Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary Study

ObjectivesThe current study evaluates the performance of dual-energy computed tomography (DECT) derived extracellular volume (ECV) fraction based on dual-layer spectral detector CT for diagnosing cervical lymph nodes (LNs) metastasis from papillary thyroid cancer (PTC) and compares it with the value...

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Main Authors: Yan Zhou, Di Geng, Guo-Yi Su, Xing-Biao Chen, Yan Si, Mei-Ping Shen, Xiao-Quan Xu, Fei-Yun Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.851244/full
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author Yan Zhou
Di Geng
Guo-Yi Su
Xing-Biao Chen
Yan Si
Mei-Ping Shen
Xiao-Quan Xu
Fei-Yun Wu
author_facet Yan Zhou
Di Geng
Guo-Yi Su
Xing-Biao Chen
Yan Si
Mei-Ping Shen
Xiao-Quan Xu
Fei-Yun Wu
author_sort Yan Zhou
collection DOAJ
description ObjectivesThe current study evaluates the performance of dual-energy computed tomography (DECT) derived extracellular volume (ECV) fraction based on dual-layer spectral detector CT for diagnosing cervical lymph nodes (LNs) metastasis from papillary thyroid cancer (PTC) and compares it with the value of ECV derived from conventional single-energy CT (SECT).MethodsOne hundred and fifty-seven cervical LNs (81 non-metastatic and 76 metastatic) were recruited. Among them, 59 cervical LNs (27 non-metastatic and 32 metastatic) were affected by cervical root artifact on the contrast-enhanced CT images in the arterial phase. Both the SECT-derived ECV fraction (ECVS) and the DECT-derived ECV fraction (ECVD) were calculated. A Pearson correlation coefficient and a Bland–Altman analysis were performed to evaluate the correlations between ECVD and ECVS. Receiver operator characteristic curves analysis and the Delong method were performed to assess and compare the diagnostic performance.ResultsECVD correlated significantly with ECVS (r = 0.925; p <0.001) with a small bias (−0.6). Metastatic LNs showed significantly higher ECVD (42.41% vs 22.53%, p <0.001) and ECVS (39.18% vs 25.45%, p <0.001) than non-metastatic LNs. By setting an ECVD of 36.45% as the cut-off value, optimal diagnostic performance could be achieved (AUC = 0.813), which was comparable with that of ECVS (cut-off value = 34.99%; AUC = 0.793) (p = 0.265). For LNs affected by cervical root artifact, ECVD also showed favorable efficiency (AUC = 0.756), which was also comparable with that of ECVS (AUC = 0.716) (p = 0.244).ConclusionsECVD showed a significant correlation with ECVS. Compared with ECVS, ECVD showed comparable performance in diagnosing metastatic cervical LNs in PTC patients, even though the LNs were affected by cervical root artifacts on arterial phase CT.
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spelling doaj.art-1b8da97b308d474aa935eed0480e60352022-12-22T00:58:44ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-06-011210.3389/fonc.2022.851244851244Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary StudyYan Zhou0Di Geng1Guo-Yi Su2Xing-Biao Chen3Yan Si4Mei-Ping Shen5Xiao-Quan Xu6Fei-Yun Wu7Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaSection of Clinical Research, Philips Healthcare Ltd, Shanghai, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaObjectivesThe current study evaluates the performance of dual-energy computed tomography (DECT) derived extracellular volume (ECV) fraction based on dual-layer spectral detector CT for diagnosing cervical lymph nodes (LNs) metastasis from papillary thyroid cancer (PTC) and compares it with the value of ECV derived from conventional single-energy CT (SECT).MethodsOne hundred and fifty-seven cervical LNs (81 non-metastatic and 76 metastatic) were recruited. Among them, 59 cervical LNs (27 non-metastatic and 32 metastatic) were affected by cervical root artifact on the contrast-enhanced CT images in the arterial phase. Both the SECT-derived ECV fraction (ECVS) and the DECT-derived ECV fraction (ECVD) were calculated. A Pearson correlation coefficient and a Bland–Altman analysis were performed to evaluate the correlations between ECVD and ECVS. Receiver operator characteristic curves analysis and the Delong method were performed to assess and compare the diagnostic performance.ResultsECVD correlated significantly with ECVS (r = 0.925; p <0.001) with a small bias (−0.6). Metastatic LNs showed significantly higher ECVD (42.41% vs 22.53%, p <0.001) and ECVS (39.18% vs 25.45%, p <0.001) than non-metastatic LNs. By setting an ECVD of 36.45% as the cut-off value, optimal diagnostic performance could be achieved (AUC = 0.813), which was comparable with that of ECVS (cut-off value = 34.99%; AUC = 0.793) (p = 0.265). For LNs affected by cervical root artifact, ECVD also showed favorable efficiency (AUC = 0.756), which was also comparable with that of ECVS (AUC = 0.716) (p = 0.244).ConclusionsECVD showed a significant correlation with ECVS. Compared with ECVS, ECVD showed comparable performance in diagnosing metastatic cervical LNs in PTC patients, even though the LNs were affected by cervical root artifacts on arterial phase CT.https://www.frontiersin.org/articles/10.3389/fonc.2022.851244/fullpapillary thyroid cancerlymph nodemetastasismultidetector computed tomographyextracellular volume
spellingShingle Yan Zhou
Di Geng
Guo-Yi Su
Xing-Biao Chen
Yan Si
Mei-Ping Shen
Xiao-Quan Xu
Fei-Yun Wu
Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary Study
Frontiers in Oncology
papillary thyroid cancer
lymph node
metastasis
multidetector computed tomography
extracellular volume
title Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary Study
title_full Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary Study
title_fullStr Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary Study
title_full_unstemmed Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary Study
title_short Extracellular Volume Fraction Derived From Dual-Layer Spectral Detector Computed Tomography for Diagnosing Cervical Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer: A Preliminary Study
title_sort extracellular volume fraction derived from dual layer spectral detector computed tomography for diagnosing cervical lymph nodes metastasis in patients with papillary thyroid cancer a preliminary study
topic papillary thyroid cancer
lymph node
metastasis
multidetector computed tomography
extracellular volume
url https://www.frontiersin.org/articles/10.3389/fonc.2022.851244/full
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