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Gainey M, Carles M, Mix M, Meyer PT, Bock M, Grosu AL, Baltas D. Biological imaging for individualized therapy in radiation oncology: part I physical and technical aspects. Future Oncol 2018. [PMID: 29521520 DOI: 10.2217/fon-2017-0464] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Recently, there has been an increase in the imaging modalities available for radiotherapy planning and radiotherapy prognostic outcome: dual energy computed tomography (CT), dynamic contrast enhanced CT, dynamic contrast enhanced magnetic resonance imaging (MRI), diffusion-weighted MRI, positron emission tomography-CT, dynamic contrast enhanced ultrasound, MR spectroscopy and positron emission tomography-MR. These techniques enable more precise gross tumor volume definition than CT alone and moreover allow subvolumes within the gross tumor volume to be defined which may be given a boost dose or an individual voxelized dose prescription may be derived. With increased plan complexity care must be taken to immobilize the patient in an accurate and reproducible manner. Moreover the physical and technical limitations of the entire treatment planning chain need to be well characterized and understood, interdisciplinary collaboration ameliorated (physicians and physicists within nuclear medicine, radiology and radiotherapy) and image protocols standardized.
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Affiliation(s)
- Mark Gainey
- Department of Radiation Oncology, Faculty of Medicine, Medical Center, University of Freiburg, D-79106 Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DFKZ), Heidelberg, D-69120 Germany
| | - Montserrat Carles
- Department of Radiation Oncology, Faculty of Medicine, Medical Center, University of Freiburg, D-79106 Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DFKZ), Heidelberg, D-69120 Germany
| | - Michael Mix
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DFKZ), Heidelberg, D-69120 Germany.,Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, D-79106 Germany
| | - Philipp T Meyer
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DFKZ), Heidelberg, D-69120 Germany.,Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, D-79106 Germany
| | - Michael Bock
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DFKZ), Heidelberg, D-69120 Germany.,Radiology - Medical Physics, Department of Radiology, Faculty of Medicine, Medical Center, University of Freiburg, D-79106 Germany
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, Faculty of Medicine, Medical Center, University of Freiburg, D-79106 Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DFKZ), Heidelberg, D-69120 Germany
| | - Dimos Baltas
- Department of Radiation Oncology, Faculty of Medicine, Medical Center, University of Freiburg, D-79106 Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DFKZ), Heidelberg, D-69120 Germany
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Guo W, Luo D, Chen X, Lin M, Li L, Zhao Y, Yang L, Hu L, Zhao X, Zhou C. Dynamic contrast-enhanced magnetic resonance imaging for pretreatment prediction of early chemo-radiotherapy response in larynx and hypopharynx carcinoma. Oncotarget 2018; 8:33836-33843. [PMID: 27802182 PMCID: PMC5464915 DOI: 10.18632/oncotarget.12952] [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: 07/18/2016] [Accepted: 10/22/2016] [Indexed: 11/25/2022] Open
Abstract
Purpose This study is to investigate the use of dynamic contrast-enhanced magnetic resonance imaging in predicting early response to CRT (chemo-radiotherapy) in patients with larynx and hypopharynx carcinoma from primary tumors. Method Sixty-two patients with larynx and hypopharynx carcinoma underwent two DCE-MRI studies: a baseline exam before any treatmentanda post-treatment exam 3 weeks after CRT. At the end of treatment, patients were classified as responders, or non-responders according to the Response Evaluation Criteria in Solid Tumors criteria (RECIST). The time intensity curves (TIC) were extracted and processed to obtain time to peak (TTP), maximum slope of increase (MSI), maximum slope of decrease (MSD) and positive enhancement integral (PEI), and the semi-quantitative MRI parameters were compared and analyzed between the two groups. Results Fifty-four and 8 patients were included the responder and non-responder groups. It was observed that the MSI, MSD, and PEI were significantly lower post-treatment than pre-treatment(P < 0.05). The pretreatment MSI, MSD, and PEI parameters of responders were significantly higher than those of non-responders (P< 0.05). The post-treatment MSI, MSD, and PEI parameters of responders were significantly lower than those of non-responders (P< 0.05). Based on ROC curve analysis, at a threshold of 154.81 for pretreatment MSI, the corresponding AUC, sensitivity, and specificity were 0.882, 89.3% and 73.5%, respectively. Conclusion The semi-quantitative DCE-MRI may aid in the prediction of early response to CRT in patients with larynx and hypopharynx carcinoma.
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Affiliation(s)
- Wei Guo
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Dehong Luo
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Xinyi Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Meng Lin
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Lin Li
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Yanfeng Zhao
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Liang Yang
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Lei Hu
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Xinming Zhao
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
| | - Chunwu Zhou
- Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing,China
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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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Teng F, Aryal M, Lee J, Lee C, Shen X, Hawkins PG, Mierzwa M, Eisbruch A, Cao Y. Adaptive Boost Target Definition in High-Risk Head and Neck Cancer Based on Multi-imaging Risk Biomarkers. Int J Radiat Oncol Biol Phys 2017; 102:969-977. [PMID: 29428251 DOI: 10.1016/j.ijrobp.2017.12.269] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 12/06/2017] [Accepted: 12/14/2017] [Indexed: 11/19/2022]
Abstract
PURPOSE Positron emission tomography with 18F-deoxyglucose (FDG), dynamic contrast-enhanced magnetic resonance imaging (MRI), and diffusion-weighted MRI each identify unique risk factors for treatment outcomes in head and neck cancer (HNC). Clinical trials in HNC largely rely on a single imaging modality to define targets for boosting. This study aimed to investigate the spatial correspondence of FDG uptake, perfusion, and the apparent diffusion coefficient (ADC) in HNC and their response to chemoradiation therapy (CRT) and to determine the implications of this overlap or lack thereof for adaptive boosting. METHODS AND MATERIALS Forty patients with HNC enrolled in a clinical trial underwent FDG positron emission tomography-computed tomography before CRT and underwent dynamic contrast-enhanced and diffusion-weighted MRI scans before and during CRT. The gross tumor volume (GTV) of the primary tumor was contoured on post-gadolinium T1-weighted images. Tumor subvolumes with high FDG uptake, low blood volume (BV), and low ADC were created by using previously established thresholds. Spatial correspondences between subvolumes were analyzed using the Dice coefficient, and those between each pair of image parameters at voxel level were analyzed by Spearman rank correlation coefficients. RESULTS Prior to CRT, the median subvolumes of high FDG, low BV, and low ADC relative to the primary GTV were 20%, 21%, and 45%, respectively. Spearman correlation coefficients between BV and ADC varied from -0.47 to 0.22; between BV and FDG, from -0.08 to 0.59; and between ADC and FDG, from -0.68 to 0.25. Dice coefficients between subvolumes of FDG and BV, FDG and ADC, and BV and ADC were 10%, 46%, and 15%, respectively. The union of the 3 parameters was 64% of the GTV. The union of the subvolumes of BV and ADC was 56% of the GTV before CRT but was reduced significantly by 57% after 10 fractions of radiation therapy. CONCLUSIONS High FDG uptake, low BV, and low ADC as imaging risk biomarkers of HNC identify largely distinct tumor characteristics. A single imaging modality may not define the boosting target adequately.
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Affiliation(s)
- Feifei Teng
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Madhava Aryal
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Jae Lee
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Choonik Lee
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Xioajin Shen
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Peter G Hawkins
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Michelle Mierzwa
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Ann Arbor VA Hospital, Ann Arbor, Michigan
| | - Avraham Eisbruch
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Yue Cao
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiology, University of Michigan, Ann Arbor, Michigan; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
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Chawla S, Loevner LA, Kim SG, Hwang WT, Wang S, Verma G, Mohan S, LiVolsi V, Quon H, Poptani H. Dynamic Contrast-Enhanced MRI-Derived Intracellular Water Lifetime (τ i ): A Prognostic Marker for Patients with Head and Neck Squamous Cell Carcinomas. AJNR Am J Neuroradiol 2017; 39:138-144. [PMID: 29146716 DOI: 10.3174/ajnr.a5440] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 09/04/2017] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND PURPOSE Shutter-speed model analysis of dynamic contrast-enhanced MR imaging allows estimation of mean intracellular water molecule lifetime (a measure of cellular energy metabolism) and volume transfer constant (a measure of hemodynamics). The purpose of this study was to investigate the prognostic utility of pretreatment mean intracellular water molecule lifetime and volume transfer constant in predicting overall survival in patients with squamous cell carcinomas of the head and neck and to stratify p16-positive patients based upon survival outcome. MATERIALS AND METHODS A cohort of 60 patients underwent dynamic contrast-enhanced MR imaging before treatment. Median, mean intracellular water molecule lifetime and volume transfer constant values from metastatic nodes were computed from each patient. Kaplan-Meier analyses were performed to associate mean intracellular water molecule lifetime and volume transfer constant and their combination with overall survival for the first 2 years, 5 years, and beyond (median duration, >7 years). RESULTS By the last date of observation, 18 patients had died, and median follow-up for surviving patients (n = 42) was 8.32 years. Patients with high mean intracellular water molecule lifetime (4 deaths) had significantly (P = .01) prolonged overall survival by 5 years compared with those with low mean intracellular water molecule lifetime (13 deaths). Similarly, patients with high mean intracellular water molecule lifetime (4 deaths) had significantly (P = .006) longer overall survival at long-term duration than those with low mean intracellular water molecule lifetime (14 deaths). However, volume transfer constant was a significant predictor for only the 5-year follow-up period. There was some evidence (P < .10) to suggest that mean intracellular water molecule lifetime and volume transfer constant were associated with overall survival for the first 2 years. Patients with high mean intracellular water molecule lifetime and high volume transfer constant were associated with significantly (P < .01) longer overall survival compared with other groups for all follow-up periods. In addition, p16-positive patients with high mean intracellular water molecule lifetime and high volume transfer constant demonstrated a trend toward the longest overall survival. CONCLUSIONS A combined analysis of mean intracellular water molecule lifetime and volume transfer constant provided the best model to predict overall survival in patients with squamous cell carcinomas of the head and neck.
