Qu'est-ce qu'une échographie obstétricale ?

C'est une technique d'imagerie utilisant des ondes sonores pour visualiser le fœtus.

Comment fonctionne un test Pap ?

Il prélève des cellules du col de l'utérus pour détecter des anomalies précoces.

À quoi sert une hystéroscopie ?

Elle permet d'examiner l'intérieur de l'utérus à l'aide d'un instrument optique.

Quand faire un dépistage du cancer du sein ?

Il est recommandé de commencer à 50 ans, ou plus tôt selon les facteurs de risque.

Qu'est-ce qu'une amniocentèse ?

C'est un prélèvement de liquide amniotique pour analyser des anomalies génétiques.

Quels sont les symptômes d'une grossesse extra-utérine ?

Douleurs abdominales, saignements vaginaux et parfois des douleurs à l'épaule.

Comment reconnaître une infection vaginale ?

Par des démangeaisons, des pertes inhabituelles et des douleurs lors des rapports.

Quels signes indiquent un fibrome utérin ?

Saignements menstruels abondants, douleurs pelviennes et pression abdominale.

Quels symptômes d'endométriose ?

Douleurs pelviennes, règles douloureuses et douleurs pendant les rapports sexuels.

Quels sont les signes d'une prééclampsie ?

Hypertension, œdème et protéines dans les urines pendant la grossesse.

Comment prévenir les infections vaginales ?

Maintenir une bonne hygiène, éviter les douches vaginales et porter des sous-vêtements en coton.

Quelles sont les mesures préventives pour le cancer du col ?

Vaccination contre le HPV et dépistage régulier par test Pap.

Comment réduire le risque d'endométriose ?

Aucune méthode garantie, mais un suivi médical régulier peut aider à la détection précoce.

Quelles sont les recommandations pour une grossesse saine ?

Suivre un régime équilibré, faire de l'exercice et éviter l'alcool et le tabac.

Comment prévenir les complications de la grossesse ?

Suivi prénatal régulier et gestion des conditions de santé préexistantes.

Comment traiter une infection vaginale ?

Avec des antibiotiques ou des antifongiques selon le type d'infection.

Quel traitement pour les fibromes utérins ?

Options incluent médicaments, embolisation ou chirurgie selon la gravité.

Comment gérer l'endométriose ?

Traitements incluent médicaments anti-inflammatoires et chirurgie si nécessaire.

Quel est le traitement de la prééclampsie ?

Surveillance étroite et parfois accouchement anticipé pour protéger la mère et l'enfant.

Comment traiter le syndrome des ovaires polykystiques ?

Avec des changements de mode de vie, médicaments pour réguler les cycles menstruels.

Quelles complications peuvent survenir après une césarienne ?

Infections, hémorragies et complications liées à l'anesthésie.

Quels risques d'une grossesse multiple ?

Prématurité, faible poids à la naissance et complications pour la mère.

Quelles complications de l'endométriose ?

Infertilité, douleurs chroniques et risques accrus de cancer ovarien.

Quels sont les risques d'une prééclampsie non traitée ?

Peut entraîner des convulsions, des lésions organiques et des complications pour le fœtus.

Quelles complications peuvent survenir après un avortement ?

Infections, saignements excessifs et complications psychologiques.

Quels sont les facteurs de risque du cancer du sein ?

Antécédents familiaux, âge avancé et mutations génétiques comme BRCA1/2.

Quels facteurs augmentent le risque d'endométriose ?

Antécédents familiaux, menstruations précoces et cycles menstruels longs.

Quels sont les facteurs de risque de la prééclampsie ?

Antécédents de prééclampsie, obésité et hypertension chronique.

Quels facteurs influencent les infections vaginales ?

Déséquilibre hormonal, antibiotiques récents et pratiques d'hygiène inappropriées.

Quels sont les facteurs de risque des fibromes utérins ?

Obésité, antécédents familiaux et déséquilibres hormonaux.

Techniques de diagnostic gynécologique et obstétrique - Informations médicales vérifiées

Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers' performance and final diagnosis.

