21 results on '"Cochet, Alexandre"'
Search Results
2. Biological correlates of tumor perfusion and its heterogeneity in newly diagnosed breast cancer using dynamic first-pass 18F-FDG PET/CT
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Payan, Neree, Presles, Benoit, Brunotte, François, Coutant, Charles, Desmoulins, Isabelle, Vrigneaud, Jean-Marc, and Cochet, Alexandre
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- 2020
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3. Dual time point [18F]FLT-PET for differentiating proliferating tissues vs non-proliferating tissues
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Lovinfosse, Pierre, Rousseau, Caroline, Pierga, Jean-Yves, Bouchet, Francis, Cochet, Alexandre, Alberini, Jean-Louis, Girault, Sylvie, Vera, Pierre, Olivier, Pierre, Uwer, Lionel, Cachin, Florent, Scarwell, Benoit, Lemonnier, Jérome, Fourme, Emmanuelle, Mesleard, Christel, Martin, Anne-Laure, Lacœuille, Franck, and Couturier, Olivier-François
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- 2019
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4. Performance of [18F]FDG-PET/CT Imaging in First Recurrence of Invasive Lobular Carcinoma.
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Bonnin, David, Ladoire, Sylvain, Briot, Nathalie, Bertaut, Aurélie, Drouet, Clément, Cochet, Alexandre, and Alberini, Jean-Louis
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LOBULAR carcinoma ,PROGNOSIS ,TUMOR markers ,COMPUTED tomography ,LOG-rank test ,SURVIVAL rate - Abstract
Background: Invasive lobular carcinoma accounts for 10 to 15% of all breast cancers. The first objective of this retrospective study was to assess the diagnostic performance of FDG-PET/CT scanning in women previously treated for invasive lobular carcinoma with suspected first recurrence. The secondary objectives were to evaluate the impact of PET/CT in a change in treatment and its prognostic value on specific survival. Methods: Patients in whom a PET/CT scan was performed from January 2011 to July 2019 in our Cancer Research Center were enrolled. Recurrence was suspected based on clinical symptoms, abnormal findings on conventional imaging, and/or elevated tumor markers. The diagnosis of recurrence was established by the oncologist after integration of all clinical, biological, histological, imaging, and follow-up data. Prognostic factors of recurrence as predicted by PET were determined using univariate logistic regression. KI67, mitotic index, or grade of mitosis were tested. Survival curves were compared using the log-rank test. Sixty-four patients (mean age: 60.3; SD = 12.4 years) were enrolled. The average time from initial diagnosis of the primary tumor to suspicion of recurrence was 5.2 ± 4.1 years. Forty-eight patients (75%) were judged to have recurrence by the oncologist: 7 local and 41 metastatic, with mainly bone (n = 24), lymph node (n = 14) and liver (n = 10) metastases. Results: Sensitivity, specificity, and positive and negative predictive values of PET/CT to predict recurrence were, respectively: 87%, 87%, 95%, and 70%. SUVmax at recurrence sites was generally high (mean: 6.4; SD = 2.9). False negative PET/CT results occurred with local (n = 2), peritoneal (n = 2), meningeal (n = 1), or bladder (n = 1) recurrences. In 40 patients with available histopathological data from suspected sites of recurrence, 30 PET/CT were true positive. In four patients, primary lung (n = 1) or gastric (n = 1) tumors or lymphomas (n = 2) were found. The detection of a recurrence resulted in a change in treatment in 44/48 patients (92%). No association between recurrence predicted by PET and biological biomarkers was found. Median specific survival appears shorter in patients with metastatic recurrence versus patients with local or no recurrence on PET/CT (p = 0.067). Conclusions: FDG-PET/CT is an effective and reliable tool for the detection of invasive lobular carcinoma recurrence, although certain recurrence sites specific to this histological type can impair its diagnostic performance. [ABSTRACT FROM AUTHOR]
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- 2023
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5. HER2-positive breast cancer: 18F-FDG PET for early prediction of response to trastuzumab plus taxane-based neoadjuvant chemotherapy
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Humbert, Olivier, Cochet, Alexandre, Riedinger, Jean-Marc, Berriolo-Riedinger, Alina, Arnould, Laurent, Coudert, Bruno, Desmoulins, Isabelle, Toubeau, Michel, Dygai-Cochet, Inna, Guiu, Séverine, Coutant, Charles, Fumoleau, Pierre, and Brunotte, François
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- 2014
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6. 18F-FDG PET/CT provides powerful prognostic stratification in the primary staging of large breast cancer when compared with conventional explorations
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Cochet, Alexandre, Dygai-Cochet, Inna, Riedinger, Jean-Marc, Humbert, Olivier, Berriolo-Riedinger, Alina, Toubeau, Michel, Guiu, Séverine, Coutant, Charles, Coudert, Bruno, Fumoleau, Pierre, and Brunotte, François
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- 2014
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7. Prognostic relevance at 5 years of the early monitoring of neoadjuvant chemotherapy using 18F-FDG PET in luminal HER2-negative breast cancer
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Humbert, Olivier, Berriolo-Riedinger, Alina, Cochet, Alexandre, Gauthier, Mélanie, Charon-Barra, Céline, Guiu, Séverine, Desmoulins, Isabelle, Toubeau, Michel, Dygai-Cochet, Inna, Coutant, Charles, Fumoleau, Pierre, and Brunotte, François
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- 2014
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8. Critical analysis of the effect of various methodologies to compute breast cancer tumour blood flow-based texture features using first-pass 18F-FDG PET.
