Titre : Nodules pulmonaires multiples

Nodules pulmonaires multiples : Questions médicales fréquentes

Termes MeSH sélectionnés :

Deep Learning
{ "@context": "https://schema.org", "@graph": [ { "@type": "MedicalWebPage", "name": "Nodules pulmonaires multiples : Questions médicales les plus fréquentes", "headline": "Nodules pulmonaires multiples : Comprendre les symptômes, diagnostics et traitements", "description": "Guide complet et accessible sur les Nodules pulmonaires multiples : explications, diagnostics, traitements et prévention. Information médicale validée destinée aux patients.", "datePublished": "2024-06-20", "dateModified": "2025-03-17", "inLanguage": "fr", "medicalAudience": [ { "@type": "MedicalAudience", "name": "Grand public", "audienceType": "Patient", "healthCondition": { "@type": "MedicalCondition", "name": "Nodules pulmonaires multiples" }, "suggestedMinAge": 18, "suggestedGender": "unisex" }, { "@type": "MedicalAudience", "name": "Médecins", "audienceType": "Physician", "geographicArea": { "@type": "AdministrativeArea", "name": "France" } }, { "@type": "MedicalAudience", "name": "Chercheurs", "audienceType": "Researcher", "geographicArea": { "@type": "AdministrativeArea", "name": "International" } } ], "reviewedBy": { "@type": "Person", "name": "Dr Olivier Menir", "jobTitle": "Expert en Médecine", "description": "Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale", "url": "/static/pages/docteur-olivier-menir.html", "alumniOf": { "@type": "EducationalOrganization", "name": "Université Paris Descartes" } }, "isPartOf": { "@type": "MedicalWebPage", "name": "Tumeurs du poumon", "url": "https://questionsmedicales.fr/mesh/D008175", "about": { "@type": "MedicalCondition", "name": "Tumeurs du poumon", "code": { "@type": "MedicalCode", "code": "D008175", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "C08.785.520" } } }, "about": { "@type": "MedicalCondition", "name": "Nodules pulmonaires multiples", "alternateName": "Multiple Pulmonary Nodules", "code": { "@type": "MedicalCode", "code": "D055613", "codingSystem": "MeSH" } }, "author": [ { "@type": "Person", "name": "Y L Gao", "url": "https://questionsmedicales.fr/author/Y%20L%20Gao", "affiliation": { "@type": "Organization", "name": "Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China." } }, { "@type": "Person", "name": "R E Feng", "url": "https://questionsmedicales.fr/author/R%20E%20Feng", "affiliation": { "@type": "Organization", "name": "Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China." } }, { "@type": "Person", "name": "Kazuhiko Morikawa", "url": "https://questionsmedicales.fr/author/Kazuhiko%20Morikawa", "affiliation": { "@type": "Organization", "name": "Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan." } }, { "@type": "Person", "name": "Shigeki Misumi", "url": "https://questionsmedicales.fr/author/Shigeki%20Misumi", "affiliation": { "@type": "Organization", "name": "Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan." } }, { "@type": "Person", "name": "Taiki Fukuda", "url": "https://questionsmedicales.fr/author/Taiki%20Fukuda", "affiliation": { "@type": "Organization", "name": "Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "Deep Learning Powered Identification of Differentiated Early Mesoderm Cells from Pluripotent Stem Cells.", "datePublished": "2024-03-18", "url": "https://questionsmedicales.fr/article/38534378", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3390/cells13060534" } }, { "@type": "ScholarlyArticle", "name": "Deep learning for automatic prediction of early activation of treatment naïve non-exudative MNVs in AMD.", "datePublished": "2024-03-14", "url": "https://questionsmedicales.fr/article/38489765", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1097/IAE.0000000000004106" } }, { "@type": "ScholarlyArticle", "name": "Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors.", "datePublished": "2024-03-13", "url": "https://questionsmedicales.fr/article/38475857", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1186/s13287-024-03682-8" } }, { "@type": "ScholarlyArticle", "name": "Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology.", "datePublished": "2024-03-11", "url": "https://questionsmedicales.fr/article/38467600", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1038/s41467-024-46174-2" } }, { "@type": "ScholarlyArticle", "name": "Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer.", "datePublished": "2024-03-08", "url": "https://questionsmedicales.fr/article/38459096", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1038/s41598-024-56323-8" } } ], "breadcrumb": { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "questionsmedicales.fr", "item": "https://questionsmedicales.fr" }, { "@type": "ListItem", "position": 2, "name": "Maladies de l'appareil respiratoire", "item": "https://questionsmedicales.fr/mesh/D012140" }, { "@type": "ListItem", "position": 3, "name": "Tumeurs de l'appareil respiratoire", "item": "https://questionsmedicales.fr/mesh/D012142" }, { "@type": "ListItem", "position": 4, "name": "Tumeurs du poumon", "item": "https://questionsmedicales.fr/mesh/D008175" }, { "@type": "ListItem", "position": 5, "name": "Nodules pulmonaires multiples", "item": "https://questionsmedicales.fr/mesh/D055613" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Nodules pulmonaires multiples - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Nodules pulmonaires multiples", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2025-05-18", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Nodules pulmonaires multiples", "description": "Comment sont détectés les nodules pulmonaires multiples ?\nQuels examens complémentaires sont nécessaires ?\nQuels critères évaluent la malignité des nodules ?\nLes antécédents médicaux influencent-ils le diagnostic ?\nQuelle est l'importance du suivi des nodules ?", "url": "https://questionsmedicales.fr/mesh/D055613?mesh_terms=Deep+Learning&page=1000#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Nodules pulmonaires multiples", "description": "Quels sont les symptômes des nodules pulmonaires multiples ?\nLes nodules peuvent-ils causer des infections ?\nLes symptômes varient-ils selon l'étiologie ?\nPeut-on avoir des symptômes sans nodules visibles ?\nLes symptômes sont-ils toujours graves ?", "url": "https://questionsmedicales.fr/mesh/D055613?mesh_terms=Deep+Learning&page=1000#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Nodules pulmonaires multiples", "description": "Comment prévenir les nodules pulmonaires ?\nLes dépistages réguliers sont-ils recommandés ?\nL'alimentation influence-t-elle le risque ?\nLe contrôle des maladies respiratoires aide-t-il ?\nLes vaccinations sont-elles utiles ?", "url": "https://questionsmedicales.fr/mesh/D055613?mesh_terms=Deep+Learning&page=1000#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Nodules pulmonaires multiples", "description": "Quel traitement pour les nodules bénins ?\nComment traite-t-on les nodules malins ?\nLes traitements varient-ils selon la taille des nodules ?\nY a-t-il des traitements expérimentaux ?