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Affiliation(s)
- S Chawla
- From the Departments of Radiology (S.C., L.A.L., S.G.K., S.W., G.V., S.M., H.P.)
| | - L A Loevner
- From the Departments of Radiology (S.C., L.A.L., S.G.K., S.W., G.V., S.M., H.P.)
| | - S G Kim
- From the Departments of Radiology (S.C., L.A.L., S.G.K., S.W., G.V., S.M., H.P.).,Department of Radiology (S.G.K.), New York University, New York, New York
| | - W-T Hwang
- Biostatistics and Epidemiology (W.-T.H.)
| | - S Wang
- From the Departments of Radiology (S.C., L.A.L., S.G.K., S.W., G.V., S.M., H.P.)
| | - G Verma
- From the Departments of Radiology (S.C., L.A.L., S.G.K., S.W., G.V., S.M., H.P.)
| | - S Mohan
- From the Departments of Radiology (S.C., L.A.L., S.G.K., S.W., G.V., S.M., H.P.)
| | - V LiVolsi
- Pathology and Lab Medicine (V.L.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - H Quon
- Radiation Oncology (H.Q.).,Department of Radiation Oncology and Molecular Radiation Sciences (H.Q.), Johns Hopkins University, Baltimore, Maryland
| | - H Poptani
- From the Departments of Radiology (S.C., L.A.L., S.G.K., S.W., G.V., S.M., H.P.) .,Department of Cellular and Molecular Physiology (H.P.), University of Liverpool, Liverpool, United Kingdom
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Bogowicz M, Riesterer O, Stark LS, Studer G, Unkelbach J, Guckenberger M, Tanadini-Lang S. Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma. Acta Oncol 2017; 56:1531-1536. [PMID: 28820287 DOI: 10.1080/0284186x.2017.1346382] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
PURPOSE An association between radiomic features extracted from CT and local tumor control in the head and neck squamous cell carcinoma (HNSCC) has been shown. This study investigated the value of pretreatment functional imaging (18F-FDG PET) radiomics for modeling of local tumor control. MATERIAL AND METHODS Data from HNSCC patients (n = 121) treated with definitive radiochemotherapy were used for model training. In total, 569 radiomic features were extracted from both contrast-enhanced CT and 18F-FDG PET images in the primary tumor region. CT, PET and combined PET/CT radiomic models to assess local tumor control were trained separately. Five feature selection and three classification methods were implemented. The performance of the models was quantified using concordance index (CI) in 5-fold cross validation in the training cohort. The best models, per image modality, were compared and verified in the independent validation cohort (n = 51). The difference in CI was investigated using bootstrapping. Additionally, the observed and radiomics-based estimated probabilities of local tumor control were compared between two risk groups. RESULTS The feature selection using principal component analysis and the classification based on the multivariabale Cox regression with backward selection of the variables resulted in the best models for all image modalities (CICT = 0.72, CIPET = 0.74, CIPET/CT = 0.77). Tumors more homogenous in CT density (decreased GLSZMsize_zone_entropy) and with a focused region of high FDG uptake (higher GLSZMSZLGE) indicated better prognosis. No significant difference in the performance of the models in the validation cohort was observed (CICT = 0.73, CIPET = 0.71, CIPET/CT = 0.73). However, the CT radiomics-based model overestimated the probability of tumor control in the poor prognostic group (predicted = 68%, observed = 56%). CONCLUSIONS Both CT and PET radiomics showed equally good discriminative power for local tumor control modeling in HNSCC. However, CT-based predictions overestimated the local control rate in the poor prognostic validation cohort, and thus, we recommend to base the local control modeling on the 18F-FDG PET.
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Affiliation(s)
- Marta Bogowicz
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Oliver Riesterer
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Luisa Sabrina Stark
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Gabriela Studer
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Jan Unkelbach
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Stephanie Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
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Nabavizadeh SA, Chawla S, Agarwal M, Mohan S. Chapter 8 On the Horizon: Advanced Imaging Techniques to Improve Noninvasive Assessment of Cervical Lymph Nodes. Semin Ultrasound CT MR 2017; 38:542-556. [PMID: 29031370 DOI: 10.1053/j.sult.2017.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Conventional imaging modalities are limited in the evaluation of lymph nodes as they predominantly rely on size and morphology, which have suboptimal sensitivity and specificity for malignancy. In this review we will explore the role of "on the horizon" advanced imaging modalities that can look beyond the size and morphologic features of a cervical lymph node and explore its molecular nature and can aid in personalizing therapy rather than use the "one-size-fits-all" approach.
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Affiliation(s)
- Seyed Ali Nabavizadeh
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Sanjeev Chawla
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Mohit Agarwal
- Division of Neuroradiology, Department of Radiology, Medical College of Wisconsin, Milwaukee, WI
| | - Suyash Mohan
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
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Chao SL, Metens T, Lemort M. TumourMetrics: a comprehensive clinical solution for the standardization of DCE-MRI analysis in research and routine use. Quant Imaging Med Surg 2017; 7:496-510. [PMID: 29184762 DOI: 10.21037/qims.2017.09.02] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background A reliable analysis methodology is needed to provide valuable imaging biomarkers for clinical trials, with particular regards to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) application using pharmacokinetic (PK) model analysis. In order to address this scientific challenge, we provided a comprehensive analysis solution that could overcome the impediments to clinical research and routine use. Methods TumourMetrics has been designed to meet the Quantitative Imaging Biomarkers Alliance (QIBA) v.1.0 profile. The quality performance was assessed using the QIBA test data and our customizable numeric phantom. The analysis workflow is made customizable to facilitate standardization of optimized protocol across centers. Results Our quantification workflow estimated the PK model parameters accurately. The method is robust, almost fully automatic and allows a direct integration of the results into the diagnostic workflow. Conclusions The analysis is easy-to-use and accessible for routine implementation of DCE-MRI into clinical practice.
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Affiliation(s)
- Shih-Li Chao
- Department of Radiology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Thierry Metens
- Department of Radiology, Hôpital Erasme CUB, Ecole Polytechnique & Faculté de Médecine Université Libre de Bruxelles, Brussels, Belgium
| | - Marc Lemort
- Department of Radiology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
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de Perrot T, Lenoir V, Domingo Ayllón M, Dulguerov N, Pusztaszeri M, Becker M. Apparent Diffusion Coefficient Histograms of Human Papillomavirus-Positive and Human Papillomavirus-Negative Head and Neck Squamous Cell Carcinoma: Assessment of Tumor Heterogeneity and Comparison with Histopathology. AJNR Am J Neuroradiol 2017; 38:2153-2160. [PMID: 28912282 DOI: 10.3174/ajnr.a5370] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 07/07/2017] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE Head and neck squamous cell carcinoma associated with human papillomavirus infection represents a distinct tumor entity. We hypothesized that diffusion phenotypes based on the histogram analysis of ADC values reflect distinct degrees of tumor heterogeneity in human papillomavirus-positive and human papillomavirus-negative head and neck squamous cell carcinomas. MATERIALS AND METHODS One hundred five consecutive patients (mean age, 64 years; range, 45-87 years) with primary oropharyngeal (n = 52) and oral cavity (n = 53) head and neck squamous cell carcinoma underwent MR imaging with anatomic and diffusion-weighted sequences (b = 0, b = 1000 s/mm2, monoexponential ADC calculation). The collected tumor voxels from the contoured ROIs provided histograms from which position, dispersion, and form parameters were computed. Histogram data were correlated with histopathology, p16-immunohistochemistry, and polymerase chain reaction for human papillomavirus DNA. RESULTS There were 21 human papillomavirus-positive and 84 human papillomavirus-negative head and neck squamous cell carcinomas. At histopathology, human papillomavirus-positive cancers were more often nonkeratinizing (13/21, 62%) than human papillomavirus-negative cancers (19/84, 23%; P = .001), and their mitotic index was higher (71% versus 49%; P = .005). ROI-based mean and median ADCs were significantly lower in human papillomavirus-positive (1014 ± 178 × 10-6 mm2/s and 970 ± 187 × 10-6 mm2/s, respectively) than in human papillomavirus-negative tumors (1184 ± 168 × 10-6 mm2/s and 1161 ± 175 × 10-6 mm2/s, respectively; P < .001), whereas excess kurtosis and skewness were significantly higher in human papillomavirus-positive (1.934 ± 1.386 and 0.923 ± 0.510, respectively) than in human papillomavirus-negative tumors (0.643 ± 0.982 and 0.399 ± 0.516, respectively; P < .001). Human papillomavirus-negative head and neck squamous cell carcinoma had symmetric normally distributed ADC histograms, which corresponded histologically to heterogeneous tumors with variable cellularity, high stromal component, keratin pearls, and necrosis. Human papillomavirus-positive head and neck squamous cell carcinomas had leptokurtic skewed right histograms, which corresponded to homogeneous tumors with back-to-back densely packed cells, scant stromal component, and scattered comedonecrosis. CONCLUSIONS Diffusion phenotypes of human papillomavirus-positive and human papillomavirus-negative head and neck squamous cell carcinomas show significant differences, which reflect their distinct degree of tumor heterogeneity.
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Affiliation(s)
- T de Perrot
- From the Division of Radiology, Department of Imaging and Medical Informatics (T.d.P., V.L., M.D.A., M.B.)
| | - V Lenoir
- From the Division of Radiology, Department of Imaging and Medical Informatics (T.d.P., V.L., M.D.A., M.B.)
| | - M Domingo Ayllón
- From the Division of Radiology, Department of Imaging and Medical Informatics (T.d.P., V.L., M.D.A., M.B.)
| | - N Dulguerov
- Division of Head and Neck Surgery, Department of Clinical Neurosciences (N.D.)
| | - M Pusztaszeri
- Division of Clinical Pathology, Department of Genetic and Laboratory Medicine (M.P.), Geneva University Hospitals, Geneva, Switzerland
| | - M Becker
- From the Division of Radiology, Department of Imaging and Medical Informatics (T.d.P., V.L., M.D.A., M.B.)
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Multiparametric magnetic resonance imaging in mucosal primary head and neck cancer: a prospective imaging biomarker study. BMC Cancer 2017; 17:475. [PMID: 28693449 PMCID: PMC5502487 DOI: 10.1186/s12885-017-3448-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 06/26/2017] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Radical radiotherapy, with or without concomitant chemotherapy forms the mainstay of organ preservation approaches in mucosal primary head and neck cancer. Despite technical advances in cancer imaging and radiotherapy administration, a significant proportion of patients fail to achieve a complete response to treatment. For those patients who do achieve a complete response, acute and late toxicities remain a cause of morbidity. A critical need therefore exists for imaging biomarkers which are capable of informing patient selection for both treatment intensification and de-escalation strategies. METHODS/DESIGN A prospective imaging study has been initiated, aiming to recruit patients undergoing radical radiotherapy (RT) or chemoradiotherapy (CRT) for mucosal primary head and neck cancer (MPHNC). Eligible patients are imaged using FDG-PET/CT before treatment, at the end of week 3 of treatment and 12 weeks after treatment completion according to local imaging policy. Functional MRI using diffusion weighted (DWI), blood oxygen level-dependent (BOLD) and dynamic contrast enhanced (DCE) sequences is carried out prior to, during and following treatment. Information regarding treatment outcomes will be collected, as well as physician-scored and patient-reported toxicity. DISCUSSION The primary objective is to determine the correlation of functional MRI sequences with tumour response as determined by FDG-PET/CT and clinical findings at 12 weeks post-treatment and with local control at 12 months post-treatment. Secondary objectives include prospective correlation of functional MRI and PET imaging with disease-free survival and overall survival, defining the optimal time points for functional MRI assessment of treatment response, and determining the sensitivity and specificity of functional MRI sequences for assessment of potential residual disease following treatment. If the study is able to successfully characterise tumours based on their functional MRI scan characteristics, this would pave the way for further studies refining treatment approaches based on prognostic and predictive imaging data. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12616000534482 (26 April 2016).
