Evidence map›Paper›PMID 40468386›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2025

Prognostic value of the pre-treatment SUVmax of

Xingmei Lu, Kate Huang, Peng Li, Yida Li, Xiuhuan Ji, Suidan Chen, Jianmin Li

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xingmei LuDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Kate HuangDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Peng LiDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Yida LiWenzhou Key Laboratory of Basic Science and Translational Research of Radiation Oncology, Zhejiang Engineering Research Center for Innovation and Application of Intelligent Radiotherapy Technology, Wenzhou, 325000, Zhejiang, China.
Xiuhuan JiDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Suidan ChenDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Jianmin LiDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China. wzyxyljmin@163.com.

Funding

the Basic Medical Health and Technology Project of Wenzhou No.Y2020944
6 · The paper itself

Abstract

backgroundAccurate assessment and prediction of patient prognosis, early identification of high-risk patients, and improvement of clinical outcomes for individuals with extranodal natural killer/T-cell lymphoma (ENKTCL) are critical. This study evaluates the prognostic value of a novel model combining maximum standardized uptake value (SUVmax) and absolute lymphocyte count (ALC) in ENKTCL patients.

methodsWe conducted a retrospective analysis of clinical data from 57 patients diagnosed with primary ENKTCL. Optimal cut-off values for SUVmax and ALC were determined using receiver operating characteristic (ROC) curves. Clinical characteristics were analyzed by Chi-squared tests or Fisher's exact tests. Survival analysis was performed using the Kaplan-Meier method and log-rank test, while independent prognostic factors were identified through Cox regression analysis.

resultsThe optimal cut-off values for SUVmax and ALC were established at 11.8 and 0.87 × 10

conclusionPre-treatment SUVmax and ALC can serve as valuable indicators for predicting the prognosis of ENKTCL patients. Compared to IPI, NRI, and PINK scores, the SUVmax-ALC model demonstrates superior performance in risk stratification, suggesting its potential as an effective personalized prognostic tool for ENKTCL patients.

Indexed as

Fluorodeoxyglucose F18Lymphoma, Extranodal NK-T-CellPositron Emission Tomography Computed TomographyAdultAgedFemaleHumansLymphocyte CountMaleMiddle AgedPrognosisRadiopharmaceuticalsRetrospective StudiesROC CurveFluorodeoxyglucose F18Radiopharmaceuticals18F-fluorodeoxyglucose (18F-FDG)Absolute lymphocyte count (ALC)Extranodal natural killer/T-cell lymphoma (ENKTCL)Maximum standardized uptake value (SUVmax)Positron emission tomography/Computed tomography (PET/CT)

Identifiers

PMID40468386
PMCPMC12139384

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