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Lathika AG, Jayasankaran SC, Chelakkot PG, Thankappan K, Moorthy S. Diagnostic efficacy of dynamic contrast-enhanced magnetic resonance perfusion imaging in detecting local tumor recurrence in patients with head and neck malignancies after definitive treatment. J Cancer Res Ther 2024; 20:793-801. [PMID: 39023585 DOI: 10.4103/jcrt.jcrt_1775_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/14/2022] [Indexed: 07/20/2024]
Abstract
BACKGROUND AND AIM Accurate interpretation of post-treatment imaging in head and neck malignancies poses a challenge due to treatment sequelae. Magnetic resonance (MR) perfusion helps in this scenario by evaluating the hemodynamic characteristics of lesions. This study aimed to elucidate the diagnostic efficacy of dynamic contrast-enhanced (DCE)-MR perfusion imaging in detecting recurrence in patients after they underwent definitive treatment for head and neck tumors. MATERIALS AND METHODS Thirty patients who had received definitive curative-intent treatment for histopathology-proven malignant head and neck tumors and in whom recurrent tumor was detected on precontrast MR imaging (MRI) were accrued in the study. Patients underwent DCE-MR perfusion imaging. Time to peak (TTP), relative maximum enhancement (RME), and relative washout (RWO) ratio were calculated by using time-intensity curve (TIC). The diagnostic accuracy was compared with histopathology. RESULTS A cut-off value of ≥125.3 for RME showed a sensitivity of 76.2% and specificity of 66.7% for differentiating post-radiation changes and recurrence. The optimal cut-off for RWO ratio was ≥-6.24 with a sensitivity of 76.2% and specificity of 55.6%. The optimal cut-off of TTP was ≤45.8 s with a sensitivity of 61.9% and specificity of 77.8%. Diagnostic accuracies of RME, RWO, and TTP were 73.3%, 70%, and 66.7%, respectively. CONCLUSIONS DCE-MRI had significant diagnostic accuracy in detecting and differentiating recurrences. TIC analysis of high-temporal resolution DCE-MRI can provide information regarding microcirculation of tumors, and hence can be considered as an imaging modality of choice for assessment of early local tumor recurrence in head and neck tumors.
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Affiliation(s)
- Anand G Lathika
- Department of Radiology, S P Multi-Speciality Hospital, Thiruvananthapuram, Kerala, India
| | - Sandya C Jayasankaran
- Department of Radiology, Amrita Institute of Medical Sciences, Amrita University, Kochi, Kerala, India
| | - Prameela G Chelakkot
- Department of Radiation Oncology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India
| | - Krishnakumar Thankappan
- Department of Head and Neck Surgery, Amrita Institute of Medical Sciences, Amrita University, Kochi, Kerala, India
| | - Srikanth Moorthy
- Department of Radiology, Amrita Institute of Medical Sciences, Amrita University, Kochi, Kerala, India
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2
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Baba A, Kurokawa R, Rivera-de Choudens R, Kurokawa M, Ota Y, Srinivasan A. Diffusion and Perfusion Imaging in Post-Treatment Evaluation of the Head and Neck. Semin Roentgenol 2023; 58:347-354. [PMID: 37507174 DOI: 10.1053/j.ro.2023.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/27/2023] [Accepted: 02/25/2023] [Indexed: 07/30/2023]
Affiliation(s)
- Akira Baba
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, 48109
| | - Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, 48109
| | | | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, 48109
| | - Yoshiaki Ota
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, 48109
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, 48109.
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3
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Ucisik FE, Huell D, Choi J, Gidley PW, DeMonte F, Hanna EY, Learned KO. Post-Treatment Imaging Evaluation of the Skull Base. Semin Roentgenol 2023; 58:217-236. [PMID: 37507165 DOI: 10.1053/j.ro.2023.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 03/09/2023] [Accepted: 03/22/2023] [Indexed: 07/30/2023]
Affiliation(s)
- F Eymen Ucisik
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Derek Huell
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jeanie Choi
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Paul W Gidley
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Franco DeMonte
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Ehab Y Hanna
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Kim O Learned
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
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Contemporary Imaging and Reporting Strategies for Head and Neck Cancer: MRI, FDG PET/MRI, NI-RADS, and Carcinoma of Unknown Primary- AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2023; 220:160-172. [PMID: 36069482 DOI: 10.2214/ajr.22.28120] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
CT, MRI, and FDG PET/CT play major roles in the diagnosis, staging, treatment planning, and surveillance of head and neck cancers. Nonetheless, an evolving understanding of head and neck cancer pathogenesis, advances in imaging techniques, changing treatment regimens, and a lack of standardized guidelines have led to areas of uncertainty in the imaging of head and neck cancer. This narrative review aims to address four issues in the contemporary imaging of head and neck cancer. The first issue relates to the standard and advanced sequences that should be included in MRI protocols for head and neck cancer imaging. The second issue relates to approaches to surveillance imaging after treatment of head and neck cancer, including the choice of imaging modality, the frequency of surveillance imaging, and the role of standardized reporting through the Neck Imaging Reporting and Data System. The third issue relates to the role of imaging in the setting of neck carcinoma of unknown primary. The fourth issue relates to the role of simultaneous PET/MRI in head and neck cancer evaluation. The authors of this review provide consensus opinions for each issue.
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Shah D, Gehani A, Mahajan A, Chakrabarty N. Advanced Techniques in Head and Neck Cancer Imaging: Guide to Precision Cancer Management. Crit Rev Oncog 2023; 28:45-62. [PMID: 37830215 DOI: 10.1615/critrevoncog.2023047799] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Precision treatment requires precision imaging. With the advent of various advanced techniques in head and neck cancer treatment, imaging has become an integral part of the multidisciplinary approach to head and neck cancer care from diagnosis to staging and also plays a vital role in response evaluation in various tumors. Conventional anatomic imaging (CT scan, MRI, ultrasound) remains basic and focuses on defining the anatomical extent of the disease and its spread. Accurate assessment of the biological behavior of tumors, including tumor cellularity, growth, and response evaluation, is evolving with recent advances in molecular, functional, and hybrid/multiplex imaging. Integration of these various advanced diagnostic imaging and nonimaging methods aids understanding of cancer pathophysiology and provides a more comprehensive evaluation in this era of precision treatment. Here we discuss the current status of various advanced imaging techniques and their applications in head and neck cancer imaging.
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Affiliation(s)
- Diva Shah
- Senior Consultant Radiologist, Department of Radiodiagnosis, HCG Cancer Centre, Ahmedabad, 380060, Gujarat, India
| | - Anisha Gehani
- Department of Radiology and Imaging Sciences, Tata Medical Centre, New Town, WB 700160, India
| | - Abhishek Mahajan
- Department of Radiology, The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, L7 8YA, United Kingdom
| | - Nivedita Chakrabarty
- Department of Radiodiagnosis, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), 400012, Mumbai, India
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6
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Vidiri A, Ascione A, Piludu F, Polito E, Gallo E, Covello R, Nisticò P, Balzano V, Pichi B, Pellini R, Marzi S. Microenvironmental Factors in Oral Cavity Squamous Cell Carcinoma Undergoing Surgery: Correlation with Diffusion Kurtosis Imaging and Dynamic Contrast-Enhanced MRI. Cancers (Basel) 2022; 15:cancers15010015. [PMID: 36612011 PMCID: PMC9817509 DOI: 10.3390/cancers15010015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/14/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND In this prospective study, we hypothesized that magnetic resonance imaging (MRI) may represent not only the tumor but also the microenvironment, reflecting the heterogeneity and microstructural complexity of neoplasms. We investigated the correlation between both diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced (DCE)-MRI with the pathological factors in oral cavity squamous cell carcinomas (OSCCs). METHODS A total of 37 patients with newly diagnosed OSCCs underwent an MR examination on a 3T system. The diffusion coefficient (D), the kurtosis parameter (K), the transfer constants Ktrans and Kep and the volume of extravascular extracellular space ve were quantified. A histogram-based approach was proposed to investigate the associations between the imaging and the pathological factors based on the histology and immunochemistry. RESULTS Significant differences in the DCE-MRI and DKI parameters were found in relation to the inflammatory infiltrate, tumor grading, keratinization and desmoplastic reaction. Relevant relationships emerged between tumor-infiltrating lymphocytes (TILs) and DKI, with lower D and higher K values being associated with increased TILs. CONCLUSION Although a further investigation is needed, these findings provide a more comprehensive biological characterization of OSCCs and may contribute to a better understanding of DKI-derived parameters, whose biophysical meaning is still not well-defined.
