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Louis T, Lucia F, Cousin F, Mievis C, Jansen N, Duysinx B, Le Pennec R, Visvikis D, Nebbache M, Rehn M, Hamya M, Geier M, Salaun PY, Schick U, Hatt M, Coucke P, Lovinfosse P, Hustinx R. Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence. Sci Rep 2024; 14:9028. [PMID: 38641673 PMCID: PMC11031577 DOI: 10.1038/s41598-024-58551-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/01/2024] [Indexed: 04/21/2024] Open
Abstract
The primary objective of the present study was to identify a subset of radiomic features extracted from primary tumor imaged by computed tomography of early-stage non-small cell lung cancer patients, which remain unaffected by variations in segmentation quality and in computed tomography image acquisition protocol. The robustness of these features to segmentation variations was assessed by analyzing the correlation of feature values extracted from lesion volumes delineated by two annotators. The robustness to variations in acquisition protocol was evaluated by examining the correlation of features extracted from high-dose and low-dose computed tomography scans, both of which were acquired for each patient as part of the stereotactic body radiotherapy planning process. Among 106 radiomic features considered, 21 were identified as robust. An analysis including univariate and multivariate assessments was subsequently conducted to estimate the predictive performance of these robust features on the outcome of early-stage non-small cell lung cancer patients treated with stereotactic body radiation therapy. The univariate predictive analysis revealed that robust features demonstrated superior predictive potential compared to non-robust features. The multivariate analysis indicated that linear regression models built with robust features displayed greater generalization capabilities by outperforming other models in predicting the outcomes of an external validation dataset.
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Affiliation(s)
- Thomas Louis
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
| | - François Lucia
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
- Radiation Oncology Department, University Hospital of Brest, Brest, France.
- LaTIM, INSERM, UMR 1101, University of Brest, Brest, France.
| | - François Cousin
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Carole Mievis
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Nicolas Jansen
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Bernard Duysinx
- Division of Pulmonology, University Hospital of Liège, Liège, Belgium
| | - Romain Le Pennec
- Nuclear Medicine Department, University Hospital of Brest, Brest, France
- GETBO INSERM UMR 1304, University of Brest, UBO, Brest, France
| | | | - Malik Nebbache
- Radiation Oncology Department, University Hospital of Brest, Brest, France
| | - Martin Rehn
- Radiation Oncology Department, University Hospital of Brest, Brest, France
| | - Mohamed Hamya
- Radiation Oncology Department, University Hospital of Brest, Brest, France
| | - Margaux Geier
- Medical Oncology Department, University Hospital of Brest, Brest, France
| | - Pierre-Yves Salaun
- Nuclear Medicine Department, University Hospital of Brest, Brest, France
- GETBO INSERM UMR 1304, University of Brest, UBO, Brest, France
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital of Brest, Brest, France
- LaTIM, INSERM, UMR 1101, University of Brest, Brest, France
| | - Mathieu Hatt
- LaTIM, INSERM, UMR 1101, University of Brest, Brest, France
| | - Philippe Coucke
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Pierre Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
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Cao YH, Bourbonne V, Lucia F, Schick U, Bert J, Jaouen V, Visvikis D. CT respiratory motion synthesis using joint supervised and adversarial learning. Phys Med Biol 2024; 69:095001. [PMID: 38537289 DOI: 10.1088/1361-6560/ad388a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/27/2024] [Indexed: 04/16/2024]
Abstract
Objective.Four-dimensional computed tomography (4DCT) imaging consists in reconstructing a CT acquisition into multiple phases to track internal organ and tumor motion. It is commonly used in radiotherapy treatment planning to establish planning target volumes. However, 4DCT increases protocol complexity, may not align with patient breathing during treatment, and lead to higher radiation delivery.Approach.In this study, we propose a deep synthesis method to generate pseudo respiratory CT phases from static images for motion-aware treatment planning. The model produces patient-specific deformation vector fields (DVFs) by conditioning synthesis on external patient surface-based estimation, mimicking respiratory monitoring devices. A key methodological contribution is to encourage DVF realism through supervised DVF training while using an adversarial term jointly not only on the warped image but also on the magnitude of the DVF itself. This way, we avoid excessive smoothness typically obtained through deep unsupervised learning, and encourage correlations with the respiratory amplitude.Main results.Performance is evaluated using real 4DCT acquisitions with smaller tumor volumes than previously reported. Results demonstrate for the first time that the generated pseudo-respiratory CT phases can capture organ and tumor motion with similar accuracy to repeated 4DCT scans of the same patient. Mean inter-scans tumor center-of-mass distances and Dice similarity coefficients were 1.97 mm and 0.63, respectively, for real 4DCT phases and 2.35 mm and 0.71 for synthetic phases, and compares favorably to a state-of-the-art technique (RMSim).Significance.This study presents a deep image synthesis method that addresses the limitations of conventional 4DCT by generating pseudo-respiratory CT phases from static images. Although further studies are needed to assess the dosimetric impact of the proposed method, this approach has the potential to reduce radiation exposure in radiotherapy treatment planning while maintaining accurate motion representation. Our training and testing code can be found athttps://github.com/cyiheng/Dynagan.
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Affiliation(s)
- Y-H Cao
- LaTIM, UMR Inserm 1101, Université de Bretagne Occidentale, IMT Atlantique, Brest, France
| | - V Bourbonne
- LaTIM, UMR Inserm 1101, Université de Bretagne Occidentale, IMT Atlantique, Brest, France
- CHRU Brest University Hospital, Brest, France
| | - F Lucia
- LaTIM, UMR Inserm 1101, Université de Bretagne Occidentale, IMT Atlantique, Brest, France
- CHRU Brest University Hospital, Brest, France
| | - U Schick
- LaTIM, UMR Inserm 1101, Université de Bretagne Occidentale, IMT Atlantique, Brest, France
- CHRU Brest University Hospital, Brest, France
| | - J Bert
- LaTIM, UMR Inserm 1101, Université de Bretagne Occidentale, IMT Atlantique, Brest, France
- CHRU Brest University Hospital, Brest, France
| | - V Jaouen
- LaTIM, UMR Inserm 1101, Université de Bretagne Occidentale, IMT Atlantique, Brest, France
- IMT Atlantique, Brest, France
| | - D Visvikis
- LaTIM, UMR Inserm 1101, Université de Bretagne Occidentale, IMT Atlantique, Brest, France
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Berthet C, Lucia F, Bourbonne V, Schick U, Lecouillard I, Le Deroff C, Barateau A, de Crevoisier R, Castelli J. The dosimetric parameters impact on local recurrence in stereotactic radiotherapy for brain metastases. Br J Radiol 2024; 97:820-827. [PMID: 38377402 PMCID: PMC11025672 DOI: 10.1093/bjr/tqae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 11/15/2023] [Accepted: 01/30/2024] [Indexed: 02/22/2024] Open
Abstract
OBJECTIVES Stereotactic radiotherapy (SRT) for brain metastases (BM) allows very good local control (LC). However, approximately 20%-30% of these lesions will recur. The objective of this retrospective study was to evaluate the impact of dosimetric parameters on LC in cerebral SRT. METHODS Patients treated with SRT for 1-3 BM between January 2015 and December 2018 were retrospectively included. A total of 349 patients with 538 lesions were included. The median gross tumour volume (GTV) was 2 cm3 (IQR, 0-7). The median biological effective dose with α/β = 10 (BED10) was 60 Gy (IQR, 32-82). The median prescription isodose was 71% (IQR, 70-80). Correlations with LC were examined using the Cox regression model. RESULTS The median follow-up period was 55 months (min-max, 7-85). Median overall survival was 17.8 months (IQR, 15.2-21.9). There were 95 recurrences and LC at 1 and 2 years was 87.1% (95% CI, 84-90) and 78.1% (95% CI, 73.9-82.4), respectively. Univariate analysis showed that systemic treatment, dose to 2% and 50% of the planning target volume (PTV), BED10 > 50 Gy, and low PTV and GTV volume were significantly correlated with better LC. In the multivariate analysis, GTV volume, isodose, and BED10 were significantly associated with LC. CONCLUSION These results show the importance of a BED10 > 50 Gy associated with a prescription isodose <80% to optimize LC during SRT for BM. ADVANCES IN KNOWLEDGE Isodose, BED, and GTV volume were significantly associated with LC. A low isodose improves LC without increasing the risk of radionecrosis.
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Affiliation(s)
- Camille Berthet
- Radiation Oncology Department, CLCC Eugene Marquis, Rennes, 35000, France
| | - François Lucia
- Radiation Oncology Department, University Hospital, Brest, 29200, France
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, Brest, 29200, France
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, Brest, 29200, France
| | | | - Coralie Le Deroff
- Radiation Oncology Department, CLCC Eugene Marquis, Rennes, 35000, France
| | - Anais Barateau
- Radiation Oncology Department, CLCC Eugene Marquis, Rennes, 35000, France
- Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI – UMR 1099, Rennes, 35000, France
| | - Renaud de Crevoisier
- Radiation Oncology Department, CLCC Eugene Marquis, Rennes, 35000, France
- Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI – UMR 1099, Rennes, 35000, France
| | - Joel Castelli
- Radiation Oncology Department, CLCC Eugene Marquis, Rennes, 35000, France
- Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI – UMR 1099, Rennes, 35000, France
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Lucia F, Bourhis D, Pinot F, Hamya M, Goasduff G, Blanc-Béguin F, Hennebicq S, Mauguen M, Kerleguer K, Schick U, Consigny M, Pradier O, Le Gal G, Salaun PY, Bourbonne V, Le Roux PY. Prediction of Acute Radiation-Induced Lung Toxicity After Stereotactic Body Radiation Therapy Using Dose-Volume Parameters From Functional Mapping on Gallium 68 Perfusion Positron Emission Tomography/Computed Tomography. Int J Radiat Oncol Biol Phys 2024; 118:952-962. [PMID: 37875246 DOI: 10.1016/j.ijrobp.2023.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/27/2023] [Accepted: 10/04/2023] [Indexed: 10/26/2023]
Abstract
PURPOSE The aim of this work was to compare anatomic and functional dose-volume parameters as predictors of acute radiation-induced lung toxicity (RILT) in patients with lung tumors treated with stereotactic body radiation therapy. METHODS AND MATERIALS Fifty-nine patients treated with stereotactic body radiation therapy were prospectively included. All patients underwent gallium 68 lung perfusion positron emission tomography (PET)/computed tomography (CT) imaging before treatment. Mean lung dose (MLD) and volumes receiving x Gy (VxGy, 5-30 Gy) were calculated in 5 lung volumes: the conventional anatomic volume (AV) delineated on CT images, 3 lung functional volumes (FVs) defined on lung perfusion PET imaging (FV50%, FV70%, and FV90%; ie, the minimal volume containing 50%, 70%, and 90% of the total activity within the AV), and a low FV (LFV; LFV = AV - FV90%). The primary endpoint of this analysis was grade ≥2 acute RILT at 3 months as assessed with National Cancer Institute Common Terminology Criteria for Adverse Events version 5. Dose-volume parameters in patients with and without acute RILT were compared. Receiver operating characteristic curves assessing the ability of dose-volume parameters to discriminate between patients with and without acute RILT were generated, and area under the curve (AUC) values were calculated. RESULTS Of the 59 patients, 10 (17%) had grade ≥2 acute RILT. The MLD and the VxGy in the AV and LFV were not statistically different between patients with and without acute RILT (P > .05). All functional parameters were significantly higher in acute RILT patients (P < .05). AUC values (95% CI) for MLD AV, LFV, FV50%, FV70%, and FV90% were 0.66 (0.46-0.85), 0.60 (0.39-0.80), 0.77 (0.63-0.91), 0.77 (0.64-0.91), and 0.75 (0.58-0.91), respectively. AUC values for V20Gy AV, LFV, FV50%, FV70%, and FV90% were 0.65 (0.44-0.87), 0.64 (0.46-0.83), 0.82 (0.69-0.95), 0.81 (0.67-0.96), and 0.75 (0.57-0.94), respectively. CONCLUSIONS The predictive value of PET perfusion-based functional parameters outperforms the standard CT-based dose-volume parameters for the risk of grade ≥2 acute RILT. Functional parameters could be useful for guiding radiation therapy planning and reducing the risk of acute RILT.
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Affiliation(s)
- François Lucia
- Radiation Oncology Department, University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, Brest, France.
| | - David Bourhis
- Service de Médecine Nucléaire, CHRU de Brest, Brest, France
| | - Fanny Pinot
- Service de Médecine Nucléaire, CHRU de Brest, Brest, France
| | - Mohamed Hamya
- LaTIM, INSERM, UMR 1101, University of Brest, Brest, France
| | | | | | | | - Maëlle Mauguen
- Radiation Oncology Department, University Hospital, Brest, France
| | | | - Ulrike Schick
- Radiation Oncology Department, University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, Brest, France
| | - Maëlys Consigny
- Direction de la Recherche Clinique et de l'Innovation (DRCI), CHU Brest, Brest, France
| | - Olivier Pradier
- Radiation Oncology Department, University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, Brest, France
| | - Grégoire Le Gal
- Department of Medicine, Ottawa Hospital Research Institute at the University of Ottawa, Ottawa, Ontario, Canada; Centre d'Investigation Clinique CIC 1412, Centre Hospitalier Régional et Universitaire de Brest, Brest, France
| | - Pierre-Yves Salaun
- Service de Médecine Nucléaire, CHRU de Brest, Brest, France; GETBO, INSERM, UMR1304, Université de Bretagne Occidentale, Brest, France
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, Brest, France
| | - Pierre-Yves Le Roux
- Service de Médecine Nucléaire, CHRU de Brest, Brest, France; GETBO, INSERM, UMR1304, Université de Bretagne Occidentale, Brest, France.
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Lucia F, Louis T, Cousin F, Bourbonne V, Visvikis D, Mievis C, Jansen N, Duysinx B, Le Pennec R, Nebbache M, Rehn M, Hamya M, Geier M, Salaun PY, Schick U, Hatt M, Coucke P, Hustinx R, Lovinfosse P. Multicentric development and evaluation of [ 18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy. Eur J Nucl Med Mol Imaging 2024; 51:1097-1108. [PMID: 37987783 DOI: 10.1007/s00259-023-06510-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/03/2023] [Indexed: 11/22/2023]
Abstract
PURPOSE To develop machine learning models to predict regional and/or distant recurrence in patients with early-stage non-small cell lung cancer (ES-NSCLC) after stereotactic body radiation therapy (SBRT) using [18F]FDG PET/CT and CT radiomics combined with clinical and dosimetric parameters. METHODS We retrospectively collected 464 patients (60% for training and 40% for testing) from University Hospital of Liège and 63 patients from University Hospital of Brest (external testing set) with ES-NSCLC treated with SBRT between 2010 and 2020 and who had undergone pretreatment [18F]FDG PET/CT and planning CT. Radiomic features were extracted using the PyRadiomics toolbox®. The ComBat harmonization method was applied to reduce the batch effect between centers. Clinical, radiomic, and combined models were trained and tested using a neural network approach to predict regional and/or distant recurrence. RESULTS In the training (n = 273) and testing sets (n = 191 and n = 63), the clinical model achieved moderate performances to predict regional and/or distant recurrence with C-statistics from 0.53 to 0.59 (95% CI, 0.41, 0.67). The radiomic (original_firstorder_Entropy, original_gldm_LowGrayLevelEmphasis and original_glcm_DifferenceAverage) model achieved higher predictive ability in the training set and kept the same performance in the testing sets, with C-statistics from 0.70 to 0.78 (95% CI, 0.63, 0.88) while the combined model performs moderately well with C-statistics from 0.50 to 0.62 (95% CI, 0.37, 0.69). CONCLUSION Radiomic features extracted from pre-SBRT analog and digital [18F]FDG PET/CT outperform clinical parameters in the prediction of regional and/or distant recurrence and to discuss an adjuvant systemic treatment in ES-NSCLC. Prospective validation of our models should now be carried out.
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Affiliation(s)
- François Lucia
- Radiation Oncology Department, University Hospital, Brest, France.
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France.
