{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12(6)"],"submitter":["Le Thiec M"],"pubmed_abstract":["Due to the heterogeneity of tumour mass segmentation methods and lack of consensus, our study evaluated the prognostic value of pretherapeutic positron emission tomography with fluorodeoxyglucose (FDG-PET) metabolic parameters using different segmentation methods in patients with localized anal squamous cell carcinoma (SCC). Eighty-one patients with FDG-PET before radiochemotherapy were retrospectively analyzed. Semiquantitative data were measured with three fixed thresholds (35%, 41% and 50% of Maximum Standardized Uptake Value (SUVmax)) and four segmentation methods based on iterative approaches (Black, Adaptive, Nestle and Fitting). Metabolic volumes of primary anal tumour (P-MTV) and total tumour load (T-MTV: P-MTV+ lymph node MTV) were calculated. The primary endpoint was event-free s"],"journal":["Cancers"],"pagination":["E1512"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7352672"],"repository":["biostudies-literature"],"pubmed_title":["Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer."],"pmcid":["PMC7352672"],"pubmed_authors":["Maucherat B","Rousseau C","Hamidou H","Rio E","Guillerminet C","Meyer VG","Campion L","Hiret S","Le Thiec M","Testard A","Morel O","Girault S","Rusu D","Ferrer L","Kraeber-Bodere F","Lacombe M"],"additional_accession":[]},"is_claimable":false,"name":"Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer.","description":"Due to the heterogeneity of tumour mass segmentation methods and lack of consensus, our study evaluated the prognostic value of pretherapeutic positron emission tomography with fluorodeoxyglucose (FDG-PET) metabolic parameters using different segmentation methods in patients with localized anal squamous cell carcinoma (SCC). Eighty-one patients with FDG-PET before radiochemotherapy were retrospectively analyzed. Semiquantitative data were measured with three fixed thresholds (35%, 41% and 50% of Maximum Standardized Uptake Value (SUVmax)) and four segmentation methods based on iterative approaches (Black, Adaptive, Nestle and Fitting). Metabolic volumes of primary anal tumour (P-MTV) and total tumour load (T-MTV: P-MTV+ lymph node MTV) were calculated. The primary endpoint was event-free s","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jun","modification":"2025-04-26T08:12:06.191Z","creation":"2025-04-06T12:38:49.175Z"},"accession":"S-EPMC7352672","cross_references":{"pubmed":["32527039"],"doi":["10.3390/cancers12061512"]}}