ArticleEuropean journal of nuclear medicine and molecular imaging2014
Semiautomatic methods for segmentation of the proliferative tumour volume on sequential FLT PET/CT images in head and neck carcinomas and their relation to clinical outcome.
Article in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic Factors for Overall Survival in Nasopharyngeal Cancer and Implication for TNM Staging by UICC: A Systematic Review of the Literature.Frontiers in oncology · 2021Pooled it
- Quantitative mid-treatment imaging biomarkers for response prediction after radiotherapy in head and neck cancer: a systematic review and meta-analysis.EJNMMI research · 2026Review
- Long-term prognostic value ofCancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Current Role of Delta Radiomics in Head and Neck Oncology.International journal of molecular sciences · 2023Review
- Pre-treatment FLT-PET parameters as a prognostic tool for patients with locally advanced recurrent nasopharyngeal carcinoma salvaged by carbon-ion radiotherapy: a pilot study.Annals of translational medicine · 2022Article
- Simultaneous Mapping of Vasculature, Hypoxia, and Proliferation Using Dynamic Susceptibility Contrast MRI,Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021Article
- Volumetric parameters derived from FLT-PET performed at completion of treatment predict efficacy of Carbon-ion Radiotherapy in patients with locally recurrent Nasopharyngeal Carcinoma.Journal of Cancer · 2020Article
- PET-based prognostic survival model after radiotherapy for head and neck cancer.European journal of nuclear medicine and molecular imaging · 2019Article
- What Do We Measure in Oncology PET?Nuclear medicine and molecular imaging · 2017Review
- Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.Medical physics · 2017Article
- Article
- Role of fluorine-18 fluorodeoxyglucose PET/CT in head and neck oncology: the point of view of the radiation oncologist.The British journal of radiology · 2016Review
- Biological imaging in clinical oncology: radiation therapy based on functional imaging.International journal of clinical oncology · 2016Review
- Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-III.European journal of nuclear medicine and molecular imaging · 2016Article
- Application of positron emission tomography/computed tomography in radiation treatment planning for head and neck cancers.World journal of radiology · 2015Review
- MR diffusion-weighted imaging-based subcutaneous tumour volumetry in a xenografted nude mouse model using 3D Slicer: an accurate and repeatable method.Scientific reports · 2015Article
- PET imaging biomarkers in head and neck cancer.European journal of nuclear medicine and molecular imaging · 2015Review
- Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer.European journal of nuclear medicine and molecular imaging · 2015Article
- 3'-deoxy-3'-[¹⁸F]-fluorothymidine PET/CT in early determination of prognosis in patients with esophageal squamous cell cancer: comparison with [¹⁸F]-FDG PET/CT.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2015Article
- Insight on automated lesion delineation methods for PET data.EJNMMI research · 2014Article
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Abstract
purposeRadiotherapy of head and neck cancer induces changes in tumour cell proliferation during treatment, which can be depicted by the PET tracer (18)F-fluorothymidine (FLT). In this study, three advanced semiautomatic PET segmentation methods for delineation of the proliferative tumour volume (PV) before and during (chemo)radiotherapy were compared and related to clinical outcome.
methodsThe study group comprised 46 patients with 48 squamous cell carcinomas of the head and neck, treated with accelerated (chemo)radiotherapy, who underwent FLT PET/CT prior to treatment and in the 2nd and 4th week of therapy. Primary gross tumour volumes were visually delineated on CT images (GTV CT). PVs were visually determined on all PET scans (PV VIS). The following semiautomatic segmentation methods were applied to sequential PET scans: background-subtracted relative-threshold level (PV RTL), a gradient-based method using the watershed transform algorithm and hierarchical clustering analysis (PV W&C), and a fuzzy locally adaptive Bayesian algorithm (PV FLAB).
resultsPretreatment PV VIS correlated best with PV FLAB and GTV CT. Correlations with PV RTL and PV W&C were weaker although statistically significant. During treatment, the PV VIS, PV W&C and PV FLAB significant decreased over time with the steepest decline over time for PV FLAB. Among these advanced segmentation methods, PV FLAB was the most robust in segmenting volumes in the third scan (67 % of tumours as compared to 40 % for PV W&C and 27 % for PV RTL). A decrease in PV FLAB above the median between the pretreatment scan and the scan obtained in the 4th week was associated with better disease-free survival (4 years 90 % versus 53 %).
conclusionIn patients with head and neck cancer, FLAB proved to be the best performing method for segmentation of the PV on repeat FLT PET/CT scans during (chemo)radiotherapy. This may potentially facilitate radiation dose adaptation to changing PV.
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