Simona Marzi1, Francesca Piludu2, Chiara Forina3, Giuseppe Sanguineti4, Renato Covello5, Giuseppe Spriano6, Antonello Vidiri2. 1. Medical Physics Laboratory, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy. Electronic address: simona.marzi@ifo.gov.it. 2. Radiology and Diagnostic Imaging Department, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy. 3. Medical Physics Laboratory, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy. 4. Department of Radiotherapy, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy. 5. Department of Pathology, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy. 6. Department of Otolaryngology & Head and Neck Surgery, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy.
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. Copyright Â
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. Copyright Â
Authors: Miriam E Peckham; Jeffrey S Anderson; Ulrich A Rassner; Lubdha M Shah; Peter J Hinckley; Adam de Havenon; Seong-Eun Kim; J Scott McNally Journal: Crit Care Date: 2018-06-20 Impact factor: 9.097
Authors: Roland M Martens; Thomas Koopman; Cristina Lavini; Meedie Ali; Carel F W Peeters; Daniel P Noij; Gerben Zwezerijnen; J Tim Marcus; Marije R Vergeer; C René Leemans; Remco de Bree; Pim de Graaf; Ronald Boellaard; Jonas A Castelijns Journal: Eur Radiol Date: 2020-08-26 Impact factor: 5.315