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Affiliation(s)
- Antonello Vidiri
- Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
- Correspondence: ; Tel.: +39-5266-2731
| | - Andrea Ascione
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Francesca Piludu
- Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
| | - Eleonora Polito
- Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
- Scuola di Specializzazione in Radiodiagnostica, Sapienza Università di Roma—Policlinico Umberto I, Viale Regina Elena 324, 00161 Rome, Italy
| | - Enzo Gallo
- Pathology Department, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
| | - Renato Covello
- Pathology Department, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
| | - Paola Nisticò
- Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
| | - Vittoria Balzano
- Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
| | - Barbara Pichi
- Otolaryngology & Head and Neck Surgery, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
| | - Raul Pellini
- Otolaryngology & Head and Neck Surgery, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
| | - Simona Marzi
- Medical Physics Laboratory, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
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7
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Mui AW, Lee AW, Ng W, Lee VH, Vardhanabhuti V, Man SS, Chua DT, Guan X. Correlations of tumour permeability parameters with apparent diffusion coefficient in nasopharyngeal carcinoma. Phys Imaging Radiat Oncol 2022; 24:30-35. [PMID: 36148154 PMCID: PMC9485900 DOI: 10.1016/j.phro.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 09/06/2022] [Accepted: 09/06/2022] [Indexed: 11/03/2022] Open
Abstract
Vascular permeability is associated with diffusability in nasopharyngeal tumour. Both influx and reflux rates have inverse linear correlations with ADC. Reflux rate has the strongest inverse linear correlation with ADC.
Background and Purpose Functional imaging has an established role in therapeutic monitoring of cancer treatments. This study evaluated the correlations of tumour permeability parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and tumour cellularity derived from apparent diffusion coefficient (ADC) in nasopharyngeal carcinoma (NPC). Material and Methods Twenty NPC patients were examined with DCE-MRI and RESOLVE diffusion-weighted MRI (DW-MRI). Tumour permeability parameters were quantitatively measured with Tofts compartment model. Volume transfer constant (Ktrans), volume of extravascular extracellular space (EES) per unit volume of tissue (Ve), and the flux rate constant between EES and plasma (Kep) from DCE-MRI scan were measured. The time-intensity curve was plotted from the 60 dynamic phases of DCE-MRI. The initial area under the curve for the first 60 s of the contrast agent arrival (iAUC60) was also calculated. They were compared with the ADC value derived from DW-MRI with Pearson correlation analyses. Results Among the DCE-MRI permeability parameters, Kep had higher linearity in inverse correlation with ADC value (r = −0.69, p = <0.05). Ktrans (r = −0.60, p=<0.05) and iAUC60 (r = −0.64, p = <0.05) also had significant inverse correlations with ADC. Ve showed a significant positive correlation with ADC (r = 0.63, p = <0.05). Conclusions Nasopharyngeal tumour vascular permeability parameters derived from DCE-MRI scan were correlated linearly with tumour cellularity measured by free water diffusability with ADC. The clinical implementations of these linear correlations in the quantitative assessments of therapeutic response for NPC patients may be worth to further explore.
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Baba A, Kurokawa R, Rawie E, Kurokawa M, Ota Y, Srinivasan A. Normalized Parameters of Dynamic Contrast-Enhanced Perfusion MRI and DWI-ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer. AJNR Am J Neuroradiol 2022; 43:1184-1189. [PMID: 35835592 PMCID: PMC9575415 DOI: 10.3174/ajnr.a7567] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/22/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE Differentiating recurrence from benign posttreatment changes has clinical importance in the imaging follow-up of head and neck cancer. This study aimed to investigate the utility of normalized dynamic contrast-enhanced MR imaging and ADC for their differentiation. MATERIALS AND METHODS This study included 51 patients with a history of head and neck cancer who underwent follow-up dynamic contrast-enhanced MR imaging with DWI-ADC, of whom 25 had recurrences and 26 had benign posttreatment changes. Quantitative and semiquantitative dynamic contrast-enhanced MR imaging parameters and ADC of the ROI and reference region were analyzed. Normalized dynamic contrast-enhanced MR imaging parameters and normalized DWI-ADC parameters were calculated by dividing the ROI by the reference region. RESULTS Normalized plasma volume, volume transfer constant between extravascular extracellular space and blood plasma per minute (K trans), area under the curve, and wash-in were significantly higher in patients with recurrence than in those with benign posttreatment change (P = .003 to <.001). The normalized mean ADC was significantly lower in patients with recurrence than in those with benign posttreatment change (P < .001). The area under the receiver operating characteristic curve of the combination of normalized dynamic contrast-enhanced MR imaging parameters with significance (normalized plasma volume, normalized extravascular extracellular space volume per unit tissue volume, normalized K trans, normalized area under the curve, and normalized wash-in) and normalized mean ADC was 0.97 (95% CI, 0.93-1). CONCLUSIONS Normalized dynamic contrast-enhanced MR imaging parameters, normalized mean ADC, and their combination were effective in differentiating recurrence and benign posttreatment changes in head and neck cancer.
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Affiliation(s)
- A Baba
- From the Division of Neuroradiology (A.B., R.K., M.K., Y.O., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - R Kurokawa
- From the Division of Neuroradiology (A.B., R.K., M.K., Y.O., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - E Rawie
- Department of Radiology (E.R.), Brooke Army Medical Center, San Antonio, Texas
| | - M Kurokawa
- From the Division of Neuroradiology (A.B., R.K., M.K., Y.O., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - Y Ota
- From the Division of Neuroradiology (A.B., R.K., M.K., Y.O., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - A Srinivasan
- From the Division of Neuroradiology (A.B., R.K., M.K., Y.O., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
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9
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Lobo R, Turk S, Bapuraj JR, Srinivasan A. Advanced CT and MR Imaging of the Posttreatment Head and Neck. Neuroimaging Clin N Am 2021; 32:133-144. [PMID: 34809834 DOI: 10.1016/j.nic.2021.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Advances in MR and computed tomography (CT) techniques have resulted in greater fidelity in the assessment of treatment response and residual tumor on one hand and the assessment of recurrent head and neck malignancies on the other hand. The advances in MR techniques primarily are related to diffusion and perfusion imaging which rely on the intrinsic architecture of the tissues and organ systems. The techniques exploit the density of the cellular architecture; and the vascularity of benign and malignant lesions which in turn affect the changes in the passage of contrast through the vascular bed. Dual-energy CT and CT perfusion are the major advances in CT techniques that have found significant applications in the assessment of treatment response and tumor recurrence.
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Affiliation(s)
- Remy Lobo
- Neuroradiology Division, Radiology, Michigan Medicine, 1500 E Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Sevcan Turk
- Neuroradiology Division, Radiology, Michigan Medicine, 1500 E Medical Center Drive, Ann Arbor, MI 48109, USA
| | - J Rajiv Bapuraj
- Neuroradiology Division, Radiology, Michigan Medicine, 1500 E Medical Center Drive, B2A209, Ann Arbor, MI 48109, USA
| | - Ashok Srinivasan
- Neuroradiology Division, Radiology, Michigan Medicine, 1500 E Medical Center Drive, B2A209, Ann Arbor, MI 48109, USA.
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Arsovic E, Montava M, Fakhry N, Lavieille JP, Pacak K, Taïeb D, Varoquaux A. Quantitative biomarkers allow the diagnosis of head and neck paraganglioma on multiparametric MRI. Eur J Radiol 2021; 143:109911. [PMID: 34508941 DOI: 10.1016/j.ejrad.2021.109911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/03/2021] [Accepted: 08/11/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE The aim of this study is to identify quantitative MR biomarkers in head and neck paragangliomas. METHODS The study was approved by an institutional review board. A retrospective review of patients with head and neck paragangliomas (HNPGL) evaluated by time-resolved MRA sequences between 2009 and 2019 was performed. A control group investigated during the same period was analyzed, including nerve sheath tumors and metastatic lymph nodes from squamous cell carcinomas or undifferentiated nasopharyngeal cancer (UCNT). A gold standard was obtained for all cases. Semi-quantitative parameters of enhancement were extracted from time-intensity curves on time-resolved MRA sequences and diffusion weighted imaging/DWI was assessed for each lesion. RESULTS Sixty head and neck paragangliomas (HNPGLs) were included from 50 patients. The control group consisted of 30 parapharyngeal space lesions (27 patients), which included nerve sheath tumors (n = 12) and metastatic lymph nodes (n = 18) from squamous cell carcinomas or UCNT. PGLs showed a shorter time-to-peak value compared to other groups, measured at 25.0 +/- 29 sec. The wash-in and wash-out ratios were also significantly higher for PGLs, respectively measured at 5.34 ± 2.99 (p < 0,001) and 1.24 ± 0.80 (p < 0.001). On DWI sequences, the mean ADC value for PGLs (1.17 ± 0.19 10^-3 mm2/s) was significantly different than the other tumor groups (p < 0.001). HNPGLs were clearly distinguishable from other tumors on classification with regression tree based on TTP and ADC values. These distinct group features were also consistent on principal component analysis. CONCLUSION Our study identifies a multiparametric signature for disease subtyping, providing a strong impetus for switching from qualitative to quantitative analysis of deep soft-tissue tumors of the neck.
