Correlation of MRI features and pathohistological prognostic factors in invasive ductal breast carcinoma

Alduk, Ana Marija; Brčić, Iva; Podolski, Paula; Prutki, Maja

doi:10.1080/17843286.2016.1266432

Cited by 9 publications

(7 citation statements)

References 19 publications

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“…Multiparametric MRI of the breast is already the state-of-the-art for the staging of breast cancer patients, and hybrid PET/MR scanners are now clinically available; therefore, this information will readily be available. In this pilot study, there was no correlation of MRI parameters and clinical endpoints, which might be due to the small sample size as prior studies have already demonstrated both a prognostic and predictive potential [19–26]. For instance, Durando et al [25] showed that ADC can be a prognostic factor for malignancy aggressiveness; Dietzel et al [20] and Alduk et al [19] showed that MRI-derived parameters associate with nodal status, predict positive axillary lymph nodes, or larger tumor sizes; and Bae et al [23] found significant association between pretreatment T2 MRI features with recurrence-free survival.…”

Section: Discussionmentioning

confidence: 81%

“…In this pilot study, there was no correlation of MRI parameters and clinical endpoints, which might be due to the small sample size as prior studies have already demonstrated both a prognostic and predictive potential [19–26]. For instance, Durando et al [25] showed that ADC can be a prognostic factor for malignancy aggressiveness; Dietzel et al [20] and Alduk et al [19] showed that MRI-derived parameters associate with nodal status, predict positive axillary lymph nodes, or larger tumor sizes; and Bae et al [23] found significant association between pretreatment T2 MRI features with recurrence-free survival. On the contrary, [ 18 F]FDG and [ 18 F]FMISO PET parameters showed a moderate-to-strong positive correlation with tumor proliferation rate (Ki67) (a poor prognostic indicator [27]) and DSS.…”

Section: Discussionmentioning

confidence: 81%

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Sequential [¹⁸F]FDG-[¹⁸F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience

Andrzejewski

Wengert

Helbich³

et al. 2019

Contrast Media & Molecular Imaging

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The aim of this study was to assess whether sequential multiparametric 18[F]fluoro-desoxy-glucose (18[F]FDG)/[18F]fluoromisonidazole ([18F]FMISO) PET-MRI in breast cancer patients is possible, facilitates information on tumor heterogeneity, and correlates with prognostic indicators. In this pilot study, IRB-approved, prospective study, nine patients with ten suspicious breast lesions (BIRADS 5) and subsequent breast cancer diagnosis underwent sequential combined [18F]FDG/[18F]FMISO PET-MRI. [18F]FDG was used to assess increased glycolysis, while [18F]FMISO was used to detect tumor hypoxia. MRI protocol included dynamic breast contrast-enhanced MRI (DCE-MRI) and diffusion-weighted imaging (DWI). Qualitative and quantitative multiparametric imaging findings were compared with pathological features (grading, proliferation, and receptor status) and clinical endpoints (recurrence/metastases and disease-specific death) using multiple correlation analysis. Histopathology was the standard of reference. There were several intermediate to strong correlations identified between quantitative bioimaging markers, histopathologic tumor characteristics, and clinical endpoints. Based on correlation analysis, multiparametric criteria provided independent information. The prognostic indicators proliferation rate, death, and presence/development of recurrence/metastasis correlated positively, whereas the prognostic indicator estrogen receptor status correlated negatively with PET parameters. The strongest correlations were found between disease-specific death and [18F]FDGmean (R=0.83, p < 0.01) and between the presence/development of metastasis and [18F]FDGmax (R=0.79, p < 0.01), respectively. This pilot study indicates that multiparametric [18F]FDG/[18F]FMISO PET-MRI might provide complementary quantitative prognostic information on breast tumors including clinical endpoints and thus might be used to tailor treatment for precision medicine in breast cancer.

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Section: Discussionmentioning

confidence: 81%

Section: Discussionmentioning

confidence: 81%

Sequential [¹⁸F]FDG-[¹⁸F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience

Andrzejewski

Wengert

Helbich³

et al. 2019

Contrast Media & Molecular Imaging

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“…Tumors with a 3+ or 2+ with a positive fluorescence in situ hybridization (FISH) were defined as HER2‐positive 27 . The threshold for low/high expression of Ki‐67 was 20% 28 …”

Section: Methodsmentioning

confidence: 99%

Quantitative Assessment of Restriction Spectrum MR Imaging for the Diagnosis of Breast Cancer and Association With Prognostic Factors

