Wednesday, December 4 | 11:30 a.m.-11:40 a.m. | SSK05-07 | Room N229
Establishing a multidisciplinary panel to review positive CT lung cancer screening exams may help clinicians identify the most appropriate follow-up recommendations for screening participants, researchers will report in this Wednesday presentation.CT lung screening scans occasionally produce false-positive results that can lead to unnecessary downstream testing. To address this issue, researchers from the Banner Health Network have proposed setting up panels to review positive screening exams before making final recommendations.
The group, led by Dr. Michael Morris of Banner - University Medical Center Phoenix, investigated the advantages of having a multidisciplinary panel -- consisting of radiologists, interventional pulmonologists, and thoracic surgeons -- review all positive CT screening scans within its health network based on the Lung Imaging Reporting and Data System (Lung-RADS) reporting tool.
Among 205 screening exams initially determined to be positive in 2017 and 2018, the panel changed the classification of roughly 16% of the exams -- recategorizing the exams from Lung-RADS 3 to Lung-RADS 4 or vice versa.
The most common reason for changing the Lung-RADS score was failing to meet the Lung-RADS sizing criteria adequately during the initial review. Though less common, the panel also changed the Lung-RADS score for several exams after concluding that certain nodules were not benign but suspicious, and vice versa.
"Multidisciplinary review had a trend toward impacting lung cancer diagnosis, with Lung-RADS upcoding leading to early detection of lung cancer in two patients and downcoding resulting in a potential delay in cancer diagnosis in one patient," Morris told AuntMinnie.com.


















![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)