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Affiliation(s)
- Emina Arsovic
- Department of Nuclear Medicine, La Timone University Hospital, CERIMED, Aix-Marseille University, France
| | - Marion Montava
- Department of Head and Neck Surgery, Conception Hospital, Aix-Marseille Univ, France
| | - Nicolas Fakhry
- Department of Head and Neck Surgery, Conception Hospital, Aix-Marseille Univ, France
| | - Jean-Pierre Lavieille
- Department of Head and Neck Surgery, Conception Hospital, Aix-Marseille Univ, France
| | - Karel Pacak
- Section on Medical Neuroendocrinology, Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD), National Institutes of Health, Bethesda, MD 20892, USA
| | - David Taïeb
- Department of Nuclear Medicine, La Timone University Hospital, CERIMED, Aix-Marseille University, France
| | - Arthur Varoquaux
- Department of Medical Imaging, Conception University Hospital, Aix-Marseille Univ, France; Center for Magnetic Resonance in Biology and Medicine, UMR 7339, La Timone University Hospital, Aix-Marseille Univ, France.
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11
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López F, Mäkitie A, de Bree R, Franchi A, de Graaf P, Hernández-Prera JC, Strojan P, Zidar N, Strojan Fležar M, Rodrigo JP, Rinaldo A, Centeno BA, Ferlito A. Qualitative and Quantitative Diagnosis in Head and Neck Cancer. Diagnostics (Basel) 2021; 11:diagnostics11091526. [PMID: 34573868 PMCID: PMC8466857 DOI: 10.3390/diagnostics11091526] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 08/14/2021] [Accepted: 08/20/2021] [Indexed: 12/11/2022] Open
Abstract
The diagnosis is the art of determining the nature of a disease, and an accurate diagnosis is the true cornerstone on which rational treatment should be built. Within the workflow in the management of head and neck tumours, there are different types of diagnosis. The purpose of this work is to point out the differences and the aims of the different types of diagnoses and to highlight their importance in the management of patients with head and neck tumours. Qualitative diagnosis is performed by a pathologist and is essential in determining the management and can provide guidance on prognosis. The evolution of immunohistochemistry and molecular biology techniques has made it possible to obtain more precise diagnoses and to identify prognostic markers and precision factors. Quantitative diagnosis is made by the radiologist and consists of identifying a mass lesion and the estimation of the tumour volume and extent using imaging techniques, such as CT, MRI, and PET. The distinction between the two types of diagnosis is clear, as the methodology is different. The accurate establishment of both diagnoses plays an essential role in treatment planning. Getting the right diagnosis is a key aspect of health care, and it provides an explanation of a patient’s health problem and informs subsequent decision. Deep learning and radiomics approaches hold promise for improving diagnosis.
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Affiliation(s)
- Fernando López
- Department of Otorhinolaryngology, Head and Neck Surgery, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain;
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias (IUOPA), University of Oviedo CIBERONC-ISCIII, 33011 Oviedo, Spain
- Correspondence:
| | - Antti Mäkitie
- Department of Otorhinolaryngology–Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, 00029 Helsinki, Finland;
| | - Remco de Bree
- Department of Head and Neck Surgical Oncology, University Medical Center Utrecht, 3584CX Utrecht, The Netherlands;
| | - Alessandro Franchi
- Department of Translational Research, School of Medicine, University of Pisa, 56124 Pisa, Italy;
| | - Pim de Graaf
- Cancer Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands;
| | | | - Primoz Strojan
- Department of Radiation Oncology, Institute of Oncology, 1000 Ljubljana, Slovenia;
| | - Nina Zidar
- Department of Head and Neck Pathology, Faculty of Medicine, Institute of Pathology, University of Ljubljana, 1000 Ljubljana, Slovenia;
| | - Margareta Strojan Fležar
- Department of Cytopathology, Faculty of Medicine, Institute of Pathology, University of Ljubljana, 1000 Ljubljana, Slovenia;
| | - Juan P. Rodrigo
- Department of Otorhinolaryngology, Head and Neck Surgery, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain;
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias (IUOPA), University of Oviedo CIBERONC-ISCIII, 33011 Oviedo, Spain
| | | | - Barbara A. Centeno
- Department of Pathology, Moffitt Cancer Center, Tampa, FL 33612, USA; (J.C.H.-P.); (B.A.C.)
| | - Alfio Ferlito
- Coordinator of the International Head and Neck Scientific Group, 35100 Padua, Italy;
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12
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MRI Dynamic Contrast Imaging of Oral Cavity and Oropharyngeal Tumors. Top Magn Reson Imaging 2021; 30:97-104. [PMID: 33828061 DOI: 10.1097/rmr.0000000000000283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
ABSTRACT In the past decade, dynamic contrast-enhanced magnetic resonance imaging has had an increasing role in assessing the microvascular characteristics of various tumors, including head and neck cancer. Dynamic contrast-enhanced magnetic resonance imaging allows noninvasive assessment of permeability and blood flow, both important parametric features of tumor hypoxia, which is in turn a marker for treatment resistance for head and neck cancer.In this article we will provide a comprehensive review technique in evaluating tumor proliferation and application of its parameters in differentiating between various tumor types of the oral cavity and how its parameters can correlate between epidermal growth factor receptor and human papillomavirus which can have an implication in patient's overall survival rates.We will also review how the parameters of this method can predict local tumor control after treatment and compare its efficacy with other imaging modalities. Lastly, we will review how its parameters can be used prospectively to identify early complications from treatment.
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13
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The Additional Value of Ultrafast DCE-MRI to DWI-MRI and 18F-FDG-PET to Detect Occult Primary Head and Neck Squamous Cell Carcinoma. Cancers (Basel) 2020; 12:cancers12102826. [PMID: 33007978 PMCID: PMC7600235 DOI: 10.3390/cancers12102826] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 09/22/2020] [Accepted: 09/29/2020] [Indexed: 12/27/2022] Open
Abstract
Simple Summary Patients with cervical lymph node metastasis from squamous cell carcinoma undergo extensive irradiation or surgery of the head and neck with higher treatment morbidity, recurrence rate and lower overall survival than patients with overt primary tumor. In order to enhance treatment efficiency and morbidity reduction, the primary tumor detection accuracy was evaluated by using Ultrafast-Dynamic Contrast-Enhancement (DCE-)MRI in addition to Diffusion-Weighted (DW-)MRI and 18F-FDG-PET/CT imaging. Ultrafast-DCE, with a temporal resolution of 4 s, enabled capturing lesions with increased neoangiogenesis or perfusion compared to normal tissue. The use of Ultra-fast DCE resulted in higher confidence for suspicious locations and high observer agreement. Ultrafast-DCE showed potential to improve detection of unknown primary tumors in addition to DWI and 18F-FDG-PET/CT in patients with cervical squamous cell carcinoma lymph node metastasis. The combined use of ultrafast-DCE, DWI and 18F-FDG-PET/CT yielded highest sensitivity. Abstract To evaluate diagnostic accuracy of qualitative analysis and interobserver agreement of single ultrafast-DCE, DWI or 18F-FDG-PET and the combination of modalities for the detection of unknown primary tumor (UPT) in patients presenting with cervical lymph node metastasis from squamous cell carcinoma (SCC). Between 2014–2019, patients with histologically proven cervical lymph node metastasis of UPT SCC were prospectively included and underwent DWI, ultrafast-DCE, and 18F-FDG-PET/CT. Qualitative assessment was performed by two observers per modality. Interobserver agreement was calculated using the proportion specific agreement. Diagnostic accuracy of combined use of DWI, ultrafast-DCE and 18F-FDG-PET/CT was assessed. Twenty-nine patients were included (20 males. [68%], median age 60 years). Nine (31%) primary tumors remained occult. Ultrafast-DCE added reader confidence for suspicious locations (one additional true positive (5%), 2 decisive true malignant (10%). The per-location analysis showed highest specific positive agreement for ultrafast-DCE (77.6%). The per-location rating showed highest sensitivity (95%, 95%CI = 75.1–99.9, YI = 0.814) when either one of all modalities was scored positive, and 97.4% (95%CI = 93.5–99.3, YI = 0.774) specificity when co-detected on all. The per-patient analysis showed highest sensitivity (100%) for 18F-FDG-PET/CT (YI = 0.222) and either DWI or PET (YI = 0.111). Despite highest trends, no significant differences were found. The per-patient analysis showed highest specific positive agreement when co-detected on all modalities (55.6%, 95%CI = 21.2–86.3, YI = 0.456). Ultrafast-DCE showed potential to improve detection of unknown primary tumors in addition to DWI and 18F-FDG-PET/CT in patients with cervical squamous cell carcinoma lymph node metastasis. The combined use of ultrafast-DCE, DWI and 18F-FDG-PET/CT yielded highest sensitivity.