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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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Simoncic U, Leibfarth S, Welz S, Schwenzer N, Schmidt H, Reischl G, Pfannenberg C, Fougère CL, Nikolaou K, Zips D, Thorwarth D. Comparison of DCE-MRI kinetic parameters and FMISO-PET uptake parameters in head and neck cancer patients. Med Phys 2017; 44:2358-2368. [PMID: 28317128 PMCID: PMC5485084 DOI: 10.1002/mp.12228] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Revised: 03/08/2017] [Accepted: 03/12/2017] [Indexed: 11/09/2022] Open
Abstract
Purpose Tumor hypoxia is a major cause of radiation resistance, often present in various solid tumors. Dynamic [18F]‐fluoromisonidazole (FMISO) PET imaging is able to reliably assess tumor hypoxia. Comprehensive characterization of tumor microenvironment through FMISO‐PET and dynamic contrast enhanced (DCE) MR multimodality imaging might be a valuable alternative to the dynamic FMISO‐PET acquisition. The aim of this work was to explore the correlation between the FMISO‐PET and DCE‐MRI kinetic parameters. Methods This study was done on head and neck cancer patients (N = 6), who were imaged dynamically with FMISO‐PET and DCE‐MRI on the same day. Images were registered and analyzed for kinetics on a voxel basis. FMISO‐PET images were analyzed with the two‐tissue compartment three rate‐constant model. Additionally, tumor‐to‐muscle ratio (TMR) maps were evaluated. DCE‐MRI was analyzed with the extended Tofts model. Voxel‐wise Pearson's coefficients were calculated for each patient to assess pairwise parameter correlations. Results Median correlations between FMISO uptake parameters and DCE‐MRI kinetic parameters varied across the parameter pairs in the range from −0.05 to 0.71. The highest median correlation of r = 0.71 was observed for the pair Vb−vp, while the K1−Ktrans median correlation was r = 0.45. Median correlation coefficients for the K1−vp and the Ki−Ktrans pairs were r = 0.42 and r = 0.32, respectively. Correlations between FMISO uptake rate parameter Ki and DCE‐MRI kinetic parameters varied substantially across the patients, whereas correlations between the FMISO and DCE‐MRI vascular parameters were consistently high. Median TMR‐K1 and TMR‐Ktrans correlations were r = 0.52 and r = 0.46, respectively, but varied substantially across the patients. Conclusions Based on this clinical evidence, we can conclude that the vascular fraction parameters obtained through DCE‐MRI kinetic analysis or FMISO kinetic analysis measure the same biological property, while other kinetic parameters are unrelated. These results might be useful in the design of future clinical trials involving FMISO‐PET/DCE‐MR multimodality imaging for the assessment of tumor microenvironment.
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Affiliation(s)
- Urban Simoncic
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.,Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia.,Jozef Stefan Institute, Ljubljana, Slovenia
| | - Sara Leibfarth
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Stefan Welz
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Nina Schwenzer
- Diagnostic and Interventional Radiology, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Holger Schmidt
- Diagnostic and Interventional Radiology, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Gerald Reischl
- Preclinical Imaging and Radiopharmacy, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Christina Pfannenberg
- Diagnostic and Interventional Radiology, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Christian la Fougère
- Nuclear Medicine, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Konstantin Nikolaou
- Diagnostic and Interventional Radiology, Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Daniel Zips
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
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Wong KH, Panek R, Bhide SA, Nutting CM, Harrington KJ, Newbold KL. The emerging potential of magnetic resonance imaging in personalizing radiotherapy for head and neck cancer: an oncologist's perspective. Br J Radiol 2017; 90:20160768. [PMID: 28256151 DOI: 10.1259/bjr.20160768] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Head and neck cancer (HNC) is a challenging tumour site for radiotherapy delivery owing to its complex anatomy and proximity to organs at risk (OARs) such as the spinal cord and optic apparatus. Despite significant advances in radiotherapy planning techniques, radiation-induced morbidities remain substantial. Further improvement would require high-quality imaging and tailored radiotherapy based on intratreatment response. For these reasons, the use of MRI in radiotherapy planning for HNC is rapidly gaining popularity. MRI provides superior soft-tissue contrast in comparison with CT, allowing better definition of the tumour and OARs. The lack of additional radiation exposure is another attractive feature for intratreatment monitoring. In addition, advanced MRI techniques such as diffusion-weighted, dynamic contrast-enhanced and intrinsic susceptibility-weighted MRI techniques are capable of characterizing tumour biology further by providing quantitative functional parameters such as tissue cellularity, vascular permeability/perfusion and hypoxia. These functional parameters are known to have radiobiological relevance, which potentially could guide treatment adaptation based on their changes prior to or during radiotherapy. In this article, we first present an overview of the applications of anatomical MRI sequences in head and neck radiotherapy, followed by the potentials and limitations of functional MRI sequences in personalizing therapy.
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Affiliation(s)
- Kee H Wong
- 1 Head and neck unit, The Royal Marsden Hospital, London, UK.,2 Radiotherapy and imaging, The Institute of Cancer Research, London, UK
| | - Rafal Panek
- 1 Head and neck unit, The Royal Marsden Hospital, London, UK.,2 Radiotherapy and imaging, The Institute of Cancer Research, London, UK
| | - Shreerang A Bhide
- 1 Head and neck unit, The Royal Marsden Hospital, London, UK.,2 Radiotherapy and imaging, The Institute of Cancer Research, London, UK
| | - Christopher M Nutting
- 1 Head and neck unit, The Royal Marsden Hospital, London, UK.,2 Radiotherapy and imaging, The Institute of Cancer Research, London, UK
| | - Kevin J Harrington
- 1 Head and neck unit, The Royal Marsden Hospital, London, UK.,2 Radiotherapy and imaging, The Institute of Cancer Research, London, UK
| | - Katie L Newbold
- 1 Head and neck unit, The Royal Marsden Hospital, London, UK.,2 Radiotherapy and imaging, The Institute of Cancer Research, London, UK
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Pałasz P, Adamski Ł, Górska-Chrząstek M, Starzyńska A, Studniarek M. Contemporary Diagnostic Imaging of Oral Squamous Cell Carcinoma - A Review of Literature. Pol J Radiol 2017; 82:193-202. [PMID: 28439324 PMCID: PMC5391802 DOI: 10.12659/pjr.900892] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 08/10/2016] [Indexed: 01/18/2023] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the most common cancer of the oral cavity and constitutes 95% of all cancers of this area. Men are affected twice as commonly as women, primarily if they are over 50 years of age. Forty percent of the lesions are localized in the tongue and 30% in the floor of the oral cavity. OSCC often affects upper and lower gingiva, buccal mucous membrane, the retromolar triangle and the palate. The prognosis is poor and the five-year survival rate ranges from 20% (OSCC in the floor of the mouth) to 60% (OSCC in the alveolar part of the mandible). Treatment is difficult, because of the localization and the invasiveness of the available methods. The diagnosis is made based on a histopathological examination of a biopsy sample. The low detection rate of early oral SCC is a considerable clinical issue. Although the oral cavity can be easily examined, in the majority of cases oral SCC is diagnosed in its late stages. It is difficult to diagnose metastases in local lymph nodes and distant organs, which is important for planning the scope of resection and further treatment, graft implantation, and differentiation between reactive and metastatic lymph nodes as well as between disease recurrence and scars or adverse reactions after surgery or radiation therapy. Imaging studies are performed as part of the routine work-up in oral SCC. However, it is difficult to interpret the results at the early stages of the disease. The following imaging methods are used – dental radiographs, panoramic radiographs, magnetic resonance imaging with diffusion-weighted and dynamic sequences, perfusion computed tomography, cone beam computed tomography, single-photon emission computed tomography, hybrid methods (PET/CT, PET/MRI, SPECT/CT) and ultrasound. Some important clinical problems can be resolved with the use of novel modalities such as MRI with ADC sequences and PET. The aim of this article is to describe oral squamous cell carcinoma as it appears in different imaging methods considering both their advantages and limitations.
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Affiliation(s)
- Paulina Pałasz
- Department of Stomatology, Medical University of Gdańsk, Gdańsk, Poland.,Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Łukasz Adamski
- Department of Stomatology, Medical University of Gdańsk, Gdańsk, Poland.,Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Anna Starzyńska
- Department of Maxillofacial and Oral Surgery, Medical University of Gdańsk, Gdańsk, Poland
| | - Michał Studniarek
- Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland.,Department of Diagnostic Imaging, Medical University of Warsaw, Warsaw, Poland
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Chan SC, Cheng NM, Hsieh CH, Ng SH, Lin CY, Yen TC, Hsu CL, Wan HM, Liao CT, Chang KP, Wang JJ. Multiparametric imaging using 18F-FDG PET/CT heterogeneity parameters and functional MRI techniques: prognostic significance in patients with primary advanced oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiotherapy. Oncotarget 2017; 8:62606-62621. [PMID: 28977973 PMCID: PMC5617533 DOI: 10.18632/oncotarget.15904] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 02/20/2017] [Indexed: 01/22/2023] Open
Abstract
Background In this study, PET heterogeneity was combined with functional MRI techniques to refine the prediction of prognosis in patients with oropharyngeal or hypopharyngeal squamous cell carcinoma (OHSCC). Methods A total of 124 patients with primary advanced OHSCC who underwent pretreatment 18F-FDG PET/CT, dynamic contrast-enhanced MR imaging (DCE-MRI), and diffusion-weighted MR imaging (DWI) were enrolled. Conventional and heterogeneity parameters from 18F-FDG PET as well as perfusion parameters from DCE-MRI and diffusion parameter from DWI of primary tumors were analyzed in relation to recurrence-free survival (RFS) and overall survival (OS). Results Multivariate analysis identified hypopharyngeal tumors (P = 0.038), alcohol drinking (P = 0.006), Ktrans ≤ 0.5512 (P = 0.017), and Kep ≤ 0.8872 (P = 0.005) as adverse prognostic factors for RFS. Smoking (p = 0.009), Ktrans ≤ 0.5512 (P = 0.0002), Kep ≤ 0.8872 (P = 0.004), and the PET heterogeneity parameter uniformity ≤ 0.00381 (P = 0.028) were independent predictors of poor OS. The combination of PET uniformity with DCE-MRI parameters and smoking allowed distinguishing four prognostic groups, with 3-year OS rates of 100%, 76.6%, 57.4%, and 7.1%, respectively (P < 0.0001). This prognostic system appeared superior to both the TNM staging system (P = 0.186) and the combination of conventional PET parameters with DCE-MRI (P = 0.004). Conclusions Multiparametric imaging based on PET heterogeneity and DCE-MRI parameters combined with clinical risk factors is superior to the concomitant use of functional MRI coupled with conventional PET parameters. This approach may improve the prognostic stratification of OHSCC patients.
