Evidence map›Paper›PMID 42191947›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Optimized PET/CT response assessment for prognostic stratification compared with Lugano criteria in extranodal NK/T-Cell lymphoma.

Xinyu Zhang, Xiaojuan Zhang, Zitong Zhang, Xinyun Huang, Pengpeng Xu, Chong Jiang, Ying Miao, Rui Guo, Biao Li

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. 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

What it found

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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.

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

9 authors.

Xinyu Zhang *Department of Nuclear Medicine & Institute for medical imaging technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaojuan Zhang *Department of radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
Zitong Zhang *Department of Nuclear Medicine, West China Hospital, Sichuan University, Sichuan, China.
Xinyun HuangDepartment of Nuclear Medicine & Institute for medical imaging technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Pengpeng XuShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chong JiangDepartment of Nuclear Medicine, West China Hospital, Sichuan University, Sichuan, China. jiangc_nju@163.com.
Ying MiaoDepartment of Nuclear Medicine & Institute for medical imaging technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. my12023@rjh.com.cn.
Rui GuoDepartment of Nuclear Medicine & Institute for medical imaging technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. gr11734@rjh.com.cn.
Biao LiDepartment of Nuclear Medicine & Institute for medical imaging technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. lb10363@rjh.com.cn.ORCID 0000-0002-0493-2062

Funding

China Postdoctoral Science Foundation 2024M762244National Natural Science Foundation of China 82171975National Natural Science Foundation of China 82572319Natural Science Foundation of Tianjin Municipal Science and Technology Commission 23ZR1439600Science and Technology Commission of Shanghai Municipality 25TS1405600the PostDoctor Research Fund of West China Hospital, Sichuan University 2025HXBH087
6 · The paper itself

Abstract

purposeExtranodal natural killer/T-cell lymphoma (ENKTL) is an aggressive malignancy and usually involves the nasal cavity. Although the Lugano criteria is widely used for lymphoma response assessment, its applicability in ENKTL is limited by reliance on a single pre-treatment reference and a positive reference threshold with high false-positive rate. This study proposed and evaluated the ability of a novel evaluation system derived from the Lugano criteria to predict ENKTL treatment response.

methodsA total of 259 patients underwent baseline, interim, and end-of-treatment [

resultsThe three novel systems reclassified patients initially evaluated by Lugano. Reclassification from partial response or stable disease to a worse response category by IPET and IPN correlated with worse outcomes, whereas reclassification to complete response by NPU or IPN predicted improved outcomes. The IPN achieved the highest C-index for prediction of PFS and OS and remained independently associated with survival after multivariable adjustment.

conclusionThe IPN, IPET, and NPU criteria were superior to the Lugano classification for prognostic stratification. The IPN criteria had the best prediction performance and allowed early identification of high-risk patients.

Indexed as

Lymphoma, Extranodal NK-T-CellPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPrognosisTreatment OutcomeFluorodeoxyglucose F18[18F]FDG PET/CTExtranodal natural killer/T-cell lymphomaLugano criteriaPrognostic stratificationTreatment response

Identifiers

PMID42191947

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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.