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"headline": "Diagnostic sur Lévorphanol",
"description": "Comment diagnostiquer une douleur nécessitant du lévorphanol ?\nQuels tests sont utilisés pour évaluer la douleur ?\nLe lévorphanol est-il prescrit pour tous les types de douleur ?\nQuels critères déterminent l'utilisation du lévorphanol ?\nLe lévorphanol est-il utilisé en cas de douleur chronique ?",
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"description": "Quelles complications peuvent survenir avec le lévorphanol ?\nLe lévorphanol peut-il interagir avec d'autres médicaments ?\nComment gérer une réaction allergique au lévorphanol ?\nQuels sont les signes d'une surdose de lévorphanol ?\nLe lévorphanol peut-il causer des problèmes cardiaques ?",
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"headline": "Facteurs de risque sur Lévorphanol",
"description": "Qui est à risque de dépendance au lévorphanol ?\nLes jeunes adultes sont-ils plus à risque avec le lévorphanol ?\nQuels facteurs augmentent le risque d'effets secondaires ?\nLe lévorphanol est-il risqué pour les femmes enceintes ?\nLes personnes ayant des problèmes respiratoires sont-elles à risque ?",
"url": "https://questionsmedicales.fr/mesh/D007981?mesh_terms=Diffusion+Tensor+Imaging&page=1000#section-facteurs de risque"
}
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"@type": "Question",
"name": "Comment diagnostiquer une douleur nécessitant du lévorphanol ?",
"position": 1,
"acceptedAnswer": {
"@type": "Answer",
"text": "Un diagnostic se fait par évaluation clinique et historique médical du patient."
}
},
{
"@type": "Question",
"name": "Quels tests sont utilisés pour évaluer la douleur ?",
"position": 2,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des échelles de douleur et des examens physiques sont utilisés pour évaluer l'intensité."
}
},
{
"@type": "Question",
"name": "Le lévorphanol est-il prescrit pour tous les types de douleur ?",
"position": 3,
"acceptedAnswer": {
"@type": "Answer",
"text": "Non, il est principalement utilisé pour la douleur modérée à sévère, pas pour la douleur légère."
}
},
{
"@type": "Question",
"name": "Quels critères déterminent l'utilisation du lévorphanol ?",
"position": 4,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les critères incluent l'intensité de la douleur et la réponse aux traitements antérieurs."
}
},
{
"@type": "Question",
"name": "Le lévorphanol est-il utilisé en cas de douleur chronique ?",
"position": 5,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, il peut être utilisé pour la douleur chronique lorsque d'autres traitements échouent."
}
},
{
"@type": "Question",
"name": "Quels sont les effets secondaires du lévorphanol ?",
"position": 6,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les effets secondaires incluent la somnolence, la constipation et des nausées."
}
},
{
"@type": "Question",
"name": "Le lévorphanol peut-il provoquer des réactions allergiques ?",
"position": 7,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des réactions allergiques peuvent survenir, bien que rares."
}
},
{
"@type": "Question",
"name": "Quels symptômes indiquent une surdose de lévorphanol ?",
"position": 8,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les symptômes incluent la dépression respiratoire, la somnolence excessive et la confusion."
}
},
{
"@type": "Question",
"name": "Comment reconnaître une dépendance au lévorphanol ?",
"position": 9,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des signes de dépendance incluent le besoin compulsif de médicament et des symptômes de sevrage."
}
},
{
"@type": "Question",
"name": "Le lévorphanol peut-il affecter l'humeur ?",
"position": 10,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, il peut provoquer des changements d'humeur, y compris l'euphorie ou la dépression."
}
},
{
"@type": "Question",
"name": "Comment prévenir les effets secondaires du lévorphanol ?",
"position": 11,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une surveillance régulière et l'ajustement de la posologie peuvent aider à prévenir les effets secondaires."
}
},
{
"@type": "Question",
"name": "Quelles précautions prendre avant de commencer le lévorphanol ?",
"position": 12,
"acceptedAnswer": {
"@type": "Answer",
"text": "Informez votre médecin de vos antécédents médicaux et des médicaments que vous prenez."
}
},
{
"@type": "Question",
"name": "Le lévorphanol est-il sûr pour les personnes âgées ?",
"position": 13,
"acceptedAnswer": {
"@type": "Answer",
"text": "Il doit être utilisé avec prudence chez les personnes âgées en raison du risque accru d'effets secondaires."
}
},
{
"@type": "Question",
"name": "Comment éviter la dépendance au lévorphanol ?",
"position": 14,
"acceptedAnswer": {
"@type": "Answer",
"text": "Utilisez-le uniquement selon les prescriptions et évitez l'auto-médication."