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Park S, Park JG, Jun S, Kim H, Kim TS, Kang H. Differentiation of bone metastases from prostate cancer and benign red marrow depositions of the pelvic bone with multiparametric MRI. Magn Reson Imaging 2020; 73:118-124. [PMID: 32860869 DOI: 10.1016/j.mri.2020.08.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 07/15/2020] [Accepted: 08/23/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE To investigate the diagnostic utilities of imaging parameters derived from T1-weighted imaging (T1WI), diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to differentiate bone metastases from prostate cancer and benign red marrow depositions of the pelvic bone. MATERIALS AND METHODS Thirty-six lesions from 36 patients with prostate cancer were analyzed with T1WI, DWI, and DCE-MRI. The lesions were classified in the bone metastases (n = 22) and benign red marrow depositions (n = 14). Lesion-muscle ratio (LMR), apparent diffusion coefficient (ADC), volume transfer constant (Ktrans), reflux rate (Kep), and volume fraction of the extravascular extracellular matrix (Ve) values were obtained from the lesions. The imaging parameters of the both groups were compared using the Mann-Whitney U test, receiver operating characteristics (ROC) curves were analyzed. For the ROC curves, area under the curves (AUCs) were compared. RESULTS The ADC, Ktrans, Kep, and Ve values of bone metastases were significantly higher than those of benign red marrow depositions (Mann-Whitney U test, p < 0.05). However, there was no significant difference in LMR between the two groups (Mann-Whitney U test, p = 0.360). The AUCs of Ktrans, Kep, ADC, Ve, and LMR were 0.896, 0.844, 0.812, 0.724, and 0.448, respectively. In the pairwise comparison of ROC curves, the AUCs of Ktrans and Kep was significantly higher than LMR. CONCLUSIONS Ktrans, Kep, Ve, and ADC values can be used as imaging tools to differentiate bone metastases from prostate cancer and benign red marrow depositions of the pelvic bone.
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Affiliation(s)
- Sekyoung Park
- Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Jung Gu Park
- Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea.
| | - Sungmin Jun
- Department of Nuclear Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Heeyoung Kim
- Department of Nuclear Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Taek Sang Kim
- Department of Urology Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Hee Kang
- Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
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Xiao B, Wang P, Zhao Y, Liu Y, Ye Z. Nasopharyngeal carcinoma perfusion MRI: Comparison of arterial spin labeling and dynamic contrast-enhanced MRI. Medicine (Baltimore) 2020; 99:e20503. [PMID: 32481470 DOI: 10.1097/md.0000000000020503] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
To investigate the feasibility of 3D arterial spin labeling (ASL) as an alternative to dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for the qualitative and quantitative evaluation of nasopharyngeal carcinoma (NPC) perfusion.Fifty-two newly diagnosed NPC patients underwent 3D ASL and DCE-MRI scans on a 3.0-T MRI system. The visual qualitative evaluation of the NPC perfusion level was scored from 0 to 3 (0 = no contrast to normal peripheral soft tissue, 3 = pronounced contrast to normal peripheral soft tissue). The visual evaluation of the NPC outline was scored from 0 to 2 (0 = very vague outline, 2 = clear outline). Comparisons of the ASL-derived blood flow (BF) with the DCE-MRI-derived positive enhancement integral, maximum slope of increase, maximum slope of decrease, and time to peak (TTP) were conducted between NPC and non-NPC areas with independent samples t-tests. The diagnostic performance of these parameters was assessed by receiver operating characteristic curve analysis. The correlations between ASL BF and DCE parameters were assessed by Spearman correlation analysis.There was no difference in the visual scores of the NPC perfusion level between the 2 perfusion methods (P= .963). ASL had a lower visual score for describing the outline of NPC than DCE-MRI (P < .001). The ASL and DCE parameters of the NPC areas were significantly different from those of the non-NPC areas (P < .001). The ASL BF showed the largest area under the receiver operating characteristic curve (AUC) of 0.936 for identifying NPC. When all NPC and non-NPC areas were taken into account, significant correlations were observed between the ASL BF and the DCE parameters positive enhancement integral (r = 0.503, P < .001), maximum slope of increase (r = 0.616, P < .001), maximum slope of decrease (r = 0.380, P < .001), and TTP (r = -0.601, P < .001).3D ASL could reveal the hyperperfusion of NPC in a qualitative and quantitative manner without using contrast agent. Additionally, the ASL BF correlated significantly with the semiquantitative DCE-MRI parameters.
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Affiliation(s)
| | - Peiguo Wang
- Department of Radiotherapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
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Lee JY, Cheng KL, Lee JH, Choi YJ, Kim HW, Sung YS, Chung SR, Ryu KH, Chung MS, Kim SY, Lee SW, Baek JH. Detection of Local Recurrence in Patients with Head and Neck Squamous Cell Carcinoma Using Voxel-Based Color Maps of Initial and Final Area under the Curve Values Derived from DCE-MRI. AJNR Am J Neuroradiol 2019; 40:1392-1401. [PMID: 31320461 DOI: 10.3174/ajnr.a6130] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 06/17/2019] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Early detection of local recurrence is important to increase the chance of cure because local recurrence is the main cause of treatment failure in head and neck squamous cell carcinoma. We evaluated the added value of voxel-based color maps of dynamic contrast-enhanced MR imaging compared with conventional MR imaging alone for detecting local recurrence of head and neck squamous cell carcinoma. MATERIALS AND METHODS We retrospectively enrolled 63 consecutive patients with head and neck squamous cell carcinoma after definitive treatment and posttreatment surveillance MR imaging studies that demonstrated focal enhancement at the primary site. Three independent readers assessed conventional MR imaging and a pair of color maps of initial and final 90-second time-signal intensity areas under the curve from dynamic contrast-enhanced MR imaging. The sensitivities, specificities, and accuracies of both conventional MR imaging alone and combined interpretation of conventional and dynamic contrast-enhanced MR imaging were assessed using the clinicopathologic diagnosis as the criterion standard. κ statistics were used to evaluate interreader agreement. RESULTS There were 28 patients with subsequently documented local recurrence and 35 with posttreatment change. Adding dynamic contrast-enhanced MR imaging to conventional MR imaging significantly increased the diagnostic accuracies for detecting local recurrence (48%-54% versus 87%-91%; P < .05), with excellent interreader agreement (κ = 0.8; 95% CI, 0.67-0.92 to κ = 0.81; 95% CI, 0.69-0.93). By all 3 readers, the specificities were also significantly improved by adding dynamic contrast-enhanced MR imaging to conventional MR imaging (22%-43% versus 87%-91%; P < .001) without sacrificing the sensitivities (68%-82% versus 86%-89%; P > .05). CONCLUSIONS Adding voxel-based color maps of initial and final 90-second time-signal intensity areas under the curve from dynamic contrast-enhanced MR imaging to conventional MR imaging increases the diagnostic accuracy to detect local recurrence in head and neck squamous cell carcinoma by improving the specificity without sacrificing the sensitivity.
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Affiliation(s)
- J Y Lee
- From the Department of Radiology (J.Y.L.), Eulji Medical Center, Eulji University College of Medicine, Seoul, Korea
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
| | - K L Cheng
- Department of Medical Imaging (K.L.C.)
- School of Medical Imaging and Radiological Sciences (K.L.C.), Chung Shan Medical University, Taichung, Taiwan
- Department of Veterinary Medicine (K.L.C.), National Chung Hsing University, Taichung, Taiwan
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
| | - J H Lee
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
| | - Y J Choi
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
| | - H W Kim
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
| | - Y S Sung
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
| | - S R Chung
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
| | - K H Ryu
- Department of Radiology (K.H.R.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - M S Chung
- Department of Radiology (M.S.C.), Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - S Y Kim
- Departments of Otolaryngology (S.Y.K.)
| | - S-W Lee
- Radiation Oncology (S.-W.L), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - J H Baek
- Department of Radiology and Research Institute of Radiology (J.Y.L., K.L.C., J.H.L., Y.J.C., H.W.K., Y.S.S., S.R.C., J.H.B.)
