Eric Barnes

[email protected]

Machine-learning analysis of heart motion predicts survival

A machine-learning survival model based on 3D cardiac motion predicts outcomes beyond conventional risk factors in patients with pulmonary hypertension, according to a new study from the U.K. and Singapore. Semiautomated analysis of the cine MR images could potentially be used to guide patient management.

February 7, 2017

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AuntMinnieEurope.com Cardiac Imaging Insider

January 15, 2017

Dual-energy CT can replace MRI in myocardial sarcoidosis

Dual-energy cardiac CT can readily distinguish cardiac sarcoidosis from other kinds of cardiac hypertrophy, eliminating the need for cardiac MRI, according to researchers from southeastern Paris.

January 15, 2017

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AuntMinnieEurope.com Advanced Visualization Insider

January 11, 2017

Advanced Visualization

Deep learning boosts CT colonography outcomes

A new kind of electronic-cleansing algorithm can deliver reduced-prep CT colonography (CTC) to routine clinical practice, according to results from a multinational team of researchers. The group's technique for CTC outperformed two conventional methods, producing far fewer artifacts.

January 10, 2017

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Machine learning improves FFR-CT for coronary ischemia

In results that could potentially shake up the heart imaging status quo, a machine learning algorithm slightly outperformed a more traditional algorithm in analyzing fractional flow reserve CT (FFR-CT) studies for detecting signs of ischemic coronary lesions, according to a presentation at the recent RSNA 2016 meeting in Chicago.

January 2, 2017

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Vancouver lung cancer predictor works in NLST

A Canadian model for predicting lung cancer risk based on nodule and patient characteristics distinguished benign from malignant lung nodules in patients in the National Lung Screening Trial (NLST), according to a study presented at RSNA 2016. A second study in the same session, however, found that radiologists slightly outperformed the model.

December 25, 2016

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4 steps to high-quality 3D printing for radiology

3D printing has skyrocketed in popularity in recent years with the advent of low-cost consumer-grade printers. And 3D printing's growth in healthcare is helping to boost radiology's reputation as an essential service and the first step in creating highly useful models for surgery, implantation, and education.

December 15, 2016

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AuntMinnieEurope.com Cardiac Imaging Insider

December 7, 2016

FFR-CT cuts time, costs in patients with chest pain

Belgian researchers said they have achieved remarkable reductions in costs, radiation dose, and -- most important -- negative angiography studies by implementing fractional flow reserve CT (FFR-CT) to manage the care of patients with chest pain who have an intermediate risk of coronary disease.

December 7, 2016

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Unfilled vacancies and disparities persist in nuclear medicine

Nuclear medicine specialists have high career satisfaction, but unfilled vacancies and career disparities persist, finds a workforce survey by the European Association of Nuclear Medicine (EANM).

Dual PET imaging in Case Two illustrates a patient with discordant disease. FDG PET (b & d) shows FDG uptake in tail of pancreas primary lesion (yellow arrow), as well as multiple hepatic metastases (yellow boxes), with enlarged liver span. DOTATATE PET on left (a) shows several hepatic metastases that do not demonstrate DOTATATE uptake above background of liver parenchyma. The liver lesions in (c) demonstrate moderate FDG uptake in liver lesions, with no corresponding DOTATATE avidity (white box) or central photopenia (white arrow). This discordance in dual PET imaging corresponds to a NETPET score of 5. This suggests de-differentiated disease and a less favorable prognosis. The patient was not suitable for Lutate treatment and received chemotherapy.

PET develops key clinical role in neuroendocrine tumors

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PET/CT visualizes complications in patients on hemodialysis

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All roads lead to outsourcing

Example of prostate zonal segmentation by the AI software in a patient. Yellow: transition zone; green: peripheral zone; red, anterior fibromuscular stroma; blue, central zone.

Zonal segmentation with AI shows promise in prostate cancer

Teleradiology at an inflection point: Growth potential amid market rivalry

By Amy Thompson

Market analyst Amy Thompson of Signify Research discusses recent trends in the teleradiology sector.

January 19, 2026

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Attention turns to value of AI updates in breast screening

By Maryam Payne

A research group from Oslo has found that the net clinical benefit of using updated versions of AI in breast screening remains unknown.

January 19, 2026

Left craniocaudal and mediolateral oblique mammograms in a 53-year-old woman with an invasive 4-mm histologic grade 1 screen-detected cancer. The exam-level AI score for v1.7 was 5 and 10 for v2.1 (increased AI score). The red circles mark the location of the tumor.

How can radiology protect patients’ rights in era of AI?

By Maryam Payne

Radiologists must ensure that AI does not impede the rights of patients, a legal expert notes in a commentary published on 13 January by European Radiology.

January 16, 2026

Better CT reporting can boost care in pancreatic cancer

CT reporting often contributes to inconsistencies in pancreatic cancer staging and resectability assessment, but synoptic reporting with standardized templates may provide a solution.

January 15, 2026

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Dutch team focuses on AI use for C-spine fractures

By Maryam Payne

Introducing an AI algorithm for cervical spine (C-spine) fractures resulted in more fractures being detected, but with a slight increase in total costs due to increased accuracy.

January 14, 2026

Ct Scan Tech Adobe Stock By Peak Stock

Theranostic pair ready for testing in lung cancer

Researchers in Denmark have laid the groundwork for testing a new theranostic pair in patients with neuroendocrine lung tumors

January 13, 2026

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Coroner investigates critical 4-day CT scan delay

A U.K. coroner has reported that delayed access to CT may have contributed to a patient death.

January 13, 2026

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International team pinpoints causes of missed breast cancers

By Maryam Payne

The key factors that contribute to diagnostic errors in mammography have come under close scrutiny. The authors present a series of insightful clinical cases.

January 12, 2026

(a) Mediolateral oblique and craniocaudal screening mammograms in a 52-year-old woman demonstrated an isodense focal asymmetry in the lower inner right breast, projected over the retromammary fat (red arrows). This finding was not reported by the first reader, likely due to its location at the periphery of the image, and was reported by the second reader. Assessment with ultrasound (not shown) was unremarkable. (b) Breast MRI was subsequently performed, and the axial maximum intensity projection image revealed an irregular enhancing mass in the lower right breast, corresponding to the mammographic asymmetry (yellow arrows). Axial image obtained during MRI-guided biopsy, which revealed histopathology of grade 2 invasive lobular carcinoma.

The intractable problem of the low incidence scan

By Dr. Paul McCoubrie

Faced with a low-incidence but serious condition, clinicians and radiologists must discuss the case and experienced doctors should assess the patient before a scan, says Dr. Paul McCoubrie.

January 12, 2026

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What are Pluvicto discontinuation rates in a real-world setting?

Men with severe prostate cancer discontinue Pluvicto treatment in a real-world setting at rates that far exceed those seen in clinical trials, a new study has found.

January 9, 2026

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LLMs help automate PI-RADS classification from MRI reports

By Kate Madden Yee

Large language models (LLMs) show promise for automating PI-RADS classifications of prostate lesions from MRI report data.

January 9, 2026

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CEM is a reliable tool for evaluating screening recalls

By Amerigo Allegretto

Italian researchers have shown that contrast-enhanced mammography (CEM) can accurately evaluate recalled screening mammograms.

January 8, 2026

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