}
},
{
"@type": "Question",
"name": "Quelles alternatives au lévorphanol existent ?",
"position": 15,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des alternatives incluent d'autres analgésiques opioïdes ou des traitements non opioïdes."
}
},
{
"@type": "Question",
"name": "Comment le lévorphanol est-il administré ?",
"position": 16,
"acceptedAnswer": {
"@type": "Answer",
"text": "Il est généralement administré par voie orale ou intraveineuse selon la situation clinique."
}
},
{
"@type": "Question",
"name": "Quelle est la posologie habituelle du lévorphanol ?",
"position": 17,
"acceptedAnswer": {
"@type": "Answer",
"text": "La posologie varie, mais commence souvent à 2-4 mg toutes les 6-8 heures selon la douleur."
}
},
{
"@type": "Question",
"name": "Le lévorphanol peut-il être combiné avec d'autres analgésiques ?",
"position": 18,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, il peut être utilisé en association avec d'autres analgésiques pour un meilleur contrôle de la douleur."
}
},
{
"@type": "Question",
"name": "Quels sont les risques d'un traitement prolongé au lévorphanol ?",
"position": 19,
"acceptedAnswer": {
"@type": "Answer",
"text": "Un traitement prolongé peut entraîner une tolérance, une dépendance et des effets secondaires accrus."
}
},
{
"@type": "Question",
"name": "Comment arrêter le lévorphanol en toute sécurité ?",
"position": 20,
"acceptedAnswer": {
"@type": "Answer",
"text": "L'arrêt doit être progressif sous supervision médicale pour éviter les symptômes de sevrage."
}
},
{
"@type": "Question",
"name": "Quelles complications peuvent survenir avec le lévorphanol ?",
"position": 21,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les complications incluent la dépression respiratoire, la constipation sévère et la dépendance."
}
},
{
"@type": "Question",
"name": "Le lévorphanol peut-il interagir avec d'autres médicaments ?",
"position": 22,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, il peut interagir avec d'autres médicaments, augmentant le risque d'effets indésirables."
}
},
{
"@type": "Question",
"name": "Comment gérer une réaction allergique au lévorphanol ?",
"position": 23,
"acceptedAnswer": {
"@type": "Answer",
"text": "En cas de réaction allergique, arrêtez le médicament et consultez immédiatement un médecin."
}
},
{
"@type": "Question",
"name": "Quels sont les signes d'une surdose de lévorphanol ?",
"position": 24,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les signes incluent la somnolence extrême, la confusion et la difficulté à respirer."
}
},
{
"@type": "Question",
"name": "Le lévorphanol peut-il causer des problèmes cardiaques ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Il peut provoquer des problèmes cardiaques chez certains patients, surtout en cas de surdose."
}
},
{
"@type": "Question",
"name": "Qui est à risque de dépendance au lévorphanol ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les personnes ayant des antécédents de dépendance ou de troubles de l'humeur sont à risque."
}
},
{
"@type": "Question",
"name": "Les jeunes adultes sont-ils plus à risque avec le lévorphanol ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, les jeunes adultes peuvent être plus susceptibles de développer une dépendance aux opioïdes."
}
},
{
"@type": "Question",
"name": "Quels facteurs augmentent le risque d'effets secondaires ?",
"position": 28,
"acceptedAnswer": {
"@type": "Answer",
"text": "L'âge avancé, les maladies chroniques et l'utilisation concomitante d'autres médicaments augmentent le risque."
}
},
{
"@type": "Question",
"name": "Le lévorphanol est-il risqué pour les femmes enceintes ?",
"position": 29,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, il peut présenter des risques pour le fœtus et doit être évité sauf en cas de nécessité."
}
},
{
"@type": "Question",
"name": "Les personnes ayant des problèmes respiratoires sont-elles à risque ?",
"position": 30,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, elles sont à risque accru de dépression respiratoire lors de l'utilisation de lévorphanol."
}
}
]
}
]
}
It has been shown that AI models can learn race on medical images, leading to algorithmic bias. Our aim in this study was to enhance the fairness of medical image models by eliminating bias related to...
This study included 44,953 patients who identified as Asian, Black, or White (mean age, 60.68 years ±18.21; 23,499 women) for a total of 194,359 chest X-rays (CXRs) from MIMIC-CXR database. The includ...
In the detection of radiological findings, training a model using augmented CXR images was shown to reduce disparities in error rate among racial groups (-5.45%), age groups (-13.94%), and sex (-22.22...
