The jury for a malpractice suit delivered a $1.5 million fine to a Virginia radiology firm for misinterpreting the CT scan of a patient who initially presented to the emergency department with abdominal pain, according to an article by the Roanoke Times.
In August 2016, LewisGale Medical Center in Salem admitted Alexander Nelson to the emergency department, where clinicians referred him for a CT exam, the Times reported. The supervisor on hand, a representative of Radiology Assoc. of Roanoke, completed the patient's report without any reference to appendicitis or possible appendicitis.
Nelson returned to the hospital two days later in worse condition, and a follow-up CT exam revealed that he had a ruptured appendix, according to the claim. He then had a stroke during surgery for the rupture.
A series of other complications -- including sepsis, respiratory failure, and blood clotting -- arose as a consequence of the original misdiagnosis of mesenteritis, said Nelson's lawyer, Anthony Russell. Over the course of three extended hospital stays and follow-up therapy, Nelson accumulated more than $365,000 in medical expenses.
The jury reached its verdict after three hours of deliberation on February 16, from which point the defense has 30 days to file post-trial motions, according to the Times.



















![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)