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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Frontiers Media S.A.
2022-06-01
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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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