The U.K. Cystic Lung Disease Rare Disease Collaborative Network issued a position statement in January about cystic lung disease diagnosis.
Simon Johnson, PhD, professor of respiratory medicine at the University of Nottingham, and colleagues highlighted that "in many cases a multidisciplinary diagnosis can be made without the need for lung biopsy" but that in some instances tissue sampling may be necessary when noninvasive methods leave diagnostic doubt.
The position statement was prompted by rare cystic lung diseases increasingly recognized as a result of wider application of CT scanning. Johnson and colleagues acknowledged that cystic lung disease management is a growing part of respiratory care. Cystic lung diseases tend to have extrapulmonary features that can both be diagnostic but also require surveillance and treatment in their own right, the authors wrote. As some of these diseases now have specific treatments, making a precise diagnosis is crucial.
"We are seeing an increase in referrals, mostly due to the increase in use of CT, including lung cancer screening," Johnson told AuntMinnie.com via email. "We hope that the document will improve the workup and management of the increasing number of patients with cystic lung diseases."
Read the full statement in BMJ Thorax here.
















![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)