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
- Service de Radiothérapie, CHRU Morvan, 2 Avenue Foch, 29609 Cedex, Brest, France.
| | - Thomas Louis
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - François Cousin
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | | | - Carole Mievis
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Nicolas Jansen
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | | | - Romain Le Pennec
- Nuclear Medicine Department, University Hospital, Brest, France
- GETBO, INSERM, UMR 1304, University of Brest, UBO, Brest, France
| | - Malik Nebbache
- Radiation Oncology Department, University Hospital, Brest, France
| | - Martin Rehn
- Radiation Oncology Department, University Hospital, Brest, France
| | - Mohamed Hamya
- Radiation Oncology Department, University Hospital, Brest, France
| | - Margaux Geier
- Medical Oncology Department, University Hospital, Brest, France
| | - Pierre-Yves Salaun
- Nuclear Medicine Department, University Hospital, Brest, France
- GETBO, INSERM, UMR 1304, University of Brest, UBO, Brest, France
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Mathieu Hatt
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Philippe Coucke
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
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Bourbonne V, Morjani M, Pradier O, Hatt M, Jaouen V, Querellou S, Visvikis D, Lucia F, Schick U. PET/CT-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non-Small Cell Lung Cancer Treated with Curative Radiotherapy. J Nucl Med 2024:jnumed.123.266749. [PMID: 38360055 DOI: 10.2967/jnumed.123.266749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/02/2024] [Indexed: 02/17/2024] Open
Abstract
In lung cancer patients, radiotherapy is associated with a increased risk of local relapse (LR) when compared with surgery but with a preferable toxicity profile. The KEAP1/NFE2L2 mutational status (MutKEAP1/NFE2L2) is significantly correlated with LR in patients treated with radiotherapy but is rarely available. Prediction of MutKEAP1/NFE2L2 with noninvasive modalities could help to further personalize each therapeutic strategy. Methods: Based on a public cohort of 770 patients, model RNA (M-RNA) was first developed using continuous gene expression levels to predict MutKEAP1/NFE2L2, resulting in a binary output. The model PET/CT (M-PET/CT) was then built to predict M-RNA binary output using PET/CT-extracted radiomics features. M-PET/CT was validated on an external cohort of 151 patients treated with curative volumetric modulated arc radiotherapy. Each model was built, internally validated, and evaluated on a separate cohort using a multilayer perceptron network approach. Results: The M-RNA resulted in a C statistic of 0.82 in the testing cohort. With a training cohort of 101 patients, the retained M-PET/CT resulted in an area under the curve of 0.90 (P < 0.001). With a probability threshold of 20% applied to the testing cohort, M-PET/CT achieved a C statistic of 0.7. The same radiomics model was validated on the volumetric modulated arc radiotherapy cohort as patients were significantly stratified on the basis of their risk of LR with a hazard ratio of 2.61 (P = 0.02). Conclusion: Our approach enables the prediction of MutKEAP1/NFE2L2 using PET/CT-extracted radiomics features and efficiently classifies patients at risk of LR in an external cohort treated with radiotherapy.
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Affiliation(s)
- Vincent Bourbonne
- Department of Radiation Oncology, University Hospital, Brest, France;
- LaTIM UMR 1101 INSERM, University Brest, Brest, France
| | - Moncef Morjani
- Department of Radiation Oncology, University Hospital, Brest, France
| | - Olivier Pradier
- Department of Radiation Oncology, University Hospital, Brest, France
- LaTIM UMR 1101 INSERM, University Brest, Brest, France
| | - Mathieu Hatt
- LaTIM UMR 1101 INSERM, University Brest, Brest, France
| | - Vincent Jaouen
- LaTIM UMR 1101 INSERM, University Brest, Brest, France
- Institut Mines-Télécom Atlantique, Brest, France
| | - Solène Querellou
- Nuclear Medicine Department, University Hospital, Brest, France; and
- Groupe d'Étude de la Thrombose Occidentale GETBO (INSERM UMR 1304), Université de Bretagne Occidentale, Brest, France
| | | | - François Lucia
- Department of Radiation Oncology, University Hospital, Brest, France
- LaTIM UMR 1101 INSERM, University Brest, Brest, France
| | - Ulrike Schick
- Department of Radiation Oncology, University Hospital, Brest, France
- LaTIM UMR 1101 INSERM, University Brest, Brest, France
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Jeganathan T, Salgues E, Schick U, Tissot V, Fournier G, Valéri A, Nguyen TA, Bourbonne V. Inter-Rater Variability of Prostate Lesion Segmentation on Multiparametric Prostate MRI. Biomedicines 2023; 11:3309. [PMID: 38137530 PMCID: PMC10741937 DOI: 10.3390/biomedicines11123309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
INTRODUCTION External radiotherapy is a major treatment for localized prostate cancer (PCa). Dose escalation to the whole prostate gland increases biochemical relapse-free survival but also acute and late toxicities. Dose escalation to the dominant index lesion (DIL) only is of growing interest. It requires a robust delineation of the DIL. In this context, we aimed to evaluate the inter-observer variability of DIL delineation. MATERIAL AND METHODS Two junior radiologists and a senior radiation oncologist delineated DILs on 64 mpMRIs of patients with histologically confirmed PCa. For each mpMRI and each reader, eight individual DIL segmentations were delineated. These delineations were blindly performed from one another and resulted from the individual analysis of the T2, apparent diffusion coefficient (ADC), b2000, and dynamic contrast enhanced (DCE) sequences, as well as the analysis of combined sequences (T2ADC, T2ADCb2000, T2ADCDCE, and T2ADCb2000DCE). Delineation variability was assessed using the DICE coefficient, Jaccard index, Hausdorff distance measure, and mean distance to agreement. RESULTS T2, ADC, T2ADC, b2000, T2 + ADC + b2000, T2 + ADC + DCE, and T2 + ADC + b2000 + DCE sequences obtained DICE coefficients of 0.51, 0.50, 0.54, 0.52, 0.54, 0.55, 0.53, respectively, which are significantly higher than the perfusion sequence alone (0.35, p < 0.001). The analysis of other similarity metrics lead to similar results. The tumor volume and PI-RADS classification were positively correlated with the DICE scores. CONCLUSION Our study showed that the contours of prostatic lesions were more reproducible on certain sequences but confirmed the great variability of prostatic contours with a maximum DICE coefficient calculated at 0.55 (joint analysis of T2, ADC, and perfusion sequences).
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Affiliation(s)
- Thibaut Jeganathan
- Radiology Department, University Hospital, 29200 Brest, France; (T.J.); (E.S.); (V.T.)
| | - Emile Salgues
- Radiology Department, University Hospital, 29200 Brest, France; (T.J.); (E.S.); (V.T.)
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, 29200 Brest, France;
- INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France; (G.F.); (A.V.); (T.-A.N.)
| | - Valentin Tissot
- Radiology Department, University Hospital, 29200 Brest, France; (T.J.); (E.S.); (V.T.)
| | - Georges Fournier
- INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France; (G.F.); (A.V.); (T.-A.N.)
- Urology Department, University Hospital, 29200 Brest, France
| | - Antoine Valéri
- INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France; (G.F.); (A.V.); (T.-A.N.)
- Urology Department, University Hospital, 29200 Brest, France
| | - Truong-An Nguyen
- INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France; (G.F.); (A.V.); (T.-A.N.)
- Urology Department, University Hospital, 29200 Brest, France
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, 29200 Brest, France;
- INSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France; (G.F.); (A.V.); (T.-A.N.)
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Bourbonne V, Morjani M, Lucia F, Hatt M, Jaouen V, Querellou S, Visvikis D, Pradier O, Schick U. PET-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non-Small Cell Lung Cancer Treated with Curative Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e7-e8. [PMID: 37786052 DOI: 10.1016/j.ijrobp.2023.06.663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiotherapy (RT) is one of the major treatment options for localized lung cancer. Either delivered in normo- or moderate/highly hypofractionated regimens, use of RT is increasing especially thanks to the development of stereotactic radiotherapy (SBRT). RT is associated with a higher risk of local relapse when compared with surgery but with a preferable toxicity profile. The KEAP1/NFE2L2 mutational status has been proven as significantly correlated with local relapse in patients treated with RT. Several (33) transcriptomic features were previously identified as dependent from the KEAP1/NFE2L2 mutational status. However, these genetic and transcriptomic tests are rarely performed because of their cost and lack of availability. Prediction of the KEAP1/NFE2L2 mutational status on non-invasive modalities such as imaging could help in further personalizing each therapeutic strategy. MATERIALS/METHODS Due to the small size of patients with both mutation status (MutKEAP1-NFE2L2) and PET/CT, a first model (RNASeq) predicting the mutation status (MutRNASeq) using the 33 previously identified transcriptomic features was developed on patients from the TCGA-LUSC, TCGA-LUAD, CPTAC-LSCC and CPTAC-LUAD cohorts (770 patients) and externally validated on the NSCLC-Radiogenomics cohort (117 patients). Narrowing the patients to those with an available PET/CT, a second model (RNAPET) was then built and internally validated to predict the previously MutRNASeq probability using PET/CT-extracted radiomics features. The RNAPET model was then validated on an external cohort of 151 patients treated with curative radiotherapy for a localized non-small cell lung cancer (VMAT cohort). For each model, features were combined using a neural network approach (Multilayer Perceptron) within a statistical software modeler. Performances were evaluated based on the ROC-features as well as decision curve analysis. RESULTS The RNASeq model resulted in a C-Index of 0.82, Sensitivity (Se) of 70.3% and Specificity (Sp) of 93.4% in the validation cohort. Regarding the PET/CT-based prediction on a training cohort of 101 patients, the retained RNAPET model resulted in an AUC of 0.90 (p < 0.001). With a probability threshold of 20% and applied to the testing cohort, the RNAPET model achieved a C-Index of 0.7 with respective Se/Sp of 60.0% and 80.9% for the prediction of the MutRNASeq. The same radiomics model was validated on the VMAT cohort as patients were significantly stratified based on their risk of locoregional (LR) relapse with a hazard ratio of 2.61 (p = 0.02). CONCLUSION Our three-step approach enables the prediction of the MutKEAP1-NFE2L2 using PET/CT-extracted radiomics features and efficiently classified patient at risk of LR relapse in an external cohort treated with radiotherapy. This first evidence should be further evaluated on larger cohorts, and implemented in LR risk prediction models.
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Affiliation(s)
- V Bourbonne
- Radiation Oncology Department, Brest University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, ISBAM, UBO, UBL, Brest, France
| | - M Morjani
- Radiation Oncology Department, Brest University Hospital, Brest, France
| | - F Lucia
- Radiation Oncology Department, Brest University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, ISBAM, UBO, UBL, Brest, France
| | - M Hatt
- LaTIM, INSERM, UMR 1101, University of Brest, ISBAM, UBO, UBL, Brest, France
| | - V Jaouen
- LaTIM, INSERM, UMR 1101, University of Brest, ISBAM, UBO, UBL, Brest, France
| | - S Querellou
- Nuclear Medicine Department, Brest University Hospital, Brest, France; Groupe d'Étude de la Thrombose Occidentale GETBO (Inserm UMR 1304), University of Western Brittany, Brest, France
| | - D Visvikis
- LaTIM, INSERM, UMR 1101, University of Brest, ISBAM, UBO, UBL, Brest, France
| | - O Pradier
- Radiation Oncology Department, Brest University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, ISBAM, UBO, UBL, Brest, France
| | - U Schick
- Radiation Oncology Department, Brest University Hospital, Brest, France; LaTIM, INSERM, UMR 1101, University of Brest, ISBAM, UBO, UBL, Brest, France
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Lucia F, Lovinfosse P, Schick U, Le Pennec R, Pradier O, Salaun PY, Hustinx R, Bourbonne V. Radiotherapy modification based on artificial intelligence and radiomics applied to ( 18F)-fluorodeoxyglucose positron emission tomography/computed tomography. Cancer Radiother 2023; 27:542-547. [PMID: 37481344 DOI: 10.1016/j.canrad.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/06/2023] [Accepted: 06/07/2023] [Indexed: 07/24/2023]
Abstract
Over the last decades, the refinement of radiation therapy techniques has been associated with an increasing interest for individualized radiation therapy with the aim of increasing or maintaining tumor control and reducing radiation toxicity. Developments in artificial intelligence (AI), particularly machine learning and deep learning, in imaging sciences, including nuclear medecine, have led to significant enthusiasm for the concept of "rapid learning health system". AI combined with radiomics applied to (18F)-fluorodeoxyglucose positron emission tomography/computed tomography ([18F]-FDG PET/CT) offers a unique opportunity for the development of predictive models that can help stratify each patient's risk and guide treatment decisions for optimal outcomes and quality of life of patients treated with radiation therapy. Here we present an overview of the current contribution of AI and radiomics-based machine learning models applied to (18F)-FDG PET/CT in the management of cancer treated by radiation therapy.
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Affiliation(s)
- F Lucia
- Radiation Oncology Department, CHU de Brest, 29200 Brest, France; LaTim, Inserm, UMR 1101, université de Brest, 29200 Brest, France; Division of Nuclear Medicine and Oncological Imaging, centre hospitalier universitaire de Liège, Liège, Belgium.
| | - P Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, centre hospitalier universitaire de Liège, Liège, Belgium
| | - U Schick
- Radiation Oncology Department, CHU de Brest, 29200 Brest, France; LaTim, Inserm, UMR 1101, université de Brest, 29200 Brest, France
| | - R Le Pennec
- Service de médecine nucléaire, CHU de Brest, Inserm UMR 1304 (Getbo), université de Bretagne Occidentale, Brest, France
| | - O Pradier
- Radiation Oncology Department, CHU de Brest, 29200 Brest, France; LaTim, Inserm, UMR 1101, université de Brest, 29200 Brest, France
| | - P-Y Salaun
- Service de médecine nucléaire, CHU de Brest, Inserm UMR 1304 (Getbo), université de Bretagne Occidentale, Brest, France
| | - R Hustinx
- Division of Nuclear Medicine and Oncological Imaging, centre hospitalier universitaire de Liège, Liège, Belgium
| | - V Bourbonne
- Radiation Oncology Department, CHU de Brest, 29200 Brest, France; LaTim, Inserm, UMR 1101, université de Brest, 29200 Brest, France
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10
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Le Guevelou J, Sargos P, Ferretti L, Supiot S, Pasquier D, Créhange G, Blanchard P, Hennequin C, Chapet O, Schick U, Baty M, Masson I, Ploussard G, De Crevoisier R, Latorzeff I. Sexual Structure Sparing for Prostate Cancer Radiotherapy: A Systematic Review. Eur Urol Oncol 2023:S2588-9311(23)00163-3. [PMID: 37640583 DOI: 10.1016/j.euo.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/26/2023] [Accepted: 08/03/2023] [Indexed: 08/31/2023]
Abstract
CONTEXT Erectile dysfunction represents a major side effect of prostate cancer (PCa) treatment, negatively impacting men's quality of life. While radiation therapy (RT) advances have enabled the mitigation of both genitourinary and gastrointestinal toxicities, no significant improvement has been showed in sexual quality of life over time. OBJECTIVE The primary aim of this review was to assess sexual structures' dose-volume parameters associated with the onset of erectile dysfunction. EVIDENCE ACQUISITION We searched the PubMed database and ClinicalTrials.gov until January 4, 2023. Studies reporting the impact of the dose delivered to sexual structures on sexual function or the feasibility of innovative sexual structure-sparing approaches were deemed eligible. EVIDENCE SYNTHESIS Sexual-sparing strategies have involved four sexual organs. The mean penile bulb doses exceeding 20 Gy are predictive of erectile dysfunction in modern PCa RT trial. Maintaining a D100% of ≤36 Gy on the internal pudendal arteries showed preservation of erectile function in 88% of patients at 5 yr. Neurovascular bundle sparing appears feasible with magnetic resonance-guided radiation therapy, yet its clinical impact remains unanswered. Doses delivered to the testicles during PCa RT usually remain <2 Gy and generate a decrease in testosterone levels ranging from -4.6% to -17%, unlikely to have any clinical impact. CONCLUSIONS Current data highlight the technical feasibility of sexual sparing for PCa RT. The proportion of erectile dysfunction attributable to the dose delivered to sexual structures is still largely unknown. While the ability to maintain sexual function over time is impacted by factors such as age or comorbidities, only selected patients are likely to benefit from sexual-sparing RT. PATIENT SUMMARY Technical advances in radiation therapy (RT) made it possible to significantly lower the dose delivered to sexual structures. While sexual function is known to decline with age, the preservation of sexual structures for prostate cancer RT is likely to be beneficial only in selected patients.
