2011-2021 rising prevalence of HPV infection among oropharyngeal carcinoma in France.

BACKGROUND: The objective of our study was to investigate changes over the past decade in patient age and the prevalence of HPV in the population of patients with oropharyngeal carcinoma (OPC) treated at our center. METHODS: We performed a retrospective cohort study of patients treated at our cancer center for OPC between 2011 and 2021. Tissue biopsies were assessed for HPV status based on p16 staining for all patients. RESULTS: There were 1,365 treated patients. The proportion of p16-positive patients increased from 43% in 2011 to 57.3% in 2021 (p = 0.01). The sex ratio was 3.6 M/1F for p16-positive and 3.7 M/1F for p16-negative patients (p = 0.94). The mean age increased from 60.2 y in 2011 to 63.6 y in 2021. The mean ages were 61.9 y for p16-positive and 61.7 y for p16-negative patients (p = 0.71), but there was a broader age distribution for the p16-positive patients (p = 0.03). The proportion of patients older than 70 y increased from 11% in 2011 to 28.2% in 2021, and this aging was similar between p16-positive (30.7% in 2021) and p16-negative (26.3% in 2021) patients. The 2-year and 5-year OS rates were 73.7% and 56.5% for the entire cohort. p16-positive patients had 2-year and 5-year OS rates of 86.8% and 77.4%, respectively, whereas p16-negative patients had 2-year and 5-year OS rates of 63.9% and 40.5%. CONCLUSIONS: Assessment of the change over the past decade in the population of patients with OPC at our center showed that HPV-positive OPC now appear to have overtaken HPV-negative cases in France, with 57.3% in 2021, and showed significant aging, with almost thirty percent of patients now older than 70 years. Those combined changes emphasize some of the challenges to be addressed in future OPC management.

Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study.

The parotid glands are the largest of the major salivary glands. They can harbour both benign and malignant tumours. Preoperative work-up relies on MR images and fine needle aspiration biopsy, but these diagnostic tools have low sensitivity and specificity, often leading to surgery for diagnostic purposes. The aim of this paper is (1) to develop a machine learning algorithm based on MR images characteristics to automatically classify parotid gland tumours and (2) compare its results with the diagnoses of junior and senior radiologists in order to evaluate its utility in routine practice. While automatic algorithms applied to parotid tumours classification have been developed in the past, we believe that our study is one of the first to leverage four different MRI sequences and propose a comparison with clinicians. In this study, we leverage data coming from a cohort of 134 patients treated for benign or malignant parotid tumours. Using radiomics extracted from the MR images of the gland, we train a random forest and a logistic regression to predict the corresponding histopathological subtypes. On the test set, the best results are given by the random forest: we obtain a 0.720 accuracy, a 0.860 specificity, and a 0.720 sensitivity over all histopathological subtypes, with an average AUC of 0.838. When considering the discrimination between benign and malignant tumours, the algorithm results in a 0.760 accuracy and a 0.769 AUC, both on test set. Moreover, the clinical experiment shows that our model helps to improve diagnostic abilities of junior radiologists as their sensitivity and accuracy raised by 6 % when using our proposed method. This algorithm may be useful for training of physicians. Radiomics with a machine learning algorithm may help improve discrimination between benign and malignant parotid tumours, decreasing the need for diagnostic surgery. Further studies are warranted to validate our algorithm for routine use.

Target volume delineation for radiotherapy of meningiomas: an ANOCEF consensus guideline.

PURPOSE: Radiotherapy is, with surgery, one of the main therapeutic treatment strategies for meningiomas. No prospective study has defined a consensus for the delineation of target volumes for meningioma radiotherapy. Therefore, target volume definition is mainly based on information from retrospective studies that include heterogeneous patient populations. The aim is to describe delineation guidelines for meningioma radiotherapy as an adjuvant or definitive treatment with intensity-modulated radiation therapy and stereotactic radiation therapy techniques. This guideline is based on a consensus endorsed by a multidisciplinary group of brain tumor experts, members of the Association of French-speaking Neuro-oncologists (ANOCEF). MATERIALS AND METHODS: A 3-step procedure was used. First, the steering group carried out a comprehensive review to identify divergent issues on meningiomas target volume delineation. Second, an 84-item web-questionnaire has been developed to precisely define meningioma target volume delineation in the most common clinical situations. Third, experts members of the ANOCEF were requested to answer. The first two rounds were completed online. A third round was carried out by videoconference to allow experts to debate and discuss the remaining uncertain questions. All questions remained in a consensus. RESULTS: Limits of the target volume were defined using visible landmarks on computed tomography and magnetic resonance imaging, considering the pathways of tumor extension. The purpose was to develop clear and precise recommendations on meningiomas target volumes. CONCLUSION: New recommendations for meningiomas delineation based on simple anatomic boundaries are proposed by the ANOCEF. Improvement in uniformity in target volume definition is expected.

