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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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 |
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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 |
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