TY - JOUR
T1 - Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
AU - Ishizawa, Hisato
AU - Matsuda, Yasushi
AU - Ohno, Yoshiharu
AU - Sakurai, Eiko
AU - Ota, Atsuhiko
AU - Hattori, Hidekazu
AU - Tsukamoto, Tetsuya
AU - Matsunaga, Masaaki
AU - Kawai, Hiroshi
AU - Suzuki, Yamato
AU - Nagano, Hiromitsu
AU - Negi, Takahiro
AU - Tochii, Daisuke
AU - Tochii, Sachiko
AU - Suda, Takashi
AU - Hoshikawa, Yasushi
N1 - Publisher Copyright:
© Journal of Thoracic Disease. All rights reserved.
PY - 2023/2
Y1 - 2023/2
N2 - Background: Lung cancer frequently occurs in lungs with background idiopathic interstitial pneumonias (IIPs). Limited resection is often selected to treat lung cancer in patients with IIPs in whom respiratory function is already compromised. However, accurate surgical margins are essential for curative resection; underestimating these margins is a risk for residual lung cancer after surgery. We aimed to investigate the findings of lung fields adjacent to cancer segments affect the estimation of tumor size on computed tomography compared with the pathological specimen. Methods: This analytical observational study retrospectively investigated 896 patients with lung cancer operated on at Fujita Health University from January 2015 to June 2020. The definition of underestimation was a ≥10 mm difference between the radiological and pathological maximum sizes of the tumor. Results: The lung tumors were in 15 honeycomb, 30 reticulated, 207 emphysematous, and 628 normal lungs. The ratio of underestimation in honeycomb lungs was 33.3% compared to 7.4% without honeycombing (P=0.004). Multivariate analysis showed that honeycombing was a significant risk factor for tumor size underestimation. A Bland-Altman plot represented wide 95% limits of agreement, −40.8 to 70.2 mm, between the pathological and radiological maximum tumor sizes in honeycomb lungs. Conclusions: Honeycomb lung adjacent to the tumor is a major risk factor for preoperative radiological tumor size underestimation in patients with lung cancer.
AB - Background: Lung cancer frequently occurs in lungs with background idiopathic interstitial pneumonias (IIPs). Limited resection is often selected to treat lung cancer in patients with IIPs in whom respiratory function is already compromised. However, accurate surgical margins are essential for curative resection; underestimating these margins is a risk for residual lung cancer after surgery. We aimed to investigate the findings of lung fields adjacent to cancer segments affect the estimation of tumor size on computed tomography compared with the pathological specimen. Methods: This analytical observational study retrospectively investigated 896 patients with lung cancer operated on at Fujita Health University from January 2015 to June 2020. The definition of underestimation was a ≥10 mm difference between the radiological and pathological maximum sizes of the tumor. Results: The lung tumors were in 15 honeycomb, 30 reticulated, 207 emphysematous, and 628 normal lungs. The ratio of underestimation in honeycomb lungs was 33.3% compared to 7.4% without honeycombing (P=0.004). Multivariate analysis showed that honeycombing was a significant risk factor for tumor size underestimation. A Bland-Altman plot represented wide 95% limits of agreement, −40.8 to 70.2 mm, between the pathological and radiological maximum tumor sizes in honeycomb lungs. Conclusions: Honeycomb lung adjacent to the tumor is a major risk factor for preoperative radiological tumor size underestimation in patients with lung cancer.
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U2 - 10.21037/jtd-22-1115
DO - 10.21037/jtd-22-1115
M3 - Article
AN - SCOPUS:85149616046
SN - 2072-1439
VL - 15
SP - 516
EP - 528
JO - Journal of Thoracic Disease
JF - Journal of Thoracic Disease
IS - 2
ER -