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Affiliation(s)
- Sheng-Chieh Chan
- Department of Nuclear Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan.,Molecular Imaging Center, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Nai-Ming Cheng
- Molecular Imaging Center, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.,Department of Nuclear Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Chia-Hsun Hsieh
- Department of Internal Medicine, Division of Medical Oncology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Shu-Hang Ng
- Department of Diagnostic Radiology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.,Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Chien-Yu Lin
- Department of Radiation Oncology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Tzu-Chen Yen
- Molecular Imaging Center, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.,Department of Nuclear Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Cheng-Lung Hsu
- Department of Internal Medicine, Division of Medical Oncology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Hung-Ming Wan
- Department of Internal Medicine, Division of Medical Oncology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Chun-Ta Liao
- Department of Otorhinolaryngology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Kai-Ping Chang
- Department of Otorhinolaryngology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Jiun-Jie Wang
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
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Aramburu Núñez D, Lopez Medina A, Mera Iglesias M, Salvador Gomez F, Dave A, Hatzoglou V, Paudyal R, Calzado A, Deasy JO, Shukla-Dave A, Muñoz VM. Multimodality functional imaging using DW-MRI and 18F-FDG-PET/CT during radiation therapy for human papillomavirus negative head and neck squamous cell carcinoma: Meixoeiro Hospital of Vigo Experience. World J Radiol 2017; 9:17-26. [PMID: 28144403 PMCID: PMC5241537 DOI: 10.4329/wjr.v9.i1.17] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 10/29/2016] [Accepted: 11/22/2016] [Indexed: 02/06/2023] Open
Abstract
AIM To noninvasively investigate tumor cellularity measured using diffusion-weighted magnetic resonance imaging (DW-MRI) and glucose metabolism measured by 18F-labeled fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) during radiation therapy (RT) for human papillomavirus negative (HPV-) head and neck squamous cell carcinoma (HNSCC).
METHODS In this prospective study, 6 HPV- HNSCC patients underwent a total of 34 multimodality imaging examinations (DW-MRI at 1.5 T Philips MRI scanner [(n = 24) pre-, during- (2-3 wk), and post-treatment (Tx), and 18F-FDG PET/CT pre- and post-Tx (n = 10)]. All patients received RT. Monoexponential modeling of the DW-MRI data yielded the imaging metric apparent diffusion coefficient (ADC) and the mean of standardized uptake value (SUV) was measured from 18F-FDG PET uptake. All patients had a clinical follow-up as the standard of care and survival status was documented at 1 year.
RESULTS There was a strong negative correlation between the mean of pretreatment ADC (ρ = -0.67, P = 0.01) and the pretreatment 18F-FDG PET SUV. The percentage (%) change in delta (∆) ADC for primary tumors and neck nodal metastases between pre- and Wk2-3 Tx were as follows: 75.4% and 61.6%, respectively, for the patient with no evidence of disease, 27.5% and 32.7%, respectively, for those patients who were alive with disease, and 26.9% and 7.31%, respectively, for those who were dead with disease.
CONCLUSION These results are preliminary in nature and are indicative, and not definitive, trends rendered by the imaging metrics due to the small sample size of HPV- HNSCC patients in a Meixoeiro Hospital of Vigo Experience.
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68
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Colliez F, Gallez B, Jordan BF. Assessing Tumor Oxygenation for Predicting Outcome in Radiation Oncology: A Review of Studies Correlating Tumor Hypoxic Status and Outcome in the Preclinical and Clinical Settings. Front Oncol 2017; 7:10. [PMID: 28180110 PMCID: PMC5263142 DOI: 10.3389/fonc.2017.00010] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Accepted: 01/10/2017] [Indexed: 12/30/2022] Open
Abstract
Tumor hypoxia is recognized as a limiting factor for the efficacy of radiotherapy, because it enhances tumor radioresistance. It is strongly suggested that assessing tumor oxygenation could help to predict the outcome of cancer patients undergoing radiation therapy. Strategies have also been developed to alleviate tumor hypoxia in order to radiosensitize tumors. In addition, oxygen mapping is critically needed for intensity modulated radiation therapy (IMRT), in which the most hypoxic regions require higher radiation doses and the most oxygenated regions require lower radiation doses. However, the assessment of tumor oxygenation is not yet included in day-to-day clinical practice. This is due to the lack of a method for the quantitative and non-invasive mapping of tumor oxygenation. To fully integrate tumor hypoxia parameters into effective improvements of the individually tailored radiation therapy protocols in cancer patients, methods allowing non-invasively repeated, safe, and robust mapping of changes in tissue oxygenation are required. In this review, non-invasive methods dedicated to assessing tumor oxygenation with the ultimate goal of predicting outcome in radiation oncology are presented, including positron emission tomography used with nitroimidazole tracers, magnetic resonance methods using endogenous contrasts (R1 and R2*-based methods), and electron paramagnetic resonance oximetry; the goal is to highlight results of studies establishing correlations between tumor hypoxic status and patients’ outcome in the preclinical and clinical settings.
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Affiliation(s)
- Florence Colliez
- Biomedical Magnetic Resonance Group, Louvain Drug Research Institute, Université Catholique de Louvain , Brussels , Belgium
| | - Bernard Gallez
- Biomedical Magnetic Resonance Group, Louvain Drug Research Institute, Université Catholique de Louvain , Brussels , Belgium
| | - Bénédicte F Jordan
- Biomedical Magnetic Resonance Group, Louvain Drug Research Institute, Université Catholique de Louvain , Brussels , Belgium
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Lambin P, Zindler J, Vanneste BGL, De Voorde LV, Eekers D, Compter I, Panth KM, Peerlings J, Larue RTHM, Deist TM, Jochems A, Lustberg T, van Soest J, de Jong EEC, Even AJG, Reymen B, Rekers N, van Gisbergen M, Roelofs E, Carvalho S, Leijenaar RTH, Zegers CML, Jacobs M, van Timmeren J, Brouwers P, Lal JA, Dubois L, Yaromina A, Van Limbergen EJ, Berbee M, van Elmpt W, Oberije C, Ramaekers B, Dekker A, Boersma LJ, Hoebers F, Smits KM, Berlanga AJ, Walsh S. Decision support systems for personalized and participative radiation oncology. Adv Drug Deliv Rev 2017; 109:131-153. [PMID: 26774327 DOI: 10.1016/j.addr.2016.01.006] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 12/08/2015] [Accepted: 01/06/2016] [Indexed: 12/12/2022]
Abstract
A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being supported by the development of clinical decision support systems based on prediction models of treatment outcome. In radiation oncology, these models 'learn' using advanced and innovative information technologies (ideally in a distributed fashion - please watch the animation: http://youtu.be/ZDJFOxpwqEA) from all available/appropriate medical data (clinical, treatment, imaging, biological/genetic, etc.) to achieve the highest possible accuracy with respect to prediction of tumor response and normal tissue toxicity. In this position paper, we deliver an overview of the factors that are associated with outcome in radiation oncology and discuss the methodology behind the development of accurate prediction models, which is a multi-faceted process. Subsequent to initial development/validation and clinical introduction, decision support systems should be constantly re-evaluated (through quality assurance procedures) in different patient datasets in order to refine and re-optimize the models, ensuring the continuous utility of the models. In the reasonably near future, decision support systems will be fully integrated within the clinic, with data and knowledge being shared in a standardized, dynamic, and potentially global manner enabling truly personalized and participative medicine.
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Affiliation(s)
- Philippe Lambin
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
| | - Jaap Zindler
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ben G L Vanneste
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Lien Van De Voorde
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Daniëlle Eekers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Inge Compter
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Kranthi Marella Panth
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Jurgen Peerlings
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ruben T H M Larue
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Timo M Deist
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Arthur Jochems
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Tim Lustberg
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Johan van Soest
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Evelyn E C de Jong
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Aniek J G Even
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Bart Reymen
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Nicolle Rekers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Marike van Gisbergen
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Erik Roelofs
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Sara Carvalho
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ralph T H Leijenaar
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Catharina M L Zegers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Maria Jacobs
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Janita van Timmeren
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Patricia Brouwers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Jonathan A Lal
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ludwig Dubois
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ala Yaromina
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Evert Jan Van Limbergen
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Maaike Berbee
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Cary Oberije
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Bram Ramaekers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Andre Dekker
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Liesbeth J Boersma
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Frank Hoebers
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Kim M Smits
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Adriana J Berlanga
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Sean Walsh
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Welsh L, Panek R, Riddell A, Wong K, Leach MO, Tavassoli M, Rahman D, Schmidt M, Hurley T, Grove L, Richards T, Koh DM, Nutting C, Harrington K, Newbold K, Bhide S. Blood transfusion during radical chemo-radiotherapy does not reduce tumour hypoxia in squamous cell cancer of the head and neck. Br J Cancer 2017; 116:28-35. [PMID: 27884018 PMCID: PMC5220150 DOI: 10.1038/bjc.2016.386] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Revised: 10/08/2016] [Accepted: 10/25/2016] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Patients with head and neck squamous cell carcinoma (HNSCC) undergoing radical chemo-radiation (CRT) frequently receive transfusion with packed red cells (PRCT) during radiotherapy on the basis that PRCT increases tumour oxygenation and overcomes hypoxia-induced radio-resistance. This is likely to be a significant oversimplification given the fact that tumour hypoxia is the result of several intrinsic and extrinsic factors, including many that are not directly related to serum haemoglobin (Hb). Therefore, we have studied the effect of PRCT on tumour oxygenation in a prospective cohort of patients who developed low Hb during radical CRT for HNSCC. METHODS This was a prospective study of 20 patients with HNSCC receiving radical CRT undergoing PRCT for Hb<11.5 g dl-1. Patients underwent pretransfusion and posttransfusion intrinsic susceptibility-weighted (SWI) MRI and dynamic contrast-enhanced (DCE) MRI. Blood samples were obtained at the time of MRI scanning and two further time points for measuring Hb and a panel of serum cytokine markers of tumour hypoxia. 3D T2* and Ktrans maps were calculated from the MRI data for primary tumours and cervical lymph node metastases. RESULTS PRCT produced no change (11 patients) or reduced (1 patient) T2* (tumour oxygenation) in 12 of the 16 (75%) evaluable primary tumours. Three of the four patients with improved tumour oxygenation progressed or had partial response following treatment completion. There were variable changes in Ktrans (tumour perfusion or vessel permeability) following PRCT that were of small magnitude for most tumours. Pre- and Post-PRCT levels of measured cytokines were not significantly different. CONCLUSIONS This study suggests that PRCT during radical CRT for HNSCC does not improve tumour oxygenation. Therefore, oncologists should consider changing practice according to NICE and American Association of Blood Banks guidelines on PRCT for anaemia.
