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Article ; Online: Benefit of medial retropharyngeal nodal region sparing in nasopharyngeal carcinoma patients: the final answer?

Sun, Roger / Blanchard, Pierre

Asia-Pacific journal of clinical oncology

2023 Volume 19, Issue 6, Page(s) 579–580

MeSH term(s)	Humans ; Nasopharyngeal Carcinoma ; Nasopharyngeal Neoplasms/pathology ; Carcinoma ; Lymph Nodes/pathology ; Magnetic Resonance Imaging ; Retrospective Studies ; Neoplasm Staging
Language	English
Publishing date	2023-05-22
Publishing country	Australia
Document type	Editorial
ZDB-ID	2187409-8
ISSN	1743-7563 ; 1743-7555
ISSN (online)	1743-7563
ISSN	1743-7555
DOI	10.1111/ajco.13955
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Article ; Online: Radiomics to predict response to immunotherapy: an imminent reality?

Limkin, Elaine Johanna / Sun, Roger

Future oncology (London, England)

2020 Volume 16, Issue 23, Page(s) 1673–1676

MeSH term(s)	Diagnostic Imaging/methods ; Humans ; Immunotherapy/methods ; Neoplasms/diagnostic imaging ; Neoplasms/drug therapy ; Neoplasms/pathology ; Prognosis
Language	English
Publishing date	2020-05-23
Publishing country	England
Document type	Editorial
ZDB-ID	2274956-1
ISSN	1744-8301 ; 1479-6694
ISSN (online)	1744-8301
ISSN	1479-6694
DOI	10.2217/fon-2020-0015
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Article ; Online: Intelligence artificielle et imagerie médicale.

Sun, Roger / Deutsch, Eric / Fournier, Laure

Bulletin du cancer

2021 Volume 109, Issue 1, Page(s) 83–88

Abstract: The use of artificial intelligence methods for image recognition is one of the most developed branches of the AI field and these technologies are now commonly used in our daily lives. In the field of medical imaging, approaches based on artificial ... ...

Title translation	Artificial intelligence and medical imaging.
Abstract	The use of artificial intelligence methods for image recognition is one of the most developed branches of the AI field and these technologies are now commonly used in our daily lives. In the field of medical imaging, approaches based on artificial intelligence are particularly promising, with numerous applications and a strong interest in the search for new biomarkers. Here, we will present the general methods used in these approaches as well as the potential areas of application.
MeSH term(s)	Artificial Intelligence ; Diagnostic Imaging/methods ; Humans ; Lung Neoplasms/diagnostic imaging ; Lymphocytes, Tumor-Infiltrating ; Machine Learning ; Organs at Risk/diagnostic imaging
Language	French
Publishing date	2021-11-12
Publishing country	France
Document type	Journal Article ; Review
ZDB-ID	213270-9
ISSN	1769-6917 ; 0007-4551
ISSN (online)	1769-6917
ISSN	0007-4551
DOI	10.1016/j.bulcan.2021.09.009
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Article ; Online: AutoComBat: a generic method for harmonizing MRI-based radiomic features.

Carré, Alexandre / Battistella, Enzo / Niyoteka, Stephane / Sun, Roger / Deutsch, Eric / Robert, Charlotte

Scientific reports

2022 Volume 12, Issue 1, Page(s) 12762

Abstract: The use of multicentric data is becoming essential for developing generalizable radiomic signatures. In particular, Magnetic Resonance Imaging (MRI) data used in brain oncology are often heterogeneous in terms of scanners and acquisitions, which ... ...

Abstract	The use of multicentric data is becoming essential for developing generalizable radiomic signatures. In particular, Magnetic Resonance Imaging (MRI) data used in brain oncology are often heterogeneous in terms of scanners and acquisitions, which significantly impact quantitative radiomic features. Various methods have been proposed to decrease dependency, including methods acting directly on MR images, i.e., based on the application of several preprocessing steps before feature extraction or the ComBat method, which harmonizes radiomic features themselves. The ComBat method used for radiomics may be misleading and presents some limitations, such as the need to know the labels associated with the "batch effect". In addition, a statistically representative sample is required and the applicability of a signature whose batch label is not present in the train set is not possible. This work aimed to compare a priori and a posteriori radiomic harmonization methods and propose a code adaptation to be machine learning compatible. Furthermore, we have developed AutoComBat, which aims to automatically determine the batch labels, using either MRI metadata or quality metrics as inputs of the proposed constrained clustering. A heterogeneous dataset consisting of high and low-grade gliomas coming from eight different centers was considered. The different methods were compared based on their ability to decrease relative standard deviation of radiomic features extracted from white matter and on their performance on a classification task using different machine learning models. ComBat and AutoComBat using image-derived quality metrics as inputs for batch assignment and preprocessing methods presented promising results on white matter harmonization, but with no clear consensus for all MR images. Preprocessing showed the best results on the T1w-gd images for the grading task. For T2w-flair, AutoComBat, using either metadata plus quality metrics or metadata alone as inputs, performs better than the conventional ComBat, highlighting its potential for data harmonization. Our results are MRI weighting, feature class and task dependent and require further investigations on other datasets.
MeSH term(s)	Brain/diagnostic imaging ; Brain/pathology ; Brain Neoplasms/diagnostic imaging ; Glioma/diagnostic imaging ; Glioma/pathology ; Humans ; Machine Learning ; Magnetic Resonance Imaging/methods
Language	English
Publishing date	2022-07-26
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-16609-1
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Article: Artificial Intelligence and Radiomics: Clinical Applications for Patients with Advanced Melanoma Treated with Immunotherapy.

