Validation of Convolutional Neural Networks for Fast Determination of Whole-Body Metabolic Tumor Burden in Pediatric Lymphoma.

18F-FDG PET/CT quantification of whole-body tumor burden in lymphoma is not routinely performed because of the lack of fast methods. Although the semiautomatic method is fast, it is not fast enough to quantify tumor burden in daily clinical practice. Our purpose was to evaluate the performance of convolutional neural network (CNN) software in localizing neoplastic lesions in whole-body 18F-FDG PET/CT images of pediatric lymphoma patients. Methods: The retrospective image dataset, derived from the data pool of the International Atomic Energy Agency (coordinated research project E12017), included 102 baseline staging 18F-FDG PET/CT studies of pediatric lymphoma patients (mean age, 11 y). The images were quantified to determine the whole-body tumor burden (whole-body metabolic tumor volume [wbMTV] and whole-body total lesion glycolysis [wbTLG]) using semiautomatic software and CNN-based software. Both were displayed as semiautomatic wbMTV and wbTLG and as CNN wbMTV and wbTLG. The intraclass correlation coefficient (ICC) was applied to evaluate concordance between the CNN-based software and the semiautomatic software. Results: Twenty-six patients were excluded from the analysis because the software was unable to perform calculations for them. In the remaining 76 patients, CNN and semiautomatic wbMTV tumor burden metrics correlated strongly (ICC, 0.993; 95% CI, 0.989 - 0.996; P < 0.0001), as did CNN and semiautomatic wbTLG (ICC, 0.999; 95% CI, 0.998-0.999; P < 0.0001). However, the time spent calculating these metrics was significantly (<0.0001) less by CNN (mean, 19 s; range, 11-50 s) than by the semiautomatic method (mean, 21.6 min; range, 3.2-62.1 min), especially in patients with advanced disease. Conclusion: Determining whole-body tumor burden in pediatric lymphoma patients using CNN is fast and feasible in clinical practice.

Impact of COVID-19 on Nuclear Medicine in Asia.

Coronavirus disease 2019 (COVID-19) was first detected in China in late 2019 and rapidly spread to nearby Asian countries in early 2020. Outbreaks occurred differently in each country and affected nuclear medicine (NM) practice significantly even before the COVID-19 pandemic. The Asian NM community has worked together from the beginning of the pandemic. Fortunately, the Asian Regional Cooperative Council for Nuclear Medicine annual general meeting and Asia Nuclear Medicine Board examination was held in Manila from January 28 to February 2, 2020; these were the last face-to-face events of these organizations to date. Members shared information about COVID-19 at the conference, and through online means afterwards. Web-based surveys performed from March to April 2020 for the Asian Regional Cooperative Council for Nuclear Medicine and Asia Nuclear Medicine Board communities showed a significant reduction of NM practice and supply of radioisotopes (RI) at the beginning of the COVID-19 pandemic. A follow-up survey in March to April 2021 clearly showed the recovery of both NM practice and RI supplies. The pattern of recovery is variable according to institutions and countries. Herein, we have reported the case-in-point operational histories of four representative institutions in the East, Southeast, South, and West Asia. The second outbreak in India is ongoing on a worrisome scale. Various communications and educational sessions were actively performed online in the Asian NM community during the pandemic.

IAEA programs in empowering the nuclear medicine profession through online educational resources.

The International Atomic Energy Agency's (IAEA) programme in human health aims to enhance the capabilities in Member States to address needs related to the prevention, diagnosis, and treatment of diseases through the application of nuclear techniques. It has the specific mission of fostering the application of nuclear medicine techniques as part of the clinical management of certain types of diseases. Attuned to the continuous evolution of this specialty as well as to the advancement and diversity of methods in delivering capacity building efforts in this digital age, the section of nuclear medicine of the IAEA has enhanced its program by incorporating online educational resources for nuclear medicine professionals into its repertoire of projects to further its commitment in addressing the needs of its Member States in the field of nuclear medicine. Through online educational resources such as the Human Health Campus website, e-learning modules, and scheduled interactive webinars, a validation of the commitment by the IAEA in addressing the needs of its Member States in the field of nuclear medicine is strengthened while utilizing the advanced internet and communications technology which is progressively becoming available worldwide. The Human Health Campus (www.humanhealth.iaea.org) is the online educational resources initiative of the Division of Human Health of the IAEA geared toward enhancing professional knowledge of health professionals in radiation medicine (nuclear medicine and diagnostic imaging, radiation oncology, and medical radiation physics), and nutrition. E-learning modules provide an interactive learning environment to its users while providing immediate feedback for each task accomplished. Webinars, unlike webcasts, offer the opportunity of enhanced interaction with the learners facilitated through slide shows where the presenter guides and engages the audience using video and live streaming. This paper explores the IAEA's available online educational resources programs geared toward the enhancement of the nuclear medicine profession as delivered by the section of nuclear medicine of the IAEA.