The International Society of Radiology (ISR) has released a white paper that outlines its inception in 1925 and its first congress, as well as its ongoing educational and safety efforts.
The paper describes the first congress, which addressed concerns that there was no reliable way to measure patients' radiation exposure other than assessing the degree of skin erythema. A second congress held in Stockholm in 1928 led to the establishment of the International Commission on Radiation Units and Measurements and the International Commission on Radiological Protection.
The ISR was officially incorporated in 1995, and the society acts as a convener of and facilitator for continental, regional, and national quality and safety campaigns in radiation protection, it said. It established the ISR Quality and Safety Alliance (ISRQSA), which includes the following partners:
- AfroSafe
- ArabSafe
- Canada Safe Imaging
- EuroSafe Imaging
- Image Gently
- Image Wisely
- Japan Safe Imaging
- Lat inSafe
The society also works with the World Health Organization (WHO), the International Atomic Energy Agency (IAEA), the International Council on Radiation Protection (ICRP), the International Society of Radiographers and Radiological Technologists (ISRRT), and the International Organization for Medical Physics (IOMP).
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)