At a time when many radiologists are still trying to determine the best way to integrate 3D postprocessing into their workflow, it’s no surprise that they want the best of both worlds. Most radiologists want to perform their own image processing in addition to using the services of a dedicated 3D imaging lab, according to research presented Sunday at the RSNA meeting.
At a time when many radiologists are still trying to determine the best way to integrate 3D postprocessing into their workflow, it's no surprise that they want the best of both worlds. Most radiologists want to perform their own image processing in addition to using the services of a dedicated 3D imaging lab, according to research presented Sunday at the RSNA meeting.
In an overview of the issues involved with 3D postprocessing and workflow integration, Dennis Lau, an engineer with GE Healthcare, outlined four paradigms:
For the survey, conducted in collaboration with GE Healthcare, Stanford researchers sought to determine the effects of 3D imaging on workflow and radiologist experience. There were 15 responses to the survey.
The survey indicated that use of 3D imaging improved interpretation efficiency for most respondents, especially when using coronal/sagittal reformations. They also found that for curved planar reformation and volume rendering, sufficient expertise is necessary to reduce interpretation time.
Independent of reader expertise, respondents reported using coronal/sagittal reformations more frequently than any other 3D postprocessing technique.
Survey results indicated that between 1% and 10% of respondents felt the need for additional images to be postprocessed, above and beyond what they already received from a 3D imaging lab.
"A lot of the radiologists were performing their own postprocessing and not just counting on 3D labs," said Denny Lau, an engineer with GE Healthcare.
Performing their own postprocessing allowed radiologists to conduct just-in-time decision making, increased availability of image processing tools, and allowed users to further explore imaging data as needed, Lau said.
Most survey respondents reported that integrated 3D/PACS can be useful in explaining findings to referring physicians.
The next step for researchers, according to Lau, is to extend such a survey beyond Stanford and to look at 3D image use in community hospitals and clinics.
AI Facilitates Nearly 83 Percent Improvement in Turnaround Time for Fracture X-Rays
December 19th 2023In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Can an Emerging PET Radiotracer Enhance Detection of Prostate Cancer Recurrence?
December 14th 2023The use of 68Ga-RM2 PET/MRI demonstrated a 35 percent higher sensitivity rate than MRI alone for the diagnosis of biochemical recurrence of prostate cancer, according to research recently presented at the Radiological Society of North America (RSNA) conference.
RSNA 2020: Addressing Healthcare Disparities and Access to Care
December 4th 2020Rich Heller, M.D., with Radiology Partners, and Lucy Spalluto, M.D., with Vanderbilt University School of Medicine, discuss the highlights of their RSNA 2020 session on health disparities, focusing on the underlying factors and challenges radiologists face to providing greater access to care.
Can AI Improve Detection of Extraprostatic Extension on MRI?
December 4th 2023Utilizing a deep learning-based AI algorithm to differentiate between diagnostic and non-diagnostic quality of prostate MRI facilitated a 10 percent higher specificity rate for diagnosing extraprostatic extension on multiparametric MRI, according to research presented at the recent RSNA conference.
Study: Regular Mammography Screening Reduces Breast Cancer Mortality Risk by More than 70 Percent
November 30th 2023Consistent adherence to the five most recent mammography screenings prior to a breast cancer diagnosis reduced breast cancer death risk by 72 percent in comparison to women who did not have the mammography screening, according to new research findings presented at the annual Radiological Society of North America (RSNA) conference.