Correlation study between intravoxel incoherent motion MRI and dynamic contrast-enhanced MRI in head and neck squamous cell carcinoma

Evaluation in primary tumors and metastatic nodes

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Objective To correlate intravoxel incoherent motion (IVIM) imaging and dynamic contrast-enhanced (DCE) MRI in head and neck squamous cell carcinoma (HNSCC). Methods Forty untreated patients with HNSCC were included retrospectively in the study. Perfusion fraction f, diffusion coefficient D and perfusion-related diffusion coefficient D* were extracted by bi-exponential fitting of IVIM data. Semi-quantitative DCE-MRI parameters, including positive enhancement integral (PEI) and maximum slope of increase (MSI), were calculated. The relationships between all variables were assessed by Spearman's test for correlation. Results 27 primary tumors (PTs) and 23 lymph nodes (LNs) were analyzed. The residual sum of squares (RSS), used to assess the fit quality, was significantly different between PTs and LNs, with the last showing lower values. In LNs, D* and the product D* × f were positively related to both nPEI and nMSI, while no significant correlation was found in PTs. Conclusion Evident relationships between D* and D* × f and DCE-MRI perfusion measurements were found in LNs, while no significant association emerged in PTs. This presumably is due to the poorer agreement between the experimental data and curve fitting for PTs, as compared to LNs. Additional work is warranted to improve the reliability of the IVIM parameter estimations in primary HNSCCs.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalMagnetic Resonance Imaging
Volume37
DOIs
Publication statusPublished - Apr 1 2017

Fingerprint

Magnetic resonance imaging
Tumors
Lymph Nodes
Perfusion
Neoplasms
Curve fitting
Parameter estimation
Epithelial Cells
Carcinoma, squamous cell of head and neck
Imaging techniques

Keywords

  • Diffusion magnetic resonance imaging
  • Dynamic contrast enhanced magnetic resonance imaging
  • Head and neck neoplasms
  • Intravoxel incoherent motion imaging
  • Perfusion imaging

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

@article{cdfa57178d934198bd71b535b8ab7281,
title = "Correlation study between intravoxel incoherent motion MRI and dynamic contrast-enhanced MRI in head and neck squamous cell carcinoma: Evaluation in primary tumors and metastatic nodes",
abstract = "Objective To correlate intravoxel incoherent motion (IVIM) imaging and dynamic contrast-enhanced (DCE) MRI in head and neck squamous cell carcinoma (HNSCC). Methods Forty untreated patients with HNSCC were included retrospectively in the study. Perfusion fraction f, diffusion coefficient D and perfusion-related diffusion coefficient D* were extracted by bi-exponential fitting of IVIM data. Semi-quantitative DCE-MRI parameters, including positive enhancement integral (PEI) and maximum slope of increase (MSI), were calculated. The relationships between all variables were assessed by Spearman's test for correlation. Results 27 primary tumors (PTs) and 23 lymph nodes (LNs) were analyzed. The residual sum of squares (RSS), used to assess the fit quality, was significantly different between PTs and LNs, with the last showing lower values. In LNs, D* and the product D* × f were positively related to both nPEI and nMSI, while no significant correlation was found in PTs. Conclusion Evident relationships between D* and D* × f and DCE-MRI perfusion measurements were found in LNs, while no significant association emerged in PTs. This presumably is due to the poorer agreement between the experimental data and curve fitting for PTs, as compared to LNs. Additional work is warranted to improve the reliability of the IVIM parameter estimations in primary HNSCCs.",
keywords = "Diffusion magnetic resonance imaging, Dynamic contrast enhanced magnetic resonance imaging, Head and neck neoplasms, Intravoxel incoherent motion imaging, Perfusion imaging",
author = "Simona Marzi and Francesca Piludu and Chiara Forina and Giuseppe Sanguineti and Renato Covello and Giuseppe Spriano and Antonello Vidiri",
year = "2017",
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language = "English",
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T1 - Correlation study between intravoxel incoherent motion MRI and dynamic contrast-enhanced MRI in head and neck squamous cell carcinoma

T2 - Evaluation in primary tumors and metastatic nodes

AU - Marzi, Simona

AU - Piludu, Francesca

AU - Forina, Chiara

AU - Sanguineti, Giuseppe

AU - Covello, Renato

AU - Spriano, Giuseppe

AU - Vidiri, Antonello

PY - 2017/4/1

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N2 - Objective To correlate intravoxel incoherent motion (IVIM) imaging and dynamic contrast-enhanced (DCE) MRI in head and neck squamous cell carcinoma (HNSCC). Methods Forty untreated patients with HNSCC were included retrospectively in the study. Perfusion fraction f, diffusion coefficient D and perfusion-related diffusion coefficient D* were extracted by bi-exponential fitting of IVIM data. Semi-quantitative DCE-MRI parameters, including positive enhancement integral (PEI) and maximum slope of increase (MSI), were calculated. The relationships between all variables were assessed by Spearman's test for correlation. Results 27 primary tumors (PTs) and 23 lymph nodes (LNs) were analyzed. The residual sum of squares (RSS), used to assess the fit quality, was significantly different between PTs and LNs, with the last showing lower values. In LNs, D* and the product D* × f were positively related to both nPEI and nMSI, while no significant correlation was found in PTs. Conclusion Evident relationships between D* and D* × f and DCE-MRI perfusion measurements were found in LNs, while no significant association emerged in PTs. This presumably is due to the poorer agreement between the experimental data and curve fitting for PTs, as compared to LNs. Additional work is warranted to improve the reliability of the IVIM parameter estimations in primary HNSCCs.

AB - Objective To correlate intravoxel incoherent motion (IVIM) imaging and dynamic contrast-enhanced (DCE) MRI in head and neck squamous cell carcinoma (HNSCC). Methods Forty untreated patients with HNSCC were included retrospectively in the study. Perfusion fraction f, diffusion coefficient D and perfusion-related diffusion coefficient D* were extracted by bi-exponential fitting of IVIM data. Semi-quantitative DCE-MRI parameters, including positive enhancement integral (PEI) and maximum slope of increase (MSI), were calculated. The relationships between all variables were assessed by Spearman's test for correlation. Results 27 primary tumors (PTs) and 23 lymph nodes (LNs) were analyzed. The residual sum of squares (RSS), used to assess the fit quality, was significantly different between PTs and LNs, with the last showing lower values. In LNs, D* and the product D* × f were positively related to both nPEI and nMSI, while no significant correlation was found in PTs. Conclusion Evident relationships between D* and D* × f and DCE-MRI perfusion measurements were found in LNs, while no significant association emerged in PTs. This presumably is due to the poorer agreement between the experimental data and curve fitting for PTs, as compared to LNs. Additional work is warranted to improve the reliability of the IVIM parameter estimations in primary HNSCCs.

KW - Diffusion magnetic resonance imaging

KW - Dynamic contrast enhanced magnetic resonance imaging

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