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Affiliation(s)
- Liam Welsh
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Rafal Panek
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Angela Riddell
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
| | - Kee Wong
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Martin O Leach
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Mahvash Tavassoli
- King's College, Floor 2, Hodgkin Building, Guy's, London SE1 9RT, UK
| | - Durdana Rahman
- King's College, Floor 2, Hodgkin Building, Guy's, London SE1 9RT, UK
| | - Maria Schmidt
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Tara Hurley
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
| | - Lorna Grove
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
| | - Thomas Richards
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Dow-Mu Koh
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Christopher Nutting
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Kevin Harrington
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Kate Newbold
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Shreerang Bhide
- The Royal Marsden Hospital, Fulham Road, London SW3 6JJ, UK
- The Royal Marsde Hospital, Downs Road, Sutton SM2 5PT, UK
- Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
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Detection of Local Tumor Recurrence After Definitive Treatment of Head and Neck Squamous Cell Carcinoma: Histogram Analysis of Dynamic Contrast-Enhanced T1-Weighted Perfusion MRI. AJR Am J Roentgenol 2017; 208:42-47. [DOI: 10.2214/ajr.16.16127] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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72
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Guo P, Liu Z, Yan F, Wang J, Wei L, Lv H, Wang Z, Xian J. Prediction of the response of ocular adnexal lymphoma to chemotherapy using combined pretreatment dynamic contrast-enhanced and diffusion-weighted MRI. Acta Radiol 2016; 57:1490-1496. [PMID: 27012277 DOI: 10.1177/0284185116631181] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background There are no established biomarkers predictive of the efficacy of treatment for ocular adnexal lymphoma (OAL). Purpose To evaluate the effectiveness of pretreatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) in predicting the response of OAL to chemotherapy. Material and Methods Twenty-one patients, who were pathologically diagnosed with OAL, were retrospectively analyzed. According to the National Comprehensive Cancer Network (NCCN) response evaluation criteria for non-Hodgkin's lymphoma, patients were divided into responders (n = 14) and non-responders (n = 7). The volume transfer constant (Ktrans), rate constant (Kep), extracellular extravascular volume fraction (Ve), and apparent diffusion coefficient (ADC) were computed. Two independent-sample tests were applied for statistical analysis. For significantly different parameters, receiver-operator characteristics curve analysis was performed. Results The Ktrans value (min-1), Kep value (min-1), and ADC value (10-3 mm2/s) were 0.76 ± 0.36 vs. 0.47 ± 0.18 (mean ± SD), 4.43 ± 1.29 vs. 3.14 ± 1.37, and 0.51 ± 0.12 vs. 0.66 ± 0.15, respectively, in the responders and non-responders groups. Significant differences were found between the two groups regarding these parameters ( P < 0.05). However, no significant difference was observed in Ve (min-1) between the groups ( P > 0.05). Ktrans, Kep, and ADC had a moderately predictive sensitivity or specificity. When Ktrans and ADC or the three parameters were combined, a considerably higher sensitivity (85.7%) and specificity (85.7%) with a significant discriminative accuracy (area under the curve = 0.929; P = 0.002) was found. Conclusion Ktrans, Kep, and ADC could potentially predict OAL response to chemotherapy. A combination of these DWI and DCE-MRI quantitative parameters might increase sensitivity and specificity.
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Affiliation(s)
- Pengde Guo
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, PR China
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Zhaohui Liu
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Fei Yan
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Jingwen Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Liqiang Wei
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Han Lv
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China
| | - Junfang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, PR China
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73
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Dinapoli N, Tartaglione T, Bussu F, Autorino R, Miccichè F, Sciandra M, Visconti E, Colosimo C, Paludetti G, Valentini V. Modelling tumour volume variations in head and neck cancer: contribution of magnetic resonance imaging for patients undergoing induction chemotherapy. ACTA OTORHINOLARYNGOLOGICA ITALICA 2016; 37:9-16. [PMID: 27897274 PMCID: PMC5384316 DOI: 10.14639/0392-100x-906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 03/04/2016] [Indexed: 11/23/2022]
Abstract
Primary tumour volume evaluation has predictive value for estimating survival outcomes. Using volumetric data acquired by MRI in patients undergoing induction chemotherapy (IC) these outcomes were estimated before the radiotherapy course in head and neck cancer (HNC) patients. MRI performed before and after IC in 36 locally advanced HNC patients were analysed to measure primary tumour volume. The two volumes were correlated using the linear-log ratio (LLR) between the volume in the first MRI and the volume in the second. Cox's proportional hazards models (CPHM) were defined for loco-regional control (LRC), disease-free survival (DFS) and overall survival (OS). Strict evaluation of the influence of volume delineation uncertainties on prediction of final outcomes has been defined. LLR showed good predictive value for all survival outcomes in CPHM. Predictive models for LRC and DFS at 24 months showed optimal discrimination and prediction capability. Evaluation of primary tumour volume variations in HNC after IC provides an example of modelling that can be easily used even for other adaptive treatment approaches. A complete assessment of uncertainties in covariates required for running models is a prerequisite to create reliable clinically models.
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Affiliation(s)
- N Dinapoli
- Institute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy
| | - T Tartaglione
- Institute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - F Bussu
- Institute of Otolaryngology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - R Autorino
- Institute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy
| | - F Miccichè
- Institute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy
| | - M Sciandra
- Institute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - E Visconti
- Institute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - C Colosimo
- Institute of Radiology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - G Paludetti
- Institute of Otolaryngology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - V Valentini
- Institute of Radiotherapy, Università Cattolica del Sacro Cuore, Rome, Italy
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74
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Jansen JFA, Parra C, Lu Y, Shukla-Dave A. Evaluation of Head and Neck Tumors with Functional MR Imaging. Magn Reson Imaging Clin N Am 2016; 24:123-133. [PMID: 26613878 DOI: 10.1016/j.mric.2015.08.011] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Head and neck cancer is one of the most common cancers worldwide. MR imaging-based diffusion and perfusion techniques enable the noninvasive assessment of tumor biology and physiology, which supplement information obtained from standard structural scans. Diffusion and perfusion MR imaging techniques provide novel biomarkers that can aid monitoring in pretreatment, during treatment, and posttreatment stages to improve patient selection for therapeutic strategies; provide evidence for change of therapy regime; and evaluate treatment response. This review discusses pertinent aspects of the role of diffusion and perfusion MR imaging and computational analysis methods in studying head and neck cancer.
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Affiliation(s)
- Jacobus F A Jansen
- Department of Radiology, Maastricht University Medical Center, PO Box 5800, Maastricht 6202 AZ, The Netherlands.
| | - Carlos Parra
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Yonggang Lu
- Department of Radiation Oncology, University of Washington, 4921 Parkview Pl, St Louis, MO 63110, USA
| | - Amita Shukla-Dave
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
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75
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King AD, Thoeny HC. Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations. Cancer Imaging 2016; 16:23. [PMID: 27542718 PMCID: PMC4992206 DOI: 10.1186/s40644-016-0080-6] [Citation(s) in RCA: 80] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 08/02/2016] [Indexed: 12/27/2022] Open
Abstract
Pre-treatment or early intra-treatment prediction of patients with head and neck squamous cell carcinomas (HNSCC) who are likely to have tumours that are resistant to chemoradiotherapy (CRT) would enable treatment regimens to be changed at an early time point, or allow patients at risk of residual disease to be targeted for more intensive post-treatment investigation. Research into the potential advantages of using functional-based magnetic resonance imaging (MRI) sequences before or during cancer treatments to predict treatment response has been ongoing for several years. In regard to HNSCC, the reported results from functional MRI research are promising but they have yet to be transferred to the clinical domain. This article will review the functional MRI literature in HNSCC to determine the current status of the research and try to identify areas that are close to application in clinical practice. This review will focus on diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE–MRI) and briefly include proton magnetic resonance spectroscopy (1H-MRS)and blood oxygen level dependent (BOLD) MRI.
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Affiliation(s)
- Ann D King
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong S.A.R. China.
| | - Harriet C Thoeny
- Department of Radiology, Neuroradiology and Nuclear Medicine, Inselspital, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland
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76
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Yuan J, Lo G, King AD. Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers. Quant Imaging Med Surg 2016; 6:430-448. [PMID: 27709079 PMCID: PMC5009093 DOI: 10.21037/qims.2016.06.11] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 05/27/2016] [Indexed: 01/05/2023]
Abstract
Radiation therapy (RT), in particular intensity-modulated radiation therapy (IMRT), is becoming a more important nonsurgical treatment strategy in head and neck cancer (HNC). The further development of IMRT imposes more critical requirements on clinical imaging, and these requirements cannot be fully fulfilled by the existing radiotherapeutic imaging workhorse of X-ray based imaging methods. Magnetic resonance imaging (MRI) has increasingly gained more interests from radiation oncology community and holds great potential for RT applications, mainly due to its non-ionizing radiation nature and superior soft tissue image contrast. Beyond anatomical imaging, MRI provides a variety of functional imaging techniques to investigate the functionality and metabolism of living tissue. The major purpose of this paper is to give a concise and timely review of some advanced functional MRI techniques that may potentially benefit conformal, tailored and adaptive RT in the HNC. The basic principle of each functional MRI technique is briefly introduced and their use in RT of HNC is described. Limitation and future development of these functional MRI techniques for HNC radiotherapeutic applications are discussed. More rigorous studies are warranted to translate the hypotheses into credible evidences in order to establish the role of functional MRI in the clinical practice of head and neck radiation oncology.
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Affiliation(s)
- Jing Yuan
- Department of Medical Physics and Research, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong SAR, China
| | - Gladys Lo
- Department of Diagnostic & Interventional Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong SAR, China
| | - Ann D. King
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
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77
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Wong AJ, Kanwar A, Mohamed AS, Fuller CD. Radiomics in head and neck cancer: from exploration to application. Transl Cancer Res 2016; 5:371-382. [PMID: 30627523 DOI: 10.21037/tcr.2016.07.18] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
In the context of clinical oncology, a fundamental goal of radiomics is the extraction of large amounts of quantitative features whose subsequent analysis can be used for decision support towards personalized and actionable cancer care. Head and neck cancers present a unique set of diagnostic and therapeutic challenges by nature of its complex anatomy and heterogeneity. Radiomics holds the potential to address these barriers, but only if as a collective field we direct future effort towards investigating specific oncologic function and oncologic outcomes, with external validation and collaborative multi-institutional efforts to begin standardizing and refining radiomic signatures. Here we present an overview of radiomic texture analysis methods as well as the software infrastructure, review the developments of radiomics in head and neck cancer applications, discuss unmet challenges, and propose key recommendations for moving the field forward.
