Cargando…

Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma

BACKGROUND: Nomograms are currently used in predicting individualized outcomes in clinical oncology of several cancers. However, nomograms for evaluating occult nodal metastasis of patients with squamous cell carcinoma of lateral tongue (SCCLT) have not been widely investigated for their functionali...

Descripción completa

Detalles Bibliográficos
Autores principales: Saenthaveesuk, Pensiri, Yang, Le, Zeng, Bin, Xu, Meng, Young, Simon, Liao, Guiqing, Liang, Yujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048044/
https://www.ncbi.nlm.nih.gov/pubmed/33858377
http://dx.doi.org/10.1186/s12885-021-08135-6
_version_ 1783679161629409280
author Saenthaveesuk, Pensiri
Yang, Le
Zeng, Bin
Xu, Meng
Young, Simon
Liao, Guiqing
Liang, Yujie
author_facet Saenthaveesuk, Pensiri
Yang, Le
Zeng, Bin
Xu, Meng
Young, Simon
Liao, Guiqing
Liang, Yujie
author_sort Saenthaveesuk, Pensiri
collection PubMed
description BACKGROUND: Nomograms are currently used in predicting individualized outcomes in clinical oncology of several cancers. However, nomograms for evaluating occult nodal metastasis of patients with squamous cell carcinoma of lateral tongue (SCCLT) have not been widely investigated for their functionality. This retrospective cohort study was designed to address this question. METHODS: This study was divided into primary and validation cohorts. The primary cohort comprised 120 patients diagnosed between 2012 and 2017, whereas the validation cohort included 41 patients diagnosed thereafter. The diagnostic value of multiparametric MRI, including radiologic tumor thickness threshold (rTTT) in three-dimensions, paralingual distance, and sublingual distance were investigated. A nomogram was developed based on stepwise logistic regression of potential predictors associated with nodal metastasis in the primary cohort and then tested for predictive accuracy in the validation cohort using area under the curve (AUC) and goodness-of-fit tests. RESULTS: Multivariate analysis, tumor size (odd ratio [OR] 15.175, 95% confidence interval [CI] 1.436–160.329, P = 0.024), rTTT (OR 11.528, 95% CI 2.483–53.530, P = 0.002), paralingual distance (OR 11.976, 95% CI 1.981–72.413, P = 0.005), and tumor location (OR 6.311, 95% CI 1.514–26.304, P = 0.011) were included in the nomogram to predict the likelihood of having cervical metastasis. A nomogram cutoff value of 210 points (sensitivity 93.8%, specificity 87.5%) was significantly different to classify the patients metastasis risk group (P < 0.001). Nomogram showed predictive accuracy with AUC 0.881 (95% CI 0.779–0.983, P < 0.001) and good calibration after the validation. CONCLUSIONS: A preoperative nomogram incorporating multiparametric MRI demonstrated good prediction and performed adequately in our study. Three-dimensional assessment of occult metastasis risk value obtained from this nomogram can assist in preoperative decision making for individual patients with early-stage SCCLT. The probability of nodal metastasis tended to be greater than 20% in patients with high metastasis risk or nomogram total score > 210 points.
format Online
Article
Text
id pubmed-8048044
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-80480442021-04-15 Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma Saenthaveesuk, Pensiri Yang, Le Zeng, Bin Xu, Meng Young, Simon Liao, Guiqing Liang, Yujie BMC Cancer Research Article BACKGROUND: Nomograms are currently used in predicting individualized outcomes in clinical oncology of several cancers. However, nomograms for evaluating occult nodal metastasis of patients with squamous cell carcinoma of lateral tongue (SCCLT) have not been widely investigated for their functionality. This retrospective cohort study was designed to address this question. METHODS: This study was divided into primary and validation cohorts. The primary cohort comprised 120 patients diagnosed between 2012 and 2017, whereas the validation cohort included 41 patients diagnosed thereafter. The diagnostic value of multiparametric MRI, including radiologic tumor thickness threshold (rTTT) in three-dimensions, paralingual distance, and sublingual distance were investigated. A nomogram was developed based on stepwise logistic regression of potential predictors associated with nodal metastasis in the primary cohort and then tested for predictive accuracy in the validation cohort using area under the curve (AUC) and goodness-of-fit tests. RESULTS: Multivariate analysis, tumor size (odd ratio [OR] 15.175, 95% confidence interval [CI] 1.436–160.329, P = 0.024), rTTT (OR 11.528, 95% CI 2.483–53.530, P = 0.002), paralingual distance (OR 11.976, 95% CI 1.981–72.413, P = 0.005), and tumor location (OR 6.311, 95% CI 1.514–26.304, P = 0.011) were included in the nomogram to predict the likelihood of having cervical metastasis. A nomogram cutoff value of 210 points (sensitivity 93.8%, specificity 87.5%) was significantly different to classify the patients metastasis risk group (P < 0.001). Nomogram showed predictive accuracy with AUC 0.881 (95% CI 0.779–0.983, P < 0.001) and good calibration after the validation. CONCLUSIONS: A preoperative nomogram incorporating multiparametric MRI demonstrated good prediction and performed adequately in our study. Three-dimensional assessment of occult metastasis risk value obtained from this nomogram can assist in preoperative decision making for individual patients with early-stage SCCLT. The probability of nodal metastasis tended to be greater than 20% in patients with high metastasis risk or nomogram total score > 210 points. BioMed Central 2021-04-15 /pmc/articles/PMC8048044/ /pubmed/33858377 http://dx.doi.org/10.1186/s12885-021-08135-6 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/) . 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 Article
Saenthaveesuk, Pensiri
Yang, Le
Zeng, Bin
Xu, Meng
Young, Simon
Liao, Guiqing
Liang, Yujie
Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma
title Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma
title_full Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma
title_fullStr Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma
title_full_unstemmed Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma
title_short Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma
title_sort development and validation of multiparametric mri-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048044/
https://www.ncbi.nlm.nih.gov/pubmed/33858377
http://dx.doi.org/10.1186/s12885-021-08135-6
work_keys_str_mv AT saenthaveesukpensiri developmentandvalidationofmultiparametricmribasednomogramforpredictingoccultmetastasisriskinearlytonguesquamouscellcarcinoma
AT yangle developmentandvalidationofmultiparametricmribasednomogramforpredictingoccultmetastasisriskinearlytonguesquamouscellcarcinoma
AT zengbin developmentandvalidationofmultiparametricmribasednomogramforpredictingoccultmetastasisriskinearlytonguesquamouscellcarcinoma
AT xumeng developmentandvalidationofmultiparametricmribasednomogramforpredictingoccultmetastasisriskinearlytonguesquamouscellcarcinoma
AT youngsimon developmentandvalidationofmultiparametricmribasednomogramforpredictingoccultmetastasisriskinearlytonguesquamouscellcarcinoma
AT liaoguiqing developmentandvalidationofmultiparametricmribasednomogramforpredictingoccultmetastasisriskinearlytonguesquamouscellcarcinoma
AT liangyujie developmentandvalidationofmultiparametricmribasednomogramforpredictingoccultmetastasisriskinearlytonguesquamouscellcarcinoma