Kate Madden Yee[email protected]HomeHow best can radiology departments reduce patient no-shows?Reducing a radiology department's missed appointment rate not only improves productivity, but also translates to financial gain.December 3, 2025MRIMachine learning produces personalized risk estimates for prostate MRIMachine learning offers risk estimates of abnormal prostate MRI and can support triage of this test, researchers noted.November 6, 2025MRIAuntMinnie.com MRI InsiderThis edition of our MRI Insider highlights research presented at the American Society for Radiation Oncology's annual meeting.October 1, 2025MRIASTRO: Daily MRgRT recontouring improves prostate treatment outcomesDaily online adaptive recontouring is associated with clinically meaningful benefit in patient-reported quality of life measures.September 30, 2025Womens ImagingACS: Cancer survival rates are lower in rural areasThe research also reported lower cancer survival rates for Blacks compared to whites, underscoring "disparities in receipt of care."September 24, 2025Womens ImagingMammography acquisition parameters affect both AI, radiologist readsThe findings could help clinicians better develop "effective strategies for the clinical integration of AI," researchers noted.September 18, 2025HomeWhat prompts radiology department cancellations of imaging orders?Although the percentage of radiology cancellations of imaging orders is low, these cancellations are influenced by particular factors.September 18, 2025CTVideo: SCCT president offers highlights for upcoming meetingSCCT President Maros Ferencik, MD, PhD, spoke to AuntMinnie about research and trends that will be explored at the society's upcoming meeting.July 16, 2025CTIncidental LCS findings identify lung abnormalities among Asian populationIncidental CT findings, particularly on lung cancer screening (LCS), characterize interstitial lung abnormalities in Asian populations.May 27, 2025ISMRM 2025ISMRM: 7-tesla MRI illuminates the roots of fatigue in depressed individuals7-tesla MRI illuminates the "bioenergetic parameters" of the brains of people with depression.May 16, 2025Page 1 of 49Next PageTop StoriesCardiac ImagingECR: Cardiac imaging is at the 'heart' of precision medicineThe heart beats 2.5 billion times in a person's lifetime and "never has a day off," presenter Michelle Williams, PhD, noted.UltrasoundUltrasound MinnieCast, Episode 3: Focused ultrasound brings hope to patientsWomens ImagingECR: LLMs help patients understand breast imaging reportsCTDL segmentation of chest muscle volume shows promise for COPD patientsCareersHPI: Workforce attrition higher in radiology subspecialties
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=167&q=70&w=250)
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
