Successful Teaching of Radiobiology Students in the Medical Management of Acute Radiation Effects From Real Case Histories Using Clinical Signs and Symptoms and Taking Advantage of Recently Developed Software Tools

Radiation Research Society Journal-based Historical Review of the Use of Biomarkers for Radiation Dose and Injury Assessment: Acute Health Effects Predictions

A multiple-parameter based approach using radiation-induced clinical signs and symptoms, hematology changes, cytogenetic chromosomal aberrations, and molecular biomarkers changes after radiation exposure is used for biodosimetry-based dose assessment. In the current article, relevant milestones from Radiation Research are documented that forms the basis of the current consensus approach for diagnostics after radiation exposure. For example, in 1962 the use of cytogenetic chromosomal aberration using the lymphocyte metaphase spread dicentric assay for biodosimetry applications was first published in Radiation Research. This assay is now complimented using other cytogenetic chromosomal aberration assays (i.e., chromosomal translocations, cytokinesis-blocked micronuclei, premature chromosome condensation, γ-H2AX foci, etc.). Changes in blood cell counts represent an early-phase biomarker for radiation exposures. Molecular biomarker changes have evolved to include panels of organ-specific plasma proteomic and blood-based gene expression biomarkers for radiation dose assessment. Maturation of these assays are shown by efforts for automated processing and scoring, development of point-of-care diagnostics devices, service laboratories inter-comparison exercises, and applications for dose and injury assessments in radiation accidents. An alternative and complementary approach has been advocated with the focus to de-emphasize "dose" and instead focus on predicting acute or delayed health effects. The same biomarkers used for dose estimation (e.g., lymphocyte counts) can be used to directly predict the later developing severity degree of acute health effects without performing dose estimation as an additional or intermediate step. This review illustrates contributing steps toward these developments published in Radiation Research.

The METREPOL criteria-are they still relevant?

The medical management of radiation accidents manual on the acute radiation syndrome proposed a successful strategic approach to diagnosing and treating acute radiation syndrome: the response category concept. Based on clinical and laboratory parameters, this approach aimed to assess damage to critical organ systems as a function of time, categorising different therapeutical approaches. After 20 years of its publication, the following paper attempts to provide a broad overview of this important document and tries to respond if proposed criteria are still relevant for the medical management of radiation-induced injuries. In addition, a critical analysis of its limitations and perspectives is proposed.

Training of clinical triage of acute radiation casualties: a performance comparison ofon-siteversusonlinetraining due to the covid-19 pandemic

A collection of powerful diagnostic tools have been developed under the umbrellas of NATO for ionising radiation dose assessment (BAT, WinFRAT) and estimate of acute health effects in humans (WinFRAT, H-Module). We assembled a database of 191 ARS cases using the medical treatment protocols for radiation accident victims (n= 167) and the system for evaluation and archiving of radiation accidents based on case histories (n= 24) for training purposes of medical personnel. From 2016 to 2019, we trained 39 participants comprising MSc level radiobiology students in an on-site teaching class. Enforced by the covid-19 pandemic in 2020 for the first time, an online teaching of nine MSc radiobiology students replaced the on-site teaching. We found that: (a) limitations of correct diagnostic decision-making based on clinical signs and symptoms were experienced unrelated to the teaching format. (b) A significant performance decrease concerning online (first number in parenthesis) versus on-site teaching (reference and second number in parenthesis) was seen regarding the estimate time (31 vs 61 cases per hour, two-fold decrease,p= 0.005). Also, the accurate assessment of response categories (89.9% vs 96.9%,p= 0.001), ARS (92.4% vs 96.7%,p= 0.002) and hospitalisation (93.5% vs 97.0%,p= 0.002) decreased by around 3%-7%. The performances of the online attendees were mainly distributed within the lower quartile performance of on-site participants and the 25%-75% interquartile range increased 3-7-fold. (c) Comparison of dose estimates performed by training participants with hematologic acute radiation syndrome (HARS) severity mirrored the known limitations of dose alone as a surrogate parameter for HARS severity at doses less than 1.5 Gy, but demonstrated correct determination of HARS 2-4 and support for clinical decision making at dose estimates >1.5 Gy, regardless of teaching format. (d) Overall, one-third of the online participants showed substantial misapprehension and insecurities of elementary course content that did not occur after the on-site teaching.

