Search Tag: Radiology

2026 05 Oct

  Lower tube voltage is emerging as a practical way to reduce radiation exposure in contrast-enhanced computed tomography (CT) of the abdomen and pelvis without sacrificing diagnostic image quality. Evidence from 13 studies shows that low-kVp protocols, particularly at 80 kVp, can deliver substantial dose reductions when paired with reconstruc1Read more

2026 05 Oct

  CT patient centring remains inconsistent across clinical practice, with radiographers reporting persistent positioning errors, uneven knowledge of dose-related effects and limited use of automated tools. An international survey of 321 radiographers from 43 countries found that vertical off-centring below the gantry isocentre was the most fre1Read more

2026 14 Sep

  A second-generation mobile head CT system has matched or surpassed stationary scanners on several measures of image quality while delivering a lower radiation dose under routine protocols. The comparison, published in Neuroradiology, involved 100 neurosurgical intensive care patients at Skåne University Hospital in Lund, Sweden. Four radiolo1Read more

2026 08 Sep

  A simplified MRI-based approach derived from Node Reporting and Data System 1.0 (Node-RADS) performed better than European Society of Gastrointestinal and Abdominal Radiology (ESGAR) criteria for assessing lymph node metastasis in rectal adenocarcinoma before surgery. Published in  Radiology , the retrospective multicentre analysis inclu1Read more

2026 08 Sep

  Artificial intelligence could help identify some breast cancers that emerge between routine mammography rounds, particularly cancers that were retrospectively visible on earlier images but not detected at the time. A review published in the  Journal of Breast Imaging  assesses current evidence on AI and interval cancers, which are diagno1Read more

2026 08 Sep

  Artificial intelligence could help identify some breast cancers that emerge between routine mammography rounds, particularly cancers that were retrospectively visible on earlier images but not detected at the time. A review published in the  Journal of Breast Imaging  assesses current evidence on AI and interval cancers, which are diagno1Read more

2026 08 Sep

  Artificial intelligence could help identify some breast cancers that emerge between routine mammography rounds, particularly cancers that were retrospectively visible on earlier images but not detected at the time. A review published in the  Journal of Breast Imaging  assesses current evidence on AI and interval cancers, which are diagno1Read more

2026 15 Aug

  Large language models can classify patterns of usual interstitial pneumonia from radiology reports with substantial agreement against expert consensus, but their performance depends strongly on how they are prompted. A retrospective study in the  Journal of Imaging Informatics in Medicine  evaluated a range of open-source models using hi1Read more

2026 15 Aug

  Large language models can classify patterns of usual interstitial pneumonia from radiology reports with substantial agreement against expert consensus, but their performance depends strongly on how they are prompted. A retrospective study in the  Journal of Imaging Informatics in Medicine  evaluated a range of open-source models using hi1Read more

2026 15 Aug

  Large language models can classify patterns of usual interstitial pneumonia from radiology reports with substantial agreement against expert consensus, but their performance depends strongly on how they are prompted. A retrospective study in the  Journal of Imaging Informatics in Medicine  evaluated a range of open-source models using hi1Read more

2026 07 Aug

  Many women in lung cancer screening remain overdue for mammography. An analysis in the  Journal of the American College of Radiology  assessed women enrolled in a centralised programme at a U.S. academic medical centre. Mammography completion was below national estimates, while smoking exposure and a personal history of cancer were assoc1Read more

2026 07 Aug

  Many women in lung cancer screening remain overdue for mammography. An analysis in the  Journal of the American College of Radiology  assessed women enrolled in a centralised programme at a U.S. academic medical centre. Mammography completion was below national estimates, while smoking exposure and a personal history of cancer were assoc1Read more

2026 07 Aug

  A medical imaging foundation model has been developed to interpret seven modalities across several clinical specialities. A paper published in  The Lancet Digital Health  details MerMED-FM, which was trained on about 3.3 million unlabelled images using self-supervised learning and a memory module. Evaluation across radiology, histopathol1Read more

2026 07 Aug

  A medical imaging foundation model has been developed to interpret seven modalities across several clinical specialities. A paper published in  The Lancet Digital Health  details MerMED-FM, which was trained on about 3.3 million unlabelled images using self-supervised learning and a memory module. Evaluation across radiology, histopathol1Read more

2026 07 Aug

  A medical imaging foundation model has been developed to interpret seven modalities across several clinical specialities. A paper published in  The Lancet Digital Health  details MerMED-FM, which was trained on about 3.3 million unlabelled images using self-supervised learning and a memory module. Evaluation across radiology, histopathol1Read more

