Titre : Traitement automatique des données

Traitement automatique des données : Questions médicales fréquentes

Termes MeSH sélectionnés :

Lymph Node Excision
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Traitement automatique des données", "description": "Comment les données aident-elles à identifier les symptômes ?\nLes symptômes peuvent-ils être prédits par des algorithmes ?\nQuels types de symptômes sont souvent analysés ?\nLe traitement des données peut-il aider à suivre l'évolution des symptômes ?\nLes symptômes peuvent-ils être classés par traitement des données ?", "url": "https://questionsmedicales.fr/mesh/D001330?mesh_terms=Lymph+Node+Excision&page=2#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Traitement automatique des données", "description": "Le traitement des données aide-t-il à la prévention des maladies ?\nQuels types de données sont utilisés pour la prévention ?\nComment les données aident-elles à sensibiliser le public ?\nLe traitement des données peut-il améliorer les programmes de vaccination ?\nComment les données influencent-elles les politiques de santé publique ?", "url": "https://questionsmedicales.fr/mesh/D001330?mesh_terms=Lymph+Node+Excision&page=2#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Traitement automatique des données", "description": "Comment le traitement des données influence-t-il les choix thérapeutiques ?\nLes traitements peuvent-ils être personnalisés grâce aux données ?\nQuels types de données sont utilisés pour évaluer l'efficacité des traitements ?\nLe traitement des données peut-il prédire les effets secondaires ?\nComment les données aident-elles à évaluer les traitements alternatifs ?", "url": "https://questionsmedicales.fr/mesh/D001330?mesh_terms=Lymph+Node+Excision&page=2#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Traitement automatique des données", "description": "Le traitement des données peut-il identifier des complications précoces ?\nQuels types de complications sont souvent analysés ?\nComment les données aident-elles à gérer les complications ?\nLe traitement des données peut-il aider à prévenir les complications ?\nLes complications peuvent-elles être prédites par des modèles de données ?", "url": "https://questionsmedicales.fr/mesh/D001330?mesh_terms=Lymph+Node+Excision&page=2#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Traitement automatique des données", "description": "Comment le traitement des données identifie-t-il les facteurs de risque ?\nQuels facteurs de risque sont souvent étudiés ?\nLe traitement des données peut-il aider à réduire les facteurs de risque ?\nComment les données influencent-elles les recommandations de santé ?\nLes facteurs de risque peuvent-ils être modélisés ?", "url": "https://questionsmedicales.fr/mesh/D001330?mesh_terms=Lymph+Node+Excision&page=2#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment le traitement des données aide-t-il au diagnostic ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Il permet d'analyser rapidement de grandes quantités de données pour identifier des tendances." } }, { "@type": "Question", "name": "Quels outils sont utilisés pour le diagnostic automatisé ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des algorithmes d'apprentissage automatique et des systèmes d'aide à la décision médicale." } }, { "@type": "Question", "name": "Le traitement des données peut-il réduire les erreurs de diagnostic ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il améliore la précision en fournissant des analyses basées sur des données probantes." } }, { "@type": "Question", "name": "Quels types de données sont analysés pour le diagnostic ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Des données cliniques, biologiques et d'imagerie médicale sont couramment utilisées." } }, { "@type": "Question", "name": "Le traitement des données est-il utilisé en médecine préventive ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il aide à identifier les facteurs de risque et à prédire les maladies." } }, { "@type": "Question", "name": "Comment les données aident-elles à identifier les symptômes ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Elles permettent de corréler des symptômes à des maladies à partir de vastes bases de données." } }, { "@type": "Question", "name": "Les symptômes peuvent-ils être prédits par des algorithmes ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des modèles prédictifs peuvent estimer la probabilité de symptômes basés sur des données." } }, { "@type": "Question", "name": "Quels types de symptômes sont souvent analysés ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes courants comme la douleur, la fatigue et les troubles respiratoires sont analysés." } }, { "@type": "Question", "name": "Le traitement des données peut-il aider à suivre l'évolution des symptômes ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il permet de surveiller les changements dans les symptômes au fil du temps." } }, { "@type": "Question", "name": "Les symptômes peuvent-ils être classés par traitement des données ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Oui, ils peuvent être classés par fréquence, gravité et association avec des maladies." } }, { "@type": "Question", "name": "Le traitement des données aide-t-il à la prévention des maladies ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il identifie les tendances et les facteurs de risque pour des interventions précoces." } }, { "@type": "Question", "name": "Quels types de données sont utilisés pour la prévention ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Des données épidémiologiques, comportementales et environnementales sont analysées." } }, { "@type": "Question", "name": "Comment les données aident-elles à sensibiliser le public ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des informations sur les risques et les comportements sains à adopter." } }, { "@type": "Question", "name": "Le traitement des données peut-il améliorer les programmes de vaccination ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il aide à cibler les populations à risque et à évaluer l'efficacité des campagnes." } }, { "@type": "Question", "name": "Comment les données influencent-elles les politiques de santé publique ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des preuves pour orienter les décisions et les priorités en santé publique." } }, { "@type": "Question", "name": "Comment le traitement des données influence-t-il les choix thérapeutiques ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Il fournit des recommandations basées sur des données probantes et des résultats antérieurs." } }, { "@type": "Question", "name": "Les traitements peuvent-ils être personnalisés grâce aux données ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'analyse des données permet de personnaliser les traitements selon le profil du patient." } }, { "@type": "Question", "name": "Quels types de données sont utilisés pour évaluer l'efficacité des traitements ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Des données cliniques, des résultats de laboratoire et des retours des patients sont utilisés." } }, { "@type": "Question", "name": "Le traitement des données peut-il prédire les effets secondaires ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il peut identifier des modèles d'effets secondaires à partir de données historiques." } }, { "@type": "Question", "name": "Comment les données aident-elles à évaluer les traitements alternatifs ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Elles permettent de comparer l'efficacité et la sécurité des traitements alternatifs." } }, { "@type": "Question", "name": "Le traitement des données peut-il identifier des complications précoces ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il permet de détecter des signes avant-coureurs de complications à partir des données." } }, { "@type": "Question", "name": "Quels types de complications sont souvent analysés ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Des complications liées aux traitements, aux maladies chroniques et aux infections sont analysées." } }, { "@type": "Question", "name": "Comment les données aident-elles à gérer les complications ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des informations sur les meilleures pratiques et les résultats des interventions." } }, { "@type": "Question", "name": "Le traitement des données peut-il aider à prévenir les complications ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il permet d'identifier les patients à risque et d'adapter les soins en conséquence." } }, { "@type": "Question", "name": "Les complications peuvent-elles être prédites par des modèles de données ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des modèles prédictifs peuvent estimer le risque de complications basées sur des données." } }, { "@type": "Question", "name": "Comment le traitement des données identifie-t-il les facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Il analyse des données démographiques, comportementales et cliniques pour identifier des corrélations." } }, { "@type": "Question", "name": "Quels facteurs de risque sont souvent étudiés ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Des facteurs comme l'âge, le sexe, le mode de vie et les antécédents médicaux sont analysés." } }, { "@type": "Question", "name": "Le traitement des données peut-il aider à réduire les facteurs de risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il permet de cibler des interventions spécifiques pour réduire les risques identifiés." } }, { "@type": "Question", "name": "Comment les données influencent-elles les recommandations de santé ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des bases solides pour formuler des recommandations basées sur des preuves." } }, { "@type": "Question", "name": "Les facteurs de risque peuvent-ils être modélisés ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des modèles statistiques peuvent prédire l'impact des facteurs de risque sur la santé." } } ] } ] }