Jan 2023

DOI: 10.1007/s11604-022-01330-w PMID: 36121622

To evaluate the performance of a deep learning-based computer-aided detection (CAD) software for detecting pulmonary nodules, masses, and consolidation on chest radiographs (CRs) and to examine the ef... The CRs of 453 patients were retrospectively selected from two institutions. Among these CRs, 60 images with abnormal findings (pulmonary nodules, masses, and consolidation) and 140 without abnormal f... The mean wAFROC FOM score of the 12 readers significantly improved from 0.746 to 0.810 with software assistance (P = 0.007). In the reader group with < 6 years of experience, the mean FOM score signif... CAD software use improved doctors' performance in detecting nodules/masses and consolidation on CRs, particularly for non-expert doctors, by preventing doctors from missing distinct lesions rather tha...

Humans Lung Neoplasms Retrospective Studies Deep Learning Radiography, Thoracic +5 autres

Image feature index: A novel metric for quantifying chest radiographic image quality.

May 2023

DOI: 10.1002/mp.16206 PMID: 36606328

Radiographic X-ray imaging is a common clinical examination. Current objective methods for quantifying image quality for radiographs struggle to capture the combined impact of factors throughout the i... We proposed the image feature index (IFI) to comprehensively quantify radiographic X-ray image quality. We also aimed to study the correlation between IFI and observer-perceived image quality for ches... The IFI algorithm was developed, which measured the amount of information, textural features, and noise in the image. A total of 70 chest phantom radiographs were generated under 60-120 kV and 0.2-80 ... The curves of IFI versus DAP and IFI versus EI both demonstrated a similar three-stage form where IFI is above zero: in the first stage, IFI increases rapidly with increased DAP or EI, whereas in the ... IFI is a feasible and efficient descriptor for image quality for chest radiographs. Future studies with larger sample sizes and sample types are needed to confirm the feasibility of IFI for other exam...

Retrospective Studies Radiographic Image Enhancement Radiography Tomography, X-Ray Computed Algorithms +4 autres

Efficacy Evaluation of 64-Slice Spiral Computed Tomography Images in Laparoscopic-Assisted Distal Gastrectomy for Gastric Cancer under the Reconstruction Algorithm.

2022

DOI: 10.1155/2022/2464640 PMID: 36017021

This study was aimed to analyze the application value of the filtered back-projection (FBP) reconstruction algorithm of computed tomography (CT) images in laparoscopic-assisted distal gastrectomy. In ...

Algorithms Gastrectomy Humans Laparoscopy Radiation Dosage +3 autres

Computer-assisted diagnosis for an early identification of lung cancer in chest X rays.

12 05 2023

DOI: 10.1038/s41598-023-34835-z PMID: 37173327

Computer-assisted diagnosis (CAD) algorithms have shown its usefulness for the identification of pulmonary nodules in chest x-rays, but its capability to diagnose lung cancer (LC) is unknown. A CAD al...

Humans X-Rays Tomography, X-Ray Computed Retrospective Studies Solitary Pulmonary Nodule +5 autres

Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography.

Apr 2023

DOI: 10.1007/s11547-023-01607-8 PMID: 36847992

To perform a comprehensive intraindividual objective and subjective image quality evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image reconstruction (DLIR) and to asses... Fifty-one patients (29 males) undergoing clinically indicated CCTA from April to December 2021 were prospectively enrolled. Fourteen datasets were reconstructed for each patient: three DLIR strength l... DLIR algorithm did not impact vascular attenuation (P ≥ 0.374). DLIR_H showed the lowest noise, comparable with ASiR-V 100% (P = 1) and significantly lower than other reconstructions (P ≤ 0.021). DLIR... DLIR_M significantly improves CCTA image quality and has very strong correlation with routinely applied ASiR-V 50% dataset in the diagnosis of CAD....

Male Humans Computed Tomography Angiography Deep Learning Radiographic Image Interpretation, Computer-Assisted +4 autres

Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study.

10 2023

DOI: 10.1007/s00247-023-05717-3 PMID: 37488451

Craniofacial computed tomography (CT) is the diagnostic investigation of choice for craniosynostosis, but high radiation dose remains a concern.... To evaluate the image quality and diagnostic performance of an ultra-low-dose craniofacial CT protocol with deep learning reconstruction for diagnosis of craniosynostosis.... All children who underwent initial craniofacial CT for suspected craniosynostosis between September 2021 and September 2022 were included in the study. The ultra-low-dose craniofacial CT protocol usin... Among 29 patients (15 routine-dose CT and 14 ultra-low-dose CT), 23 patients had craniosynostosis. The 3-D volume-rendered images of ultra-low-dose CT without deep learning showed decreased image qual... In this pilot study, an ultra-low-dose CT protocol using radiation doses at a level similar to skull radiographs showed preserved diagnostic performance for craniosynostosis, but decreased image quali...

