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References from Semi-automated 18 F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation. Local targets link to admitted publications; unresolved targets remain external evidence.
SAKK38/07 study: integration of baseline metabolic heterogeneity and metabolic tumor volume in DLBCL prognostic model
10.1182/bloodadvances.2019001201 · 2020 · External reference
Relapsed/refractory diffuse large B-cell lymphoma
10.1182/asheducation-2011.1.498 · 2011 · External reference
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10.1080/10428190903040048 · External reference
Inter-reader reliability of early FDG-PET/CT response assessment using the deauville scale after 2 cycles of intensive chemotherapy (OEPA) in Hodgkin’s Lymphoma
10.1371/journal.pone.0149072 · 2016 · External reference
qPET - a quantitative extension of the Deauville scale to assess response in interim FDG-PET scans in lymphoma
10.1007/s00259-014-2715-9 · 2014 · External reference
18F-FDG PET improves baseline clinical predictors of response in diffuse large B-cell lymphoma: The HOVON-84 study
2021 · External reference
Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL
10.1007/s00259-016-3315-7 · 2016 · External reference
Value of CT-textural features and volume-based PET parameters in comparison to serologic markers for response prediction in patients with diffuse large B-cell lymphoma undergoing CD19-CAR-T cell therapy
10.3390/jcm11061522 · 2022 · External reference
Dynamic risk assessment based on positron emission tomography scanning in diffuse large B-cell lymphoma: post-hoc analysis from the PETAL trial
10.1016/j.ejca.2019.09.027 · 2020 · External reference
Baseline 18F-FDG PET radiomic features as predictors of 2-year event-free survival in diffuse large B cell lymphomas treated with immunochemotherapy
10.1007/s00330-020-06815-8 · 2020 · External reference
Prognostic value of baseline total metabolic tumor volume (TMTV0) measured on FDG-PET/CT in patients with peripheral T-cell lymphoma (PTCL
10.1093/annonc/mdw011 · 2016 · External reference
Baseline metabolic tumor volume predicts outcome in high-tumor-burden follicular lymphoma: a pooled analysis of three multicenter studies
2016 · External reference
Proposed new dynamic prognostic index for diffuse large B-cell lymphoma: international metabolic prognostic index
10.1200/jco.21.02063 · 2022 · External reference
Comparison of CT- and FDG-PET-defined gross tumor volume in intensity-modulated radiotherapy for head-and-neck cancer
10.1016/j.ijrobp.2004.08.037 · 2005 · External reference
Unresolved reference
2015 · External reference
Automatic image segmentation by positioning a seed. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2006 · External reference
Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma
10.1007/s00259-018-3953-z · 2018 · External reference
Time to prepare for risk adaptation in lymphoma by standardizing measurement OF METABOLIC TUMOr Burden
10.2967/jnumed.119.227249 · 2019 · External reference
Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL
10.1007/s00259-016-3315-7 · 2016 · External reference
Lymphoid neoplasia: noninvasive monitoring of diffuse large B-cell lymphoma by immunoglobulin high-throughput sequencing
10.1182/blood-2015-03-635169 · 2015 · External reference
Baseline PET-derived metabolic tumor volume metrics predict progression-free and overall survival in DLBCL after first-line treatment: results from the phase 3 GOYA Study
10.1182/blood.v130.suppl_1.824.824 · 2017 · External reference
Molecular profile and FDG-PET/CT total metabolic tumor volume improve risk classification at diagnosis for patients with diffuse large B-cell lymphoma
10.1158/1078-0432.ccr-15-2825 · 2016 · External reference
10.1182/blood-2018-01-826958
10.1182/blood-2018-01-826958 · External reference
Prognostic value of baseline total metabolic tumor volume (TMTV0) measured on FDG-PET/CT in patients with peripheral T-cell lymphoma (PTCL
10.1093/annonc/mdw011 · 2016 · External reference
10.1016/j.mri.2012.05.001
10.1016/j.mri.2012.05.001 · External reference
Python 3 Reference Manual; CreateSpace
2009 · External reference
From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors
10.2967/jnumed.108.057307 · 2009 · External reference
10.1097/00004647-199605000-00005
10.1097/00004647-199605000-00005 · External reference
10.1016/s0022-510x(00)00396-8
10.1016/s0022-510x(00)00396-8 · External reference
10.1016/s0925-4927(01)00126-3
10.1016/s0925-4927(01)00126-3 · External reference
Unresolved reference
External reference
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
2014 · External reference
The Netherlands protocol for standardisation and quantification of FDG whole body PET studies in multi-centre trials
10.1007/s00259-008-0874-2 · 2008 · External reference
Unresolved reference
External reference
Combatting the effect of image reconstruction settings on lymphoma [18F]FDG PET metabolic tumor volume assessment using various segmentation methods
10.1186/s13550-022-00916-9 · 2022 · External reference
Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?
10.2967/jnumed.121.262117 · 2022 · External reference
Shaban EAIN, Pieplenbosch S, et al. Interobserver agreement on automated metabolic tumor volume measurements of deauville score 4 and 5 Lesions at Interim 18F-FDG PET in diffuse large B-Cell Lymphoma
10.2967/jnumed.120.258673 · 2021 · External reference
Automated segmentation of baseline metabolic total tumor burden in diffuse large B-cell lymphoma: which method is most successful? a study on behalf of the PETRA consortium
10.2967/jnumed.119.238923 · 2021 · External reference
Reproducibility of baseline tumour metabolic volume measurements in diffuse large b-cell lymphoma: is there a superior method?
10.3390/metabo11020072 · 2021 · External reference
Comparison of 11 automated PET segmentation methods in lymphoma
10.1088/1361-6560/abb6bd · 2020 · External reference
Evaluation of the prognostic value of different methods of calculating the tumour metabolic volume with 18F-FDG PET/CT, in patients with diffuse large cell B-cell lymphoma
2020 · External reference
Optimizing workflows for fast and reliable metabolic tumor volume measurements in diffuse large B cell lymphoma
10.1007/s11307-020-01474-z · 2020 · External reference
A comparative study of standardized quantitative and visual assessment for predicting tumor volume and outcome in newly diagnosed diffuse large B-cell lymphoma staged with 18F-FDG PET/CT
2019 · External reference
Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma
2018 · External reference
10.2967/jnumed.116.180406
10.2967/jnumed.116.180406 · External reference
Metabolic tumour volumes measured at staging in lymphoma: Methodological evaluation on phantom experiments and patients
2014 · External reference
Quantitative oncology molecular analysis suite: ACCURATE
2018 · External reference
Baseline metabolic tumour volume is an independent prognostic factor in Hodgkin lymphoma
10.1007/s00259-014-2783-x · 2014 · External reference
The impact of semi-automatic segmentation methods on metabolic tumor volume, intensity and dissemination radiomics in 18F-FDG PET scans of patients with classical Hodgkin lymphoma
10.2967/jnumed.121.263067 · 2022 · External reference
Optimal Co-segmentation of tumor in PET-CT images with context information
10.1109/tmi.2013.2263388 · 2013 · External reference
Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network
10.1007/s00259-020-05080-7 · 2021 · External reference
The role of 18F-FDG PET/CT radiomics in lymphoma
10.1007/s40336-021-00451-y · 2021 · External reference
A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
10.1016/j.phro.2021.10.007 · 2021 · External reference
