Residual tumour detection in post-treatment granulation tissue by using advanced diffusion models in head and neck squamous cell carcinoma patients

Fujima, Noriyuki; Yoshida, Daisuke; Sakashita, Tetsuya; Homma, Akihiro; Kudo, Kohsuke; Shirato, Hiroki

doi:10.1016/j.ejrad.2017.02.025

Cited by 6 publications

(4 citation statements)

References 21 publications

(19 reference statements)

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“…Several previous studies evaluated the utility of DWI in differentiating posttreatment changes from recurrence and concluded that DWI showed high diagnostic performance. 7,11,[13][14][15][16] Morphologic imaging features for LTR described in previous literature included infiltrative mass appearance, with intermediate to high SI in T2 WIs and postcontrast enhancement. However, these features could overlap with those of benign posttreatment findings such as posttherapy inflammation and fibrosis.…”

Section: Discussionmentioning

confidence: 99%

MRI Posttreatment Surveillance for Head and Neck Squamous Cell Carcinoma: Proposed MR NI-RADS Criteria

Ashour

Darwish

Fahiem

et al. 2021

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:The current Neck Imaging Reporting and Data System (NI-RADS) criteria were designed for contrastenhanced CT with or without PET. Prior studies have revealed the capability of DWI and T2 signal intensity in distinguishing locoregional tumor residual and recurrence from posttreatment benign findings in head and neck cancers. We aimed to propose MR imaging NI-RADS criteria by adding diffusion criteria and T2 signal intensity to the American College of Radiology NI-RADS template. MATERIALS AND METHODS:This retrospective study included 69 patients with head and neck squamous cell carcinoma (HNSCC) who underwent posttreatment contrast-enhanced MRI imaging surveillance using a 1.5T scanner. The scans were interpreted by 2 neuroradiologists. Image analysis assessed the primary tumor site using the current American College of Radiology NI-RADS morphologic lexicon (mainly designed for contrast-enhanced CT with or without PET). NI-RADS rescoring was then performed based on our proposed criteria using T2 signal and diffusion features. The reference standard was a defined set of criteria, including clinical and imaging follow-up and pathologic assessment.RESULTS: Imaging assessment of treated HNSCC at the primary tumor site using T2 signal intensity and diffusion features as modifying rules to NI-RADS showed higher sensitivity, specificity, positive predictive value, negative predictive value, and accuracy (92.3%, 90.7%, 85.7%, 95.1%, and 91.3%, respectively) compared with the current NI-RADS lexicon alone (84.6%, 81.4%, 73.3%, 89.8%, and 82.6%, respectively). CONCLUSIONS:The addition of diffusion features and T2 signal to the American College of Radiology NI-RADS criteria for the primary tumor site enhances the specificity, sensitivity, positive predictive value, negative predictive value, and NI-RADS accuracy.

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Section: Discussionmentioning

confidence: 99%

MRI Posttreatment Surveillance for Head and Neck Squamous Cell Carcinoma: Proposed MR NI-RADS Criteria

Ashour

Darwish

Fahiem

et al. 2021

AJNR Am J Neuroradiol

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“…Another study found that bi-exponential fitting of the apparent diffusion co-efficient values on diffusion-weighted MRI were significantly lower in patients with residual tumours compared to those without tumour 25 . Lastly, advanced diffusion fitting models such as diffusion kurtosis imaging and the stretched exponential model are the diagnostic tools for detecting residual tumours in post-treatment granulation 26 …”

Section: Discussionmentioning

confidence: 99%

“…Second, we utilised the calculation of tumour blood flow. Applications of advanced post-processing techniques for tumour blood flow, with the creation of parametric blood flow maps, and use of diffusion tensor imaging or kurtosis imaging, will improve the results 26 , 30 – 36 …”

Section: Discussionmentioning

confidence: 99%

“…Diffusion-weighted MRI is based on Brownian motion of water protons in the tissue, which are affected by the microstructure of tissue. Some previous studies have assessed diffusion-weighted MRI for differentiating and characterising primary head and neck tumours, and investigated its usefulness in discriminating between recurrent or residual tumour and post-radiation changes 20 – 26 …”

Section: Introductionmentioning

confidence: 99%

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Arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of recurrent head and neck cancer from post-radiation changes

Razek

2018

J. Laryngol. Otol.

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ObjectiveTo assess arterial spin labelling and diffusion-weighted imaging in the differentiation of recurrent head and neck cancer from post-radiation changes.MethodsA retrospective study was conducted of 47 patients with head and neck cancer, treated with radiotherapy, who underwent magnetic resonance arterial spin labelling and diffusion-weighted magnetic resonance imaging. Tumour blood flow and apparent diffusion co-efficient of the lesion were calculated.ResultsThere was significant difference (p = 0.001) in tumour blood flow between patients with recurrent head and neck cancer (n = 31) (47.37 ± 16.3 ml/100 g/minute) and those with post-radiation changes (n = 16) (18.80 ± 2.9 ml/100 g/minute). The thresholds of tumour blood flow and apparent diffusion co-efficient used for differentiating recurrence from post-radiation changes were more than 24.0 ml/100 g/minute and 1.21 × 10−3 mm2/second or less, with area under the curve values of 0.94 and 0.90, and accuracy rates of 88.2 per cent and 88.2 per cent, respectively. The combined tumour blood flow and apparent diffusion co-efficient values used for differentiating recurrence from post-radiation changes had an area under the curve of 0.96 and an accuracy of 90.2 per cent.ConclusionCombined tumour blood flow and apparent diffusion co-efficient can differentiate recurrence from post-radiation changes.

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Diffusion MRI: Applications Outside the Brain

Donners

Rata

Jerome

et al. 2020

Advances in Magnetic Resonance Technology and Applications

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Residual tumour detection in post-treatment granulation tissue by using advanced diffusion models in head and neck squamous cell carcinoma patients

Abstract: Conclusion: DWI parameters obtained by advanced fitting models will be one of the diagnostic tools for the detection of residual tumour.

Cited by 6 publications

References 21 publications

MRI Posttreatment Surveillance for Head and Neck Squamous Cell Carcinoma: Proposed MR NI-RADS Criteria

MRI Posttreatment Surveillance for Head and Neck Squamous Cell Carcinoma: Proposed MR NI-RADS Criteria

Arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of recurrent head and neck cancer from post-radiation changes

Diffusion MRI: Applications Outside the Brain

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