Evidence map›Paper›PMID 39222121›Full record

ArticleAnnals of hematology2024

Metabolic tumor volume from baseline [18 F]FDG PET/CT at diagnosis improves the IPI stratification in patients with diffuse large B-cell lymphoma.

Hanzhen Zhang, Zihan Xu, Wenlan Zhou, Junjie Chen, Yongqiang Wei, Hubing Wu, Xiaolei Wei, Ru Feng

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Article in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hanzhen Zhang *Department of Hematology, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
Zihan Xu *Department of Hematology, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
Wenlan Zhou *PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Junjie ChenDepartment of Hematology, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
Yongqiang WeiDepartment of Hematology, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
Hubing WuPET Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Xiaolei WeiDepartment of Hematology, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China. smuxiaoleiwei@163.com.
Ru FengDepartment of Hematology, Nanfang Hospital, Southern Medical University, No. 1838 North Guangzhou Avenue, Guangzhou, 510515, China. ruth1626@hotmail.com.

Funding

Funding by Science and Technology Projects in Guangzhou 202102020937Outstanding Youth Development Scheme of Nanfang Hospital, Southern Medical University 2019J011
6 · The paper itself

Abstract

purposeAlthough several different parameters of PET/CT were reported to be predictive of survival in DLBCL, the best parameter remains to be elucidated and whether it could improve the risk stratification of IPI in patients with DLBCL. PROCEDURES: 262 DLBCL patients including in the training and validation cohort were retrospectively analyzed in this study.

resultsAmong different parameters, MTV was identified as the optimal prognostic parameter with a maximum area under the curve (AUC) of 0.652 ± 0.112 than TLG and SDmax (0.645 ± 0.113 and 0.600 ± 0.117, respectively). Patients with high MTV were associated with inferior PFS (p < 0.001 and p = 0.021, respectively) and OS (p < 0.001 and p < 0.001, respectively) in both the training and validation cohort. The multivariate analysis revealed that high MTV was an unfavorable factor for PFS (relative ratio [RR], 2.295; 95% confidence interval [CI], 1.457-3.615; p < 0.01) and OS (RR, 2.929; 95% CI 1.679-5.109; p < 0.01) independent of IPI.

conclusionsFurther analysis showed MTV could improve the risk stratification of IPI for both PFS and OS (p < 0.01 and p < 0.01, respectively). In conclusion, our study suggests that MTV was an optimal prognostic parameter of PET/CT for survival and it could improve the risk stratification of IPI in DLBCL, which may help to guide treatment in clinical trial.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsFluorodeoxyglucose F18Lymphoma, Large B-Cell, DiffusePositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overCyclophosphamideDoxorubicinFemaleHumansMaleMiddle AgedPrednisonePrognosisRadiopharmaceuticalsCyclophosphamideDoxorubicinFluorodeoxyglucose F18PrednisoneRadiopharmaceuticalsRituximabVincristineDiffuse large B cell lymphomaInternational prognostic indexMetabolic tumor volumePET/CTPrognosis

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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.