https://www.auntminnie.com/clinical-news/molecular-imaging/article/15827350/early-fapipet-scan-matches-60minute-scans-for-lung-cancer-stagingAuntMinnieen2026-06-10T18:46:25.000ZEarly FAPI-PET scans match 60-minute scans for lung cancer staginghttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/fapi-lung.bVNNzbr85L.jpg?auto=format%252Ccompress&q=70PET/CT images performed at 10- and 60-minutes following injection of Ga-68 FAPI-46 (mean 181 MBq; range 143–225 MBq).https://www.auntminnie.com/resources/conference/siim/2026/article/15827318/siim-llms-have-tradeoffs-in-energy-use-for-imaging-tasksAuntMinnieen2026-06-10T16:13:30.000ZSIIM: LLMs have tradeoffs in energy use for imaging taskshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6992.2zmSJSjAHg.jpg?auto=format%252Ccompress&q=70Dharmam Savani presents his team's findings at SIIM 2026 showing that reasoning LLMs may not meaningfully improve radiology report labeling over standard LLMs, but do use more energy.https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956fjvq1mbuvl.F3LY7Mc01y.avif?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/mri/article/15827317/machinelearning-bests-cox-regression-for-cardiac-mri-risk-predictionAuntMinnieen2026-06-10T16:07:07.000ZAI gives a boost to cardiac MRI risk predictionhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/figure-2.txmF40q2Hk.png?auto=format%252Ccompress&q=70C-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.https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15827264/philips-philips-future-health-index-quantifies-benefits-of-ai-in-healthcareAuntMinnieen2026-06-10T15:13:18.000ZPhilips Future Health Index quantifies benefits of AI in healthcarehttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/future-health-index-logo-png.D0CbLsGuys.png?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/ultrasound/article/15827217/msk-ai-tool-for-ultrasound-shows-promise-for-assisting-novice-imagersAuntMinnieen2026-06-09T19:27:34.000ZMSK AI tool for ultrasound shows promise for assisting novice imagershttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/tang-et-al-06-09-2026-us-radiol251268-fig4.MA3qm2AaI8.jpg?auto=format%252Ccompress&q=70AI-acquired standardized planes. Example ultrasound images acquired in clinical settings with the on-cart, AI-based software, illustrating automated acquisition and anatomic annotation of three standard planes: <strong>(A)</strong> S5 dorsal longitudinal plane of the wrist joint, <strong>(B)</strong> S11 transverse section of the proximal carpal tunnel, and <strong>(C)</strong> S14 transverse section of the second and third flexor tendons. A1 = trochlea A1, Cap = capitate, C-M.JS = recess of the capitate-metacarpal joint, D&Ss = flexor digitorum profundus and superficialis tendons, FCR = flexor carpi radialis tendon, FD = flexor digitorum tendon, FPL = flexor pollicis longus tendon, L-C.JS = recess of the lunate-capitate joint, Lun = lunate, MN = median nerve, Pis = pisiform, Rad = radius, R-C.JS = recess of the radiocarpal joint, Sca = scaphoid, UA = ulnar artery, UN = ulnar nerve, 3rd Met = third metacarpal.https://www.auntminnie.com/practice-management/careers/imaging-leaders/article/15827225/bayer-ag-bayer-taps-new-president-of-radiology-businessAuntMinnieen2026-06-09T18:33:25.000ZBayer taps new president of radiology businesshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/reinhard-josh.QD4L9aETeq.jpg?auto=format%252Ccompress&q=70Jost Reinhardhttps://www.auntminnie.com/clinical-news/mri/article/15827219/fmri-reveals-postmenopausal-brain-connectivity-shifts-in-midlife-womenAuntMinnieen2026-06-09T18:24:25.000ZfMRI reveals postmenopausal brain connectivity shifts in midlife womenhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/canvas.fKd3OF29Ul.png?auto=format%252Ccompress&q=70Network-level