دورية أكاديمية
Can We Predict Skeletal Lesion on Bone Scan Based on Quantitative PSMA PET/CT Features?
| العنوان: | Can We Predict Skeletal Lesion on Bone Scan Based on Quantitative PSMA PET/CT Features? |
|---|---|
| المؤلفون: | Laudicella, Riccardo, Bauckneht, Matteo, Maurer, Alexander, Heimer, Jakob, Gennari, Antonio G., Di Raimondo, Tania, Paone, Gaetano, Cuzzocrea, Marco, Messerli, Michael, Eberli, Daniel, Burger, Irene A. |
| المصدر: | Cancers, 15 (22) |
| بيانات النشر: | MDPI |
| سنة النشر: | 2023 |
| المجموعة: | ETH Zürich Research Collection |
| مصطلحات موضوعية: | generalized linear mixed model, prediction, prostate cancer, staging, PSMA PET |
| الوصف: | Objective: The increasing use of PSMA-PET/CT for restaging prostate cancer (PCa) leads to a patient shift from a non-metastatic situation based on conventional imaging (CI) to a metastatic situation. Since established therapeutic pathways have been designed according to CI, it is unclear how this should be translated to the PSMA-PET/CT results. This study aimed to investigate whether PSMA-PET/CT and clinical parameters could predict the visibility of PSMA-positive lesions on a bone scan (BS). Methods: In four different centers, all PCa patients with BS and PSMA-PET/CT within 6 months without any change in therapy or significant disease progression were retrospectively selected. Up to 10 non-confluent clear bone metastases were selected per PSMA-PET/CT and SUVmax, SUVmean, PSMAtot, PSMAvol, density, diameter on CT, and presence of cortical erosion were collected. Clinical variables (age, PSA, Gleason Score) were also considered. Two experienced double-board physicians decided whether a bone metastasis was visible on the BS, with a consensus readout for discordant findings. For predictive performance, a random forest was fit on all available predictors, and its accuracy was assessed using 10-fold cross-validation performed 10 times. Results: A total of 43 patients were identified with 222 bone lesions on PSMA-PET/CT. A total of 129 (58.1%) lesions were visible on the BS. In the univariate analysis, all PSMA-PET/CT parameters were significantly associated with the visibility on the BS (p < 0.001). The random forest reached a mean accuracy of 77.6% in a 10-fold cross-validation. Conclusions: These preliminary results indicate that there might be a way to predict the BS results based on PSMA-PET/CT, potentially improving the comparability between both examinations and supporting decisions for therapy selection. ; ISSN:2072-6694 |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/application/pdf |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/wos/001119562200001; http://hdl.handle.net/20.500.11850/646207Test |
| DOI: | 10.3929/ethz-b-000646207 |
| الإتاحة: | https://doi.org/20.500.11850/646207Test https://doi.org/10.3929/ethz-b-000646207Test https://doi.org/10.3390/cancers15225471Test https://hdl.handle.net/20.500.11850/646207Test |
| حقوق: | info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0Test/ ; Creative Commons Attribution 4.0 International |
| رقم الانضمام: | edsbas.798CBC |
| قاعدة البيانات: | BASE |
| DOI: | 10.3929/ethz-b-000646207 |
|---|