MRI

AI gives a boost to cardiac MRI risk prediction

By Kate Madden Yee

Accurate risk prediction for coronary heart disease helps clinicians guide patient therapy and follow-up.

June 10, 2026

C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.

SERAM 2026: Biparametric MRI cuts time and costs in prostate cancer imaging

By Claudia Tschabuschnig

A study presented at SERAM 2026 suggests that biparametric MRI (bpMRI) can reduce exam time and costs in patients with clinically significant prostate cancer.

June 8, 2026

Biparametric prostate MRI identified clinically significant Gleason 3+4 prostate cancer using T2-weighted imaging, diffusion-weighted imaging, and ADC mapping alone.

Image-guided focal laser ablation effective for prostate cancer

By Amerigo Allegretto

MRI-directed, ultrasound-guided TPLA may be a promising technique to treat prostate cancer while avoiding radical therapies.

June 3, 2026

Preablation, postablation, and recurrence multiparametric MRI scans depict a 63-year-old man treated with transperineal focal laser ablation (TPLA) for localized prostate cancer. Clinical parameters included an initial prostate-specific antigen (PSA) level of 7.2 ng/mL, a Prostate Imaging Reporting and Data System (PI-RADS) grade 4 lesion (red circles) in the right apical peripheral zone, and a maximum tumor length of 5 mm. MRI-guided targeted biopsy confirmed a Gleason score 3+4 prostate cancer tumor. (A) Pre-ablation axial T2-weighted MRI scan and apparent diffusion coefficient (ADC) image shows the apical PI-RADS 4 lesion (circles). (B) Six-month post-ablation axial T2-weighted MRI scan and ADC image show cystic necrosis (arrows). There was no evidence of recurrence; the PSA level was 1.5 ng/mL. (C) One-year after ablation, the patient’s PSA level had increased to 4.3 ng/mL. Axial T2-weighted MRI scan and the ADC image shows a recurrent lesion (blue circles) in the right apical peripheral zone adjacent to the ablation scar. Targeted biopsy confirmed Gleason score 3+4 prostate cancer, which was classified as in-field recurrence of clinically significant prostate cancer and subsequently re-treated with TPLA. In summary, serial multiplanar MRI demonstrates treatment response after TPLA with post-ablation necrosis, followed by MRI-detected IFR confirmed with biopsy at 12-month follow-up. Multiparametric MRI was performed with a 3.0-T MRI scanner (Skyra; Siemens Healthineers) using T2-weighted, diffusion-weighted, and ADC sequences, with gadobenate dimeglumine contrast material administration (Bracco Diagnostics).

Eye movement abnormalities flag brain health risk in ex-racing drivers

By Kate Madden Yee

A case series of 12 male retired professional motorsport drivers showed a high prevalence of mild neurological abnormalities.

May 29, 2026

Siemens Healthineers equips Hamburg heart center with imaging

By AuntMinnieEurope.com staff writers

The installation includes 13 angiography systems, a photon-counting CT scanner, a 3-tesla MRI system, and an x-ray imaging station.

May 28, 2026

GE HealthCare, NordicNeuroLab ink software distribution deal

By AuntMinnie.com staff writers

GE HealthCare will distribute NordicNeuroLab's nordicMEDiVA and nordicAktiva.

May 27, 2026

AI diagnostic aid helps novice MRI readers, but experts not so much

By Kate Madden Yee

The findings point to where AI decision support delivers the most clinical value.

May 26, 2026

Neurophet, Spain's VHIR to collaborate on multiple sclerosis MRI AI

By AuntMinnieEurope.com staff writers

Neurophet is working with the VHIR in Spain to develop the Neurophet Aqua MS module for brain MRI analysis.

May 26, 2026

Mri Brain Disease4 400

Hyperfine to join Russell 3000, Russell 2000 indexes in June

By AuntMinnie.com staff writers

Hyperfine is expected to join the Russell 3000 and Russell 2000 indexes in June.

May 26, 2026

Business Costs Rising Arrow Up 400

Philips unveils ultra–high-gradient 3T MRI system at ISMRM

By AuntMinnieEurope.com staff writers

Titanion MR facilitates quantitative and biologically informative imaging, according to the company.

May 11, 2026

Philips' new 3-tesla Titanion MRI system.

MRI reveals how hidden muscle fat increases risk to heart, metabolism

By Kate Madden Yee

The results suggest that MRI exams could "augment traditional risk factor screening," researchers noted.

May 5, 2026

Whole body MRI, deep-learning can 'map' distribution of fat and muscle

By Kate Madden Yee

The map shows that the quality and amount of skeletal muscle, not just visceral fat, are strong predictors of disease.

May 5, 2026

Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).

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