Triple-Negative and Non–Triple-Negative Invasive Breast Cancer: Association between MR and Fluorine 18 Fluorodeoxyglucose PET Imaging

Bolouri, Marjan S.; Elias, Sjoerd G.; Wisner, Dorota J.; Behr, Spencer C.; Hawkins, Randall A.; Suzuki, Sachiko; Banfield, Krysta S.; Joe, Bonnie N.; Hylton, Nola M.

doi:10.1148/radiol.13130058

Cited by 22 publications

(13 citation statements)

References 23 publications

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“…Breast cancer is a heterogeneous disease with a broad range of therapeutic responses, recurrence risk, and overall prognosis [ 1 ]. Predicting the prognosis of breast cancer is very important to determine the direction of treatment.…”

Section: Introductionmentioning

confidence: 99%

Associations between the standardized uptake value of 18F-FDG PET/CT and the prognostic factors of invasive lobular carcinoma: in comparison with invasive ductal carcinoma

et al. 2015

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BackgroundThe aims of this study were to evaluate the associations between the maximum standardized uptake value (SUVmax) and prognostic factors in invasive lobular carcinoma (ILC) and to compare these results with those in invasive ductal carcinoma (IDC).MethodsThe study included pathologically confirmed ILCs (n = 32) and IDCs (n = 73). We retrospectively evaluated the preoperative 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and measured the SUVmax. The pathologic results were reviewed regarding the size, histological type, histological grade, estrogen receptor (ER) and progesterone receptor (PR) status, human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and Ki-67 of the primary tumor. We also compared the associations between the SUVmax and prognostic factors.ResultsThe mean SUVmax of the ILCs was significantly lower compared with that of the IDCs (P = 0.032). The SUVmax increased with tumor grade (P < 0.001) and was higher with ER negativity compared with ER positivity (P = 0.007) in IDC. The SUVmax was higher with EGFR positivity compared with EGFR negativity (P = 0.013) in IDC and higher with Ki-67 positivity compared with Ki-67 negativity in IDC and ILC (P < 0.001 and P = 0.002, respectively). The SUVmax was not significantly different regarding PR or HER2 for both tumor groups. The correlation between the tumor size and the SUVmax was demonstrated for IDCs (r = 0.57), but not for ILCs (r = 0.25).ConclusionsThe SUVmax was significantly different according to the tumor grade, ER, EGFR, and Ki-67 for IDCs. The SUVmax exhibited a positive association with Ki-67 in ILC; however, it was not significantly different with other factors, which suggests that the role of 18F-FDG PET/CT may be limited in ILC.

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Section: Introductionmentioning

confidence: 99%

Associations between the standardized uptake value of 18F-FDG PET/CT and the prognostic factors of invasive lobular carcinoma: in comparison with invasive ductal carcinoma

et al. 2015

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“…Some studies analyzed correlation of CA enhancement patterns on MR images with histopathological findings and tumor angiogenesis [63], [64], and with PET imaging[65]. This study analyzed error propagation of SQ parameters in three types of SI-time courses, selected on the basis of these published findings, to investigate these curve shapes' preference for robust calculation of SQ parameters.…”

Section: Discussionmentioning

confidence: 99%

Semi-Quantitative Parameter Analysis of DCE-MRI Revisited: Monte-Carlo Simulation, Clinical Comparisons, and Clinical Validation of Measurement Errors in Patients with Type 2 Neurofibromatosis

Jackson

Zhu

2014

PLoS ONE

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PurposeTo compare semi-quantitative (SQ) and pharmacokinetic (PK) parameters for analysis of dynamic contrast enhanced MR data (DCE-MRI) and investigate error-propagation in SQ parameters.MethodsClinical data was collected from five patients with type 2-neurofibromatosis (NF2) receiving anti-angiogenic therapy for rapidly growing vestibular schwannoma (VS). There were 7 VS and 5 meningiomas. Patients were scanned prior to therapy and at days 3 and 90 of treatment. Data was collected using a dual injection technique to permit direct comparison of SQ and PK parameters. Monte Carlo modeling was performed to assess potential measurement errors in SQ parameters in persistent, washout, and weakly enhancing tissues. The simulation predictions for five semi-quantitative parameters were tested using the clinical DCE-MRI data.ResultsIn VS, SQ parameters and Ktrans showed close correlation and demonstrated similar therapy induced reductions. In meningioma, only the denoised Signal Enhancement Ratio (Rse1/se2(DN)) showed a significant therapy induced reduction (p<0.05). Simulation demonstrated: 1) Precision of SQ metrics normalized to the pre-contrast-baseline values (MSErel and ∑MSErel) is improved by use of an averaged value from multiple baseline scans; 2) signal enhancement ratio Rmse1/mse2 shows considerable susceptibility to noise; 3) removal of outlier values to produce a new parameter, Rmse1/mse2(DN), improves precision and sensitivity to therapy induced changes. Direct comparison of in-vivo analysis with Monte Carlo simulation supported the simulation predicted error distributions of semi-quantitative metrics.ConclusionPK and SQ parameters showed similar sensitivity to anti-angiogenic therapy induced changes in VS. Modeling studies confirmed the benefits of averaging baseline signal from multiple images for normalized SQ metrics and demonstrated poor noise tolerance in the widely used signal enhancement ratio, which is corrected by removal of outlier values.

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“…Magnetic resonance imaging (MRI) is the most sensitive method for breast cancer detection. It is also useful for detection and characterization of TNBC [6,7,8]. Several studies have reported the MRI features of TNBC, and describe some sensitive MRI features more frequently seen in TNBC than in other subtypes of breast cancer, including rim enhancement, intratumoral high signal on T2-weighted images, and peritumoral edema, which appear to be related to poor prognosis [1,2,6,9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Standardized uptake value (SUV), a semi-quantitative measurement of FDG uptake, has been reported to be a prognosis predicting factor for TNBC [12,13,14]. TNBC shows higher SUVmax than other subtypes of breast cancer [4,8]. Dogan et al [4] suggested that the high SUVmax of TNBC is caused by increased glycolysis due to the high proliferation rate of TNBC.…”

Section: Introductionmentioning

confidence: 99%

Association between MRI Features and Standardized Uptake Value of 18F-FDG PET/CT in Triple-Negative Breast Cancer

Choi

Lee²,

Kim

2018

Oncol Res Treat

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Background: Triple-negative breast cancer (TNBC) is a breast cancer subgroup that lacks the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Certain magnetic resonance imaging (MRI) features of TNBC might reflect the poor prognosis of TNBC. Standardized uptake value (SUV) of [¹⁸F]fluorodeoxyglucose positron emission tomography/computed tomography is 1 of predictive prognostic factors for breast cancer. The purpose of this study was to correlate MRI features of TNBC with SUVmax to determine whether MRI findings in TNBC could be helpful for predicting prognosis. Methods: We analyzed MRI findings of TNBC according to breast imaging reporting and data system (BI-RADS) MRI lexicon. We also assessed intratumoral high signal intensity on T2-weighted MRI, time-intensity curve analysis and peritumoral edema. The relationship between MRI features of TNBC and SUVmax was then statistically analyzed. Results: Significant correlations of SUVmax with the internal enhancement pattern, intratumoral high signal intensity on T2-weighted images, and peritumoral edema were noted. There was no significant correlation of SUVmax with mass shape, margin, or kinetics. Conclusion: Certain MRI features of TNBC such as heterogeneous or rim enhancement, intratumoral very high signal intensity on T2 images, and peritumoral edema might be useful in predicting the prognosis of patients with TNBC.

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Triple-Negative and Non–Triple-Negative Invasive Breast Cancer: Association between MR and Fluorine 18 Fluorodeoxyglucose PET Imaging

Cited by 22 publications

References 23 publications

Associations between the standardized uptake value of 18F-FDG PET/CT and the prognostic factors of invasive lobular carcinoma: in comparison with invasive ductal carcinoma

Associations between the standardized uptake value of 18F-FDG PET/CT and the prognostic factors of invasive lobular carcinoma: in comparison with invasive ductal carcinoma

Semi-Quantitative Parameter Analysis of DCE-MRI Revisited: Monte-Carlo Simulation, Clinical Comparisons, and Clinical Validation of Measurement Errors in Patients with Type 2 Neurofibromatosis

Association between MRI Features and Standardized Uptake Value of 18F-FDG PET/CT in Triple-Negative Breast Cancer

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