“Dirty data” and precision medicine make news
This week’s articles include: dirty data wanted for research; a blockchain distributed database might be viable for management of decentralized data; a three-modality molecular imaging system can detect certain types of atherosclerotic plaque that are more prone to rupture; technology leaders rate the state of precision medicine as a three on a scale of one to 10; and a new NIH precision medicine program wants 1 million plus participants to donate data as part of a genomics initiative.
Wanted: more data, the dirtier the better – Scientific American
Purvesh Khatri, a computational immunologist at Stanford University, has adopted a new approach to genomic discovery that calls for scouring public repositories for data collected at different hospitals on different populations with different methods. If a signal sticks around despite the heterogeneity of the samples, you can bet you’ve actually found something, according to Khatri. Continue reading
Radiation dose and breast density legislation are in the news
This week’s articles include: increasing research shows that subspecialty second opinions can be critical to patient care; some researchers are questioning the theory that radiation from diagnostic imaging can increase cancer risk; the legal consequences of EHR vendors selling data; and survey finds many radiologists uncertain about breast density legislation.
Subspecialty second opinions often critical to patient care – RSNA News
A growing body of research indicates that subspecialty second opinions can be critical to patient care. Because of this, experts say that academic radiology departments might want to consider offering formal second opinions as part of their services. Some radiology departments—including The Russell H. Morgan Department of Radiology and Radiological Science at Johns Hopkins University Medical Institution in Baltimore—have already done this. Continue reading
Can you guess the image in the X-ray?
Welcome to our June “Guess the X-ray Image Challenge!” We welcome radiologists, technologists, RAs, MDs, PAs – or anyone who thinks they’re up to the challenge – to guess the subject in this X-ray. Please leave your answer in the comment section below or on our Facebook page. The challenge will stop at the end of the month.
Congratulations to those who correctly guessed the May image challenge! The correct answer was — a gumball machine full of gumballs!
Happy guessing and good luck!
Transportable Carestream detector brings chest X-rays directly to worker sites
Exposure to fine dust containing fine particles of sand known as Respirable Crystalline Silica (RCS) can cause irreversible lung damage in the form of nodules of scar tissue which can take years to develop. Early detection of the condition is essential and a portable X-ray medical imaging device from Carestream allows us to deliver chest X-ray screening directly to workers at their place of work.
Symptoms related to advanced silicosis can include coughing and breathing difficulties. According to the Health and Safety Executive, people who have silicosis and/or have been exposed to RCS also carry a higher risk of developing other medical conditions such as lung cancer, tuberculosis, kidney disease and arthritis. Continue reading
News from SIIM17; and multi-media reports a missed opportunity
This week’s articles include: AI expected to expand today’s decision-making capabilities for imaging modalities; it’s important to educate patient’s about the role radiologists play in diagnosis; radiology reports need to include multi-media enhanced reporting; radiologists who use chest radiographs to diagnose COPD create false positive results; and a cardiovascular MR scan is a cost-effective way to scan large volumes of patients with a wide range of suspected heart conditions.
SIIM: AI poised to enhance all aspects of radiology – Auntminnie
Artificial intelligence (AI) will persistently and pervasively enhance all aspects of radiology, enabling precision medicine and potentially even finding disease before it becomes symptomatic, according to Dr. Keith Dreyer who spoke at the SIIM annual meeting. He adds that AI will expand today’s decision-making capabilities for both current and new imaging modalities, leading to greater detection and treatment of disease. Continue reading
SIIM17 presenters discuss radiology’s role in enterprise imaging and AI, and adding value
Although the titles and topics of #SIIM17 presentations varied, there was a common and clear message: the role of radiologists in imaging informatics is changing. This evolution can range from acquiring different skill sets to taking on entirely new roles including:
- adopting a leadership role in enterprise imaging that spans multiple departments;
- being more accessible to physicians and more visible to patients;
- and taking stewardship of emerging artificial intelligence applications.
Health data limits, medical exam cost comparisons, and ACR
This week’s articles include: lack of access to health data could limit potential of machine learning; radiologists can simplify reports to improve readability; an app equips patients to review prices for more than 300 imaging procedures; ACR forms interdisciplinary organization to guide implementation of AI tools in radiology; and more women join ACR leadership but rates still lag.
Could ‘Google Brain’ create technology to aid radiologists? – Radiology Business
Targeted training for radiologists to simplify report readability helps patients better understand radiology reports, according to a study. Radiologists took a one-hour workshop that emphasized writing with simple structure and brevity, using simpler words, phrases and sentence structures. A survey completed by the participants after the workshop showed that all participants believed they could change their writing styles, with 71 percent indicating their communication could be optimized for more effective communication. Continue reading
Impact of emerging technologies on radiology makes headlines
This week’s articles include: new audit shows causes of unnecessary CT and MR exams; analytics solutions expected to improve quality of care; photoacoustic imaging could guide breast cancer removal; population health management is the top driver of data analytics; and the debut of the first fully autonomous radiology interpretation system.
New audit pinpoints causes of ‘wasteful’ unnecessary scans – AuntminnieEurope
Radiologists’ failure to check the validity of requests for CT and MRI scans, along with ignorance among referring doctors of appropriateness criteria for imaging examinations, are the most important reasons for costly inappropriate requests of radiological exams, a new study from Saudi Arabia found. An audit of 674 CT and MRI scans revealed that 25% were inappropriate. Continue reading
PACS, cyber attacks, and mergers are in the news this week
Articles this week in Diagnostic Reading include: why radiology needs to define image storage guidelines; PACS alerts can boost communication with referrers; health services in the UK are recovering from last Friday’s cyber attack; hospital merger mania continues throughout the country; and registries can have real-time benefits for rads.
Why radiology – and radiologists – need defined image storage guidelines – Radiology Business
The sheer economy of storing images online should make it standard, but a maze of regulation and expensive penalties make it difficult for imaging providers to navigate the issue, according to a JACR article. Failure to maintain imaging up to state and federal standards can result in penalties up to $10,000 and place radiologists at risk of malpractice suits. If a lost or misplaced image results in patient injury, the radiologist personally bears responsibility. Continue reading
15 strategies to help minimize radiological errors in MRI, CT, and ultrasound imaging
Editor’s Note: The authors of this article received a certificate of merit at ECR 2017 in Vienna for their research.
Around 250,000 people die each year in the US because of medical errors, according to a study by researchers at John Hopkins University School of Medicine. This number is bigger than those who die from car accidents, breast cancers, or work accidents. In fact, medical error constitutes the third leading cause of death in the United States.
Radiologist Leo Henry Garland (1903 – 1966) was the pioneer in the study of radiologic error. The prevalence of radiologists’ errors does not appear to have changed since it was first estimated in 1960. Today, it remains around 10 to 15 percent . Although some diagnoses are missed because of the limitations of the imaging modality, most of them are attributable to image interpretation.
What constitutes an error?
The definition of what constitutes an error in radiologic interpretation is subject to debate. Continue reading