Cargando…

Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma

OBJECTIVES: We aimed to analyze the CT findings of ground-glass opacity nodules diagnosed pathologically as adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma in order to investigate whether quantitative CT parameters enable distinction of invasive ade...

Descripción completa

Detalles Bibliográficos
Autores principales: Son, Ji Ye, Lee, Ho Yun, Lee, Kyung Soo, Kim, Jae-Hun, Han, Joungho, Jeong, Ji Yun, Kwon, O Jung, Shim, Young Mog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125172/
https://www.ncbi.nlm.nih.gov/pubmed/25102064
http://dx.doi.org/10.1371/journal.pone.0104066
_version_ 1782329739098193920
author Son, Ji Ye
Lee, Ho Yun
Lee, Kyung Soo
Kim, Jae-Hun
Han, Joungho
Jeong, Ji Yun
Kwon, O Jung
Shim, Young Mog
author_facet Son, Ji Ye
Lee, Ho Yun
Lee, Kyung Soo
Kim, Jae-Hun
Han, Joungho
Jeong, Ji Yun
Kwon, O Jung
Shim, Young Mog
author_sort Son, Ji Ye
collection PubMed
description OBJECTIVES: We aimed to analyze the CT findings of ground-glass opacity nodules diagnosed pathologically as adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma in order to investigate whether quantitative CT parameters enable distinction of invasive adenocarcinoma from pre-invasive or minimally invasive adenocarcinoma. METHODS: We reviewed CT images and pathologic specimens from 191 resected ground-glass opacity nodules with little or no solid component at CT. Nodule size, volume, density, mass, skewness/kurtosis, and CT attenuation values at the 2.5(th)–97.5(th) percentiles on histogram, and texture parameters (uniformity and entropy) were assessed from CT datasets. RESULTS: Of 191 tumors, 38 were AISs (20%), 61 were MIAs (32%), and 92 (48%) were invasive adenocarcinomas. Multivariate logistic regression analysis helped identify the 75(th) percentile CT attenuation value (P = 0.04) and entropy (P<0.01) as independent predictors for invasive adenocarcinoma, with an area under the receiver operating characteristic curve of 0.780. CONCLUSION: Quantitative analysis of preoperative CT imaging metrics can help distinguish invasive adenocarcinoma from pre-invasive or minimally invasive adenocarcinoma.
format Online
Article
Text
id pubmed-4125172
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-41251722014-08-12 Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma Son, Ji Ye Lee, Ho Yun Lee, Kyung Soo Kim, Jae-Hun Han, Joungho Jeong, Ji Yun Kwon, O Jung Shim, Young Mog PLoS One Research Article OBJECTIVES: We aimed to analyze the CT findings of ground-glass opacity nodules diagnosed pathologically as adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma in order to investigate whether quantitative CT parameters enable distinction of invasive adenocarcinoma from pre-invasive or minimally invasive adenocarcinoma. METHODS: We reviewed CT images and pathologic specimens from 191 resected ground-glass opacity nodules with little or no solid component at CT. Nodule size, volume, density, mass, skewness/kurtosis, and CT attenuation values at the 2.5(th)–97.5(th) percentiles on histogram, and texture parameters (uniformity and entropy) were assessed from CT datasets. RESULTS: Of 191 tumors, 38 were AISs (20%), 61 were MIAs (32%), and 92 (48%) were invasive adenocarcinomas. Multivariate logistic regression analysis helped identify the 75(th) percentile CT attenuation value (P = 0.04) and entropy (P<0.01) as independent predictors for invasive adenocarcinoma, with an area under the receiver operating characteristic curve of 0.780. CONCLUSION: Quantitative analysis of preoperative CT imaging metrics can help distinguish invasive adenocarcinoma from pre-invasive or minimally invasive adenocarcinoma. Public Library of Science 2014-08-07 /pmc/articles/PMC4125172/ /pubmed/25102064 http://dx.doi.org/10.1371/journal.pone.0104066 Text en © 2014 Son et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Son, Ji Ye
Lee, Ho Yun
Lee, Kyung Soo
Kim, Jae-Hun
Han, Joungho
Jeong, Ji Yun
Kwon, O Jung
Shim, Young Mog
Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma
title Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma
title_full Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma
title_fullStr Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma
title_full_unstemmed Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma
title_short Quantitative CT Analysis of Pulmonary Ground-Glass Opacity Nodules for the Distinction of Invasive Adenocarcinoma from Pre-Invasive or Minimally Invasive Adenocarcinoma
title_sort quantitative ct analysis of pulmonary ground-glass opacity nodules for the distinction of invasive adenocarcinoma from pre-invasive or minimally invasive adenocarcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125172/
https://www.ncbi.nlm.nih.gov/pubmed/25102064
http://dx.doi.org/10.1371/journal.pone.0104066
work_keys_str_mv AT sonjiye quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma
AT leehoyun quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma
AT leekyungsoo quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma
AT kimjaehun quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma
AT hanjoungho quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma
AT jeongjiyun quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma
AT kwonojung quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma
AT shimyoungmog quantitativectanalysisofpulmonarygroundglassopacitynodulesforthedistinctionofinvasiveadenocarcinomafrompreinvasiveorminimallyinvasiveadenocarcinoma