Child Humans Pilot Projects Deep Learning Radiation Dosage +5 autres

Radiographers' experiences of image interpretation training in a low-resource setting.

05 2023

DOI: 10.1016/j.radi.2023.03.012 PMID: 37027946

Radiographers extend their roles through formal and on-the-job training to keep up with clinical practice changes. One area of role extension that is now incorporated into undergraduate programmes is ... A qualitative phenomenological research design was employed to investigate the experiences of ten radiography graduates who were purposively selected from one higher education institution. Individual ... From the ten interviews conducted, teaching approach, clinical education, and assessment strategy emerged as areas of experience within the teaching and learning theme, while practitioner role modelli... The participants' experiences reflected a misalignment in the educational process due to inadequacies in the teaching approach, clinical education, and assessment strategies. Participants encountered ... While these findings are specific to the experiences of the participants, conducting similar research in comparable contexts and implementing competency-based image interpretation assessments could he...

Humans Radiography Learning Allied Health Personnel Students +1 autres

UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments.

11 2022

DOI: 10.1016/j.radi.2022.06.006 PMID: 35780627

Radiographer reporting is accepted practice in the UK. With a national shortage of radiographers and radiologists, artificial intelligence (AI) support in reporting may help minimise the backlog of un... A Qualtrics® survey was designed and piloted by a team of UK AI expert radiographers. This paper reports the third part of the survey, open to reporting radiographers only.... 86 responses were received. Respondents were confident in how an AI reached its decision (n = 53, 62%). Less than a third of respondents would be confident communicating the AI decision to stakeholder... Responses indicate that AI will have a strong impact on reporting radiographers' decision making in the future. Respondents are confident in how an AI makes decisions but less confident explaining thi... This survey clarifies UK reporting radiographers' perceptions of AI, used for image interpretation, highlighting key issues with AI integration....

Artificial Intelligence Clinical Competence Humans Radiologists Radiology +1 autres

Novel training approach to improve a cohort of radiographers' image interpretation skills of trauma chest radiographs.

29 Feb 2024

DOI: 10.1016/j.jmir.2024.02.003 PMID: 38429173

Zambia is experiencing a critical shortage of radiologists responsible for interpreting X-ray images. Nine radiologists serve the entire population of over 18 million people. Consequently, referring p... A cohort of 27 radiographers employed at eight public hospitals in the Copperbelt Province of Zambia undertook a training intervention using face-to-face training and image discussions on the social m... The cohort of radiographers (n = 27) showed an improvement in their interpretation skills for trauma CXR images. The interpretation median scores ranged from approximately 82% to 93% in the pre-test a... This type of novel training intervention is urgently required in the Copperbelt Province of Zambia. The results show that the training process was implemented successfully to improve radiographers' im... Promoting radiographers' involvement in image interpretation will likely improve imaging services in Zambia, considering the critical shortage of radiologists....

Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans.

26 Mar 2023

DOI: 10.3390/s23073472 PMID: 37050532

This study evaluated the effect of pitch on 256-slice helical computed tomography (CT) scans. Cylindrical water phantoms (CWP) were measured using axial and helical scans with various pitch values. Th...

Radiographic Image Interpretation, Computer-Assisted Prospective Studies Tomography, X-Ray Computed Phantoms, Imaging Radiation Dosage +2 autres

Techniques de diagnostic gynécologique et obstétrique : Questions médicales fréquentes

Termes MeSH sélectionnés :

Questions fréquentes et termes MeSH associés

Diagnostic 5

Symptômes 5

Prévention 5

Traitements 5

Complications 5

Facteurs de risque 5

Contenu validé par Dr Olivier Menir

Sous-catégories

Hystérosalpingographie

Tests de la fonction ovarienne

Tests fonctionnels placentaires

Diagnostic préimplantatoire

Diagnostic prénatal

Échographie mammaire

Tests de dépistage du sérum maternel

Échographie prénatale

Mesure de la longueur du col utérin

Mesure de la clarté nucale

Auteurs principaux

Sources (10000 au total)