18F-FDG PET/CT as a potential predictor of survival in patient with oesophageal cancer: a preliminary result

Fikri, A. S. Fathinul; Dharmendran, R; Vikneswaran, P.; Nordin, Abdul Jalil

doi:10.1007/s00261-014-0343-2

Cited by 6 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Metabolic parameters of PET images were most frequently used in clinical practice and studies (29,30). Although as shown in previous meta-analysis, MTV and TLG was potentially useful prognostic markers of PFS and OS in patients with ovarian cancer (13,14).…”

Section: Discussionmentioning

confidence: 97%

Radiomics Analysis of PET and CT Components of 18F-FDG PET/CT Imaging for Prediction of Progression-Free Survival in Advanced High-Grade Serous Ovarian Cancer

Wang

2021

Front. Oncol.

View full text Add to dashboard Cite

ObjectiveTo investigate radiomics features extracted from PET and CT components of 18F-FDG PET/CT images integrating clinical factors and metabolic parameters of PET to predict progression-free survival (PFS) in advanced high-grade serous ovarian cancer (HGSOC).MethodsA total of 261 patients were finally enrolled in this study and randomly divided into training (n=182) and validation cohorts (n=79). The data of clinical features and metabolic parameters of PET were reviewed from hospital information system(HIS). All volumes of interest (VOIs) of PET/CT images were semi-automatically segmented with a threshold of 42% of maximal standard uptake value (SUVmax) in PET images. A total of 1700 (850×2) radiomics features were separately extracted from PET and CT components of PET/CT images. Then two radiomics signatures (RSs) were constructed by the least absolute shrinkage and selection operator (LASSO) method. The RSs of PET (PET_RS) and CT components(CT_RS) were separately divided into low and high RS groups according to the optimum cutoff value. The potential associations between RSs with PFS were assessed in training and validation cohorts based on the Log-rank test. Clinical features and metabolic parameters of PET images (PET_MP) with P-value <0.05 in univariate and multivariate Cox regression were combined with PET_RS and CT_RS to develop prediction nomograms (Clinical, Clinical+ PET_MP, Clinical+ PET_RS, Clinical+ CT_RS, Clinical+ PET_MP + PET_RS, Clinical+ PET_MP + CT_RS) by using multivariate Cox regression. The concordance index (C-index), calibration curve, and net reclassification improvement (NRI) was applied to evaluate the predictive performance of nomograms in training and validation cohorts.ResultsIn univariate Cox regression analysis, six clinical features were significantly associated with PFS. Ten PET radiomics features were selected by LASSO to construct PET_RS, and 1 CT radiomics features to construct CT_RS. PET_RS and CT_RS was significantly associated with PFS both in training (P <0.00 for both RSs) and validation cohorts (P=0.01 for both RSs). Because there was no PET_MP significantly associated with PFS in training cohorts. Only three models were constructed by 4 clinical features with P-value <0.05 in multivariate Cox regression and RSs (Clinical, Clinical+ PET_RS, Clinical+ CT_RS). Clinical+ PET_RS model showed higher prognostic performance than other models in training cohort (C-index=0.70, 95% CI 0.68-0.72) and validation cohort (C-index=0.70, 95% CI 0.66-0.74). Calibration curves of each model for prediction of 1-, 3-year PFS indicated Clinical +PET_RS model showed excellent agreements between estimated and the observed 1-, 3-outcomes. Compared to the basic clinical model, Clinical+ PET_MS model resulted in greater improvement in predictive performance in the validation cohort.ConclusionPET_RS can improve diagnostic accuracy and provide complementary prognostic information compared with the use of clinical factors alone or combined with CT_RS. The newly developed radiomics nomogram is an effective tool to predict PFS for patients with advanced HGSOC.

show abstract

Section: Discussionmentioning

confidence: 97%

Radiomics Analysis of PET and CT Components of 18F-FDG PET/CT Imaging for Prediction of Progression-Free Survival in Advanced High-Grade Serous Ovarian Cancer

Wang

2021

Front. Oncol.