Sources (7902 au total)

Radiation, Lymph Node Dissection, or Both: Management of Lymph Node Micrometastases from Merkel Cell Carcinoma.

Regional lymph node micrometastases from Merkel cell carcinoma (MCC) can be treated with completion lymph node dissection (CLND) and/or radiation therapy (RT). It is unclear how these options compare ... This retrospective cohort study used data from years 2012-2019 of the National Cancer Database. Patients with MCC and clinically negative, but pathologically positive, lymph node metastases who receiv... A total of 962 patients were included [median (interquartile range) age, 74 (67-80) years, 662 (68.8%) male patients, 926 (96.3%) white patients]. The majority (63%, n = 606) had a CLND only, while 18... The usage of RT for nodal micrometastasis in MCC is increasing as compared with CLND. This strategy appears to be safe, with no significant difference in survival outcomes....

Clinical outcomes of neoadjuvant therapy followed by selective inguinal lymph node dissection and total mesorectal excision for metastasized low rectal cancer.

Rectal or anal canal adenocarcinoma with inguinal lymph node metastasis (ILNM) is rare and is associated with poor prognostic outcomes. This study aimed to elucidate the clinical significance of neoad... This study enrolled 15 consecutive patients who underwent neoadjuvant therapy and curative resection for rectal or anal canal adenocarcinoma with clinically suspected ILNM between 2005 and 2019 at a s... Out of the15 patients, 11 were treated with neoadjuvant chemoradiation, three with chemotherapy, and one with chemoradiation followed by chemotherapy. Fluorodeoxyglucose (FDG)-positron emission tomogr... In patients with rectal or anal canal adenocarcinoma associated with clinical ILNM, radical resection with neoadjuvant therapy provides a good long-term survival....

Robotic versus laparoscopic total mesorectal excision with lateral lymph node dissection for advanced rectal cancer: A systematic review and meta-analysis.

Lateral pelvic node dissection (LPND) poses significant technical challenges. Despite the advent of robotic surgery, determining the optimal minimally invasive approach remains a topic of debate. This... This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) 2020 and AMSTAR 2 (Assessing the Methodological Quality of Systematic Revie... Six eligible studies involving 652 patients (316 and 336 in the R-LPND and L-LPND groups, respectively) were retrieved. The robotic approach demonstrated favourable outcomes compared with the laparosc... In summary, the robotic approach is a safe and feasible alternative for Total Mesorectal Excision (TME) with LPND in advanced rectal cancer. Notably, it is associated with lower morbidity, particularl...

