Deep learning may produce sharp reductions in DBT dose

An artificial intelligence algorithm may enable breast imagers to sharply reduce...Read more on AuntMinnie.comRelated Reading: AI can help distinguish lung nodules on CT scans Special JACR issue focuses on imaging AI Can AI help in the fight against gadolinium deposition? Artificial intelligence guides lower PET tracer dose
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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Lung cancer is the most frequent type of cancer across genders and the most common reason for cancer-related death worldwide [1]. Hybrid positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (FDG) is an established imaging method for the staging of patients with lung cancer [2]. Recently, the use of artificial intelligence and more specifically deep learning has produced promising results in various applications in medicine, including automated skin cancer detection [3] or automated Alzheimer disease detection based on FDG-PET data [4].
Source: Lung Cancer - Category: Cancer & Oncology Authors: Source Type: research
In-line free propagation phase-contrast synchrotron tomography of the lungs has been shown to provide superior image quality compared with attenuation-based computed tomography (CT) in small-animal studies. The present study was performed to prove the applicability on a human-patient scale using a chest phantom with ventilated fresh porcine lungs. Local areas of interest were imaged with a pixel size of 100   µ m, yielding a high-resolution depiction of anatomical hallmarks of healthy lungs and artificial lung nodules. Details like fine spiculations into surrounding alveolar spaces were shown on a micrometre scale....
Source: Journal of Synchrotron Radiation - Category: Physics Authors: Tags: propagation based imaging phase retrieval synchrotron radiation preclinical chest phantom high-resolution porcine lung imaging research papers Source Type: research
We report herein three cases of major hepatectomy with IVC invasion and discuss several surgical tips.Patients and MethodsFrom March 2011 to February 2014, we retrospectively reviewed three cases of adrenal malignancy with liver and IVC invasion. Based on the severity of the malignant tumor, each case illustrates a different method to address surgical complications and maintain oncologic safety. Case 1: A 34-year-old woman was diagnosed with adrenocortical tumor during medical examination. Tumor invaded the right lobe of the liver and very close to the IVC. Fortunately, there was little thrombosis inside the IVC; we perfor...
Source: Annals of Surgical Oncology - Category: Cancer & Oncology Source Type: research
Physicians may soon use artificial intelligence (AI) and medical images to study tumors without a biopsy. The techniques developed to study tumors in this new way are described in the September 1 issue of The Lancet Oncology. Along with helping physicians learn more about tumors without surgery, the new approach should help identify which cancer patients will respond best to cutting-edge immunotherapy treatments. The AI techniques could be useful for “predicting clinical outcomes of patients treated with immunotherapy when validated by further prospective randomized trials,” the authors wrote. Immunotherapy tre...
Source: Asbestos and Mesothelioma News - Category: Environmental Health Authors: Source Type: news
CONCLUSIONS: MLN enlargement predicts TFS and hospitalization risk in ILD, and is associated with decreased levels of a key circulating cytokine sCD40L. Incorporating MLN and cytokine findings into current prediction models might improve ILD prognostication. PMID: 30216085 [PubMed - as supplied by publisher]
Source: American Journal of Respiratory and Critical Care Medicine - Category: Respiratory Medicine Authors: Tags: Am J Respir Crit Care Med Source Type: research
We report herein three cases of major hepatectomy with IVC invasion and discuss several surgical tips.Patients and MethodsFrom March 2011 to February 2014, we retrospectively reviewed three cases of adrenal malignancy with liver and IVC invasion. Based on the severity of the malignant tumor, each case illustrates a different method to address surgical complications and maintain oncologic safety. Case 1: A 34-year-old woman was diagnosed with adrenocortical tumor during medical examination. Tumor invaded the right lobe of the liver and very close to the IVC. Fortunately, there was little thrombosis inside the IVC; we perfor...
Source: Annals of Surgical Oncology - Category: Cancer & Oncology Source Type: research
A group from Alabama has developed a deep-learning artificial intelligence...Read more on AuntMinnie.comRelated Reading: AI algorithm can triage head CT exams for urgent review NIH issues huge database of CT scans for AI testing SNMMI: AI can avoid patient misidentification on PET/CT Deep learning accurately detects brain hemorrhage AI can prescreen chest CT studies for pneumothorax
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
Detecting lung nodules on CT scans is central to diagnosing cancer and the earlier that can be accomplished the better the outcome. Currently, only about two thirds of detectable nodules are actually spotted by trained professionals. Researchers at U...
Source: Medgadget - Category: Medical Devices Authors: Tags: Informatics Radiology Thoracic Surgery Source Type: blogs
As radiology artificial intelligence (AI) algorithms move toward clinical use,...Read more on AuntMinnie.comRelated Reading: New AI algorithm identifies small lung tumors on CT scans AI, new cardiac imaging technology can assess for CAD AI algorithm can triage head CT exams for urgent review AI characterizes complex mood disorders from fMRI 3 ways to ensure AI algorithms are really working
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
Researchers from Florida have developed an artificial intelligence (AI) algorithm...Read more on AuntMinnie.comRelated Reading: AI, new cardiac imaging technology can assess for CAD AI algorithm can triage head CT exams for urgent review AI characterizes complex mood disorders from fMRI NIH issues huge database of CT scans for AI testing Deep learning accurately detects brain hemorrhage
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
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