Evidence map›Paper›PMID 42147886›Full record

ArticleQuantitative imaging in medicine and surgery2026

Nonlinear association between standardized uptake value (SUV) index based on

Jinbao Feng, Mengyue Hu, Xiaonan Shao, Jianxiong Gao, Yan Sun, Yaoting Zhu, Yuhao Fan, Yunmei Shi, Rong Niu

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Article in Quantitative imaging in medicine and surgery, 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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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.

Jinbao FengDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Mengyue HuDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Xiaonan ShaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Jianxiong GaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Yan SunDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Yaoting ZhuDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Yuhao FanDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Yunmei ShiDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.
Rong NiuDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou Key Laboratory of Molecular Imaging, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The new grading system for lung invasive non-mucinous adenocarcinoma (INMA) was proposed by the Pathology Committee of the International Association for the Study of Lung Cancer (IASLC) in 2020. Accurate identification of IASLC grading is crucial for the precise diagnosis, treatment, and prognosis evaluation of lung INMA. We aimed to investigate the association between standardized uptake value (SUV) index, defined as tumor maximum standardized uptake value (SUV Methods: This retrospective study analyzed clinical and imaging data from 782 patients diagnosed with lung INMA via postoperative pathology who underwent preoperative Results: Among all cases, 578 (73.9%) were classified as Grades 1-2, and 204 (26.1%) as Grade 3 according to the IASLC grading system. Multivariable logistic regression adjusted for relevant clinical and imaging covariates revealed that the SUV index was independently associated with an increased risk of Grade 3 lung INMA [odds ratio (OR) =2.086, 95% confidence interval (CI): 1.728-2.517, P<0.001]. A near "S-shaped" curve was observed in the relationship between SUV index and Grade 3 lung INMA (effective degrees of freedom: 2.488, P<0.001). Specifically, when the SUV index was between 5.636 and 8.041, a sharp increase in the risk of Grade 3 lung INMA was evident (OR =3.359, 95% CI: 1.730-6.521, P<0.001), indicating a threshold effect. Beyond 8.041, the association plateaued (OR =1.020, 95% CI: 0.344-3.025, P Conclusions: A higher SUV index was associated with an increased risk of Grade 3 disease, following a nonlinear, S-shaped trend.

Indexed as

International Association for the Study of Lung Cancer grading system (IASLC grading system)Lung invasive non-mucinous adenocarcinoma (lung INMA)positron emission tomography/computed tomography (PET/CT)standardized uptake value index (SUV index)

Identifiers

PMID42147886
PMCPMC13178379

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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.