Cargando…

MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas

BACKGROUND: This study aims to investigate the value of radiomics parameters derived from contrast enhanced (CE) MRI in differentiation of hypovascular non-functional pancreatic neuroendocrine tumors (hypo-NF-pNETs) and solid pseudopapillary neoplasms of the pancreas (SPNs). METHODS: Fifty-seven SPN...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Tao, Zhang, Qian-Wen, Duan, Shao-Feng, Bian, Yun, Hao, Qiang, Xing, Peng-Yi, Wang, Tie-Gong, Chen, Lu-Guang, Ma, Chao, Lu, Jian-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901077/
https://www.ncbi.nlm.nih.gov/pubmed/33622277
http://dx.doi.org/10.1186/s12880-021-00563-x
_version_ 1783654330388185088
author Song, Tao
Zhang, Qian-Wen
Duan, Shao-Feng
Bian, Yun
Hao, Qiang
Xing, Peng-Yi
Wang, Tie-Gong
Chen, Lu-Guang
Ma, Chao
Lu, Jian-Ping
author_facet Song, Tao
Zhang, Qian-Wen
Duan, Shao-Feng
Bian, Yun
Hao, Qiang
Xing, Peng-Yi
Wang, Tie-Gong
Chen, Lu-Guang
Ma, Chao
Lu, Jian-Ping
author_sort Song, Tao
collection PubMed
description BACKGROUND: This study aims to investigate the value of radiomics parameters derived from contrast enhanced (CE) MRI in differentiation of hypovascular non-functional pancreatic neuroendocrine tumors (hypo-NF-pNETs) and solid pseudopapillary neoplasms of the pancreas (SPNs). METHODS: Fifty-seven SPN patients and twenty-two hypo-NF-pNET patients were enrolled. Radiomics features were extracted from T1WI, arterial, portal and delayed phase of MR images. The enrolled patients were divided into training cohort and validation cohort with the 7:3 ratio. We built four radiomics signatures for the four phases respectively and ROC analysis were used to select the best phase to discriminate SPNs from hypo-NF-pNETs. The chosen radiomics signature and clinical independent risk factors were integrated to construct a clinic-radiomics nomogram. RESULTS: SPNs occurred in younger age groups than hypo-NF-pNETs (P < 0.0001) and showed a clear preponderance in females (P = 0.0185). Age was a significant independent factor for the differentiation of SPNs and hypo-NF-pNETs revealed by logistic regression analysis. With AUC values above 0.900 in both training and validation cohort (0.978 [95% CI, 0.942–1.000] in the training set, 0.907 [95% CI, 0.765–1.000] in the validation set), the radiomics signature of the arterial phase was picked to build a clinic-radiomics nomogram. The nomogram, composed by age and radiomics signature of the arterial phase, showed sufficient performance for discriminating SPNs and hypo-NF-pNETs with AUC values of 0.965 (95% CI, 0.923–1.000) and 0.920 (95% CI, 0.796–1.000) in the training and validation cohorts, respectively. Delong Test did not demonstrate statistical significance between the AUC of the clinic-radiomics nomogram and radiomics signature of arterial phase. CONCLUSION: CE-MRI-based radiomics approach demonstrated great potential in the differentiation of hypo-NF-pNETs and SPNs.
format Online
Article
Text
id pubmed-7901077
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-79010772021-02-23 MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas Song, Tao Zhang, Qian-Wen Duan, Shao-Feng Bian, Yun Hao, Qiang Xing, Peng-Yi Wang, Tie-Gong Chen, Lu-Guang Ma, Chao Lu, Jian-Ping BMC Med Imaging Original Research BACKGROUND: This study aims to investigate the value of radiomics parameters derived from contrast enhanced (CE) MRI in differentiation of hypovascular non-functional pancreatic neuroendocrine tumors (hypo-NF-pNETs) and solid pseudopapillary neoplasms of the pancreas (SPNs). METHODS: Fifty-seven SPN patients and twenty-two hypo-NF-pNET patients were enrolled. Radiomics features were extracted from T1WI, arterial, portal and delayed phase of MR images. The enrolled patients were divided into training cohort and validation cohort with the 7:3 ratio. We built four radiomics signatures for the four phases respectively and ROC analysis were used to select the best phase to discriminate SPNs from hypo-NF-pNETs. The chosen radiomics signature and clinical independent risk factors were integrated to construct a clinic-radiomics nomogram. RESULTS: SPNs occurred in younger age groups than hypo-NF-pNETs (P < 0.0001) and showed a clear preponderance in females (P = 0.0185). Age was a significant independent factor for the differentiation of SPNs and hypo-NF-pNETs revealed by logistic regression analysis. With AUC values above 0.900 in both training and validation cohort (0.978 [95% CI, 0.942–1.000] in the training set, 0.907 [95% CI, 0.765–1.000] in the validation set), the radiomics signature of the arterial phase was picked to build a clinic-radiomics nomogram. The nomogram, composed by age and radiomics signature of the arterial phase, showed sufficient performance for discriminating SPNs and hypo-NF-pNETs with AUC values of 0.965 (95% CI, 0.923–1.000) and 0.920 (95% CI, 0.796–1.000) in the training and validation cohorts, respectively. Delong Test did not demonstrate statistical significance between the AUC of the clinic-radiomics nomogram and radiomics signature of arterial phase. CONCLUSION: CE-MRI-based radiomics approach demonstrated great potential in the differentiation of hypo-NF-pNETs and SPNs. BioMed Central 2021-02-23 /pmc/articles/PMC7901077/ /pubmed/33622277 http://dx.doi.org/10.1186/s12880-021-00563-x Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Original Research
Song, Tao
Zhang, Qian-Wen
Duan, Shao-Feng
Bian, Yun
Hao, Qiang
Xing, Peng-Yi
Wang, Tie-Gong
Chen, Lu-Guang
Ma, Chao
Lu, Jian-Ping
MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
title MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
title_full MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
title_fullStr MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
title_full_unstemmed MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
title_short MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
title_sort mri-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901077/
https://www.ncbi.nlm.nih.gov/pubmed/33622277
http://dx.doi.org/10.1186/s12880-021-00563-x
work_keys_str_mv AT songtao mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT zhangqianwen mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT duanshaofeng mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT bianyun mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT haoqiang mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT xingpengyi mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT wangtiegong mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT chenluguang mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT machao mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas
AT lujianping mribasedradiomicsapproachfordifferentiationofhypovascularnonfunctionalpancreaticneuroendocrinetumorsandsolidpseudopapillaryneoplasmsofthepancreas