analysis comparing functional association strength between ROIs of pre- and postmenopausal groups. Lower levels of connectivity were identified among one cluster (F<sub>3,106</sub> = 8.84, P<sub>uncorrected</sub> < 0.001, P<sub>FDR</sub> = 0.012) in the postmenopausal group, which included the right supramarginal gyrus anterior division, right planum temporale, and right Heschl’s gyrus, among others. FDR, false discovery rate; ROI, region of interest.https://www.auntminnie.com/clinical-news/ct/article/15827194/air-pollution-tied-to-worse-coronary-disease-on-ct-especially-in-womenAuntMinnieen2026-06-09T16:50:54.000ZAir pollution tied to worse coronary disease on CT, especially in womenhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/hanneman.r6SMLzkezo.png?auto=format%252Ccompress&q=70Axial images from unenhanced calcium score cardiac CT (left) and curved planar reformation images from CT angiography (right) show that higher long-term exposure to air pollution is associated with greater coronary artery calcium and more obstructive coronary artery disease (CAD). Top row: Images in a 68-year-old male patient with higher 10-year mean ambient air pollution exposure (7.9 μg/m<sup>3</sup> for particulate matter measuring ≤2.5 μm in diameter [PM2.5] and 17.4 parts per billion [ppb] for NO2) with extensive CAD (coronary artery calcium score [CACS] >1,000 and obstructive CAD [≥70% diameter stenosis]). Bottom row: Images in a 57-year-old female patient with lower 10-year mean ambient air pollution exposure (6.3 μg/m<sup>3</sup> for PM2.5 and 4.6 ppb for NO2) with no CAD (CACS = 0 and no obstructive stenosis).https://www.auntminnie.com/resources/conference/siim/2026/article/15827177/siim-quality-management-needed-for-successful-use-of-imaging-aiAuntMinnieen2026-06-09T15:33:01.000ZSIIM: Quality management needed for successful use of imaging AIhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956.fjvQ1mbuvL.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/womens-imaging/article/15827103/ai-may-provide-early-breast-cancer-alerts-from-mammogramsAuntMinnieen2026-06-09T14:00:00.000ZAI may provide early breast cancer alerts from mammogramshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/2026-06-09-radiology-ai-mammograms.zCKx3Ga5n2.png?auto=format%252Ccompress&q=70Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal<br>(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 (*).https://www.auntminnie.com/practice-management/administration/article/15827084/radiology-job-market-report-casts-doubt-on-us-radiologist-shortageAuntMinnieen2026-06-08T19:28:34.000ZRadiology job market report casts doubt on U.S. radiologist shortagehttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/career-jobs-adobestock-468964741-alex.l0bM22aYa1.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/digital-x-ray/article/15827076/xray-score-linked-to-hip-fracture-risk-in-the-elderlyAuntMinnieen2026-06-08T19:21:48.000ZX-ray score linked to hip fracture risk in the elderlyhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/aac-lumbar-x-ray.DxMG184rNK.jpg?auto=format%252Ccompress&q=70Abdominal aortic calcification (AAC) score grading: 0 - no calcific deposits in front of the vertebrae; 1 - small scattered calcific deposits filling less than 1/3 of the longitudinal wall of the aorta; 2 - 1/3-2/3 of the wall calcified; 3 - 2/3 or more of the wall calcified.https://www.auntminnie.com/clinical-news/womens-imaging/article/15827073/most-women-with-bacs-have-no-mace-historyAuntMinnieen2026-06-08T18:15:56.000ZMost women with BACs have no MACE historyhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/mammography-breast-ipad-patient-400-1.czWrsP71lG.