Cargando…

Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis

Correctly predicting pathologic regional node-negative (pN(0)) disease in patients with lung cancer before operation may avoid unnecessary mediastinal lymph node dissection (MLND). In this study, we analyze the value of the radiographic and histopathological features of primary tumors for predicting...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Meng, Wu, Ning, Zhang, Li, Sun, Wei, Wang, Jianwei, Lv, Lv, Ren, Jiansong, Lin, Dongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711838/
https://www.ncbi.nlm.nih.gov/pubmed/29196627
http://dx.doi.org/10.1038/s41598-017-16701-x
_version_ 1783283097812336640
author Li, Meng
Wu, Ning
Zhang, Li
Sun, Wei
Wang, Jianwei
Lv, Lv
Ren, Jiansong
Lin, Dongmei
author_facet Li, Meng
Wu, Ning
Zhang, Li
Sun, Wei
Wang, Jianwei
Lv, Lv
Ren, Jiansong
Lin, Dongmei
author_sort Li, Meng
collection PubMed
description Correctly predicting pathologic regional node-negative (pN(0)) disease in patients with lung cancer before operation may avoid unnecessary mediastinal lymph node dissection (MLND). In this study, we analyze the value of the radiographic and histopathological features of primary tumors for predicting pN(0) status in cT(1)N(0)M(0) lung adenocarcinoma and to establish an optimal surgical strategy for avoiding MLND in cT(1)N(0)M(0) lung adenocarcinoma patients. We retrospectively investigated the histopathological and radiographic data of 348 surgically resected cT(1)N(0)M(0) lung adenocarcinoma patients with systematic lymph node dissection from January 2005 to December 2012. Histopathological features and radiographic features were analyzed. Multivariable analysis was used to identify significant predictors of pN(0) disease. Our results showed that pN(0) disease was detected in 306 patients (87.9%) among the 348 patients with cT(1)N(0)M(0) lung adenocarcinoma. A decreasing trend of the pN(0) disease proportion was observed with both increasing histological grade and decreased differentiation (P < 0.001). In multivariable analysis, the solid component proportion was a significant predictor of pN(0) disease. Among 110 patients with a solid component proportion of no more than 21.3%, mediastinal lymph node involvement was not observed. Patients who meet this criterion may be successfully managed with lung resection without MLND.
format Online
Article
Text
id pubmed-5711838
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-57118382017-12-06 Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis Li, Meng Wu, Ning Zhang, Li Sun, Wei Wang, Jianwei Lv, Lv Ren, Jiansong Lin, Dongmei Sci Rep Article Correctly predicting pathologic regional node-negative (pN(0)) disease in patients with lung cancer before operation may avoid unnecessary mediastinal lymph node dissection (MLND). In this study, we analyze the value of the radiographic and histopathological features of primary tumors for predicting pN(0) status in cT(1)N(0)M(0) lung adenocarcinoma and to establish an optimal surgical strategy for avoiding MLND in cT(1)N(0)M(0) lung adenocarcinoma patients. We retrospectively investigated the histopathological and radiographic data of 348 surgically resected cT(1)N(0)M(0) lung adenocarcinoma patients with systematic lymph node dissection from January 2005 to December 2012. Histopathological features and radiographic features were analyzed. Multivariable analysis was used to identify significant predictors of pN(0) disease. Our results showed that pN(0) disease was detected in 306 patients (87.9%) among the 348 patients with cT(1)N(0)M(0) lung adenocarcinoma. A decreasing trend of the pN(0) disease proportion was observed with both increasing histological grade and decreased differentiation (P < 0.001). In multivariable analysis, the solid component proportion was a significant predictor of pN(0) disease. Among 110 patients with a solid component proportion of no more than 21.3%, mediastinal lymph node involvement was not observed. Patients who meet this criterion may be successfully managed with lung resection without MLND. Nature Publishing Group UK 2017-12-01 /pmc/articles/PMC5711838/ /pubmed/29196627 http://dx.doi.org/10.1038/s41598-017-16701-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Meng
Wu, Ning
Zhang, Li
Sun, Wei
Wang, Jianwei
Lv, Lv
Ren, Jiansong
Lin, Dongmei
Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis
title Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis
title_full Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis
title_fullStr Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis
title_full_unstemmed Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis
title_short Pathologic N(0) Status in Clinical T(1)N(0)M(0) Lung Adenocarcinoma is Predictable by the Solid Component Proportion with Quantitative CT Number Analysis
title_sort pathologic n(0) status in clinical t(1)n(0)m(0) lung adenocarcinoma is predictable by the solid component proportion with quantitative ct number analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711838/
https://www.ncbi.nlm.nih.gov/pubmed/29196627
http://dx.doi.org/10.1038/s41598-017-16701-x
work_keys_str_mv AT limeng pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis
AT wuning pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis
AT zhangli pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis
AT sunwei pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis
AT wangjianwei pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis
AT lvlv pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis
AT renjiansong pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis
AT lindongmei pathologicn0statusinclinicalt1n0m0lungadenocarcinomaispredictablebythesolidcomponentproportionwithquantitativectnumberanalysis