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Affiliation(s)
| | - Paul Sargos
- Department of Radiation Oncology, Institut Bergonié, Bordeaux, France
| | | | - Stephane Supiot
- Department of Radiation Oncology, Institut de Cancérologie de l'Ouest, Nantes, France
| | - David Pasquier
- Department of Radiation Oncology, Centre Oscar Lambret, Lille, France
| | - Gilles Créhange
- CNRS, CRIStAL UMR 9189, Université de Lille & Centrale Lille, Lille, France
| | - Pierre Blanchard
- Department of Radiation Oncology, Gustave Roussy, Cancer Campus, INSERM U1018 Oncostat, Université Paris-Saclay, Villejuif, France
| | | | - Olivier Chapet
- Department of Radiation Oncology, Hôpital Lyon Sud, Lyon, France
| | - Ulrike Schick
- Department of Radiation Oncology, CHU de Brest, France
| | - Manon Baty
- Department of Radiation Oncology, Centre Eugène Marquis, Rennes, France
| | - Ingrid Masson
- Department of Radiation Oncology, Centre Eugène Marquis, Rennes, France
| | - Guillaume Ploussard
- Department of Urology, Clinique La Croix-du-Sud, Quint-Fonsegrives, France; Institut Universitaire du Cancer Toulouse Oncopole, Toulouse, France
| | | | - Igor Latorzeff
- Department of Radiation Oncology, Clinique Pasteur, Toulouse, France
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Leclère JC, Clément C, Le Pennec R, Maheo C, Gujral DM, Schick U, Le Gal G, Marianowski R, Salaun PY, Abgral R. An Intensive 18F-Fludeoxyglucose-Positron Emission Tomography With Computed Tomography-Based Strategy of Follow-Up in Patients Treated for Head and Neck Squamous Cell Carcinoma Who Are Clinically Asymptomatic. JAMA Netw Open 2023; 6:e2326654. [PMID: 37526935 PMCID: PMC10394574 DOI: 10.1001/jamanetworkopen.2023.26654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/02/2023] Open
Abstract
Importance Patients with head and neck squamous cell carcinoma (HNSCC) have a significant risk of locoregional recurrence within the first 2 years, with approximately two-thirds of patients experiencing such recurrence. While early recurrence detection may be associated with improved patient outcomes, the association of such detection with survival remains uncertain. Objective To investigate the association of an intensive posttreatment follow-up strategy using 18F-fludeoxyglucose-positron emission tomography with computed tomography (18FDG-PET/CT) with survival among patients with HNSCC. Design, Setting, and Participants This case-control study was conducted among patients treated at 1 of 3 locations in Brest, France (University Hospital, Military Hospital, or Pasteur Clinic). The statistical analysis was conducted from January to June 2023. All adults with histologically proven HNSCC who were treated with curative intent between January 1, 2006, and December 31, 2019, and achieved a complete response on imaging at 3 to 6 months were included. They had a minimum of 3 years of follow-up. Exposures Patients undergoing an intensive posttreatment follow-up strategy had 18FDG-PET/CT (PET/CT group) at months 12, 24, and 36, chosen at the discretion of ear, nose, and throat surgeons. Main Outcomes and Measures Overall survival (OS) at 3 years. Results Among 782 patients with HNSCC (642 males [82.1%]; median [IQR] age, 61 [56-68] years), 497 patients had 18FDG-PET/CT during follow-up and 285 patients had conventional follow-up (CFU group). Cox regression analysis showed an association between undergoing 18FDG-PET/CT and lower risk of death (odds ratio, 0.71; 95% CI, 0.57-0.88; P = .002) after adjustment for covariates (age, sex, comorbidities, primary location, stage, surgeon, year of treatment, and treatment). The mean (SD) 3-year OS was significantly better in the PET/CT vs CFU group (72.5% [2.0%] vs 64.3% [2.9%]; P = .002). Analysis based on American Joint Committee on Cancer stage showed significantly better mean (SD) 3-year OS for advanced stages III and IV in the PET/CT group (373 patients) vs CFU group (180 patients; 68.5% [2.4%] vs 55.4% [3.8%]; P < .001), while no significant difference was observed between patients with stage I or II HNSCC. Analysis based on primary tumor site revealed significantly longer mean (SD) 3-year OS for oropharyngeal tumor in the PET/CT group (176 patients) than the CFU group (100 patients; 69.9% [3.5%] vs 60.5% [5.0%]; P = .04). Conclusions and relevance This case-control study found that use of 18FDG-PET/CT in the standard annual CFU of HNSCC was associated with a 3-year survival benefit, with a larger benefit for patients with advanced initial tumor stage (III-IV) and oropharyngeal disease.
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Affiliation(s)
| | - Camille Clément
- Head and Neck Surgery Department, University Hospital of Brest, Brest, France
| | - Romain Le Pennec
- Nuclear Medicine Department, University Hospital of Brest, Brest, France
- UMR Inserm 1304 GETBO, University of Western Brittany, Brest, France
| | - Clementine Maheo
- Head and Neck Surgery Department, University Hospital of Brest, Brest, France
| | - Dorothy M Gujral
- Clinical Oncology Department, Imperial College Healthcare National Health Service Trust, Charing Cross Hospital, London, United Kingdom
- Department of Cancer and Surgery, Imperial College London, London, United Kingdom
| | - Ulrike Schick
- Radiotherapy Department, University Hospital of Brest, Brest, France
| | - Grégoire Le Gal
- Clinical Investigation Center CIC 1412, University Hospital of Brest, Brest, France
| | - Remi Marianowski
- Head and Neck Surgery Department, University Hospital of Brest, Brest, France
| | - Pierre-Yves Salaun
- Nuclear Medicine Department, University Hospital of Brest, Brest, France
- UMR Inserm 1304 GETBO, University of Western Brittany, Brest, France
| | - Ronan Abgral
- Nuclear Medicine Department, University Hospital of Brest, Brest, France
- UMR Inserm 1304 GETBO, University of Western Brittany, Brest, France
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12
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Lucia F, Bourbonne V, Pleyers C, Dupré PF, Miranda O, Visvikis D, Pradier O, Abgral R, Mervoyer A, Classe JM, Rousseau C, Vos W, Hermesse J, Gennigens C, De Cuypere M, Kridelka F, Schick U, Hatt M, Hustinx R, Lovinfosse P. Multicentric development and evaluation of 18F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer. Eur J Nucl Med Mol Imaging 2023; 50:2514-2528. [PMID: 36892667 DOI: 10.1007/s00259-023-06180-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/27/2023] [Indexed: 03/10/2023]
Abstract
PURPOSE To develop machine learning models to predict para-aortic lymph node (PALN) involvement in patients with locally advanced cervical cancer (LACC) before chemoradiotherapy (CRT) using 18F-FDG PET/CT and MRI radiomics combined with clinical parameters. METHODS We retrospectively collected 178 patients (60% for training and 40% for testing) in 2 centers and 61 patients corresponding to 2 further external testing cohorts with LACC between 2010 to 2022 and who had undergone pretreatment analog or digital 18F-FDG PET/CT, pelvic MRI and surgical PALN staging. Only primary tumor volumes were delineated. Radiomics features were extracted using the Radiomics toolbox®. The ComBat harmonization method was applied to reduce the batch effect between centers. Different prediction models were trained using a neural network approach with either clinical, radiomics or combined models. They were then evaluated on the testing and external validation sets and compared. RESULTS In the training set (n = 102), the clinical model achieved a good prediction of the risk of PALN involvement with a C-statistic of 0.80 (95% CI 0.71, 0.87). However, it performed in the testing (n = 76) and external testing sets (n = 30 and n = 31) with C-statistics of only 0.57 to 0.67 (95% CI 0.36, 0.83). The ComBat-radiomic (GLDZM_HISDE_PET_FBN64 and Shape_maxDiameter2D3_PET_FBW0.25) and ComBat-combined (FIGO 2018 and same radiomics features) models achieved very high predictive ability in the training set and both models kept the same performance in the testing sets, with C-statistics from 0.88 to 0.96 (95% CI 0.76, 1.00) and 0.85 to 0.92 (95% CI 0.75, 0.99), respectively. CONCLUSIONS Radiomic features extracted from pre-CRT analog and digital 18F-FDG PET/CT outperform clinical parameters in the decision to perform a para-aortic node staging or an extended field irradiation to PALN. Prospective validation of our models should now be carried out.
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Affiliation(s)
- François Lucia
- Radiation Oncology Department, University Hospital, Brest, France.
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France.
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Clémence Pleyers
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | | | - Omar Miranda
- Radiation Oncology Department, University Hospital, Brest, France
| | | | - Olivier Pradier
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Ronan Abgral
- Nuclear Medicine Department, University Hospital, Brest, France
- EA GETBO 3878, IFR 148, University of Brest, UBO, Brest, France
| | - Augustin Mervoyer
- Department of Radiation Oncology, Institut de Cancérologie de l'Ouest Centre René Gauducheau, Saint Herblain, France
| | - Jean-Marc Classe
- Department of Surgical Oncology, Institut de Cancérologie de l'Ouest Centre René Gauducheau, Saint Herblain, France
| | - Caroline Rousseau
- Université de Nantes, CNRS, Inserm, CRCINA, F-44000, Nantes, France
- ICO René Gauducheau, F-44800, Saint-Herblain, France
| | - Wim Vos
- Radiomics SA, Liège, Belgium
| | - Johanne Hermesse
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Christine Gennigens
- Department of Medical Oncology, University Hospital of Liège, Liège, Belgium
| | | | - Frédéric Kridelka
- Department of Gynecology, University Hospital of Liège, Liège, Belgium
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Mathieu Hatt
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Pierre Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
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Amrane K, Thuillier P, Bourhis D, Le Meur C, Quere C, Leclere JC, Ferec M, Jestin-Le Tallec V, Doucet L, Alemany P, Salaun PY, Metges JP, Schick U, Abgral R. Author Correction: Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer. Sci Rep 2023; 13:6665. [PMID: 37095194 PMCID: PMC10126140 DOI: 10.1038/s41598-023-33877-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Affiliation(s)
- Karim Amrane
- Department of Oncology, Regional Hospital of Morlaix, Morlaix, France.
| | - Philippe Thuillier
- Department of Endocrinology, University Hospital of Brest, Brest, France
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France
| | - David Bourhis
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France
| | - Coline Le Meur
- Department of Oncology, University Hospital of Brest, Brest, France
| | - Chloe Quere
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France
| | | | - Marc Ferec
- Department of Gastroenterology, Regional Hospital of Morlaix, Morlaix, France
| | | | - Laurent Doucet
- Department of Pathology, University Hospital of Brest, Brest, France
| | - Pierre Alemany
- Department of Pathology, Ouestpathology Brest, Brest, France
| | - Pierre-Yves Salaun
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France
| | | | - Ulrike Schick
- Department of Radiotherapy, University Hospital of Brest, Brest, France
| | - Ronan Abgral
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France.
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France.
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14
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Benziane-Ouaritini N, Zilli T, Giraud A, Ingrosso G, Di Staso M, Trippa F, Pommier P, Meyer E, Francolini G, Schick U, Pasquier D, Marc Cosset J, Magne N, Martin E, Gnep K, Renard-Penna R, Anger E, Achard V, Giraud N, Aristei C, Ferrari V, Pasquier C, Zaine H, Osman O, Detti B, Perennec T, Mihoci I, Supiot S, Latorzeff I, Sargos P. Prostatectomy Bed Image-guided Dose-escalated Salvage Radiotherapy (SPIDER): An International Multicenter Retrospective Study. Eur Urol Oncol 2023:S2588-9311(23)00067-6. [PMID: 37059627 DOI: 10.1016/j.euo.2023.02.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 02/13/2023] [Accepted: 02/22/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Management of macroscopic local recurrence (MLR) after radical prostatectomy is a challenging situation with no standardized approach. OBJECTIVE The objective of our study was to assess the efficacy and safety of functional image-guided salvage radiotherapy (SRT) in patients with MLR in the prostate bed. DESIGN, SETTING, AND PARTICIPANTS In this international multicenter retrospective study across 16 European centers, eligible patients were initially treated by radical prostatectomy (RP) with or without pelvic lymph node dissection for localized or locally advanced adenocarcinoma of the prostate. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Prostate-specific antigen (PSA) measured 4 wk after RP was <0.1 ng/ml. All patients presented a biochemical relapse after RP defined by an increase in PSA level of ≥0.2 ng/ml on two successive measures. Only patients with an MLR lesion in the prostatectomy bed visualized on functional imaging (multiparametric magnetic resonance imaging, positron emission tomography/computed tomography [PET/CT] choline, or PET/CT prostate-specific membrane antigen) were eligible. Patients with lymph node, bone, or visceral dissemination at restaging imaging (CT and/or bone scintigraphy and/or magnetic resonance imaging and/or PET) were excluded. Dose escalation was defined as a dose of >66 Gy prescribed to the prostate bed or to MLR. Toxicities were classified using the Common Terminology Criteria for Adverse Events scale, version 4.03. The primary endpoint was progression-free survival (PFS). Secondary outcomes were metastasis-free survival (MPFS), biochemical progression-free survival, and overall survival. Genitourinary (GU) and gastrointestinal (GI) toxicities were analyzed. RESULTS AND LIMITATIONS Between January 2000 and December 2019, 310 patients received at least one dose escalation on MLR and 25 patients did not receive any dose escalation. The median PSA level before SRT was 0.63 ng/ml (interquartile range [IQR], 0.27-1.7). The median follow-up was 54 mo (IQR, 50-56). Five-year PFS and MPFS were 70% (95% confidence interval [CI]: [64; 75]) and 84% (95% CI: [78; 88]), respectively. Grade ≥2 GU and GI late toxicities were observed in 43 (12%) and 11 (3%) patients, respectively. When the prescribed dose on the MLR lesion was ≥72 Gy, an improvement in 5-yr PFS was found for patients received at least one dose escalation (73% [95% CI: 65-79]) vs 60% [95% CI: 48; 70]; p = 0.03). CONCLUSIONS In this contemporary study integrating functional imaging data, we found potential efficacy of SRT with dose escalation ≥72 Gy for patients with MLR in the prostate bed and with an acceptable toxicity profile. Prospective data exploring this MLR dose escalation strategy are awaited. PATIENT SUMMARY In this report, we looked at the outcomes from salvage radiotherapy for prostate cancer and macroscopic relapse in a large European population. We found that outcomes varied with prostate-specific antigen at relapse, Gleason score, and dose escalation. We found potential efficacy of salvage radiotherapy with dose escalation for macroscopic relapse in the prostate bed, with an acceptable toxicity profile.
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Affiliation(s)
| | - Thomas Zilli
- Department of Radiotherapy, University of Geneva, Geneva, Switzerland
| | - Antoine Giraud
- Department of Radiotherapy, Bergonie Institute, Bordeaux, France
| | - Gianluca Ingrosso
- Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Mario Di Staso
- Department of Clinical Medicine Life Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Fabio Trippa
- Department of Radiotherapy, Saint Maria Hospital, Terni, Italy
| | - Pascal Pommier
- Department of Radiotherapy, Centre Léon Bérard, Lyon, France
| | - Emmanuel Meyer
- Department of Radiotherapy, Centre Francois Baclesse, Caen, France
| | | | - Ulrike Schick
- Department of Radiotherapy, Morvan Hospital Brest, France
| | - David Pasquier
- Department of Radiotherapy, Oscar Lambret Cancer Centre, Lille, France
| | | | - Nicolas Magne
- Department of Radiotherapy, St Etienne University, St Etienne, France
| | - Etienne Martin
- Department of Radiotherapy, Georges-François Leclerc Centre, Dijon, France
| | - Kémara Gnep
- Department of Radiotherapy, Eugene Marquis Cancer Institute, Rennes, France
| | - Raphaelle Renard-Penna
- Department of Radiology, Sorbonne University, AP-HP, Hopital Pitié-Salpétrière Hospital, Paris, France
| | - Ewen Anger
- Department of Radiotherapy, Eugene Marquis Cancer Institute, Rennes, France
| | - Vérane Achard
- Department of Radiotherapy, University of Geneva, Geneva, Switzerland
| | - Nicolas Giraud
- Department of Radiotherapy, Bergonie Institute, Bordeaux, France
| | | | - Victoria Ferrari
- Department of Medical Oncology, Antoine-Lacassagne Centre, Nice, France
| | - Corentin Pasquier
- Department of Radiotherapy, University Hospital Centre Toulouse, Toulouse, France
| | - Hind Zaine
- Department of Radiotherapy, Oscar Lambret Cancer Centre, Lille, France
| | - Osman Osman
- Department of Radiotherapy, Centre Léon Bérard, Lyon, France
| | | | - Tanguy Perennec
- Department of Radiotherapy, Institute of Cancer Research Western France, St Herblain, France
| | - Inga Mihoci
- Department of Clinical Medicine Life Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Stéphane Supiot
- Department of Radiotherapy, Institute of Cancer Research Western France, St Herblain, France
| | - Igor Latorzeff
- Department of Radiotherapy, Pasteur Clinic, Toulouse, France
| | - Paul Sargos
- Department of Radiotherapy, Bergonie Institute, Bordeaux, France.
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15
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Amrane K, Thuillier P, Bourhis D, Le Meur C, Quere C, Leclere JC, Ferec M, Jestin-Le Tallec V, Doucet L, Alemany P, Salaun PY, Metges JP, Schick U, Abgral R. Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer. Sci Rep 2023; 13:5789. [PMID: 37031233 PMCID: PMC10082755 DOI: 10.1038/s41598-023-31587-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 03/14/2023] [Indexed: 04/10/2023] Open
Abstract
The main aim of this study was to evaluate the prognostic value of radiomic approach in pre-therapeutic 18F-fluorodeoxyglucose positron-emission tomography (FDG-PET/CT) in a large cohort of patients with gastro-esophageal junction cancer (GEJC). This was a retrospective monocenter study including 97 consecutive patients with GEJC who underwent a pre-therapeutic FDG-PET and were followed up for 3 years. Standard first-order radiomic PET indices including SUVmax, SUVmean, SUVpeak, MTV and TLG and 32 textural features (TFs) were calculated using LIFEx software on PET imaging. Prognostic significance of these parameters was assessed in univariate and multivariate analysis. Relapse-free survival (RFS) and overall survival (OS) were respectively chosen as primary and secondary endpoints. An internal validation cohort was used by randomly drawing one-third of included patients. The main characteristics of this cohort were: median age of 65 years [41-88], sex ratio H/F = 83/14, 81.5% of patients with a histopathology of adenocarcinoma and 43.3% with a stage IV disease. The median follow-up was 28.5 months [4.2-108.5]. Seventy-seven (79.4%) patients had locoregional or distant progression or recurrence and 71 (73.2%) died. In univariate analysis, SUVmean, Histogram-Entropy and 2 TFs (GLCM-Homogeneity and GLCM-Energy) were significantly correlated with RFS and OS, as well as 2 others TFs (GLRLM-LRE and GLRLM-GLNU) with OS only. In multivariate analysis, Histogram-Entropy remained an independent prognostic factor of both RFS and OS whereas SUVmean was an independent prognostic factor of OS only. These results were partially confirmed in our internal validation cohort of 33 patients. Our results suggest that radiomic approach reveals independent prognostic factors for survival in patients with GEJC.
