|Table of Contents|

Exploration of the diagnostic value of different bone marrow FDG uptake patterns in newly diagnosed non-Hodgkin lymphoma bone marrow infiltration

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2025 03
Page:
459-466
Research Field:
Publishing date:

Info

Title:
Exploration of the diagnostic value of different bone marrow FDG uptake patterns in newly diagnosed non-Hodgkin lymphoma bone marrow infiltration
Author(s):
PENG Yan1SHEN Ying2CHEN Hongli2GU Liufang2WU Tao1ZHENG Long1QU Wei1
1.Department of Nuclear Medicine;2.Department of Hematology,the Second Affiliated Hospital of Xi'an Jiaotong University,Shaanxi Xi'an 710004,China.
Keywords:
lymphomapositron-emission tomography18F-FDGbone marrow infiltrationbone marrow biopsy
PACS:
R733.4
DOI:
10.3969/j.issn.1672-4992.2025.03.016
Abstract:
Objective:To evaluate the pattern of bone marrow infiltration (BMI) in newly diagnosed non-Hodgkin lymphoma (NHL) using 18F-FDG PET/CT,and to explore the diagnostic value of different FDG bone marrow uptake patterns for extramedullary infiltration.Methods:Retrospective analyzing of clinical and imaging data from 142 patients who newly diagnosed with NHL and underwent PET/CT examination.Two modes of FDG uptake assessment were used to compare the clinical differences of different bone marrow uptake patterns and to analyze the value of PET/CT in diagnosing bone marrow infiltration in comparison with bone marrow biopsy (BMB).A multivariate Logistic diagnostic model was constructed to evaluate the diagnostic efficacy of the three models.Results:In model 1,among 142 patients,there were 58 in group A,51 in group B,and 33 in group C.The BMB positive rate in group C was significantly higher than that in group A and group B (P<0.017).In model 2,there were 29 positive cases and 113 negative cases,with the BMB positive rate in the positive group being higher than that in the negative group (55.2% vs 25.7%,P=0.002).A total of 58 cases were diagnosed with bone marrow infiltration,of which 44 were BMB positive,and the diagnostic sensitivity,specificity,and accuracy were 77.6%(45/58),100%(84/84),and 90.8%(129/142).Multivariate Logistic regression analysis showed that different bone marrow uptake patterns,β2-microglobulin,and Ki67 were independent risk factors for BMI (P<0.05),and were included in the Logistic diagnostic model.By comparing the areas under the curve (AUC) of the three diagnostic models for diagnosing BMI,which were 0.804,0.750 and 0.915,the diagnostic performance of the Logistic-BMI model was better than that of model 1 (Z=2.78,P=0.003) and model 2 (Z=3.24,P<0.001).The diagnostic performance of model 1 and model 2 was similar (Z=0.90,P=0.184).The Logistic-BMI model had a diagnostic sensitivity of 84.5%,specificity of 83.3%,and accuracy of 83.8% in diagnosing BMI.Conclusion:Model 1 is simple and easy to operate,with diagnostic performance superior to traditional models.The Logistic-BMI model further enhances the accuracy of PET/CT diagnosis and reduces missed diagnoses.

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Memo:
陕西省自然科学基础研究计划项目(编号:2023JC-QN-0960)
Last Update: 1900-01-01