The associate editors of the Journal of Nuclear Medicine Technology (JNMT) and I recently had the enjoyable challenge of selecting the outstanding articles published in the journal during 2023. Each year these awards recognize articles that constitute significant contributions to practice, education, and scientific understanding in our field and for which technologists have served as first authors. This year’s awardees represent a range of clinical techniques, innovative imaging approaches, and technologist perspectives on cutting-edge topics like artificial intelligence in the workplace. This diverse group of articles characterizes the expanding role and scope of skilled technologists in the modern molecular imaging and therapy setting.
Skyla Bamforth
Stephen Edmonds
The first-place JNMT Outstanding Article award for 2023 went to Skyla Bamforth, from the School of Health Sciences, University of Newcastle (Callaghan, Australia), and coauthors Daphne J. James, Christopher Skilton, and Anthony Smith for “Investigating a technologist-driven injection technique in lymphoscintigraphy at a single rural center: A retrospective audit” (J Nucl Med Technol. 2023:51:220–226). Second-place recognition was awarded to Stephen Edmonds, from Mercy Radiology (Auckland, NZ), and coauthors Jennifer Davidson, Rosanne Joseph, and Madhusudan Vyas for “Imaging pathway of a pediatric patient with succinate dehydrogenase B−deficient paraganglioma” (J Nucl Med Technol. 2023,51:318–322). Jaime Warren, from MedAxiom (Neptune Beach, FL), received the third-place award for “Alternative isotope options for amyloidosis imaging: A technologist’s perspective” (J Nucl Med Technol. 2023:51:117–119).
Monica Embry-Dierson
Monica Embry-Dierson, from the Norton Audubon Hospital (Louisville, KY), and coauthors Mary Beth Farrell, Eric Schockling, Jaime Warren, and Scott Jerome were the recipients of the award for Best Continuing Education Article for “Cardiac amyloidosis imaging, Part 1: Amyloidosis etiology and image acquisition (J Nucl Med Technol. 2023;51:83–89). The award for Best Educators’ Forum Article went to Geoffrey Currie and Kym Barry from Charles Sturt University (Wagga Wagga, Australia) for “Chat GPT in nuclear medicine education (J Nucl Med Technol. 2023;51:247–254).
Geoffrey Currie
Along with the associate and consulting editors of JNMT, I congratulate these awardees on their achievements, a part of the larger effort that continues to make our journal a vital resource for the larger nuclear medicine community.
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