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Affiliation(s)
- Andrew J Wong
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Aasheesh Kanwar
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,School of Medicine, Texas Tech University Health Science Center, Lubbock, TX, USA
| | - Abdallah S Mohamed
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Clinical Oncology, University of Alexandria, Alexandria, Egypt
| | - Clifton D Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA
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78
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Min M, Lin P, Liney G, Lee M, Forstner D, Fowler A, Holloway L. A review of the predictive role of functional imaging in patients with mucosal primary head and neck cancer treated with radiation therapy. J Med Imaging Radiat Oncol 2016; 61:99-123. [DOI: 10.1111/1754-9485.12496] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Accepted: 06/11/2016] [Indexed: 12/14/2022]
Affiliation(s)
- Myo Min
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
| | - Peter Lin
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Department of Nuclear Medicine and Positron Emission Tomography; Liverpool Hospital; Liverpool New South Wales Australia
- University of Western Sydney; Sydney New South Wales Australia
| | - Gary Liney
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
| | - Mark Lee
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
| | - Dion Forstner
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
| | - Allan Fowler
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
| | - Lois Holloway
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Clinical School; University of New South Wales; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
- Institute of Medical Physics; School of Physics; University of Sydney; Sydney New South Wales Australia
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79
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Lai YL, Wu CY, Chao KSC. Biological imaging in clinical oncology: radiation therapy based on functional imaging. Int J Clin Oncol 2016; 21:626-632. [PMID: 27384183 DOI: 10.1007/s10147-016-1000-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 05/29/2016] [Indexed: 12/25/2022]
Abstract
Radiation therapy is one of the most effective tools for cancer treatment. In recent years, intensity-modulated radiation therapy has become increasingly popular in that target dose-escalation can be done while sparing adjacent normal tissues. For this reason, the development of measures to pave the way for accurate target delineation is of great interest. With the integration of functional information obtained by biological imaging with radiotherapy, strategies using advanced biological imaging to visualize metabolic pathways and to improve therapeutic index and predict treatment response are discussed in this article.
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Affiliation(s)
- Yo-Liang Lai
- Department of Radiation Oncology, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Chun-Yi Wu
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan
| | - K S Clifford Chao
- China Medical University, 91 Hsueh-Shih Road, Taichung, 40402, Taiwan.
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80
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Abstract
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized medicine. In this technical review, we describe applications and challenges of the radiomic field. We will review radiomic application areas and technical issues, as well as proper practices for the designs of radiomic studies.
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Affiliation(s)
- Stephen S F Yip
- Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
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81
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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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82
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Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer. AJR Am J Roentgenol 2016; 207:248-56. [PMID: 27163282 DOI: 10.2214/ajr.16.16265] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE This article explores recent developments in PET and MRI, separately or combined, for assessing metastatic lymph nodes in patients with head and neck cancer. CONCLUSION The synergistic role of PET and MRI for imaging metastatic lymph nodes has not been fully explored. To facilitate the understanding of the areas that need further investigation, we discuss potential mechanisms and evidence reported so far, as well as future directions and challenges for continued development and clinical research.
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83
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Abstract
One early application of PET/MRI in clinical practice may be the imaging of head and neck cancers. This is because the morphologic imaging modalities, CT and MR, are recognized as similarly effective tools in cross-sectional oncological imaging of the head and neck. The addition of PET with FDG is believed to enhance the accuracy of both modalities to a similar degree. However, there are a few specific scenarios in head and neck cancer imaging where MR is thought to provide an edge over CT, including perineural spread of tumors and the infiltration of important anatomical landmarks, such as the prevertebral fascia and great vessel walls. Here, hybrid PET/MR might provide higher diagnostic certainty than PET/CT or a separate acquisition of PET/CT and MR. Another advantage of MR is the availability of several functional techniques. Although some of them might enhance the imaging of head and neck cancer with PET/MR, other functional techniques actually might prove dispensable in the presence of PET. In this overview, we discuss current trends and potential clinical applications of PET/MR in the imaging of head and neck cancers, including clinical protocols. We also discuss potential benefits of implementing functional MR techniques into hybrid PET/MRI of head and neck cancers.
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Affiliation(s)
- Marcelo A Queiroz
- Research and Education Institute, Hospital Sirio-Libanes, Sao Paulo, Brazil; Department of Radiology, Cancer Institute, Hospital das Clinicas/University of Sao Paulo, Sao Paulo, Brazil
| | - Martin W Huellner
- Research and Education Institute, Hospital Sirio-Libanes, Sao Paulo, Brazil; Department of Medical Radiology, Divisions of Nuclear Medicine and Neuroradiology,University Hospital Zurich/University of Zurich, Zurich, Switzerland.
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84
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Ng SH, Liao CT, Lin CY, Chan SC, Lin YC, Yen TC, Chang JTC, Ko SF, Fan KH, Wang HM, Yang LY, Wang JJ. Dynamic contrast-enhanced MRI, diffusion-weighted MRI and 18F-FDG PET/CT for the prediction of survival in oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiation. Eur Radiol 2016; 26:4162-4172. [PMID: 26911889 DOI: 10.1007/s00330-016-4276-8] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 02/03/2016] [Accepted: 02/08/2016] [Indexed: 12/20/2022]
Abstract
OBJECTIVES We prospectively investigated the roles of pretreatment dynamic contrast-enhanced MR imaging (DCE-MRI), diffusion-weighted MR imaging (DWI) and 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG PET)/CT for predicting survival of oropharyngeal or hypopharyngeal squamous cell carcinoma (OHSCC) patients treated with chemoradiation. METHODS Patients with histologically proven OHSCC and neck nodal metastases scheduled for chemoradiation were eligible. Clinical variables as well as DCE-MRI-, DWI- and 18F-FDG PET/CT-derived parameters of the primary tumours and metastatic neck nodes were analysed in relation to 3-year progression-free survival (PFS) and overall survival (OS) rates. RESULTS Eighty-six patients were available for analysis. Multivariate analysis identified the efflux rate constant (K ep)-tumour < 3.79 min-1 (P = 0.001), relative volume of extracellular extravascular space (V e)-node < 0.23 (P = 0.004) and SUVmax-tumour > 19.44 (P = 0.025) as independent risk factors for both PFS and OS. A scoring system based upon the sum of each of the three imaging parameters allowed stratification of our patients into three groups (patients with 0/1 factor, patients with 2 factors and patients with 3 factors, respectively) with distinct PFS (3-year rates = 72 %, 38 % and 0 %, P < 0.0001) and OS (3-year rates = 81 %, 46 % and 20 %, P < 0.0001). CONCLUSIONS K ep-tumour, V e-node and SUVmax-tumour were independent prognosticators for OHSCC treated with chemoradiation. Their combination helped survival stratification. KEY POINTS • K ep -tumour, V e -node and SUV max -tumour are independent predictors of survival rates. • The combination of these three prognosticators may help stratification of survival. • MRI and FDG-PET/CT play complementary roles in prognostication of head and neck cancer.
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Affiliation(s)
- Shu-Hang Ng
- Molecular Imaging Center, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung Memorial Hospital, Chang Gung University, 259 Wen Hua 1st Road, Kueishan, Taoyuan, 333, Taiwan
| | - Chun-Ta Liao
- Department of Otorhinolaryngology, Head and Neck Surgery, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Chien-Yu Lin
- Department of Radiation Oncology, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Sheng-Chieh Chan
- Molecular Imaging Center, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
- Department of Nuclear Medicine, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Yu-Chun Lin
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung Memorial Hospital, Chang Gung University, 259 Wen Hua 1st Road, Kueishan, Taoyuan, 333, Taiwan
| | - Tzu-Chen Yen
- Molecular Imaging Center, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
- Department of Nuclear Medicine, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Joseph Tung-Chieh Chang
- Department of Radiation Oncology, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Sheung-Fat Ko
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Kang-Hsing Fan
- Department of Radiation Oncology, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Hung-Ming Wang
- Department of Medical Oncology, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Lan-Yan Yang
- Biostatistics and Informatics Unit, Chang Gung Memorial Hospital, Chang Gung University, Kueishan, Taoyuan, Taiwan
| | - Jiun-Jie Wang
- Department of Medical Imaging and Radiological Sciences, Chang Gung Memorial Hospital, Chang Gung University, 259 Wen Hua 1st Road, Kueishan, Taoyuan, 333, Taiwan.
- Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Keelung, Taiwan.
- Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University / Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
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85
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Jansen JFA, Lu Y, Gupta G, Lee NY, Stambuk HE, Mazaheri Y, Deasy JO, Shukla-Dave A. Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer. World J Radiol 2016; 8:90-97. [PMID: 26834947 PMCID: PMC4731352 DOI: 10.4329/wjr.v8.i1.90] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 09/24/2015] [Accepted: 11/25/2015] [Indexed: 02/06/2023] Open
Abstract
AIM: To investigate the merits of texture analysis on parametric maps derived from pharmacokinetic modeling with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as imaging biomarkers for the prediction of treatment response in patients with head and neck squamous cell carcinoma (HNSCC).
METHODS: In this retrospective study, 19 HNSCC patients underwent pre- and intra-treatment DCE-MRI scans at a 1.5T MRI scanner. All patients had chemo-radiation treatment. Pharmacokinetic modeling was performed on the acquired DCE-MRI images, generating maps of volume transfer rate (Ktrans) and volume fraction of the extravascular extracellular space (ve). Image texture analysis was then employed on maps of Ktrans and ve, generating two texture measures: Energy (E) and homogeneity.
RESULTS: No significant changes were found for the mean and standard deviation for Ktrans and ve between pre- and intra-treatment (P > 0.09). Texture analysis revealed that the imaging biomarker E of ve was significantly higher in intra-treatment scans, relative to pretreatment scans (P < 0.04).
CONCLUSION: Chemo-radiation treatment in HNSCC significantly reduces the heterogeneity of tumors.
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86
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King AD, Chow SKK, Yu KH, Mo FKF, Yeung DKW, Yuan J, Law BKH, Bhatia KS, Vlantis AC, Ahuja AT. DCE-MRI for Pre-Treatment Prediction and Post-Treatment Assessment of Treatment Response in Sites of Squamous Cell Carcinoma in the Head and Neck. PLoS One 2015; 10:e0144770. [PMID: 26657972 PMCID: PMC4684338 DOI: 10.1371/journal.pone.0144770] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 11/23/2015] [Indexed: 12/17/2022] Open
Abstract
Background and Purpose It is important to identify patients with head and neck squamous cell carcinoma (SCC) who fail to respond to chemoradiotherapy so that they can undergo post-treatment salvage surgery while the disease is still operable. This study aimed to determine the diagnostic performance of dynamic contrast enhanced (DCE)-MRI using a pharmacokinetic model for pre-treatment predictive imaging, as well as post-treatment diagnosis, of residual SCC at primary and nodal sites in the head and neck. Material and Methods Forty-nine patients with 83 SCC sites (primary and/or nodal) underwent pre-treatment DCE-MRI, and 43 patients underwent post-treatment DCE-MRI, of which 33 SCC sites had a residual mass amenable to analysis. Pre-treatment, post-treatment and % change in the mean Ktrans, kep, ve and AUGC were obtained from SCC sites. Logistic regression was used to correlate DCE parameters at each SCC site with treatment response at the same site, based on clinical outcome at that site at a minimum of two years. Results None of the pre-treatment DCE-MRI parameters showed significant correlations with SCC site failure (SF) (29/83 sites) or site control (SC) (54/83 sites). Post-treatment residual masses with SF (14/33) had significantly higher kep (p = 0.05), higher AUGC (p = 0.02), and lower % reduction in AUGC (p = 0.02), than residual masses with SC (19/33), with the % change in AUGC remaining significant on multivariate analysis. Conclusion Pre-treatment DCE-MRI did not predict which SCC sites would fail treatment, but post-treatment DCE-MRI showed potential for identifying residual masses that had failed treatment.
