Development and validation of a prognostic score for overall survival integrating baseline metabolically active tumor volume measured by 18F-FDG PET/CT and clinical factors for metastatic colorectal cancer patients.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3543-3543
Author(s):  
Erwin Woff ◽  
Alain Hendlisz ◽  
Lisa Salvatore ◽  
Federica Marmorino ◽  
Alfredo Falcone ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Multivariate Analysis ◽  
Fdg Pet ◽  
Tumor Volume ◽  
Prognostic Score ◽  
Risk Groups ◽  
Clinical Factors ◽  
Pet Ct ◽  
Fdg Pet Ct ◽  
Development And Validation

3543 Background: This study aimed to develop and validate a prognostic score integrating baseline metabolically active tumor volume (MATV) and clinical factors in metastatic colorectal cancer (mCRC) patients. Methods: The development cohort included chemorefractory mCRC patients enrolled in two prospective multicenter non-randomized trials evaluating sorafenib/regorafenib as last line therapy. The validation cohort included mCRC patients from another center, treated with chemotherapy and bevacizumab as first line. Baseline MATV was defined as the sum of metabolically active volumes of all target lesions identified on the baseline 18F-FDG PET/CT. MATV optimal cutoff for OS prediction was determined from the development cohort with Contal and O’Quigley’s method. MATV, age, gender, BMI, ECOG PS, years since diagnosis, and KRAS status were included in a multivariate analysis. A prognostic score to predict OS was developed from the development cohort using Cox proportional hazards model. Results: MATV and clinical factors were evaluable respectively in 155 and 122 patients of the development and validation cohorts. In univariate analysis, MATV with cutoff set at 100 cm³ identified two risk groups with different median OS (mOS) in both the development (4.5 vs 10.9 months, HR: 2.64; p < 0.001) and validation cohorts (20.9 vs 42.9 months, HR: 2.39; p < 0.001). A multivariate analysis identified four independent negative predictors of OS (high MATV, short time since diagnosis, poor PS, BMI < 25). Combining these factors in a prognostic score for OS (best cutoff:-2) allowed to identify two risk groups with different mOS in the development (4.4 vs 13.4 months, HR: 3.67; p < 0.001) and validation cohorts (25 vs 63.8 months, HR: 2.5; p = 0.001). Conclusions: In mCRC patients, the high prognostic value of baseline MATV found in the development cohort was confirmed by external validation, independently of patients’ treatment. In both the development and validation cohorts the prognostic score for OS allowed to identify two risk groups of mCRC patients with significantly different mOS. MATV and our prognostic score for OS should provide a firm basis for risk stratification, in clinical practice and research trials.

Baseline cell-free DNA (cfDNA) and metabolic tumor volume (MTV) independently predict outcome in metastatic chemorefractory colorectal cancer (mCRC).

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 11569-11569
Author(s):  
Erwin Woff ◽  
Pashalina Kehagias ◽  
Caroline Vandeputte ◽  
Tarek Kamoun ◽  
Thomas Guiot ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Fdg Pet ◽  
Proportional Hazards ◽  
Progression Free Survival ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Prognostic Scores ◽  
Pet Ct ◽  
Fdg Pet Ct ◽  
Independent Parameters

