ArticleRadiation oncology (London, England)2018
Delineation of lung cancer with FDG PET/CT during radiation therapy.
Article in Radiation oncology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 12 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Study of the Modification of the Fixation of FDG, F-Miso and FLT Measured in PET/CT at Patients Before and in the Course of Exclusive Radiotherapy or Concomitant Radiochemotherapy for Primitive Bronchial Cancer
Predictive Value of FDG-TEP During Radiotherapy (RT) or Chemo-radiotherapy (CRT) in Patients With Non Small Cell Lung Cancer on the One-year Survival
Phase II Study of the Efficacy and Safety of a Radiotherapy Dose Complement in the Treatment of Hypoxic Lesions Identified by F-miso PET/CT in Patients With Stage III Non-small-cell Lung Cancer (NSCLC) Not Amenable to Curative Surgical Resection Who Are Candidate for Curative Radio-chemotherapy
Who cites it
12 citing papers in PubMed.
- Article
- ESTRO consensus guidelines on GTV delineation and dose-escalation in rectal cancer.Clinical and translational radiation oncology · 2026Article
- Assessment of extracellular vesicle microRNAs detection in predicting benign and malignant pulmonary ground glass nodules.Frontiers in medicine · 2025Article
- A Tumor Volume Segmentation Algorithm Based on Radiomics Features in FDG-PET in Lung Cancer Patients, Validated Using Surgical Specimens.Diagnostics (Basel, Switzerland) · 2024Article
- Image-mode performance characterisation of a positron emission tomography subsystem designed for Biology-guided radiotherapy (BgRT).The British journal of radiology · 2023Article
- Article
- A Novel Radiomics-Based Tumor Volume Segmentation Algorithm for Lung Tumors in FDG-PET/CT after 3D Motion Correction-A Technical Feasibility and Stability Study.Diagnostics (Basel, Switzerland) · 2022Article
- Metabolic response to radiation therapy in cancer.Molecular carcinogenesis · 2022Review
- Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC.Therapeutic advances in medical oncology · 2022Article
- Modulators of radiation-induced cardiopulmonary toxicities for non-small cell lung cancer: Integrated cytokines, single nucleotide variants, and HBP systems imaging.Frontiers in oncology · 2022Review
- Impact of the Bayesian penalized likelihood algorithm (Q.Clear®) in comparison with the OSEM reconstruction on low contrast PET hypoxic images.EJNMMI physics · 2020Article
- Recent advances of PET imaging in clinical radiation oncology.Radiation oncology (London, England) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo propose an easily applicable segmentation method (perPET-RT) for delineation of tumour volume during radiotherapy on interim fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with non-small cell lung cancer (NSCLC). MATERIAL AND
methodsSixty-seven patients (51 primary tumours, 60 lymph nodes), from 4 prospective studies, underwent an FDG PET/CT scan during the fifth week of radiation therapy, using different generations of PET/CT. Per-therapeutic PET/CT scans were delineated in consensus by two experienced physicians leading to the gold standard threshold to be applied. The mathematical expression of Th
resultsTh
conclusionOn the database used, perPET-RT has proven its reliability and accuracy for tumour delineation on per-therapeutic FDG PET/CT using only SUV
trial registrationNCT01261598 , NCT01261585 , NCT01576796 .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.