Evaluating the Relationship Between Dynamic <scp>Contrast‐Enhanced MRI</scp> (<scp>DCE‐MRI</scp>) Parameters and Pathological Characteristics in Breast Cancer

Kang, Se Ri; Kim, Hye Won; Kim, Hun Soo

doi:10.1002/jmri.27241

Cited by 44 publications

(42 citation statements)

References 30 publications

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“…For instance, it has been shown that parameters of DCE MRI were different in tumors with different hormone receptor expression and grade. So far, grade 3 cancers had higher K trans and K ep values in comparison to grade 1 lesions [12,13]. Mean V e was lower in tumors with a high histologic grade than in tumors with a low histologic grade [12].…”

Section: Discussionmentioning

confidence: 91%

“…So far, grade 3 cancers had higher K trans and K ep values in comparison to grade 1 lesions [12,13]. Mean V e was lower in tumors with a high histologic grade than in tumors with a low histologic grade [12]. Regarding expression of hormone receptors, triple negative BC showed higher K trans and K ep , but lower V e values than luminal BC [13].…”

Section: Discussionmentioning

confidence: 94%

“…However, the reported data are controversial [12,13,21,23] [23]. Moreover, the previous studies used different thresholds of KI 67 expression for distinguishing tumors with low and high proliferation activity, namely 15% [13], 10% [21], and 5% [12]. In one study two threshold values, 5% and 15% were analyzed [23].…”

Section: Discussionmentioning

confidence: 99%

“…Previously, some reports also indicated that dynamic contrast enhanced MRI (DCE MRI) can be used as imaging biomarker in BC [6,12,13]. According to the literature, quantitative parameters of DCE MRI, namely volume transfer constant (K trans ), volume of the extravascular extracellular leakage space (V e ), and diffusion of contrast medium from the EES back to the plasma (K ep ) re ect different histopathological features in BC [6,12,13]. For example, Kang et al showed that triple negative BC exhibited higher K trans and K ep in comparison to luminal cancers (P < 0.05) [13].…”

Section: Introductionmentioning

confidence: 99%

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Associations Between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer. A Multicenter Analysis

Surov¹,

Pech²,

Jy³

et al. 2020

Preprint

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Background: To provide evident data regarding relationships between quantitative dynamic contrast enhanced magnetic resonance imaging (DCE MRI) and prognostic factors in breast cancer (BC).Methods: Data from 4 centers (200 female patients, mean age, 51.2 ± 11.5 years) were acquired. The following data were collected: histopathological diagnosis, tumor grade, stage, hormone receptor status, KI 67, and DCE MRI values including Ktrans (volume transfer constant), Ve (volume of the extravascular extracellular leakage space (EES) and Kep (diffusion of contrast medium from the EES back to the plasma). DCE MRI values between different groups were compared using the Mann–Whitney U test and by the Kruskal-Wallis H test. The association between DCE MRI and Ki 67 values was calculated by Spearman’s rank correlation coefficient. Results: DCE MRI values of different tumor subtypes overlapped significantly. There were no statistically significant differences of DCE MRI values between different tumor grades. All DCE MRI parameters correlated with KI 67: Ktrans, r = 0.44, p=0.0001; Ve, r = 0.34, p=0.0001; Kep, r = 0.28, p=0.002. ROC analysis identified a Ktrans threshold of 0.3 min-1 for discrimination of tumors with low KI 67 expression (<25%) and high KI 67 expression (≥25%): sensitivity, 75.5%, specificity, 73.0%, accuracy, 74.0%, AUC, 0.78. DCE MRI values overlapped between tumors with different T and N stages.Conclusion: Ktrans, Kep, and Ve cannot be used as reliable a surrogate marker for hormone receptor status, tumor stage and grade in BC. Ktrans may discriminate lesions with high and lower proliferation activity.

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Associations Between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer. A Multicenter Analysis

Surov¹,

Pech²,

Jy³

et al. 2020

Preprint

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“…Breast cancers were classified as follows: luminal A if estrogen receptor (ER)-and/or progesterone receptor (PR)-positive, human epidermal growth factor receptor 2 (HER2)-negative, and ki67 < 15%; luminal B if ER-and/or PR-positive, HER2-negative, and ki67 ≥ 15%, or ER-and/or PR-positive and HER2-positive regardless of ki67 status; HER2-positive if ER-and PR-negative, and HER2-positive; or triple-negative (TN) if ER, PR, and HER2-negative [38]. Proliferation index Ki67 was recorded as <15% (low proliferation) or ≥15% (high proliferation) [39][40][41].…”

