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The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer

BACKGROUND: This study aims to estimate the amount of axillary lymph node (ALN) involvement in early-stage breast cancer utilizing a field of view (FOV) optimized and constrained undistorted single-shot (FOCUS) diffusion-weighted imaging (DWI) approach, as well as a whole-lesion histogram analysis....

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Autores principales: Fang, Shu, Zhu, Jun, Wang, Yafeng, Zhou, Jie, Wang, Guiqian, Xu, Weiwei, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464403/
https://www.ncbi.nlm.nih.gov/pubmed/36088299
http://dx.doi.org/10.1186/s12880-022-00891-6
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author Fang, Shu
Zhu, Jun
Wang, Yafeng
Zhou, Jie
Wang, Guiqian
Xu, Weiwei
Zhang, Wei
author_facet Fang, Shu
Zhu, Jun
Wang, Yafeng
Zhou, Jie
Wang, Guiqian
Xu, Weiwei
Zhang, Wei
author_sort Fang, Shu
collection PubMed
description BACKGROUND: This study aims to estimate the amount of axillary lymph node (ALN) involvement in early-stage breast cancer utilizing a field of view (FOV) optimized and constrained undistorted single-shot (FOCUS) diffusion-weighted imaging (DWI) approach, as well as a whole-lesion histogram analysis. METHODS: This retrospective analysis involved 81 individuals with invasive breast cancer. The patients were divided into three groups: N(0) (negative ALN metastasis), N(1–2) (low metastatic burden with 1–2 ALNs), and N(≥3) (heavy metastatic burden with ≥ 3 ALNs) based on their sentinel lymph node biopsy (SLNB) or axillary lymph node dissection (ALND). Histogram parameters of apparent diffusion coefficient (ADC) depending basically on FOCUS DWI were performed using 3D-Slicer software for whole lesions. The typical histogram characteristics for N(0), N(1–2), and N(≥ 3) were compared to identify the significantly different parameters. To determine the diagnostic efficacy of significantly different factors, the area under their receiver operating characteristic (ROC) curves was examined. RESULTS: There were significant differences in the energy, maximum, 90 percentile, range, and lesion size among N(0), N(1–2), and N(≥ 3) groups (P < 0.05). The energy differed significantly between N(0) and N(1–2) groups (P < 0.05), and some certain ADC histogram parameters and lesion sizes differed significantly between N(0) and N(≥3), or N(1–2) and N(≥3) groups. For ROC analysis, the energy yielded the best diagnostic performance in distinguishing N(0) and N(1–2) groups from N(≥3) group with an AUC value of0.853. All parameters revealed excellent inter-observer agreement with inter-reader consistencies data ranging from0.919 to 0.982. CONCLUSION: By employing FOCUS DWI method, the analysis of whole-lesion ADC histogram quantitatively provides a non-invasive way to evaluate the degree of ALN metastatic spread in early-stage breast cancer.
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spelling pubmed-94644032022-09-12 The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer Fang, Shu Zhu, Jun Wang, Yafeng Zhou, Jie Wang, Guiqian Xu, Weiwei Zhang, Wei BMC Med Imaging Research BACKGROUND: This study aims to estimate the amount of axillary lymph node (ALN) involvement in early-stage breast cancer utilizing a field of view (FOV) optimized and constrained undistorted single-shot (FOCUS) diffusion-weighted imaging (DWI) approach, as well as a whole-lesion histogram analysis. METHODS: This retrospective analysis involved 81 individuals with invasive breast cancer. The patients were divided into three groups: N(0) (negative ALN metastasis), N(1–2) (low metastatic burden with 1–2 ALNs), and N(≥3) (heavy metastatic burden with ≥ 3 ALNs) based on their sentinel lymph node biopsy (SLNB) or axillary lymph node dissection (ALND). Histogram parameters of apparent diffusion coefficient (ADC) depending basically on FOCUS DWI were performed using 3D-Slicer software for whole lesions. The typical histogram characteristics for N(0), N(1–2), and N(≥ 3) were compared to identify the significantly different parameters. To determine the diagnostic efficacy of significantly different factors, the area under their receiver operating characteristic (ROC) curves was examined. RESULTS: There were significant differences in the energy, maximum, 90 percentile, range, and lesion size among N(0), N(1–2), and N(≥ 3) groups (P < 0.05). The energy differed significantly between N(0) and N(1–2) groups (P < 0.05), and some certain ADC histogram parameters and lesion sizes differed significantly between N(0) and N(≥3), or N(1–2) and N(≥3) groups. For ROC analysis, the energy yielded the best diagnostic performance in distinguishing N(0) and N(1–2) groups from N(≥3) group with an AUC value of0.853. All parameters revealed excellent inter-observer agreement with inter-reader consistencies data ranging from0.919 to 0.982. CONCLUSION: By employing FOCUS DWI method, the analysis of whole-lesion ADC histogram quantitatively provides a non-invasive way to evaluate the degree of ALN metastatic spread in early-stage breast cancer. BioMed Central 2022-09-10 /pmc/articles/PMC9464403/ /pubmed/36088299 http://dx.doi.org/10.1186/s12880-022-00891-6 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fang, Shu
Zhu, Jun
Wang, Yafeng
Zhou, Jie
Wang, Guiqian
Xu, Weiwei
Zhang, Wei
The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer
title The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer
title_full The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer
title_fullStr The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer
title_full_unstemmed The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer
title_short The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer
title_sort value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (focus) dwi for predicting axillary lymph node status in early-stage breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464403/
https://www.ncbi.nlm.nih.gov/pubmed/36088299
http://dx.doi.org/10.1186/s12880-022-00891-6
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