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Affiliation(s)
- Karim Amrane
- Department of Oncology, Regional Hospital of Morlaix, Morlaix, France.
| | - Philippe Thuillier
- Department of Endocrinology, University Hospital of Brest, Brest, France
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France
| | - David Bourhis
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France
| | - Coline Le Meur
- Department of Oncology, University Hospital of Brest, Brest, France
| | - Chloe Quere
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France
| | | | - Marc Ferec
- Department of Gastroenterology, Regional Hospital of Morlaix, Morlaix, France
| | | | - Laurent Doucet
- Department of Pathology, University Hospital of Brest, Brest, France
| | - Pierre Alemany
- Department of Pathology, Ouestpathology Brest, Brest, France
| | - Pierre-Yves Salaun
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France
| | | | - Ulrike Schick
- Department of Radiotherapy, University Hospital of Brest, Brest, France
| | - Ronan Abgral
- UMR Inserm 1304 GETBO, IFR 148, University of Western Brittany, Brest, France.
- Department of Nuclear Medicine, University Hospital of Brest, 2 Avenue Foch, 29609, Brest Cedex, France.
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16
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Pinot F, Bourhis D, Bourbonne V, Floch R, Mauguen M, Blanc-Béguin F, Schick U, Hamya M, Abgral R, Le Gal G, Salaün PY, Lucia F, Le Roux PY. New Automated Method for Lung Functional Volumes Delineation with Lung Perfusion PET/CT Imaging. Cancers (Basel) 2023; 15:cancers15072166. [PMID: 37046827 PMCID: PMC10093378 DOI: 10.3390/cancers15072166] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/08/2023] Open
Abstract
Background: Gallium-68 lung perfusion PET/CT is an emerging imaging modality for the assessment of regional lung function, especially to optimise radiotherapy (RT) planning. A key step of lung functional avoidance RT is the delineation of lung functional volumes (LFVs) to be integrated into radiation plans. However, there is currently no consistent and reproducible delineation method for LFVs. The aim of this study was to develop and evaluate an automated delineation threshold method based on total lung function for LFVs delineation with Gallium-68 MAA lung PET/CT imaging. Material and Method: Patients prospectively enrolled in the PEGASUS trial—a pilot study assessing the feasibility of lung functional avoidance using perfusion PET/CT imaging for lung stereotactic body radiotherapy (SBRT) of primary or secondary lesion—were analysed. Patients underwent lung perfusion MAA-68Ga PET/CT imaging and pulmonary function tests (PFTs) as part of pre-treatment evaluation. LFVs were delineated using two methods: the commonly used relative to the maximal pixel value threshold method (pmax threshold method, X%pmax volumes) and a new approach based on a relative to whole lung function threshold method (WLF threshold method, FVX% volumes) using a dedicated iterative algorithm. For both methods, LFVs were expressed in terms of % of the anatomical lung volume (AV) and of % of the total lung activity. Functional volumes were compared for patients with normal PFTs and pre-existing airway disease. Results: 60 patients were analysed. Among the 48 patients who had PFTs, 31 (65%) had pre-existing lung disease. The pmax and WLF threshold methods clearly provided different functional volumes with a wide range of relative lung function for a given pmax volume, and conversely, a wide range of corresponding pmax values for a given WLF volume. The WLF threshold method provided more reliable and consistent volumes with much lower dispersion of LFVs as compared to the pmax method, especially in patients with normal PFTs. Conclusions: We developed a relative to whole lung function threshold segmentation method to delineate lung functional volumes on perfusion PET/CT imaging. The automated algorithm allows for reproducible contouring. This new approach, relatively unaffected by the presence of hot spots, provides reliable and consistent functional volumes, and is clinically meaningful for clinicians.
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Affiliation(s)
- Fanny Pinot
- Service de Médecine Nucléaire, CHRU de Brest, 29200 Brest, France
| | - David Bourhis
- Service de Médecine Nucléaire, CHRU de Brest, 29200 Brest, France
- GETBO, INSERM, UMR1304, Université de Bretagne Occidentale, 29200 Brest, France
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, 29200 Brest, France
- LaTIM, INSERM, UMR 1101, University of Brest, 29200 Brest, France
| | - Romain Floch
- Service de Médecine Nucléaire, CHRU de Brest, 29200 Brest, France
| | - Maelle Mauguen
- Radiation Oncology Department, University Hospital, 29200 Brest, France
| | - Frédérique Blanc-Béguin
- Service de Médecine Nucléaire, CHRU de Brest, 29200 Brest, France
- GETBO, INSERM, UMR1304, Université de Bretagne Occidentale, 29200 Brest, France
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, 29200 Brest, France
- LaTIM, INSERM, UMR 1101, University of Brest, 29200 Brest, France
| | - Mohamed Hamya
- Radiation Oncology Department, University Hospital, 29200 Brest, France
| | - Ronan Abgral
- Service de Médecine Nucléaire, CHRU de Brest, 29200 Brest, France
- GETBO, INSERM, UMR1304, Université de Bretagne Occidentale, 29200 Brest, France
| | - Grégoire Le Gal
- Centre d’Investigation Clinique, CHRU de Brest, 29200 Brest, France
| | - Pierre-Yves Salaün
- Service de Médecine Nucléaire, CHRU de Brest, 29200 Brest, France
- GETBO, INSERM, UMR1304, Université de Bretagne Occidentale, 29200 Brest, France
| | - François Lucia
- Radiation Oncology Department, University Hospital, 29200 Brest, France
- LaTIM, INSERM, UMR 1101, University of Brest, 29200 Brest, France
| | - Pierre-Yves Le Roux
- Service de Médecine Nucléaire, CHRU de Brest, 29200 Brest, France
- GETBO, INSERM, UMR1304, Université de Bretagne Occidentale, 29200 Brest, France
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17
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Tremblay G, Nguyen TA, Marolleau J, Malhaire JP, Fourcade A, Boussion N, Goasduff G, Martin E, Dissaux G, Pradier O, Fournier G, Schick U, Valeri A. Impact of age on the Quadrella index assessing oncological and functional results after prostate brachytherapy: A 6-year analysis. J Contemp Brachytherapy 2023; 15:89-95. [PMID: 37215618 PMCID: PMC10196736 DOI: 10.5114/jcb.2023.127049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 04/03/2023] [Indexed: 05/24/2023] Open
Abstract
Purpose As the oncological results of prostate brachytherapy (BT) are excellent for low-risk (LR) or favorable intermediate-risk (FIR) prostate cancer (PCa), evaluating the side effects has become a major issue, especially for young men. The objective of the study was to compare the oncologic and functional results of BT using Quadrella index for patients aged 60 or less compared with older patients. Material and methods From June, 2007 to June, 2017, 222 patients, including 70 ≤ 60 years old and 152 > 60 years old, underwent BT for LR-FIR PCa, with good erectile function at baseline according to International Index of Erectile Function-5 (IIEF-5) > 16. Quadrella index was achieved under the following circumstances: 1) Absence of biological recurrence (Phoenix criteria); 2) Absence of erectile dysfunction (ED) (IIEF-5 > 16); 3) No urinary toxicity (international prostate score symptom) IPSS < 15 or IPSS > 15, and ΔIPSS < 5; 4) No rectal toxicity (RT) (Radiation Therapy Oncology Group, RTOG = 0). Patients were treated on demand with phosphodiesterase inhibitors (PDE5i) post-operatively. Results The Quadrella index was satisfied for about 40-80% of patients ≤ 60 years vs. 33-46% for older patients during 6-year follow-up (significant difference from the second year). At year 5, 100% of evaluable patients aged ≤ 60 and 91.8% > 60 (p = 0.29) reached Phoenix criteria. The criterion of ED (IIEF-5 < 16) largely explained the validity rate of Quadrella alone. There was no ED for 67.2-81.4% of patients ≤ 60 years compared with 40.0-56.1% for patients > 60 (significant difference since year 4 in favor of young men). After two years of follow-up, more than 90% of patients in both the groups showed neither urinary nor rectal toxicities. Conclusions For young men displaying LR-FIR PCa, BT appears to be a first-class therapeutic option, as the oncological results were at least equivalent to those of older patients with good long-term tolerance.
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Affiliation(s)
| | - Truong An Nguyen
- Urology Department, CHU, Brest, France
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
- LaTIM, INSERM, UMR 1101, Université de Bretagne Occidentale, Brest, France
| | | | | | | | - Nicolas Boussion
- LaTIM, INSERM, UMR 1101, Université de Bretagne Occidentale, Brest, France
- Radiation Oncology Department, CHU, Brest, France
| | | | | | - Gurvan Dissaux
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
- LaTIM, INSERM, UMR 1101, Université de Bretagne Occidentale, Brest, France
- Radiation Oncology Department, CHU, Brest, France
| | - Olivier Pradier
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
- LaTIM, INSERM, UMR 1101, Université de Bretagne Occidentale, Brest, France
- Radiation Oncology Department, CHU, Brest, France
| | - G Fournier
- Urology Department, CHU, Brest, France
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
- LaTIM, INSERM, UMR 1101, Université de Bretagne Occidentale, Brest, France
- CeRePP, Paris, France
| | - U Schick
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
- LaTIM, INSERM, UMR 1101, Université de Bretagne Occidentale, Brest, France
- Radiation Oncology Department, CHU, Brest, France
| | - Antoine Valeri
- Urology Department, CHU, Brest, France
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
- LaTIM, INSERM, UMR 1101, Université de Bretagne Occidentale, Brest, France
- CeRePP, Paris, France
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18
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Rogé M, Pointreau Y, Sargos P, Meyer E, Schick U, Hasbini A, Rio E, Bera G, Ruffier A, Quivrin M, Chasseray M, Latorzeff I, Martin E, Guimas V, Pommier P, Leroy T, Ronchin P, Lepinoy A, Grand A, Cartier L, Didas O, Denis F, Libois V, Blanc-Lapierre A, Supiot S. Randomized phase II trial in Prostate cancer with hormone-sensitive OligometaSTatic relapse: Combining stereotactic Ablative Radiotherapy and Durvalumab (POSTCARD GETUG P13): study protocol. Clin Transl Radiat Oncol 2023; 40:100613. [PMID: 36968576 PMCID: PMC10034400 DOI: 10.1016/j.ctro.2023.100613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/04/2023] [Accepted: 03/05/2023] [Indexed: 03/10/2023] Open
Abstract
Background As in other solid tumors, increasing evidence indicates that patients diagnosed with a limited number of prostate cancer metastases, so-called oligometastases, have a better prognosis than patients with extensive metastatic disease. Stereotactic body radiotherapy (SBRT) is now considered an option in this population.Programmed death-1 (PD-1) and its ligands (PD-L1) are targeted by immune checkpoint inhibitors. Preclinical studies have shown that the tumor immune microenvironment changes when combining radiotherapy with immunotherapy, especially with hypofractionated radiotherapy.The oligometastatic setting appears to be the most relevant clinical situation for evaluating the immune response generated by radiotherapy and immune checkpoint inhibitors in patients with an intact immune system.We hypothesize that durvalumab will enhance the immune response following SBRT targeting oligometastatic lesions. Our purpose is to demonstrate, via a randomized 2:1 phase II trial, that SBRT (3 fractions) with durvalumab in oligometastatic hormone-sensitive prostate cancer patients would improve progression-free survival in patients with prostate cancer with up to 5 metastases compared to patients who exclusively received SBRT. Methods This is a multicentric randomized phase II study in French academic hospitals. Patients with prostate cancer and up to 5 metastases (lymph node and/or bone) were randomized into a 2:1 ratio between Arm A (experimental group), corresponding to durvalumab and SBRT to the metastases, and Arm B (control group), corresponding to SBRT alone to the metastases. The study aims to accrue a total of 96 patients within 3 years. The primary endpoint is two-year progression-free survival and secondary endpoints include androgen deprivation therapy-free survival, quality of life, toxicity, prostate cancer specific survival, overall survival, and immune response. Discussion The expected benefit for the patients in the experimental arm is longer life expectancy with acceptable toxicity. We also expect our study to provide data for better understanding the synergy between immunotherapy and radiotherapy in oligometastatic prostate cancer.
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Affiliation(s)
- Maximilien Rogé
- Department of Radiation Oncology, Centre Henri Becquerel, 1 rue d’Amiens, 76000 Rouen, France
- Corresponding author.
| | - Yoann Pointreau
- Department of Radiation Oncology, Centre Jean Bernard, 9 Rue Beauverger, 72100 Le Mans, France
| | - Paul Sargos
- Department of Radiation Oncology, Institut Bergonié, 229 Cr de l'Argonne, 33076 Bordeaux, France
| | - Emmanuel Meyer
- Department of Radiation Oncology, Centre François Baclesse, 3 Av. du General Harris, 14000 Caen, France
| | - Ulrike Schick
- Department of Radiation Oncology, University Hospital Morvan, 2 avenue Foch, 29200 Brest, France
| | - Ali Hasbini
- Department of Radiation Oncology, Clinique Pasteur, 32 Rue Auguste Kervern, 29200 Brest, France
| | - Emmanuel Rio
- Department of Radiation Oncology, Centre Henri Becquerel, 1 rue d’Amiens, 76000 Rouen, France
| | - Guillaume Bera
- Department of Radiation Oncology, Centre Hospitalier de Bretagne Sud, 5 avenue de Choiseul, 56322 Lorient, France
| | - Amandine Ruffier
- Department of Radiation Oncology, Centre Jean Bernard, 9 Rue Beauverger, 72100 Le Mans, France
| | - Magali Quivrin
- Department of Radiation Oncology, Georges-François Leclerc Cancer Centre-UNICANCER, 1 Rue Professeur Marion, 21000 Dijon, France
| | - Mathieu Chasseray
- Department of Radiation Oncology, University Hospital Morvan, 2 avenue Foch, 29200 Brest, France
| | - Igor Latorzeff
- Department of Radiation Oncology, Oncorad Clinique Pasteur, 1, rue de la Petite Vitesse, 31 000 Toulouse, France
| | - Etienne Martin
- Department of Radiation Oncology, Georges-François Leclerc Cancer Centre-UNICANCER, 1 Rue Professeur Marion, 21000 Dijon, France
| | - Valentine Guimas
- Department of Radiation Oncology, Centre Henri Becquerel, 1 rue d’Amiens, 76000 Rouen, France
| | - Pascal Pommier
- Department of Radiation Oncology, Centre Léon Bérard, 28 Prom. Léa et Napoléon Bullukian, 69008 Lyon, France
| | - Thomas Leroy
- Department of Radiation Oncology, Clinique des Dentellières, 8 av Vauban, 59300 Valenciennes, France
| | - Philippe Ronchin
- Department of Radiation Oncology, Centre Azureen de Cancerologie, 1 Place Docteur Jean Luc Broquerie, 06250 Mougins, France
| | - Alexis Lepinoy
- Department of Radiation Oncology, Bourgogne Institute of Oncology, 18 Cr General de Gaulle, 21000 Dijon, France
| | - Audrey Grand
- Department of Radiation Oncology Center Hospitalier Lyon Sud, 165 Chem. du Grand Revoyet, 69495 Pierre-Bénite, France
| | - Lysian Cartier
- Department of Radiation Oncology, Institut Sainte Catherine, 250 Chem. de Baigne Pieds, 84918 Avignon, France
| | - Ossama Didas
- Department of Radiation Oncology, Hôpital Bretonneau, CHU de Tours, 2, boulevard Tonnellé, 37044 Tours, France
| | - Fabrice Denis
- Department of Radiation Oncology, Centre Jean Bernard, 9 Rue Beauverger, 72100 Le Mans, France
| | - Vincent Libois
- Department of Radiation Oncology, Centre Henri Becquerel, 1 rue d’Amiens, 76000 Rouen, France
| | - Audrey Blanc-Lapierre
- Department of Biostatistics, Institut de Cancérologie de l'Ouest, Bd Professeur Jacques Monod, 44800 Saint Herblain, France
| | - Stéphane Supiot
- Department of Radiation Oncology, Centre Henri Becquerel, 1 rue d’Amiens, 76000 Rouen, France
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19
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Aboudaram A, Chaltiel L, Pouessel D, Graff-Cailleaud P, Benziane-Ouaritini N, Sargos P, Schick U, Créhange G, Cohen-Jonathan Moyal E, Chevreau C, Khalifa J. Consolidative Radiotherapy for Metastatic Urothelial Bladder Cancer Patients with No Progression and with No More than Five Residual Metastatic Lesions Following First-Line Systemic Therapy: A Retrospective Analysis. Cancers (Basel) 2023; 15:cancers15041161. [PMID: 36831503 PMCID: PMC9954747 DOI: 10.3390/cancers15041161] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/03/2023] [Accepted: 02/10/2023] [Indexed: 02/15/2023] Open
Abstract
Local consolidative radiotherapy in the treatment of metastatic malignancies has shown promising results in several types of tumors. The objective of this study was to assess consolidative radiotherapy to the bladder and to residual metastases in metastatic urothelial bladder cancer with no progression following first-line systemic therapy. MATERIALS/METHODS Patients who received first-line therapy for the treatment of metastatic urothelial bladder cancer (mUBC) and who were progression-free following treatment with no more than five residual metastases were retrospectively identified through the database of four Comprehensive Cancer Centers, between January 2005 and December 2018. Among them, patients who received subsequent definitive radiotherapy (of EQD2Gy > 45Gy) to the bladder and residual metastases were included in the consolidative group (irradiated (IR) group), and the other patients were included in the observation group (NIR group). Progression-free survival (PFS) and overall survival (OS) were determined from the start of the first-line chemotherapy using the Kaplan-Meier method. To prevent immortal time bias, a Cox model with time-dependent covariates and 6-month landmark analyses were performed to examine OS and PFS. RESULTS A total of 91 patients with at least stable disease following first-line therapy and with no more than five residual metastases were analyzed: 51 in the IR group and 40 in the NIR group. Metachronous metastatic disease was more frequent in the NIR group (19% vs. 5%, p = 0.02); the median number of metastases in the IR group vs. in the NIR group was 2 (1-9) vs. 3 (1-5) (p = 0.04) at metastatic presentation, and 1 (0-5) vs. 2 (0-5) (p = 0.18) after completion of chemotherapy (residual lesions), respectively. Two grade 3 toxicities (3.9%) and no grade 4 toxicity were reported in the IR group related to radiotherapy. With a median follow up of 85.9 months (95% IC (36.7; 101.6)), median OS and PFS were 21.7 months (95% IC (17.1; 29.7)) and 11.1 months (95% IC (9.9; 14.1)) for the whole cohort, respectively. In multivariable analysis, consolidative radiotherapy conferred a benefit in both PFS (HR = 0.49, p = 0.007) and OS (HR = 0.47, p = 0.015) in the whole population; in the landmark analysis at 6 months, radiotherapy was associated with improved OS (HR = 0.48, p = 0.026), with a trend for PFS (HR = 0.57, p = 0.082). CONCLUSION Consolidative radiotherapy for mUBC patients who have not progressed after first-line therapy and with limited residual disease seems to confer both OS and PFS benefits. The role of consolidative radiotherapy in the context of avelumab maintenance should be addressed prospectively.