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Affiliation(s)
- Ann D. King
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong S.A.R., China
- * E-mail:
| | - Steven Kwok Keung Chow
- School of Physics, Faculty of Engineering and Information Sciences, University of Wollongong, Australia
| | | | - Frankie Kwok Fai Mo
- Department of Clinical Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong S.A.R., China
| | - David K. W. Yeung
- Department of Clinical Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong S.A.R., China
| | - Jing Yuan
- Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Hong Kong S.A.R., China
| | - Benjamin King Hong Law
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong S.A.R., China
| | - Kunwar S. Bhatia
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong S.A.R., China
| | - Alexander C. Vlantis
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong S.A.R. China
| | - Anil T. Ahuja
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong S.A.R., China
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87
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Prestwich R, Vaidyanathan S, Scarsbrook A. Functional Imaging Biomarkers: Potential to Guide an Individualised Approach to Radiotherapy. Clin Oncol (R Coll Radiol) 2015; 27:588-600. [DOI: 10.1016/j.clon.2015.06.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 06/02/2015] [Accepted: 06/08/2015] [Indexed: 02/03/2023]
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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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89
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Thorwarth D. Functional imaging for radiotherapy treatment planning: current status and future directions-a review. Br J Radiol 2015; 88:20150056. [PMID: 25827209 PMCID: PMC4628531 DOI: 10.1259/bjr.20150056] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
In recent years, radiotherapy (RT) has been subject to a number of technological innovations. Today, RT is extremely flexible, allowing irradiation of tumours with high doses, whilst also sparing normal tissues from doses. To make use of these additional degrees of freedom, integration of functional image information may play a key role (i) for better staging and tumour detection, (ii) for more accurate RT target volume delineation, (iii) to assess functional information about biological characteristics and individual radiation resistance and (iv) to apply personalized dose prescriptions. In this article, we discuss the current status and future directions of different clinically available functional imaging modalities; CT, MRI, positron emission tomography (PET) as well as the hybrid imaging techniques PET/CT and PET/MRI and their potential for individualized RT.
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Affiliation(s)
- D Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, Eberhard Karls University Tübingen, Tübingen, Germany
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90
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Abe T, Mizobuchi Y, Nakajima K, Otomi Y, Irahara S, Obama Y, Majigsuren M, Khashbat D, Kageji T, Nagahiro S, Harada M. Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with a short acquisition time. SPRINGERPLUS 2015; 4:88. [PMID: 25793147 PMCID: PMC4359190 DOI: 10.1186/s40064-015-0861-6] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 01/29/2015] [Indexed: 12/02/2022]
Abstract
This study sought to determine the diagnostic utility of perfusion parameters derived from dynamic contrast-enhanced (DCE) perfusion MRI with a short acquisition time (approximately 3.5 min) in patients with glioma, brain metastasis, and primary CNS lymphoma (PCNSL). Twenty-six patients with 29 lesions (4 low-grade glioma, 13 high-grade glioma, 7 metastasis, and 5 PCNSL) underwent DCE-MRI in a 3 T scanner. A ROI was placed on the hotspot of each tumor in maps for volume transfer contrast Ktrans, extravascular extracellular volume Ve, and fractional plasma volume Vp. We analyzed differences in parameters between tumors using the Mann–Whitney U test. We calculated sensitivity and specificity using receiver operating characteristics analysis. Mean Ktrans values of LGG, HGG, metastasis and PCNSL were 0.034, 0.31, 0.38, 0.44, respectively. Mean Ve values of each tumors was 0.036, 0.57, 0.47, 0.96, and mean Vp value of each tumors was 0.070, 0.086, 0.26, 0.17, respectively. Compared with other tumor types, low-grade glioma showed lower Ktrans (P < 0.01, sensitivity = 88%, specificity = 100%) and lower Ve (P < 0.01, sensitivity = 96%, specificity = 100%). PCNSL showed higher Ve (P < 0.01, sensitivity = 100%, specificity = 88%), but the other perfusion parameters overlapped with those of different histology. Kinetic parameters derived from DCE-MRI with short acquisition time provide useful information for the differential diagnosis of brain tumors.
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Affiliation(s)
- Takashi Abe
- Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima City, Tokushima 770-8509 Japan
| | - Yoshifumi Mizobuchi
- Departments of Neurosurgery, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan
| | - Kohei Nakajima
- Departments of Neurosurgery, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan
| | - Yoichi Otomi
- Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima City, Tokushima 770-8509 Japan
| | - Saho Irahara
- Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima City, Tokushima 770-8509 Japan
| | - Yuki Obama
- Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima City, Tokushima 770-8509 Japan
| | - Mungunkhuyag Majigsuren
- Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima City, Tokushima 770-8509 Japan
| | - Delgerdalai Khashbat
- Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima City, Tokushima 770-8509 Japan
| | - Teruyoshi Kageji
- Departments of Neurosurgery, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan
| | - Shinji Nagahiro
- Departments of Neurosurgery, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan
| | - Masafumi Harada
- Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima City, Tokushima 770-8509 Japan
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91
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Bernstein JM, Kershaw LE, Withey SB, Lowe NM, Homer JJ, Slevin NJ, Bonington SC, Carrington BM, West CM. Tumor plasma flow determined by dynamic contrast-enhanced MRI predicts response to induction chemotherapy in head and neck cancer. Oral Oncol 2015; 51:508-13. [PMID: 25700703 DOI: 10.1016/j.oraloncology.2015.01.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 01/19/2015] [Accepted: 01/24/2015] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Non-response to induction chemotherapy (IC) occurs in 30% of head and neck squamous cell carcinoma (HNSCC) and has been predicted by tumor plasma flow (Fp) derived by perfusion computed tomography. The present study was designed to test whether baseline tumor Fp determined by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) would predict IC response. MATERIALS AND METHODS A prospective open study powered to test the relationship between tumor Fp and response to IC (docetaxel, cisplatin, 5-fluorouracil) enrolled 50 patients with stage IV HNSCC. Response after two IC cycles was measured by MRI using Response Evaluation Criteria in Solid Tumors in 37 patients. Tumor Fp (primary end point) and multiple parameters in tumors and lymph nodes (secondary end points) were generated at baseline. Differences in baseline DCE-MRI parameters according to IC response were assessed by the Mann-Whitney U test, and predictive value by receiver operating characteristic (ROC) analysis. RESULTS Median baseline tumor Fp was 53.2ml/100ml/min in 25 responders and 23.9 in 12 non-responders (U 82; P=0.027; area under ROC curve (AUC) 0.73). Median baseline Fp in lymph nodes was 25.8ml/100ml/min for 37 nodes in 25 responders and 17.1 for 15 nodes in 12 non-responders (U 186, P=0.066; AUC 0.67). Frequency of IC response in 37 patients was 68% overall, 83% for tumor Fp above the median (40.6ml/100ml/min) and 45% below the median. Other DCE-MRI parameters were not associated with IC response. CONCLUSION Pre-treatment tumor Fp determined by DCE-MRI predicts IC response in HNSCC.
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Affiliation(s)
- Jonathan M Bernstein
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Academic Health Science Centre, University of Manchester, Manchester Royal Infirmary, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK; Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK.
| | - Lucy E Kershaw
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Stephanie B Withey
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Natalie M Lowe
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Jarrod J Homer
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Academic Health Science Centre, University of Manchester, Manchester Royal Infirmary, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK; Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Nicholas J Slevin
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Suzanne C Bonington
- Department of Radiology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Bernadette M Carrington
- Department of Radiology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Catharine M West
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
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92
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Dirix P, Haustermans K, Vandecaveye V. The value of magnetic resonance imaging for radiotherapy planning. Semin Radiat Oncol 2015; 24:151-9. [PMID: 24931085 DOI: 10.1016/j.semradonc.2014.02.003] [Citation(s) in RCA: 104] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
The success of highly conformal radiotherapy techniques in the sparing of normal tissues or in dose escalation, or both, relies heavily on excellent imaging. Because of its superior soft tissue contrast, magnetic resonance imaging is increasingly being used in radiotherapy treatment planning. This review discusses the current clinical evidence to support the pivotal role of magnetic resonance imaging in radiation oncology.
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Affiliation(s)
- Piet Dirix
- Department of Radiation Oncology, Leuvens Kankerinstituut (LKI), University Hospitals Leuven, Leuven, Belgium; Department of Radiology, Leuvens Kankerinstituut (LKI), University Hospitals Leuven, Leuven, Belgium.
| | - Karin Haustermans
- Department of Radiation Oncology, Leuvens Kankerinstituut (LKI), University Hospitals Leuven, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Vincent Vandecaveye
- Department of Radiology, Leuvens Kankerinstituut (LKI), University Hospitals Leuven, Leuven, Belgium; Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
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93
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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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94
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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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95
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Noij DP, de Jong MC, Mulders LGM, Marcus JT, de Bree R, Lavini C, de Graaf P, Castelijns JA. Contrast-enhanced perfusion magnetic resonance imaging for head and neck squamous cell carcinoma: a systematic review. Oral Oncol 2014; 51:124-38. [PMID: 25467775 DOI: 10.1016/j.oraloncology.2014.10.016] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Revised: 10/26/2014] [Accepted: 10/29/2014] [Indexed: 12/21/2022]
Abstract
This systematic review gives an extensive overview of the current state of perfusion-weighted magnetic resonance imaging (MRI) for head and neck squamous cell carcinoma (HNSCC). Pubmed and Embase were searched for literature until July 2014 assessing the diagnostic and prognostic performance of perfusion-weighted MRI in HNSCC. Twenty-one diagnostic and 12 prognostic studies were included for qualitative analysis. Four studies used a T2(∗) sequence for dynamic susceptibility (DSC)-MRI, 29 studies used T1-based sequences for dynamic contrast enhanced (DCE)-MRI. Included studies suffered from a great deal of heterogeneity in study methods showing a wide range of diagnostic and prognostic performance. Therefore we could not perform any useful meta-analysis. Perfusion-weighted MRI shows potential in some aspects of diagnosing HNSCC and predicting prognosis. Three studies reported significant correlations between hypoxia and tumor heterogeneity in perfusion parameters (absolute correlation coefficient |ρ|>0.6, P<0.05). Two studies reported synergy between perfusion-weighted MRI and positron emission tomography (PET) parameters. Four studies showed a promising role for response prediction early after the start of chemoradiotherapy. In two studies perfusion-weighted MRI was useful in the detection of residual disease. However more research with uniform study and analysis protocols with larger sample sizes is needed before perfusion-weighted MRI can be used in clinical practice.
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Affiliation(s)
- Daniel P Noij
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
| | - Marcus C de Jong
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
| | - Lieven G M Mulders
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
| | - Johannes T Marcus
- Department of Physics and Medical Technology, VU University Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
| | - Remco de Bree
- Department of Otolaryngology - Head and Neck Surgery, VU University Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
| | - Cristina Lavini
- Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Pim de Graaf
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
| | - Jonas A Castelijns
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
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96
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Bernstein JM, Homer JJ, West CM. Dynamic contrast-enhanced magnetic resonance imaging biomarkers in head and neck cancer: Potential to guide treatment? A systematic review. Oral Oncol 2014; 50:963-70. [PMID: 25116700 DOI: 10.1016/j.oraloncology.2014.07.011] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 07/22/2014] [Indexed: 11/16/2022]
Affiliation(s)
- Jonathan M Bernstein
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Royal Infirmary, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK; (b)Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, Wilmslow Road, Withington, Manchester M20 4BX, UK.
| | - Jarrod J Homer
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Royal Infirmary, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK.
| | - Catharine M West
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, Wilmslow Road, Withington, Manchester M20 4BX, UK.
