New Technology Makes MRIs Clearer

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A new study published in Nature Communications has demonstrated a new technology that nearly eliminates MRI image artifacts. The new technique is so effective that researchers can reliably assign numerical values to anatomical features, setting up a future where doctors can more reliably diagnose diseases for patients. Reducing MRI image distortions has been a goal in the scanning industry for decades. According to the NYU research team, the breakthrough could revolutionize how doctors use MRIs, as they will be able to utilize crystal clear imaging using more affordable equipment.

While MRIs are an integral component of many branches of medicine, the technology still relies on the qualitative analysis of an image. This limitation is due to the fact that MRIs use radio waves to illuminate tissue atoms by distorting their magnetic field. Unfortunately, the waves don’t always hit the atoms evenly or consistently between patients, causing distortions in the scan results. Doctors must account for these imperfections in every scan analysis. MRI equipment that accounts for field variations exists, but it requires meticulous calibration and longer exam times.

One key factor in the study was Magnetic resonance fingerprinting (MRF) technology. MRF decodes the interplay between atoms’ magnetic spins within a tissue, and it has only been available for the last few years. While MRF scans have greatly reduced the time it takes to complete an MRI, they have provided uniformity issues. The study utilized a new technology known as Plug-and-Play MR fingerprinting, which uses a circling strobe of many radio signals, rather than a single source of radio wave pulses. This extra data eliminates image distortions, and could change the way doctors look at MRI results.

Diagnosing Appendicitis with MRIs

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Children and young adults with right lower quadrant (RLQ) pain may benefit from an MRI diagnosis, according to a new study published in Radiology. A University of Arizona team determined the accuracy of unenhanced MR imaging for patients in the retrospective study. In all, the researchers examined imaging from 403 patients with an age range of 3-49 who experienced RLQ pain and received an MRI. The team suspected that intravenous or oral contrast methods were unnecessary with the use of an MRI diagnosis.

To learn more about MRI accuracy, the team looked at clinical records that documented MRI room time as well as prospective image interpretations. While some of the patients suffered from appendicitis, others were experiencing other types of abdominal pain. Attaining information for patient outcomes was essential for the study. The team was able to collect final results for patients with documentation including surgical results, telephone follow-ups, medical records and expert panel assessments.

Gathering patient data was important, but the results mattered most. The study revealed that the average MRI room time was 14 minutes. Among the 403 patients, 67 tested positive for acute appendicitis, while 336 had negative results. The MRIs had 97% sensitivity and 99.4% specificity. 51.5% of the patients were diagnosed with an illness other than appendicitis. This high degree of accuracy led the researchers to conclude that MRIs are an effective way to evaluate and diagnose RLQ pain.

Diagnosing Parkinson’s Disease with PET Scans

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Muhammad Ali’s recent death has people talking about Parkinson’s disease and the procedures used to diagnose the illness. PET, MRI and SPECT scans have proven useful in detecting many diseases, but Parkinson’s has been harder to spot. One of the largest contributors of Parkinson’s disease research, the Michael J. Fox Foundation, has announced that it will award a $2 million prize to researchers that develop a PET tracer that visualizes the Parkinson’s disease protein alpha-synuclein. Both academic or industry teams are eligible to participate, and the competition will run until mid-2018.

Detection of alpha-synuclein is important because it is the protein that causes cell degeneration and death in the brain. As this protein progresses, the symptoms commonly associated with Parkinson’s disease become more obvious in patients. Visualizing alpha- synuclein with a new PET tracer may allow doctors to diagnose Parkinson’s disease early, and monitor changes in the brain. The new scanning technology would also reveal how patients respond to different types of treatment. The extra data may accelerate disease research, and improve the development of new therapies.

This is not the first time the Michael J. Fox Foundation has awarded scientists for Parkinson’s research. Seven years ago, it gave nearly $2 million in grants to teams studying alpha-synuclein. This time around, the foundation hopes to develop a viable tracer that’s backed by preclinical and clinical evidence. The PET tracer must have a nonexclusive license to be eligible for the prize, so doctors around the world can use the technology once it’s developed. Muhammad Ali’s battle with Parkinson’s showed everyone how devastating the illness can be – advancing diagnostic technology is sure to turn the fight around.

Mobile App Helps Doctors Choose An Imaging Test

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For primary care practitioners, choosing the right imaging test in response to a patient’s symptoms can be difficult. Resident MD Winnie Tsao of the University at Buffalo wants to help doctors determine the appropriate test for a variety of medical situations. She developed a mobile application named Radiology Consult that provides an imaging test recommendation for a faster and more cost-effective diagnosis. In just a few taps, physicians can uncover the appropriate course of action for their patients, without the need to page through huge textbooks.

The app uses complex algorithms to identify common medical conditions, and the most relevant imaging test for each disease or injury. In addition to a recommendation, the app lists procedural preparations and a description of the advantages and drawbacks for each test. Interacting with the app is simple, as it uses straightforward language and a simple step-by-step process. It should be noted that while the app helps doctors choose an imaging test, it does not interpret results or recommend a diagnosis ­– that’s something only a skilled radiologist can do. The app was built for Apple’s App Store, but Tsao plans to create an Android version in the future.

Tsao’s app benefits doctors, patients and even health insurance providers, primarily by preventing doctors from performing unnecessary – and costly- tests. Since Radiology Consult works right at point of care, doctors cut a significant amount of time from the diagnostic process. The app has received favorable reviews, and Tsao continues to work on development during her residency. Radiology Consult has gained popularity due to its convenience and originality. Tsao discovered that practitioners wanted an easier way to choose imaging tests, so she built an effective solution from the ground up. It’s just one more tool for doctors to use, and it’s already in their pockets.

CT Scan Accuracy in Detecting Lung Cancer

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A recent study published in The Lancet Oncology journal suggests that it only takes one CT scan to eliminate the possibility of lung cancer among high-risk patients. This contradicts the current recommendation that smokers receive annual tomography screenings to detect early signs of the disease. CT scans outperform x-rays when it comes to detecting lesions, but also emit more radiation. If the results of a single CT scan show no signs of cancer, patients may be able to avoid unnecessary health care costs with a yearly screening.

To conduct the study, researchers retrospectively analyzed CT scan results from over 26,000 smokers and ex-smokers. Around 19,000 of the patients tested negative for signs of lung cancer. The team then looked at scans from the same group, conducted one year later. The incidence of lung cancer among patients who initially showed no irregularities was extremely low. The researchers concluded that the second scan may not have been necessary considering the downsides that come with frequent scanning.

One potential outcome from the study is that doctors may choose to conduct high-accuracy CT scans less frequently for lung cancer screenings. Because the study was based on retrospective analysis, more research is needed before anyone draws concrete conclusions. Additionally, the ideal interval between CT scans is still unclear. The study is sure to inspire continued research in the area of lung cancer scans.