Not performing chest CT on patients with stage I or II breast cancer would miss very few pulmonary metastases, while significantly reducing healthcare spending and avoiding a significant number of false positives, according to a study published in the June issue of Journal of the National Comprehensive Cancer Network.
A research team from the Siteman Cancer Center at Barnes-Jewish Hospital and Washington University used data from a prospective database to study the records of more than 3,300 patients diagnosed with early-stage breast cancer between 1998 and 2012 (JNCCN, June 2017, Vol. 15:6, pp. 783-789).
Of these patients, 11% with stage I cancer and more than 36% with stage II cancer received a chest CT scan within six months of diagnosis -- contrary to recommendations in the National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology. Of these 683 patients, only nine (1.3%) were diagnosed with pulmonary metastases. However, benign pulmonary nodules were found in 175 (25.6%) of the patients.
"Not only do the costs of the chest CT and subsequent imaging and workup put a cost constraint on the already burdened healthcare system, but the psychological impact of such results on a patient and their family is enormous," lead author Dr. Barbara Dull said in a statement from the NCCN.
The results support the NCCN guidelines, which recommend standard imaging with bilateral mammography and ultrasound and, in some cases, breast MRI in women with early-stage breast cancer, according to the NCCN. Chest CT is not recommended for patients asymptomatic for distant metastases.


















![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)

