2023 World Conference on Lung Cancer (Posters)-EP07.01. Assessing Morphometric Complexity in Lung Parenchyma of NSCLC Patients with IPF Undergoing Radiotherapy

EP07.01. Assessing Morphometric Complexity in Lung Parenchyma of NSCLC Patients with IPF Undergoing Radiotherapy - PDF(Abstract)

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This document discusses a study that aimed to assess the morphometric complexity in the lung tissue of non-small cell lung cancer (NSCLC) patients with idiopathic pulmonary fibrosis (IPF) who were undergoing radiotherapy. The researchers developed a methodology for measuring morphometric complexity by using a Box-counting fractal dimension measurement. They analyzed five NSCLC patients with underlying IPF who underwent definitive radiotherapy. CT scans, binary lung masks, and radiation dose contours were used in the assessment algorithm. The Box-counting fractal dimensions were measured using a MATLAB script to determine the relationship between cube size and the number of cubes needed to cover the lung tissue. <br /><br />The results showed that the lung tissue exposed to higher radiation doses had lower morphometric complexity. Two patients who experienced severe radiation pneumonitis (RP) had the lowest mean fractal dimensions. The researchers plan to conduct an additional study with a larger sample size based on these initial findings. <br /><br />The study highlights the importance of assessing morphometric complexity in NSCLC patients with IPF undergoing radiotherapy for prognosis. This measurement could potentially help identify patients who are at a higher risk of developing severe RP. The keywords associated with this study are radiation pneumonitis, fractal dimension, and NSCLC.

Asset Subtitle

Jeongeun Hwang

Meta Tag

Speaker Jeongeun Hwang

Topic Early-Stage NSCLC: Best Practice

Keywords

morphometric complexity

lung tissue

non-small cell lung cancer

NSCLC

idiopathic pulmonary fibrosis

IPF

radiotherapy

Box-counting fractal dimension

radiation dose

radiation pneumonitis