- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Point/counterpoint provides food for thought in nuclear medicine
One of the things a good newsmagazine should do is provide contrasting opinions on important issues. It is something we try to achieve with nearly every article we carry.
One of the things a good newsmagazine should do is provide contrasting opinions on important issues. It is something we try to achieve with nearly every article we carry.
On rare occasions, we have the opportunity to present side-by-side contrasting viewpoints on a timely topic. This month is one of those occasions.
Beginning on page 51, you'll find a point/counterpoint presentation on the future of SPECT imaging and whether it will be supplanted by PET.
Dr. Abass Alavi and Dr. Stanley Goldsmith articulate the pro (PET) and con (SPECT) positions. The articles were commissioned by DI news editor C.P. Kaiser.
The debate is an ideal one for the June issue, which traditionally has a nuclear medicine focus and is distributed at the Society of Nuclear Medicine meeting that takes place this month.
Whether you end up agreeing with Alavi that PET is already replacing SPECT in many indications and will soon take over all of them, or with Goldsmith that SPECT will play an important role in nuclear medicine for many years to come, I think you'll find the discussion enlightening from both a clinical and an economic perspective.
I think you'll also find the discussion contains useful information for both nuclear medicine physicians and the radiologists who practice nuclear medicine on a part-time basis.
John C. Hayes is editor of Diagnostic Imaging
Can Radiomics Enhance Differentiation of Intracranial Aneurysms on Computed Tomography Angiography?
September 17th 2024Radiomics models offered a pooled AUC of 86 percent for differentiating between ruptured and unruptured intracranial aneurysms, according to a recently published meta-analysis.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Study Assesses Lung CT-Based AI Models for Predicting Interstitial Lung Abnormality
September 6th 2024A machine-learning-based model demonstrated an 87 percent area under the curve and a 90 percent specificity rate for predicting interstitial lung abnormality on CT scans, according to new research.
