<?xml version="1.0" encoding="utf-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd http://www.google.com/schemas/sitemap-news/0.9 http://www.google.com/schemas/sitemap-news/0.9/sitemap-news.xsd"><url><loc>https://www.auntminnie.com/clinical-news/womens-imaging/article/15823671/ctbased-nomogram-aids-in-managing-advanced-ovarian-cancer</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-29T19:25:08.000Z</news:publication_date><news:title>CT-based nomogram aids in managing advanced ovarian cancer</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/2026-04-29-ct-ovarian-nomogram.1bC2BbIAc7.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Calculation of radiological peritoneal cancer index (rPCI) adapted from Sugarbaker et al (1). (a) Coronal CT showing regions 0–8. Vertical lines are drawn along the right and left midclavicular line and the horizontal lines along the costal margin and the iliac crests. (b) Coronal CT showing regions 9 to 12. The vertical and the horizontal lines are through the umbilicus divide the small bowel and mesentery into proximal and distal jejunal and ileal regions. Images are republished under a Creative Commons license (CC BY 4.0).</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/ct/article/15823650/4-ct-signs-help-predict-ischemia-in-small-bowel-obstruction</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-29T18:11:10.000Z</news:publication_date><news:title>4 CT signs help predict ischemia in small bowel obstruction</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/inflammatory-bowel-crohns.EC6UTn1MFV.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/molecular-imaging/article/15823563/lu177-psmaspectct-predicts-survival-in-mcrpc</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-29T16:10:32.000Z</news:publication_date><news:title>Lu-177 PSMA-SPECT/CT predicts survival in mCRPC</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/spect-ct-pluvicto.nMCNwyquH1.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Quantification of total tumor volume (TTV) at lutetium-177 prostate-specific membrane antigen (PSMA)–617 SPECT/CT shows heterogeneous TTV responses between dose 1 (Cycle #1) and dose 2 (Cycle #2) in participants with metastatic castration-resistant prostate cancer. Posttherapy coronal attenuation-corrected noncontrast SPECT/CT maximum intensity projection images demonstrate (A) near-complete response in a 76-year-old man, (B) complete response in an 83-year-old man, (C) partial TTV reduction (not complete response) in a 69-year-old man, and (D) TTV increase (i.e. progressive disease) in a 74-year-old man. Blue-shaded regions represent semiautomatically segmented PSMA-avid tumor volume, with associated TTV values given at the bottom of each panel. The gradient bar shows standardized uptake value (SUV) from 0 to 5.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/ct/article/15823469/ai-algorithm-beats-radiologists-at-spotting-early-pancreatic-cancer</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-28T22:30:00.000Z</news:publication_date><news:title>AI algorithm shines in spotting early pancreatic cancer</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/pancreas-new.cAfFcMMQJz.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/mri/article/15823554/functional-mri-predicts-ctdild-progression-better-than-standard-tests</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-28T21:12:20.000Z</news:publication_date><news:title>Functional MRI predicts CTD-ILD progression better than standard tests</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/lung-illustration-blue.v7uYTABCQu.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/editors-note/article/15823549/auntminniecom-molecular-imaging-insider</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-28T20:59:28.000Z</news:publication_date><news:title>AuntMinnie.com Molecular Imaging Insider</news:title></news:news></url><url><loc>https://www.auntminnie.com/clinical-news/molecular-imaging/article/15823505/pet-improves-treatment-planning-for-pituitary-tumors</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-28T19:05:43.000Z</news:publication_date><news:title>PET improves treatment planning for pituitary tumors</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/pituitary-tumor.QGsEnyB4bU.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>A 53-year-old patient (patient number four) with a recurrent pituitary adenoma with extension of a cystic component of disease to the medial temporal lobe apparent on MRI (contoured in blue), and extension of disease to the left sphenoid bone and orbital apex apparent on [68Ga]Ga-DOTA-TATE (contoured in yellow).</image:caption></image:image></url><url><loc>https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15823246/rad-ai-replacing-radiologists-doesnt-remove-risk-it-moves-it-to-patients</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-28T17:14:08.000Z</news:publication_date><news:title>Replacing radiologists doesn’t remove risk -- it moves it to patients</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/rishi-seth.on3oGJquED.