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Affiliation(s)
- Amélie Aboudaram
- Department of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopole, 31000 Toulouse, France
| | - Léonor Chaltiel
- Department of Biostatistics, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopole, 31059 Toulouse, France
| | - Damien Pouessel
- Department of Medical Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopole, 31059 Toulouse, France
| | | | | | - Paul Sargos
- Department of Radiation Oncology, Institut Bergonié, 33000 Bordeaux, France
| | - Ulrike Schick
- Department of Radiation Oncology, CHU Brest, 29200 Brest, France
| | - Gilles Créhange
- Department of Radiation Oncology, Institut Curie, 75248 Paris, France
| | - Elizabeth Cohen-Jonathan Moyal
- Department of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopole, 31000 Toulouse, France
| | - Christine Chevreau
- Department of Medical Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopole, 31059 Toulouse, France
| | - Jonathan Khalifa
- Department of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopole, 31000 Toulouse, France
- Correspondence: ; Tel.: +33-5-31-15-54-01
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20
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Pinot F, Le Pennec R, Abgral R, Blanc-Béguin F, Hennebicq S, Schick U, Valeri A, Fournier G, Le Roux PY, Salaun PY, Robin P. PSMA-11 PET/CT for Detection of Recurrent Prostate Cancer in Patients With Negative Choline PET/CT. Clin Genitourin Cancer 2022; 21:248-257. [PMID: 36658064 DOI: 10.1016/j.clgc.2022.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 12/21/2022] [Accepted: 12/24/2022] [Indexed: 12/29/2022]
Abstract
INTRODUCTION Prostate adenocarcinoma (CaP) is the leading cancer in men. After curative treatment, from 27% to 53% of patients will experience biochemical recurrence (BR). With the development of focal therapies, precise early identification of recurrence's sites is of utmost importance in order to deliver individualized treatment on positive lesions. The aim of this study was to assess the detection rate (DR) of 68Ga-PSMA-11 positron emission tomography/computed tomography (PET/CT) in selected patients with prostate cancer BR and recent negative 18F-choline PET/CT. PATIENTS AND METHODS We performed a retrospective analysis including all patients with CaP referred for BR with a negative 18F-choline PET/CT, and who underwent 68Ga-PSMA-11 PET/CT between October, 2018 and December, 2019. The overall DR of 68Ga-PSMA-11 PET/CT was calculated, and described according to BR characteristics especially PSA levels and velocity. Patients were followed up for at least 1 year. Patient management following 68Ga-PSMA-11 PET/CT and PSA levels evolution after treatment were also recorded. RESULTS One hundred fifty-nine patients comprising 164 examinations were analyzed. The overall DR of 68Ga-PSMA-11 PET/CT for BR was 65.9% (95CI, 58.6-73.1). The DR was 52.5% (95CI, 39.9-65.0), 70.6% (95CI, 55.3-85.9), 70.4% (95CI, 53.1-87.6), and 78.6% (95CI, 66.2-91.0) for PSA levels between 0.2 and 0.49 ng/mL, 0.5 to 0.99 ng/mL, 1 to 1.99 ng/mL and PSA ≥ 2 ng/mL, respectively. The DR was 70.7% (95CI, 59.0-82.4) with a PSA doubling time (PSA-DT) ≤6 months and 65.2% (95CI, 55.5-74.9) with a PSA-DT >6 months. Around 3/4 of patients (75.9%) with a positive 68Ga-PSMA-11 PET/CT initiated treatment, including surgery (2.4%), stereotactic radiotherapy ± androgen deprivation therapy (ADT) (22%) or external conformational radiotherapy ± ADT (46.3%). Patient management changed in 43 cases (39.8%). CONCLUSION Our study confirmed the ability of 68Ga-PSMA-11 PET/CT to detect occult biochemical recurrence, even in a selected population of CaP patients with negative 18F-choline PET/CT, even at low PSA levels.
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Affiliation(s)
- Fanny Pinot
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France
| | - Romain Le Pennec
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France
| | - Ronan Abgral
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France; Inserm, Univ Brest, CHU Brest, UMR 1304, GETBO, Brest, France
| | - Frédérique Blanc-Béguin
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France; Inserm, Univ Brest, CHU Brest, UMR 1304, GETBO, Brest, France
| | - Simon Hennebicq
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France; Inserm, Univ Brest, CHU Brest, UMR 1304, GETBO, Brest, France
| | - Ulrike Schick
- Département de Radiothérapie, Centre Hospitalier Universitaire de Brest, Brest, France; Inserm, Univ Brest, CHU Brest, UMR 1101, LaTIM, Brest, France
| | - Antoine Valeri
- Inserm, Univ Brest, CHU Brest, UMR 1101, LaTIM, Brest, France; Département d'Urologie, Centre Hospitalier Universitaire de Brest, Brest, France
| | - Georges Fournier
- Inserm, Univ Brest, CHU Brest, UMR 1101, LaTIM, Brest, France; Département d'Urologie, Centre Hospitalier Universitaire de Brest, Brest, France
| | - Pierre-Yves Le Roux
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France; Inserm, Univ Brest, CHU Brest, UMR 1304, GETBO, Brest, France
| | - Pierre-Yves Salaun
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France; Inserm, Univ Brest, CHU Brest, UMR 1304, GETBO, Brest, France
| | - Philippe Robin
- Département de Médecine Nucléaire, Centre Hospitalier Universitaire de Brest, Brest, France; Inserm, Univ Brest, CHU Brest, UMR 1304, GETBO, Brest, France.
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Allard B, Dissaux B, Bourhis D, Dissaux G, Schick U, Salaün PY, Abgral R, Querellou S. Hotspot on 18F-FET PET/CT to Predict Aggressive Tumor Areas for Radiotherapy Dose Escalation Guiding in High-Grade Glioma. Cancers (Basel) 2022; 15:cancers15010098. [PMID: 36612093 PMCID: PMC9817533 DOI: 10.3390/cancers15010098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
The standard therapy strategy for high-grade glioma (HGG) is based on the maximal surgery followed by radio-chemotherapy (RT-CT) with insufficient control of the disease. Recurrences are mainly localized in the radiation field, suggesting an interest in radiotherapy dose escalation to better control the disease locally. We aimed to identify a similarity between the areas of high uptake on O-(2-[18F]-fluoroethyl)-L-tyrosine (FET) positron emission tomography/computed tomography (PET) before RT-CT, the residual tumor on post-therapy NADIR magnetic resonance imaging (MRI) and the area of recurrence on MRI. This is an ancillary study from the IMAGG prospective trial assessing the interest of FET PET imaging in RT target volume definition of HGG. We included patients with diagnoses of HGG obtained by biopsy or tumor resection. These patients underwent FET PET and brain MRIs, both after diagnosis and before RT-CT. The follow-up consisted of sequential brain MRIs performed every 3 months until recurrence. Tumor delineation on the initial MRI 1 (GTV 1), post-RT-CT NADIR MRI 2 (GTV 2), and progression MRI 3 (GTV 3) were performed semi-automatically and manually adjusted by a neuroradiologist specialist in neuro-oncology. GTV 2 and GTV 3 were then co-registered on FET PET data. Tumor volumes on FET PET (MTV) were delineated using a tumor to background ratio (TBR) ≥ 1.6 and different % SUVmax PET thresholds. Spatial similarity between different volumes was performed using the dice (DICE), Jaccard (JSC), and overlap fraction (OV) indices and compared together in the biopsy or partial surgery group (G1) and the total or subtotal surgery group (G2). Another overlap index (OV') was calculated to determine the threshold with the highest probability of being included in the residual volume after RT-CT on MRI 2 and in MRI 3 (called "hotspot"). A total of 23 patients were included, of whom 22% (n = 5) did not have a NADIR MRI 2 due to a disease progression diagnosed on the first post-RT-CT MRI evaluation. Among the 18 patients who underwent a NADIR MRI 2, the average residual tumor was approximately 71.6% of the GTV 1. A total of 22% of patients (5/23) showed an increase in GTV 2 without diagnosis of true progression by the multidisciplinary team (MDT). Spatial similarity between MTV and GTV 2 and between MTV and GTV 3 were higher using a TBR ≥ 1.6 threshold. These indices were significantly better in the G1 group than the G2 group. In the FET hotspot analysis, the best similarity (good agreement) with GTV 2 was found in the G1 group using a 90% SUVmax delineation method and showed a trend of statistical difference with those (poor agreement) in the G2 group (OV' = 0.67 vs. 0.38, respectively, p = 0.068); whereas the best similarity (good agreement) with GTV 3 was found in the G1 group using a 80% SUVmax delineation method and was significantly higher than those (poor agreement) in the G2 group (OV'= 0.72 vs. 0.35, respectively, p = 0.014). These results showed modest spatial similarity indices between MTV, GTV 2, and GTV 3 of HGG. Nevertheless, the results were significantly improved in patients who underwent only biopsy or partial surgery. TBR ≥ 1.6 and 80-90% SUVmax FET delineation methods showing a good agreement in the hotspot concept for targeting standard dose and radiation boost. These findings need to be tested in a larger randomized prospective study.
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Affiliation(s)
- Bastien Allard
- Nuclear Medicine Department, University Hospital, 29200 Brest, France
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
| | - Brieg Dissaux
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
- GETBO UMR U_1304, Inserm, University of Western Brittany (UBO), 29200 Brest, France
- Radiology Department, University Hospital, 29200 Brest, France
| | - David Bourhis
- Nuclear Medicine Department, University Hospital, 29200 Brest, France
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
- GETBO UMR U_1304, Inserm, University of Western Brittany (UBO), 29200 Brest, France
| | - Gurvan Dissaux
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
- Radiation Oncology Department, University Hospital, 29200 Brest, France
- LaTIM, INSERM 1101, 29200 Brest, France
| | - Ulrike Schick
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
- Radiation Oncology Department, University Hospital, 29200 Brest, France
- LaTIM, INSERM 1101, 29200 Brest, France
| | - Pierre-Yves Salaün
- Nuclear Medicine Department, University Hospital, 29200 Brest, France
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
- GETBO UMR U_1304, Inserm, University of Western Brittany (UBO), 29200 Brest, France
| | - Ronan Abgral
- Nuclear Medicine Department, University Hospital, 29200 Brest, France
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
- GETBO UMR U_1304, Inserm, University of Western Brittany (UBO), 29200 Brest, France
| | - Solène Querellou
- Nuclear Medicine Department, University Hospital, 29200 Brest, France
- UFR Médecine, University of Western Brittany (UBO), 29200 Brest, France
- GETBO UMR U_1304, Inserm, University of Western Brittany (UBO), 29200 Brest, France
- Correspondence:
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Bourbonne V, Lucia F, Jaouen V, Bert J, Rehn M, Pradier O, Visvikis D, Schick U. VMAT-Based Planning Allows Sparing of a Spatial Dose Pattern Associated with Radiation Pneumonitis in Patients Treated with Radiotherapy for a Locally Advanced Lung Cancer. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Benziane-Ouaritini N, Zilli T, Ingrosso G, di Staso M, Trippa F, Francolini G, Meyer E, Achard V, Schick U, Cosset J, Martin E, Penna RR, Ferrari V, Giraud N, Pasquier C, Magne N, Anger E, Aristei C, Perrenec T, Gnep K, Pasquier D, Supiot S, Sargos P, Latorzeff I. Salvage Radiotherapy Guided by Functional Imaging for Macroscopic Local Recurrence Following Radical Prostatectomy: A Multicentric Retrospective Study. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Vilotte F, Pasquier D, Blanchard P, Supiot S, Khalifa J, Schick U, Lacornerie T, Vieillevigne L, Marre D, Chapet O, Latorzeff I, Magne N, Meyer E, Cao K, Belkacemi Y, Bibault J, Berge-Lefranc M, Faivre J, Gnep K, Guimas V, Hasbini A, Langrand-Escure J, Hennequin C, Graff P. Recommendations for stereotactic body radiation therapy for spine and non-spine bone metastases. A GETUG (French society of urological radiation oncolgists) consensus using a national two-round modified Delphi survey. Clin Transl Radiat Oncol 2022; 37:33-40. [PMID: 36052019 PMCID: PMC9424259 DOI: 10.1016/j.ctro.2022.08.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 08/06/2022] [Indexed: 11/15/2022] Open
Abstract
Background and purpose The relevance of metastasis-directed stereotactic body radiation therapy (SBRT) remains to be demonstrated through phase III trials. Multiple SBRT procedures have been published potentially resulting in a disparity of practices. Therefore, the french society of urological radiation oncolgists (GETUG) recognized the need for joint expert consensus guidelines for metastasis-directed SBRT in order to standardize practice in trials carried out by the group. Materials and methods After a comprehensive literature review, 97 recommendation statements were created regarding planning and delivery of spine bone (SBM) and non-spine bone metastases (NSBM) SBRT. These statements were then submitted to a national online two-round modified Delphi survey among main GETUG investigators. Consensus was achieved if a statement received ≥ 75 % agreements, a trend to consensus being defined as 65-74 % agreements. Any statement without consensus at round one was re-submitted in round two. Results Twenty-one out of 29 (72.4%) surveyed experts responded to both rounds. Seventy-five statements achieved consensus at round one leaving 22 statements needing a revote of which 16 achieved consensus and 5 a trend to consensus. The final rate of consensus was 91/97 (93.8%). Statements with no consensus concerned patient selection (3/19), dose and fractionation (1/11), prescription and dose objectives (1/9) and organs at risk delineation (1/15). The voting resulted in the writing of step-by-step consensus guidelines. Conclusion Consensus guidelines for SBM and NSBM SBRT were agreed upon using a validated modified Delphi approach. These guidelines will be used as per-protocole recommendations in ongoing and further GETUG clinical trials.
