Cargando…
Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume
BACKGROUND: Breast cancer treatment sometimes causes a chronic swelling of the arm called breast cancer-related lymphedema (BCRL). Its progression is believed to be irreversible and is accompanied by tissue fibrosis and lipidosis, so preventing lymphedema from progressing by appropriate intervention...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615082/ https://www.ncbi.nlm.nih.gov/pubmed/37195670 http://dx.doi.org/10.1089/lrb.2022.0062 |
_version_ | 1785129148136554496 |
---|---|
author | Niwa, Shiori Hisano, Fumiya Mawaki, Ayana Nakanishi, Keisuke Watanabe, Sachiyo Fukuyama, Atsushi Kikumori, Toyone Shimamoto, Kazuhiro Imai, Kuniharu Fujimoto, Etsuko Oshima, Chika |
author_facet | Niwa, Shiori Hisano, Fumiya Mawaki, Ayana Nakanishi, Keisuke Watanabe, Sachiyo Fukuyama, Atsushi Kikumori, Toyone Shimamoto, Kazuhiro Imai, Kuniharu Fujimoto, Etsuko Oshima, Chika |
author_sort | Niwa, Shiori |
collection | PubMed |
description | BACKGROUND: Breast cancer treatment sometimes causes a chronic swelling of the arm called breast cancer-related lymphedema (BCRL). Its progression is believed to be irreversible and is accompanied by tissue fibrosis and lipidosis, so preventing lymphedema from progressing by appropriate intervention at the site of fluid accumulation at an early stage is crucial. The tissue structure can be evaluated in real time by ultrasonography, and this study aims at assessing the ability of fractal analysis using virtual volume in detecting fluid accumulation within BCRL subcutaneous tissue via ultrasound imaging. METHODS AND RESULTS: We worked with 21 women who developed BCRL (International Society of Lymphology stage II) after unilateral breast cancer treatment. Their subcutaneous tissues were scanned with an ultrasound system (Sonosite Edge II; Sonosite, Inc., FUJIFILM) using a 6- to 15-MHz linear transducer. Then, a 3-Tesla MR system was used to confirm fluid accumulation in the corresponding area of the ultrasound system. Significant differences in both H + 2 and complexity were observed among the three groups (with hyperintense area, without hyperintense area, and unaffected side) (p < 0.05). Post hoc analysis (Mann–Whitney U test; Bonferroni correction p < 0.0167) revealed a significant difference for “complexity.” The evaluation of the distribution in Euclidean space showed that the variation of the distribution decreased in the order of unaffected, without hyperintense area, and with hyperintense area. CONCLUSION: The “complexity” of the fractal using virtual volume seems to be an effective indicator of the presence or absence of subcutaneous tissue fluid accumulation in BCRL. |
format | Online Article Text |
id | pubmed-10615082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-106150822023-10-31 Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume Niwa, Shiori Hisano, Fumiya Mawaki, Ayana Nakanishi, Keisuke Watanabe, Sachiyo Fukuyama, Atsushi Kikumori, Toyone Shimamoto, Kazuhiro Imai, Kuniharu Fujimoto, Etsuko Oshima, Chika Lymphat Res Biol Original Articles BACKGROUND: Breast cancer treatment sometimes causes a chronic swelling of the arm called breast cancer-related lymphedema (BCRL). Its progression is believed to be irreversible and is accompanied by tissue fibrosis and lipidosis, so preventing lymphedema from progressing by appropriate intervention at the site of fluid accumulation at an early stage is crucial. The tissue structure can be evaluated in real time by ultrasonography, and this study aims at assessing the ability of fractal analysis using virtual volume in detecting fluid accumulation within BCRL subcutaneous tissue via ultrasound imaging. METHODS AND RESULTS: We worked with 21 women who developed BCRL (International Society of Lymphology stage II) after unilateral breast cancer treatment. Their subcutaneous tissues were scanned with an ultrasound system (Sonosite Edge II; Sonosite, Inc., FUJIFILM) using a 6- to 15-MHz linear transducer. Then, a 3-Tesla MR system was used to confirm fluid accumulation in the corresponding area of the ultrasound system. Significant differences in both H + 2 and complexity were observed among the three groups (with hyperintense area, without hyperintense area, and unaffected side) (p < 0.05). Post hoc analysis (Mann–Whitney U test; Bonferroni correction p < 0.0167) revealed a significant difference for “complexity.” The evaluation of the distribution in Euclidean space showed that the variation of the distribution decreased in the order of unaffected, without hyperintense area, and with hyperintense area. CONCLUSION: The “complexity” of the fractal using virtual volume seems to be an effective indicator of the presence or absence of subcutaneous tissue fluid accumulation in BCRL. Mary Ann Liebert, Inc., publishers 2023-10-01 2023-10-17 /pmc/articles/PMC10615082/ /pubmed/37195670 http://dx.doi.org/10.1089/lrb.2022.0062 Text en © Shiori Niwa et al. 2023; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Niwa, Shiori Hisano, Fumiya Mawaki, Ayana Nakanishi, Keisuke Watanabe, Sachiyo Fukuyama, Atsushi Kikumori, Toyone Shimamoto, Kazuhiro Imai, Kuniharu Fujimoto, Etsuko Oshima, Chika Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume |
title | Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume |
title_full | Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume |
title_fullStr | Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume |
title_full_unstemmed | Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume |
title_short | Exploring Indicators of Subcutaneous Tissue Fluid Accumulation in Breast Cancer-Related Lymphedema Patients Using Fractal Analysis with Virtual Volume |
title_sort | exploring indicators of subcutaneous tissue fluid accumulation in breast cancer-related lymphedema patients using fractal analysis with virtual volume |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615082/ https://www.ncbi.nlm.nih.gov/pubmed/37195670 http://dx.doi.org/10.1089/lrb.2022.0062 |
work_keys_str_mv | AT niwashiori exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT hisanofumiya exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT mawakiayana exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT nakanishikeisuke exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT watanabesachiyo exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT fukuyamaatsushi exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT kikumoritoyone exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT shimamotokazuhiro exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT imaikuniharu exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT fujimotoetsuko exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume AT oshimachika exploringindicatorsofsubcutaneoustissuefluidaccumulationinbreastcancerrelatedlymphedemapatientsusingfractalanalysiswithvirtualvolume |