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/editors-note/article/15826942/week-in-review-conference-extravaganza-snmmis-image-of-the-year-jeremie-calais-on-theranosticsAuntMinnieen2026-06-06T06:00:00.000ZWeek in Review: Conference extravaganza | SNMMI's Image of the Year | Jeremie Calais on theranosticshttps://www.auntminnie.com/clinical-news/digital-x-ray/article/15826974/most-dcis-sizes-are-either-over-or-underestimated-on-xrayAuntMinnieen2026-06-05T18:56:50.000ZMost DCIS sizes are either over- or underestimated on x-rayhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/mammography-tech-woman-social.Za6siDVFUM.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/molecular-imaging/nuclear-medicine/article/15826970/what-side-effects-do-patients-report-24-hours-after-rptAuntMinnieen2026-06-05T18:29:17.000ZWhat side effects do patients report after Pluvicto therapy?https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/pluvicto-symptoms.TUoWrWNeRH.jpg?auto=format%252Ccompress&q=70Post-Pluvicto SPECT/CT with axial fused images of sacrum and sagittal maximum intensity projection of one of the patients who complained of increasing pain in the sacral region (arrows) post therapy.https://www.auntminnie.com/clinical-news/molecular-imaging/article/15826955/brain-spect-offers-insight-into-suicide-riskAuntMinnieen2026-06-05T16:57:21.000ZBrain SPECT offers insight into suicide riskhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/suicide.uklOv8tODA.png?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/molecular-imaging/nuclear-medicine/article/15826840/snmmi-showcast-roundupAuntMinnieen2026-06-05T07:00:00.000ZSNMMI ShowCast Rounduphttps://www.auntminnie.com/clinical-news/molecular-imaging/article/15826877/pet-reveals-brain-receptor-deficits-in-schizophreniaAuntMinnieen2026-06-04T19:34:55.000ZPET reveals brain receptor deficits in schizophreniahttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/aibrain.U0FObJkGzF.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/mri/article/15826861/mri-finds-perfusion-defects-across-a-range-of-lung-impairmentsAuntMinnieen2026-06-04T18:53:45.000ZMRI finds perfusion defects across a range of lung impairmentshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/image.FN8LUuELkS.png?auto=format%252Ccompress&q=70Caption: Representative images show emphysema and functional lung maps derived by CT and PREFUL-MRI: (A–C) CT-derived emphysema images, (D–F) perfusion maps, (G–I) regional ventilation maps, (J–L) flow-volume loop correlation metric maps, (M–O) ventilation/perfusion combined parameter maps. (A, D, G, J, M) Images in a 63-year-old male with normal spirometry: FEV1%pred = 89.0%, FEV1/FVC = 0.73; emphysema percentage = 0.2%, QDP = 7%, VDPRVent = 2%, VDPFVL-CM = 1%. (B, E, H, K, N) Images in a 65-year-old female with PRISm + RP: FEV1%pred = 71.2%, FVC %pred = 76.8%, FEV1/FVC = 0.76; emphysema percentage = 4.7%, QDP = 10%, VD-PRVent = 18%, VDPFVL-CM = 6%. (C, F, I, L, O) Images in a 57-year-old male with AO: FEV1%pred = 56.8%, FEV1/FVC = 0.52; emphysema = 11.1%, QDP = 31%, VDPRVent = 33%, VDPFVL-CM = 41%. AO = airflow obstruction, FEV1 = forced expiratory volume in 1 second, FVC = forced vital capacity, FVL-CM = flow-volume loop correlation metric, %pred = percent predicted, PREFUL = phase-resolved function lung, PRISm = preserved ratio impaired spirometry, QDP = perfusion defect percentage, RVent = regional ventilation, VDP = ventilation defect percentage.https://www.auntminnie.com/clinical-news/ct/article/15826832/ai-detects-lung-cancer-nodules-well-but-shows-low-specificityAuntMinnieen2026-06-04T18:05:43.000ZAI detects lung cancer nodules well but shows low specificityhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/am2020-06-26-16-29-2945-cancer-lung-400.0A9jJPFaPl.avif?auto=format%252Ccompress&q=70