (CEM) and magnetic resonance imaging (MRI) and investigate potential confounders.
Materials And Methods: This retrospective, IRB-approved study included women recalled from screening or with inconclusive findings on mammography and/or ultrasound, who underwent both CEM and MRI between 2018 and 2022.
Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity.
Adv Radiat Oncol
February 2025
Departments of Radiation Physics.
Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic determination of the optimal algorithm to model any given labeled data set.
Methods And Materials: We obtained 3 sets of radiation toxicity data (478 patients) from our clinic: gastrointestinal toxicity, radiation pneumonitis, and radiation esophagitis. These data comprised clinicopathological and dosimetric information for patients diagnosed with non-small cell lung cancer and anal squamous cell carcinoma.
Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.
Vet Comp Oncol
December 2024
Radiogenomics Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Integrating Artificial Intelligence (AI) through Natural Language Processing (NLP) can improve veterinary medical oncology clinical record analytics. Named Entity Recognition (NER), a critical component of NLP, can facilitate efficient data extraction and automated labelling for research and clinical decision-making. This study assesses the efficacy of the Bio-Epidemiology-NER (BioEN), an open-source NER developed using human epidemiological and medical data, on veterinary medical oncology records.
View Article and Find Full Text PDFA qBOLD-based clinical radiomics-integrated model for predicting isocitrate dehydrogenase-1 mutation in gliomas.
Med Phys
December 2024
Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Background: Quantitative blood oxygenation level-dependent (qBOLD) technique can be applied to detect tissue damage and changes in hemodynamic in gliomas. It is not known whether qBOLD-based radiomics approaches can improve the prediction of isocitrate dehydrogenase-1 (IDH-1) mutation.
Purpose: To establish a qBOLD-based clinical radiomics-integrated model for predicting IDH-1 mutation in gliomas.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!