A5021396866- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Climate Change and Health Impacts
- Healthcare cost, quality, practices
- Molecular Biology Techniques and Applications
- Cervical Cancer and HPV Research
- Health and Medical Research Impacts
- Nonmelanoma Skin Cancer Studies
- Health, Environment, Cognitive Aging
- Head and Neck Anomalies
- Infective Endocarditis Diagnosis and Management
- Medical Imaging Techniques and Applications
- Tumors and Oncological Cases
- Head and Neck Cancer Studies
- Biomedical Text Mining and Ontologies
- Lung Cancer Diagnosis and Treatment
- Cancer and Skin Lesions
- Health Systems, Economic Evaluations, Quality of Life
- Radiation Dose and Imaging
- Actinomycetales infections and treatment
- Advances in Oncology and Radiotherapy
Hôpital Saint-Vincent-de-Paul
2024
Groupe Hospitalier de l'Institut Catholique de Lille
2021-2024
Onco Lille
2023
Université Catholique de Lille
2020
Abstract Objectives The health sector contributes to climate disruption through greenhouse gas (GHG) emissions. It accounts for 8% 10% of France’s GHG Although the medical community has been alerted problem, more data are needed. This study aimed determine carbon footprint a surgical pathology laboratory. Methods was conducted in laboratory at Saint Vincent hospital (Lille) 2021. represented 17,242 patient cases corresponding 54,124 paraffin blocks. 17 staff members performed cytology,...
Recently, YAP1 fusion genes have been demonstrated in eccrine poroma and porocarcinoma, the diagnostic use of immunohistochemistry has highlighted this setting. In other organs, loss expression can reflect rearrangement or transcriptional repression, notably through RB1 inactivation. context, our objective was to re-evaluate performance for diagnosis porocarcinoma.The C-terminal part protein evaluated by 543 cutaneous epithelial tumours, including 27 poromas, 14 porocarcinomas 502 tumours....
Because of global warming, integrating an ecological dimension to the practice pathology is crucial, as already performed in other medical specialties. The aim study was estimate greenhouse gas emissions (GHE) one biopsy/surgical specimen hematoxylin-phloxine-saffron (HPS) slide, frozen section examination, and immunohistochemistry (IHC) propose environmentally friendly recommendations. different steps pathological procedures, from sample transport slide/block destruction, were considered...
Abstract Importance Diagnosis of head and neck squamous dysplasias carcinomas is challenging, with a moderate inter-rater agreement. Nowadays, new artificial intelligence (AI) models are developed to automatically detect grade lesions, but their contribution the performance pathologists hasn’t been assessed. Objective To evaluate our AI tool in assisting diagnosing dysplasia carcinoma region. Design, Setting, Participants We evaluated effectiveness previously described model, which combines...
Cervical cancer is the fourth most common in women worldwide. To determine early treatment for patients, it critical to accurately classify cervical intraepithelial lesion status based on a microscopic biopsy. Lesion classification 4-class problem, with biopsies being designated as benign or increasingly malignant class 1-3, 3 invasive cancer. Unfortunately, traditional biopsy analysis by pathologist time-consuming and subject intra- inter-observer variability. For this reason, of interest...
The French Society of Pathology (SFP) organized its first data challenge in 2020 with the help Health Data Hub (HDH). organization this event consisted recruiting nearly 5000 cervical biopsy slides obtained from 20 pathology centers. After ensuring that patients did not refuse to include their project, were anonymized, digitized, and annotated by expert pathologists, finally uploaded a platform for competitors around world. Competing teams had develop algorithms could distinguish 4...
In histology, the presence of collagen in extra-cellular matrix has both diagnostic and prognostic value for cancer malignancy, can be highlighted by adding Saffron (S) to a routine Hematoxylin Eosin (HE) staining. However, is not usually added because additional cost pathologists are accustomed HE, with exception France-based laboratories. this paper, we show that it possible quantify content from HE image alone digitally create an HES image. To do so, trained UNet predict densities images....
The evaluation of the Human Epidermal growth factor Receptor-2 (HER2) expression is an important prognostic biomarker for breast cancer treatment selection. However, HER2 scoring has notoriously high interobserver variability due to stain variations between centers and need estimate visually staining intensity in specific percentages tumor area. In this paper, focusing on interpretability by a pathologist, we propose semi-automatic, two-stage deep learning approach that directly evaluates...
In histology, the presence of collagen in extra-cellular matrix has both diagnostic and prognostic value for cancer malignancy, can be highlighted by adding Saffron (S) to a routine Hematoxylin Eosin (HE) staining. However, is not usually added because additional cost pathologists are accustomed HE, with exception France-based laboratories. this paper, we show that it possible quantify content from HE image alone digitally create an HES image. To do so, trained UNet predict densities images....