Evidence map›Paper›PMID 38526594›Full record

ArticleAbdominal radiology (New York)2024

Validation of the 2018 FIGO staging system for stage IIIC cervical cancer by determining the metabolic and radiomic heterogeneity of primary tumors based on

Yun Zhang, Yuxiao Hu, Shuang Zhao, Shanshan Xu

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2024. 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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5 · Who and what money

Authors and funding

4 authors.

Yun ZhangDepartment of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Yuxiao HuDepartment of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China. hyx_0102@yeah.net.ORCID 0000-0003-3520-6634
Shuang ZhaoDepartment of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Shanshan XuDepartment of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.

Funding

Key Project of Jiangsu Commission of Health K2023021The Special Project of Clinical Research on Truth-seeking ZL202210The Young Talents Program of Jiangsu Cancer Hospital YC201801
6 · The paper itself

Abstract

purposeThis study aimed to validate the 2018 FIGO staging system of cervical cancer (CC) by determining the metabolic and radiomic heterogeneity of primary tumors between stage IIIC1 and IIIC2.

methods168 patients with squamous cell CC underwent pre-treatment fluorine-18 fluorodeoxyglucose positron emission computed tomography (

resultsThe IIIC1 and IIIC2 groups did not differ significantly in age, weight, height, or the 10 major metabolic parameters (P > 0.05). The AUCs of the 4 models were 0.577, 0.639, 0.763, and 0.506, respectively, in the training cohort, and 0.789, 0.699, 0.761, and 0.538, respectively, in the testing cohort. The model fit of the logistic regression model based on CT + PET data was good in both the training and testing cohorts.

conclusionOur study offers additional diagnostic options for PALN metastasis, which could impact treatment decisions. Our results indirectly support the conclusions of previous studies recommending that primary tumors should be considered during IIIC staging.

Indexed as

Fluorodeoxyglucose F18Neoplasm StagingPositron Emission Tomography Computed TomographyRadiopharmaceuticalsUterine Cervical NeoplasmsAdultAgedCarcinoma, Squamous CellFemaleHumansMiddle AgedRadiomicsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG-PET/CT2018 FIGO staging systemCervical cancerMetabolic heterogeneityRadiomic heterogeneity

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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.