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97
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Yuan J, Chen S, King AD, Zhou J, Bhatia KS, Zhang Q, Yeung DKW, Wei J, Mok GSP, Wang YX. Amide proton transfer-weighted imaging of the head and neck at 3 T: a feasibility study on healthy human subjects and patients with head and neck cancer. NMR IN BIOMEDICINE 2014; 27:1239-47. [PMID: 25137521 PMCID: PMC4160398 DOI: 10.1002/nbm.3184] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2014] [Revised: 06/04/2014] [Accepted: 07/14/2014] [Indexed: 05/03/2023]
Abstract
The aim of this study was to explore the feasibility and repeatability of amide proton transfer-weighted (APTw) MRI for the head and neck on clinical MRI scanners. Six healthy volunteers and four patients with head and neck tumors underwent APTw MRI scanning at 3 T. The APTw signal was quantified by the asymmetric magnetization transfer ratio (MTRasym) at 3.5 ppm. Z spectra of normal tissues in the head and neck (masseter muscle, parotid glands, submandibular glands and thyroid glands) were analyzed in healthy volunteers. Inter-scan repeatability of APTw MRI was evaluated in six healthy volunteers. Z spectra of patients with head and neck tumors were produced and APTw signals in these tumors were analyzed. APTw MRI scanning was successful for all 10 subjects. The parotid glands showed the highest APTw signal (~7.6% average), whereas the APTw signals in other tissues were relatively moderate. The repeatability of APTw signals from the masseter muscle, parotid gland, submandibular gland and thyroid gland of healthy volunteers was established. Four head and neck tumors showed positive mean APTw ranging from 1.2% to 3.2%, distinguishable from surrounding normal tissues. APTw MRI was feasible for use in the head and neck regions at 3 T. The preliminary results on patients with head and neck tumors indicated the potential of APTw MRI for clinical applications.
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Affiliation(s)
- Jing Yuan
- Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
- CUHK Shenzhen Research Institute, Shenzhen, Guangdong, China
- Correspondence to: Jing Yuan, Ph.D., Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China, Tel: 852-2835-7004,
| | - Shuzhong Chen
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Ann D. King
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Jinyuan Zhou
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Kunwar S. Bhatia
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Qinwei Zhang
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - David Ka Wei Yeung
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Juan Wei
- Philips Healthcare Asia, Shanghai, China
| | - Greta Seng Peng Mok
- Department of Electrical and Computer Engineering, University of Macau, Taipa, Macau SAR, China
| | - Yi-Xiang Wang
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
- CUHK Shenzhen Research Institute, Shenzhen, Guangdong, China
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98
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Improving tumour heterogeneity MRI assessment with histograms. Br J Cancer 2014; 111:2205-13. [PMID: 25268373 PMCID: PMC4264439 DOI: 10.1038/bjc.2014.512] [Citation(s) in RCA: 358] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Revised: 08/04/2014] [Accepted: 08/06/2014] [Indexed: 12/14/2022] Open
Abstract
By definition, tumours are heterogeneous. They are defined by marked differences in cells, microenvironmental factors (oxygenation levels, pH, VEGF, VPF and TGF-α) metabolism, vasculature, structure and function that in turn translate into heterogeneous drug delivery and therapeutic outcome. Ways to estimate quantitatively tumour heterogeneity can improve drug discovery, treatment planning and therapeutic responses. It is therefore of paramount importance to have reliable and reproducible biomarkers of cancerous lesions' heterogeneity. During the past decade, the number of studies using histogram approaches increased drastically with various magnetic resonance imaging (MRI) techniques (DCE-MRI, DWI, SWI etc.) although information on tumour heterogeneity remains poorly exploited. This fact can be attributed to a poor knowledge of the available metrics and of their specific meaning as well as to the lack of literature references to standardised histogram methods with which surrogate markers of heterogeneity can be compared. This review highlights the current knowledge and critical advances needed to investigate and quantify tumour heterogeneity. The key role of imaging techniques and in particular the key role of MRI for an accurate investigation of tumour heterogeneity is reviewed with a particular emphasis on histogram approaches and derived methods.
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99
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Fujima N, Yoshida D, Sakashita T, Homma A, Tsukahara A, Tha KK, Kudo K, Shirato H. Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI. Magn Reson Imaging 2014; 32:1206-13. [PMID: 25131628 DOI: 10.1016/j.mri.2014.08.009] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Revised: 07/01/2014] [Accepted: 08/08/2014] [Indexed: 12/12/2022]
Abstract
PURPOSE To investigate the correlation between perfusion-related parameters obtained with intravoxel incoherent motion (IVIM) and classical perfusion parameters obtained with dynamic contrast-enhanced (DCE) magnetic resonance imaging in patients with head and neck squamous cell carcinoma (HNSCC), and to compare direct and asymptotic fitting, the pixel-by-pixel approach, and a region of interest (ROI)-based approach respectively for IVIM parameter calculation. MATERIALS AND METHODS Seventeen patients with HNSCC were included in this retrospective study. All magnetic resonance (MR) scanning was performed using a 3T MR unit. Acquisition of IVIM was performed using single-shot spin-echo echo-planar imaging with three orthogonal gradients with 12 b-values (0, 10, 20, 30, 50, 80, 100, 200, 400, 800, 1000, and 2000). Perfusion-related parameters of perfusion fraction 'f' and the pseudo-diffusion coefficient 'D*' were calculated from IVIM data by using least square fitting with the two fitting methods of direct and asymptotic fitting, respectively. DCE perfusion was performed in a total of 64 dynamic phases with a 3.2-s phase interval. The two-compartment exchange model was used for the quantification of tumor blood volume (TBV) and tumor blood flow (TBF). Each tumor was delineated with a polygonal ROI for the calculation of f, f∙D* performed using both the pixel-by-pixel approach and the ROI-based approach. In the pixel-by-pixel approach, after fitting each pixel to obtain f, f∙D* maps, the mean value in the delineated ROI on these maps was calculated. In the ROI-based approach, the mean value of signal intensity was calculated within the ROI for each b-value in IVIM images, and then fitting was performed using these values. Correlations between f in a total of four combinations (direct or asymptotic fitting and pixel-by-pixel or ROI-based approach) and TBV were respectively analyzed using Pearson's correlation coefficients. Correlations between f∙D* and TBF were also similarly analyzed. RESULTS In all combinations of f and TBV, f∙D* and TBF, there was a significant correlation. In the comparison of f and TBV, a moderate correlation was observed only between f obtained by direct fitting with the pixel-by-pixel approach, whereas a good correlation was observed in the comparisons using the other three combinations. In the comparison of f∙D* and TBF, a good correlation was observed only with f∙D* obtained by asymptotic fitting with the ROI-based approach. In contrast, moderate correlations were observed in the comparisons using the other three combinations. CONCLUSION IVIM was found to be feasible for the analysis of perfusion-related parameters in patients with HNSCC. Especially, the combination of asymptotic fitting with the ROI-based approach was better correlated with DCE perfusion.
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Affiliation(s)
- Noriyuki Fujima
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.
| | - Daisuke Yoshida
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan
| | - Tomohiro Sakashita
- Departments of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Akihiro Homma
- Departments of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Akiko Tsukahara
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan
| | - Khin Khin Tha
- Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Kohsuke Kudo
- Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan
| | - Hiroki Shirato
- Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
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100
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Ye Z, Huang P, Zhou X, Huang Q, Hu Q, Shui Y, Shen L, Lai E, Wei Q. Parametric contrast-enhanced ultrasound as an early predictor of radiation-based therapeutic response for lymph node metastases of nasopharyngeal carcinoma. Mol Clin Oncol 2014; 2:666-672. [PMID: 25054029 DOI: 10.3892/mco.2014.331] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 04/15/2014] [Indexed: 02/01/2023] Open
Abstract
Nasopharyngeal carcinoma (NPC) is a common type of cancer in South East Asia with peculiar epidemiology, pathology, clinical behavior and response to treatment characteristics. To the best of our knowledge, this is the first study to investigate the use of a contrast-enhanced ultrasound (CEUS) as a predictor for the therapeutic response in lymph node metastases of NPC patients treated with radiation-based therapy. Sixty-seven NPC patients with lymph node metastases underwent the lymph nodes CEUS examination twice; pre- and in-treatment (at the 5th fraction radiotherapy), respectively. The CEUS parameters were acquired through Qontrast_4.0 software and mainly included peak intensity (PI) and time to peak (TTP). The response assessment at the lymph nodes revealed a complete response (CR) in 48 patients and partial response (PR) in 19 patients. There was a significant difference in pre-treatment PI (PIpre) between the patients who showed CR or PR, but the predicted sensitivity and specificity of PIpre was low. The mean in-treatment PI (PIin) value of the lymph nodes that achieved a CR was 34.24±3.78%, which was significantly higher than the PIin value for PR, 25.62±2.30% (P<0.001). Furthermore, the PIratio, a PI-quotient, was calculated by dividing the PIin by the corresponding PIpre. The higher PIratio was also observed in CR lymph nodes (0.81±0.01 vs. 0.66±0.01; P=0.001), and the mean change in PI (PIΔ; PIΔ = PIpre-PIin) was smaller in the patients with CR nodes compared to the patients with PR nodes (7.79±3.28 vs. 13.77±1.90%; P=0.000). No difference was observed in TTPpre or TTPin between the CR or PR lymph nodes patients. A receiver operating characteristic curve was constructed to assess the accuracy of the parameters for the prediction of the therapeutic responses. The sensitivity and specificity of PIin in predicting the therapeutic response was 94.3 and 88.2%, and the corresponding figures of the PIratio were 92.5 and 83.8%, respectively. The CEUS parameters during the early course of radiation-based therapy, PIin and PIratio, are associated with the therapeutic response of NPC lymph node metastases, with a high predicted sensitivity and specificity, thus yielding the conceivable predictors with the potential to individualize treatment.
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Affiliation(s)
- Zhimin Ye
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Pintong Huang
- Department of Ultrasound, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Xiaofeng Zhou
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Qian Huang
- Department of Physiology, Zhejiang University School of Medicine, Hangzhou 310058, P.R. China
| | - Qiongge Hu
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Yongjie Shui
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Li Shen
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
| | - Enyin Lai
- Department of Physiology, Zhejiang University School of Medicine, Hangzhou 310058, P.R. China
| | - Qichun Wei
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China ; National Ministry of Education Key Laboratory of Cancer Prevention and Intervention, Zhejiang University School of Medicine, Hangzhou 310009, P.R. China
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