Cargando…

A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images

The aim of our study was to assess the diagnostic usefulness of the gray level parameters to distinguish osteolytic lesions using radiological images. Materials and Methods. A retrospective study was carried out. A total of 76 skeletal radiographs of osteolytic metastases and 67 radiographs of multi...

Descripción completa

Detalles Bibliográficos
Autores principales: Baltasar Sánchez, Alicia, Gonzalez Sistal, Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4099227/
https://www.ncbi.nlm.nih.gov/pubmed/25054170
http://dx.doi.org/10.1155/2014/264836
_version_ 1782326459637956608
author Baltasar Sánchez, Alicia
Gonzalez Sistal, Angel
author_facet Baltasar Sánchez, Alicia
Gonzalez Sistal, Angel
author_sort Baltasar Sánchez, Alicia
collection PubMed
description The aim of our study was to assess the diagnostic usefulness of the gray level parameters to distinguish osteolytic lesions using radiological images. Materials and Methods. A retrospective study was carried out. A total of 76 skeletal radiographs of osteolytic metastases and 67 radiographs of multiple myeloma were used. The cases were classified into nonflat (MM1 and OL1) and flat bones (MM2 and OL2). These radiological images were analyzed by using a computerized method. The parameters calculated were mean, standard deviation, and coefficient of variation (MGL, SDGL, and CVGL) based on gray level histogram analysis of a region-of-interest. Diagnostic utility was quantified by measurement of parameters on osteolytic metastases and multiple myeloma, yielding quantification of area under the receiver operating characteristic (ROC) curve (AUC). Results. Flat bone groups (MM2 and OL2) showed significant differences in mean values of MGL (P = 0.048) and SDGL (P = 0.003). Their corresponding values of AUC were 0.758 for MGL and 0.883 for SDGL in flat bones. In nonflat bones these gray level parameters do not show diagnostic ability. Conclusion. The gray level parameters MGL and SDGL show a good discriminatory diagnostic ability to distinguish between multiple myeloma and lytic metastases in flat bones.
format Online
Article
Text
id pubmed-4099227
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-40992272014-07-22 A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images Baltasar Sánchez, Alicia Gonzalez Sistal, Angel ScientificWorldJournal Research Article The aim of our study was to assess the diagnostic usefulness of the gray level parameters to distinguish osteolytic lesions using radiological images. Materials and Methods. A retrospective study was carried out. A total of 76 skeletal radiographs of osteolytic metastases and 67 radiographs of multiple myeloma were used. The cases were classified into nonflat (MM1 and OL1) and flat bones (MM2 and OL2). These radiological images were analyzed by using a computerized method. The parameters calculated were mean, standard deviation, and coefficient of variation (MGL, SDGL, and CVGL) based on gray level histogram analysis of a region-of-interest. Diagnostic utility was quantified by measurement of parameters on osteolytic metastases and multiple myeloma, yielding quantification of area under the receiver operating characteristic (ROC) curve (AUC). Results. Flat bone groups (MM2 and OL2) showed significant differences in mean values of MGL (P = 0.048) and SDGL (P = 0.003). Their corresponding values of AUC were 0.758 for MGL and 0.883 for SDGL in flat bones. In nonflat bones these gray level parameters do not show diagnostic ability. Conclusion. The gray level parameters MGL and SDGL show a good discriminatory diagnostic ability to distinguish between multiple myeloma and lytic metastases in flat bones. Hindawi Publishing Corporation 2014 2014-06-25 /pmc/articles/PMC4099227/ /pubmed/25054170 http://dx.doi.org/10.1155/2014/264836 Text en Copyright © 2014 A. Baltasar Sánchez and A. Gonzalez Sistal. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Baltasar Sánchez, Alicia
Gonzalez Sistal, Angel
A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images
title A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images
title_full A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images
title_fullStr A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images
title_full_unstemmed A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images
title_short A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images
title_sort quantitative method for the characterization of lytic metastases of the bone from radiographic images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4099227/
https://www.ncbi.nlm.nih.gov/pubmed/25054170
http://dx.doi.org/10.1155/2014/264836
work_keys_str_mv AT baltasarsanchezalicia aquantitativemethodforthecharacterizationoflyticmetastasesofthebonefromradiographicimages
AT gonzalezsistalangel aquantitativemethodforthecharacterizationoflyticmetastasesofthebonefromradiographicimages
AT baltasarsanchezalicia quantitativemethodforthecharacterizationoflyticmetastasesofthebonefromradiographicimages
AT gonzalezsistalangel quantitativemethodforthecharacterizationoflyticmetastasesofthebonefromradiographicimages