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Carbon Monoxide Diffusing Capacity (DLCO) Correlates with CT Morphology after Chemo-Radio-Immunotherapy for Non-Small Cell Lung Cancer Stage III

Authors :
Markus Stana
Brane Grambozov
Christoph Gaisberger
Josef Karner
Elvis Ruznic
Johannes Berchtold
Barbara Zellinger
Raphaela Moosbrugger
Michael Studnicka
Gerd Fastner
Felix Sedlmayer
Franz Zehentmayr
Source :
Diagnostics; Volume 12; Issue 5; Pages: 1027
Publication Year :
2022
Publisher :
Multidisciplinary Digital Publishing Institute, 2022.

Abstract

Introduction: Curatively intended chemo-radio-immunotherapy for non-small cell lung cancer (NSCLC) stage III may lead to post-therapeutic pulmonary function (PF) impairment. We hypothesized that the decrease in global PF corresponds to the increase in tissue density in follow-up CTs. Hence, the study aim was to correlate the dynamics in radiographic alterations to carbon monoxide diffusing capacity (DLCO) and FEV1, which may contribute to a better understanding of radiation-induced lung disease. Methods: Eighty-five patients with NSCLC III were included. All of them received two cycles of platinum-based induction chemotherapy followed by high dose radiation. Thereafter, durvalumab was administered for one year in 63/85 patients (74%). Pulmonary function tests (PFTs) were performed three months and six months after completion of radiotherapy (RT) and compared to baseline. At the same time points, patients underwent diagnostic CT (dCT). These dCTs were matched to the planning CT (pCT) using RayStation® Model Based Segmentation and deformable image registration. Differential volumes defined by specific isodoses were generated to correlate them with the PFTs. Results: In general, significant correlations between PFTs and differential volumes were found in the mid-dose range, especially for the volume of the lungs receiving between 65% and 45% of the dose prescribed (V65−45%) and DLCO (p

Details

Language :
English
ISSN :
20754418
Database :
OpenAIRE
Journal :
Diagnostics; Volume 12; Issue 5; Pages: 1027
Accession number :
edsair.doi.dedup.....83b00fc8f76b9bbf2175690e5895337e
Full Text :
https://doi.org/10.3390/diagnostics12051027