SUVmax measured by 18F FDG PET/CT in the primary tumor in relations to clinical and pathological features of endometrial cancer

Walentowicz-Sadlecka, Małgorzata; Sadłecki, Paweł; Małecki, Bogdan; Walentowicz, Paweł; Marszałek, Andrzej; Domaracki, Piotr; Grabiec, Marek

doi:10.17772/gp/1634

Cited by 8 publications

(4 citation statements)

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“…Similarly. the obtained results agree with some investigations evaluating the relationship between SUV parameters and deep MI [45,46]. According to metabolic parameters, some groups suggested that MTV and TLG might be promising markers for LN involvement [47]; the present work corroborates this hypothesis, as MTV and TLG were the only parameters capable of discriminating and predicting LN metastases.…”

Section: Discussionsupporting

confidence: 91%

Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness

Bezzi

Bergamini

Mathoux

et al. 2023

Cancers

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Purpose: to investigate the preoperative role of ML-based classification using conventional 18F-FDG PET parameters and clinical data in predicting features of EC aggressiveness. Methods: retrospective study, including 123 EC patients who underwent 18F-FDG PET (20092021) for preoperative staging. Maximum standardized uptake value (SUVmax), SUVmean, metabolic tumour volume (MTV), and total lesion glycolysis (TLG) were computed on the primary tumour. Age and BMI were collected. Histotype, myometrial invasion (MI), risk group, lymph-nodal involvement (LN), and p53 expression were retrieved from histology. The population was split into a train and a validation set (80–20%). The train set was used to select relevant parameters (Mann-Whitney U test; ROC analysis) and implement ML models, while the validation set was used to test prediction abilities. Results: on the validation set, the best accuracies obtained with individual parameters and ML were: 61% (TLG) and 87% (ML) for MI; 71% (SUVmax) and 79% (ML) for risk groups; 72% (TLG) and 83% (ML) for LN; 45% (SUVmax; SUVmean) and 73% (ML) for p53 expression. Conclusions: ML-based classification using conventional 18F-FDG PET parameters and clinical data demonstrated ability to characterize the investigated features of EC aggressiveness, providing a non-invasive way to support preoperative stratification of EC patients.

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Section: Discussionsupporting

confidence: 91%

Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness

Bezzi

Bergamini

Mathoux

et al. 2023

Cancers

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“…Chung et al [39] concluded that the median preoperative SUV max in cervical cancer was significantly higher in patients with higher FIGO stage, pelvic lymph node metastasis, parametrial involvement, large tumor size, presence of lymphovascular space invasion and deep cervical stromal invasion. Walentowicz-Sadłecka et al [40] also found that higher SUV max in endometrial cancer was significantly associated with high FIGO stage, deep myometrial invasion, high-grade and high-risk tumors. As a noninvasive method, SUV on 18 F-FDG PET/CT therefore seemed to be among the useful predictors for patients with carcinomas of the uterus before treatment.…”

Section: Discussionmentioning

confidence: 98%

Standardized Uptake Value on 18F-FDG PET/CT as a Prognostic Factor for Survival of Women with Malignant Uterine Tumors: A Meta-Analysis

Pan

Yao²,

Ma³

2015

Gynecol Obstet Invest

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Background: Malignant uterine tumors are crucial in the evaluation of prognosis and the determination of therapeutic strategy. Aim: This meta-analysis of the available literature aimed to investigate the prognostic value of standardized uptake value (SUV) on fluorine-18-fluorodeoxyglucose positron emission tomography with computed tomography (¹⁸F-FDG PET/CT) in uterine malignancies before treatment. Methods: The PubMed, MEDLINE and EMBASE databases (1990 to February 2014) were searched to identify studies evaluating SUV on ¹⁸F-FDG PET/CT as a prognostic tool for predicting long-term survival in patients with carcinomas of the uterus. The χ² test and the I² index were used to estimate heterogeneity among the trials selected in the meta-analysis. The combined hazard ratio was calculated by using a fixed- or random-effects model according to heterogeneity. Results: Thirteen studies with a total of 1,196 patients were eligible for analysis. High pretreatment SUV_max was significantly associated with poorer event-free survival and overall survival, and the summarized hazard ratio was 3.33 (95% confidence interval 2.34-4.74) and 1.31 (95% confidence interval 1.03-1.67), respectively. Conclusion: The present evidence indicates that SUV on ¹⁸F-FDG PET/CT seems to be a valuable prognostic indicator for survival of patients with malignant uterine tumors. Given that ¹⁸F-FDG PET/CT can provide both morphologic and functional information, we suggest utilizing PET/CT and its quantitative marker in uterine malignancies before treatment.

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“…There are controversies about whether the SUVmax value in the primary tumor differs in some prognostic factors. The mean SUVmax value in the primary uterine tumor grade III (2,3,6,7), advanced stage (III-IV) (2,6), deep myometrial invasion (6,7,8), cervical involvement (7) in patients with nodal metastasis (2,7) and large tumor size (≥4 cm) (3,8,9) was found to be significantly higher in patients with grade III (2,3,6,7), advanced stage (III-IV) (2,6), deep myometrial invasion (6,7,8), cervical involvement (7) in patients with nodal metastasis (2,7) and large tumor size (≥4 cm) (3,8,9). There are also studies that show that SUVmax values are not different in their presence and absence of some of the prognostic factors.…”

Section: Discussionmentioning

confidence: 99%

Association Between Maximum Standardize Uptake Value and Prognostic Factors at Endometrioid Type Endometrial Carcinoma

Gülseren

Kocaer

Özdemir

et al. 2020

Gynecol Obstet Reprod Med

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Objective: Investigate the relationship between the maximum standardize uptake value (SUVmax) values and the prognostic factors in endometrioid-type endometrial cancer (EEC) patients undergoing preoperative positron emission tomography / computed tomography (PET/CT).Study Design: We reviewed retrospectively the records of patients with EEC diagnosis who underwent hysterectomy in Gynecologic Oncology Clinic of Tepecik Training and Research Hospital between January 2010 and January 2017 in this retrospective study. Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off values of SUVmax for predicting clinical parameters. The area under the ROC curve (AUC) is presented as a measure of discrimination.Results: It was calculated that the SUVmax values in the uterine tumor were higher and statistically significant in the presence of advanced stage (III-IV), histologic grade III, deep myometrial invasion (≥1 / 2) and large tumor size (≥4 cm) from prognostic factors. The SUVmax values of the groups with and without cervical invasion did not different from each other. In order to use the SUVmax value as a diagnostic test in the ROC analysis, the AUC values were as follows; the grade of advanced stage tumor was 0,685, the grade 3 tumor was 0,797, the depth of myometrial invasion was 0,781, and the size of the large tumor was 0,905. Conclusion: SUVmax value in primary uterine tumor was found to be higher in prognostic factors in patients with advanced stage, high grade, deep myometrial invasion and large tumor.

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SUVmax measured by 18F FDG PET/CT in the primary tumor in relations to clinical and pathological features of endometrial cancer

Cited by 8 publications

References 0 publications

Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness

Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness

Standardized Uptake Value on <sup>18</sup>F-FDG PET/CT as a Prognostic Factor for Survival of Women with Malignant Uterine Tumors: A Meta-Analysis

Association Between Maximum Standardize Uptake Value and Prognostic Factors at Endometrioid Type Endometrial Carcinoma

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