Cargando…

Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer

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 curat...

Descripción completa

Detalles Bibliográficos
Autores principales: Ishizawa, Hisato, Matsuda, Yasushi, Ohno, Yoshiharu, Sakurai, Eiko, Ota, Atsuhiko, Hattori, Hidekazu, Tsukamoto, Tetsuya, Matsunaga, Masaaki, Kawai, Hiroshi, Suzuki, Yamato, Nagano, Hiromitsu, Negi, Takahiro, Tochii, Daisuke, Tochii, Sachiko, Suda, Takashi, Hoshikawa, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992633/
https://www.ncbi.nlm.nih.gov/pubmed/36910071
http://dx.doi.org/10.21037/jtd-22-1115
_version_ 1784902357271707648
author Ishizawa, Hisato
Matsuda, Yasushi
Ohno, Yoshiharu
Sakurai, Eiko
Ota, Atsuhiko
Hattori, Hidekazu
Tsukamoto, Tetsuya
Matsunaga, Masaaki
Kawai, Hiroshi
Suzuki, Yamato
Nagano, Hiromitsu
Negi, Takahiro
Tochii, Daisuke
Tochii, Sachiko
Suda, Takashi
Hoshikawa, Yasushi
author_facet Ishizawa, Hisato
Matsuda, Yasushi
Ohno, Yoshiharu
Sakurai, Eiko
Ota, Atsuhiko
Hattori, Hidekazu
Tsukamoto, Tetsuya
Matsunaga, Masaaki
Kawai, Hiroshi
Suzuki, Yamato
Nagano, Hiromitsu
Negi, Takahiro
Tochii, Daisuke
Tochii, Sachiko
Suda, Takashi
Hoshikawa, Yasushi
author_sort Ishizawa, Hisato
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9992633
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-99926332023-03-09 Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer Ishizawa, Hisato Matsuda, Yasushi Ohno, Yoshiharu Sakurai, Eiko Ota, Atsuhiko Hattori, Hidekazu Tsukamoto, Tetsuya Matsunaga, Masaaki Kawai, Hiroshi Suzuki, Yamato Nagano, Hiromitsu Negi, Takahiro Tochii, Daisuke Tochii, Sachiko Suda, Takashi Hoshikawa, Yasushi J Thorac Dis Original Article 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. AME Publishing Company 2023-02-21 2023-02-28 /pmc/articles/PMC9992633/ /pubmed/36910071 http://dx.doi.org/10.21037/jtd-22-1115 Text en 2023 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Ishizawa, Hisato
Matsuda, Yasushi
Ohno, Yoshiharu
Sakurai, Eiko
Ota, Atsuhiko
Hattori, Hidekazu
Tsukamoto, Tetsuya
Matsunaga, Masaaki
Kawai, Hiroshi
Suzuki, Yamato
Nagano, Hiromitsu
Negi, Takahiro
Tochii, Daisuke
Tochii, Sachiko
Suda, Takashi
Hoshikawa, Yasushi
Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
title Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
title_full Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
title_fullStr Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
title_full_unstemmed Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
title_short Honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
title_sort honeycomb lung is a major risk factor for preoperative radiological tumor size underestimation in patients with primary lung cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992633/
https://www.ncbi.nlm.nih.gov/pubmed/36910071
http://dx.doi.org/10.21037/jtd-22-1115
work_keys_str_mv AT ishizawahisato honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT matsudayasushi honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT ohnoyoshiharu honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT sakuraieiko honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT otaatsuhiko honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT hattorihidekazu honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT tsukamototetsuya honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT matsunagamasaaki honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT kawaihiroshi honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT suzukiyamato honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT naganohiromitsu honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT negitakahiro honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT tochiidaisuke honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT tochiisachiko honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT sudatakashi honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer
AT hoshikawayasushi honeycomblungisamajorriskfactorforpreoperativeradiologicaltumorsizeunderestimationinpatientswithprimarylungcancer