Stereotactic body radiation therapy (SBRT) for prostate cancer: Improving treatment delivery efficiency and accuracy

Mastella, Edoardo; Epile, Joel E.; De Guglielmo, Eleonora; Fabbri, Sara; Calderoni, Francesca; Manco, Luigi; Szilagyi, Klarisa E.; Malorgio, Antonio; Turra, Alessandro; Stefanelli, Antonio

doi:10.1016/j.tipsro.2024.100253

Cited by 1 publication

(16 citation statements)

References 42 publications

(62 reference statements)

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“…Volumetric modulated arc therapy (VMAT) was planned with multiple flattening filter free (FFF) beams, generally two. More details about treatment planning are described in previously published papers [ 18 ]. Daily in-room 3D cone beam (CB) CT was required for pre-treatment patient position verification.…”

Section: Methodsmentioning

confidence: 99%

“…This is a retrospective monocenter study involving patients treated with MDT guided by 18 F-choline PET/CT between 2017 and 2020 at the Sant'Anna University Hospital of Ferrara (Italy).…”

Section: Study Population and Data Collectionmentioning

confidence: 99%

“…The inclusion criteria of this study were as follows: (a) a histologically confirmed diagnosis of PCa; (b) an age > 18 years; (c) oligorecurrent disease (up to 5 lesions), including lymph node or distant metastases at 18 F-choline PET-CT; (d) MDT guided by 18 F-choline PET-CT and delivered through SBRT within 3 months of the PET/CT scan; (e) 2 years of follow-up available after MDT. The exclusion criteria of this study were as follows: (a) s lack of clinical and/or follow-up data; (b) systemic therapy (including ADT or chemotherapy) ongoing at the administration of MDT.…”

Section: Study Population and Data Collectionmentioning

confidence: 99%

“…Circular manual regions of interest (ROIs) were drawn around the pathological findings and automatically converted in 3D volumes of interest (VOIs) by the software. Metabolic and volumetric parameters extracted from 18 F-choline PET/CT comprehended maximum and mean standardized uptake value (SUVmax and SUVmean, respectively); metabolic tumor volume (MTV), representing the tumor volume with at least 40% uptake of the SUVmax within the VOI; and total lesion choline kinase activity (TLCKa), calculated by multiplying SUVmean and MTV within the same VOI.…”

Section: F-choline Pet/ct Acquisition Protocol and Analysismentioning

confidence: 99%

“…The aim of this study was to combine clinical data with conventional and radiomic parameters extracted from 18 F-choline PET/CT to build ML Models able to predict the efficacy of MDT in oligorecurrent PCa patients.…”

Section: Introductionmentioning

confidence: 99%

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ML Models Built Using Clinical Parameters and Radiomic Features Extracted from 18F-Choline PET/CT for the Prediction of Biochemical Recurrence after Metastasis-Directed Therapy in Patients with Oligometastatic Prostate Cancer

Urso,

Cittanti,

Manco

et al. 2024

Diagnostics

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Oligometastatic patients at [18F]F-Fluorocholine (18F-choline) PET/CT may be treated with metastasis-directed therapy (MDT). The aim of this study was to combine radiomic parameters extracted from 18F-choline PET/CT and clinical data to build machine learning (ML) models able to predict MDT efficacy. Methods: Oligorecurrent patients (≤5 lesions) at 18F-choline PET/CT and treated with MDT were collected. A per-patient and per-lesion analysis was performed, using 2-year biochemical recurrence (BCR) after MDT as the standard of reference. Clinical parameters and radiomic features (RFts) extracted from 18F-choline PET/CT were used for training five ML Models for both CT and PET images. The performance metrics were calculated (i.e., Area Under the Curve—AUC; Classification Accuracy—CA). Results: A total of 46 metastases were selected and segmented in 29 patients. BCR after MDT occurred in 20 (69%) patients after 2 years of follow-up. In total, 73 and 33 robust RFTs were selected from CT and PET datasets, respectively. PET ML Models showed better performances than CT Models for discriminating BCR after MDT, with Stochastic Gradient Descent (SGD) being the best model (AUC = 0.95; CA = 0.90). Conclusion: ML Models built using clinical parameters and CT and PET RFts extracted via 18F-choline PET/CT can accurately predict BCR after MDT in oligorecurrent PCa patients. If validated externally, ML Models could improve the selection of oligorecurrent PCa patients for treatment with MDT.

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Section: Methodsmentioning

confidence: 99%

“…This is a retrospective monocenter study involving patients treated with MDT guided by 18 F-choline PET/CT between 2017 and 2020 at the Sant'Anna University Hospital of Ferrara (Italy).…”

Section: Study Population and Data Collectionmentioning

confidence: 99%

Section: Study Population and Data Collectionmentioning

confidence: 99%

Section: F-choline Pet/ct Acquisition Protocol and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

ML Models Built Using Clinical Parameters and Radiomic Features Extracted from 18F-Choline PET/CT for the Prediction of Biochemical Recurrence after Metastasis-Directed Therapy in Patients with Oligometastatic Prostate Cancer

Urso,

Cittanti,

Manco

et al. 2024

Diagnostics

Self Cite

View full text Add to dashboard Cite

show abstract

Stereotactic body radiation therapy (SBRT) for prostate cancer: Improving treatment delivery efficiency and accuracy

Cited by 1 publication

References 42 publications

ML Models Built Using Clinical Parameters and Radiomic Features Extracted from 18F-Choline PET/CT for the Prediction of Biochemical Recurrence after Metastasis-Directed Therapy in Patients with Oligometastatic Prostate Cancer

ML Models Built Using Clinical Parameters and Radiomic Features Extracted from 18F-Choline PET/CT for the Prediction of Biochemical Recurrence after Metastasis-Directed Therapy in Patients with Oligometastatic Prostate Cancer

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