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Predictive value of clinical characteristics and baseline 18F-FDG PET/CT quantization parameters in primary adrenal diffuse large B-cell lymphoma: a preliminary study.
Huang, Wenpeng; Chao, Fangfang; Li, Liming; Gao, Yuan; Qiu, Yongkang; Wang, Wei; Gao, Jianbo; Han, Xingmin; Kang, Lei.
Afiliação
  • Huang W; Department of Nuclear Medicine, Peking University First Hospital, Beijing, China.
  • Chao F; Department of Nuclear Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Li L; Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Gao Y; Department of Nuclear Medicine, Peking University First Hospital, Beijing, China.
  • Qiu Y; Department of Nuclear Medicine, Peking University First Hospital, Beijing, China.
  • Wang W; Department of Pathology, Peking University First Hospital, Beijing, China.
  • Gao J; Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Han X; Department of Nuclear Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Kang L; Department of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Quant Imaging Med Surg ; 13(12): 8571-8586, 2023 Dec 01.
Article em En | MEDLINE | ID: mdl-38106313
ABSTRACT

Background:

Primary adrenal diffuse large B-cell lymphoma (PA-DLBCL) is a rare occurrence, has a very poor prognosis, and is marked by a high risk of relapse. Accurate prediction of patient prognosis before treatment initiation, along with timely adjustment of the treatment plan, holds paramount importance. 2-Deoxy-2-[fluorine-18]-fluoro-D-glucose (18F-FDG) positron emission tomography combined with computed tomography (PET/CT) imaging techniques are conventionally performed prior to treatment initiation in DLBCL patients, offering indispensable functional and metabolic insights into lymphoma lesions.

Methods:

We conducted a retrospective case-control study using data collected from January 2014 to December 2022, including 24 patients diagnosed with PA-DLBCL. Clinical information of patients was collected based on inpatient medical records, including age, gender, B symptoms, adrenocorticotropic hormone (ATCH), lactate dehydrogenase (LDH), ß2-microglobulin, albumin (Alb), ferritin (Fe), blood calcium, Eastern Cooperative Oncology Group performance status (ECOG-PS), International Prognostic Index, Ann Arbor staging, number of involved organs, and Hans' algorithm. Prior to treatment, all patients underwent baseline 18F-FDG PET/CT, and the metabolic parameters of the tumor were calculated using a threshold of 41% of maximum standardized uptake value (SUVmax), including metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Prognostic analysis of overall survival (OS) was performed using Kaplan-Meier survival analysis, as well as univariate and multifactor Cox proportional hazards regression models.

Results:

The 24 enrolled patients comprised 16 men and 8 women (median age 65 years, range 51-90 years). The median follow-up period was 17.5 months (range, 1-107 months). In univariate analysis, Ann Arbor stage, ß2-microglobulin, ATCH, number of involved organs, regions of lymph node involvement, treatment, chemotherapy cycles, SUVmax, MTV, and TLG showed association with OS (P<0.1). In multivariate analysis, Ann Arbor stage, ß2-microglobulin, ATCH, number of involved organs, and treatment were shown to be independent prognostic factors for OS. We found that SUVmax, MTV, and TLG correlated with Ann Arbor staging (P<0.05), mean standardized uptake value (SUVmean) and TLG correlated with the number of involved organs (P<0.05).

Conclusions:

PA-DLBCL is characterized by a low incidence and a poor prognosis. Baseline 18F-FDG PET/CT quantization parameters showed correlations with Ann Arbor staging and number of involved organs. Increasing the sample size or prolonging the follow-up period may reveal the predictive value of PET/CT quantization parameters.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article