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Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast. The description below each mammogram indicates whether AI scores from three AI-based computer-aided detection systems (AI-1, AI-2, and AI-3) were above or below the 90th percentile. (A) Mammograms from three screening time points (in 2009, 2011, and 2014) in an individual who was diagnosed in February 2014 (at age 73 years) with a left-sided 25-mm grade 2 invasive breast carcinoma, no special type (arrow). Mammographic breast density was classified as BI-RADS B on all three mammograms. (B) Mammograms from four screening time points (in 2009, 2011, 2013, and 2015) in an individual who was diagnosed in October 2015 (at age 65 years) with a left-sided 45-mm grade 2 lobular carcinoma (arrow). Mammographic breast density was classified as BI-RADS C on all four mammograms. Screen-detected cancers were defined as those diagnosed within 90 days for individuals who were recalled at screening (*).

AI may provide early breast cancer alerts from mammograms

Commercial AI systems could provide early alerts for breast cancer by picking out early signs of the disease on mammograms.

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2026 06 08 Tattoos Homepage Image

Tattoo pigments can have significant impact on imaging

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

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

An AI system highlights multiple abnormalities on a chest radiograph, including a pulmonary nodule (nódulo pulmonar), pleural effusion (derrame pleural), and alveolar syndrome/consolidation (síndrome alveolar).

SERAM 2026: AI chest triage cuts referrals without raising CT use

June 4, 2026

AI for CT & PET/CT Imaging

AI for CT & PET/CT Imaging

June 4, 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).

Image-guided focal laser ablation effective for prostate cancer

June 3, 2026

Gioele Gatto/Pexels

Spain's radiology society warns CT renewal still far short despite new procurement drive

June 3, 2026

Check out our Cases of the Week!

60-year-old man with lesion on carcinoma follow-up

A 60-year-old man presented for follow-up imaging at an outpatient imaging center. He had recently been diagnosed with tongue squamous cell carcinoma.

34-year-old man with anomaly on cardiac CT

39-year-old man with orbital proptosis, possible orbital mass

Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast. The description below each mammogram indicates whether AI scores from three AI-based computer-aided detection systems (AI-1, AI-2, and AI-3) were above or below the 90th percentile. (A) Mammograms from three screening time points (in 2009, 2011, and 2014) in an individual who was diagnosed in February 2014 (at age 73 years) with a left-sided 25-mm grade 2 invasive breast carcinoma, no special type (arrow). Mammographic breast density was classified as BI-RADS B on all three mammograms. (B) Mammograms from four screening time points (in 2009, 2011, 2013, and 2015) in an individual who was diagnosed in October 2015 (at age 65 years) with a left-sided 45-mm grade 2 lobular carcinoma (arrow). Mammographic breast density was classified as BI-RADS C on all four mammograms. Screen-detected cancers were defined as those diagnosed within 90 days for individuals who were recalled at screening (*).

AI may provide early breast cancer alerts from mammograms

Tattoo pigments can have significant impact on imaging

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

SERAM 2026: AI chest triage cuts referrals without raising CT use

AI detects lung cancer nodules well but shows low specificity

Grad-CAM heatmaps showing the AI model's areas of attention overlaid on standard mammography views, as displayed to radiologists during the XAI-assisted reading sessions.

AI can mislead radiologists -- and make the error more persuasive

SERAM 2026: AI-assisted triage in deep neck infections

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

RöKo 2026: Nikolaou on AI policy, data gaps, and a prostate cancer paradox

AI model predicts 10-year breast cancer risk

Waiting Room Seniors Masks 400

1.92M patients waiting for NHS diagnostic tests in England

SCCT, SCAI publish fractional flow reserve in CCTA guideline

Royal Philips, WellSpan Health announce seven-year imaging alliance

QT Imaging secures clearance for CT scanner in Saudi Arabia

Curium to invest €32M in French radiopharmaceutical facility

1.92M patients waiting for NHS diagnostic tests in England

By AuntMinnieEurope.com staff writers

The waiting list has grown by 500,000 since 2022, according to health technology firm Magentus.

June 8, 2026

Waiting Room Seniors Masks 400

SCCT, SCAI publish fractional flow reserve in CCTA guideline

By AuntMinnie.com staff writers

The document was crafted by a team from King's College London in the U.K.

June 8, 2026

Royal Philips, WellSpan Health announce seven-year imaging alliance

By AuntMinnie.com staff writers

Royal Philips and WellSpan Health have entered a strategic alliance to bring new imaging products to WellSpan's health system.

June 4, 2026

WellSpan New York Hospital

QT Imaging secures clearance for CT scanner in Saudi Arabia

By AuntMinnie.com staff writers

The company has now secured regulatory clearance in both Saudi Arabia and the United Arab Emirates.

June 3, 2026

AI can mislead radiologists -- and make the error more persuasive

By Claudia Tschabuschnig

A study from Milan puts hard numbers on how often radiologists follow a wrong AI recommendation and whether explainable AI can help.

June 2, 2026

Grad-CAM heatmaps showing the AI model's areas of attention overlaid on standard mammography views, as displayed to radiologists during the XAI-assisted reading sessions.

Curium to invest €32M in French radiopharmaceutical facility

By AuntMinnieEurope.com staff writers

The investment will go toward development of a new production line for lutetium-177 PSMA-I&T, a targeted radioligand therapy.

June 1, 2026

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4DMedical acquires contextflow to expand into European lung imaging

By AuntMinnie.com staff writers

4DMedical is entering the European market with its acquisition of contextflow.

June 1, 2026

Lung Technology Medicine 400

SERAM 2026: AI-assisted triage in deep neck infections

By Claudia Tschabuschnig

AI models trained on CT and laboratory data showed promise for predicting ICU admission, surgery and tracheostomy in patients with deep neck infections.

June 1, 2026

Valencia became the center of Spanish radiology from 20–23 May as the city hosted SERAM 2026, one of the country's largest medical imaging meetings.

SNMMI: SPECT/CT tracer shows promise in interstitial lung disease

Differentiating between fibrotic scarring and inflammation stages of disease is critical so that physicians can determine what treatment is best for the patient.

May 31, 2026

Sample images from each participant group: A: CT only; B: fused Tc-99m maraciclatide SPECT/CT.

SNMMI: Machine-learning model predicts RPT dose

Dosimetry plays a central role in optimizing lutetium-177 (Lu-177) PSMA therapy, yet calculating it currently depends on post-therapy imaging.

May 30, 2026

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

Video from RöKo 2026: Beckelmann on workforce reform, leadership, and radiology supply

By Claudia Tschabuschnig

Bettina Beckelmann discussed workforce reform, leadership, and radiology supply in a video interview at RöKo 2026.

May 29, 2026

Bettina Beckelmann, Managing Director of Beckelmann GmbH, a Dortmund-based family-owned radiology supplies company.