11569 Background: No validated prognostic biomarker is currently available for mCRC. This trial assessed cfDNA and MTV before treatment with regorafenib as prognostic biomarkers for progression-free survival (PFS) and overall survival (OS) in mCRC. Methods: After signed informed consent, mCRC patients were enrolled in a prospective non-randomized trial aiming to define unlikelihood to benefit from regorafenib (EudraCT number: 2012-005655-16) and assessed for cfDNA and FDG PET/CT MTV at baseline. cfDNA was extracted from 3mL of plasma and quantified using the Qubit 2.0 fluorometer. All target lesions were delineated on FDG PET/CT using a PERCIST-based threshold and their volumes were summed to obtain total MTV. MTV and cfDNA optimal cutoffs for OS and PFS prediction were determined by the Contal and O’Quigley’s method. MTV, cfDNA, age, gender, Body Mass Index (low, normal, high, obese), ECOG PS, number of chemotherapy lines (NCL), previous use of bevacizumab and presence of a KRAS mutation were included in a multivariate analysis. Results: MTV and cfDNA of 132 evaluable/141 eligible patients were well correlated (Spearman’s correlation coefficient = 0.70; p < 0.001) and risk groups for both PFS and OS were identified on the basis of cfDNA (cfDNA < 1 µg/mL; cfDNA≥1 µg/mL) and MTV (MTV < 100 cm³; 100-300 cm³; > 300 cm³). The multivariate analysis retained cfDNA, MTV, NCL, and obesity as independent parameters for PFS prediction, and cfDNA, MTV, NCL, BMI, and previous use of bevacizumab as independent parameters for OS prediction. Prognostic scores for PFS and OS were developed based on regression coefficients from the final Cox proportional hazards models. Prognostic scores for PFS (1.8 vs 5.3 months, HR: 3.15 for score ≥-3 vs < -3, (95% CI, 2.08-4.76); p < 0.001) and for OS (4.2 vs 13.9 months, HR: 4.59 for score ≥-6 vs < -6: (95% CI, 2.92-7.21); p < 0.001) both identified patients with much contrasted outcomes. Conclusions: Baseline cfDNA and MTV along with BMI parameters predict outcome in patients with mCRC before regorafenib onset. These parameters not related to treatment should be considered, if validated in further studies, as stratification factors in future clinical trials. Clinical trial information: 2012-005655-16.

scholarly journals Radiomic Analysis for Predicting Prognosis of Colorectal Cancer From Preoperative 18F-FDG PET/CT

2021 ◽  
Author(s):  
Lilang Lv ◽  
Bowen Xin ◽  
Yichao Hao ◽  
Ziyi Yang ◽  
Junyan Xu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Fdg Pet ◽  
Pearson Correlation ◽  
Stage Iv ◽  
Stage Iii ◽  
Rank Test ◽  
Cancer Center ◽  
Clinical Factors ◽  
Pet Ct ◽  
Fdg Pet Ct

Abstract Background To develop and validate a survival model with clinico-biological features and 18F- FDG PET/CT radiomic features via machine learning, and for predicting the prognosis from the primary tumor of colorectal cancer.Methods A total of 196 pathologically confirmed colorectal cancer patients (stage I to stage IV) were included. Preoperative clinical factors, serum tumor markers, and PET/CT radiomic features were included for the recurrence-free survival analysis. For the modeling and validation, patients were randomly divided into the training (n=137) and validation (n=59) set, while the 78 stage III patients [training (n=55), and validation (n=23)] was divided for the further experiment. After selecting features by the log-rank test and variable-hunting methods, random survival forest (RSF) models were built on the training set to analyze the prognostic value of selected features. The performance of models was measured by C-index and was tested on the validation set with bootstrapping. Feature importance and the Pearson correlation were also analyzed. Results Radiomics signature with four PET/CT features and four clinical factors achieved the best result for prognostic prediction of 196 patients (C-index 0.780, 95% CI 0.634 - 0.877). Moreover, four features (including two clinical features and two radiomics features) were selected in the 78 stage III patients (C-index was 0.820, 95% CI 0.676-0.900). K-M curves of both models significantly stratified low-risk and high-risk groups (P < 0.0001). Pearson correlation analysis demonstrated that selected radiomics features were correlated with tumor metabolic factors, such as SUVmean, SUVmax.Conclusion This study presents integrated clinico-biological-radiological models that can accurately predict the prognosis from the preoperative 18F-FDG PET/CT radiomics in colorectal cancer. It is of potential value in assisting the management and decision making for precision treatment in colorectal cancer.Trial registration The retrospectively registered study was approved by the Ethics Committee of Fudan University Shanghai Cancer Center (No. 1909207-14-1910) and the data were analyzed anonymously.

scholarly journals Prognostic Significance of Metabolic Parameters by 18F-FDG PET/CT in Thymic Epithelial Tumors

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 712
Author(s):  
Joohee Lee ◽  
Young Seok Cho ◽  
Jhingook Kim ◽  
Young Mog Shim ◽  
Kyung-Han Lee ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Fdg Pet ◽  
Univariate Analysis ◽  
Thymic Epithelial Tumors ◽  
Epithelial Tumors ◽  
Masaoka Stage ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

