- Patient chart brought to CT technologist; technologist calls patient
- Patient identification performed with exam verification
- Patient's screening form is reviewed with patient
- Patient is taken to changing area to change
- Examination explained to patient
- Patient is given oral contrast if needed
- Patient escorted to IV prep area
- IV access established outside exam room
- Patient guided to bathroom prior to scan
- Patient escorted to scanner
- Patient placed on scanner table
- IV connected to power injector
- Exam inquiry in RIS performed for prior history
- Patient weight and technologists initials put into scanner
- Log book entry (paper copy)
- Scout
- Scans performed
- Postprocessing task: reformatting
- Exam archived
- Network images relayed
- End exam
- Patient helped off table
- IV removed if necessary
- Patient escorted to changing area
- Technologist prepares CT room for next patient
- Power injector loaded
- Room made ready for next patient
- RIS completion of study and patient departure
- Relay queried to confirm image transmission
- Segment study if necessary
- Study pushed to PACS
- Place patient chart in patient completion bin
- Confirm images arrived in PACS
- Print film of study if necessary
Courtesy of Dr. Giles Boland, Massachusetts General Hospital, Harvard Medical School.

















![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=112&q=70&w=112)


