Inicio  /  Cancers  /  Vol: 15 Par: 22 (2023)  /  Artículo
ARTÍCULO
TITULO

Can We Predict Skeletal Lesion on Bone Scan Based on Quantitative PSMA PET/CT Features?

Riccardo Laudicella    
Matteo Bauckneht    
Alexander Maurer    
Jakob Heimer    
Antonio G. Gennari    
Tania Di Raimondo    
Gaetano Paone    
Marco Cuzzocrea    
Michael Messerli    
Daniel Eberli and Irene A. Burger    

Resumen

Treating patients for metastatic prostate cancer based on the information of PSMA-PET bears the risk to ?under- or overtreat? patients, given that many lesions seen only on PSMA-PET but not on conventional imaging (CI) could alter their management. It is not possible to predict the disease status using CI with PSMA-PET/CT, because bone lesions can be positive on bone scintigraphy (BS), without evidence of the disease on CT. Some authors suggested using clinical parameters to predict BS results, but this does not reach enough accuracy to adjust the therapy. If an algorithm based on PSMA-PET/CT data were able to predict if lesions are visible on BS, this might be a possible way to adjust patient management based on CI-based guidelines in light of PSMA-PET/CT. Therefore, we aimed to develop a model to predict the visibility of bone lesions on BS based on PSMA-PET/CT data.

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