Background: Imaging tumor FDG avidity could complement prognostic implication in thymic epithelial tumors. We thus investigated the prognostic value of volume-based 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT parameters in thymic epithelial tumors with other clinical prognostic factors. Methods: This is a retrospective study that included 83 patients who were diagnosed with thymic epithelial tumors and underwent pretreatment 18F-FDG PET/CT. PET parameters, including maximum and average standardized uptake values (SUVmax, SUVavg), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), were measured with a threshold of SUV 2.5. Univariate and multivariate analysis of PET parameters and clinicopathologic variables for time-to-progression was performed by using a Cox proportional hazard regression model. Results: There were 21 low-risk thymomas (25.3%), 27 high-risk thymomas (32.5%), and 35 thymic carcinomas (42.2%). Recurrence or disease progression occurred in 24 patients (28.9%). On univariate analysis, Masaoka stage (p < 0.001); histologic types (p = 0.009); treatment modality (p = 0.001); and SUVmax, SUVavg, MTV, and TLG (all p < 0.001) were significant prognostic factors. SUVavg (p < 0.001) and Masaoka stage (p = 0.001) were independent prognostic factors on multivariate analysis. Conclusion: SUVavg and Masaoka stage are independent prognostic factors in thymic epithelial tumors.

scholarly journals Impact of [18F]FDG-PET and [18F]FLT-PET-Parameters in Patients with Suspected Relapse of Irradiated Lung Cancer

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 279
Author(s):  
Tine N. Christensen ◽  
Seppo W. Langer ◽  
Gitte Persson ◽  
Klaus Richter Larsen ◽  
Annemarie G. Amtoft ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Fdg Pet ◽  
Tumor Volume ◽  
High Dose ◽  
Flt Pet ◽  
Pet Ct ◽  
Radiation Induced ◽  
Fdg Pet Ct ◽  
Induced Changes

Radiation-induced changes may cause a non-malignant high 2-deoxy-2-[18F]fluoro-d-glucose (FDG)-uptake. The 3′-deoxy-3′-[18F]fluorothymidine (FLT)-PET/CT performs better in the differential diagnosis of inflammatory changes and lung lesions with a higher specificity than FDG-PET/CT. We investigated the association between post-radiotherapy FDG-PET-parameters, FLT-PET-parameters, and outcome. Sixty-one patients suspected for having a relapse after definitive radiotherapy for lung cancer were included. All the patients had FDG-PET/CT and FLT-PET/CT. FDG-PET- and FLT-PET-parameters were collected from within the irradiated high-dose volume (HDV) and from recurrent pulmonary lesions. For associations between PET-parameters and relapse status, respectively, the overall survival was analyzed. Thirty patients had a relapse, of these, 16 patients had a relapse within the HDV. FDG-SUVmax and FLT-SUVmax were higher in relapsed HDVs compared with non-relapsed HDVs (median FDG-SUVmax: 12.8 vs. 4.2; p < 0.001; median FLT-SUVmax 3.9 vs. 2.2; p < 0.001). A relapse within HDV had higher FDG-SUVpeak (median FDG-SUVpeak: 7.1 vs. 3.5; p = 0.014) and was larger (median metabolic tumor volume (MTV50%): 2.5 vs. 0.7; 0.014) than the relapsed lesions outside of HDV. The proliferative tumor volume (PTV50%) was prognostic for the overall survival (hazard ratio: 1.07 pr cm3 [1.01–1.13]; p = 0.014) in the univariate analysis, but not in the multivariate analysis. FDG-SUVmax and FLT-SUVmax may be helpful tools for differentiating the relapse from radiation-induced changes, however, they should not be used definitively for relapse detection.

Integrated18F-FDG PET/CT and Perfusion CT of Primary Colorectal Cancer: Effect of Inter- and Intraobserver Agreement on Metabolic-Vascular Parameters

2012 ◽  
Vol 199 (5) ◽  
pp. 1003-1009 ◽  
Author(s):  
Vicky Goh ◽  
Manu Shastry ◽  
Alec Engledow ◽  
Robert Kozarski ◽  
Jacqui Peck ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Fdg Pet ◽  
Perfusion Ct ◽  
Intraobserver Agreement ◽  
Primary Colorectal Cancer ◽  
Pet Ct ◽  
Fdg Pet Ct
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