WHO recommends CAD with chest x-rays to fight tuberculosis

The World Health Organization (WHO) has updated its recommendations for tuberculosis (TB) screening to now include the use of computer-aided detection (CAD) applications in chest radiography, according to officials who discussed the update during a presentation on March 23 organized by the International Society of Radiology. The new recommendation comes at a time when screening […]

COVID-19 Imaging: What We Know Now and What Remains Unknown

Abstract Several classification and reporting schemes were developed for chest imaging early during the pandemic for patients with suspected COVID-19 to aid in triage when the availability of RT-PCR testing was limited and its performance unclear. Finally, artificial intelligence has shown promise in both diagnosis and prognosis of COVID-19 pneumonia both with respect to radiography […]

AI rivals human radiologists at breast-cancer detection

AI rivals human radiologists at breast-cancer detection A comparison of three commercially available artificial intelligence (AI) systems for breast cancer detection has found that the best of them performs as well as a human radiologist. Researchers applied the algorithms to a database of mammograms captured during routine cancer screening of nearly 9000 women in Sweden. […]

Radiologists, AI make a great team in screening mammo

Radiologists, AI make a great team in screening mammo August 27, 2020 — The combination of an artificial intelligence (AI)-based computer-aided detection (CAD) algorithm with radiologist interpretation can detect more cases of breast cancer on screening mammograms than double reading by radiologists, according to research published online August 27 in JAMA: Oncology. Researchers from the […]

Breast screening women in their 40’s to save lives

Breast screening women in their 40s to save lives – long-term UK study A 23-year follow-up of a large UK trial found that screening women aged 40-49 led to a substantial and significant 25% reduction in breast cancer mortality in the first 10 years. The UK, along with many other countries, has a breast cancer […]

Groundbreaking Way to Search Lungs for Signs of COVID-19

When Covid-19 was at its height in China, doctors in the city of Wuhan were able to use artificial intelligence (AI) algorithms to scan the lungs of thousands of patients. The algorithm in question, developed by Axial AI, analyses CT imagery in seconds. It declares, for example, whether a patient has a high risk of […]

Distinguishing COVID-19 from Pneumonia

AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT Purpose To establish and evaluate an artificial intelligence (AI) system in differentiating COVID-19 and other pneumonia on chest CT and assess radiologist performance without and with AI assistance. Methods 521 patients with positive RT-PCR for COVID-19 and abnormal chest […]

The Role of Chest Imaging in Patient Management

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society Essentials Imaging is not indicated in patients with suspected COVID-19 and mild clinical features unless they are at risk for disease progression. Imaging is indicated in a patient with COVID-19 and worsening respiratory status. In […]

COVID-19 in Rome, Italy

Chest CT Features of COVID-19 in Rome, Italy Purpose To investigate CT features of patients with COVID-19 in Rome, Italy, and to compare the accuracy of CT with RT-PCR.     Methods In this prospective study from March 4, 2020, until March 19, 2020, consecutive patients with suspected COVID-19 infection and respiratory symptoms were enrolled. […]

Chest Radiographic Findings

Frequency and Distribution of Chest Radiographic Findings in COVID-19 Positive Patients. Purpose To describe the time course and severity of the CXR findings of COVID-19 and correlate these with real time reverse transcription polymerase chain reaction (RT-PCR) testing for SARS-Cov-2 nucleic acid. Materials and Methods Retrospective study of COVID-19 patients with RT-PCR confirmation and CXRs […]