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Payan, Neree, Presles, Benoit, Truntzer, Caroline, Courcet, Emilie, Coutant, Charles, Desmoulins, Isabelle, Brunotte, François, Vrigneaud, Jean-Marc, and Cochet, Alexandre
- Abstract
Assessment of tumour blood flow (BF) heterogeneity using first-pass FDG PET/CT and textural feature (TF) analysis is an innovative concept. We aim to explore the relationship between BF heterogeneity measured with different TFs calculation methods and the response to neoadjuvant chemotherapy (NAC) in patients with newly diagnosed breast cancer (BC). One hundred and twenty-five patients were enrolled. Dynamic first-pass and delayed FDG PET/CT scans were performed before NAC. Nine TFs were calculated from perfusion and metabolic PET images using relative (RR) or absolute (AR) rescaling strategies with two textural matrix calculation methods. Patients were classified according to presence or absence of a pathologic complete response (pCR) after NAC. The relationship between BF texture features and conventional features were analysed using spearman correlations. The TFs' differences between pCR and non-pCR groups were evaluated using Mann–Whitney tests and descriptive factorial discriminant analysis (FDA). Relation between tumour BF-based TFs and global BF parameters were globally similar to those observed for tumour metabolism. None of the TFs was significantly different between pCR and non-pCR groups in the Mann–Whitney analysis, after Benjamini–Hochberg correction. Using a RR led to better discriminations between responders and non-responders in the FDA analysis. The best results were obtained by combining all the PET features, including BF ones. A better differentiation of patients reaching a pCR was observed using a RR. Moreover, BF heterogeneity might bring a useful information when combined with metabolic PET parameters to predict the pCR after neoadjuvant chemotherapy. • BF-based texture feature values are impacted by the feature computation methodology. • A relative rescaling led to better differentiation between pCR and non-pCR. • No global BF or metabolic parameter was significantly different between patients. • BF and metabolic parameters combined led to the best patient differentiation. [ABSTRACT FROM AUTHOR]
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- 2022
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9. Baseline diastolic dysfunction as a predictive factor of trastuzumab-mediated cardiotoxicity after adjuvant anthracycline therapy in breast cancer
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Cochet, Alexandre, Quilichini, Gaetan, Dygai-Cochet, Inna, Touzery, Claude, Toubeau, Michel, Berriolo-Riedinger, Alina, Coudert, Bruno, Cottin, Yves, Fumoleau, Pierre, and Brunotte, François
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- 2011
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10. [18F]FDG-PET predicts complete pathological response of breast cancer to neoadjuvant chemotherapy
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Berriolo-Riedinger, Alina, Touzery, Claude, Riedinger, Jean-Marc, Toubeau, Michel, Coudert, Bruno, Arnould, Laurent, Boichot, Christophe, Cochet, Alexandre, Fumoleau, Pierre, and Brunotte, François
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- 2007
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11. FDG PET/CT for prognostic stratification of patients with metastatic breast cancer treated with first line systemic therapy: Comparison of EORTC criteria and PERCIST.
