Image Processing: Page 9

Nomogram assesses lymph node status better in early breast cancer

By Amerigo Allegretto

A nomogram based on radiomics and other ultrasound features of automated breast volume scanning (ABVS) images can more accurately access axillary lymph node status, according to a report published February 5 in Ultrasound in Medicine & Biology.

February 7, 2023

Can MRI radiomics help predict rectal cancer treatment response?

By Amerigo Allegretto

An MRI radiomics-based nomogram can outperform radiologists in predicting complete pathological response to neoadjuvant chemotherapy in locally advanced rectal cancer, a Chinese study published February 2 in Academic Radiology found.

February 7, 2023

Quantitative ultrasound data could help predict preterm births

By Amerigo Allegretto

Combining historical clinical data with quantitative ultrasound data could better identify pregnant women at risk for spontaneous preterm birth, suggest findings published February 3 in Ultrasound in Medicine & Biology.

February 6, 2023

PET/CT radiomics could help select patients for immunotherapy

By Will Morton

A PET/CT-based radiomics model appears promising for preselecting patients with non-small cell lung cancer (NSCLC) who may benefit from immunotherapy, according to a study published online January 22 in EJNMMI Research.

January 25, 2023

CT plus AI helps predict heart disease in diabetic patients

By Kate Madden Yee

Combining CT results with artificial intelligence (AI) technology helps clinicians assess diabetic patients' coronary artery disease risk, according to a study published January 23 in Cardiovascular Diabetology.

January 25, 2023

Digital chest x-ray technique improves detection of lung lesions

By Will Morton

Adding bone-suppression functions to digital chest x-ray exams can assist doctors with the detection of subtle pulmonary lesions, according to a research group in Japan.

January 19, 2023

AI model predicts cancer aggressiveness on PET

By Will Morton

A machine-learning model based on PET imaging features shows promise for helping clinicians assess the aggressiveness of endometrial cancer prior to surgery, according to a study published online January 4 in Cancers.

January 9, 2023

Rapid MRI protocol leads to reduced image acquisition times

By AuntMinnie.com staff writers

A rapid lumbar MRI protocol that uses 3D imaging and deep learning reconstruction has led to reduced imaging times, according to research published on January 5 in Skeletal Radiology.

January 5, 2023

CT radiomics show disparities in colorectal cancer treatment efficacy

By Kate Madden Yee

CT radiomics data show significant associations between race and ethnicity and treatment efficacy for metastatic colorectal cancer, according to research presented at the RSNA meeting.

December 6, 2022

Radiomic features on CT help classify ovarian cancer subtypes

By Amerigo Allegretto

Radiomic features extracted from contrast-enhanced CT can help classify subtypes of epithelial ovarian cancer, a study published December 5 in JAMA Network Open found.

December 5, 2022

Video from RSNA 2022: 4DMedical aims to help reconnect radiology, pulmonology

CHICAGO - In a video interview with AuntMinnie.com at RSNA 2022, 4DMedical Founder and CEO Andreas Fouras describes 4DMedical's new XV Scanner for lung imaging and shares his thoughts on how radiologists can reconnect with pulmonologists.

December 1, 2022

Large-scale assessment of 3D printing utilization finds time savings, varied use

By Jenny Jones

Monday, November 28 | 9:30 a.m.-10:30 a.m. | M3-SSIN02-4 | Room E350In this scientific talk, researchers will provide their detailed analysis of the RSNA-American College of Radiology (ACR) 3D Printing Registry, including a report on how 3D printing technology is saving more than 35 minutes on average in the operating room or interventional suite.

November 24, 2022

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