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3 articles for “Personalized Radionuclide Therapy”
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Comparative Study of Dosimetry Methodology and Software Tools for Personalized Radionuclide Therapy
Abstract: Purpose: The aim of this review article is to collate the detailed insight of different dosimetry methodology and non-commercial /commercial dosimetry software tools, along with clinical study explored by specific authors, published in recent peer-review journals. The present work is segmented in three sections: i) Literature review of various dosimetry methodologies to evaluate absorbed dose in personalized radionuclide/ radiopharmaceutical therapy. ii) Technical as well as comparative information related to commercial …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 3, 2021 · pp. 9–27 Read article
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MIRDcalc & OLINDA/EXM Dosimetry Software Analysis by SPECT/CT Scan Data of Lu-177 DOTATATE Radionuclide Therapy of NET Patients
Abstract: Accurate dosimetry is essential in nuclear medicine for optimizing radionuclide therapies and ensuring patient safety. In Radiopharmaceutical dosimetry the Medical Internal Radiation Dosimetry (MIRD)Society is the pioneer in organ-level dosimetry providing the fundamental basis for commonly used clinical and research dosimetry software like MIRDOSE and OLINDA/EXM. Recently, in MIRD Pamphlet No. 28, Part 1, the MIRD committee of the Society of Nuclear Medicine and Medical Imaging presented a new Software …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 48–63 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article