2026 06 Aug

  Iodinated contrast media supports clinical decision-making across emergency, cancer, cardiovascular and routine imaging, but rising demand, supply constraints and inefficient use place growing pressure on services. Recent shortages have forced organisations to alter protocols, redirect care or delay examinations, exposing weaknesses in suppl1Read more

2026 06 Aug

  Iodinated contrast media supports clinical decision-making across emergency, cancer, cardiovascular and routine imaging, but rising demand, supply constraints and inefficient use place growing pressure on services. Recent shortages have forced organisations to alter protocols, redirect care or delay examinations, exposing weaknesses in suppl1Read more

2026 06 Aug

  Iodinated contrast media supports clinical decision-making across emergency, cancer, cardiovascular and routine imaging, but rising demand, supply constraints and inefficient use place growing pressure on services. Recent shortages have forced organisations to alter protocols, redirect care or delay examinations, exposing weaknesses in suppl1Read more

2026 06 Aug

  Real-world imaging data is emerging as a distinct resource for biomedical research, adding the actual images collected during routine care to more familiar clinical datasets. A recent article published in  JMIR Medical Informatics  links wider use to improvements in imaging infrastructure, standardisation and de-identification. Medical i1Read more

2026 06 Aug

  Real-world imaging data is emerging as a distinct resource for biomedical research, adding the actual images collected during routine care to more familiar clinical datasets. A recent article published in  JMIR Medical Informatics  links wider use to improvements in imaging infrastructure, standardisation and de-identification. Medical i1Read more

2026 06 Aug

  Real-world imaging data is emerging as a distinct resource for biomedical research, adding the actual images collected during routine care to more familiar clinical datasets. A recent article published in  JMIR Medical Informatics  links wider use to improvements in imaging infrastructure, standardisation and de-identification. Medical i1Read more

2026 29 Jul

  Clearer wording in computed tomography reports can reduce uncertainty when adults are assessed for suspected acute appendicitis. An investigation published in  Insights into Imaging  compared original radiologist impressions, reassessed wording and structured schemes based on selected imaging findings. It reviewed 983 consecutive CT repo1Read more

2026 29 Jul

  Clearer wording in computed tomography reports can reduce uncertainty when adults are assessed for suspected acute appendicitis. An investigation published in  Insights into Imaging  compared original radiologist impressions, reassessed wording and structured schemes based on selected imaging findings. It reviewed 983 consecutive CT repo1Read more

2026 29 Jul

  A magnetic resonance imaging approach has shown potential to estimate tumour grade before treatment in intrahepatic mass-forming cholangiocarcinoma and provide preliminary information about survival risk. The retrospective multicentre study, published in  Insights into Imaging , used preoperative scans from 333 patients treated at three 1Read more

2026 27 Jul

  A structured CT scoring system for lymph nodes produces broadly consistent assessments in colon cancer, although its ability to detect metastases remains limited. A retrospective study published in  Insights into Imaging  evaluated the Node Reporting and Data System, or Node-RADS, in 247 patients treated at a hospital in China. Six radio1Read more

2026 27 Jul

  Automated whole-liver analysis of magnetic resonance imaging may offer a more consistent way to measure liver fat and grade hepatic steatosis. An investigation published in  Academic Radiology  assessed an artificial intelligence model that calculates proton density fat fraction across the whole liver rather than using manually placed re1Read more

2026 27 Jul

  Automated tracking on serial CT may support more complete assessment of colorectal liver metastases by matching individual lesions, identifying new or disappeared disease and directing attention to uncertain results. A retrospective evaluation published in  European Radiology Experimental  tested a model-based system in adults with unres1Read more

2026 22 Jul

  Rapid identification of free gas in the abdominal cavity is critical in emergency imaging, but trace volumes can be difficult to detect on CT. A multicentre retrospective evaluation published in Insights into Imaging found that an artificial intelligence model achieved strong overall performance in detecting and measuring pneumoperitoneum, 1Read more

2026 22 Jul

  Rapid identification of free gas in the abdominal cavity is critical in emergency imaging, but trace volumes can be difficult to detect on CT. A multicentre retrospective evaluation published in Insights into Imaging found that an artificial intelligence model achieved strong overall performance in detecting and measuring pneumoperitoneum, 1Read more

2026 22 Jul

  Rapid identification of free gas in the abdominal cavity is critical in emergency imaging, but trace volumes can be difficult to detect on CT. A multicentre retrospective evaluation published in Insights into Imaging found that an artificial intelligence model achieved strong overall performance in detecting and measuring pneumoperitoneum, 1Read more