ArticleTurkish journal of medical sciences2022
Radiomics analysis of uterine tumors in 18F-fluorodeoxyglucose positron emission tomography for prediction of lymph node metastases in endometrial carcinoma.
Article in Turkish journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
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9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Accuracy of radiomics in the diagnosis and preoperative high-risk assessment of endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- Predictive models for lymph node metastasis in endometrial cancer: A systematic review and bibliometric analysis.Women's health (London, England)Pooled it
- 2-[European journal of nuclear medicine and molecular imaging · 2024Article
- More than meets the eye: 2-[European journal of nuclear medicine and molecular imaging · 2024Article
- 18F-FDG PET/MRI and 18F-FDG PET/CT for the Management of Gynecological Malignancies: A Comprehensive Review of the Literature.Journal of imaging · 2023Review
- Article
- Advances in Radiomics Research for Endometrial Cancer: A Comprehensive Review.Journal of Cancer · 2023Review
- Dynamic PET Imaging Using Dual Texture Features.Frontiers in computational neuroscience · 2021Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn this single-center study, we aimed to analyze texture features of primary uterine lesions on 18F-FDG PET/CT to predict lymph node metastases.
methodsTotally, 157 (mean age: 62 ± 10.2 years) patients were included in the analysis. Histopathological examination results were considered as the standard reference for nodal involvement. On 18F-FDG PET/CT images, only the primary tumor was segmented. SUVmax, SUVmean, SUVpeak, MTV, and TLG of primary uterine lesions were calculated for analyses. For texture analysis first, second, and higher-order texture features were calculated.
resultsMean diameter of primary uterine lesions was calculated as 35± 18.1 mm. Lymph node metastases were detected in 19% of patients in histopathological examination of surgical materials. While 26 patients had pelvic lymph node metastases, 19 patients had additional paraaortic lymph node metastases. On radiomics analysis for 20 features, a significant difference was found between patients with and without lymph node metastasis. With using data mining methods GLZLM ZLNU, EntropyGLCM, Entropyhisto, GLRLM LRHGE, GLZLM HGZE, GLZLM SZHGE, GLRLM HGRE, GLRLM SRHGE were found significant radiomics features to predict lymph node metastasis with a diagnostic accuracy of 0.8. DISCUSSION: The radiomics analysis of intratumoral heterogeneity is a promising method for improving triage of the patients for lymph node dissection in endometrial carcinoma.
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