Synergic role of preoperative 18F-fluorodeoxyglucose PET and MRI parameters in predicting histopathological features of endometrial cancer

Mapelli, Paola; Ironi, Gabriele; Bergamini, Alice; Mangili, Giorgia; Rancoita, Paola Mv; Taccagni, G; Venturini, Elena; Petrone, Micaela; Nisi, Valerio; Fallanca, Federico; Marzi, Patrizia De; Colarieti, Anna; Candotti, Giorgio; Bocciolone, Luca; Candiani, Massimo; Cobelli, Francesco De

doi:10.1097/mnm.0000000000001257

Cited by 10 publications

(7 citation statements)

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“…However, very few studies have investigated the accuracy and predictive value of simultaneous 18F-FDG PET/MRI in the staging setting of endometrial cancer, so far. Volume index, TLG and SUVmax/ADCmean ratio derived from distinct MRI and PET scans predict myometrial invasion and lymph node involvement or disease recurrence [21,27,[32][33][34].…”

Section: Discussionmentioning

confidence: 99%

“…Median SUVmax, SUVmean40, MTV40 and TLG were respectively 21 MRI detected the primary tumor in all patients (100%) and pelvic lymph node involvement was found in 8 patients (patient based; 28%). Primary tumor median TTV, volume index and TVR were 9.47 cc (IQR 3.5 -42.65), 23.92 cc (IQR 7.66-98.48) and 19.46 cc (IQR 7.…”

Section: F-fdg Pet/mr Image Ndingsmentioning

confidence: 94%

“…Evaluation of deep myometrial invasion and lymph node involvement derived respectively from MRI and PET studies in patients with endometrial cancer has shown to have good predictive value [21,22].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid PET/MRI in Staging Endometrial Cancer

et al. 2022

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Purpose. Assessment of deep myometrial invasion (MI) and lymphovascular space invasion (LVSI) is of utmost importance in preoperative staging of endometrial cancer (EC). Imaging parameters derived respectively from MRI and PET have shown good predictive value. Aim of the present study is to assess the diagnostic performance of hybrid 18F-FDG PET/MRI in EC staging, with particular focus on MI and LVSI detection.Methods. Prospective monocentric study including 35 patients with biopsy-proven EC undergoing preoperative 18F-FDG PET/MRI for staging purpose. Histological examination was the reference standard. PET (SUVmax, SUVmean40, MTV40, TLG40) and MRI (volume index-VI, total tumor volume-TTV, tumor volume ratio-TVR, ADCmean, ADCmin) parameters were calculated on the primary tumor, and their role in predicting histological ndings (grade, high-vs. low-risk groups, LVSI, MI, p53 hyperexpression) was assessed through a ROC analysis.Results. 18F-FDG-PET/MRI identi ed the primary tumor in all patients. In the LVSI detection, PET/MRI demonstrated high accuracy, speci city and negative predictive value (sensitivity=0.8571, speci city=0.9286, accuracy=0.9143, NPV=0.9630, PPV=0.7500). Assessment of MI using PET/MRI correctly staged 27 patients, showing a good positive predictive value (77.1%; sensitivity= 0.7273, speci city=0.8462, accuracy=0.7714, PPV=0.8889, NPV=0.647). VI, TTV, and TVR signi cantly predicted risk groups (p=0.0059, 0.0235, 0.0181, respectively). VI, TTV, TVR, MTV40 and TLG40 signi cantly predicted LVSI (p=0.0023, 0.0068, 0.0068, 0.0027, 0.0139, respectively). Imaging was not able to predict grading, MI nor p53 hyper-expression.Conclusion. 18F-FDG-PET/MRI has good accuracy in preoperative staging of EC; PET and MRI parameters have synergic role in preoperatively predicting LVSI, with MRI parameters being also predictive for EC risk groups.

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Section: Discussionmentioning

confidence: 99%

Section: F-fdg Pet/mr Image Ndingsmentioning

confidence: 94%

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Hybrid PET/MRI in Staging Endometrial Cancer

et al. 2022

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“…The results showed that the accuracy and sensitivity of residual and new lesions in PHC patients detected by MRI was significantly higher than that by CECT (P<0.05). Mapelli et al ( 20 ) pointed out that the accuracy and sensitivity of CECT were 82.31% and 71.96%, respectively, which were significantly lower than the 93.68% and 93.29% of MRI, respectively. This demonstrated that MRI examination is more comprehensive and accurate in evaluating the activity of tumor lesions in patients postoperatively, and its accuracy and sensitivity in detecting residual and new lesions in patients after surgery were also higher.…”

Section: Discussionmentioning

confidence: 99%

Comparative analysis of the efficacy and accuracy of magnetic resonance imaging (MRI) and contrast-enhanced CT for residual and new lesions after transcatheter arterial chemoembolization (TACE) in patients with primary liver cancer

Shao¹,

Wang²,

Yu³

et al. 2021

Transl Cancer Res TCR

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Background: The purpose of this study was to investigate the efficacy and accuracy of magnetic resonance imaging (MRI) and contrast-enhanced computed tomography (CECT) for residual and new lesions after transcatheter arterial chemoembolization (TACE) in patients with primary liver cancer (PHC).Methods: Seventy-two PHC patients admitted to Linyi Central Hospital from May 2018 to May 2020 were selected as the study subjects, with a total of 92 lesions. All patients were treated with TACE, and were followed up at 6 months postoperatively. In addition, all patients underwent digital subtraction angiography (DSA), and with DSA results serving as the gold standard for diagnosis, the efficacy and accuracy of MRI and CECT for residual and new lesions after TACE in PHC patients were evaluated.Results: There were no significant differences in the specificity between the two diagnostic methods (P>0.05), and the diagnostic accuracy and sensitivity of MRI were markedly higher than those of CECT (P<0.05). The number of residual and new lesions diagnosed by MRI was notably higher than that by multislice spiral computed tomography (MSCT) (P<0.05), and the detection rate of residual and new lesions after TACE in PHC patients with different types of iodized oil deposition by MRI was significantly higher than that by CECT (P<0.05). Also, the number of postoperative tumor capsules diagnosed by MRI was considerably higher than that by CECT (P<0.05). There were no significant differences between the two diagnostic methods in the score of residual enhancement appearances in the arterial phase after surgery (P>0.05). Furthermore, there were no notable differences between the two diagnostic methods in the diagnosis of portal vein tumorous emboli and the source of blood supply to lesions after surgery (P>0.05). Conclusions:The diagnostic accuracy and sensitivity of MRI for residual and new lesions after TACE in PHC patients were higher than those of CECT. However, these two diagnostic methods were similar in diagnosing portal vein tumorous emboli, the source of blood supply to lesions, and the score of residual enhancement appearances in the arterial phase after surgery.

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“…18 Ffluoro-deoxyglucose ( 18 F-FDG) positron emission tomography (PET) has a well-established role in the preoperative staging of EC patients, and it is included in the clinical guidelines on EC management [24,25]. Precisely, 18 F-FDG is useful in providing a whole-body assessment of the disease, therefore identifying possible LN involvement and distant metastases [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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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Synergic role of preoperative 18F-fluorodeoxyglucose PET and MRI parameters in predicting histopathological features of endometrial cancer

Cited by 10 publications

References 32 publications

Hybrid PET/MRI in Staging Endometrial Cancer

Hybrid PET/MRI in Staging Endometrial Cancer

Comparative analysis of the efficacy and accuracy of magnetic resonance imaging (MRI) and contrast-enhanced CT for residual and new lesions after transcatheter arterial chemoembolization (TACE) in patients with primary liver cancer

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

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