Contrast-enhanced perfusion magnetic resonance imaging for head and neck squamous cell carcinoma: A systematic review

Noij, Daniel P.; Jong, Marcus C. de; Mulders, Lieven G.M.; Marcus, J. Tim; Lavini, Cristina; Graaf, Pim de; Castelijns, Jonas A.

doi:10.1016/j.oraloncology.2014.10.016

Cited by 39 publications

(26 citation statements)

References 56 publications

(169 reference statements)

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“…In fact, according to Song et al, K trans and V e values decreased statistically significantly after anti-angiogenic treatment in an orthotopic mouse model of human hepatocellular carcinoma [25]. Other authors confirmed these results [26]. This leads to the assumption that DCE MRI may predict response to anti-angiogenic therapy.…”

Section: Discussionmentioning

confidence: 84%

Correlations Between DCE MRI and Histopathological Parameters in Head and Neck Squamous Cell Carcinoma

Surov

Meyer

Gawlitza

et al. 2017

Translational Oncology

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BACKGROUND: Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) can characterize perfusion and vascularization of tissues. DCE MRI parameters can differentiate between malignant and benign lesions and predict tumor grading. The purpose of this study was to correlate DCE MRI findings and various histopathological parameters in head and neck squamous cell carcinoma (HNSCC). PATIENTS AND METHODS: Sixteen patients with histologically proven HNSCC (11 cases primary tumors and in 5 patients with local tumor recurrence) were included in the study. DCE imaging was performed in all cases and the following parameters were estimated: Ktrans, Ve, Kep, and iAUC. The tumor proliferation index was estimated on Ki 67 antigen stained specimens. Microvessel density parameters (stained vessel area, total vessel area, number of vessels, and mean vessel diameter) were estimated on CD31 antigen stained specimens. Spearman's non-parametric rank sum correlation coefficients were calculated between DCE and different histopathological parameters. RESULTS: The mean values of DCE perfusion parameters were as follows: Ktrans 0.189 ± 0.056 min−1, Kep 0.390 ± 0.160 min−1, Ve 0.548 ± 0.119%, and iAUC 22.40 ± 12.57. Significant correlations were observed between Kep and stained vessel areas (r = 0.51, P = .041) and total vessel areas (r = 0.5118, P = .043); between Ve and mean vessel diameter (r = −0.59, P = .017). Cell count had a tendency to correlate with Ve (r = −0.48, P = .058). In an analysis of the primary HNSCC only, a significant inverse correlation between Ktrans and KI 67 was identified (r = −0.62, P = .041). Our analysis showed significant correlations between DCE parameters and histopathological findings in HNSCC.

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Section: Discussionmentioning

confidence: 84%

Correlations Between DCE MRI and Histopathological Parameters in Head and Neck Squamous Cell Carcinoma

Surov

Meyer

Gawlitza

et al. 2017

Translational Oncology

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“…Refinements to the imaging protocol include the addition of DCE sequences, which may be expected to add further value [43], and the expansion of the BOLD sequence to acquire multiple slices across a volume, an imaging technique which may be more reliable than BOLD imaging carried out on single slices [44]. The additional information gained from the enhanced suite of imaging sequences in the current study will help to define which sequences, at which time points, can be used to adapt and personalise radiotherapy treatment.…”

Section: Discussionmentioning

confidence: 99%

Multiparametric magnetic resonance imaging in mucosal primary head and neck cancer: a prospective imaging biomarker study

et al. 2017

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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.

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“…99 Two reviews on utilization of DCE-MRI in HNSCC have recently been published. 97,100 In summary, these reviews show that DCE-MRI is a feasible modality for diagnosis and as a source of prognostic markers in HNSCC. It is noteworthy that the reviews also highlighted challenges of high interstudy heterogeneity in DCE-MRI acquisition parameters, lack of standardization, pharmacokinetic modelling issues and the relatively small number of patients in the studies included in the reviews, making DCE-MRI attractive but still a research modality outside standard care.…”

Section: Mr Spectroscopy Mr Spectroscopy (Mrs) That Ismentioning

confidence: 98%

“…Modelling and analysis of contrast agent concentration as a function of time allows for assessment of tissue perfusion and permeability-highly relevant characteristics describing tumour malignancy. There are several approaches for analysis of DCE-MRI: a quantitative approach using pharmacokinetic modelling, for example Toffs model, 97,98 and a semiquantitative one using longitudinal analysis of DCE-MRI signal intensity function, for example by means of DCE time-intensity curve shape analysis. 99 Two reviews on utilization of DCE-MRI in HNSCC have recently been published.…”

Section: Mr Spectroscopy Mr Spectroscopy (Mrs) That Ismentioning

confidence: 99%

Validation of functional imaging as a biomarker for radiation treatment response

Jentsch¹,

Beuthien‐Baumann²,

Troost³

et al. 2015

BJR

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Major advances in radiotherapy techniques, increasing knowledge of tumour biology and the ability to translate these advances into new therapeutic approaches are important goals towards more individualized cancer treatment. With the development of non-invasive functional and molecular imaging techniques such as positron emission tomography (PET)-CT scanning and MRI, there is now a need to evaluate potential new biomarkers for tumour response prediction, for treatment individualization is not only based on morphological criteria but also on biological tumour characteristics. The goal of individualization of radiotherapy is to improve treatment outcome and potentially reduce chronic treatment toxicity. This review gives an overview of the molecular and functional imaging modalities of tumour hypoxia and tumour cell metabolism, proliferation and perfusion as predictive biomarkers for radiation treatment response in head and neck tumours and in lung tumours. The current status of knowledge on integration of PET/CT/MRI into treatment management and bioimage-guided adaptive radiotherapy are discussed.

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Contrast-enhanced perfusion magnetic resonance imaging for head and neck squamous cell carcinoma: A systematic review

Cited by 39 publications

References 56 publications

Correlations Between DCE MRI and Histopathological Parameters in Head and Neck Squamous Cell Carcinoma

Correlations Between DCE MRI and Histopathological Parameters in Head and Neck Squamous Cell Carcinoma

Multiparametric magnetic resonance imaging in mucosal primary head and neck cancer: a prospective imaging biomarker study

Validation of functional imaging as a biomarker for radiation treatment response

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