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Affiliation(s)
- F. Vilotte
- Department of Radiation Oncology, Institut Bergonié, 229 Cours de l'Argonne, 33076 Bordeaux, France
| | - D. Pasquier
- Department of Radiation Oncology, Centre Oscar Lambret, 3 Rue Frédéric Combemale, 59000 Lille, France
| | - P. Blanchard
- Department of Radiation Oncology, Institut Gustave Roussy, 114 Rue Edouard Vaillant, 94805 Villejuif, France
| | - S. Supiot
- Department of Radiation Oncology, Institut de Cancérologie de L'Ouest, Boulevard Professeur Jacques Monod, 44800 Saint Herblain, France
| | - J. Khalifa
- Department of Radiation Oncology, Institut Universitaire du Cancer de Toulouse-Oncopole, 1 AV Irène Joliot Curie, 31059 Toulouse, France
| | - U. Schick
- Department of Radiation Oncology, CHU de Brest, Hôpital Morvan, avenue Foch, 29200 Brest, France
| | - T. Lacornerie
- Division of Radiation Medical Physics, Centre Oscar Lambret, 3 Rue Frédéric Combemale, 59000 Lille, France
| | - L. Vieillevigne
- Division of Radiation Medical Physics, Institut Universitaire du Cancer de Toulouse-Oncopole, 1 AV Irène Joliot Curie, 31059 Toulouse, France
| | - D. Marre
- Division of Radiation Medical Physics, Groupe ONCORAD Garonne, Clinique Pasteur, Bât Atrium, 1 rue de la petite vitesse, 31300 Toulouse, France
| | - O. Chapet
- Department of Radiation Oncology, CH Lyon Sud 165 Chemin Du Grand Revoyet, 69310 Pierre-bénite, France
| | - I. Latorzeff
- Department of Radiation Oncology, Groupe ONCORAD Garonne, Clinique Pasteur, Bât Atrium, 1 rue de la petite vitesse, 31300 Toulouse, France
| | - N. Magne
- Department of Radiation Oncology, Institut de cancérologie Lucien Neuwirth, 108 bis AV Albert Raimond, 42270 Saint Priest en Jarez, France
| | - E. Meyer
- Department of Radiation Oncology, Centre François Baclesse, 3 Av. du Général Harris, 14000 Caen, France
| | - K. Cao
- Department of Radiation Oncology, Institut Curie Paris, 26 rue d’Ulm, 75005 Paris, France
| | - Y. Belkacemi
- Department of Radiation Oncology, Hôpital Henri-Mondor, 1 rue Gustave Eiffel, 94000 Créteil, France
| | - J.E. Bibault
- Department of Radiation Oncology, Hôpital Européen Georges Pompidou, 20 rue Leblanc, 75015 Paris, France
| | - M. Berge-Lefranc
- Department of Radiation Oncology, Centre Saint Michel, rue du Docteur Schweitzer, 17000 La Rochelle, France
| | - J.C. Faivre
- Department of Radiation Oncology, Institut de Cancérologie de Lorraine, 6 Av. de Bourgogne, 54519 Vandœuvre-lès-Nancy, France
| | - K. Gnep
- Department of Radiation Oncology, Centre Eugène Marquis, AV de la Bataille Flandres Dunkerque, 35000 Rennes, France
| | - V. Guimas
- Department of Radiation Oncology, Institut de Cancérologie de L'Ouest, Boulevard Professeur Jacques Monod, 44800 Saint Herblain, France
| | - A. Hasbini
- Department of Radiation Oncology, Clinique Pasteur, 32 r Auguste Kervern, 29200 Brest, France
| | - J. Langrand-Escure
- Department of Radiation Oncology, Institut de cancérologie Lucien Neuwirth, 108 bis AV Albert Raimond, 42270 Saint Priest en Jarez, France
| | - C. Hennequin
- Department of Radiation Oncology, Hôpital Saint Louis, 1 Avenue Claude Vellefaux, 75010 Paris, France
| | - P. Graff
- Department of Radiation Oncology, Institut Curie Saint Cloud, 35 rue Dailly, 92210 Saint Cloud, France
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Lucia F, Miranda O, Schick U, Bourbonne V, Duvergé L. Dose escalation by brachytherapy for gynecological cancers. Cancer Radiother 2022; 26:905-910. [DOI: 10.1016/j.canrad.2022.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/01/2022] [Indexed: 11/25/2022]
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Lucia F, Geier M, Schick U, Bourbonne V. Narrative Review of Synergistics Effects of Combining Immunotherapy and Stereotactic Radiation Therapy. Biomedicines 2022; 10:biomedicines10061414. [PMID: 35740435 PMCID: PMC9219862 DOI: 10.3390/biomedicines10061414] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/02/2022] [Accepted: 06/13/2022] [Indexed: 12/24/2022] Open
Abstract
Stereotactic radiotherapy (SRT) has become an attractive treatment modality in full bloom in recent years by presenting itself as a safe, noninvasive alternative to surgery to control primary or secondary malignancies. Although the focus has been on local tumor control as the therapeutic goal of stereotactic radiotherapy, rare but intriguing observations of abscopal (or out-of-field) effects have highlighted the exciting possibility of activating antitumor immunity using high-dose radiation. Furthermore, immunotherapy has revolutionized the treatment of several types of cancers in recent years. However, resistance to immunotherapy often develops. These observations have led researchers to combine immunotherapy with SRT in an attempt to improve outcomes. The benefits of this combination would come from the stimulation and suppression of various immune pathways. Thus, in this review, we will first discuss the immunomodulation induced by SRT with the promising results of preclinical studies on the changes in the immune balance observed after SRT. Then, we will discuss the opportunities and risks of the combination of SRT and immunotherapy with the preclinical and clinical data available in the literature. Furthermore, we will see that many perspectives are conceivable to potentiate the synergistic effects of this combination with the need for prospective studies to confirm the encouraging data.
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Affiliation(s)
- François Lucia
- Radiation Oncology Department, University Hospital, 29200 Brest, France; (U.S.); (V.B.)
- LaTIM, INSERM, UMR 1101, University of Brest, 29200 Brest, France
- Correspondence:
| | - Margaux Geier
- Medical Oncology Department, University Hospital, 29200 Brest, France;
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, 29200 Brest, France; (U.S.); (V.B.)
- LaTIM, INSERM, UMR 1101, University of Brest, 29200 Brest, France
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, 29200 Brest, France; (U.S.); (V.B.)
- LaTIM, INSERM, UMR 1101, University of Brest, 29200 Brest, France
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Sun XS, Le Guevelou J, Jacquemin J, Drouet Y, Sio TS, Bar-Sela G, Carrie C, Faivre JC, Khalifa J, Demiroz C, Qiu H, Schick U, Atalar B, Fakhry N, Mengue L, Pan J, Servagi-Vernat S, Thariat J. Impact of radiotherapy on survival in resected or unresectable anaplastic thyroid carcinomas, a Rare Cancer Network study. Cancer Radiother 2022; 26:717-723. [PMID: 35715353 DOI: 10.1016/j.canrad.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/04/2022] [Accepted: 01/14/2022] [Indexed: 11/15/2022]
Abstract
PURPOSE Anaplastic thyroid carcinomas (ATC) are a heterogenous group of tumors of overall dismal prognosis. We designed models to identify relevant prognostic factors of survival of irradiated ATC patients including radiotherapy modalities (field size, dose). MATERIAL AND METHODS Between 2000 and 2017, 166 ATC patients' treatments were divided into surgery and postoperative radiotherapy (poRT) or definitive radiotherapy (RT). Multiple imputation approach was used for missing data. Prognostic factors were identified using Lasso-penalized Cox modelling and predicted risk scores were built. RESULTS Patients undergoing RT (n=70) had more adverse patient and disease characteristics than those undergoing poRT (n=96). Corresponding median survival rates were 5.4 and 12.1 months, respectively. PoRT patients undergoing poRT more likely received extended-field radiotherapy with prophylactic nodal irradiation, but rather received platinum- vs. adriamycin-based chemoradiotherapy. Radiotherapy was conventionally fractionated, delivered >60Gy in 51.9% and 61.7% and used extended fields in 88.5% and 71.2% of patients with poRT or RT. Radiotherapy interruption rates for toxicity were similar in the two groups. The best poRT-group model identified age>45yo, PS≥1, pathologic tumor stage≥pT4b,>N1 and R2 resection as poor prognostic factors. The best RT-group model (C-index of 0.72) identified PS≥3,>N1 and extended-field radiotherapy with prophylactic nodal irradiation (as opposed to tumour-bed irradiation only) as poor prognostic factors. CONCLUSION In patients undergoing poRT, radiotherapy parameters had little influence over their survival irrespective of patient, disease characteristics, and quality of resection. In patients undergoing RT, extended-field radiotherapy improved survival in addition to PS and nodal stage.
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Affiliation(s)
- X S Sun
- Department of Radiation Therapy, University Hospital Besancon-Montbeliard, Montbeliard, France.
| | - J Le Guevelou
- Department of Radiation Oncology, Centre François Baclesse, Caen, France
| | - J Jacquemin
- Département Prévention et Santé Publique, Centre Léon Bérard, Lyon, France
| | - Y Drouet
- Département Prévention et Santé Publique, Centre Léon Bérard, Lyon, France
| | - T S Sio
- Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA
| | - G Bar-Sela
- Department of Radiation Oncology, Rambam health Care Campus, Haifa, Israel
| | - C Carrie
- Department of Radiation Oncology, Centre Leon Berard, Lyon, France
| | - J-C Faivre
- Department of Radiation Oncology, Institut de Cancérologie de Lorraine, Nancy, France
| | - J Khalifa
- Department of Radiation Oncology, Oncopole, Toulouse, France
| | - C Demiroz
- Department of Radiation Oncology, Uludag University school of medicine, Bursa, Turkey
| | - H Qiu
- Department of Radiation Oncology, University Hospital, Limoges, France
| | - U Schick
- Department of Radiation Oncology, CHRU Brest, Brest, France
| | - B Atalar
- Department of Radiation Oncology, University Hospital Acibadem MAA University, School of Medicine, Istanbul, Turkey
| | - N Fakhry
- Department of Surgery, CHU La Conception, Marseille, France
| | - L Mengue
- Department of Radiation Therapy, University Hospital Besancon-Montbeliard, Montbeliard, France
| | - J Pan
- Department of Radiation Oncology, Fujian Province Tumor Hospital, Fuzhou, China
| | - S Servagi-Vernat
- Department of Radiation Oncology, Institut Jean Godinot, Reims, France
| | - J Thariat
- Department of Radiation Oncology, Centre François Baclesse, Caen, France
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Benziane Ouaritini N, Zilli T, Ingrosso G, Pasquier D, renard Penna R, Ferrari V, Achard V, Pasquier C, Perennec T, Di Staso M, Mihoci I, Trippa F, Francolini G, Meyer E, Schick U, Cosset JM, Martin E, Supiot S, Latorzeff I, Sargos P. Salvage radiotherapy guided by functional imaging for macroscopic local recurrence following radical prostatectomy: A multicentric retrospective study. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.5089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
5089 Background: For prostate cancer (Pca), salvage radiotherapy (sRT) with or without androgen deprivation therapy (ADT) is currently the only curative treatment option in case of post-radical prostatectomy (RP) biochemical relapse (BR). Functional imaging techniques have shown that macroscopic recurrence (MR) in the prostate bed (PB) are frequent. In this study, we aimed to assess efficacy and safety of sRT in patients with MR inside the PB proven by functional imaging. Methods: A multicenter retrospective study was conducted in 16 European centers. Patients were included if they displayed BR after RP for Pca, with MR only in the PB proven by functional imaging. All patients had to be eligible for sRT. The overall population was divided along 4 groups according to the delivered treatment: dose escalation on MR (A), dose escalation on PB (B), double dose escalation MR+PB (C), no dose escalation (D). The primary endpoint was progression-free survival (PFS). Secondary outcomes included the metastasis-free survival (MFS), biochemical PFS (bPFS) and overall survival (OS). Grade ≥2 genito-urinary (GU) and gastro-intestinal (GI) acute and late toxicities were collected. Results: Between January 2000 and December 2019, 363 patients with isolated MR after RP for Pca were treated by sRT. The median pre-sRT PSA level was 0.63ng/mL (range, 0.2-23.6). At the time of BR, 266 (73%) patients presented MR in the PB proven by magnetic resonance imaging, and 110 (30%) by positron emission tomography. The median follow-up was 53.6 months (range, 47.52; 58.32). The 5-year PFS and MFS were 70% (95%CI [63.8-75.4]) and 83.7% (95%CI [78.4-87.8]), respectively. Grade ≥2 GU and GI late toxicities were found in 43 (12%) and 11 (3%) patients, respectively. A 5-year PFS benefit was highlighted for groups A, B and C (313 patients) when the MR dose was ≥72Gy: 72,8% (95%CI 64.6-79.4) versus 60.3% (95%CI 48,4-70,3), p = 0.03. Conclusions: In a modern series integrating functional imaging data, we confirmed that sRT is effective in the event of MR inside the PB, with an acceptable toxicity profile. In addition, with the help of functional imaging, we found that dose escalated ≥ 72 Gy on the MR had a significant impact on PFS. Prospective data should further investigate the correlation between MR-targeted dose escalation and PFS.
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Affiliation(s)
| | - Thomas Zilli
- Department of Radiation Oncology, Geneva University Hospital, Geneva, Switzerland
| | | | - David Pasquier
- Academic Radiation Oncology Department, Centre Oscar Lambret, Lille, France
| | | | | | | | | | | | | | | | | | - Giulio Francolini
- Radiation Oncology Unit, Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Emmanuel Meyer
- Department of Radiation Oncology, Centre François Baclesse, Caen, France
| | - Ulrike Schick
- Institut de Cancérologie et d'Hématologie CHRU de Brest, Brest, France
| | | | - Etienne Martin
- Department of Radiation Oncology, Centre Georges-François Leclerc, Dijon, France
| | - Stephane Supiot
- Institut de Cancerologie de l'Ouest-Rene Gauducheau, Nantes, France
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Bourbonne V, Lucia F, Jaouen V, Bert J, Rehn M, Pradier O, Visvikis D, Schick U. PO-1270 Reduction of the acute pulmonary toxicity with a VMAT adaptive radiotherapy in lung cancer patients. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03234-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Benziane N, Sargos P, Zilli T, Giraud A, Ingrosso G, Di Staso M, Trippa F, Meyer E, Francolini G, Schick U, Cosset J, Martin E, Ferrari V, Achard V, Giraud N, Pasquier C, Magné N, Pasquier D, Supiot S, Latorzeff I, Gnep K, Pommier P, Perennec T, Zaine H. OC-0607 Radiotherapy guided by functional imaging for macroscopic local recurrence following prostatectomy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02629-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Benziane-Ouaritini N, Zilli T, Giraud A, Ingrosso G, Di Staso M, Trippa F, Meyer E, Francolini G, Schick U, Cosset JM, Martin E, Ferrari V, Achard V, Giraud N, Pasquier C, Magné N, Pasquier D, Supiot S, Latorzeff I, Sargos P. Salvage radiotherapy guided by functional imaging for macroscopic local recurrence following radical prostatectomy: A multicentric retrospective study. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
251 Background: For prostate cancer (Pca), salvage radiotherapy (sRT) with or without androgen deprivation therapy (ADT) is currently the only curative treatment option in case of post-radical prostatectomy (RP) biochemical relapse (BR). Functional imaging techniques have shown that macroscopic recurrence (MR) in the prostate bed (PB) are frequent. In this study, we aimed to assess efficacy and safety of sRT in patients with MR inside the PB proven by functional imaging. Methods: A multicenter retrospective study was conducted in 16 European centers. Patients were included if they displayed BR after RP for Pca, with MR only in the PB proven by functional imaging. All patients had to be eligible for sRT. The overall population was divided along 4 groups according to the delivered treatment: dose escalation on MR (A), dose escalation on PB (B), double dose escalation MR+PB (C), no dose escalation (D). The primary endpoint was progression-free survival (PFS). Secondary outcomes included the metastasis-free survival (MFS), biochemical PFS (bPFS) and overall survival (OS). Grade ≥2 genito-urinary (GU) and gastro-intestinal (GI) acute and late toxicities were collected. Results: Between January 2000 and December 2019, 363 patients with isolated MR after RP for Pca were treated by sRT. The median pre-sRT PSA level was 0.63ng/mL (range, 0.2-23.6). At the time of BR, 266 (73%) patients presented MR in the PB proven by magnetic resonance imaging, and 110 (30%) by positron emission tomography. The median follow-up was 53.6 months (range, 47.52; 58.32). The 5-year PFS and MFS were 70% (95%CI [63.8-75.4]) and 83.7% (95%CI [78.4-87.8]), respectively. Grade ≥2 GU and GI late toxicities were found in 43 (12%) and 11 (3%) patients, respectively. A 5-year PFS benefit was highlighted for groups A, B and C (313 patients) when the MR dose was ≥72Gy: 72,8% (95%CI 64.6-79.4) versus 60.3% (95%CI 48,4-70,3), p = 0.03. Conclusions: In a modern series integrating functional imaging data, we confirmed that sRT is effective in the event of MR inside the PB, with an acceptable toxicity profile. Prospective data should further investigate the correlation between MR-targeted dose escalation and PFS.
