Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy

Simon K. B. Spohn; Nina-Sophie Schmidt-Hegemann; Juri Ruf; Michael Mix; Matthias Benndorf; Fabian Bamberg; Marcus R. Makowski; Simon Kirste; Alexander Rühle; Jerome Nouvel; Tanja Sprave; Marco M. E. Vogel; Polina Galitsnaya; Jürgen E. Gschwend; Christian Gratzke; Christian G. Stief; Steffen Löck; Alex Zwanenburg; Christian Trapp; Denise Bernhardt; Stephan G. Nekolla; Minglun Li; Claus Belka; Stephanie E. Combs; Matthias Eiber; Lena M. Unterrainer; Marcus Unterrainer; Peter Bartenstein; Anca‐L. Grosu; Constantinos Zamboglou; Jan C. Peeken

doi:10.1007/s00259-023-06195-3

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Abstract

This is the first study to develop a PSMA-PET-guided CT-based radiomic model to predict BCR after sRT. The radiomic models outperformed clinical models and might contribute to guide personalized treatment decisions.

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Spohn et al. (2023) studied this question.

synapsesocial.com/papers/69db3b274e9a02dbaa68537b https://doi.org/10.1007/s00259-023-06195-3

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Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy

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Abstract

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Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy

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