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Depardon, Edouard, Kanoun, Salim, Humbert, Olivier, Bertaut, Aurélie, Riedinger, Jean-Marc, Tal, Ilan, Vrigneaud, Jean-Marc, Lasserre, Maud, Toubeau, Michel, Berriolo-Riedinger, Alina, Dygai-Cochet, Inna, Fumoleau, Pierre, Brunotte, François, and Cochet, Alexandre
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BREAST cancer ,METASTATIC breast cancer ,MAGNETIC resonance imaging ,COMPUTED tomography ,CANCER chemotherapy - Abstract
Aim: Evaluate response and predict prognosis of patients with newly diagnosed metastatic breast cancer treated with first line systemic therapy using European Organization for Research and Treatment of Cancer (EORTC) criteria and PET Response Criteria in solid Tumours (PERCIST). Methods: From December 2006 to August 2013, 57 women with newly diagnosed metastatic breast cancer were retrospectively evaluated. FDG-PET/CT was performed within one month before treatment and repeated after at least 3 cycles of treatment. Metabolic response evaluation was evaluated by two readers according to both EORTC criteria and PERCIST, classifying the patients into 4 response groups: complete metabolic response (CMR), partial metabolic response (PMR), stable metabolic disease (SMD), and progressive metabolic disease (PMD). Results: With EORTC criteria, 22 patients had CMR, 17 PMR, 6 SMD and 12 PMD. With PERCIST, 20 patients had CMR, 15 PMR, 10 SMD and 12 PMD. There was agreement between EORTC and PERCIST in 84% of the patients. By log-rank analysis, metabolic response evaluated with both EORTC criteria and PERCIST was able to predict overall survival (p = 0.028 and 0.002 respectively). CMR patient group had longer median OS than patients in the combined PMR+SMD+PMD group (60 vs 26 months both with EORTC and PERCIST; p = 0.009 and 0.006 respectively). By multivariate analysis, CMR either with EORTC or PERCIST remained an independent predictor of survival. Conclusion: Metabolic response evaluation with EORTC criteria and PERCIST gave similar prognostic stratification for metastatic breast cancer treated with a first line of systemic therapy. [ABSTRACT FROM AUTHOR]
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- 2018
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12. HER2-positive breast cancer: F-FDG PET for early prediction of response to trastuzumab plus taxane-based neoadjuvant chemotherapy.
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Humbert, Olivier, Cochet, Alexandre, Riedinger, Jean-Marc, Berriolo-Riedinger, Alina, Arnould, Laurent, Coudert, Bruno, Desmoulins, Isabelle, Toubeau, Michel, Dygai-Cochet, Inna, Guiu, Séverine, Coutant, Charles, Fumoleau, Pierre, and Brunotte, François
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MAMMOGRAMS ,BREAST surgery ,TUMORS ,CANCER chemotherapy ,BREAST cancer patients - Abstract
Purpose: To investigate the value of F-fluorodeoxyglucose positron emission tomography (F-FDG PET/CT) to predict a pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in women with human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Material and methods: Fifty-seven consecutive women with HER2-positive breast cancer, treated with trastuzumab plus taxane-based NAC, were prospectively included. Maximum Standardized Uptake Value of the primary tumor and axillary nodes were measured at baseline (PET.SUV) and after the first course of NAC (PET.SUV). Tumor metabolic volumes were assessed to determine Total Lesion Glycolysis (TLG). The tumor metabolic response (ΔSUV and ΔTLG) was calculated. Results: In univariate analysis, negative hormonal receptor status ( p = 0.04), high tumor grade ( p = 0.03), and low tumor PET.SUV ( p = 0.001) were predictive of pCR. Tumor ΔSUV correlated with pCR ( p = 0.03), provided that tumors with low metabolic activity at baseline were excluded. ΔTLG did not correlate with pCR. In multivariate analysis, tumor PET.SUV < 2.1 was the best independent predictive factor (Odds ratio =14.3; p = 0.004) with both negative and positive predictive values of 76 %. Although the metabolic features of the primary tumor did not depend on hormonal receptor status, both the baseline metabolism and early response of axillary nodes were higher if estrogen receptors were not expressed ( p = 0.01 and p = 0.03, respectively). Conclusion: In HER2-positive breast cancer, very low tumor residual metabolism after the first cycle of NAC (SUV < 2.1) was the main predictor of pCR. These results should be further explored in multicenter studies and incorporated into the design of clinical trials. [ABSTRACT FROM AUTHOR]
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- 2014
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13. F-FDG PET/CT provides powerful prognostic stratification in the primary staging of large breast cancer when compared with conventional explorations.