From Dose Reduction to Contrast Maximization: Can Deep Learning Amplify the Impact of Contrast Media on Brain Magnetic Resonance Image Quality? A Reader Study.

OBJECTIVES: The aim of this study was to evaluate a deep learning method designed to increase the contrast-to-noise ratio in contrast-enhanced gradient echo T1-weighted brain magnetic resonance imaging (MRI) acquisitions. The processed images are quantitatively evaluated in terms of lesion detection performance. MATERIALS AND METHODS: A total of 250 multiparametric brain MRIs, acquired between November 2019 and March 2021 at Gustave Roussy Cancer Campus (Villejuif, France), were considered for inclusion in this retrospective monocentric study. Independent training (107 cases; age, 55 ± 14 years; 58 women) and test (79 cases; age, 59 ± 14 years; 41 women) samples were defined. Patients had glioma, brain metastasis, meningioma, or no enhancing lesion. Gradient echo and turbo spin echo with variable flip angles postcontrast T1 sequences were acquired in all cases. For the cases that formed the training sample, "low-dose" postcontrast gradient echo T1 images using 0.025 mmol/kg injections of contrast agent were also acquired. A deep neural network was trained to synthetically enhance the low-dose T1 acquisitions, taking standard-dose T1 MRI as reference. Once trained, the contrast enhancement network was used to process the test gradient echo T1 images. A read was then performed by 2 experienced neuroradiologists to evaluate the original and processed T1 MRI sequences in terms of contrast enhancement and lesion detection performance, taking the turbo spin echo sequences as reference. RESULTS: The processed images were superior to the original gradient echo and reference turbo spin echo T1 sequences in terms of contrast-to-noise ratio (44.5 vs 9.1 and 16.8; P < 0.001), lesion-to-brain ratio (1.66 vs 1.31 and 1.44; P < 0.001), and contrast enhancement percentage (112.4% vs 85.6% and 92.2%; P < 0.001) for cases with enhancing lesions. The overall image quality of processed T1 was preferred by both readers (graded 3.4/4 on average vs 2.7/4; P < 0.001). Finally, the proposed processing improved the average sensitivity of gradient echo T1 MRI from 88% to 96% for lesions larger than 10 mm ( P = 0.008), whereas no difference was found in terms of the false detection rate (0.02 per case in both cases; P > 0.99). The same effect was observed when considering all lesions larger than 5 mm: sensitivity increased from 70% to 85% ( P < 0.001), whereas false detection rates remained similar (0.04 vs 0.06 per case; P = 0.48). With all lesions included regardless of their size, sensitivities were 59% and 75% for original and processed T1 images, respectively ( P < 0.001), and the corresponding false detection rates were 0.05 and 0.14 per case, respectively ( P = 0.06). CONCLUSION: The proposed deep learning method successfully amplified the beneficial effects of contrast agent injection on gradient echo T1 image quality, contrast level, and lesion detection performance. In particular, the sensitivity of the MRI sequence was improved by up to 16%, whereas the false detection rate remained similar.

[Intercontinental Multidisciplinary Oncology Videoconferencing between the South Pacific and the French mainland: Results after one year and 323 cases of rare or complex cancers discussed]. / RCP Pacifique : bilan après un an et 323 cancers rares et/ou complexes discutés.

