Artikel ; Online: Future trends for patient-specific dosimetry methodology in molecular radiotherapy.
2023 Band 115, Seite(n) 103165
Abstract: Molecular radiotherapy is rapidly expanding, and new radiotherapeutics are emerging. The majority of treatments is still performed using empirical fixed activities and not tailored for individual patients. Molecular radiotherapy dosimetry is often seen ... ...
Abstract | Molecular radiotherapy is rapidly expanding, and new radiotherapeutics are emerging. The majority of treatments is still performed using empirical fixed activities and not tailored for individual patients. Molecular radiotherapy dosimetry is often seen as a promising candidate that would allow personalisation of treatments as outcome should ultimately depend on the absorbed doses delivered and not the activities administered. The field of molecular radiotherapy dosimetry has made considerable progress towards the feasibility of routine clinical dosimetry with reasonably accurate absorbed-dose estimates for a range of molecular radiotherapy dosimetry applications. A range of challenges remain with respect to the accurate quantification, assessment of time-integrated activity and absorbed dose estimation. In this review, we summarise a range of technological and methodological advancements, mainly focussed on beta-emitting molecular radiotherapeutics, that aim to improve molecular radiotherapy dosimetry to achieve accurate, reproducible, and streamlined dosimetry. We describe how these new technologies can potentially improve the often time-consuming considered process of dosimetry and provide suggestions as to what further developments might be required. |
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Mesh-Begriff(e) | Humans ; Radiotherapy Dosage ; Radiometry/methods ; Radiotherapy Planning, Computer-Assisted/methods |
Sprache | Englisch |
Erscheinungsdatum | 2023-10-24 |
Erscheinungsland | Italy |
Dokumenttyp | Journal Article ; Review |
ZDB-ID | 1122650-x |
ISSN | 1724-191X ; 1120-1797 |
ISSN (online) | 1724-191X |
ISSN | 1120-1797 |
DOI | 10.1016/j.ejmp.2023.103165 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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