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Mogen JL, Block KT, Bansal NK, Patrie JT, Mukherjee S, Zan E, Hagiwara M, Fatterpekar GM, Patel SH. Dynamic Contrast-Enhanced MRI to Differentiate Parotid Neoplasms Using Golden-Angle Radial Sparse Parallel Imaging. AJNR Am J Neuroradiol 2019; 40:1029-1036. [PMID: 31048300 DOI: 10.3174/ajnr.a6055] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 03/31/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND PURPOSE Conventional imaging frequently shows overlapping features between benign and malignant parotid neoplasms. We investigated dynamic contrast-enhanced MR imaging using golden-angle radial sparse parallel imaging in differentiating parotid neoplasms. MATERIALS AND METHODS For this retrospective study, 41 consecutive parotid neoplasms were imaged with dynamic contrast-enhanced MR imaging with golden-angle radial sparse parallel imaging using 1-mm in-plane resolution. The temporal resolution was 3.4 seconds for 78.2 seconds and 8.8 seconds for the remaining acquisition. Three readers retrospectively and independently created and classified time-intensity curves as follows: 1) continuous wash-in; 2) rapid wash-in, subsequent plateau; and 3) rapid wash-in with washout. Additionally, time-intensity curve-derived semiquantitative metrics normalized to the ipsilateral common carotid artery were recorded. Diagnostic performance for the prediction of neoplasm type and malignancy was assessed. Subset multivariate analysis (n = 32) combined semiquantitative time-intensity curve metrics with ADC values. RESULTS Independent time-intensity curve classification of the 41 neoplasms produced moderate-to-substantial interreader agreement (κ = 0.50-0.79). The time-intensity curve classification threshold of ≥2 predicted malignancy with a positive predictive value of 56.0%-66.7%, and a negative predictive value of 92.0%-100%. The time-intensity curve classification threshold of <2 predicted pleomorphic adenoma with a positive predictive value of 87.0%-95.0% and a negative predictive value of 76.0%-95.0%. For all readers, type 2 and 3 curves were associated with malignant neoplasms (P < .001), and type 1 curves, with pleomorphic adenomas (P < .001). Semiquantitative analysis for malignancy prediction yielded an area under the receiver operating characteristic curve of 0.85 (95% CI, 0.73-0.99). Combining time-to-maximum and ADC predicts pleomorphic adenoma better than either metric alone (P < .001). CONCLUSIONS Golden-angle radial sparse parallel MR imaging allows high spatial and temporal resolution permeability characterization of parotid neoplasms, with a high negative predictive value for malignancy prediction. Combining time-to-maximum and ADC improves pleomorphic adenoma prediction compared with either metric alone.
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Affiliation(s)
- J L Mogen
- From the Department of Radiology (J.L.M.), Tufts Medical Center, Boston, Massachusetts
| | - K T Block
- Department of Radiology (K.T.B., N.K.B., E.Z., M.H., G.M.F.), New York University Langone Medical Center, New York, New York
| | - N K Bansal
- Department of Radiology (K.T.B., N.K.B., E.Z., M.H., G.M.F.), New York University Langone Medical Center, New York, New York
| | - J T Patrie
- Division of Biostatistics and Epidemiology (J.T.P.), University of Virginia, Charlottesville, Virginia
| | - S Mukherjee
- Department of Radiology and Medical Imaging (S.M., S.H.P.), University of Virginia Health System, Charlottesville, Virginia
| | - E Zan
- From the Department of Radiology (J.L.M.), Tufts Medical Center, Boston, Massachusetts
| | - M Hagiwara
- Department of Radiology (K.T.B., N.K.B., E.Z., M.H., G.M.F.), New York University Langone Medical Center, New York, New York
| | - G M Fatterpekar
- Department of Radiology (K.T.B., N.K.B., E.Z., M.H., G.M.F.), New York University Langone Medical Center, New York, New York
| | - S H Patel
- Department of Radiology and Medical Imaging (S.M., S.H.P.), University of Virginia Health System, Charlottesville, Virginia.
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Técnicas avanzadas de resonancia magnética en patología tumoral de cabeza y cuello. RADIOLOGIA 2019; 61:191-203. [DOI: 10.1016/j.rx.2018.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 12/11/2018] [Accepted: 12/20/2018] [Indexed: 11/19/2022]
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Dynamic contrast-enhanced MRI of orbital and anterior visual pathway lesions. Magn Reson Imaging 2018; 51:44-50. [DOI: 10.1016/j.mri.2018.04.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 04/19/2018] [Accepted: 04/26/2018] [Indexed: 01/13/2023]
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Zhao W, Quan Z, Huang X, Ren J, Wen D, Zhang G, Shi Z, Yin H, Huan Y. Grading of pancreatic neuroendocrine neoplasms using pharmacokinetic parameters derived from dynamic contrast-enhanced MRI. Oncol Lett 2018; 15:8349-8356. [PMID: 29805568 PMCID: PMC5950181 DOI: 10.3892/ol.2018.8384] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2017] [Accepted: 03/19/2018] [Indexed: 02/06/2023] Open
Abstract
The present study aimed to evaluate the diagnostic efficacy of pharmacokinetic parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in prospective evaluation of pancreatic neuroendocrine neoplasms (pNENs) grading. A total of 25 histologically proven patients with pNENs (30 lesions in total) who underwent DCE-MRI were enrolled. Lesions were divided into G1, G2 neuroendocrine tumor (NET) and G3 NET/neuroendocrine carcinoma (NEC) groups based on their histological findings according to 2017 World Health Organization Neuroendocrine Tumor Classification Guideline. In addition, the same numbers of tumor-free regions were selected using as normal control group. For each group, pharmacokinetic DCE parameters: volume transfer constant (Ktrans); contrast transfer rate constant (kep); extravascular extracellular space volume fraction (ve); and plasma volume fraction (vp) were calculated with Extended Tofts Linear model. Receiver operator characteristics analysis was conducted to assess the diagnostic efficacy of these parameters in pNENs grading. There were significant differences of Ktrans, kep, ve and vp between tumor-free areas and G1, G2 NET (P<0.001). The Ktrans and kep of G1 NET were significantly lower compared with those of G2 ones (P<0.005). The area under the curve of Ktrans and kep in differentiating G2 from G1 NET were 0.767 and 0.846, respectively. When Ktrans was >0.667 and kep >1.644, the sensitivity of diagnosing G2 NET was the lowest (53.85%), but the specificity was the highest (93.75%). When Ktrans was >0.667 or kep >1.644, the sensitivity of diagnosing G2 NET was 92.31%, but the specificity was 75.00%. Pharmacokinetic parameters of DCE-MRI, particularly the quantitative values of Ktrans and kep, are helpful for differentiating G2 NET from G1 ones.
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Affiliation(s)
- Weiwei Zhao
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Zhiyong Quan
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Xufang Huang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Jing Ren
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Didi Wen
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Guangwen Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | | | - Hong Yin
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Yi Huan
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
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Cintra MB, Ricz H, Mafee MF, Dos Santos AC. Magnetic resonance imaging: dynamic contrast enhancement and diffusion-weighted imaging to identify malignant cervical lymph nodes. Radiol Bras 2018; 51:71-75. [PMID: 29743732 PMCID: PMC5935398 DOI: 10.1590/0100-3984.2017.0005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Objective To examine the potential of two magnetic resonance imaging (MRI) techniques-dynamic contrast enhancement (DCE) and diffusion-weighted imaging (DWI)-for the detection of malignant cervical lymph nodes. Materials and Methods Using DCE and DWI, we evaluated 33 cervical lymph nodes. For the DCE technique, the maximum relative enhancement, relative enhancement, time to peak enhancement, wash-in rate, wash-out rate, brevity of enhancement, and area under the curve were calculated from a semi-quantitative analysis. For the DWI technique, apparent diffusion coefficients (ADCs) were acquired in the region of interest of each lymph node. Cystic or necrotic parts were excluded. All patients underwent neck dissection or node biopsy. Imaging results were correlated with the histopathological findings. None of the patients underwent neoadjuvant treatment before neck dissection. Results Relative enhancement, maximum relative enhancement, and the wash-in rate were significantly higher in malignant lymph nodes than in benign lymph nodes (p < 0.009; p < 0.05; and p < 0.03, respectively). The time to peak enhancement was significantly shorter in the malignant lymph nodes (p < 0.02). In the multivariate analysis, the variables identified as being the most capable of distinguishing between benign and malignant lymph nodes were time to peak enhancement (sensitivity, 73.7%; specificity, 69.2%) and relative enhancement (sensitivity, 89.2%; specificity, 69.2%). Conclusion Although DCE was able to differentiate between benign and malignant lymph nodes, there is still no consensus regarding the use of a semi-quantitative analysis, which is difficult to apply in a clinical setting. Low ADCs can predict metastatic disease, although inflammatory processes might lead to false-positive results.