Section: Histopathologymentioning

confidence: 99%

Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization

Ochoa‐Albiztegui

Sevilimedu

Horvat

et al. 2020

Cancers

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The purpose of this study was to investigate whether ultra-high-field dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast at 7T using quantitative pharmacokinetic (PK) analysis can differentiate between benign and malignant breast tumors for improved breast cancer diagnosis and to predict molecular subtypes, histologic grade, and proliferation rate in breast cancer. In this prospective study, 37 patients with 43 lesions suspicious on mammography or ultrasound underwent bilateral DCE-MRI of the breast at 7T. PK parameters (KTrans, kep, Ve) were evaluated with two region of interest (ROI) approaches (2D whole-tumor ROI or 2D 10 mm standardized ROI) manually drawn by two readers (senior reader, R1, and R2) independently. Histopathology served as the reference standard. PK parameters differentiated benign and malignant lesions (n = 16, 27, respectively) with good accuracy (AUCs = 0.655–0.762). The addition of quantitative PK analysis to subjective BI-RADS classification improved breast cancer detection from 88.4% to 97.7% for R1 and 86.04% to 97.67% for R2. Different ROI approaches did not influence diagnostic accuracy for both readers. Except for KTrans for whole-tumor ROI for R2, none of the PK parameters were valuable to predict molecular subtypes, histologic grade, or proliferation rate in breast cancer. In conclusion, PK-enhanced BI-RADS is promising for the noninvasive differentiation of benign and malignant breast tumors.

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Multiparametric Magnetic Resonance Imaging for Assessing Thymic Epithelial Tumors: Correlation With Pathological Subtypes and Clinical Stages

Shen

Zhang

Zhu

et al. 2022

Magnetic Resonance Imaging

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Background World Health Organization classification and Masaoka‐Koga stage are widely used for thymic epithelial tumors (TETs). Reduced field‐of‐view (rFOV) diffusion‐weighed imaging (DWI) proved to improve the image quality. Dynamic contrast‐enhanced (DCE) MRI was commonly used in evaluating tumors. Purpose To investigate the value of multiparametric MRI in evaluating TETs. Study Type Retrospective. Subjects Eighty‐seven participants including 38 low risk (52.08 ± 14.19 years), 30 high risk (52.40 ± 11.35 years), and 19 thymic carcinoma patients (59.76 ± 10.78 years). Field strength/Sequence A 3 T, turbo spin echo imaging, echo planar imaging, volumetric interpolated breath‐hold examination with radial acquisition trajectory. Assessment DCE‐MRI and apparent diffusion coefficient (ADC) variables were compared. Diagnostic performances of single significant factor and combined model were compared. Statistical Tests Parameters were compared using one‐way ANOVA or independent‐samples t test. Logistic regression was employed to investigate the combined model. Receiver operating curves (ROC) and DeLong's test were used to compare the diagnostic efficiency. Results ADC, Ktrans, and kep values were significantly different among low‐risk, high‐risk and carcinoma group (ADC, 1.279 ± 0.345 × 10−3 mm2/sec, 0.978 ± 0.260 × 10−3 mm2/sec, 0.661 ± 0.134 × 10−3 mm2/sec; Ktrans 0.167 ± 0.071 min−1, 0.254 ± 0.136 min−1, 0.393 ± 0.110 min−1; kep 0.345 ± 0.113 min−1, 0.560 ± 0.269 min−1, 0.872 ± 0.149 min−1). They were significantly different for early stage and advanced stage (ADC, 1.270 ± 0.356 × 10−3 mm2/sec vs. 0.845 ± 0.251 × 10−3 mm2/sec; Ktrans 0.179 ± 0.092 min−1 vs. 0.304 ± 0.142 min−1; kep 0.370 ± 0.181 min−1 vs. 0.674 ± 0.362 min−1). The combination of them had highest diagnostic efficiency for WHO classification (AUC, 0.925; sensitivity, 83.7%; specificity, 89.5%), clinical stage (AUC, 0.879; sensitivity, 80.9%; specificity, 82.5%). Data Conclusion Multiparametric MRI model may be useful for discriminating WHO classification and clinical stage of TETs. Evidence Level 4 Technical Efficiency Stage 2

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Evaluating the Relationship Between Dynamic Contrast‐Enhanced MRI (DCE‐MRI) Parameters and Pathological Characteristics in Breast Cancer

Cited by 44 publications

References 30 publications

Associations Between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer. A Multicenter Analysis

Associations Between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer. A Multicenter Analysis

Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization

Multiparametric Magnetic Resonance Imaging for Assessing Thymic Epithelial Tumors: Correlation With Pathological Subtypes and Clinical Stages

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