paper-with-me

Papers

Pneumonia after bacterial or viral infection preceded or followed by radiation exposure -- a reanalysis of older radiobiological data and implications for low dose radiotherapy for COVID-19 pneumonia

2020-08-06 · Mark P Little, Wei zhang, Roy van Dusen, Nobuyuki Hamada

Currently, there are 14 ongoing clinical studies on low dose radiotherapy (LDRT) for COVID-19 pneumonia. An underlying assumption is that irradiation of about 1 Gy is effective at ameliorating viral pneumonia. Its rationale, however, relies on early human case series or animal studies mostly obtained in the pre-antibiotic era, where rigorous statistical analyses were not performed. It therefore remains unclear whether those early data support such assumptions. With standard statistical survival models, and based on a systematic literature review, we re-analyzed 14 radiobiological animal datasets in which animals received mostly fractionated doses of radiation before or after bacterial/viral inoculation, and assessing various health endpoints (mortality, pneumonia morbidity). In most datasets absorbed doses did not exceed 7 Gy. Various different model systems and types of challenging infection are considered. For 7 studies that evaluated post-inoculation radiation exposure (more relevant to LDRT for COVID-19 pneumonia) the results are heterogeneous, with 2 studies showing a significant increase (p<0.001) and another showing a significant decrease (p<0.001) in mortality associated with radiation exposure. For pre-inoculation exposure the results are also heterogeneous, with 6 datasets showing a significant increase (p<0.01) in mortality risk associated with radiation exposure and the other 2 showing a significant decrease (p<0.05) in mortality risk. Collectively, these data do not provide clear support for reductions in morbidity or mortality associated with post-infection radiation exposure. For pre-infection radiation exposure the inconsistency of direction of effect makes this body of data difficult to interpret. Nevertheless, one must be cautious about adducing evidence from the published reports of these old animal datasets.

📄 PDF Abstract BibTeX arXiv:2008.02625

Code (0)

등록된 구현이 없습니다.

Tasks

Systematic Literature Review

Similar Papers 제목 키워드 기반

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

2020-04-14 · Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Khandaker R. Islam 외

Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon in the right time and thus an early diagnosis of pneumonia is…

General ClassificationPneumonia DetectionTransfer Learning

A model for COVID-19 and bacterial pneumonia coinfection with community- and hospital-acquired infections

2022-07-27 · Angel G. C. Pérez, David A. Oluyori

We propose a new mathematical model to study the coinfection dynamics of COVID-19 and bacterial pneumonia. Our model includes two infection ways for pneumonia, corresponding to community-acquired and hospital-acquired in…

Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks

2025-03-03 · Carlos Arizmendi, Jorge Pinto, Alejandro Arboleda, Hernando González

According to the World Health Organization (WHO), pneumonia is a disease that causes a significant number of deaths each year. In response to this issue, the development of a decision support system for the classificatio…

Dimensionality ReductionTransfer Learning

Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image

2021-10-06 · Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli 외

Over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19. T…

DiagnosticTransfer Learning

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

2026-04-14 · Utsho Kumar Dey arxiv

Pneumonia remains a leading cause of childhood mortality worldwide, with a heavy burden in low-resource settings such as Bangladesh where radiologist availability is limited. Most existing deep learning approaches treat …

Pneumonia Detection