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Affiliation(s)
- Murilo Bicudo Cintra
- MD, PhD, Head and Neck Radiology, Radiology Division, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil
| | - Hilton Ricz
- MD, PhD, Professor of Head and Neck Surgery, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil
| | - Mahmood F Mafee
- MD, FACR, University of California San Diego (UC San Diego) Health System in La Jolla, San Diego, CA, USA
| | - Antonio Carlos Dos Santos
- MD, PhD, Professor of Neuroradiology, Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRP-USP), Ribeirão Preto, SP, Brazil
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Kabadi SJ, Fatterpekar GM, Anzai Y, Mogen J, Hagiwara M, Patel SH. Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer. Magn Reson Imaging Clin N Am 2018; 26:135-149. [DOI: 10.1016/j.mric.2017.08.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Xiao Z, Tang Z, Qiang J, Qian W, Zhong Y, Wang R, Wang J, Wu L, Tang W. Differentiation of olfactory neuroblastomas from nasal squamous cell carcinomas using MR diffusion kurtosis imaging and dynamic contrast-enhanced MRI. J Magn Reson Imaging 2017; 47:354-361. [PMID: 28661554 DOI: 10.1002/jmri.25803] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 06/16/2017] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To evaluate the use of magnetic resonance (MR) diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced MR imaging (DCE-MRI) in the differentiation of olfactory neuroblastomas (ONBs) from squamous cell carcinomas (SCCs). MATERIALS AND METHODS DKI and DCE-MRI were performed in 17 patients with ONBs and 23 patients with SCCs on a 3T MR scanner. Parameters derived from DKI and DCE-MRI were measured and compared between ONBs and SCCs using an independent samples t-test. The sensitivity, specificity, accuracy, positive predictive values (PPV), negative predictive values (NPV), and the area under the receiver operating characteristic (ROC) curve were determined. RESULTS The mean kurtosis (K) value of ONBs was significantly higher than that of SCCs (P < 0.001), and the mean fractional volume in the extravascular extracellular space (Ve ) value of ONBs was lower than that of SCCs (P < 0.001). The ROC curve analyses yielded a cutoff K value of 0.953, with a sensitivity of 94.1%, a specificity of 69.6%, and an accuracy of 80.0%; the cutoff Ve value was 0.493, with a sensitivity of 70.6%, a specificity of 95.7%, and an accuracy of 85.0%. A parallel test with K value >0.953 or Ve value ≤0.493 achieved a sensitivity of 94.1%, a specificity of 100.0%, and an accuracy of 97.5% for differentiating ONBs from SCCs. CONCLUSION The K value of DKI and Ve value of DCE-MRI have potential use in the differentiation of ONBs and SCCs. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:354-361.
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Affiliation(s)
- Zebin Xiao
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Zuohua Tang
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Jinwei Qiang
- Department of Radiology, Jinshan Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Wen Qian
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Yufeng Zhong
- Department of Radiology, Jinshan Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Rong Wang
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Jie Wang
- Department of Radiotherapy, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Lingjie Wu
- Department of Otolaryngology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, P.R. China
| | - Wenlin Tang
- Siemens Healthcare Ltd, Shanghai, P.R. China
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State of the art MRI in head and neck cancer. Clin Radiol 2017; 73:45-59. [PMID: 28655406 DOI: 10.1016/j.crad.2017.05.020] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/26/2017] [Indexed: 12/17/2022]
Abstract
Head and neck cancer affects more than 11,000 new patients per year in the UK1 and imaging has an important role in the diagnosis, treatment planning, and assessment, and post-treatment surveillance of these patients. The anatomical detail produced by magnetic resonance imaging (MRI) is ideally suited to staging and follow-up of primary tumours and cervical nodal metastases in the head and neck; however, anatomical images have limitations in cancer imaging and so increasingly functional-based MRI techniques, which provide molecular, metabolic, and physiological information, are being incorporated into MRI protocols. This article reviews the state of the art of these functional MRI techniques with emphasis on those that are most relevant to the current management of patients with head and neck cancer.
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Xu XQ, Choi YJ, Sung YS, Yoon RG, Jang SW, Park JE, Heo YJ, Baek JH, Lee JH. Intravoxel Incoherent Motion MR Imaging in the Head and Neck: Correlation with Dynamic Contrast-Enhanced MR Imaging and Diffusion-Weighted Imaging. Korean J Radiol 2016; 17:641-9. [PMID: 27587952 PMCID: PMC5007390 DOI: 10.3348/kjr.2016.17.5.641] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2015] [Accepted: 05/17/2016] [Indexed: 12/25/2022] Open
Abstract
Objective To investigate the correlation between perfusion- and diffusion-related parameters from intravoxel incoherent motion (IVIM) and those from dynamic contrast-enhanced MR imaging (DCE-MRI) and diffusion-weighted imaging in tumors and normal muscles of the head and neck. Materials and Methods We retrospectively enrolled 20 consecutive patients with head and neck tumors with MR imaging performed using a 3T MR scanner. Tissue diffusivity (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) were derived from bi-exponential fitting of IVIM data obtained with 14 different b-values in three orthogonal directions. We investigated the correlation between D, f, and D* and model-free parameters from the DCE-MRI (wash-in, Tmax, Emax, initial AUC60, whole AUC) and the apparent diffusion coefficient (ADC) value in the tumor and normal masseter muscle using a whole volume-of-interest approach. Pearson's correlation test was used for statistical analysis. Results No correlation was found between f or D* and any of the parameters from the DCE-MRI in all patients or in patients with squamous cell carcinoma (p > 0.05). The ADC was significantly correlated with D values in the tumors (p < 0.001, r = 0.980) and muscles (p = 0.013, r = 0.542), despite its significantly higher value than D. The difference between ADC and D showed significant correlation with f values in the tumors (p = 0.017, r = 0.528) and muscles (p = 0.003, r = 0.630), but no correlation with D* (p > 0.05, respectively). Conclusion Intravoxel incoherent motion shows no significant correlation with model-free perfusion parameters derived from the DCE-MRI but is feasible for the analysis of diffusivity in both tumors and normal muscles of the head and neck.
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Affiliation(s)
- Xiao Quan Xu
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Young Jun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Yu Sub Sung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Ra Gyoung Yoon
- Department of Radiology, Catholic Kwandong University International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon 22711, Korea
| | - Seung Won Jang
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Young Jin Heo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.; Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Korea
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Jeong Hyun Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
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Application of Dynamic Contrast-Enhanced MRI Parameters for Differentiating Squamous Cell Carcinoma and Malignant Lymphoma of the Oropharynx. AJR Am J Roentgenol 2016; 206:401-7. [PMID: 26797371 DOI: 10.2214/ajr.15.14550] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVE The purpose of this study was to investigate the usefulness of histogram analysis of dynamic contrast-enhanced MRI (DCE-MRI) parameters for the differentiation of squamous cell carcinoma (SCC) and malignant lymphoma of the oropharynx. MATERIALS AND METHODS Pretreatment DCE-MRI was performed in 21 patients with pathologically confirmed oropharyngeal SCC and six patients with malignant lymphoma. DCE-MRI parameter maps including the volume transfer constant (K(trans)), flux rate constant (kep), and extravascular extracellular volume fraction (ve) based on the Tofts model were obtained. Enhancing tumors were manually segmented on each slice of the parameter maps, and the data were collected to obtain a histogram for the entire tumor volume. The Wilcoxon rank sum test was used to compare the histogram parameters of each DCE-MRI-derived variable of oropharyngeal SCC and lymphoma. RESULTS Histogram analysis of K(trans) and ve maps revealed that the median and mode of K(trans) were significantly higher in SCC than in lymphoma (p = 0.039 and 0.032, respectively), and the mode, skewness, and kurtosis of ve were significantly different in SCC than in lymphoma (p = 0.046, 0.039, and 0.032, respectively). On ROC analysis, the kurtosis of ve had the best discriminative value for distinguishing between oropharyngeal SCC and lymphoma (AUC, 0.865; cutoff value, 2.60; sensitivity, 83.3%; specificity, 90.5%). CONCLUSION Our preliminary evidence using histogram analysis of DCE-MRI parameters based on the whole tumor volume suggests that it might be useful for differentiating SCC from malignant lymphoma of the oropharynx.
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Value of dynamic contrast enhanced magnetic resonance imaging in the differentiation between post-treatment changes and recurrent salivary gland tumors. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2016. [DOI: 10.1016/j.ejrnm.2016.01.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Abdel Razek AAK, Mousa A, Farouk A, Nabil N. Assessment of Semiquantitative Parameters of Dynamic Contrast-Enhanced Perfusion MR Imaging in Differentiation of Subtypes of Renal Cell Carcinoma. Pol J Radiol 2016; 81:90-4. [PMID: 27026793 PMCID: PMC4782830 DOI: 10.12659/pjr.894707] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Accepted: 09/09/2015] [Indexed: 12/27/2022] Open
Abstract
Background To assess semiquantitative parameters of dynamic contrast-enhanced perfusion MR imaging (DCE) in differentiation of subtypes of renal cell carcinoma (RCC). Material/Methods Prospective study conducted upon 34 patients (27 M, 7 F, aged 25–72 ys: mean 45 ys) with RCC. Abdominal dynamic contrast-enhanced gradient-recalled echo MR sequence after administration of gadopentetate dimeglumine was obtained. The time signal intensity curve (TIC) of the lesion was created with calculation of enhancement ratio (ER), and washout ratio (WR). Results The subtypes of RCC were as follows: clear cell carcinomas (n=23), papillary carcinomas (n=6), and chromophobe carcinomas (n=5). The mean ER of clear cell, papillary and chromophobe RCC were 188±49.7, 35±8.9, and 120±41.6 respectively. The mean WR of clear cell, papillary and chromophobe RCCs were 28.6±6.8, 47.6±5.7 and 42.7±10, respectively. There was a significant difference in ER (P=0.001) and WR (P=0.001) between clear cell RCC and other subtypes of RCC. The threshold values of ER and WR used for differentiating clear cell RCC from other subtypes of RCC were 142 and 38 with areas under the curve of 0.937 and 0.895, respectively. Conclusions We concluded that ER and WR are semiquantitative perfusion parameters useful in differentiation of clear cell RCC from chromophobe and papillary RCCs.