View full text Add to dashboard Cite

show abstract

“…Several previous studies investigated the predictive and prognostic role of sequential F-18 FDG PET/CT for metabolic tumor response and survival in LAEC treated preoperatively by CRT and revealed conflicting results [17,18,19,20,21,22,23,24,25,26,27,28]. Most of these studies used the SUV max values for the prediction of metabolic response and survival in LAEC patients.…”

Section: Discussionmentioning

confidence: 99%

“…Most of these studies used the SUV max values for the prediction of metabolic response and survival in LAEC patients. Fathinul Fikri et al [19 ]reported that pretreatment with F-18 FDG PET/CT SUV max of a primary tumor and the presence of FDG-avid lymph nodes independently predict survival in patients with esophageal carcinoma which may potentially be used as surrogate markers of prognostic and therapeutic purposes. Although different threshold values were used, other studies showed that ΔSUV max was associated with survival in LAEC treated preoperatively by CRT [20,21,22,23,24].…”

Section: Discussionmentioning

confidence: 99%

Changes in Total Lesion Glycolysis Evaluated by Repeated F-18 FDG PET/CT as Prognostic Factor in Locally Advanced Esophageal Cancer Patients Treated with Preoperative Chemoradiotherapy

et al. 2016

View full text Add to dashboard Cite

Aims: The present study was aimed to investigate whether volumetric parameters measured by sequential F-18 fluoro-D-glucose (F-18 FDG) positron emission tomography/computed tomography (PET/CT) could be used as prognostic factors in patients with locally advanced esophageal cancer (LAEC) who received preoperative chemoradiotherapy (CRT). Methods: A total of 61 patients with LAEC were included in the current study. All patients were evaluated by F-18 FDG PET/CT before and after 46 Gy of radiotherapy with a concurrent cisplatin-based chemotherapy. Initial, second, and percent changes (Δ, %) of semiquantitative and volumetric parameters were used to calculate recurrence-free survival (RFS) and overall survival (OS). The median values of each parameter were used as cutoff values. The prognostic significance was assessed using univariate and multivariate Cox proportional hazard regression analyses. Results: Cox proportional hazard regression analyses revealed that change in total lesion glycolysis (ΔTLG) was a potent predictor of RFS and OS. Kaplan-Meier survival curves showed better prognosis in higher ΔTLG. Conclusion: Our data suggest that ΔTLG measured by sequential F-18 FDG PET/CT after preoperative CRT could provide prognostic information in LAEC patients.

show abstract

The prognostic value of pretreatment [18F]FDG PET/CT parameters in esophageal cancer: a meta-analysis

Huang,

Wang,

Wang

et al. 2024

Eur Radiol

View full text Add to dashboard Cite

18F-FDG PET/CT as a potential predictor of survival in patient with oesophageal cancer: a preliminary result

Abstract: Pretreatment 18F-FDG PET-CT SUVmax of a primary tumour and the presence of FDG-avid lymph nodes independently predict survival in patients with oesophageal carcinoma which may potentially be used as surrogate markers for prognostic and therapeutic purposes.

Cited by 6 publications

References 18 publications

Radiomics Analysis of PET and CT Components of 18F-FDG PET/CT Imaging for Prediction of Progression-Free Survival in Advanced High-Grade Serous Ovarian Cancer

Radiomics Analysis of PET and CT Components of 18F-FDG PET/CT Imaging for Prediction of Progression-Free Survival in Advanced High-Grade Serous Ovarian Cancer

Changes in Total Lesion Glycolysis Evaluated by Repeated F-18 FDG PET/CT as Prognostic Factor in Locally Advanced Esophageal Cancer Patients Treated with Preoperative Chemoradiotherapy

The prognostic value of pretreatment [18F]FDG PET/CT parameters in esophageal cancer: a meta-analysis

Contact Info

Product

Resources

About