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Rishi Seth</image:caption></image:image></url><url><loc>https://www.auntminnie.com/practice-management/administration/economics/article/15823370/radiology-researchers-weigh-in-on-the-impact-of-political-climate</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-27T20:22:35.000Z</news:publication_date><news:title>Radiology researchers weigh in on the impact of the political climate</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/washington-dc-capitol-social.sRH8IuZAqs.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15823355/children-almost-invisible-in-public-imaging-datasets</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-27T18:43:37.000Z</news:publication_date><news:title>Children ‘almost invisible’ in public imaging datasets</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/children.NKjaqPx9z8.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/womens-imaging/article/15823350/ai-model-predicts-cardiovascular-risk-from-bacs-on-mammograms</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-27T18:31:58.000Z</news:publication_date><news:title>AI model predicts cardiovascular risk from BACs on mammograms</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/2026-04-24-jacc-breast-bac-heart-risk.Er9BcItE3p.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Example of Percentile Nomogram With Age-Adjusted BAC Quartiles. (A) Mammogram of a 56-year-old woman. There is evident BAC (pink arrow). This was quantified as a BAC score of 30 using the cmAngio tool. (B) Nomogram indicating that a BAC score of 30 places a 56-year-old woman within the 50th to 75th percentile for her age. Images are republished under a Creative Commons license (CC BY 4.0).</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/womens-imaging/breast/article/15823344/ai-improves-mammography-specificity-and-speed-in-asian-reader-study</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-27T18:01:17.000Z</news:publication_date><news:title>AI improves mammography specificity, speed in Asia-Pacific reader study</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/ai-hand.vuix6OW5Lu.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/editors-note/article/15823204/week-in-review-acp-and-breast-cancer-screening-nassau-mri-story-gets-weirder-cocacola-and-fecalomas</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-24T19:39:00.000Z</news:publication_date><news:title>Week in Review: ACP and breast cancer screening | Nassau MRI story gets weirder | Coca-Cola and fecalomas</news:title></news:news></url><url><loc>https://www.auntminnie.com/clinical-news/molecular-imaging/article/15823216/chatgpt-matches-nuclear-medicine-experts-on-fdgpetct-scans</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-24T19:08:33.000Z</news:publication_date><news:title>ChatGPT matches nuclear medicine experts on FDG-PET/CT scans</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/ai-face.W7epK1It7t.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/ct/article/15823212/hrct-best-chest-xray-when-it-comes-to-identifying-ild</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-24T17:44:39.000Z</news:publication_date><news:title>HRCT bests chest x-ray when it comes to identifying ILD</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/lung-ct-images.DRQEVU4rDG.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/practice-management/article/15823097/musculoskeletal-strain-affects-majority-of-radiologists</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-23T20:47:10.000Z</news:publication_date><news:title>Musculoskeletal strain affects majority of radiologists</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/ergonomics.J6psXdrLTo.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/digital-x-ray/article/15823095/new-xray-dataset-helps-clinicians-develop-pathology-detection-ai</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-23T20:26:10.000Z</news:publication_date><news:title>New x-ray dataset helps clinicians develop pathology detection AI</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/pulmonary.b8NWSj7MDP.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Example radiographs with different labels for &amp;quot;pulmonary congestion,&amp;quot; &amp;quot;pleural effusion,&amp;quot; &amp;quot;pulmonary opacities,&amp;quot; and &amp;quot;atelectasis.&amp;quot;</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/article/15823057/lirads-ctmri-liver-malignancy-features-show-high-interreader-agreement</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-04-23T17:44:38.000Z</news:publication_date><news:title>LI-RADS CT/MRI liver malignancy features show high interreader agreement</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/liver.6J6EjAPtjX.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url></urlset>