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Cochet, Alexandre, Dygai-Cochet, Inna, Riedinger, Jean-Marc, Humbert, Olivier, Berriolo-Riedinger, Alina, Toubeau, Michel, Guiu, Séverine, Coutant, Charles, Coudert, Bruno, Fumoleau, Pierre, and Brunotte, François
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POSITRON emission tomography , *CANCER prognosis , *BREAST cancer diagnosis , *MAMMOGRAMS , *X-rays - Abstract
Purpose: The objective of this study was to assess the impact on management and the prognostic value of F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT for initial staging of newly diagnosed large breast cancer (BC) when compared with conventional staging. Methods: We prospectively included 142 patients with newly diagnosed BC and at least grade T2 tumour. All patients were evaluated with complete conventional imaging (CI) procedures (mammogram and/or breast ultrasound, bone scan, abdominal ultrasound and/or CT, X-rays and/or CT of the chest), followed by FDG PET/CT exploration, prior to treatment. The treatment plan based on CI staging was compared with that based on PET/CT findings. CI and PET/CT findings were confirmed by imaging and clinical follow-up and/or pathology when assessable. Progression-free survival (PFS) was analysed using the Cox proportional hazards regression model. Results: According to CI staging, 79 patients (56 %) were stage II, 46 (32 %) stage III and 17 (12 %) stage IV (distant metastases). Of the patients, 30 (21 %) were upstaged by PET/CT, including 12 (8 %) from stage II or III to stage IV. On the other hand, 23 patients (16 %) were downstaged by PET/CT, including 4 (3 %) from stage IV to stage II or III. PET/CT had a high or medium impact on management planning for 18 patients (13 %). Median follow-up was 30 months (range 9-59 months); 37 patients (26 %) experienced recurrence or progression of disease during follow-up and 17 patients (12 %) died. The Cox model indicated that CI staging was significantly associated with PFS ( p = 0.01), but PET/CT staging provided stronger prognostic stratification ( p < 0.0001). Moreover, Cox regression multivariate analysis showed that only PET/CT staging remained associated with PFS ( p < 0.0001). Conclusion: FDG PET/CT provides staging information that more accurately stratifies prognostic risk in newly diagnosed large BC when compared with conventional explorations alone. [ABSTRACT FROM AUTHOR]
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- 2014
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14. Prognostic relevance at 5 years of the early monitoring of neoadjuvant chemotherapy using F-FDG PET in luminal HER2-negative breast cancer.
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Humbert, Olivier, Berriolo-Riedinger, Alina, Cochet, Alexandre, Gauthier, Mélanie, Charon-Barra, Céline, Guiu, Séverine, Desmoulins, Isabelle, Toubeau, Michel, Dygai-Cochet, Inna, Coutant, Charles, Fumoleau, Pierre, and Brunotte, François
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HER2 protein ,BREAST cancer patients ,CANCER chemotherapy ,GLUCOSE metabolism disorders ,POSITRON emission tomography ,PREVENTION - Abstract
Purpose: The objective of this study was to evaluate, in the luminal human epidermal growth factor receptor 2 (HER2)-negative breast cancer subtype, the prognostic value of tumour glucose metabolism at baseline and of its early changes during neoadjuvant chemotherapy (NAC). Methods: This prospective study included 61 women with hormone-sensitive HER2-negative breast cancer treated with NAC. F-Fluorodeoxyglucose (FDG) positron emission tomography (PET) was performed at baseline. Hepatic activity was used as a reference to distinguish between low metabolic and hypermetabolic tumours. In hypermetabolic tumours, a PET exam was repeated after the first course of NAC. The relative change in the maximum standardized uptake value of the tumour (∆SUV) was calculated. Results: Nineteen women had low metabolic luminal breast cancers at baseline, correlated with low proliferation indexes. Forty-two women had hypermetabolic tumours, corresponding to more proliferative breast cancers with higher Ki-67 expression ( p = 0.017) and higher grade ( p = 0.04). The median follow-up period was 64.2 months (range 11.5-93.2). Thirteen women developed recurrent disease, nine of whom died. Worse overall survival was associated with larger tumour size [>5 cm, hazard ratio (HR) = 6.52, p = 0.009] and with hypermetabolic tumours achieving a low metabolic response after one cycle of NAC (ΔSUV < 16 %, HR = 10.63, p = 0.004). Five-year overall survival in these poor responder patients was 49.2 %. Overall survival in women with low metabolic tumours or hypermetabolic/good response tumours was 100 and 96.15 %, respectively. Conclusion: In luminal HER2-negative breast tumours, tumour metabolism at baseline and changes after the first course of NAC are early surrogate markers of patients' survival. A subgroup of women with hypermetabolic/poorly responding tumours, correlated with poor prognosis at 5 years, can be identified early. These results may guide future studies by tailoring the NAC regimen to the metabolic response. [ABSTRACT FROM AUTHOR]
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- 2014
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15. [18F]FDG-PET predicts complete pathological response of breast cancer to neoadjuvant chemotherapy.
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Berriolo-Riedinger, Alina, Touzery, Claude, Riedinger, Jean-Marc, Toubeau, Michel, Coudert, Bruno, Arnould, Laurent, Boichot, Christophe, Cochet, Alexandre, Fumoleau, Pierre, and Brunotte, François
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THERAPEUTICS ,DRUG therapy ,BREAST cancer patients ,TUMORS ,REGRESSION analysis - Abstract
To evaluate, in breast cancer patients treated by neoadjuvant chemotherapy, the predictive value of reduction in FDG uptake with regard to complete pathological response (pCR). Forty-seven women with non-metastatic, non-inflammatory, large or locally advanced breast cancer were included. Tumour uptake of FDG was evaluated before and after the first course of neoadjuvant chemotherapy. Four indices were used: maximal and average SUV without or with correction by body surface area and glycaemia (SUV
max , SUVavg , SUVmax-BSA-G and SUVavg-BSA-G , respectively). The predictive value of reduction in FDG uptake with respect to pCR was studied by logistic regression analysis. Relationships between baseline [18 F]FDG uptake and prognostic parameters were assessed. The relative decrease in FDG uptake (ΔSUV) after the first course of neoadjuvant chemotherapy was significantly greater in the pCR group than in the non-pCR group ( p < 0.000066). The four FDG uptake indices were all strongly correlated with each other. A decrease in SUVmax-BSA-G of 85.4% ± 21.9% was found in pCR patients, versus 22.6% ± 36.6% in non-pCR patients. ΔSUVmax-BSA-G <−60% predicted the pCR with an accuracy of 87% and ΔSUVs were found to be only factors predictive of the pCR at multivariate analysis. An elevated baseline SUV was associated with high mitotic activity ( p < 0.0016), tumour grading ( p < 0.004), high nuclear pleomorphism score ( p < 0.03) and negative hormonal receptor status ( p < 0.005). In breast cancer patients, after only one course of neoadjuvant chemotherapy the reduction in FDG uptake is an early and powerful predictor of pCR. [ABSTRACT FROM AUTHOR]- Published
- 2007
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16. Combination of breast imaging parameters obtained from 18F-FDG PET and CT scan can improve the prediction of breast-conserving surgery after neoadjuvant chemotherapy in luminal/HER2-negative breast cancer.
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Grapin, Mathieu, Coutant, Charles, Riedinger, Jean-Marc, Ladoire, Sylvain, Brunotte, François, Cochet, Alexandre, and Humbert, Olivier
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LUMPECTOMY , *CANCER chemotherapy , *EPIDERMAL growth factor receptors , *BREAST imaging , *DIGITAL mammography , *MAMMARY gland tumors - Abstract
Introduction: The luminal/Human Epidermal growth factor Receptor 2 (HER2) negative subtype of breast cancer has low chemo-sensitivity. When neoadjuvant chemotherapy (NAC) is indicated in this subtype, before a possible breast-conserving surgery (BCS), it is more reasonable to target tumor shrinkage than complete pathological tumor response. We aimed to identify breast and tumor 18Fluoro-deoxy-glucose (18F-FDG) PET-CT scan imaging features for the early prediction of BCS after NAC in luminal/HER2 negative subtypes of breast cancer.Material and Methods: Seventy-seven consecutive women with luminal/HER2-negative breast cancer for whom BCS was initially not feasible and NAC was prescribed, to decrease tumor size before surgery, were included retrospectively. An 18F-FDG PET-CT scan exam was performed before and after the first course of NAC.Results: After NAC, 36% (28/77) of women had a mastectomy and 64% (49/77) underwent BCS. Patients with a mastectomy had lower total breast volume (BVtotal) (p = 0.002), lower decrease in Δmetabolic tumor volume (ΔMTV) (p = 0.03) and lower SUVmax2 (p = 0.05). Using ROC Curve analyses to define the optimal predictive threshold of BVtotal (496 cm3) and ΔMTV (-17.1%), 3 subgroups of women with different odds of BCS after treatment were identified (p = 0.001): low, medium and high probability groups (respectively 29%, 62% and 82%).Conclusions: For patients with Luminal/HER2 negative breast cancer, the combination of the imaging features of the tumor and the mammary gland, obtained with 18F-FDG PET-CT at baseline and after the first cycle of NAC, may allow the physician to evaluate the probability of BCS. [ABSTRACT FROM AUTHOR]- Published
- 2019
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17. Factor analysis-based approach for early uptake automatic quantification of breast cancer by 18F-FDG PET images sequence
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Ahmed Ben Hamida, Khalil Chtourou, Frédéric Morain-Nicolier, Lamia Sallemi, Ines Ketata, Alexandre Cochet, Mohamed Ben Slima, Su Ruan, Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Université de Sfax - University of Sfax, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Equipe Quantification en Imagerie Fonctionnelle (QuantIF-LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Normandie Université (NU), Advanced Technologies for Medicine and Signals [Sfax] ( ATMS - UR11ES79 ), Université de Sfax-École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax ( ENIS ), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 ( CRESTIC ), Université de Reims Champagne-Ardenne ( URCA ), Université de Sfax, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes ( LITIS ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ) -Université de Rouen Normandie ( UNIROUEN ), Normandie Université ( NU ) -Institut national des sciences appliquées Rouen Normandie ( INSA Rouen Normandie ), Normandie Université ( NU ), Equipe Quantification en Imagerie Fonctionnelle ( QuantIF-LITIS ), Normandie Université ( NU ) -Université Le Havre Normandie ( ULH ), LETI Laboratory SFAX ( ATMS/LETI ), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax ( ENIS ), Cochet, Alexandre, Advanced Technologies for Medicine and Signals [Sfax] (ATMS - UR11ES79), Université de Sfax - University of Sfax-École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'électronique et des technologies de l'Information [Sfax] (LETI), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), and Breton, Céline
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Health Informatics ,Standardized uptake value ,[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,030218 nuclear medicine & medical imaging ,18f fdg pet ,03 medical and health sciences ,symbols.namesake ,0302 clinical medicine ,Breast cancer ,medicine ,ComputingMilieux_MISCELLANEOUS ,Sequence ,medicine.diagnostic_test ,business.industry ,Cancer ,Pattern recognition ,Gold standard (test) ,medicine.disease ,Pearson product-moment correlation coefficient ,3. Good health ,Positron emission tomography ,030220 oncology & carcinogenesis ,Signal Processing ,symbols ,Artificial intelligence ,business ,Nuclear medicine - Abstract
International audience; Factor Analysis of Medical Image Sequences (FAMIS) is recognized as one pioneer successfully used approach for analyzing especially dynamic images' sequence for estimating kinetics and associated compartments having a physiological meaning. Some studies tried to extend the exploring of this approach to analyze Positron Emission Tomography (PET) image modality for dynamic sequences. PET images with 18F-fluorodesoxyglucose (18F-FDG) is the gold standard for in vivo, evaluation of tumor glucose metabolism and is widely used in clinical oncology. In this paper, a novel approach is proposed to obtain an automated quantification method for early accumulation of 18F-FDG tracer in order to explore breast cancer, by applying FAMIS tool on dynamic first pass 18F-FDG PET dynamic sequences. This approach starts by an automated identification of a tumor Region of Interest (ROI) from PET dynamic images' sequence. Then, a FAMIS approach is applied to separate two compartments: one compartment is associated to the vascular and a second one is associated to the purely tumor compartment. The latter allows the evaluation of the temporal evolution of the glucose tracer metabolism and therefore for pursuing cancer characterization. A new empiric parameter KFPQ (First Pass Quantification), computed from the evolution of the 18F-FDG radiotracer accumulation using the first 11 min PET early images, is proposed. This parameter is found to be correlated to standardized uptake value maximal index (SUVmax) metabolism tumor. The proposed framework is tested using image sequences' database for 25 different pathology cases, which is considered as largely sufficient by the clinical team. Among clinicians' experience, using a large dataset permits the possibility to obtain accurate information and precise early diagnosis. Pearson correlation coefficient is computed to evaluate as well as to analyze the relationship between the proposed empiric parameter KFPQ and glucose tracer metabolism SUVmax for the overall pathology cases. KFPQ is successfully evaluated by the dynamic first-pass 18F-FDG PET image sequences for exploring early breast cancer diagnosis. Quantitative evaluations, as discussed and validated by clinicians, confirmed the efficiency of the modeling and the usefulness of the new empiric parameter KFPQ to predict tumor glucose metabolism for early uptake. This can be considered as a significant indication for quantification as well as evaluation of early relapse and disease progression during the therapy.
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- 2014
18. Evaluation of breast tumor blood flow with dynamic first-pass 18F-FDG PET/CT: comparison with angiogenesis markers and prognostic factors
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Alina Berriolo-Riedinger, Inna Dygai-Cochet, Olivier Humbert, François Brunotte, Jean-Marc Vrigneaud, Laurent Arnould, Alexandre Cochet, Blandine Khoury, Pierre Fumoleau, Claude Touzery, Sophie Pigeonnat, Bruno Coudert, Michel Toubeau, Cochet, Alexandre, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Département de pathologie des tumeurs, Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Service de Médecine Nucléaire, UNICANCER, Département de Biologie et pathologie des tumeurs [Centre Georges-François Leclerc], Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Service de RMN Spectroscopie, Médecine Nucléaire (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Service de Médecine Nucléaire, Centre Georges-François Leclerc [Dijon] (CGFL), and Service d'Ophtalmologie (CHU de Dijon)
- Subjects
Adult ,Pathology ,medicine.medical_specialty ,Angiogenesis ,Standardized uptake value ,Breast Neoplasms ,[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,Multimodal Imaging ,030218 nuclear medicine & medical imaging ,[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,Neovascularization ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Fluorodeoxyglucose F18 ,Biopsy ,medicine ,Biomarkers, Tumor ,[INFO.INFO-IM]Computer Science [cs]/Medical Imaging ,Humans ,Radiology, Nuclear Medicine and imaging ,Prospective Studies ,ComputingMilieux_MISCELLANEOUS ,Aged ,Cell Proliferation ,medicine.diagnostic_test ,Neovascularization, Pathologic ,business.industry ,Endothelial Cells ,Blood flow ,Endoglin ,Middle Aged ,medicine.disease ,Prognosis ,Logistic Models ,Positron emission tomography ,030220 oncology & carcinogenesis ,Positron-Emission Tomography ,Blood Circulation ,Female ,medicine.symptom ,business ,Tomography, X-Ray Computed - Abstract
The purpose of this study was to prospectively evaluate the relationship between tumor blood flow and glucose metabolism as evaluated by dynamic first-pass (18)F-FDG PET and by proliferation and endothelial pathologic markers in the setting of newly diagnosed breast cancer.Forty patients were prospectively included. Biopsy samples of each tumor were used to assess the Ki67 index of proliferation and immunostaining for CD34 (a panendothelial cell marker) and CD105 (a proliferation-related endothelial cell marker). All patients underwent (18)F-FDG PET/CT at least 1 wk after sample biopsy and before any treatment. A dynamic 2-min acquisition was performed immediately after intravenous injection of a 5 MBq/kg dose of (18)F-FDG; tumor blood flow was then calculated using a single-compartment kinetic model. A static acquisition was performed 90 min after injection for quantification of delayed (18)F-FDG tumor uptake (standardized uptake value maximal index [SUV(max)]), reflecting tumor metabolism.Pathologic and PET/CT data were available for all patients. The SUV(max) measured on delayed PET images correlated strongly and positively with the expression of Ki67 (r = +0.69; P0.0001). In contrast, there was no significant correlation between SUV(max) and endothelial markers (CD34 and CD105). Tumor blood flow correlated positively with the expression of CD34 and CD105 (P = 0.016 and P = 0.007, respectively) and with the expression of Ki67 (P = 0.028). By logistic regression analysis, only expression of Ki67 remained an independent predictor of high (supramedian) SUV(max); CD105 score and histopathologic grade 3 were independently associated with a high (supramedian) tumor blood flow level.Tumor blood flow quantified by dynamic first-pass (18)F-FDG PET/CT is significantly associated with tumor angiogenesis as evaluated by immunohistochemistry in the setting of breast cancer, whereas tumor metabolism appears to be more associated with markers of proliferation. Thus, determination of tumor blood flow and metabolism with a single injection of (18)F-FDG could be an exciting alternative to more complex and less available techniques.
- Published
- 2012
19. Positron emission tomography and neoadjuvant therapy of breast cancer
- Author
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Alexandre Cochet, Stephen B. Fox, Daniele Generali, Francesco Ferrozzi, Rodney J. Hicks, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Centro di Medicina Molecolare, Istituti Ospitalieri di Cremona, Unità di Patologia Mammaria, Senologia e Breast Unit, Centro di Medicina Molecolare, Azienda Istituti Ospitalieri di Cremona, Department of pathology, Peter MacCallum Cancer Centre, Centre for molecular imaging, Cochet, Alexandre, Generali, Daniele, Fox, Stephen B., Ferrozzi, Francesco, Hicks, Rodney J., Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), and Peter MacCallum Cancer Center
- Subjects
Oncology ,Cancer Research ,medicine.medical_treatment ,Receptor expression ,Tumor response ,030218 nuclear medicine & medical imaging ,[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,Antineoplastic Agent ,0302 clinical medicine ,Monoclonal ,Pet tracer ,Humanized ,Adjuvant ,Neoadjuvant therapy ,ComputingMilieux_MISCELLANEOUS ,Antibodies, Monoclonal, Humanized ,Antineoplastic Agents ,Biomarkers, Tumor ,Breast Neoplasms ,Chemotherapy, Adjuvant ,Female ,Fluorodeoxyglucose F18 ,Humans ,Radiopharmaceuticals ,Trastuzumab ,Neoadjuvant Therapy ,Positron-Emission Tomography ,Medicine (all) ,Tumor ,medicine.diagnostic_test ,General Medicine ,3. Good health ,Positron emission tomography ,030220 oncology & carcinogenesis ,Radiopharmaceutical ,Breast Neoplasm ,Human ,medicine.medical_specialty ,[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,Antibodies ,[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,03 medical and health sciences ,Breast cancer ,Internal medicine ,medicine ,Chemotherapy ,business.industry ,medicine.disease ,business ,Biomarkers - Abstract
The increasing use of neoadjuvant therapy for breast cancer has led to the development of early surrogate markers of response. Positron emission tomography (PET) allows noninvasive study of fundamental biologic processes in the tumor; furthermore, PET provides various markers to assess tumor response early in the course of therapy. Numerous studies have shown that changes in tumor glucose metabolism during therapy are significantly correlated with final response and patient outcome. Moreover, new PET tracers that are currently being developed or under evaluation, providing specific information on tumor characteristics or receptor expression, will assist the development of new targeted anticancer agents.