McGale, Jeremy / Hama, Jakob / Yeh, Randy / Vercellino, Laetitia / Sun, Roger / Lopci, Egesta / Ammari, Samy / Dercle, Laurent

Diagnostics (Basel, Switzerland)

2023 Volume 13, Issue 19

Abstract: Immunotherapy has greatly improved the outcomes of patients with metastatic melanoma. However, it has also led to new patterns of response and progression, creating an unmet need for better biomarkers to identify patients likely to achieve a lasting ... ...

Abstract	Immunotherapy has greatly improved the outcomes of patients with metastatic melanoma. However, it has also led to new patterns of response and progression, creating an unmet need for better biomarkers to identify patients likely to achieve a lasting clinical benefit or experience immune-related adverse events. In this study, we performed a focused literature survey covering the application of artificial intelligence (AI; in the form of radiomics, machine learning, and deep learning) to patients diagnosed with melanoma and treated with immunotherapy, reviewing 12 studies relevant to the topic published up to early 2022. The most commonly investigated imaging modality was CT imaging in isolation (
Language	English
Publishing date	2023-09-27
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics13193065
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Article: Integrating Artificial Intelligence and PET Imaging for Drug Discovery: A Paradigm Shift in Immunotherapy.

McGale, Jeremy P / Howell, Harrison J / Beddok, Arnaud / Tordjman, Mickael / Sun, Roger / Chen, Delphine / Wu, Anna M / Assi, Tarek / Ammari, Samy / Dercle, Laurent

Pharmaceuticals (Basel, Switzerland)

2024 Volume 17, Issue 2

Abstract: The integration of artificial intelligence (AI) and positron emission tomography (PET) imaging has the potential to become a powerful tool in drug discovery. This review aims to provide an overview of the current state of research and highlight the ... ...

Abstract	The integration of artificial intelligence (AI) and positron emission tomography (PET) imaging has the potential to become a powerful tool in drug discovery. This review aims to provide an overview of the current state of research and highlight the potential for this alliance to advance pharmaceutical innovation by accelerating the development and deployment of novel therapeutics. We previously performed a scoping review of three databases (Embase, MEDLINE, and CENTRAL), identifying 87 studies published between 2018 and 2022 relevant to medical imaging (e.g., CT, PET, MRI), immunotherapy, artificial intelligence, and radiomics. Herein, we reexamine the previously identified studies, performing a subgroup analysis on articles specifically utilizing AI and PET imaging for drug discovery purposes in immunotherapy-treated oncology patients. Of the 87 original studies identified, 15 met our updated search criteria. In these studies, radiomics features were primarily extracted from PET/CT images in combination (
Language	English
Publishing date	2024-02-06
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2193542-7
ISSN	1424-8247
ISSN	1424-8247
DOI	10.3390/ph17020210
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Article: Image-Guided Brachytherapy for Salvage Reirradiation: A Systematic Review.

Bockel, Sophie / Espenel, Sophie / Sun, Roger / Dumas, Isabelle / Gouy, Sébastien / Morice, Philippe / Chargari, Cyrus

Cancers

2021 Volume 13, Issue 6

Abstract: Background: Local recurrence in gynecological malignancies occurring in a previously irradiated field is a challenging clinical issue. The most frequent curative-intent treatment is salvage surgery. Reirradiation, using three-dimensional image-guided ... ...

