Few patients suspected of having lung cancer undergo all three staging tests recommended for a diagnosis, concludes a new study in the Annals of Thoracic Surgery. Skipping steps and delaying treatment are likely associated with poorer outcomes, according to the researchers.
The study from Baptist Cancer Center and the University of Memphis in Tennessee looked at the records of 614 patients who underwent surgery for suspected lung cancer between 2009 and 2013. The researchers found that only 10% of patients had all three recommended staging tests before surgery: a CT scan, a PET/CT scan, and an invasive test (Ann Thorac Surg, August 2015, Vol. 100:2, pp. 394-400).
Among the 614 eligible patients, 98% had a preoperative CT scan, but 27% did not undergo a preoperative diagnostic procedure, 22% did not have a PET/CT scan, and 88% did not have an invasive staging exam. On average, it took between 1.5 months and six months for many patients to undergo surgery after an initial chest x-ray showed signs of possible lung cancer.
Treating lung cancer is complex, and key multidisciplinary specialists must be actively engaged with patients to determine the best sequence of care for each one, the researchers noted. Lung cancer care programs must chart and measure their performance in providing quality care to optimize patient survival.











![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)








