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Bouron C, Mathie C, Seegers V, Morel O, Jézéquel P, Lasla H, Guillerminet C, Girault S, Lacombe M, Sher A, Lacoeuille F, Patsouris A, Testard A. Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [ 18F]FDG PET/CT in Early Triple-Negative Breast Cancer. Cancers (Basel) 2022; 14:cancers14030637. [PMID: 35158904 PMCID: PMC8833829 DOI: 10.3390/cancers14030637] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 01/22/2022] [Accepted: 01/23/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary The aim of this study was to evaluate PET/CT parameters to determine different prognostic groups in TNBC, in order to select patients with a high risk of relapse, for whom therapeutic escalation can be considered. We have demonstrated that the MTV, TLG and entropy of the primary breast lesion could be of interest to predict the prognostic outcome of TNBC patients. Abstract (1) Background: triple-negative breast cancer (TNBC) remains a clinical and therapeutic challenge primarily affecting young women with poor prognosis. TNBC is currently treated as a single entity but presents a very diverse profile in terms of prognosis and response to treatment. Positron emission tomography/computed tomography (PET/CT) with 18F-fluorodeoxyglucose ([18F]FDG) is gaining importance for the staging of breast cancers. TNBCs often show high [18F]FDG uptake and some studies have suggested a prognostic value for metabolic and volumetric parameters, but no study to our knowledge has examined textural features in TNBC. The objective of this study was to evaluate the association between metabolic, volumetric and textural parameters measured at the initial [18F]FDG PET/CT and disease-free survival (DFS) and overall survival (OS) in patients with nonmetastatic TBNC. (2) Methods: all consecutive nonmetastatic TNBC patients who underwent a [18F]FDG PET/CT examination upon diagnosis between 2012 and 2018 were retrospectively included. The metabolic and volumetric parameters (SUVmax, SUVmean, SUVpeak, MTV, and TLG) and the textural features (entropy, homogeneity, SRE, LRE, LGZE, and HGZE) of the primary tumor were collected. (3) Results: 111 patients were enrolled (median follow-up: 53.6 months). In the univariate analysis, high TLG, MTV and entropy values of the primary tumor were associated with lower DFS (p = 0.008, p = 0.006 and p = 0.025, respectively) and lower OS (p = 0.002, p = 0.001 and p = 0.046, respectively). The discriminating thresholds for two-year DFS were calculated as 7.5 for MTV, 55.8 for TLG and 2.6 for entropy. The discriminating thresholds for two-year OS were calculated as 9.3 for MTV, 57.4 for TLG and 2.67 for entropy. In the multivariate analysis, lymph node involvement in PET/CT was associated with lower DFS (p = 0.036), and the high MTV of the primary tumor was correlated with lower OS (p = 0.014). (4) Conclusions: textural features associated with metabolic and volumetric parameters of baseline [18F]FDG PET/CT have a prognostic value for identifying high-relapse-risk groups in early TNBC patients.
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Affiliation(s)
- Clément Bouron
- Department of Nuclear Medicine, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (O.M.); (C.G.); (S.G.); (M.L.); (A.S.); (A.T.)
- Department of Nuclear Medicine, University Hospital of Angers, 4 rue Larrey, 49100 Angers, France;
- Correspondence:
| | - Clara Mathie
- Department of Medical Oncology, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (C.M.); (A.P.)
| | - Valérie Seegers
- Research and Statistics Department, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France;
| | - Olivier Morel
- Department of Nuclear Medicine, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (O.M.); (C.G.); (S.G.); (M.L.); (A.S.); (A.T.)
| | - Pascal Jézéquel
- Omics Data Science Unit, ICO Pays de la Loire, Bd Jacques Monod, CEDEX, 44805 Saint-Herblain, France; (P.J.); (H.L.)
- CRCINA, UMR 1232 INSERM, Université de Nantes, Université d’Angers, Institut de Recherche en Santé, 8 Quai Moncousu—BP 70721, CEDEX 1, 44007 Nantes, France
| | - Hamza Lasla
- Omics Data Science Unit, ICO Pays de la Loire, Bd Jacques Monod, CEDEX, 44805 Saint-Herblain, France; (P.J.); (H.L.)
| | - Camille Guillerminet
- Department of Nuclear Medicine, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (O.M.); (C.G.); (S.G.); (M.L.); (A.S.); (A.T.)
