Cherrill FarnsworthPractice ManagementStark II interim final rule leaves huge self-referral loopholeThe National Coalition for Quality Diagnostic Imaging Services welcomes the additional flexibility that the U.S. Centers for Medicare and Medicaid Services has brought to the Stark Laws. However, a substantial loophole remains in the statute with regard to the in-office ancillary services exception, according to an editorial by Cherrill Farnsworth.July 19, 2004Industry NewsRadiology awaits arrival of HCFA's new APC payment systemThe radiology community is nervously preparing for the implementation of HCFA's ambulatory payment classifications scheme, which starting July 1 will dramatically cut reimbursement for outpatient radiology services. By Cherrill Farnsworth.June 4, 2000Technology ReviewEmbracing change in HCFA's new APC payment systemMay 31, 2000Page 1 of 1Top StoriesCTDL segmentation of chest muscle volume shows promise for COPD patientsDeep learning (DL)-based muscle volume assessment from routine CT scans could help identify COPD patients with comorbid sarcopenia.CareersHPI: Workforce attrition higher in radiology subspecialtiesAssociationsVideo from ECR: Minerva Becker shares congress highlightsCTECR: 'Black swan events' demand informed imaging infrastructurePractice ManagementECR: Integrating actionable reporting into the imaging workflow
![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=400&q=70&w=600)
![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)
