Feature | February 26, 2013

Latest Version of ACR Appropriateness Criteria Now Available

February 26, 2013 — New and updated evidence-based guidelines to help healthcare providers choose the most appropriate medical imaging exam or radiation therapy for a patient’s clinical condition are now available via the latest version of the American College of Radiology appropriateness criteria. These continually updated criteria are a national standard developed by expert panels of physicians from many different medical specialties.

In the latest version, the ACR updated 23 appropriateness criteria topics and added four new criteria — pulmonary hypertension; renal transplant dysfunction; management of locoregionally advanced squamous cell carcinoma of the vulva; and treatment of Stage I T1 glottic cancer. ACR appropriateness criteria guide physicians when ordering exams and help ensure that patients get the right scan or therapy for the right indication. The criteria have also been shown to improve quality, reduce unnecessary exams and lower costs. 

“Choosing the most appropriate radiation therapy strategy is essential to the effective and safe treatment of many cancer patients. Use of ACR appropriateness criteria can aid physicians in doing so by providing the latest evidence-based approach for a wide variety of radiotherapy issues,” said Benjamin Movsas, M.D., FACR, chair of the ACR Committee on Radiation Oncology Appropriateness Criteria.

ACR appropriateness criteria provide a tool for more effective clinical decision making to help ensure that imaging is neither over nor underutilized. The guidelines are developed by expert panels in diagnostic imaging, interventional radiology and radiation oncology. Each panel includes leaders in radiology and other specialties. Currently, there are 186 topics with over 900 variants available.

“ACR appropriateness criteria are the most comprehensive evidence-based guidelines available for selection of diagnostic imaging and image-guided interventional procedures. Not only do these guidelines aid referring physicians and other providers in choosing the most appropriate diagnostic imaging and interventional procedures for a wide variety of clinical conditions, they can reduce unnecessary patient and population exposure to radiation, a growing concern of many Americans. I urge every provider to familiarize themselves with these guidelines before making a diagnostic imaging or image-guided interventional treatment decision,” said E. Kent Yucel, M.D., FACR, chair of the ACR Committee on Diagnostic Imaging and Interventional Radiology Appropriateness Criteria.

For more information: acr.org/Quality-Safety/Appropriateness-Criteria

 

 

Related Content

Video Plus Brochure Helps Patients Make Lung Cancer Scan Decision

Image courtesy of the American Thoracic Society

News | Lung Cancer | April 19, 2019
A short video describing the potential benefits and risks of low-dose computed tomography (CT) screening for lung...
FDA Clears GE's Deep Learning Image Reconstruction Engine
Technology | Computed Tomography (CT) | April 19, 2019
GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image...
In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr

Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
Videos | Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org

Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration.
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
compressed breast during mammography.
360 Photos | 360 View Photos | April 16, 2019
A 360 view of a simulated breast compression for a...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
This image depicts ABUS images with QVCAD results

This image depicts ABUS images with QVCAD results.

Feature | Breast Imaging | April 12, 2019
Imaging Technology News spoke with Bob Foley, vice president of sales and marketing of QView Medical, Inc.,