Inguinal Lymph-Node Ratio (LNR) as a predictor of Pelvic Lymph-Node Metastasis in squamous cell carcinoma of penis.

To determine the predictors of pelvic lymph-node metastasis in cases of squamous cell carcinoma (SCC) of penis.... Data was retrospectively collected from 267 cases of SCC penis that presented at our institute between 2009 and 2019. Univariate and multivariate logistic regression models were used to identify indep... Pelvic Lymph-Node Metastasis (PLNM) was pathologically detected in 56 groins (29.2%). A cut-off of 0.25 was calculated for LNR based on ROC. LNR >0.25 (p = 0.003), ENE (p = 0.037), and LVI (p = 0.043)... LNR >0.25, LVI and, ENE are independent predictors of PLNM. The discriminative ability of LNR was better than PLN. PLND could be avoided if no risk factors are present....

Factors Associated With Lymph Node Yield and Effects of Lymph Node Density on Survival of Patients With Pulmonary Sarcomatoid Carcinoma.

The objective of this study was to identify factors associated with lymph node yield (LNY) during surgeries for pulmonary sarcomatoid carcinoma (PSC) and to determine effects of lymph node density (LN... The SEER Research Plus database was searched for data on patients with PSC from 1988 to 2018. Poisson regression was used of all patients with PSC to identify relevant factors associated with LNY. Uni... There were 545 eligible patients in the study sample, 175 of which were LN-positive. These patients had significantly lower 5-year OS than those with no positive LNs ( P <0.001). Poisson regression an... Patients with PSC with high LND experienced worse outcomes than those with low LND. Further risk stratification of patients with PSC may help to improve survival benefits based on prognostic indicator...

Impact of lymph node ratio and number of lymph node metastases on survival and recurrence in laryngeal squamous cell carcinoma.

The aim of this study is to assess the impact of lymph node ratio (LNR) and number of positive lymph nodes (NPLN) on mortality and recurrence rates in patients with laryngeal squamous cell carcinoma.... We conducted a retrospective multicenter international study involving 24 Otorhinolaryngology-Head and Neck Surgery divisions. Disease-specific survival (DSS) and disease-free survival (DFS) were eval... 2507 patients met the inclusion criteria. DSS and DFS were significantly different in the groups of patients stratified according to LNR and NPLN. The 5-year DSS and DFS based on LNR and NPLN demonstr... Our data demonstrate the potential prognostic value of NPLN and LNR in laryngeal squamous cell carcinoma....

Metastatic lymph node ratio as an important prognostic factor in advanced gallbladder carcinoma with at least 6 lymph nodes retrieved.

The metastatic lymph node (LN) ratio (LNR) has shown to be an important prognostic factor in various gastrointestinal malignancies. Nevertheless, the prognostic significance of LNR in gallbladder carc... From January 2007 to January 2018, 144 advanced GBC patients (T2-4 stages) who underwent curative surgery with at least 6 LNs retrieved were enrolled. Receiver operating characteristic (ROC) curve was... The optimal cut-off point for LNR was 0.28 according to the ROC curve. LNR>0.28 was associated with higher rate of D2 LN dissection (P=0.004) and higher tumor stages (P<0.001). Extent of liver resecti... LNR is correlated to advanced GBC prognosis and is a potential prognostic factor for advanced GBC with at least 6 LNs retrieved....

RATIO OF METASTATIC LYMPH NODES VS. RESECTED LYMPH NODES (N-RATIO) HAS PROGNOSTIC IMPLICATIONS IN GASTRIC CANCER.

Lymph node status is vital for gastric cancer (GC) prognosis, but the conventional pN stage may be limited by variations in lymphadenectomy and stage migration. The N-Ratio, which assesses the ratio o... To assess N-Ratios prognostic value in GC, particularly in patients with <25 resected lymph nodes.... Patients who underwent gastrectomy with curative intent for GC were retrospectively evaluated. The N-Ratio categories were determined using the ROC curve method, and the area under the curve (AUC) was... A total of 561 GC patients were included in the study, 57% had pN+ status, and 17.5% had <25 resected lymph nodes. N-Ratio, with a mean of 0.12, predicted survival with 74% accuracy (AUC=0.74; 95%CI 0... N-Ratio influenced survival in GC patients, especially in advanced lymph node disease (N-Ratio 3). Considering that N-Ratio does not impact pN0 cases, individualized prognosis assessment is essential ...

N1 lymph node detection in lymph node harvesting in non-small cell lung cancer: Formaldehyde exposure is a drawback?

This study aimed to evaluate the effect of lymph node dissection method on staging results, diagnosis of tumor metastasis in single or multiple N1 lymph nodes and survival rates in patients with non-s... Patients with NSCLC who underwent anatomic resection between September 2014 and October 2019 were examined prospectively. All patients with similar clinico-demographic characteristics were randomly as... There were no significant differences in N1 lymph node positivity between the two groups (p = 0.482). On average 9.08 lymph node sampling was performed in the surgical group and 2.39 in the pathology ... It is easier to detect lymph node involvement without introducing formaldehyde into the sample. We recommend that N1 lymph node dissection be performed on fresh specimens to detect more lymph node inv...