\nLe suivi post-traitement est-il important ?", "url": "https://questionsmedicales.fr/mesh/D055613?mesh_terms=Deep+Learning&page=1000#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Nodules pulmonaires multiples", "description": "Quelles complications peuvent survenir ?\nLes nodules peuvent-ils causer des problèmes respiratoires ?\nY a-t-il un risque de métastases ?\nLes complications sont-elles fréquentes ?\nComment gérer les complications ?", "url": "https://questionsmedicales.fr/mesh/D055613?mesh_terms=Deep+Learning&page=1000#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Nodules pulmonaires multiples", "description": "Quels sont les principaux facteurs de risque ?\nL'âge influence-t-il le risque ?\nLes antécédents de cancer augmentent-ils le risque ?\nL'exposition professionnelle joue-t-elle un rôle ?\nLe mode de vie influence-t-il le risque ?", "url": "https://questionsmedicales.fr/mesh/D055613?mesh_terms=Deep+Learning&page=1000#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment sont détectés les nodules pulmonaires multiples ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Ils sont souvent détectés par radiographie ou tomodensitométrie (TDM)." } }, { "@type": "Question", "name": "Quels examens complémentaires sont nécessaires ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Une biopsie ou une imagerie par résonance magnétique (IRM) peut être nécessaire." } }, { "@type": "Question", "name": "Quels critères évaluent la malignité des nodules ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "La taille, la forme, la calcification et l'évolution des nodules sont évaluées." } }, { "@type": "Question", "name": "Les antécédents médicaux influencent-ils le diagnostic ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des antécédents de cancer ou de tabagisme augmentent le risque de malignité." } }, { "@type": "Question", "name": "Quelle est l'importance du suivi des nodules ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Le suivi permet de surveiller l'évolution des nodules et d'identifier des changements." } }, { "@type": "Question", "name": "Quels sont les symptômes des nodules pulmonaires multiples ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Souvent asymptomatiques, ils peuvent causer toux, douleur thoracique ou dyspnée." } }, { "@type": "Question", "name": "Les nodules peuvent-ils causer des infections ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des infections pulmonaires peuvent survenir en raison de l'inflammation." } }, { "@type": "Question", "name": "Les symptômes varient-ils selon l'étiologie ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les symptômes peuvent différer selon qu'ils sont bénins ou malins." } }, { "@type": "Question", "name": "Peut-on avoir des symptômes sans nodules visibles ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des symptômes peuvent exister sans nodules détectables par imagerie." } }, { "@type": "Question", "name": "Les symptômes sont-ils toujours graves ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Non, beaucoup de cas sont bénins et asymptomatiques, nécessitant juste un suivi." } }, { "@type": "Question", "name": "Comment prévenir les nodules pulmonaires ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Éviter le tabagisme et les expositions environnementales nocives aide à prévenir." } }, { "@type": "Question", "name": "Les dépistages réguliers sont-ils recommandés ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des dépistages réguliers sont conseillés pour les personnes à risque élevé." } }, { "@type": "Question", "name": "L'alimentation influence-t-elle le risque ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Une alimentation riche en antioxydants peut réduire le risque de cancer pulmonaire." } }, { "@type": "Question", "name": "Le contrôle des maladies respiratoires aide-t-il ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, contrôler des maladies comme l'asthme peut réduire le risque de complications." } }, { "@type": "Question", "name": "Les vaccinations sont-elles utiles ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les vaccinations contre la grippe et le pneumocoque peuvent prévenir des infections." } }, { "@type": "Question", "name": "Quel traitement pour les nodules bénins ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les nodules bénins nécessitent souvent aucun traitement, juste une surveillance." } }, { "@type": "Question", "name": "Comment traite-t-on les nodules malins ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Les nodules malins peuvent nécessiter chirurgie, chimiothérapie ou radiothérapie." } }, { "@type": "Question", "name": "Les traitements varient-ils selon la taille des nodules ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la taille et la croissance des nodules influencent le choix du traitement." } }, { "@type": "Question", "name": "Y a-t-il des traitements expérimentaux ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Des traitements expérimentaux comme l'immunothérapie sont en cours d'évaluation." } }, { "@type": "Question", "name": "Le suivi post-traitement est-il important ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le suivi est crucial pour détecter toute récidive ou complication." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent l'infection, l'hémorragie ou la progression vers le cancer." } }, { "@type": "Question", "name": "Les nodules peuvent-ils causer des problèmes respiratoires ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des nodules volumineux peuvent entraîner des difficultés respiratoires." } }, { "@type": "Question", "name": "Y a-t-il un risque de métastases ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des nodules malins peuvent se propager à d'autres organes par métastases." } }, { "@type": "Question", "name": "Les complications sont-elles fréquentes ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Les complications sont rares, surtout si les nodules sont surveillés correctement." } }, { "@type": "Question", "name": "Comment gérer les complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "La gestion dépend de la nature de la complication et peut nécessiter un traitement spécifique." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Le tabagisme, l'exposition à des agents cancérigènes et des antécédents familiaux." } }, { "@type": "Question", "name": "L'âge influence-t-il le risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le risque de nodules pulmonaires augmente avec l'âge." } }, { "@type": "Question", "name": "Les antécédents de cancer augmentent-ils le risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, avoir des antécédents de cancer augmente le risque de développer des nodules." } }, { "@type": "Question", "name": "L'exposition professionnelle joue-t-elle un rôle ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des expositions à l'amiante ou à d'autres substances toxiques augmentent le risque." } }, { "@type": "Question", "name": "Le mode de vie influence-t-il le risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, un mode de vie sédentaire et une mauvaise alimentation peuvent augmenter le risque." } } ] } ] }

