Gastrointestinal Radiology: Page 17

CT body composition analysis helps reveal colon cancer secrets

By Erik L. Ridley

Body composition analysis on CT reveals that colon cancer patients with high visceral fat and low muscle mass are more likely to have worse outcomes, according to research published August 30 in JAMA Network Open. Inflammation also plays a key role.

August 30, 2021

CT radiomic features predict gastric cancer chemotherapy response

By Kate Madden Yee

A CT-based radiomics model helped clinicians predict response to neoadjuvant chemotherapy in patients with advanced gastric cancer, according to a study published August 19 in JAMA Network Open.

August 19, 2021

AI can assess sarcopenia on chest and abdominal CT exams

By Erik L. Ridley

An artificial intelligence (AI) algorithm worked well to assess sarcopenia -- a risk factor for future hip fractures and death -- on both chest and abdominal CT scans, according to research published August 18 in the American Journal of Roentgenology.

August 18, 2021

AI can identify hepatocellular carcinoma on liver CT exams

By Erik L. Ridley

An artificial intelligence (AI) algorithm was able to identify hepatocellular carcinoma (HCC) on liver CT exams with a level of accuracy comparable to radiologists, according to research published August 7 in the British Journal of Cancer.

August 9, 2021

PET/CT predicts survival in pancreatic cancer patients

By Will Morton

PET/CT imaging can help predict survival early after the start of chemotherapy in patients with pancreatic cancer, according to a study in the August 5 issue of the Journal of Nuclear Medicine.

August 8, 2021

3D liver segmentation detects fatty liver on cardiac CT

By Erik L. Ridley

A 3D liver segmentation method can be utilized to rapidly diagnose and measure fatty liver on cardiac CT exams, according to research presented at the annual meeting of the Society of Cardiovascular Computed Tomography.

July 25, 2021

Can body composition metrics foretell COVID-19 patient outcomes?

By Erik L. Ridley

The body composition of patients hospitalized for COVID-19 as assessed on routine abdominal CT exams could help predict adverse outcomes, according to research published online July 9 in the International Journal of Obesity.

July 12, 2021

Deep learning plus CT helps predict abdominal surgery outcomes

By Kate Madden Yee

A deep-learning model used with preoperative CT helps predict the complexity and outcomes of abdominal surgery more accurately than surgeons' judgment, according to research published July 7 in JAMA Surgery.

July 6, 2021

Short ultrasound screening intervals improve liver cancer outcomes

By Amerigo Allegretto

Ultrasound screenings with shorter intervals for high-risk patients with hepatocellular carcinoma may save more lives and improve quality of life, according to research published June 24 in JAMA Network Open.

June 23, 2021

Ultrasound can determine lung congestion in kidney patients

By Amerigo Allegretto

Ultrasound is a useful guide in determining lung congestion for hemodialysis patients at high cardiovascular risk, according to research presented on June 6 at the European Renal Association -- European Dialysis and Transplant Association virtual congress.

June 9, 2021

Novartis touts prostate cancer study results at ASCO 2021

By AuntMinnie.com staff writers

Novartis highlighted results presented at the virtual American Society of Clinical Oncology meeting that suggest lutetium-177 prostate-specific membrane antigen-617 is safe and effective for patients with PSMA-positive metastatic prostate cancer.

June 7, 2021

Model can predict risk for radiology appointment no-shows

By Erik L. Ridley

Missed appointments can impact patient care and result in a significant revenue shortfall for radiology departments. However, a machine-learning algorithm could help prevent some of these no-shows, according to researchers from the University of Maryland.

June 6, 2021

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