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Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement

RATIONALE: Prostate cancer treatment response may be automatically quantified using a molecular imaging analysis platform targeting prostate-specific membrane antigen (PSMA). METHODS: A retrospective analysis of patients with castration-sensitive prostate cancer who underwent PSMA-targeted molecular...

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Autores principales: Duriseti, Sai, Berenji, Gholam, Tsai, Sonny, Rettig, Matthew, Nickols, Nicholas G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068685/
https://www.ncbi.nlm.nih.gov/pubmed/37009941
http://dx.doi.org/10.1186/s41824-023-00165-6
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author Duriseti, Sai
Berenji, Gholam
Tsai, Sonny
Rettig, Matthew
Nickols, Nicholas G.
author_facet Duriseti, Sai
Berenji, Gholam
Tsai, Sonny
Rettig, Matthew
Nickols, Nicholas G.
author_sort Duriseti, Sai
collection PubMed
description RATIONALE: Prostate cancer treatment response may be automatically quantified using a molecular imaging analysis platform targeting prostate-specific membrane antigen (PSMA). METHODS: A retrospective analysis of patients with castration-sensitive prostate cancer who underwent PSMA-targeted molecular imaging prior to and 3 months or more after treatment was conducted. Disease burden was analyzed with aPROMISE, an artificial intelligence imaging platform that automatically quantifies PSMA-positive lesions. The calculated PSMA scores for prostate/bed, nodal, and osseous disease sites were compared with prostate-specific antigen (PSA) values. RESULTS: Of 30 eligible patients, the median decline in prostate/bed, nodal, and osseous disease PSMA scores were 100% (range 52–100%), 100% (range − 87–100%), and 100% (range − 21–100%), respectively. PSMA score decline was significantly associated with PSA decline. CONCLUSION: Changes in aPROMISE PSMA scores are associated with changes in PSA and may quantify treatment response.
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spelling pubmed-100686852023-04-04 Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement Duriseti, Sai Berenji, Gholam Tsai, Sonny Rettig, Matthew Nickols, Nicholas G. Eur J Hybrid Imaging Original Article RATIONALE: Prostate cancer treatment response may be automatically quantified using a molecular imaging analysis platform targeting prostate-specific membrane antigen (PSMA). METHODS: A retrospective analysis of patients with castration-sensitive prostate cancer who underwent PSMA-targeted molecular imaging prior to and 3 months or more after treatment was conducted. Disease burden was analyzed with aPROMISE, an artificial intelligence imaging platform that automatically quantifies PSMA-positive lesions. The calculated PSMA scores for prostate/bed, nodal, and osseous disease sites were compared with prostate-specific antigen (PSA) values. RESULTS: Of 30 eligible patients, the median decline in prostate/bed, nodal, and osseous disease PSMA scores were 100% (range 52–100%), 100% (range − 87–100%), and 100% (range − 21–100%), respectively. PSMA score decline was significantly associated with PSA decline. CONCLUSION: Changes in aPROMISE PSMA scores are associated with changes in PSA and may quantify treatment response. Springer International Publishing 2023-04-03 /pmc/articles/PMC10068685/ /pubmed/37009941 http://dx.doi.org/10.1186/s41824-023-00165-6 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Duriseti, Sai
Berenji, Gholam
Tsai, Sonny
Rettig, Matthew
Nickols, Nicholas G.
Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement
title Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement
title_full Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement
title_fullStr Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement
title_full_unstemmed Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement
title_short Quantitative assessment of PSMA PET response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement
title_sort quantitative assessment of psma pet response to therapy in castration-sensitive prostate cancer using an automated imaging platform for disease identification and measurement
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068685/
https://www.ncbi.nlm.nih.gov/pubmed/37009941
http://dx.doi.org/10.1186/s41824-023-00165-6
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