Sources (10000 au total)

Deep learning for automatic prediction of early activation of treatment naïve non-exudative MNVs in AMD.

Around 30% of non-exudative macular neovascularizations(NE-MNVs) exudate within 2 years from diagnosis in patients with age-related macular degeneration(AMD).The aim of the study is to develop a deep ... AMD patients showing OCTA and fluorescein angiography (FA) documented NE-MNV with a 2-years minimum imaging follow-up were retrospectively selected. Patients showing OCT B-scan-documented MNV exudatio... Eighty-nine (89) eyes of 89 patients with a follow-up of 5.7 ± 1.5 years were recruited(35 EX GROUP and 54 QU GROUP). Inception-ResNet-v2 was the best performing among the 3 single convolutional neura... Artificial intelligence shows high performances in identifications of NE-MNVs at risk for exudation within the first 2 years of follow up, allowing better customization of follow up timing and avoidin...

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors.

Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the a... In this study, we explored the feasibility of employing deep learning techniques to differentiate murine HSCs and MPPs based solely on their morphology, as observed through light microscopy (DIC) imag... After rigorous training and validation using extensive image datasets, we successfully developed a three-class classifier, referred to as the LSM model, capable of reliably distinguishing long-term HS... Our study represents the pioneering use of deep learning to differentiate HSCs and MPPs under steady-state conditions. This novel and robust deep learning-based platform will provide a basis for the f...

Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles.

Breast cancer is the most common malignancy among women worldwide. Despite advances in treating breast cancer over the past decades, drug resistance and adverse effects remain challenging. Recent ther... This study developed a deep neural network model that predicts synergy between small-molecule pairs based on their inhibitory activities against 13 selected key proteins. The synergy prediction model ... The framework employed in the present study lays the groundwork for future advancements, especially in model interpretation. By combining deep learning techniques and target-specific models, this stud...

Deep learning algorithm applied to plain CT images to identify superior mesenteric artery abnormalities.

Atypical presentations, lack of biomarkers, and low sensitivity of plain CT can delay the diagnosis of superior mesenteric artery (SMA) abnormalities, resulting in poor clinical outcomes. Our study ai... A total of 1048 patients comprised the internal (474 patients with SMA abnormalities, 474 controls) and external testing (50 patients with SMA abnormalities, 50 controls) cohorts. The internal cohort ... Of the submodels, YOLOv8x had the best performance. The area under the curve (AUC) of the YOLOv8x submodel was higher than that of the clinical model (internal test set: 0.990 vs 0.878, P =.002; exter... Using plain CT images, YOLOv8x was able to efficiently identify cases of SMA abnormalities. This could potentially improve early diagnosis accuracy and thus improve clinical outcomes....