Education and training of clinical oncologists-experience from a low-resource setting in Zimbabwe

As the burden of cancer increases worldwide, more so in low- and middle-income countries, one of the greatest challenges is human resource capacity development. Addressing this is critical in reducing the burden of cancer in the African continent. Other challenges include socio-economic demographics and disparities in the overall cancer care. Lack of sufficient numbers of qualified staff has been one of the obstacles in developing adequate and modern cancer treatment centres in Africa. Training in clinical oncology in Zimbabwe was established in 1990 through the collaboration between the Government of Zimbabwe and the WHO as a regional project. The training is offered by the University of Zimbabwe through the established Master of Medicine in Radiotherapy and Oncology (MMed Rad & Onco) postgraduate programme. Regional and local fellows have been trained, yielding more than 20 clinical oncologists over the years, who have initiated cancer treatment facilities in Africa and beyond. They have continued to train others, fulfilling the original WHO programme target of transfer of skills in sub-Saharan Africa. Collaborations with external partners have complemented efforts by the local faculty in addressing deficiencies in training, in areas where experts in the subject are lacking and in supporting nationals working abroad to come and teach newer technologies and techniques. The curriculum continues to evolve from knowledge-based training to competency-based training. However, there is a need to expand the current infrastructure to keep up with changing technology.

Clinical oncology training in Zimbabwe continues and remains a regional resource. Emphasis on subspecialising seems to be the next natural step in progression. Strengthening of other disciplines, including surgical oncology and medical physics, would be complementary to the training. The programme is an example of a sustainable initiative born out of collaborative partnership and is sustained by local resources. The greater majority of qualified oncologists have remained in Africa.

A New Smartphone Application to Predict Hematologic Acute Radiation Syndrome Based on Blood Cell Count Changes-The H-module App

Treatment regimens for acute radiation syndrome have been improved over the past years. The application of appropriate therapy relies on rapid and high-throughput tests ideally conducted in the first 3 d after a radiation exposure event. We have examined the utility of blood cell counts (BCCs) 3 d post irradiation to predict clinical outcome for hematologic acute radiation syndrome (HARS). The BCCs and HARS severity information originated from data available in the System-for-Evaluation-and-Archiving-of-Radiation Accidents-based-on-Case-Histories (SEARCH). We found an almost complete discrimination of unexposed (HARS score H0) vs. irradiated individuals during model development and validation (negative predictive value > 94%) when using BCC data for all 3 d. We also found that BCC data increased the correct prediction of exposed individuals from day 1 to day 3. We developed spreadsheets to calculate the likelihood of correct diagnoses of the worried-well, requirement of hospitalization (HARS 2-4), or development of severe hematopoietic syndrome (HARS 3-4). In two table-top exercises, we found the spreadsheets were confusing and cumbersome, so we converted the spreadsheets into a smartphone application, named the H-module App, designed for ease of use, wider dissemination, and accommodation of co-morbidities in the HARS severity prediction algorithm.

CONTRIBUTION OF BIODOSIMETRY TO DIFFERENT MEDICAL ISSUES

Biodosimetry is a well-established field in science as well as diagnostics and is essential in various areas of application such as dose reconstruction after an accidental radiation exposure. However, depending on the medical issue the purpose of biodosimetry might differ. In this presentation, we will discuss about the contribution of biodosimetry regarding three medical subjects such as (i) diagnosis of acute effects after ionising radiation (Acute Radiation Syndrome), (ii) impact in the field of conventional and molecular epidemiology and (iii) occupational medicine.

CLINICAL TRIAGE OF RADIATION CASUALTIES-THE HEMATOLOGICAL MODULE OF THE BUNDESWEHR INSTITUTE OF RADIOBIOLOGY

Novel treatment regimens for therapy of the acute radiation syndrome (ARS) were developed over the last years. Their application relies on an early and high-throughput diagnosis. Based on the database SEARCH a new scientific triage tool (called H-module) was developed for early prediction of the later developing ARS. Based on peripheral blood cell counts measured within the first three days after a radiation exposure a prediction of the H-ARS severity (as well as therapeutic recommendations) can be performed with this tool. The H-module was tested within two table top exercises. Contributors were either radiation experts or radiobiology students and the required patient data were generated from real case histories. The H-module proved to be an easy to train and easy to use precise and promising new tool to assist and guide the treating physician in a large-scale radiation scenario. An introduction into this new tool and other diagnostic tools will be provided in the context of a NATO-teaching class in October/November 2019 in Paris.