CT

Machine learning can predict immunotherapy response in NSCLC patients
By Kate Madden Yee
Machine learning (ML) can help clinicians predict immunotherapy response in patients with inoperable non-small cell lung cancer (NSCLC).
January 17, 2025
Lung Ct Images
ML model using CCTA, MRI data predicts MACE in cardiac patients
By Amerigo Allegretto
A machine-learning (ML) model that includes both CCTA and stress cardiac MRI data can accurately predict major adverse cardiovascular events (MACE).
January 14, 2025
Heart Valves 3 D Base Thumbnail
CT body composition data prove useful for diagnosing metastatic NSCLC
By Kate Madden Yee
Body composition data from routine CT imaging helps clinicians diagnose, develop treatment, and predict outcomes of metastatic non-small cell lung cancer (mNSCLC).
January 8, 2025
Fat Tissue Adipocytes
The challenges of dysrhythmic radiologists
By Paul McCoubrie, MBBS
In a new column, Paul McCoubrie, MBBS, discusses the characteristics of "dysrhythmic" radiologists.
January 3, 2025
Paul McCoubrie, MBBS.
PSMA-PET/CT bests conventional imaging for prostate cancer diagnosis
By Kate Madden Yee
PSMA-PET/CT bests conventional imaging when it comes to identifying high-risk, nonmetastatic, hormone-sensitive prostate cancer, researchers say.
January 3, 2025
Prostate Cancer
Deep-learning model plus CT predicts liver decompensation in PSC patients
By Amerigo Allegretto
A deep-learning model applied to CT imaging can predict liver decompensation in patients with primary sclerosing cholangitis (PSC).
December 23, 2024
Researchers have developed a CT-based deep-learning model for predicting liver decompensation in PSC patients. Pictured is the team's diagram of the pipeline it developed for distinguishing between decompensation and no decompensation is presented in various planes. Image courtesy of Yashbir Singh, PhD.
AI improves diagnosis of acute PE, and thus patient care
By Kate Madden Yee
Using an AI-based prioritization algorithm with CTPA to diagnose acute pulmonary embolism could enhance patient care by getting imaging results to clinicians more quickly.
December 23, 2024
Am 2022 06 09 21 09 4701 Pulmonary Embolism Illustration V2 400
Measuring fatty tissue on chest CT predicts esophageal cancer outcomes
By Kate Madden Yee
Measuring visceral adipose tissue volume on unenhanced chest CT may be a useful prognostic factor in patients with esophageal cancer.
December 13, 2024
Fat Tissue Adipocytes
AI model used with one-inhale CT helps diagnose COPD
By Kate Madden Yee
A convolutional neural network used with a one-inhalation lung CT scan protocol can diagnose and stage chronic obstructive pulmonary disease (COPD).
December 12, 2024
Heart Pulmonary Trunk
Clinical decision support boosts PE diagnostic yield on CTPA
By Kate Madden Yee
Point-of-order clinical decision support improves CT pulmonary angiogram (CTPA) yield of pulmonary embolism (PE) diagnosis, researchers report.
December 11, 2024
Am 2022 06 09 21 09 4701 Pulmonary Embolism Illustration V2 400
CT-defined CAC predicts cardiovascular events in lung cancer patients
By Kate Madden Yee
CT-defined coronary artery calcification (CAC) scores can help predict the occurrence of conditions such as heart attack or stroke in lung cancer patients.
November 20, 2024
Heart Pulmonary Trunk
Head CT offers insight into old strokes
By Kate Madden Yee
Incidental discovery of old strokes on head CT imaging offers clinicians an opportunity to put measures against future strokes into place.
November 19, 2024
Brain Stroke
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