Qin

Tang

et al. 2022

Magnetic Resonance Imaging

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Background Restriction spectrum imaging (RSI) is an advanced quantitative diffusion‐weighted magnetic resonance imaging (DWI) technique to assess breast cancer. Purpose To investigate the ability of RSI to differentiate the benign and malignant breast lesions and the association with prognostic factors of breast cancer. Study Type Retrospective. Population Seventy women (mean age, 49.6 ± 12.3 years) with 56 malignant and 19 benign breast lesions. Field Strength/Sequence 3‐T; RSI‐based DWI sequence with echo‐planar imaging technique. Assessment The apparent diffusion coefficient (ADC) and RSI parameters (restricted diffusion f1, hindered diffusion f2, free diffusion f3, and signal fractions f1f2) were calculated by two readers for the whole lesion volume and compared between the benign and malignant groups and the subgroups with different statuses of prognostic factors in breast cancer. Statistical Tests Mann–Whitney U test or Student's t‐test was applied to compare the quantitative parameters between the different groups. Intraclass correlation coefficient (ICC) was used to assess readers' reproducibility. Binary logistic regression was used to combine parameters. Area under the curve (AUC) of receiver operating characteristic curve analysis was used to evaluate the diagnostic performance of parameters to distinguish benign from malignant breast lesions. A P‐value <0.05 was considered statistically significant. Results Malignant breast lesions showed significantly lower ADC and f3 values, and significantly higher f1 and f1f2 values than the benign lesions, with AUC of 0.951, 0.877, 0.868, and 0.860, respectively. When RSI‐derived parameters and ADC were combined, the diagnostic performance was superior to either single parameter (AUC = 0.973). The f3 value was significantly differed between estrogen receptor (ER)‐positive and ER‐negative tumors. The ADC, f1, f3, and f1f2 values were significantly different progesterone receptor (PR)‐positive and PR‐negative status. Data Conclusion The RSI‐derived parameters (f1, f3, and f1f2) may facilitate the differential diagnosis between benign and malignant breast lesions. Level of Evidence 4 Technical Efficacy Stage 2

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“…MRI has a high predictive and prognostic value that has been demonstrated in multiple previous studies. A smooth margin of breast cancer in DCE-MRI proved to be predictive for positive lymph nodes, large tumour size, and low oestrogen receptor (ER) expression (101). Conversely, MR BI-RADS descriptors “skin thickening” and “internal enhancement” were found to be significantly associated with lymph node metastases, one of the most important prognostic factors in breast cancer (102).…”

Section: Further Beyondmentioning

confidence: 99%

Clinical role of breast MRI now and going forward

et al. 2018

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Magnetic resonance imaging (MRI) is a well-established method in breast imaging, with manifold clinical applications, including the non-invasive differentiation between benign and malignant breast lesions, preoperative staging, detection of scar versus recurrence, implant assessment, and the evaluation of high-risk patients. At present, dynamic contrast-enhanced MRI is the most sensitive imaging technique for breast cancer diagnosis, and provides excellent morphological and to some extent also functional information. To compensate for the limited functional information, and to increase the specificity of MRI while preserving its sensitivity, additional functional parameters such as diffusion-weighted imaging and apparent diffusion coefficient mapping, and MR spectroscopic imaging have been investigated and implemented into the clinical routine. Several additional MRI parameters to capture breast cancer biology are still under investigation. MRI at high and ultra-high field strength and advances in hard- and software may also further improve this imaging technique. This article will review the current clinical role of breast MRI, including multiparametric MRI and abbreviated protocols, and provide an outlook on the future of this technique. In addition, the predictive and prognostic value of MRI as well as the evolving field of radiogenomics will be discussed.

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Correlation of MRI features and pathohistological prognostic factors in invasive ductal breast carcinoma

Cited by 9 publications

References 19 publications

Sequential [¹⁸F]FDG-[¹⁸F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience

Sequential [¹⁸F]FDG-[¹⁸F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience

Quantitative Assessment of Restriction Spectrum MR Imaging for the Diagnosis of Breast Cancer and Association With Prognostic Factors

Clinical role of breast MRI now and going forward

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Correlation of MRI features and pathohistological prognostic factors in invasive ductal breast carcinoma

Cited by 9 publications

References 19 publications

Sequential [18F]FDG-[18F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience

Sequential [18F]FDG-[18F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience

Quantitative Assessment of Restriction Spectrum MR Imaging for the Diagnosis of Breast Cancer and Association With Prognostic Factors

Clinical role of breast MRI now and going forward

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Product

Resources

About

Sequential [¹⁸F]FDG-[¹⁸F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience

Sequential [¹⁸F]FDG-[¹⁸F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience