Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.

OBJECTIVE:To retrospectively evaluate the value of computerized 3D texture analysis for differentiating pulmonary metastases from non-metastatic lesions in pediatric patients with osteosarcoma. MATERIALS AND METHODS:This retrospective study was approved by the institutional review board. The study c...

Full description

Bibliographic Details
Main Authors: Yeon Jin Cho, Woo Sun Kim, Young Hun Choi, Ji Young Ha, SeungHyun Lee, Sang Joon Park, Jung-Eun Cheon, Hyoung Jin Kang, Hee Young Shin, In-One Kim
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0211969
_version_ 1818403507492880384
author Yeon Jin Cho
Woo Sun Kim
Young Hun Choi
Ji Young Ha
SeungHyun Lee
Sang Joon Park
Jung-Eun Cheon
Hyoung Jin Kang
Hee Young Shin
In-One Kim
author_facet Yeon Jin Cho
Woo Sun Kim
Young Hun Choi
Ji Young Ha
SeungHyun Lee
Sang Joon Park
Jung-Eun Cheon
Hyoung Jin Kang
Hee Young Shin
In-One Kim
author_sort Yeon Jin Cho
collection DOAJ
description OBJECTIVE:To retrospectively evaluate the value of computerized 3D texture analysis for differentiating pulmonary metastases from non-metastatic lesions in pediatric patients with osteosarcoma. MATERIALS AND METHODS:This retrospective study was approved by the institutional review board. The study comprised 42 pathologically confirmed pulmonary nodules in 16 children with osteosarcoma who had undergone preoperative computed tomography between January 2009 and December 2014. Texture analysis was performed using an in-house program. Multivariate logistic regression analysis was performed to identify factors for differentiating metastatic nodules from non-metastases. A subgroup analysis was performed to identify differentiating parameters in small non-calcified pulmonary nodules. The receiver operator characteristic curve was created to evaluate the discriminating performance of the established model. RESULTS:There were 24 metastatic and 18 non-metastatic lesions. Multivariate analysis revealed that higher mean attenuation (adjusted odds ratio [OR], 1.014, P = 0.003) and larger effective diameter (OR, 1.745, P = 0.012) were significant differentiators. The analysis with small non-calcified pulmonary nodules (7 metastases and 18 non-metastases) revealed significant inter-group differences in various parameters. Logistic regression analysis revealed that higher mean attenuation (OR, 1.007, P = 0.008) was a significant predictor of non-calcified pulmonary metastases. The established logistic regression model of subgroups showed excellent discriminating performance in the ROC analysis (area under the curve, 0.865). CONCLUSION:Pulmonary metastases from osteosarcoma could be differentiated from non-metastases by using computerized texture analysis. Higher mean attenuation and larger diameter were significant predictors for pulmonary metastases, while higher mean attenuation was a significant predictor for small non-calcified pulmonary metastases.
first_indexed 2024-12-14T08:25:21Z
format Article
id doaj.art-e29e0a5bf403466f81790e8418435ec8
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-14T08:25:21Z
publishDate 2019-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-e29e0a5bf403466f81790e8418435ec82022-12-21T23:09:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01142e021196910.1371/journal.pone.0211969Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.Yeon Jin ChoWoo Sun KimYoung Hun ChoiJi Young HaSeungHyun LeeSang Joon ParkJung-Eun CheonHyoung Jin KangHee Young ShinIn-One KimOBJECTIVE:To retrospectively evaluate the value of computerized 3D texture analysis for differentiating pulmonary metastases from non-metastatic lesions in pediatric patients with osteosarcoma. MATERIALS AND METHODS:This retrospective study was approved by the institutional review board. The study comprised 42 pathologically confirmed pulmonary nodules in 16 children with osteosarcoma who had undergone preoperative computed tomography between January 2009 and December 2014. Texture analysis was performed using an in-house program. Multivariate logistic regression analysis was performed to identify factors for differentiating metastatic nodules from non-metastases. A subgroup analysis was performed to identify differentiating parameters in small non-calcified pulmonary nodules. The receiver operator characteristic curve was created to evaluate the discriminating performance of the established model. RESULTS:There were 24 metastatic and 18 non-metastatic lesions. Multivariate analysis revealed that higher mean attenuation (adjusted odds ratio [OR], 1.014, P = 0.003) and larger effective diameter (OR, 1.745, P = 0.012) were significant differentiators. The analysis with small non-calcified pulmonary nodules (7 metastases and 18 non-metastases) revealed significant inter-group differences in various parameters. Logistic regression analysis revealed that higher mean attenuation (OR, 1.007, P = 0.008) was a significant predictor of non-calcified pulmonary metastases. The established logistic regression model of subgroups showed excellent discriminating performance in the ROC analysis (area under the curve, 0.865). CONCLUSION:Pulmonary metastases from osteosarcoma could be differentiated from non-metastases by using computerized texture analysis. Higher mean attenuation and larger diameter were significant predictors for pulmonary metastases, while higher mean attenuation was a significant predictor for small non-calcified pulmonary metastases.https://doi.org/10.1371/journal.pone.0211969
spellingShingle Yeon Jin Cho
Woo Sun Kim
Young Hun Choi
Ji Young Ha
SeungHyun Lee
Sang Joon Park
Jung-Eun Cheon
Hyoung Jin Kang
Hee Young Shin
In-One Kim
Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.
PLoS ONE
title Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.
title_full Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.
title_fullStr Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.
title_full_unstemmed Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.
title_short Computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma: Differentiation of pulmonary metastases from non-metastatic nodules.
title_sort computerized texture analysis of pulmonary nodules in pediatric patients with osteosarcoma differentiation of pulmonary metastases from non metastatic nodules
url https://doi.org/10.1371/journal.pone.0211969
work_keys_str_mv AT yeonjincho computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT woosunkim computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT younghunchoi computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT jiyoungha computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT seunghyunlee computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT sangjoonpark computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT jungeuncheon computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT hyoungjinkang computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT heeyoungshin computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules
AT inonekim computerizedtextureanalysisofpulmonarynodulesinpediatricpatientswithosteosarcomadifferentiationofpulmonarymetastasesfromnonmetastaticnodules