Abstract	Background: Local recurrence in gynecological malignancies occurring in a previously irradiated field is a challenging clinical issue. The most frequent curative-intent treatment is salvage surgery. Reirradiation, using three-dimensional image-guided brachytherapy (3D-IGBT), might be a suitable alternative. We reviewed recent literature concerning 3D-IGBT for reirradiation in the context of local recurrences from gynecological malignancies. Methods: We conducted a large-scale literature research, and 15 original studies, responding to our research criteria, were finally selected. Results: Local control rates ranged from 44% to 71.4% at 2-5 years, and overall survival rates ranged from 39.5% to 78% at 2-5 years. Grade ≥3 toxicities ranged from 1.7% to 50%, with only one study reporting a grade 5 event. Results in terms of outcome and toxicities were highly variable depending on studies. Several studies suggested that local control could be improved with 2 Gy equivalent doses >40 Gy. Conclusion: IGBT appears to be a feasible alternative to salvage surgery in inoperable patients or patients refusing surgery, with an acceptable outcome for patients who have no other curative therapeutic options, however at a high cost of long-term grade ≥3 toxicities in some studies. We recommend that patients with local recurrence from gynecologic neoplasm occurring in previously irradiated fields should be referred to highly experienced expert centers. Centralization of data and large-scale multicentric international prospective trials are warranted. Efforts should be made to improve local control while limiting the risk of toxicities.
Language	English
Publishing date	2021-03-11
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2527080-1
ISSN	2072-6694
ISSN	2072-6694
DOI	10.3390/cancers13061226
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Article ; Online: Ellipsoid calculations versus manual tumor delineations for glioblastoma tumor volume evaluation.

Le Fèvre, Clara / Sun, Roger / Cebula, Hélène / Thiery, Alicia / Antoni, Delphine / Schott, Roland / Proust, François / Constans, Jean-Marc / Noël, Georges

Scientific reports

2022 Volume 12, Issue 1, Page(s) 10502

Abstract: In glioblastoma, the response to treatment assessment is essentially based on the 2D tumor size evolution but remains disputable. Volumetric approaches were evaluated for a more accurate estimation of tumor size. This study included 57 patients and ... ...

Abstract	In glioblastoma, the response to treatment assessment is essentially based on the 2D tumor size evolution but remains disputable. Volumetric approaches were evaluated for a more accurate estimation of tumor size. This study included 57 patients and compared two volume measurement methods to determine the size of different glioblastoma regions of interest: the contrast-enhancing area, the necrotic area, the gross target volume and the volume of the edema area. The two methods, the ellipsoid formula (the calculated method) and the manual delineation (the measured method) showed a high correlation to determine glioblastoma volume and a high agreement to classify patients assessment response to treatment according to RANO criteria. This study revealed that calculated and measured methods could be used in clinical practice to estimate glioblastoma volume size and to evaluate tumor size evolution.
MeSH term(s)	Brain Neoplasms/drug therapy ; Brain Neoplasms/therapy ; Glioblastoma/drug therapy ; Glioblastoma/therapy ; Humans ; Magnetic Resonance Imaging/methods ; Tumor Burden
Language	English
Publishing date	2022-06-22
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-13739-4
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Article ; Online: Locoregional Treatment in Patients With Metastatic Cervical Cancer: Benefit of Dose Escalation Strategies.

Laville, Adrien / Ka, Kanta / El-Ayachi, Radouane / Achkar, Samir / Bockel, Sophie / Gouy, Sébastien / Espenel, Sophie / Morice, Philippe / Sun, Roger / Pautier, Patricia / Chargari, Cyrus

International journal of radiation oncology, biology, physics

2023 Volume 118, Issue 1, Page(s) 192–202

Abstract: Purpose: The objective of this work was to examine the benefit of an intensive locoregional treatment including an image guided adaptive brachytherapy (IGABT) among patients with cervical cancer and extrapelvic extension.: Methods and materials: ... ...

Abstract	Purpose: The objective of this work was to examine the benefit of an intensive locoregional treatment including an image guided adaptive brachytherapy (IGABT) among patients with cervical cancer and extrapelvic extension. Methods and materials: Medical records of consecutive patients with a metastatic cervical cancer and receiving external beam radiation therapy and IGABT boost in Gustave Roussy Institute as part of their first line of treatment were examined. Depending on tumor sites, patients received pelvic ± para-aortic external beam radiation therapy. For those with visceral or supradiaphragmatic lymph node metastases, chemoradiation was delivered after usually 3 cycles of chemotherapy. All patients received a brachytherapy boost, guided by magnetic resonance imaging and aimed at increasing the dose to the high-risk clinical target volume (CTV Results: One hundred sixty-four patients were included; 76.2% had para-aortic lymph node extension without distant metastasis (N2) and 23.8% had distant metastatic sites (M1). There was not a statistically significant difference in survival between both groups. With a median follow-up of 36 months, OS, progression-free survival, and LC at 3 years were 55.5% (95% CI, 48%-64%), 40.6% (95% CI, 38%-54%), and 90% (95% CI, 85%-96%), respectively. In multivariate analysis, a D90CTV Conclusions: IGABT permits dose escalation and high LC rates for patients with cervical cancer and extrapelvic extension. Dose/effect relationships for survival were shown. Because of high frequency of distant events, systemic intensification should be tested more specifically among these patients.
MeSH term(s)	Female ; Humans ; Treatment Outcome ; Uterine Cervical Neoplasms/radiotherapy ; Neoplasm Staging ; Neoplasm Recurrence, Local/pathology ; Brachytherapy/adverse effects ; Brachytherapy/methods
Language	English
Publishing date	2023-08-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	197614-x
ISSN	1879-355X ; 0360-3016
ISSN (online)	1879-355X
ISSN	0360-3016
DOI	10.1016/j.ijrobp.2023.07.046
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Article ; Online: An international phase II trial and immune profiling of SBRT and atezolizumab in advanced pretreated colorectal cancer.

