Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review.


Journal

European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089
Titre abrégé: Eur J Nucl Med Mol Imaging
Pays: Germany
ID NLM: 101140988

Informations de publication

Date de publication:
09 2021
Historique:
received: 30 09 2020
accepted: 01 02 2021
pubmed: 20 2 2021
medline: 18 9 2021
entrez: 19 2 2021
Statut: ppublish

Résumé

To systematically review the literature evaluating clinical utility of imaging metrics derived from baseline fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) for prediction of progression-free (PFS) and overall survival (OS) in patients with classical Hodgkin lymphoma (HL) and diffuse large B cell lymphoma (DLBCL). A search of MEDLINE/PubMed, Web of Science, Cochrane, Scopus and clinicaltrials.gov databases was undertaken for articles evaluating PET/CT imaging metrics as outcome predictors in HL and DLBCL. PRISMA guidelines were followed. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool. Forty-one articles were included (31 DLBCL, 10 HL). Significant predictive ability was reported in 5/20 DLBCL studies assessing SUVmax (PFS: HR 0.13-7.35, OS: HR 0.83-11.23), 17/19 assessing metabolic tumour volume (MTV) (PFS: HR 2.09-11.20, OS: HR 2.40-10.32) and 10/13 assessing total lesion glycolysis (TLG) (PFS: HR 1.078-11.21, OS: HR 2.40-4.82). Significant predictive ability was reported in 1/4 HL studies assessing SUVmax (HR not reported), 6/8 assessing MTV (PFS: HR 1.2-10.71, OS: HR 1.00-13.20) and 2/3 assessing TLG (HR not reported). There are 7/41 studies assessing the use of radiomics (4 DLBCL, 2 HL); 5/41 studies had internal validation and 2/41 included external validation. All studies had overall moderate or high risk of bias. Most studies are retrospective, underpowered, heterogenous in their methodology and lack external validation of described models. Further work in protocol harmonisation, automated segmentation techniques and optimum performance cut-off is required to develop robust methodologies amenable for clinical utility.

Identifiants

pubmed: 33604689
doi: 10.1007/s00259-021-05233-2
pii: 10.1007/s00259-021-05233-2
pmc: PMC8426243
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

3198-3220

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021. The Author(s).

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Auteurs

R Frood (R)

Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK. russellfrood@nhs.net.
Leeds Institute of Health Research, University of Leeds, Leeds, UK. russellfrood@nhs.net.

C Burton (C)

Department of Haematology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

C Tsoumpas (C)

Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.

A F Frangi (AF)

Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing and School of Medicine, University of Leeds, Leeds, UK.
Medical Imaging Research Center (MIRC), University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.

F Gleeson (F)

Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

C Patel (C)

Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

A Scarsbrook (A)

Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Leeds Institute of Health Research, University of Leeds, Leeds, UK.

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Classifications MeSH