Dr. Nick van Terheyden[email protected]PACS/VNAThe Case for Deconstructed PACS: Proprietary PACS, basic VNAs will be extinctThe concept of "deconstructed PACS" has generated much interest and controversy, but does that model make the most sense for healthcare institutions? Dr. Nick van Terheyden of Dell Healthcare and Life Sciences makes the case that proprietary PACS and even simple vendor-neutral archives (VNAs) are headed for extinction.January 27, 2016Page 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)
