Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy
Purpose: Early positron emission tomography–derived metrics post–oligometastasis radioablation may predict impending local relapses (LRs), providing a basis for a timely ablation. Methods and Materials: Positron emission tomography data of 623 lesions treated with either 24 Gy single-dose radiation...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Advances in Radiation Oncology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2452109421002220 |
| _version_ | 1828898251730845696 |
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| author | Carlo Greco, MD Oriol Pares, MD Nuno Pimentel, MD Vasco Louro, MD Javier Morales, MD Beatriz Nunes, MD Inês Antunes, MD Ana Luisa Vasconcelos, MD Justyna Kociolek, MD Joana Castanheira, MD Carla Oliveira, MD Angelo Silva, MD Sofia Vaz, MD Francisco Oliveira, PhD Eunice Carrasquinha, PhD Durval Costa, MD Zvi Fuks, MD |
| author_facet | Carlo Greco, MD Oriol Pares, MD Nuno Pimentel, MD Vasco Louro, MD Javier Morales, MD Beatriz Nunes, MD Inês Antunes, MD Ana Luisa Vasconcelos, MD Justyna Kociolek, MD Joana Castanheira, MD Carla Oliveira, MD Angelo Silva, MD Sofia Vaz, MD Francisco Oliveira, PhD Eunice Carrasquinha, PhD Durval Costa, MD Zvi Fuks, MD |
| author_sort | Carlo Greco, MD |
| collection | DOAJ |
| description | Purpose: Early positron emission tomography–derived metrics post–oligometastasis radioablation may predict impending local relapses (LRs), providing a basis for a timely ablation. Methods and Materials: Positron emission tomography data of 623 lesions treated with either 24 Gy single-dose radiation therapy (SDRT) (n = 475) or 3 × 9 Gy stereotactic body radiation therapy (SBRT) (n = 148) were analyzed in a training data set (n = 246) to obtain optimal cutoffs for pretreatment maximum standardized uptake value (SUVmax) and its 3-month posttreatment decline (ΔSUVmax) in predicting LR risk, validated in a data set unseen to testing (n = 377). Results: At a median of 21.7 months, 91 lesions developed LRs: 39 of 475 (8.2%) after SDRT and 52 of 148 (35.1%) after SBRT. The optimal cutoff values were 12 for SUVmax and –75% for ΔSUVmax. Bivariate SUVmax/ΔSUVmax permutations rendered a 3-tiered LR risk stratification of dual-favorable (low risk), 1 adverse (intermediate risk) and dual-adverse (high risk). Actuarial 5-year local relapse-free survival rates were 93.9% versus 89.6% versus 57.1% (P < .0001) and 76.1% versus 48.3% versus 8.2% (P < .0001) for SDRT and SBRT, respectively. The SBRT area under the ROC curve was 0.71 (95% CI, 0.61-0.79) and the high-risk subgroup yielded a 76.5% true positive LR prediction rate. Conclusions: The SBRT dual-adverse SUVmax/ΔSUVmax category LR prediction power provides a basis for prospective studies testing whether a timely ablation of impending LRs affects oligometastasis outcomes. |
| first_indexed | 2024-12-13T15:11:12Z |
| format | Article |
| id | doaj.art-c14d535e66304b1bae6dc2432c8aeb8e |
| institution | Directory Open Access Journal |
| issn | 2452-1094 |
| language | English |
| last_indexed | 2024-12-13T15:11:12Z |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Advances in Radiation Oncology |
| spelling | doaj.art-c14d535e66304b1bae6dc2432c8aeb8e2022-12-21T23:40:51ZengElsevierAdvances in Radiation Oncology2452-10942022-03-0172100864Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation TherapyCarlo Greco, MD0Oriol Pares, MD1Nuno Pimentel, MD2Vasco Louro, MD3Javier Morales, MD4Beatriz Nunes, MD5Inês Antunes, MD6Ana Luisa Vasconcelos, MD7Justyna Kociolek, MD8Joana Castanheira, MD9Carla Oliveira, MD10Angelo Silva, MD11Sofia Vaz, MD12Francisco Oliveira, PhD13Eunice Carrasquinha, PhD14Durval Costa, MD15Zvi Fuks, MD16Department of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, Portugal; Corresponding author: Carlo Greco, MDDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Nuclear Medicine-Radiopharmacology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Nuclear Medicine-Radiopharmacology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Nuclear Medicine-Radiopharmacology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Nuclear Medicine-Radiopharmacology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Nuclear Medicine-Radiopharmacology, Champalimaud Centre for the Unknown, Lisbon, PortugalComputational Clinical Imaging Group, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Nuclear Medicine-Radiopharmacology, Champalimaud Centre for the Unknown, Lisbon, PortugalDepartment of Radiation Oncology, Champalimaud Centre for the Unknown, Lisbon, Portugal; Memorial Sloan Kettering Cancer Center, New York, New YorkPurpose: Early positron emission tomography–derived metrics post–oligometastasis radioablation may predict impending local relapses (LRs), providing a basis for a timely ablation. Methods and Materials: Positron emission tomography data of 623 lesions treated with either 24 Gy single-dose radiation therapy (SDRT) (n = 475) or 3 × 9 Gy stereotactic body radiation therapy (SBRT) (n = 148) were analyzed in a training data set (n = 246) to obtain optimal cutoffs for pretreatment maximum standardized uptake value (SUVmax) and its 3-month posttreatment decline (ΔSUVmax) in predicting LR risk, validated in a data set unseen to testing (n = 377). Results: At a median of 21.7 months, 91 lesions developed LRs: 39 of 475 (8.2%) after SDRT and 52 of 148 (35.1%) after SBRT. The optimal cutoff values were 12 for SUVmax and –75% for ΔSUVmax. Bivariate SUVmax/ΔSUVmax permutations rendered a 3-tiered LR risk stratification of dual-favorable (low risk), 1 adverse (intermediate risk) and dual-adverse (high risk). Actuarial 5-year local relapse-free survival rates were 93.9% versus 89.6% versus 57.1% (P < .0001) and 76.1% versus 48.3% versus 8.2% (P < .0001) for SDRT and SBRT, respectively. The SBRT area under the ROC curve was 0.71 (95% CI, 0.61-0.79) and the high-risk subgroup yielded a 76.5% true positive LR prediction rate. Conclusions: The SBRT dual-adverse SUVmax/ΔSUVmax category LR prediction power provides a basis for prospective studies testing whether a timely ablation of impending LRs affects oligometastasis outcomes.http://www.sciencedirect.com/science/article/pii/S2452109421002220 |
| spellingShingle | Carlo Greco, MD Oriol Pares, MD Nuno Pimentel, MD Vasco Louro, MD Javier Morales, MD Beatriz Nunes, MD Inês Antunes, MD Ana Luisa Vasconcelos, MD Justyna Kociolek, MD Joana Castanheira, MD Carla Oliveira, MD Angelo Silva, MD Sofia Vaz, MD Francisco Oliveira, PhD Eunice Carrasquinha, PhD Durval Costa, MD Zvi Fuks, MD Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy Advances in Radiation Oncology |
| title | Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy |
| title_full | Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy |
| title_fullStr | Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy |
| title_full_unstemmed | Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy |
| title_short | Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy |
| title_sort | positron emission tomography derived metrics predict the probability of local relapse after oligometastasis directed ablative radiation therapy |
| url | http://www.sciencedirect.com/science/article/pii/S2452109421002220 |
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