The model trained using the augmented images was less likely to be influenced by demographic information in detecting image labels. These results demonstrate that the proposed augmentation scheme coul...
National Science and Technology Council (Taiwan), National Institutes of Health....
Investigations on plant-pathogen interactions require quantitative, accurate, and rapid phenotyping of crop diseases. However, visual assessment of disease symptoms is preferred over available numeric...
We developed an image analysis script in Python, called SeptoSympto. This script uses deep learning models based on the U-Net and YOLO architectures to quantify necrosis and pycnidia on detached, flat...
SeptoSympto takes the same amount of time as a visual assessment to evaluate STB symptoms. However, unlike visual assessments, it allows for data to be stored and evaluated by experts and non-experts ...
To evaluate the diagnostic performance of CT-like MR images reconstructed with an algorithm combining compressed sense (CS) with deep learning (DL) in patients with suspected osseous shoulder injury c...
Thirty-two patients (12 women, mean age 46 ± 14.9 years) with suspected traumatic shoulder injury were prospectively enrolled into the study. All patients received MR imaging of the shoulder, includin...
Compared to CT, all acute fractures (n = 23) and osseous pathologies were detected accurately on the CS only and CS DL images with almost perfect agreement between the CS DL and CS only images (κ 0.95...
Evaluation of traumatic shoulder pathologies is feasible using a DL-based algorithm for reconstruction of high-resolution CT-like MR imaging....
To explore the differences between low kiloelectron volt (keV) virtual monoenergetic images (VMIs) using IQon spectral CT and conventional CT (120 kVp) in the diagnosis of osteoporosis....
This retrospective study included 317 patients who underwent IQon spectral CT and dual-energy X-ray absorptiometry (DXA) examination. Commercial deep learning-based software was used for the fully aut...
Random forest-based prediction model obtained good overall performance among all classifiers, and macro/micro average AUC values of 0.820/840, 0.834/853, and 0.831/852 were obtained based on 40/70 keV...
The performance of the osteoporosis diagnosis model using IQon spectral CT simulating the low tube voltage scanning condition (less than 120 kVp) was also satisfactory. Bone density screening evaluati...
To evaluate the association of intracranial non-stenotic atherosclerotic plaque with cerebral small vessel disease (CSVD) imaging markers in a CSVD population using 3.0 T high-resolution magnetic reso...
We aimed to compare the image quality and focal lesion detection ability of hepatobiliary phase (HBP) images obtained using compressed sensing (CS) and controlled aliasing in parallel imaging results ...
We retrospectively included 244 gadoxetic acid-enhanced liver MRI from 244 patients with cirrhosis obtained by two HBP images using CS and CAIPIRINHA from July 2020 to December 2020. The optimized res...
CS-HBP showed comparable overall image quality (3.7 ± 0.9 vs. 3.6 ± 0.8, p = 0.680), superior liver edge sharpness (3.9 ± 0.6 vs. 3.6 ± 0.5, p < 0.001), and fewer respiratory motion artifacts (4.0 ± 0...
CS-HBP showed better focal lesion detection ability, comparable overall image quality, and fewer respiratory motion artifacts, but higher non-respiratory artifacts and noise compared to CAIPIRINHA-HBP...
Thin-slice CS-HBP may be useful for detecting sub-centimeter hepatocellular carcinoma in cirrhotic patients with Child-Pugh classification A while maintaining comparable subjective image quality....
• Compared with controlled aliasing in parallel imaging results in higher acceleration, compressed sensing hepatobiliary phase yielded thinner slices and shorter scan time at a higher accelerating fac...
A content-based image retrieval system, as an Indonesian traditional woven fabric knowledge base, can be useful for artisans and trade promotions. However, creating an effective and efficient retrieva...
The collection and annotation of medical images are hindered by data scarcity, privacy, and ethical reasons or limited resources, negatively affecting deep learning approaches. Data augmentation is of...
We propose the novel use of statistical shape and intensity models (SSIM) to generate augmented images with variety in both shape and intensity of imaged structures and surroundings. The SSIM uses seg...
In a fivefold cross-validation, the SSIM augmentation improved segmentation robustness and accuracy. In particular, the combination of basic and SSIM augmentation outperformed trained models not using...
We proposed a novel augmentation varying both the shape and appearance of structures in generated images. Tested on bone segmentation, our approach is generalizable to other structures or tasks such a...
Our data augmentation approach produces realistic shape and appearance variations of structures in generated images, which supports the clinical adoption of AI in radiology by alleviating the collecti...
• Data augmentation generally improves the accuracy and generalization of deep learning models. • Traditional data augmentation does not consider the appearance of imaged structures. • Statistical sha...