- Department of Medical Physics, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France
| | - Sylvie Girault
- Department of Nuclear Medicine, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (O.M.); (C.G.); (S.G.); (M.L.); (A.S.); (A.T.)
| | - Marie Lacombe
- Department of Nuclear Medicine, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (O.M.); (C.G.); (S.G.); (M.L.); (A.S.); (A.T.)
| | - Avigaelle Sher
- Department of Nuclear Medicine, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (O.M.); (C.G.); (S.G.); (M.L.); (A.S.); (A.T.)
| | - Franck Lacoeuille
- Department of Nuclear Medicine, University Hospital of Angers, 4 rue Larrey, 49100 Angers, France;
- CRCINA, University of Nantes and Angers, INSERM UMR1232 équipe 17, 49055 Angers, France
| | - Anne Patsouris
- Department of Medical Oncology, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (C.M.); (A.P.)
- INSERM UMR1232 équipe 12, 49055 Angers, France
| | - Aude Testard
- Department of Nuclear Medicine, ICO Pays de la Loire, 15 rue André Boquel, 49055 Angers, France; (O.M.); (C.G.); (S.G.); (M.L.); (A.S.); (A.T.)
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Fathinul Fikri AS, Chong EY, Syafrina AH. The utility of the standardized uptake value, metabolic tumor volume and total lesion glycolysis as predictive markers of recurrent breast cancer. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00624-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Breast cancer is the second leading cancer killer of women globally. An early measure utilizing a noninvasive molecular marker for predicting cancer aggressiveness is important to better manage the patient and to avert early disease progression. We aimed to determine whether metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are able to predict risk in high TNM tumor staging and the need for the appropriate treatment in breast cancer patients. This is a retrospective study of confirmed breast cancer patients who underwent neoadjuvant, local and adjuvant treatment and follow-up. The 18F-FDG PET/CT study for initial staging was performed, and metabolic parameters (MTV, TLG, SUVmax mean) were analyzed. Spearman correlation was used to assess correlations between metabolic parameters and clinicopathological factors with TNM staging and treatment intention. SUVmean, wbMTV and wbTLG were analyzed to predict the dichotomization of patient endpoint for low (stage I and II) and high (stage III and IV) TNM stage.
Results
Twenty-six patients (4 low stage, 22 high stage) with a mean age of 51.8 ± 11.8 years with confirmed breast cancer underwent 18FFDG PET/CT. The MTV and TLG parameters in the tumor (T) were significantly correlated with the TNM stage (P < 0.050); the SUVmax mean (4.18 ± 1.68 g/dl), wbMTV mean (404.68 ± 558.02 cm3) and wbTLG (1756.55 ± 2432.11 g) differed significantly in the high versus low TNM staging with the best predictive cut-off value of SUVmax mean (3.55 g/ml, p < 0.05), wbMTV (20 cm3, p < 0.05) and wbTLG (130 g, p < 0.05) when these values were exceeded. Only wbTLG (130 g, p < 0.05) showed significance difference in treatment intention.
Conclusions
In this study, the metabolic parameters SUVmax mean, MTV and TLG showed potential good relationships with TNM staging. TLG was the only marker that influenced the treatment intention in predicting breast cancer aggressiveness.