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Affiliation(s)
| | - Thomas Zilli
- Department of Radiation Oncology, Geneva University Hospital, Geneva, Switzerland
| | | | | | | | | | - Emmanuel Meyer
- Department of Radiation Oncology, Centre François Baclesse, Caen, France
| | - Giulio Francolini
- Radiation Oncology Unit, Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Ulrike Schick
- Institut de Cancérologie et d'Hématologie CHRU de Brest, Brest, France
| | | | | | | | | | | | | | - Nicolas Magné
- Medical Oncology Department, AP-HP, Salpetriere Hospital, University Paris VI, Paris, France
| | | | - Stephane Supiot
- Institut de Cancerologie de l'Ouest-Rene Gauducheau, Nantes, France
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Maajem M, Leclère JC, Bourhis D, Tissot V, Icard N, Arnaud L, Le Pennec R, Dissaux G, Gujral DM, Salaün PY, Schick U, Abgral R. Comparison of Volumetric Quantitative PET Parameters Before and After a CT-Based Elastic Deformation on Dual-Time 18FDG-PET/CT Images: A Feasibility Study in a Perspective of Radiotherapy Planning in Head and Neck Cancer. Front Med (Lausanne) 2022; 9:831457. [PMID: 35223928 PMCID: PMC8873113 DOI: 10.3389/fmed.2022.831457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background The use of 18FDG-PET/CT for delineating a gross tumor volume (GTV, also called MTV metabolic tumor volume) in radiotherapy (RT) planning of head neck squamous cell carcinomas (HNSCC) is not included in current recommendations, although its interest for the radiotherapist is of evidence. Because pre-RT PET scans are rarely done simultaneously with dosimetry CT, the validation of a robust image registration tool and of a reproducible MTV delineation method is still required. Objective Our objective was to study a CT-based elastic registration method on dual-time pre-RT 18FDG-PET/CT images to assess the feasibility of PET-based RT planning in patients with HNSCC. Methods Dual-time 18FDG-PET/CT [whole-body examination (wbPET) + 1 dedicated step (headPET)] were selected to simulate a 2-times scenario of pre-RT PET images deformation on dosimetry CT. ER-headPET and RR-headPET images were, respectively, reconstructed after CT-to-CT rigid (RR) and elastic (ER) registrations of the headPET on the wbPET. The MTVs delineation was performed using two methods (40%SUVmax, PET-Edge). The percentage variations of several PET parameters (SUVmax, SUVmean, SUVpeak, MTV, TLG) were calculated between wbPET, ER-headPET, and RR-headPET. Correlation between MTV values was calculated (Deming linear regression). MTVs intersections were assessed by two indices (OF, DICE) and compared together (Wilcoxon test). Additional per-volume analysis was evaluated (Mann-Whitney test). Inter- and intra-observer reproducibilities were evaluated (ICC = intra-class coefficient). Results 36 patients (30M/6F; median age = 65 y) were retrospectively included. The changes in SUVmax, SUVmean and SUVpeak values between ER-headPET and RR-headPET images were <5%. The variations in MTV values between ER-headPET and wbPET images were −6 and −3% with 40%SUVmax and PET Edge, respectively. Their correlations were excellent whatever the delineation method (R2 > 0.99). The ER-headPET MTVs had significant higher mean OF and DICE with the wbPET MTVs, for both delineation methods (p ≤ 0.002); and also when lesions had a volume > 5cc (excellent OF = 0.80 with 40%SUVmax). The inter- and intra-observer reproducibilities for MTV delineation were excellent (ICC ≥ 0.8, close to 1 with PET-Edge). Conclusion Our study demonstrated no significant changes in MTV after an elastic deformation of pre-RT 18FDG-PET/CT images acquired in dual-time mode. This opens possibilities for HNSCC radiotherapy planning improvement by transferring GTV-PET on dosimetry CT.
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Affiliation(s)
- Meriem Maajem
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
| | | | - David Bourhis
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
| | - Valentin Tissot
- Department of Radiology, Brest University Hospital, Brest, France
| | - Nicolas Icard
- Department of Nuclear Medicine, Saint-Brieuc Regional Hospital, Saint-Brieuc, France
| | - Laëtitia Arnaud
- Department of Nuclear Medicine, Saint-Brieuc Regional Hospital, Saint-Brieuc, France
| | - Romain Le Pennec
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
| | - Gurvan Dissaux
- Department of Radiotherapy, Brest University Hospital, Brest, France
| | - Dorothy M Gujral
- Clinical Oncology Department, Imperial College Healthcare National Health Service (NHS) Trust, Charing Cross Hospital, London, United Kingdom
- Department of Cancer and Surgery, Imperial College London, London, United Kingdom
| | - Pierre-Yves Salaün
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
| | - Ulrike Schick
- Department of Radiotherapy, Brest University Hospital, Brest, France
| | - Ronan Abgral
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
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Latorzeff I, Ploussard G, Schick U, Benziane-Ouaritini N, Pasquier D, Sargos P. [Erratum to "Salvage radiotherapy after prostatectomy - what do in case of elevated postoperative PSA or macroscopic relapse?" [Cancer Radiother. 25 (2021) 822-9]]. Cancer Radiother 2022; 26:424. [PMID: 35039241 DOI: 10.1016/j.canrad.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- I Latorzeff
- Département de radiothérapie-oncologie, Bât Atrium, clinique Pasteur, 1, rue de la Petite-Vitesse, 31300 Toulouse, France.
| | - G Ploussard
- Département d'urologie, clinique La Croix du Sud, Quint-Fonsegrives, France
| | - U Schick
- Département de radiothérapie-oncologie, CHU de Brest, Brest, France
| | - N Benziane-Ouaritini
- Département de radiothérapie, institut Bergonié, 229, cours de l'Argonne, 33076 Bordeaux cedex, France
| | - D Pasquier
- Département universitaire de radiothérapie, centre O.-Lambret, 3, rue F.-Combemale, 59020 Lille, France
| | - P Sargos
- Département de radiothérapie, institut Bergonié, 229, cours de l'Argonne, 33076 Bordeaux cedex, France
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Sellami S, Bourbonne V, Hatt M, Tixier F, Bouzid D, Lucia F, Pradier O, Goasduff G, Visvikis D, Schick U. Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images. Acta Oncol 2022; 61:73-80. [PMID: 34632924 DOI: 10.1080/0284186x.2021.1983207] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Radiotherapy (RT) for head and neck cancer is now guided by cone-beam computed tomography (CBCT). We aim to identify a CBCT radiomic signature predictive of progression to RT. MATERIAL AND METHODS A cohort of 93 patients was split into training (n = 60) and testing (n = 33) sets. A total of 88 features were extracted from the gross tumor volume (GTV) on each CBCT. Receiver operating characteristic (ROC) curves were used to determine the power of each feature at each week of treatment to predict progression to radio(chemo)therapy. Only features with AUC > 0.65 at each week were pre-selected. Absolute differences were calculated between features from each weekly CBCT and baseline CBCT1 images. The smallest detectable change (C = 1.96 × SD, SD being the standard deviation of differences between feature values calculated on CBCT1 and CBCTn) with its confidence interval (95% confidence interval [CI]) was determined for each feature. The features for which the change was larger than C for at least 5% of patients were then selected. A radiomics-based model was built at the time-point that showed the highest AUC and compared with models relying on clinical variables. RESULTS Seven features had an AUC > 0.65 at each week, and six exhibited a change larger than the predefined CI 95%. After exclusion of inter-correlated features, only one parameter remains, Coarseness. Among clinical variable, only hemoglobin value was significant. AUC for predicting the treatment response were 0.78 (p = .006), 0.85 (p < .001), and 0.99 (p < .001) for clinical, CBCT4-radiomics (Coarseness) and clinical + radiomics based models respectively. The mean AUC of this last model on a 5-fold cross-validation was 0.80 (±0.09). On the testing cohort, the best prediction was given by the combined model (balanced accuracy [BAcc] 0.67 , p < .001). CONCLUSIONS We described a feature selection methodology for delta-radiomics that is able to select reproducible features which are informative due to their change during treatment. A selected delta radiomics feature may improve clinical-based prediction models.
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Affiliation(s)
- S. Sellami
- Radiation Oncology Department, University Hospital, Brest, France
| | - V. Bourbonne
- Radiation Oncology Department, University Hospital, Brest, France
| | - M. Hatt
- INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
| | - F. Tixier
- INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
| | - D. Bouzid
- INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
| | - F. Lucia
- Radiation Oncology Department, University Hospital, Brest, France
- INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
| | - O. Pradier
- Radiation Oncology Department, University Hospital, Brest, France
- INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
| | - G. Goasduff
- Radiation Oncology Department, University Hospital, Brest, France
| | - D. Visvikis
- INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
| | - U. Schick
- Radiation Oncology Department, University Hospital, Brest, France
- INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
- Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
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Villa M, Bert J, Valeri A, Schick U, Visvikis D. Fast Monte Carlo-based Inverse Planning for Prostate Brachytherapy by Using Deep Learning. IEEE Trans Radiat Plasma Med Sci 2022. [DOI: 10.1109/trpms.2021.3060191] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abstract
We present the updated recommendations of the French society for radiation oncology on radiotherapy and pregnancy. The occurrence of cancer during pregnancy is a rare event (approximately 1 in 1000 pregnancies). The risks for the embryo or the foetus depend on the gestational age at the time of irradiation. The main risks are malformations with microcephaly and mental retardation. There is also a risk of radiation-induced cancer in the unborn child. In the case of only supradiaphragmatic irradiation, radiotherapy can be performed most often in pregnant women without risk to the foetus. On the other hand, in the case of an indication for subdiaphragmatic irradiation, therapeutic termination of the pregnancy should be proposed. In all cases, when radiotherapy is chosen, a phantom estimation of the dose delivered to the foetus, confirmed by in vivo measurement, is recommended. Conformational radiotherapy is the preferred technique because of the lower dose delivered to the foetus (except in tumour locations where other techniques such as IMRT are recommended).
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Affiliation(s)
- M Michalet
- Institut du cancer de Montpellier, 208, avenue des Apothicaires, 34298 Montpellier, France.
| | - C Dejean
- Centre Antoine-Lacassagne, 33, avenue de Valombrose, 06100 Nice, France
| | - U Schick
- CHRU de Brest, 2, avenue Foch, 29200 Brest, France
| | - C Durdux
- Hôpital européen Georges-Pompidou, APHP, 20, rue Leblanc, 75015 Paris, France
| | - A Fourquet
- Institut Curie, 26, rue d'Ulm, 75005 Paris, France
| | - Y Kirova
- Institut Curie, 26, rue d'Ulm, 75005 Paris, France
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Giraud N, Benziane-Ouaritini N, Schick U, Beauval JB, Chaddad A, Niazi T, Faye MD, Supiot S, Sargos P, Latorzeff I. Post-Operative Radiotherapy in Prostate Cancer: Is It Time for a Belt and Braces Approach? Front Oncol 2021; 11:781040. [PMID: 34881187 PMCID: PMC8647553 DOI: 10.3389/fonc.2021.781040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 10/27/2021] [Indexed: 11/23/2022] Open
Abstract
Approximately 30% of patients treated with radical prostatectomy (RP) for prostate cancers experience biochemical recurrence (BCR). Post-operative radiation therapy (RT) can be either offered immediately after the surgery in case of aggressive pathological features or proposed early if BCR occurs. Until recently, little data were available regarding the optimal RT timing, protocol, volumes to treat, and the benefit of adding androgen deprivation therapies to post-operative RT. In this review, we aim to pragmatically discuss current literature data on these points. Early salvage RT appears to be the optimal post-operative approach, improving oncological outcomes especially with low prostate-specific antigen (PSA) levels, as well as sparing several unnecessary adjuvant treatments. The standard RT dose is still 64–66 Gy to the prostate bed in conventional fractionation, but hypofractionation protocols are emerging pending on late toxicity data. Several scientific societies have published contouring atlases, even though they are heterogeneous and deserve future consensus. During salvage RT, the inclusion of pelvic lymph nodes is also controversial, but preliminary data show a possible benefit for PSA > 0.34 ng/ml at the cost of increased hematological side effects. Concomitant ADT and its duration are also discussed, possibly advantageous (at least in terms of metastasis-free survival) for PSA rates over 0.6 ng/ml, taking into account life expectancy and cardiovascular comorbidities. Intensified regimens, for instance, with new-generation hormone therapies, could further improve outcomes in carefully selected patients. Finally, recent advances in molecular imaging, as well as upcoming breakthroughs in genomics and artificial intelligence tools, could soon reshuffle the cards of the current therapeutic strategy.
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Affiliation(s)
- Nicolas Giraud
- Radiation Oncology Department, Institut Bergonié, Bordeaux, France
| | | | - Ulrike Schick
- Radiation Oncology Department, University Hospital, Brest, France
| | | | - Ahmad Chaddad
- School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, China
| | - Tamim Niazi
- Division of Radiation Oncology, Department of Oncology, McGill University, Montreal, QC, Canada
| | - Mame Daro Faye
- Division of Radiation Oncology, Department of Oncology, McGill University, Montreal, QC, Canada
| | - Stéphane Supiot
- Radiation Oncology Department, Institut de Cancérologie de l'Ouest, Nantes Saint-Herblain, France
| | - Paul Sargos
- Radiation Oncology Department, Institut Bergonié, Bordeaux, France
| | - Igor Latorzeff
- Radiation Oncology Department, Clinique Pasteur, Toulouse, France
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Lombion N, Robin P, Tempescul A, LE Roux PY, Schick U, Guillerm G, Ianotto JC, Berthou C, Salaün PY, Abgral R. Prognostic value of interim FDG PET-CT in patients older than 60 years with diffuse large B-cell lymphoma treated by PMitCEBO plus rituximab. Comparison between Deauville 5-point scale and International Harmonization Project criteria. Q J Nucl Med Mol Imaging 2021; 65:402-409. [PMID: 35133099 DOI: 10.23736/s1824-4785.16.02894-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Advanced age is an independent poor prognostic factor of diffuse large B-cell lymphoma (DLBCL). PMitCEBO (mitoxantrone, cyclophosphamide, etoposide, vincristine, bleomycin, and prednisolone) is an alternative to the cyclophosphamide, doxorubicin, vincristine, and prednisolone regimen to decrease side effects in elderly patients. Many studies have shown prognostic value of an interim FDG PET-CT to predict survival. A recent consensus (ICML, Lugano 2013) has suggested using the 5-point scale Deauville criteria instead of those of the International Harmonization Project (IHP) to visually assess the response on interim PET. The objective of this study was to evaluate the prognostic value of an interim FDG PET-CT in patients older than 60 with treated DLBCL and to compare IHP and 5-PS Deauville visual interpretation to predict survival. METHODS Forty-eight patients (mean age 73.2±5.2 years) treated by R-PMitCEBO for DLBCL undergoing FDG PET-CT before and after 3 cycles of treatment were retrospectively included. Event-free survival and overall survival were determined by Kaplan-Meier method and compared with interim PET-CT results using IHP and 5-PS Deauville criteria. RESULTS Interim PET results using 5-PS Deauville criteria were significantly correlated with EFS (P<0.0001) and OS (P=0.001) whereas they were moderately correlated with EFS (P=0.046) and not with OS (P=0.106) using IHP criteria. Two-year EFS and OS rates were 86.5% and 89.2%, respectively, for patients in 1-3 score group, and 27.3% and 36.4%, respectively, for patients in ≥4 score group using the Deauville criteria. CONCLUSIONS Our results confirmed the prognostic value of an interim PET-CT in elderly patients with DLBCL and the better performance of the 5-PS Deauville criteria.
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Affiliation(s)
- Naelle Lombion
- Department of Hematology, University Hospital of Brest, Brest, France
| | - Philippe Robin
- Department of Nuclear Medicine, University Hospital of Brest, Brest, France
| | - Adrian Tempescul
- Department of Hematology, University Hospital of Brest, Brest, France
| | | | - Ulrike Schick
- Department of Oncology-Radiotherapy, University Hospital of Brest, Brest, France
| | - Gaëlle Guillerm
- Department of Hematology, University Hospital of Brest, Brest, France
| | | | - Christian Berthou
- Department of Hematology, University Hospital of Brest, Brest, France
| | - Pierre-Yves Salaün
- Department of Nuclear Medicine, University Hospital of Brest, Brest, France
| | - Ronan Abgral
- Department of Nuclear Medicine, University Hospital of Brest, Brest, France -
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Bordron A, Bourbonne V, Emmanuel R, Badic B, Miranda O, Pradier O, Hatt M, Visvikis D, Lucia F, Schick U. Prediction of Complete Pathological Response to Neo-Adjuvant Chemoradiotherapy Using Magnetic Resonance Imaging-Based Radiomics Analysis in Locally Advanced Rectal Cancer. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Bourbonne V, Jaouen V, Hatt M, Pradier O, Visvikis D, Lucia F, Schick U. Development and Validation of a Spatial Dose Pattern Based Model Predicting Acute Pulmonary Toxicity in Patients Treated With Volumetric Arc-Therapy for Locally Advanced Lung Cancer. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Latorzeff I, Ploussard G, Schick U, Benziane N, Pasquier D, Sargos P. [Salvage radiotherapy after prostatectomy - what do do in case of elevated post operative PSA or macroscopic relapse?]. Cancer Radiother 2021; 25:822-829. [PMID: 34702645 DOI: 10.1016/j.canrad.2021.08.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 02/03/2023]
Abstract
The management of the postoperative biological relapse of prostate cancer is most often based on salvage radiotherapy (RT) and a variable duration of hormone therapy (HT) in addition. The indications for RT±HT become more consensual for the adjuvant postoperative situation or in the event of a rising PSA level after a period where an undetectable PSA level was achieved. On the other hand, in the event of detectable PSA immediately postoperatively or in the event of a biological recurrence with macroscopic relapse in the prostate bed seen on conventional imaging assessment, the treatment options are still being evaluated. This article will describe these 2 situations and their current management but also will come through assessments with the contribution of modern imaging and new treatment options in terms of RT dose and RT±HT combination.
