Robust imaging approach for precise prediction of postoperative lung function in lung cancer patients prior to curative operation

Autor: Suho Kim, Jonghoon Kim, Uichan Jeong, You Jin Oh, Sung Goo Park, Ho Yun Lee
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Thoracic Cancer, Vol 15, Iss 1, Pp 35-43 (2024)
Druh dokumentu: article
ISSN: 1759-7714
1759-7706
DOI: 10.1111/1759-7714.15153
Popis: Abstract Background To create a combined variable integrating both ventilation and perfusion as measured by preoperative dual‐energy computed tomography (DECT), compare the results with predicted postoperative (PPO) lung function as estimated using conventional methods, and assess agreement with actual postoperative lung function. Methods A total of 33 patients with lung cancer who underwent curative surgery after DECT and perfusion scan were selected. Ventilation and perfusion values were generated from DECT data. In the “combined variable method,” these two variables and clinical variables were linearly regressed to estimate PPO lung function. Six PPO lung function parameters (segment counting, perfusion scan, volume analysis, ventilation map, perfusion map, and combined variable) were compared with actual postoperative lung function using an intraclass correlation coefficient (ICC). Results The segment counting method produced the highest ICC for forced vital capacity (FVC) at 0.93 (p
Databáze: Directory of Open Access Journals
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje