scholarly journals 99mTc-Sestamibi Using a Direct Conversion Molecular Breast Imaging System to Assess Tumor Response to Neoadjuvant Chemotherapy in Women With Locally Advanced Breast Cancer

2013 ◽  
Vol 38 (12) ◽  
pp. 949-956 ◽  
Author(s):  
David Mitchell ◽  
Carrie B. Hruska ◽  
Judy C. Boughey ◽  
Dietlind L. Wahner-Roedler ◽  
Katie N. Jones ◽  
...  
1998 ◽  
Vol 16 (5) ◽  
pp. 1677-1683 ◽  
Author(s):  
A Ciarmiello ◽  
S Del Vecchio ◽  
P Silvestro ◽  
M I Potena ◽  
M V Carriero ◽  
...  

PURPOSE Since we have previously shown that the efflux rate of technetium 99m (99mTc) sestamibi, a transport substrate of P-glycoprotein (Pgp), is directly correlated with Pgp levels in untreated breast carcinoma, we tested whether tumor clearance of 9mTc-sestamibi may be predictive of therapeutic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer. PATIENTS AND METHODS Thirty-nine patients with stage III disease, median tumor diameter 5.8 cm (range, 3 to 10) were enrolled onto this prospective clinical trial and underwent 99mTc-sestamibi scan before neoadjuvant chemotherapy. Patients were injected intravenously (i.v.) with 740 MBq of 99mTc-sestamibi; a 15-minute dynamic study was performed, and static planar images were obtained at 0.5, 1, 2, and 4 hours. The time to half clearance of 99mTc-sestamibi was calculated in each patient from decay corrected time-activity curves using a monoexponential fitting. Patients were treated with epirubicin 150 mg/m2 i.v. every 2 weeks for three courses and then underwent surgery within 3 weeks from the completion of chemotherapy. Residual tumor was assessed by pathologic examination of mastectomy specimens. RESULTS Seventeen of 39 patients showed a rapid tumor clearance of 9mTc-sestamibi (time to half clearance [t1/2] < or = 204 minutes) and 15 of these 17 (88%) showed a highly cellular macroscopic residual tumor at histology that indicated lack of tumor response to neoadjuvant chemotherapy. In contrast, only eight of 22 (36%) with prolonged retention of 99mTc-sestamibi (t1/2 > 204 minutes) showed residual macroscopic tumor at histology (Fisher's exact test, P < .01). CONCLUSION A rapid tumor clearance of 99mTc-sestamibi may predict lack of tumor response to neoadjuvant chemotherapy with drugs affected by the multidrug-resistant phenotype in patients with locally advanced breast carcinoma.


2021 ◽  
Vol 11 ◽  
Author(s):  
Lorenzo Fantini ◽  
Maria Luisa Belli ◽  
Irene Azzali ◽  
Emiliano Loi ◽  
Andrea Bettinelli ◽  
...  

PurposeThe objective of this study was to evaluate a set of radiomics-based advanced textural features extracted from 18F-FLT-PET/CT images to predict tumor response to neoadjuvant chemotherapy (NCT) in patients with locally advanced breast cancer (BC).Materials and MethodsPatients with operable (T2-T3, N0-N2, M0) or locally advanced (T4, N0-N2, M0) BC were enrolled. All patients underwent chemotherapy (six cycles every 3 weeks). Surgery was performed within 4 weeks of the end of NCT. The MD Anderson Residual Cancer Burden calculator was used to evaluate the pathological response. 18F-FLT-PET/CT was performed 2 weeks before the start of NCT and approximately 3 weeks after the first cycle. The evaluation of PET response was based on EORTC criteria. Standard uptake value (SUV) statistics (SUVmax, SUVpeak, SUVmean), together with 148 textural features, were extracted from each lesion. Indices that are robust against contour variability (ICC test) were used as independent variables to logistically model tumor response. LASSO analysis was used for variable selection.ResultsTwenty patients were included in the study. Lesions from 15 patients were evaluable and analyzed: 9 with pathological complete response (pCR) and 6 with pathological partial response (pPR). Concordance between PET response and histological examination was found in 13/15 patients. LASSO logistic modelling identified a combination of SUVmax and the textural feature index IVH_VolumeIntFract_90 as the most useful to classify PET response, and a combination of PET response, ID range, and ID_Coefficient of Variation as the most useful to classify pathological response.ConclusionsOur study suggests the potential usefulness of FLT-PET for early monitoring of response to NCT. A model based on PET radiomic characteristics could have good discriminatory capacity of early response before the end of treatment.


2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 281-281
Author(s):  
S. K. Ahn ◽  
H. Moon ◽  
E. Ko ◽  
J. s. Kim ◽  
J. M. You ◽  
...  

281 Background: There is controversy about the benefit of chemotherapy-induced amenorrhea (CIA) in breast cancer. We investigated significance of CIA after neoadjuvant chemotherapy for predicting response to neoadjuvant chemotherapy in breast cancer patients. Methods: We reviewed the records of 198 premenopausal patients with breast cancer treated with neoadjuvant chemotherapy between January 2005 and December 2010. Chemotherapy-induced amenorrhea (CIA) was defined as serum FSH level ≥40 IU/L after completion of all scheduled neoadjuvant chemotherapy and prior to definitive surgery. Results: Among 198 breast cancer patients, 132 pts (66.7%) developed CIA after neoadjuvant chemotherapy. 156 pts (78%) underwent DA chemotherapy. The age of CIA patients was older than non-CIA patients (41.55±5.55 vs. 38.27± 6.86 years, p=0.001). The incidence of CIA after neoadjuvant chemotherapy was significantly higher in responder group (responder vs. nonresponder: 87 pts (74.4%) vs. 45 pts (55.6%); p=0.006). Additionally, FSH level after all scheduled neoadjuvant chemotherapy was significantly higher in responder group (FSH 56.41±32.41 mIU/ml vs. 45.76±30.31 mIU/ml; p=0.021). In univariate analysis, CIA (p=0.006) and total number of chemotherapy cycle regardless of chemotherapy regimen (p=0.04) were significantly predictive of tumor response. CIA was only significant predictive factor for tumor response after neoadjuvant chemotherapy on multivariate analysis (p=0.012). Conclusions: CIA is independent predictive markers of response to neoadjuvant chemotherapy in locally advanced breast cancer.


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