Study examines women's compliance to follow-up MRI recommendations | Research shows efficacy of DESI-MS in identifying thyroid nodules | aBSI shows promise in evaluating Ra-223 treatment in mCRPC patients
October 11, 2019
A daily news summary provided in collaboration with the American College of Radiology
A study in the Journal of the American College of Radiology, based on 190 women who received a Breast Imaging Reporting and Data System 3 designation following an MRI, found that 106 complied with recommended breast MRI follow-up examinations, compared with 45 who weren't compliant and 34 who delayed undergoing MRI. Greater compliance was associated with patients who had a family and personal history of breast cancer, while noncompliance was tied to higher out-of-pocket expenses.
The desorption electrospray ionization mass spectrometry imaging used to analyze 178 tissue samples of thyroid nodules from 57 patients "correctly predicted benign behavior in 6 of the 6 specimens, whereas the commercially available assay predicted 'suspicious for malignancy' in 5 of the 6," which "could have prevented the need for surgery to exclude/diagnose malignancy in all of these patients," said study author Dr. James Suliburk. The findings were published in Proceedings of the National Academy of Sciences.
Swedish researchers found that although changes between baseline and post-radium-223 treatment automated bone scan index scores and alkaline phosphatase levels had a significant association with overall survival among patients with metastatic castration resistant prostate cancer, those with reduced aBSI and alkaline phosphatase values had significantly longer median OS, compared with those with alkaline phosphatase reductions alone. The findings in the Journal of Nuclear Medicine suggest that adding aBSI to soft-tissue metastases evaluation and blood-based biomarkers may be useful in assessing mCRPC, but more studies are needed before it can be used as a Ra-223 response biomarker, researchers wrote.
Using artificial intelligence to analyze computed tomography images helps hasten ischemic stroke diagnosis and isolate large vessel occlusions, according to a systematic review published in the Journal of NeuroInterventional Surgery. Fast intervention is necessary with ischemic strokes, and "[i]maging software using artificial intelligence and machine learning ... may improve rapid frontline detection of large vessel occlusion strokes," researchers wrote.
A study in Cancer Medicine found use of statins for at least 11 months or at a defined daily dose of at least 121 milligrams, based on a dose of 20-milligram simvastatin, had a 20% reduced overall risk of prostate cancer. The findings, based on medical records for 13,065 men who visited a urologic clinic for a prostate condition, showed only lipophilic statins were significantly associated with a lower prostate cancer risk.
Twenty pediatric research projects received grants totaling $13.8 million from the Leukemia & Lymphoma Society. The projects will aim to develop more precise and effective therapies for pediatric patients with hematologic cancers.
Drs. Michael Lee, Michael Otte and Syed Zaidi were appointed to two-year terms effective Dec. 1 on the ACR's bipartisan Radiology Advocacy Alliance Political Action Committee. The ACR also announced that Dr. Amy Patel will serve an additional two-year term, and Drs. Jennifer Buckley and Teresa Martin-Carreras, both residents, were appointed to one-year terms.
HHS will change how it enforces the Physician Self-Referral Law, or the Stark Law, and will allow exceptions for health care providers in agreements meant to reduce costs and improve patient health, according to Trump administration officials. The American Hospital Association supported the changes and CEO Rick Pollack said that out-of-date regulations have "created unnecessary roadblocks to the kind of collaboration and coordination that enables caregivers to meet all of their patients' health care needs, whether in the hospital, the doctor's office or their own homes."
An experimental machine learning algorithm differentiated subtypes of pancreatic cancer from MRI images, potentially offering an alternative to invasive tissue biopsies for molecular profiling as well as enabling early and targeted treatment. The method was highly accurate and specific in identifying two groups of molecular subtypes of pancreatic ductal adenocarcinoma, researchers reported PLOS ONE.
Ohio health system Summa Health used artificial intelligence and analytics solutions to increase the number of patients with lung nodules who were identified for follow-up of incidental findings and help radiologists produce high-quality reports. The technology also helped the health system establish organizational best practices to curb overdiagnosis, allowing the multidisciplinary team to weigh "additional and potentially risky testing or procedures for conditions that may be benign and could cause harm for conditions that would not lead to morbidity or mortality if they were never detected," said Sandy Kohut, Summa Health's lead lung navigator.
You've got questions about the corporatization of radiology. What is it? How will it affect your job, your future career opportunities and your employment benefits? Get answers on Thursday, Oct. 17 at 7 p.m. ET, when a panel of leading radiologists discusses the implications of corporatization and how it could affect your future. Join the conversation.