Crystal PhendCTCT angiography detects significant coronary lesions prior to valve surgeryConventional coronary angiography is recommended for patients scheduled for valve surgery, but 64-slice CT may be a better option for ruling out coronary lesions, according to researchers from the Netherlands.June 7, 2006MRITechnology, guidelines cement role for breast MR in cancer screeningMRI is more sensitive in identifying breast cancer than mammography, but its role in screening has been controversial and its diagnostic use varied. Better guidelines are needed to increase the modality's value in breast imaging, according to a presenter at the 2006 American Society of Breast Disease (ASBD) symposium in Las Vegas.May 25, 2006CT64-slice CT reliable as first-line test before coronary angiographyIn two of the first studies comparing generations of CT systems, 64-slice scanners appear to be the most accurate in detecting coronary vessel obstruction. The studies, presented at the 2006 American College of Cardiology (ACC) meeting in Atlanta, found clinically significant differences among 12-, 16-, and 64-slice scanners.May 24, 2006Page 1 of 1Top StoriesMRIUnstable brain networks may drive multiple sclerosis fatigueFatigue affects between 36.5% and 78% of people with multiple sclerosis and can dramatically impair their daily lives.Womens ImagingAI-calculated BAC on mammograms predicts cardiovascular disease in womenCardiac ImagingECR: Cardiac imaging is at the 'heart' of precision medicineUltrasoundUltrasound MinnieCast, Episode 3: Focused ultrasound brings hope to patientsWomens ImagingECR: LLMs help patients understand breast imaging reports
![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)