- Published
- 2011
20. Bone metastasis of a breast cancer detected by 3'-deoxy-3'-18F-fluorothymidine PET/CT
- Author
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François Brunotte, Alina Berriolo-Riedinger, Alexandre Cochet, Caroline Rousseau, Olivier Couturier, Sylvie Girault, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER, Centre Paul Papin, CRLCC Paul Papin, Centre de Recherche en Cancérologie Nantes-Angers (CRCNA), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM)-Hôtel-Dieu de Nantes-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Laennec-Centre National de la Recherche Scientifique (CNRS)-Faculté de Médecine d'Angers-Centre hospitalier universitaire de Nantes (CHU Nantes), Service de médecine nucléaire, Centre régional de lutte contre le cancer, Ingénierie de la vectorisation particulaire, Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de Médecine Nucléaire, PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Centre de Recherche en Cancérologie / Nantes - Angers ( CRCNA ), CHU Angers-Hôtel-Dieu de Nantes-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Hôpital Laennec-Centre National de la Recherche Scientifique ( CNRS ) -Faculté de Médecine d'Angers-Centre hospitalier universitaire de Nantes ( CHU Nantes ), Université d'Angers ( UA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), CHU Angers, and Cochet, Alexandre
- Subjects
Adult ,medicine.medical_specialty ,Bone Neoplasms ,Breast Neoplasms ,Docetaxel ,[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,030204 cardiovascular system & hematology ,01 natural sciences ,Bone and Bones ,[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,ComputingMilieux_MISCELLANEOUS ,Epirubicin ,PET-CT ,010405 organic chemistry ,business.industry ,Bone metastasis ,General Medicine ,medicine.disease ,Dideoxynucleosides ,3. Good health ,0104 chemical sciences ,18f fluorothymidine ,Treatment Outcome ,Positron-Emission Tomography ,Female ,Taxoids ,Radiology ,business ,Tomography, X-Ray Computed - Abstract
International audience
- Published
- 2009
21. [18F]FDG-PET predicts complete pathological response of breast cancer to neoadjuvant chemotherapy
- Author
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Jean-Marc Riedinger, François Brunotte, Christophe Boichot, Laurent Arnould, Alina Berriolo-Riedinger, Alexandre Cochet, Bruno Coudert, Claude Touzery, Michel Toubeau, Pierre Fumoleau, Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Service de Médecine Nucléaire, Laboratoire de Biologie Médicale [Centre Georges-François leclerc], Département de Biologie et pathologie des tumeurs [Centre Georges-François Leclerc], Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER, UNICANCER-UNICANCER, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), and Cochet, Alexandre
- Subjects
Oncology ,medicine.medical_specialty ,medicine.medical_treatment ,Pathological response ,Antineoplastic Agents ,Breast Neoplasms ,[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,Sensitivity and Specificity ,030218 nuclear medicine & medical imaging ,18f fdg pet ,[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Fluorodeoxyglucose F18 ,Internal medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Neoadjuvant therapy ,ComputingMilieux_MISCELLANEOUS ,Chemotherapy ,medicine.diagnostic_test ,business.industry ,Fdg uptake ,Reproducibility of Results ,General Medicine ,Middle Aged ,medicine.disease ,Prognosis ,Neoadjuvant Therapy ,3. Good health ,Clinical trial ,Treatment Outcome ,Positron emission tomography ,030220 oncology & carcinogenesis ,Positron-Emission Tomography ,Female ,Radiopharmaceuticals ,business - Abstract
To evaluate, in breast cancer patients treated by neoadjuvant chemotherapy, the predictive value of reduction in FDG uptake with regard to complete pathological response (pCR).Forty-seven women with non-metastatic, non-inflammatory, large or locally advanced breast cancer were included. Tumour uptake of FDG was evaluated before and after the first course of neoadjuvant chemotherapy. Four indices were used: maximal and average SUV without or with correction by body surface area and glycaemia (SUV(max), SUV(avg), SUV(max-BSA-G) and SUV(avg-BSA-G), respectively). The predictive value of reduction in FDG uptake with respect to pCR was studied by logistic regression analysis. Relationships between baseline [(18)F]FDG uptake and prognostic parameters were assessed.The relative decrease in FDG uptake (DeltaSUV) after the first course of neoadjuvant chemotherapy was significantly greater in the pCR group than in the non-pCR group (p0.000066). The four FDG uptake indices were all strongly correlated with each other. A decrease in SUV(max-BSA-G) of 85.4% +/- 21.9% was found in pCR patients, versus 22.6% +/- 36.6% in non-pCR patients. DeltaSUV(max-BSA-G)-60% predicted the pCR with an accuracy of 87% and DeltaSUVs were found to be only factors predictive of the pCR at multivariate analysis. An elevated baseline SUV was associated with high mitotic activity (p0.0016), tumour grading (p0.004), high nuclear pleomorphism score (p0.03) and negative hormonal receptor status (p0.005).In breast cancer patients, after only one course of neoadjuvant chemotherapy the reduction in FDG uptake is an early and powerful predictor of pCR.
- Published
- 2007
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