Functional imaging early during (chemo)radiotherapy for response prediction in head and neck squamous cell carcinoma; a systematic review

Martens, Roland M.; Noij, Daniel P.; Ali, Meedie; Bree, Remco de; Marcus, J. Tim; Vergeer, Marije R.; Vet, Henrica C.W. de; Jong, Marcus C. de; Leemans, C. René; Hoekstra, Otto S.; Graaf, Pim de; Boellaard, Ronald; Castelijns, Jonas A.

doi:10.1016/j.oraloncology.2018.11.005

Cited by 43 publications

(34 citation statements)

References 82 publications

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“…With emerging technical advances and the broad availability of MRI, a lot of effort has already been undertaken to identify functional MR imaging biomarkers for outcome and toxicity prediction. Most of the studies so far focused on MR changes in tumor tissue (Review: [7]) in order to adapt the treatment, i.e. by dose escalation or de-escalation.…”

Section: Introductionmentioning

confidence: 99%

Repetitive MRI of organs at risk in head and neck cancer patients undergoing radiotherapy

Stieb

Elgohari

Fuller

2019

Clinical and Translational Radiation Oncology

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With emerging technical advances like real-time MR imaging during radiotherapy (RT) with an integrated MR linear accelerator, it will soon be possible to analyze changes in the organs at risk (OARs) during radiotherapy without additional effort for the patients. Until then, patients have to undergo additional MR imaging and often without the same immobilization devices as used for radiotherapy. Consequently, studies with repetitive MRI during the course of radiotherapy are rare, with low patient numbers and with the challenge of registration between the different MR sequences and the varying imaging time points. This review focuses on studies with at least two MRIs, one before and another either during or post-RT, in order to report on RT-induced changes in normal tissues and their correlation with toxicity. We therefore included clinical studies published in English until March 2019, with repetitive MRI of OARs in head and neck cancer patients receiving external beam radiotherapy. OARs analyzed were salivary glands, musculoskeletal structures and bones. MR sequences used included T1, T2, dynamic contrast enhanced (DCE) imaging, diffusion-weighted imaging (DWI), DIXON and MR sialography.

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Section: Introductionmentioning

confidence: 99%

Repetitive MRI of organs at risk in head and neck cancer patients undergoing radiotherapy

Stieb

Elgohari

Fuller

2019

Clinical and Translational Radiation Oncology

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“…The incidence of HNSCC varies among different geographical regions according to the prevalence of risk factors [16]. The response to the surgical and radio-chemotherapy treatment is an important prognostic and predictive factor in patient survival [17,18]. The distorted anatomy and soft tissue fibrosis occurring after HNSC C treatment complicating the scanned image finding and may mimic tumor recurrence which represents a challenge for precise and clear reporting, confusing the clinician, especially when it misses the recommended further surveillance.…”

Section: Discussionmentioning

confidence: 99%

Predictive value of neck imaging reporting and data system (NIRADS) in CECT/CEMRI of laryngeal and oral cavity squamous cell carcinoma

Abdelrahman

Ashour

Abdelaziz

2020

Egypt J Radiol Nucl Med

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Background The neck imaging reporting and data system (NI-RADS) is a structured reporting algorithm linked with further patient management recommendations. This study was conducted to assess the overall and time point predictive value of the NI-RADS in laryngeal and oral cavity squamous cell carcinoma (SCC) using contrast-enhanced magnetic resonance imaging (CEMRI) and contrast-enhanced computed tomography (CECT). Results The rate of tumor recurrence was statistically different among the NI-RADS 1-3 categories with recurrence trend for higher NI-RADS scores. The overall negative predictive value (NPV) of the NI-RADS 1 and 2 were 94.3%, 74.3% respectively, and the positive predictive value (PPV) of the NI-RADS 3 was 80.8%. The overall recurrence rate of NI-RADS 3 was higher in oral cavity SCC (87.5%) compared to the laryngeal SCC (70%). The PPV of overall NI-RADS 3 in the follow-up scans (77.8%) was higher than in the first scan (70.6%). The odd ratio of tumor recurrence in NI-RADS 3 primary lesion was 19.6. Conclusion The predictive value of NI-RADS was significantly different among its categories. Increasing NI-RADS score is associated with increased recurrence among the treated laryngeal and oral cavity SCC. The morphological and enhancement lexicon features equally assign the NI-RADS 3 score.

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“…Intratreatment low SUV max (persistent low or decrease of 18 F-FDG uptake) predictive of loco-regional control in head and neck cancer [175]…”

Section: Selecting and Translating Appropriate Imaging Biomarkers To mentioning

confidence: 99%

Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)

et al. 2019

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Observer-driven pattern recognition is the standard for interpretation of medical images. To achieve global parity in interpretation, semi-quantitative scoring systems have been developed based on observer assessments; these are widely used in scoring coronary artery disease, the arthritides and neurological conditions and for indicating the likelihood of malignancy. However, in an era of machine learning and artificial intelligence, it is increasingly desirable that we extract quantitative biomarkers from medical images that inform on disease detection, characterisation, monitoring and assessment of response to treatment. Quantitation has the potential to provide objective decision-support tools in the management pathway of patients. Despite this, the quantitative potential of imaging remains under-exploited because of variability of the measurement, lack of harmonised systems for data acquisition and analysis, and crucially, a paucity of evidence on how such quantitation potentially affects clinical decision-making and patient outcome. This article reviews the current evidence for the use of semi-quantitative and quantitative biomarkers in clinical settings at various stages of the disease pathway including diagnosis, staging and prognosis, as well as predicting and detecting treatment response. It critically appraises current practice and sets out recommendations for using imaging objectively to drive patient management decisions.

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Functional imaging early during (chemo)radiotherapy for response prediction in head and neck squamous cell carcinoma; a systematic review

Cited by 43 publications

References 82 publications

Repetitive MRI of organs at risk in head and neck cancer patients undergoing radiotherapy

Repetitive MRI of organs at risk in head and neck cancer patients undergoing radiotherapy

Predictive value of neck imaging reporting and data system (NIRADS) in CECT/CEMRI of laryngeal and oral cavity squamous cell carcinoma

Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)

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