Literature DB >> 31456584

Personalized kidney dosimetry in 177Lu-octreotate treatment of neuroendocrine tumours: a comparison of kidney dosimetry estimates based on a whole organ and small volume segmentations.

Xinchi Hou1, Wei Zhao, Jean-Mathieu Beauregard, Anna Celler.   

Abstract

Peptide receptor radionuclide therapy (PRRT) with 177Lu- radiolabeled octreotate is an effective treatment method for inoperable neuroendocrine tumours (NETs). There is growing evidence that estimates of the organ-at-risks (OARs) doses are necessary for the optimization of personalized PRRT (P-PRRT). Dosimetry, however, requires a complicated and time-consuming procedure, which hinders its implementation in the clinic. The aim of this study is to develop a practical and automatic technique to simplify personalized dosimetry of kidney, the major OAR in 177Lu P-PRRT. The data from 30 NETs patients undergoing 44 personalized 177Lu-DOTA-TATE therapy cycles were analyzed. To determine the biokinetics of the radiopharmaceutical in the kidneys, for each patient three SPECT/CT scans were acquired, at about 4 h, 24 h and 70 h after injection. The kidneys doses were evaluated using three different approaches: (1) a traditional approach based on whole kidney (WK) segmentation; (2) a small volume (SV) manual approach (M-SV) with observer-defined SV location; and (3) a software based SV-approach that automatically defines SV location (A-SV). Four different methods of automatic SV location selections were investigated. The SV kidney doses estimated using M-SV and A-SV approaches was evaluated and the accuracy of these two approaches were compared to the WK dosimetry. The kidney bio-kinetics, in terms of effective half-lives, obtained from both of the A-SV and M-SV approaches agreed to within 10% with those obtained from the WK segmentation. The average ratios of SV doses to WK doses were mostly about 1.8  ±  0.2 for both A-SV and M-SV approaches. The linear correlation coefficients between SV doses (both A-SV and M-SV) and WK doses were up to 0.9 with p   <  0.001. The differences between A-SV and M-SV were minor. By comparing different methods of SV location selections, independently selecting SV in images from each of the acquisitions was proved the most appropriate and accurate approach. An automatic, observer-independent method for selecting the location of the small volume in kidneys was developed. The accuracy of this dose estimation approach has been demonstrated by comparing it with the manual SV dosimetry, as well as the WK dosimetry. The proposed automatic approach can potentially be considered as a practical and simple method for dose estimation in the future clinical studies.

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Year:  2019        PMID: 31456584     DOI: 10.1088/1361-6560/ab32a1

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Deep-Learning Generation of Synthetic Intermediate Projections Improves 177Lu SPECT Images Reconstructed with Sparsely Acquired Projections.

Authors:  Tobias Rydén; Martijn Van Essen; Ida Marin; Johanna Svensson; Peter Bernhardt
Journal:  J Nucl Med       Date:  2020-08-28       Impact factor: 10.057

2.  Feasibility of Single-Time-Point Dosimetry for Radiopharmaceutical Therapies.

Authors:  Xinchi Hou; Julia Brosch; Carlos Uribe; Alessandro Desy; Guido Böning; Jean-Mathieu Beauregard; Anna Celler; Arman Rahmim
Journal:  J Nucl Med       Date:  2020-10-30       Impact factor: 10.057

3.  Nephrotoxicity after radionuclide therapies.

Authors:  Ashwin Singh Parihar; Sejal Chopra; Vikas Prasad
Journal:  Transl Oncol       Date:  2021-11-27       Impact factor: 4.243

4.  Impact of cyclic changes in pharmacokinetics and absorbed dose in pediatric neuroblastoma patients receiving [177Lu]Lu-DOTATATE.

Authors:  Javian C Malcolm; Nadia Falzone; Jennifer E Gains; Matthew D Aldridge; David Mirando; Boon Q Lee; Mark N Gaze; Katherine A Vallis
Journal:  EJNMMI Phys       Date:  2022-03-28

5.  EANM dosimetry committee recommendations for dosimetry of 177Lu-labelled somatostatin-receptor- and PSMA-targeting ligands.

Authors:  Katarina Sjögreen Gleisner; Nicolas Chouin; Pablo Minguez Gabina; Francesco Cicone; Silvano Gnesin; Caroline Stokke; Mark Konijnenberg; Marta Cremonesi; Frederik A Verburg; Peter Bernhardt; Uta Eberlein; Jonathan Gear
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-03-14       Impact factor: 10.057

Review 6.  Individualization of Radionuclide Therapies: Challenges and Prospects.

Authors:  Hanna Piwowarska-Bilska; Sara Kurkowska; Bozena Birkenfeld
Journal:  Cancers (Basel)       Date:  2022-07-14       Impact factor: 6.575

  6 in total

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