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339,647
result(s) for
"Diagnostic imaging"
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Tenecteplase for Stroke at 4.5 to 24 Hours with Perfusion-Imaging Selection
by
Schwamm, Lee H.
,
Albers, Gregory W.
,
Kim, Minjee
in
Body weight
,
Brain - blood supply
,
Brain - diagnostic imaging
2024
Tenecteplase for thrombolysis in a 4.5-to-24-hour window did not improve disability outcomes at 90 days in patients with ischemic stroke who had been chosen on the basis of imaging. Most patients had endovascular thrombectomy.
Journal Article
Point-of-Care Ultrasonography
by
Carter, Rachel E., MD
,
Jonas, Christopher E., DO
,
Arnold, Michael J., MD
in
Abdomen
,
Abscess - diagnostic imaging
,
Abscesses
2020
Point-of-care ultrasonography (POCUS) is performed by a physician at the bedside and is standard practice in obstetric, emergency, and musculoskeletal medicine. When compared with formal sonography, POCUS is equivalent in screening for abdominal aortic aneurysm and as accurate in diagnosing deep venous thrombosis. POCUS has high accuracy for diagnosing pneumonia and detecting acute decompensated heart failure but is less accurate than computed tomography for identifying pulmonary embolism. POCUS confirmation of intrauterine pregnancy rules out an ectopic pregnancy. In the third trimester of high-risk pregnancies, umbilical artery Doppler ultrasonography can improve perinatal outcomes. Musculoskeletal POCUS is used to diagnose and guide treatment of many joint and soft tissue conditions. It is as accurate as magnetic resonance imaging in the diagnosis of complete rotator cuff tears. Ultrasound guidance improves outcomes in the placement of central venous catheters and fluid drainage from body cavities and lumbar punctures. Ultrasonography can reduce the use of CT for diagnosis of appendicitis; however, negative scan results do not rule out disease. POCUS can accurately diagnose and rule out gallbladder pathology, and is effective for diagnosing urolithiasis. Focused cardiac ultrasonography can detect pericardial effusion and decreased systolic function, but is less accurate than lung ultrasonography at diagnosing acute heart failure. Limited evidence demonstrates a benefit of diagnosing testicular and gynecologic conditions. The American College of Emergency Physicians, the American Institute of Ultrasound in Medicine, the Society for Academic Emergency Medicine, the American College of Radiology, and others offer POCUS training. Training standards for POCUS have been defined for residency programs but are less established for credentialing. Illustration by Jonathan Dimes
Journal Article
Trial of Thrombectomy for Stroke with a Large Infarct of Unrestricted Size
by
Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)
,
Nouri, Nasreddine
,
Vega, Pedro
in
Acute Disease
,
Aged
,
Aged, 80 and over
2024
In patients with acute stroke and a large infarct of unrestricted size, use of thrombectomy and medical care within 7 hours after symptom onset led to better functional outcomes and lower mortality than medical care alone.
Journal Article
Automatic classification of focal liver lesions based on MRI and risk factors
by
Wessels, Frank J.
,
Viergever, Max A.
,
Pluim, Josien P. W.
in
Adenoma
,
Adenoma - diagnostic imaging
,
Algorithms
2019
Accurate classification of focal liver lesions is an important part of liver disease diagnostics. In clinical practice, the lesion type is often determined from the abdominal MR examination, which includes T2-weighted and dynamic contrast enhanced (DCE) MR images. To date, only T2-weighted images are exploited for automatic classification of focal liver lesions. In this study additional MR sequences and risk factors are used for automatic classification to improve the results and to make a step forward to a clinically useful aid for radiologists.
Clinical MRI data sets of 95 patients with in total 125 benign lesions (40 adenomas, 29 cysts and 56 hemangiomas) and 88 malignant lesions (30 hepatocellular carcinomas (HCC) and 58 metastases) were included in this study. Contrast curve, gray level histogram, and gray level co-occurrence matrix texture features were extracted from the DCE-MR and T2-weighted images. In addition, risk factors including the presence of steatosis, cirrhosis, and a known primary tumor were used as features. Fifty features with the highest ANOVA F-score were selected and fed to an extremely randomized trees classifier. The classifier evaluation was performed using the leave-one-out principle and receiver operating characteristic (ROC) curve analysis.
The overall accuracy for the classification of the five major focal liver lesion types is 0.77. The sensitivity/specificity is 0.80/0.78, 0.93/0.93, 0.84/0.82, 0.73/0.56, and 0.62/0.77 for adenoma, cyst, hemangioma, HCC, and metastasis, respectively.
The proposed classification system using features derived from clinical DCE-MR and T2-weighted images, with additional risk factors is able to differentiate five common types of lesions and is a step forward to a clinically useful aid for focal liver lesion diagnosis.
Journal Article
Artificial intelligence and machine learning in 2D/3D medical image processing
\"Medical image fusion is a process which merges information from multiple images of the same scene. The fused image provides appended information that can be utilized for more precise localization of abnormalities. The use of medical image processing databases will help to create and develop more accurate and diagnostic tools\"-- Provided by publisher.
Results of the Randomized Danish Lung Cancer Screening Trial with Focus on High-Risk Profiling
by
Skov, Birgit G.
,
Ashraf, Haseem
,
Seersholm, Niels
in
Adenocarcinoma - diagnostic imaging
,
Adenocarcinoma - mortality
,
Adenocarcinoma - pathology
2016
As of April 2015, participants in the Danish Lung Cancer Screening Trial had been followed for at least 5 years since their last screening.
Mortality, causes of death, and lung cancer findings are reported to explore the effect of computed tomography (CT) screening.
A total of 4,104 participants aged 50-70 years at the time of inclusion and with a minimum 20 pack-years of smoking were randomized to have five annual low-dose CT scans (study group) or no screening (control group).
Follow-up information regarding date and cause of death, lung cancer diagnosis, cancer stage, and histology was obtained from national registries. No differences between the two groups in lung cancer mortality (hazard ratio, 1.03; 95% confidence interval, 0.66-1.6; P = 0.888) or all-cause mortality (hazard ratio, 1.02; 95% confidence interval, 0.82-1.27; P = 0.867) were observed. More cancers were found in the screening group than in the no-screening group (100 vs. 53, respectively; P < 0.001), particularly adenocarcinomas (58 vs. 18, respectively; P < 0.001). More early-stage cancers (stages I and II, 54 vs. 10, respectively; P < 0.001) and stage IIIa cancers (15 vs. 3, respectively; P = 0.009) were found in the screening group than in the control group. Stage IV cancers were nonsignificantly more frequent in the control group than in the screening group (32 vs. 23, respectively; P = 0.278). For the highest-stage cancers (T4N3M1, 21 vs. 8, respectively; P = 0.025), this difference was statistically significant, indicating an absolute stage shift. Older participants, those with chronic obstructive pulmonary disease, and those with more than 35 pack-years of smoking had a significantly increased risk of death due to lung cancer, with nonsignificantly fewer deaths in the screening group.
No statistically significant effects of CT screening on lung cancer mortality were found, but the results of post hoc high-risk subgroup analyses showed nonsignificant trends that seem to be in good agreement with the results of the National Lung Screening Trial. Clinical trial registered with www.clinicaltrials.gov (NCT00496977).
Journal Article