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Li Y, Liu C, Wang B, Hu X, Gong C, Zhao Y, Xie Y, Zhang Y, Song S, Yang Z, Wang B. Prediction of Pretreatment 18F-FDG-PET/CT Parameters on the Outcome of First-Line Therapy in Patients with Metastatic Breast Cancer. Int J Gen Med 2021; 14:1797-1809. [PMID: 34007206 PMCID: PMC8123971 DOI: 10.2147/ijgm.s293998] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 04/22/2021] [Indexed: 12/24/2022] Open
Abstract
Objective 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) can provide prognostic information, especially 18F-FDG uptake has been proven to be a predictor for the prognosis of various tumors. Nevertheless, the prognosis of other PET parameters in the metastatic setting remains unclear. This study was aimed at investigating pretreatment parameters based on 18F-FDG-PET/CT so as to estimate the progression-free survival (PFS) of metastatic breast cancer (MBC) patients receiving first-line treatment. Methods MBC patients who underwent a whole-body 18F-FDG-PET/CT prior to first-line therapy were enrolled. The heterogeneity parameter of PET/CT was analyzed, including heterogeneity index (HI) and general parameters (metabolic tumor volume (MTV), total lesion glycolysis (TLG), maximum standardized uptake value (SUVmax) and mean SUV (SUVmean). PFS was used to evaluate the treatment outcome. Kaplan-Meier method was adopted to carry out survival analysis and Log rank test was conducted to make a comparison. Results A total of 177 MBC patients were selected, in which 68 were in De novo stage IV. Thirty patients were human epidermal growth factor receptor 2 (HER2)-positive, 60 patients were triple-negative, and 87 patients were hormone receptor (HR)-positive and HER2-negative. In the whole population, patients with high baseline SUVmax, SUVmean, MTV, TLG or HI were associated with lower PFS (P=0.028, 0.005, 0.017, 0.026 and 0.035, respectively). Among the patients in De novo stage IV, those with high HI at baseline had significantly shorter PFS (P=0.001). In HR+/HER2- and HER2+ subgroups, only baseline HI showed the predictive value of PFS (P=0.023 and 0.049, respectively). In the triple-negative subgroup, high baseline SUVmax, MTV or TLG showed the predictive value of worse PFS (P=0.030, 0.011 and 0.023, respectively). Conclusion Pretreatment 18F-FDG-PET/CT parameters show the predictive value of PFS in MBC patients receiving first-line treatment. However, predictive PET/CT parameters might be different in patients with different molecular subtypes and De novo stage IV.
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Affiliation(s)
- Yi Li
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Cheng Liu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Center for Biomedical Imaging, Fudan University, Shanghai, People's Republic of China.,Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, People's Republic of China.,Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Shanghai, People's Republic of China
| | - Bibo Wang
- Orthopaedic Department, Shanghai Ruijin Hospital, Shanghai Jiaotong University Medicine School, Shanghai, People's Republic of China
| | - Xichun Hu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Chengcheng Gong
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yannan Zhao
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yizhao Xie
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yingjian Zhang
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Center for Biomedical Imaging, Fudan University, Shanghai, People's Republic of China.,Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, People's Republic of China.,Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Shanghai, People's Republic of China
| | - Shaoli Song
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Center for Biomedical Imaging, Fudan University, Shanghai, People's Republic of China.,Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, People's Republic of China.,Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Shanghai, People's Republic of China
| | - Zhongyi Yang
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Center for Biomedical Imaging, Fudan University, Shanghai, People's Republic of China.,Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, People's Republic of China.,Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Shanghai, People's Republic of China
| | - Biyun Wang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
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Seban RD, Rouzier R, Latouche A, Deleval N, Guinebretiere JM, Buvat I, Bidard FC, Champion L. Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer. Eur J Nucl Med Mol Imaging 2021; 48:3560-3570. [PMID: 33774685 DOI: 10.1007/s00259-021-05322-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 03/16/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE We evaluated whether biomarkers on baseline [18F]-FDG PET/CT are associated with recurrence after surgery in patients with invasive breast cancer of no special type (NST). METHODS In this retrospective single-center study, we included consecutive patients with non-metastatic breast cancer of NST who underwent [18F]-FDG PET/CT before treatment, including surgery, between 2011 and 2016. Clinicopathological data were collected. Tumor SUVmax, total metabolic tumor volume (TMTV), and spleen- and bone marrow-to-liver SUVmax ratios (SLR, BLR) were measured from the PET images. Cut-off values were determined using predictiveness curves to predict 5-year recurrence-free survival (5y-RFS). A multivariable prediction model was developed using Cox regression. The association with stromal tumor-infiltrating lymphocytes (TILs) levels (low if <50%) was studied by logistic regression. RESULTS Three hundred and three women were eligible, including 93 (31%) with triple-negative breast carcinoma. After a median follow-up of 6.2 years, 56 and 35 patients experienced recurrence and death, respectively. The 5y-RFS rate was 86%. In multivariable analyses, high TMTV (>20 cm3) and high SLR (>0.76) were associated with shorter 5y-RFS (HR 2.4, 95%CI 1.3-4.5, and HR 1.9, 95%CI 1.0-3.6). In logistic regression, high SLR was the only independent factor associated with low stromal TILs (OR 2.8, 95%CI 1.4-5.7). CONCLUSION High total metabolic tumor volume and high spleen glucose metabolism on baseline [18F]-FDG PET/CT were associated with poor 5y-RFS after surgical resection in patients with breast cancer of NST. Spleen metabolism was inversely correlated with stromal TILs and might be a surrogate for an immunosuppressive tumor microenvironment.