INTRODUCTION: Overseas France represents 18 % of French territory and is home to 4 % of its population for whom there is unequal treatment in the field of rare/complex cancer. AIM: To report our experience of intercontinental multidisciplinary videoconferencing between the French mainland and Pacific territories. METHODS: Every other friday, three centers located in Papeete, Nouméa and Paris-Villejuif connected between 6:30 AM and 8:00 AM GMT to discuss cases of rare/complex cancers. RESULTS: Between November 2019 and December 2020, 323 presentations implicating 233 patients involved sarcoma (n=93), digestive pathology (n=60), neuroendocrine tumors (n=35), urology (n=24), gynecology (n=24), neurology (n=16), thyroid pathology (n=14), dermatology (n=14), senology (n=11), hematology (n=11), ENT pathology (n=10), pathology thoracic (n=10) and pediatrics (n=1). Of the 233 patients, 134 (57.5 %) living in New Caledonia and 99 (42.5 %) in French Polynesia, 117 (50.5 %) had metastatic disease. 39 patients (16.7 %) were transferred to French mainland (EVASAN), for surgery (n=25), vectorized radiotherapy (n=7), biopsy (n=5), chemotherapy (n=1) or inclusion in a clinical trial (n=1). 195 patients (83.7 %) were treated at home, 15 (6.4 %) are still awaiting a decision and 4 (1.7 %) lost to follow-up. CONCLUSION: The use of videoconferencing to discuss rare/complex cancer cases was effective in guaranteeing French overseas population access to innovative therapies and clinical trials, limiting the need for intercontinental transfer to 16.7 %.

Imaging of Skull Base and Orbital Invasion in Sinonasal Cancer: Correlation with Histopathology.

BACKGROUND: Pretreatment assessment of local extension in sinonasal cancer is essential for prognostic evaluation and surgical planning. The aim of this study was to assess the diagnostic performance of two common imaging techniques (CT and MRI) for the diagnosis of skull base and orbital invasion by comparing imaging findings to histopathological data. METHODS: This was a retrospective two-center study including patients with sinonasal cancer involving the skull base and/or the orbit operated on between 2000 and 2019. Patients were included only if pre-operative CT and/or MRI, operative and histopathologic reports were available. A double prospective blinded imaging review was conducted according to predefined radiological parameters. Radiologic tumor extension was compared to histopathological reports, which were considered the gold standard. The predictive positive value (PPV) for the diagnosis of skull base/orbital invasion was calculated for each parameter. RESULTS: A total of 176 patients were included. Ethmoidal intestinal-type adenocarcinoma was the most common type of cancer (41%). The PPV for major modification of the bony skull base was 78% on the CT scan, and 89% on MRI. MRI signs of dural invasion with the highest PPVs were: contact angle over 45° between tumor and dura (86%), irregular deformation of dura adjacent to tumor (87%) and nodular dural enhancement over 2 mm in thickness (87%). Signs of orbital invasion had low PPVs (<50%). CONCLUSIONS: This retrospective study provides objective data about the diagnostic value of pretreatment imaging in patients with sinonasal cancer.

A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI.

Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. The objective of this study was to develop machine learning (ML) algorithms for survival prediction of GBM patient. We identified a radiomic signature on a training-set composed of data from the 2019 BraTS challenge (210 patients) from MRI retrieved at diagnosis. Then, using this signature along with the age of the patients for training classification models, we obtained on test-sets AUCs of 0.85, 0.74 and 0.58 (0.92, 0.88 and 0.75 on the training-sets) for survival at 9-, 12- and 15-months, respectively. This signature was then validated on an independent cohort of 116 GBM patients with confirmed disease relapse for the prediction of patients surviving less or more than the median OS of 22 months. Our model insured an AUC of 0.71 (0.65 on train). The Kaplan-Meier method showed significant OS difference between groups (log-rank p = 0.05). These results suggest that radiomic signatures may improve survival outcome predictions in GBM thus creating a solid clinical tool for tailoring therapy in this population.

Intercontinental Multidisciplinary Oncology Videoconferencing for Rare and Complex Cancer: An Alternative to Systematic Transfer.