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Affiliation(s)
| | - Amani Mousa
- Department of Diagnostic Radiology, Mansoura University Hospital of Mansoura, Faculty of Medicine, Mansoura, Egypt
| | - Ahmed Farouk
- Department of Diagnostic Radiology, Mansoura Urology and Nephrology Center, Mansoura, Egypt
| | - Nancy Nabil
- Department of Diagnostic Radiology, Mansoura Urology and Nephrology Center, Mansoura, Egypt
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Human Papillomavirus and Epidermal Growth Factor Receptor in Oral Cavity and Oropharyngeal Squamous Cell Carcinoma: Correlation With Dynamic Contrast-Enhanced MRI Parameters. AJR Am J Roentgenol 2016; 206:408-13. [DOI: 10.2214/ajr.15.14713] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Su GY, Xu XQ, Wang YY, Hu H, Shen J, Hong XN, Shi HB, Wu FY. Feasibility study of using intravoxel incoherent motion mri to detect parotid gland abnormalities in early-stage Sjögren syndrome patients. J Magn Reson Imaging 2015; 43:1455-61. [PMID: 26583877 DOI: 10.1002/jmri.25096] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 11/02/2015] [Indexed: 12/20/2022] Open
Affiliation(s)
- Guo-Yi Su
- Department of Radiology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
| | - Xiao-Quan Xu
- Department of Radiology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
| | - Yan-Yan Wang
- Department of Rheumatology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
| | - Hao Hu
- Department of Radiology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
| | - Jie Shen
- Department of Radiology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
| | - Xun-Ning Hong
- Department of Radiology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
| | - Hai-Bin Shi
- Department of Radiology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
| | - Fei-Yun Wu
- Department of Radiology; First Affiliated Hospital of Nanjing Medical University; Nanjing China
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Gaddikeri S, Gaddikeri RS, Tailor T, Anzai Y. Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer: Techniques and Clinical Applications. AJNR Am J Neuroradiol 2015; 37:588-95. [PMID: 26427839 DOI: 10.3174/ajnr.a4458] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
In the past decade, dynamic contrast-enhanced MR imaging has had an increasing role in assessing the microvascular characteristics of various tumors, including head and neck cancer. Dynamic contrast-enhanced MR imaging allows noninvasive assessment of permeability and blood flow, both important features of tumor hypoxia, which is a marker for treatment resistance for head and neck cancer. Dynamic contrast-enhanced MR imaging has the potential to identify early locoregional recurrence, differentiate metastatic lymph nodes from normal nodes, and predict tumor response to treatment and treatment monitoring in patients with head and neck cancer. Quantitative analysis is in its early stage and standardization and refinement of technique are essential. In this article, we review the techniques of dynamic contrast-enhanced MR imaging data acquisition, analytic methods, current limitations, and clinical applications in head and neck cancer.
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Affiliation(s)
- S Gaddikeri
- From the Department of Radiology (S.G., T.T., Y.A.), University of Washington Medical Center, Seattle, Washington
| | - R S Gaddikeri
- Department of Neuroradiology (R.S.G.), Rush University, Chicago, Illinois
| | - T Tailor
- From the Department of Radiology (S.G., T.T., Y.A.), University of Washington Medical Center, Seattle, Washington
| | - Y Anzai
- From the Department of Radiology (S.G., T.T., Y.A.), University of Washington Medical Center, Seattle, Washington Department of Radiology (Y.A.), University of Utah Health Care, Salt Lake City, Utah.
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Wang XY, Yan F, Hao H, Wu JX, Chen QH, Xian JF. Improved performance in differentiating benign from malignant sinonasal tumors using diffusion-weighted combined with dynamic contrast-enhanced magnetic resonance imaging. Chin Med J (Engl) 2015; 128:586-92. [PMID: 25698188 PMCID: PMC4834767 DOI: 10.4103/0366-6999.151649] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background: Differentiating benign from malignant sinonsal lesions is essential for treatment planning as well as determining the patient's prognosis, but the differentiation is often difficult in clinical practice. The study aimed to determine whether the combination of diffusion-weighted (DW) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can improve the performance in differentiating benign from malignant sinonasal tumors. Methods: This retrospective study included 197 consecutive patients with sinonasal tumors (116 malignant tumors and 81 benign tumors). All patients underwent both DW and DCE-MRI in a 3-T magnetic resonance scanner. Two different settings of b values (0,700 and 0,1000 s/mm2) and two different strategies of region of interest (ROI) including whole slice (WS) and partial slice (PS) were used to calculate apparent diffusion coefficients (ADCs). A DW parameter with WS ADCsb0,1000 and two DCE-MRI parameters (time intensity curve [TIC] and time to peak enhancement [Tpeak]) were finally combined to use in differentiating the benign from the malignant tumors in this study. Results: The mean ADCs of malignant sinonasal tumors (WS ADCsb0,1000 = 1.084 × 10−3 mm2/s) were significantly lower than those of benign tumors (WS ADCsb0,1000 = 1.617 × 10−3 mm2/s, P < 0.001). The accuracy using WS ADCsb0,1000 alone was 83.7% in differentiating the benign from the malignant tumors (85.3% sensitivity, 81.2% specificity, 86.4% positive predictive value [PPV], and 79.5% negative predictive value [NPV]). The accuracy using DCE with Tpeak and TIC alone was 72.1% (69.1% sensitivity, 74.1% specificity, 77.5% PPV, and 65.1% NPV). Using DW-MRI parameter was superior than using DCE parameters in differentiation between benign and malignant sinonasal tumors (P < 0.001). The accuracy was 87.3% (90.5% sensitivity, 82.7% specificity, 88.2% PPV, and 85.9% NPV) using DW-MRI combined with DCE-MRI, which was superior than that using DCE-MRI alone or using DW-MRI alone (both P < 0.001) in differentiating the benign from the malignant tumors. Conclusions: Diffusion-weighted combined with DCE-MRI can improve imaging performance in differentiating benign from malignant sinonasal tumors, which has the potential to improve diagnostic accuracy and to provide added value in the management for these tumors.
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Affiliation(s)
| | | | | | | | | | - Jun-Fang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730; Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, Capital Medical University, Beijing 100069, China
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Lerant G, Sarkozy P, Takacsi-Nagy Z, Polony G, Tamas L, Toth E, Boer A, Javor L, Godeny M. Dynamic Contrast-Enhanced MRI Parameters as Biomarkers in Assessing Head and Neck Lesions After Chemoradiotherapy Using a Wide-Bore 3 Tesla Scanner. Pathol Oncol Res 2015; 21:1091-9. [DOI: 10.1007/s12253-015-9942-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2014] [Accepted: 04/21/2015] [Indexed: 11/30/2022]
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Chen PC, Lin DJ, Jao JC, Hsiao CC, Lin LM, Pan HB. The Impact of Flip Angle and TR on the Enhancement Ratio of Dynamic Gadobutrol-enhanced MR Imaging: In Vivo VX2 Tumor Model and Computer Simulation. Magn Reson Med Sci 2015; 14:193-202. [PMID: 25833269 DOI: 10.2463/mrms.2014-0048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used to diagnose cancer and monitor therapy. The maximum enhancement ratio (ERmax) obtained from the curve of signal intensity over time could be a biomarker to distinguish cancer from normal tissue or benign tumors. We evaluated the impact of flip angle (FA) and repetition time (TR) on the ERmax values of dynamic gadobutrol-enhanced MR imaging, obtaining T1-weighted (T1W) MR imaging of VX2 tumors using 2-dimensional fast spoiled gradient echo (2D FSPGR) with various FAs (30°, 60° and 90°) at 1.5 tesla before and after injection of 0.1 mmol/kg gadobutrol. In vivo study indicated significant differences between ERmax values and area under the ER-time curve (AUC100) of VX2 tumors and muscle tissue, with the highest ERmax and AUC100 at FA 90°. Computer simulation also demonstrated the ER as a strictly increasing monotonic function in the closed interval [0°, 90°] for a given TR when using T1W FSPGR, and the highest ER value always occurred at FA 90°. The FA for the highest ER differed from that for the highest signal-to-noise or contrast-to-noise ratio. For long TR, the ER value increases gradually. However, for short TR, the ER value increases rapidly and plateaus so that the ER value changes little beyond a certain FA value. Therefore, we suggest use of a higher FA, near 90°, to obtain a higher ERmax for long TR in 2D SPGR or FSPGR and a smaller FA, much less than 90°, to reach an appropriate ERmax for short TR in 3D SPGR or FSPGR. This information could be helpful in setting the optimal parameters for DCE-MRI.
