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Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer
BACKGROUND: Distinguishing anorectal malignant melanoma from low rectal cancer remains challenging because of the overlap of clinical symptoms and imaging findings. We aim to investigate whether combining quantitative and qualitative magnetic resonance imaging (MRI) features could differentiate anor...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982618/ https://www.ncbi.nlm.nih.gov/pubmed/35694154 http://dx.doi.org/10.1093/pcmedi/pbab011 |
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author | Xu, Zeyan Zhao, Ke Han, Lujun Li, Pinxiong Shi, Zhenwei Huang, Xiaomei Han, Chu Wang, Huihui Chen, Minglei Liu, Chen Liang, Yanting Li, Suyun Huang, Yanqi Chen, Xin Liang, Changhong Cao, Wuteng Liu, Zaiyi |
author_facet | Xu, Zeyan Zhao, Ke Han, Lujun Li, Pinxiong Shi, Zhenwei Huang, Xiaomei Han, Chu Wang, Huihui Chen, Minglei Liu, Chen Liang, Yanting Li, Suyun Huang, Yanqi Chen, Xin Liang, Changhong Cao, Wuteng Liu, Zaiyi |
author_sort | Xu, Zeyan |
collection | PubMed |
description | BACKGROUND: Distinguishing anorectal malignant melanoma from low rectal cancer remains challenging because of the overlap of clinical symptoms and imaging findings. We aim to investigate whether combining quantitative and qualitative magnetic resonance imaging (MRI) features could differentiate anorectal malignant melanoma from low rectal cancer. METHODS: Thirty-seven anorectal malignant melanoma and 98 low rectal cancer patients who underwent pre-operative rectal MRI from three hospitals were retrospectively enrolled. All patients were divided into the primary cohort (N = 84) and validation cohort (N = 51). Quantitative image analysis was performed on T1-weighted (T1WI), T2-weighted (T2WI), and contrast-enhanced T1-weighted imaging (CE-T1WI). The subjective qualitative MRI findings were evaluated by two radiologists in consensus. Multivariable analysis was performed using stepwise logistic regression. The discrimination performance was assessed by the area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI). RESULTS: The skewness derived from T2WI (T2WI-skewness) showed the best discrimination performance among the entire quantitative image features for differentiating anorectal malignant melanoma from low rectal cancer (primary cohort: AUC = 0.852, 95% CI 0.788–0.916; validation cohort: 0.730, 0.645–0.815). Multivariable analysis indicated that T2WI-skewness and the signal intensity of T1WI were independent factors, and incorporating both factors achieved good discrimination performance in two cohorts (primary cohort: AUC = 0.913, 95% CI 0.868–0.958; validation cohort: 0.902, 0.844–0.960). CONCLUSIONS: Incorporating T2WI-skewness and the signal intensity of T1WI achieved good performance for differentiating anorectal malignant melanoma from low rectal cancer. The quantitative image analysis helps improve diagnostic accuracy. |
format | Online Article Text |
id | pubmed-8982618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89826182022-06-10 Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer Xu, Zeyan Zhao, Ke Han, Lujun Li, Pinxiong Shi, Zhenwei Huang, Xiaomei Han, Chu Wang, Huihui Chen, Minglei Liu, Chen Liang, Yanting Li, Suyun Huang, Yanqi Chen, Xin Liang, Changhong Cao, Wuteng Liu, Zaiyi Precis Clin Med Research Article BACKGROUND: Distinguishing anorectal malignant melanoma from low rectal cancer remains challenging because of the overlap of clinical symptoms and imaging findings. We aim to investigate whether combining quantitative and qualitative magnetic resonance imaging (MRI) features could differentiate anorectal malignant melanoma from low rectal cancer. METHODS: Thirty-seven anorectal malignant melanoma and 98 low rectal cancer patients who underwent pre-operative rectal MRI from three hospitals were retrospectively enrolled. All patients were divided into the primary cohort (N = 84) and validation cohort (N = 51). Quantitative image analysis was performed on T1-weighted (T1WI), T2-weighted (T2WI), and contrast-enhanced T1-weighted imaging (CE-T1WI). The subjective qualitative MRI findings were evaluated by two radiologists in consensus. Multivariable analysis was performed using stepwise logistic regression. The discrimination performance was assessed by the area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI). RESULTS: The skewness derived from T2WI (T2WI-skewness) showed the best discrimination performance among the entire quantitative image features for differentiating anorectal malignant melanoma from low rectal cancer (primary cohort: AUC = 0.852, 95% CI 0.788–0.916; validation cohort: 0.730, 0.645–0.815). Multivariable analysis indicated that T2WI-skewness and the signal intensity of T1WI were independent factors, and incorporating both factors achieved good discrimination performance in two cohorts (primary cohort: AUC = 0.913, 95% CI 0.868–0.958; validation cohort: 0.902, 0.844–0.960). CONCLUSIONS: Incorporating T2WI-skewness and the signal intensity of T1WI achieved good performance for differentiating anorectal malignant melanoma from low rectal cancer. The quantitative image analysis helps improve diagnostic accuracy. Oxford University Press 2021-04-30 /pmc/articles/PMC8982618/ /pubmed/35694154 http://dx.doi.org/10.1093/pcmedi/pbab011 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the West China School of Medicine & West China Hospital of Sichuan University. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Article Xu, Zeyan Zhao, Ke Han, Lujun Li, Pinxiong Shi, Zhenwei Huang, Xiaomei Han, Chu Wang, Huihui Chen, Minglei Liu, Chen Liang, Yanting Li, Suyun Huang, Yanqi Chen, Xin Liang, Changhong Cao, Wuteng Liu, Zaiyi Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer |
title | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer |
title_full | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer |
title_fullStr | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer |
title_full_unstemmed | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer |
title_short | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer |
title_sort | combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982618/ https://www.ncbi.nlm.nih.gov/pubmed/35694154 http://dx.doi.org/10.1093/pcmedi/pbab011 |
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