PURPOSE: To report our experience of intercontinental multidisciplinary oncology videoconferencing between the French mainland and South Pacific to discuss rare and/or complex cancer cases. METHODS: On the first and third Friday of each month, all participants connected between 6:30 am and 8:00 am GMT to discuss using a web conference service. RESULTS: Between November 2019 and April 2020, 99 cases concerning 78 patients were discussed. Oncology subspecialties required were sarcoma (n = 36), digestive (n = 29), dermatology (n = 5), gynecology (n = 5), breast (n = 5), urology (n = 5), hematology (n = 5), ENT (n = 3), thoracic (n = 3), thyroid (n = 2), and pediatric (n = 1). Median patient age was 58 years, 41 were female (53%), 37 were male (47%), and 43 had a metastatic disease (55%). Following discussion, 16 patients (21%) were transferred to the French mainland. Reasons for transfer were requirement for complex surgery (n = 11) and need for specialized diagnostic biopsy (n = 5). Fifty-six patients were treated locally, with systemic chemotherapy (n = 36), surveillance (n = 8), surgery (n = 8), radiotherapy (n = 3), or endoscopy (n = 1). Direct benefits for patients treated in their local facility included strategy changes (surveillance or surgery contraindication, n = 9), targeted therapy decision (n = 14), immunotherapy decision (n = 9), and diagnostic or metastatic status corrections (n = 4). Six patients are still awaiting decision. CONCLUSION: Using real-time intercontinental multidisciplinary oncology videoconferencing to discuss complex or rare cancer cases is reliable and effective for decision making. This concept helped to limit to 21% the need for transfers to the mainland.

Anemia and neutrophil-to-lymphocyte ratio in laryngeal cancer treated with induction chemotherapy.

OBJECTIVES/HYPOTHESIS: We studied the influence of the neutrophil-to-lymphocyte ratio (NLR) and anemia on the response to induction chemotherapy (IC) and survival outcomes in laryngeal cancer patients treated with a preservation protocol. STUDY DESIGN: Retrospective single-center case series. METHODS: We analyzed patients with T3 laryngeal cancer treated with IC using a preservation protocol. The NLR and hemoglobin levels were assessed before treatment and after IC. The response to chemotherapy was assessed using Response Evaluation Criteria in Solid Tumours 1.1 and World Heath Organization standards. The oncological endpoints were overall survival (OS) and disease-free survival (DFS). RESULTS: Sixty-eight patients were analyzed. The median NLR and hemoglobin levels before and after IC were 2.76 and 14.5 g/dL, and 2.01 and 11.6 g/dL, respectively. The NLR and anemia before treatment were not correlated, and they were not associated with the response to chemotherapy. However, an NLR > 5 and anemia before treatment were both associated with shorter OS and DFS. Notably, they were the only factors found to be significantly associated with survival outcomes. CONCLUSIONS: In laryngeal cancer, patients treated with a preservation protocol, a high NLR ratio, and anemia before IC were associated with shorter survival, independently of the response to chemotherapy. LEVEL OF EVIDENCE: 4 Laryngoscope, 130:E144-E150, 2020.

Computed tomography evaluation after induction chemotherapy for T3 laryngeal cancer: Does response correlate with vocal cord mobility?

OBJECTIVES: After induction chemotherapy (IC) for laryngeal cancer, Computed Tomography (CT) is used to assess tumor response but lacks rationalized methods for measurement of this response. In T3 laryngeal cancer, remobilization of an initially fixed vocal cord (VC) is a major sign of tumor response. We compared the performances of RECIST1.1, WHO and volumetric methods of evaluating response with laryngeal remobilization to determine if these measurements could objectively assess tumor response. MATERIAL AND METHODS: This monocentric retrospective cohort study included patients treated with T3 laryngeal cancer with initial VC fixation treated with an organ preservation protocol with IC between 1999 and 2012. Tumors were measured with CT using RECIST1.1, WHO and volumetric methods by two radiologists blinded to VC remobilization (VCR), before and after induction chemotherapy and VC mobility was clinically assessed. Radiologic tumor shrinkage was compared to VCR. AUCs of ROC curves were compared. Inter-reader reliability, sensitivity and specificity of optimal cutoffs were determined. RESULTS: Seven females and thirty-six males with a mean age of 59 years were included. AUCs were 0.759, [95%CI 0.614; 0.904] for RECIST1.1, 0.763, [95%CI 0.617; 0.909] for WHO and 0.752, [95%CI 0.608; 0.896] for volumetric evaluations with no significant difference among the three techniques. Inter-reader reader reliabilities were good (RECIST1.1) to excellent (WHO and volumetric methods). CONCLUSION: RECIST1.1, WHO and volumetric measures match with VCR after IC in patient with T3 laryngeal cancer. WHO criteria combine accuracy, reproducibility and practical use; they may be best adapted for response assessment and protocol design.