IPF

It was a pleasure to present our work at #ers2022! Computer derived measures of the airways in CT using #AirQuant can predict mortality in IPF. Thank you to my co-authors Tony Wing Keung Cheung, Nesrin Moğulkoç Bishop, Recep Savas, Daniel Alexander, Yipeng Hu, Professor John Hurst, Joseph Jacob

Several chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) are characterised by abnormal dilatation of the airways. …

New paper on “Evaluation of automated airway morphological quantification for assessing fibrosing lung disease” to be presented at Deep Generative Models workshop @ MICCAI 2022. We present a completely labelless automated airway measurement method that learns to regress to an airway’s diameter.

The problem Chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) are characterised by abnormal dilatation of the airways. Quantification of airway features on computed tomography (CT) can help characterise disease progression.

BMVA April 2022 Symposium - Abstract Download Poster Abnormal airway dilation, termed bronchiectasis, is a feature of many chronic airway diseases. It is identified qualitatively on computed tomography (CT) in the clinic; however, quantitative analysis would make measurements of disease severity more precise and objective.

• On computed tomographic imaging, bronchiectasis appearances and distribution within the lung can suggest the underlying disease cause …

The goal of this project is to come up with a more objective method to measure the severity of structural lung diseases such as cystic fibrosis and idiopathic pulmonary fibrosis. In these diseases, the airways dilate and worsen with disease progression (bronchiectasis).

Patients with lung damage by scarring typically have abnormally larger airways. This difference in airway size between patients and healthy individuals can be seen with 3D xrays, known as a CT scan. We present a new software program called AirQuant to measure all airways of a patient’s CT scan. We compare measurements between 14 healthy individuals and 14 diseased patients. We found that airway disease was worse in the lower lungs and furthermore their airways were also more twisted. Measurements used by AirQuant, has potential as new markers in imaging to help us understand how bad a patient’s disease is.