Cargando…
The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach
The estimation of growth rate of lytic bone tumors based on conventional radiography has been extensively studied. While benign tumors exhibit slow growth, malignant tumors are more likely to show fast growth. The most frequently used algorithm for grading of growth rate on conventional radiography...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854272/ https://www.ncbi.nlm.nih.gov/pubmed/34302499 http://dx.doi.org/10.1007/s00256-021-03868-8 |
_version_ | 1784653412250419200 |
---|---|
author | Benndorf, Matthias Bamberg, Fabian Jungmann, Pia M. |
author_facet | Benndorf, Matthias Bamberg, Fabian Jungmann, Pia M. |
author_sort | Benndorf, Matthias |
collection | PubMed |
description | The estimation of growth rate of lytic bone tumors based on conventional radiography has been extensively studied. While benign tumors exhibit slow growth, malignant tumors are more likely to show fast growth. The most frequently used algorithm for grading of growth rate on conventional radiography was published by Gwilym Lodwick. Based on the evaluation of the four descriptors (1) type of bone destruction (including the subdescriptor “margin” for geographic lesions), (2) penetration of cortex, (3) presence of a sclerotic rim, and (4) expanded shell, an overall growth grade (IA, IB, IC, II, III) can be assigned, with higher grade representing faster tumor growth. In this article, we provide an easy-to-use decision tree of Lodwick’s original grading algorithm, suitable for teaching of students and residents. Subtleties of the grading algorithm and potential pitfalls in clinical practice are explained and illustrated. Exemplary conventional radiographs provided for each descriptor in the decision tree may be used as a guide and atlas for assisting in evaluation of individual features in daily clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00256-021-03868-8. |
format | Online Article Text |
id | pubmed-8854272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88542722022-02-23 The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach Benndorf, Matthias Bamberg, Fabian Jungmann, Pia M. Skeletal Radiol Review Article The estimation of growth rate of lytic bone tumors based on conventional radiography has been extensively studied. While benign tumors exhibit slow growth, malignant tumors are more likely to show fast growth. The most frequently used algorithm for grading of growth rate on conventional radiography was published by Gwilym Lodwick. Based on the evaluation of the four descriptors (1) type of bone destruction (including the subdescriptor “margin” for geographic lesions), (2) penetration of cortex, (3) presence of a sclerotic rim, and (4) expanded shell, an overall growth grade (IA, IB, IC, II, III) can be assigned, with higher grade representing faster tumor growth. In this article, we provide an easy-to-use decision tree of Lodwick’s original grading algorithm, suitable for teaching of students and residents. Subtleties of the grading algorithm and potential pitfalls in clinical practice are explained and illustrated. Exemplary conventional radiographs provided for each descriptor in the decision tree may be used as a guide and atlas for assisting in evaluation of individual features in daily clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00256-021-03868-8. Springer Berlin Heidelberg 2021-07-24 2022 /pmc/articles/PMC8854272/ /pubmed/34302499 http://dx.doi.org/10.1007/s00256-021-03868-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Benndorf, Matthias Bamberg, Fabian Jungmann, Pia M. The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach |
title | The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach |
title_full | The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach |
title_fullStr | The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach |
title_full_unstemmed | The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach |
title_short | The Lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach |
title_sort | lodwick classification for grading growth rate of lytic bone tumors: a decision tree approach |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854272/ https://www.ncbi.nlm.nih.gov/pubmed/34302499 http://dx.doi.org/10.1007/s00256-021-03868-8 |
work_keys_str_mv | AT benndorfmatthias thelodwickclassificationforgradinggrowthrateoflyticbonetumorsadecisiontreeapproach AT bambergfabian thelodwickclassificationforgradinggrowthrateoflyticbonetumorsadecisiontreeapproach AT jungmannpiam thelodwickclassificationforgradinggrowthrateoflyticbonetumorsadecisiontreeapproach AT benndorfmatthias lodwickclassificationforgradinggrowthrateoflyticbonetumorsadecisiontreeapproach AT bambergfabian lodwickclassificationforgradinggrowthrateoflyticbonetumorsadecisiontreeapproach AT jungmannpiam lodwickclassificationforgradinggrowthrateoflyticbonetumorsadecisiontreeapproach |