Levy, Antonin / Morel, Daphné / Texier, Matthieu / Sun, Roger / Durand-Labrunie, Jerome / Rodriguez-Ruiz, Maria E / Racadot, Severine / Supiot, Stéphane / Magné, Nicolas / Cyrille, Stacy / Louvel, Guillaume / Massard, Christophe / Verlingue, Loic / Bouquet, Fanny / Bustillos, Alberto / Bouarroudj, Lisa / Quevrin, Clément / Clémenson, Céline / Mondini, Michele /

Meziani, Lydia / Tselikas, Lambros / Bahleda, Rastilav / Hollebecque, Antoine / Deutsch, Eric

Molecular cancer

2024 Volume 23, Issue 1, Page(s) 61

Abstract: Background: Immuno-radiotherapy may improve outcomes for patients with advanced solid tumors, although optimized combination modalities remain unclear. Here, we report the colorectal (CRC) cohort analysis from the SABR-PDL1 trial that evaluated the PD- ... ...

Abstract	Background: Immuno-radiotherapy may improve outcomes for patients with advanced solid tumors, although optimized combination modalities remain unclear. Here, we report the colorectal (CRC) cohort analysis from the SABR-PDL1 trial that evaluated the PD-L1 inhibitor atezolizumab in combination with stereotactic body radiation therapy (SBRT) in advanced cancer patients. Methods: Eligible patients received atezolizumab 1200 mg every 3 weeks until progression or unmanageable toxicity, together with ablative SBRT delivered concurrently with the 2nd cycle (recommended dose of 45 Gy in 3 fractions, adapted upon normal tissue tolerance constraint). SBRT was delivered to at least one tumor site, with at least one additional measurable lesion being kept from the radiation field. The primary efficacy endpoint was one-year progression-free survival (PFS) rate from the start of atezolizumab. Sequential tumor biopsies were collected for deep multi-feature immune profiling. Results: Sixty pretreated (median of 2 prior lines) advanced CRC patients (38 men [63%]; median age, 59 years [range, 20-81 years]; 77% with liver metastases) were enrolled in five centers (France: n = 4, Spain: n = 1) from 11/2016 to 04/2019. All but one (98%) received atezolizumab and 54/60 (90%) received SBRT. The most frequently irradiated site was lung (n = 30/54; 56.3%). Treatment-related G3 (no G4-5) toxicity was observed in 3 (5%) patients. Median OS and PFS were respectively 8.4 [95%CI:5.9-11.6] and 1.4 months [95%CI:1.2-2.6], including five (9%) patients with PFS > 1 year (median time to progression: 19.2 months, including 2/5 MMR-proficient). Best overall responses consisted of stable disease (n = 38; 64%), partial (n = 3; 5%) and complete response (n = 1; 2%). Immune-centric multiplex IHC and RNAseq showed that SBRT redirected immune cells towards tumor lesions, even in the case of radio-induced lymphopenia. Baseline tumor PD-L1 and IRF1 nuclear expression (both in CD3 + T cells and in CD68 + cells) were higher in responding patients. Upregulation of genes that encode for proteins known to increase T and B cell trafficking to tumors (CCL19, CXCL9), migration (MACF1) and tumor cell killing (GZMB) correlated with responses. Conclusions: This study provides new data on the feasibility, efficacy, and immune context of tumors that may help identifying advanced CRC patients most likely to respond to immuno-radiotherapy. Trial registration: EudraCT N°: 2015-005464-42; Clinicaltrial.gov number: NCT02992912.
MeSH term(s)	Humans ; Male ; Middle Aged ; Antibodies, Monoclonal, Humanized/adverse effects ; Colorectal Neoplasms/radiotherapy ; Lung Neoplasms/drug therapy ; Radiosurgery/adverse effects ; Young Adult ; Adult ; Aged ; Aged, 80 and over ; Female
Chemical Substances	Antibodies, Monoclonal, Humanized ; atezolizumab (52CMI0WC3Y)
Language	English
Publishing date	2024-03-23
Publishing country	England
Document type	Clinical Trial, Phase II ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2091373-4
ISSN	1476-4598 ; 1476-4598
ISSN (online)	1476-4598
ISSN	1476-4598
DOI	10.1186/s12943-024-01970-8
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