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Affiliation(s)
- I Latorzeff
- Département de radiothérapie-oncologie, Bât Atrium, clinique Pasteur, 1, rue de la Petite-Vitesse, 31300 Toulouse, France.
| | - G Ploussard
- Département d'urologie, clinique La Croix du Sud, Quint-Fonsegrives, France
| | - U Schick
- Département de radiothérapie-oncologie, CHU de Brest, Brest, France
| | - N Benziane
- Département de radiothérapie, institut Bergonié, 229 cours de l'Argonne, 33076 Bordeaux cedex, France
| | - D Pasquier
- Département universitaire de radiothérapie, centre O.-Lambret, 3, rue F.-Combemale, 59020 Lille, France
| | - P Sargos
- Département de radiothérapie, institut Bergonié, 229 cours de l'Argonne, 33076 Bordeaux cedex, France
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Bourbonne V, Jaouen V, Rehn M, Hatt M, Pradier O, Visvikis D, Lucia F, Schick U. Développement et validation d’un modèle basé sur l’analyse par voxel pour la prédiction de la toxicité pulmonaire aiguë chez les patients pris en charge par arcthérapie volumétrique pour un cancer du poumon localement évolué. Cancer Radiother 2021. [DOI: 10.1016/j.canrad.2021.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ollivier L, Orione C, Champiat S, Lucia F, Misery L, Legoupil D, Pradier O, Bourbonne V, Kacperek C, Stefan A, Stefan D, Thillays F, Rio E, Vaugier L, Lesueur P, Supiot S, Schick U, Kao W. Réponses abscopales chez les patients atteints de mélanome métastatique : étude de cohorte multicentrique nationale. Cancer Radiother 2021. [DOI: 10.1016/j.canrad.2021.07.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Bordron A, Bourbonne V, Rio E, Badic B, Miranda O, Pradier O, Hatt M, Visvikis D, Lucia F, Schick U. Prédiction de la réponse pathologique complète à la chimioradiothérapie néoadjuvante à l’aide d’une analyse radiomique basée sur l’imagerie par résonance magnétique pour le cancer du rectum localement évolué. Cancer Radiother 2021. [DOI: 10.1016/j.canrad.2021.07.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Bourgier C, Cowen D, Castan F, Lemanski C, Gourgou S, Rivera S, Labib A, Peignaux K, Blanc-Onfroy ML, Benyoucef A, Mege A, Douadi-Gaci Z, Racadot S, Latorzeff I, Schick U, Jacquot S, Massabeau C, Guilbert P, Geffrelot J, Ellis S, Lecouillard I, Breton-Callu C, Richard-Tallet A, Boulbair F, Cretin J, Belkacémi Y, Bons F, Azria D, Fenoglietto P. Quality assurance program and early toxicities in the phase III BONBIS randomized trial evaluating the role of a localized radiation boost in ductal carcinoma in situ. Radiother Oncol 2021; 164:57-65. [PMID: 34571090 DOI: 10.1016/j.radonc.2021.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 09/15/2021] [Accepted: 09/19/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE To describe the quality assurance (QA) program and early toxicities in the phase III randomized trial BONBIS (NCT00907868) on the role of a localized radiation boost in ductal carcinoma in situ (DCIS). MATERIALS AND METHODS From November 2008 to July 2014, 2004 patients were randomized in arm A (only whole breast radiotherapy, WBRT) and arm B (WBRT + boost). The QA program involved 44 participant centers that performed the dummy run (DR). Compliance and uniformity of clinical target volume (CTV) delineations, and dose prescription and delivery according to the BONBIS trial radiotherapy guidelines were analyzed. Acute toxicities (during and up to 3 months after radiotherapy completion, NCI-CTCAE v3.0 classification) were evaluated in 1929 patients. RESULTS The differences in whole breast CTV (CTV1) and planning target volume (PTV1) were ≤10%, and the differences in boost CTV (CTV2) and PTV (PTV2) were ≥20% compared with the reference DR values; 95% of the prescribed dose encompassed 98.7% and 100% of the median CTV1 and CTV2. Grade ≥2 breast erythema (38.3% vs. 22.4% of grade 2 and 5.4% vs. 2.1% of grade 3, p < 0.001), grade ≥2 dermatitis (2.8% vs. 0.7%, p < 0.001), and grade 2 hyperpigmentation (6.9% vs. 3.6%, p = 0.005) were more frequent in arm B than arm A. No acute lung or cardiac toxicity was observed. Smoking history, large breast size, and large breast CTV were strong predictive factors of grade ≥2 acute skin toxicities. CONCLUSIONS The QA program showed deviations in breast and tumor bed delineation. The boost significantly increased acute skin toxicities.
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Affiliation(s)
- Celine Bourgier
- Univ Montpellier, Montpellier, France; Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Montpellier, France; Fédération Universitaire d'Oncologie Radiothérapie d'Occitanie Méditerranée, Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Didier Cowen
- Aix Marseille Univ, APHM, Hôpital Timone-Hôpital Nord, Département de Radiothérapie, Marseille, France
| | - Florence Castan
- Unité de Biométrie, Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Claire Lemanski
- Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Montpellier, France; Fédération Universitaire d'Oncologie Radiothérapie d'Occitanie Méditerranée, Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Sophie Gourgou
- Unité de Biométrie, Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Sofia Rivera
- Gustave Roussy, Département d'oncologie radiothérapie, Villejuif, France; Université Paris-Saclay, Inserm, U1030, Villejuif, France
| | | | - Karine Peignaux
- Département d'Oncologie Radiothérapie Centre Georges-François LECLERC, Dijon, France
| | | | - Ahmed Benyoucef
- Département de Radiothérapie et de Physique médicale, Centre Henri Becquerel, Rouen, France
| | - Alice Mege
- Sainte Catherine, Institut du Cancer Avignon-Provence, Avignon, France
| | | | | | - Igor Latorzeff
- Département de radiothérapie-oncologie, Clinique Pasteur, Toulouse, France
| | - Ulrike Schick
- Department of Radiation Oncology, University Hospital of Brest, UBO, LaTIM UMR 1101, Brest, France
| | - Stephane Jacquot
- Centre de Cancerologie du Grand Montpellier, Montpellier, France
| | - Carole Massabeau
- Département de Radiotherapie, Institut Claudius Regaud IUCT-O, Toulouse, France
| | | | - Julien Geffrelot
- Service de Radiothérapie, Centre François Baclesse, Caen, France
| | - Stephen Ellis
- Service de Radiothérapie, Centre Catalan d'Oncologie, Perpignan, France
| | | | | | - Agnès Richard-Tallet
- Institut Paoli-Calmettes, département d'Oncologie Radiothérapie, Marseille, France; Centre de Recherche en Cancérologie de Marseille (CRCM), INSERM UMR 1068, Marseille, France
| | | | | | - Yazid Belkacémi
- Department of Radiation Oncology and Henri Mondor Breast Center, AP HP - Henri Mondor University Hospital, University of Paris-Est (UPEC), INSERM Unit 955, Team 21-IMRB, Creteil, France
| | - Françoise Bons
- Fédération Universitaire d'Oncologie Radiothérapie d'Occitanie Méditerranée, Institut régional du Cancer Montpellier (ICM), Montpellier, France; Service de Radiothérapie, CHU Nîmes, France
| | - David Azria
- Univ Montpellier, Montpellier, France; Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Montpellier, France; Fédération Universitaire d'Oncologie Radiothérapie d'Occitanie Méditerranée, Institut régional du Cancer Montpellier (ICM), Montpellier, France
| | - Pascal Fenoglietto
- Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Montpellier, France; Fédération Universitaire d'Oncologie Radiothérapie d'Occitanie Méditerranée, Institut régional du Cancer Montpellier (ICM), Montpellier, France
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Bourbonne V, Lucia F, Jaouen V, Bert J, Rehn M, Pradier O, Visvikis D, Schick U. Development and prospective validation of a spatial dose pattern based model predicting acute pulmonary toxicity in patients treated with volumetric arc-therapy for locally advanced lung cancer. Radiother Oncol 2021; 164:43-49. [PMID: 34547351 DOI: 10.1016/j.radonc.2021.09.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 08/25/2021] [Accepted: 09/10/2021] [Indexed: 12/25/2022]
Abstract
INTRODUCTION (Chemo)-radiotherapy is the standard treatment for patients with locally advanced lung cancer (LALC) not accessible to surgery. Despite strict application of dose constraints, acute toxicities such as acute pulmonary toxicity (APT) remain frequent, and may impact treatment's compliance and patients' quality of life. Previously, on a population treated with intensity-modulated photon therapy or passive scattering proton therapy, spatial dose patterns associated with APT were identified in the lower lungs, especially in the posterior right lung. In the present study, we aim to define these spatial dose patterns on a retrospective cohort treated by volumetric-arctherapy (VMAT) and to validate our findings prospectively. METHODS For the training cohort, we retrospectively included all patients treated in our institution by VMAT for a LALC between 2015 and 2018. APT was scored according to the CTCAE v4.0 scale. All dose maps were registered to a thorax phantom using a segmentation-based elastic registration. Voxel-based analysis of local dose differences was performed with a non-parametric permutation test accounting for n = 10.000 permutations, producing a 3-dimensional significance maps on which clusters of voxels that exhibited significant dose differences (p < 0.05) between the two toxicity groups (APT ≥ grade 2 vs APT < grade 2) were identified. A prediction model (Pmap-Model) was then built using a neural network approach and then applied to an observational prospective cohort for validation. The model was evaluated using the Area under the curve (AUC) and the balanced accuracy (Bacc: mean of the sensitivity and specificity). RESULTS 165 and 42 patients were included in the training and validation cohorts, with respective APT rates of 22.4% and 19.1%. In the training cohort, a cluster of voxels (Pmap-region) was identified in the posterior right lung. In the training cohort, the Pmap-Model combining 11 features among which the mean dose to the Pmap-region resulted in an AUC of 0.99 and a Bacc of 99.2 using an 8% probability threshold. Using the same voxel cluster on the validation cohort, the Pmap-model resulted in an AUC of 0.81 and a Bacc of 82.0. CONCLUSION Our APT-prediction model was successfully validated in a prospective cohort treated by VMAT. Regional radiosensitivity should be considered in usual lung dose constraints, opening the possibility of easily implementable adaptive dosimetry planning.
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Affiliation(s)
- Vincent Bourbonne
- Department of Radiation Oncology, University Hospital, Brest, France; LaTIM UMR 1101 INSERM, University Brest, Brest, France.
| | - François Lucia
- Department of Radiation Oncology, University Hospital, Brest, France; LaTIM UMR 1101 INSERM, University Brest, Brest, France
| | - Vincent Jaouen
- LaTIM UMR 1101 INSERM, University Brest, Brest, France; Institut Mines-Télécom Atlantique, Brest, France
| | - Julien Bert
- LaTIM UMR 1101 INSERM, University Brest, Brest, France
| | - Martin Rehn
- Department of Radiation Oncology, University Hospital, Brest, France
| | - Olivier Pradier
- Department of Radiation Oncology, University Hospital, Brest, France; LaTIM UMR 1101 INSERM, University Brest, Brest, France
| | | | - Ulrike Schick
- Department of Radiation Oncology, University Hospital, Brest, France; LaTIM UMR 1101 INSERM, University Brest, Brest, France
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Le Noac'h P, Hemon P, Benguigui D, Robinet G, Descourt R, Quere G, Babey H, Annic J, Bourhis A, Schick U, Pers JO, Uguen A, Geier M. 71P Searching for predictive biomarkers of efficacy in small cell lung cancer (SCLC) patients treated with chemotherapy-immunotherapy combination using imaging mass cytometry (the HYPE study). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Schick U, Latorzeff I, Sargos P. Postoperative radiotherapy in prostate cancer: Dose and volumes. Cancer Radiother 2021; 25:674-678. [PMID: 34400088 DOI: 10.1016/j.canrad.2021.07.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/05/2021] [Accepted: 07/24/2021] [Indexed: 11/29/2022]
Abstract
Approximately thirty percent of patients experience biochemical recurrence after radical prostatectomy for prostate cancer. Early salvage radiotherapy has recently become a standard of care in this setting. The purpose of this review is first to summarize current knowledge in terms of dose to the prostate bed in light of the recent SAKK 09/10 randomized phase III trial results. The evidence on moderate hypofractionation will also be discussed whereas extreme hypofractionation remains highly investigational. Regarding target volumes, several different guidelines have been published to address the need for standardization of postoperative target delineation. The recent GFRU (Groupe Francophone de Radiothérapie Urologique) recommendations could represent an international consensus.
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Affiliation(s)
- U Schick
- Radiation Oncology Department, University Hospital, Brest, France; LaTIM, UMR 1101, INSERM, University Brest, Brest, France.
| | - I Latorzeff
- Department of Oncology Radiotherapy, Bât Atrium, Clinique Pasteur, Toulouse, France
| | - P Sargos
- Department of Radiotherapy, Institut Bergonié, Bordeaux, France
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Sellami S, Leclere JC, Lucia F, Gobel Y, Uguen A, Rousset J, Gouders D, Pradier O, Marianowski R, Abgral R, Schick U. N3 (> 6 cm) squamous cell carcinoma of the head and neck: outcomes and predictive factors in 104 patients. ACTA ACUST UNITED AC 2021; 41:221-229. [PMID: 34264915 PMCID: PMC8283407 DOI: 10.14639/0392-100x-n1437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 02/18/2021] [Indexed: 11/23/2022]
Abstract
Objective To report outcome and predictive factors in patients with N3 (> 6 cm) non-metastatic locally advanced head and neck squamous cell carcinoma (LAHNSCC) treated with a conservative approach or with initial surgery. Methods 104 patients were included: 69 treated with radiotherapy (RT) ± chemotherapy (CT) and 35 with nodal surgery with or without primary tumour resection, which was completed in 30 patients by adjuvant RT ± CT. Positron-emission tomography-computed tomography (PET-CT) guided surveillance after RT ± CT was standard. Results Two-year overall survival (OS) and locoregional control (LRC) were 39.4% and 37.5%, respectively. In univariate analysis, body mass index (BMI), performance status (PS), p16 status and haemoglobin value influenced OS and disease-free survival (DFS). In multivariate analysis, p16 positive status and BMI ≥ 25 remained independent prognostic factors for better OS (p = 0.023) and DFS (p = 0.002). Only under/normal weight remained an independent and adverse significant prognostic factor in multivariate analysis for regional control (RC). Patients treated with primary RT ± CT had slightly better 2-year OS (43.5% versus 33.3%, p = 0.31). Conclusions Patients with N3 LAHNSCC have poor prognosis, but long term LRC is achievable, especially in overweight patients and those with a good PS.
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Affiliation(s)
| | - Jean Christophe Leclere
- Oncology Department, University Hospital, Brest, France.,Head and Neck Surgery Unit, University Hospital, Brest, France
| | - François Lucia
- Oncology Department, University Hospital, Brest, France.,INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
| | - Yves Gobel
- Head and Neck Surgery Unit, University Hospital, Brest, France
| | - Arnaud Uguen
- Pathology Unit, University Hospital, Brest, France
| | - Jean Rousset
- Department of Radiology, University Hospital of Brest and Military Hospital, Brest, France
| | - Dominique Gouders
- Radiation Oncology Department, Hospital de Cornouaille, Quimper, France
| | - Olivier Pradier
- Oncology Department, University Hospital, Brest, France.,INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
| | | | - Ronan Abgral
- Nuclear Medicine, University Hospital, Brest, France
| | - Ulrike Schick
- Oncology Department, University Hospital, Brest, France.,INSERM, UMR 1101, LaTIM, University of Brest, Brest, France
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Lucia F, Bordron A, Bourbonne V, Rio E, Badic B, Miranda O, Pradier O, Hatt M, Visvikis D, Schick U. PO-1246 Prediction of response to neo-adjuvant chemoradiotherapy using radiomics in rectal cancer. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07697-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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