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Affiliation(s)
- Po-Chou Chen
- Department of Biomedical Engineering, I-SHOU University
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Lam PD, Kuribayashi A, Imaizumi A, Sakamoto J, Sumi Y, Yoshino N, Kurabayashi T. Differentiating benign and malignant salivary gland tumours: diagnostic criteria and the accuracy of dynamic contrast-enhanced MRI with high temporal resolution. Br J Radiol 2015; 88:20140685. [PMID: 25791568 DOI: 10.1259/bjr.20140685] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To determine the optimal diagnostic criterion of dynamic contrast-enhanced MRI (DCE-MRI) for predicting salivary gland malignancy using a dynamic sequence with high temporal resolution, as well as the accuracy of this technique. METHODS The DCE-MRI findings of 98 salivary gland tumours (74 benign and 24 malignant) were reviewed. MR images were sequentially obtained at 5-s intervals for 370 s. Two parameters, peak time and washout ratio (WR) were determined from the time-signal intensity curve. The optimal thresholds of these parameters for differentiating benign and malignant tumours were determined, along with the diagnostic accuracy of the criterion using these thresholds. RESULTS A peak time of 150 s and a WR of 30% were identified as optimal thresholds. As the criterion for malignancy, the combination of peak time <150 s and WR <30% provided a sensitivity of 79% (19/24), specificity of 95% (70/74) and an overall accuracy of 91% (89/98). Three of the five false-negative cases were malignant lymphomas of the parotid gland. CONCLUSION Peak time <150 s with WR <30% comprised the optimal diagnostic criterion in predicting salivary gland malignancy, providing a sensitivity of 79% and specificity of 95%. The use of high temporal resolution might improve the accuracy of DCE-MRI. ADVANCES IN KNOWLEDGE Although several studies have reported the usefulness of DCE-MRI in the differential diagnosis of salivary gland tumours, the specific diagnostic criteria employed have differed widely. We determined the optimal criterion and its accuracy using a dynamic sequence with high temporal resolution.
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Affiliation(s)
- P D Lam
- 1 Department of Oral and Maxillofacial Radiology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan
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Ishiyama M, Richards T, Parvathaneni U, Anzai Y. Dynamic contrast-enhanced magnetic resonance imaging in Head and Neck Cancer: differentiation of new H&N cancer, recurrent disease, and benign post-treatment changes. Clin Imaging 2015; 39:566-70. [PMID: 25778388 DOI: 10.1016/j.clinimag.2015.01.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 01/23/2015] [Accepted: 01/27/2015] [Indexed: 10/24/2022]
Abstract
PURPOSE To determine if dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) parameters such as permeability surface area (PS) and blood volume (BV) allow differentiating between new head and neck (HN) cancer, recurrent HN cancer, and post-treatment benign changes. METHOD A total of 35 patients with newly diagnosed, recurrent, and benign post-treatment benign changes underwent DCE-MRI. PS and BV were calculated. RESULTS PS values of the lesion were 2.3×10(4)±5.8×10(4) for the newly diagnosed cancer group, 3.3×10(4)±1.7×10(4) for the recurrent cancer group, and 4.8×10(4)±8.1×10(4) for the post-treatment benign change group (P=.031). CONCLUSION Post-treatment benign changes in the HN region had significantly high permeability property than newly diagnosed or previously treated recurrent tumor.
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Affiliation(s)
- Mitsutomi Ishiyama
- Department of Radiology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195
| | - Todd Richards
- Department of Radiology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195
| | - Upendra Parvathaneni
- Department of Radiation Oncology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195
| | - Yoshimi Anzai
- Department of Radiology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195.
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Moore AG, Srinivasan A. Postoperative and postradiation head and neck: role of magnetic resonance imaging. Top Magn Reson Imaging 2015; 24:3-13. [PMID: 25654417 DOI: 10.1097/rmr.0000000000000042] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Interpretation of head and neck imaging after treatment for malignancy poses a challenge even for the experienced neuroradiologist. While computed tomography is often the preferred modality for assessment of the head and neck due to its faster acquisition, magnetic resonance imaging (MRI) is superior in the evaluation of nasopharyngeal, sinonasal and skull base tumors. In this article, we review pretherapy imaging protocols, common surgical approaches and reconstructions, postsurgical and postradiation MRI appearance and complications, MRI criteria for tumor recurrence and clinical applications of advanced MRI techniques as applicable to head and neck tumors.
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Affiliation(s)
- Andreea G Moore
- From the Department of Radiology, Division of Neuroradiology, University of Michigan, Ann Arbor, MI
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Szewczyk-Bieda MJ, White RD, Budak MJ, Ananthakrishnan G, Brunton JN, Sudarshan TA. A whiff of trouble: tumours of the nasal cavity and their mimics. Clin Radiol 2014; 69:519-28. [PMID: 24525221 DOI: 10.1016/j.crad.2013.12.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2013] [Revised: 12/06/2013] [Accepted: 12/10/2013] [Indexed: 12/28/2022]
Abstract
A range of disease entities can affect the nasal cavity, often presenting with variable and non-specific symptoms. There is considerable overlap between the clinical and radiological features of neoplastic and non-neoplastic entities. The nasal cavity is often included in routine imaging of the brain, middle ear, skull base, and paranasal sinuses and should be included as a critical review area. The definitive diagnosis is in most cases confirmed by histopathological analysis. However, this review highlights the role of imaging in identifying nasal cavity disease, eliciting features of aggressive or indolent behaviour, and helping to narrow the differential diagnosis, thus facilitating a systematic approach when reviewing the nasal cavity.
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Affiliation(s)
- M J Szewczyk-Bieda
- Clinical Radiology Department, Ninewells Hospital and Medical School, Dundee, UK.
| | - R D White
- Clinical Radiology Department, Ninewells Hospital and Medical School, Dundee, UK; Department of Clinical Radiology, University Hospital of Wales, Cardiff, UK
| | - M J Budak
- Clinical Radiology Department, Ninewells Hospital and Medical School, Dundee, UK
| | - G Ananthakrishnan
- Clinical Radiology Department, Ninewells Hospital and Medical School, Dundee, UK; Department of Clinical Radiology, Manchester Royal Infirmary Hospital, Manchester, UK
| | - J N Brunton
- Clinical Radiology Department, Ninewells Hospital and Medical School, Dundee, UK
| | - T A Sudarshan
- Clinical Radiology Department, Ninewells Hospital and Medical School, Dundee, UK
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Fujita A, Kimura Y, Sakai O. [Recent findings on MRI testing--clinical application of 3T ultra-high magnetic apparatus]. NIHON JIBIINKOKA GAKKAI KAIHO 2014; 117:75-80. [PMID: 24757764 DOI: 10.3950/jibiinkoka.117.75] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
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Sumi M, Nakamura T. Head and neck tumours: combined MRI assessment based on IVIM and TIC analyses for the differentiation of tumors of different histological types. Eur Radiol 2013; 24:223-31. [PMID: 24013848 DOI: 10.1007/s00330-013-3002-z] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 08/09/2013] [Accepted: 08/11/2013] [Indexed: 12/24/2022]
Abstract
OBJECTIVES We evaluated the combined use of intravoxel incoherent motion (IVIM) and time-signal intensity curve (TIC) analyses to diagnose head and neck tumours. METHODS We compared perfusion-related parameters (PP) and molecular diffusion values (D) determined from IVIM theory and TIC profiles among 92 tumours with different histologies. RESULTS IVIM parameters (f and D values) and TIC profiles in combination were distinct among the different types of head and neck tumours, including squamous cell carcinomas (SCCs), lymphomas, malignant salivary gland tumours, Warthin's tumours, pleomorphic adenomas and schwannomas. A multiparametric approach using both IVIM parameters and TIC profiles differentiated between benign and malignant tumours with 97 % accuracy and diagnosed different tumour types with 89 % accuracy. CONCLUSIONS Combined use of IVIM parameters and TIC profiles has high efficacy in diagnosing head and neck tumours. KEY POINTS • Head and neck tumours have wide MR perfusion/diffusion properties. • Dynamic contrast-enhanced (DCE) MR imaging can characterise tumour perfusion (TIC analysis). • Intravoxel incoherent motion (IVIM) imaging can provide diffusion and perfusion properties. • However, IVIM or DCE imaging alone is insufficient for diagnosing head/neck tumours. • Multiparametric approach using both IVIM and TIC profiles can facilitate the diagnosis.
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Affiliation(s)
- Misa Sumi
- Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, 1-7-1 Sakamoto, Nagasaki, 852-8588, Japan
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