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Affiliation(s)
- Romain-David Seban
- Department of Nuclear Medicine, Institut Curie, 92210, Saint-Cloud, France. .,Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm U1288, PSL Research University, Institut Curie, 91400, Orsay, France.
| | - Roman Rouzier
- Department of Surgery, Institut Curie, PSL Research University, 75005 Paris &, 92210, Saint-Cloud, France
| | - Aurelien Latouche
- Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, 75005, Paris, France.,Conservatoire national des arts et métiers, Paris, France
| | - Nicolas Deleval
- Department of Nuclear Medicine, Institut Curie, 92210, Saint-Cloud, France
| | | | - Irene Buvat
- Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm U1288, PSL Research University, Institut Curie, 91400, Orsay, France
| | - Francois-Clement Bidard
- Department of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris &, 92210, Saint-Cloud, France.,Circulating Tumor Biomarkers Laboratory, SiRIC, Institut Curie, PSL Research University, Paris, France
| | - Laurence Champion
- Department of Nuclear Medicine, Institut Curie, 92210, Saint-Cloud, France.,Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm U1288, PSL Research University, Institut Curie, 91400, Orsay, France
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5
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Qu YH, Long N, Ran C, Sun J. The correlation of 18F-FDG PET/CT metabolic parameters, clinicopathological factors, and prognosis in breast cancer. Clin Transl Oncol 2020; 23:620-627. [PMID: 32683540 DOI: 10.1007/s12094-020-02457-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 07/09/2020] [Indexed: 12/24/2022]
Abstract
PURPOSE To study the imaging parameters of 18F-fluorodeoxy glucose (18F-FDG) in breast cancer on positron emission tomography/computed tomography (PET/CT)-the correlation of clinical pathological factors and prognosis among the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of lesions for patients. METHODS From January 2012 to December 2014, a total of 125 female patients were treated in our hospital for the first time and were diagnosed as breast cancer by histopathology. They were selected as the research subjects. All of them had complete 18F-FDG PET/CT examination data before surgery, the postoperative clinicopathological information, and follow-up data. They were divided into the event group (38 cases) and the event-free group (87 cases) according to whether local recurrence or distant metastasis occurred after the follow-up, with the follow-up time 4-60 months. The correlation on 18F-FDG PET/CT metabolic parameters of breast cancer with clinicopathological factors and prognosis was retrospectively evaluated. RESULTS The primary lesions of 125 cases with breast cancers all had higher 18F-FDG uptake, and the SUVmax, MTV, and TLG of the primary tumors in the event group were significantly higher than those in the event-free group (t = 2.645, 2.782, 15.263, p = 0.011, 0.008, 0.000), p < 0.05; SUVmax, MTV, and TLG of primary breast cancer have no correlation with age and tumor site of patient (p > 0.05); there were statistically significant differences in the SUVmax, MTV, and TLG of primary tumor in the comparison of different tumor size, T stage, N stage, and histological grades (p < 0.05); all of SUVmax, MTV, and TLG in the estrogen receptor (ER) and/or progesterone receptor (PR) positive groups were lower than those in the negative group, with statistically significant difference (p < 0.05); the SUVmax, MTV, and TLG of human epidermal growth factor receptor 2 (HER2) positive group, proliferating cell nuclear antigen (Ki-67) high expression group were higher than those in the negative group and low expression group, with statistically significant difference (p < 0.05). There were 38 recurrence and metastasis cases within 125 cases with breast cancer in 5 years after operation, with the total recurrence and metastasis rate as 30.40% (38/125). The event-free survival rate in the SUVmax ≥ 8.64 group was significantly lower than that in the SUVmax < 8.64 group (p < 0.01). CONCLUSIONS The metabolic parameters of 18F-FDG PET/CT in breast cancer can reflect the biological behavior of the tumor indirectly; therefore, it was studied on the related correlation to provide the guidance of clinical individualized comprehensive treatment and prognostic judgment.
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Affiliation(s)
- Y-H Qu
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - N Long
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - C Ran
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - J Sun
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China.
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