Utility of Breast MRI for Evaluation of Residual Disease Following Excisional Biopsy

Wilkinson, Jared; Appleton, Catherine M.; Margenthaler, Julie A.

doi:10.1016/j.jss.2011.03.039

Cited by 8 publications

(7 citation statements)

References 28 publications

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“…Orel et al [11] evaluated postoperative patients using MRI to assess for residual disease and reported PPV of 82% and NPV of 61%. In other studies, the reported sensitivity, specificity, PPV, and NPV of MRI for detecting [9][10][11][12][15][16][17].…”

Section: Discussionmentioning

confidence: 92%

Evaluation of Residual Disease Using Breast MRI After Excisional Biopsy for Breast Cancer

Chae

Hee

Kim

et al. 2013

American Journal of Roentgenology

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Although the overlapping features of the postsurgical changes and malignant lesions remain as the limitations, dynamic contrast-enhanced breast MRI is a useful tool for residual disease prediction after excisional biopsy for breast cancer. Combined use of morphologic and kinetic evaluation parameters improved the diagnostic performance. We do not recommend that MRI be unreasonably delayed after excisional biopsy considering the risk of prolonging definitive surgery.

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Section: Discussionmentioning

confidence: 92%

Evaluation of Residual Disease Using Breast MRI After Excisional Biopsy for Breast Cancer

Chae

Hee

Kim

et al. 2013

American Journal of Roentgenology

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“…Consequently, biopsy has been recommended for MRI-detected fibroadenomas or even cyst-like masses in young patients with BRCA1/2 mutations or otherwise strong family breast cancer history [64]. However, this recommendation can lead to more false-positive findings, and thereafter to further worsening in the specificity of MRI after excisional biopsy [76]. It should be noted that women at high breast cancer risk often turn down invitations to participate in MRI surveillance programs due to fear of being sent for biopsy or other testing [77].…”

Section: Detection Of Pc For Surveillance Of Women At High Breast Canmentioning

confidence: 99%

Robust identification of the cancer biomarker phosphocholine through partitioned envelopes in noisy magnetic resonance spectroscopic data by the non-parametric fast Padé transform

Belkić

2017

J Math Chem

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The recently introduced concept of envelope partitioning for shape estimation within the fast Padé transform (FPT) is presently further explored and solidified. Earlier, noise-free time signals were used and the results were reported for a single model order K . Currently, partitioned envelopes are computed for several values of model orders K by employing noise-corrupted time signals of increasing standard deviations, σ = 0.0289, 0.289, 2.89 in units of root-mean-square of the noise-free time signal. Moreover, spectra averaging is exploited to stabilize shape estimation in face of sensitivity to changes in model order. The main goal of this study is to establish the robustness of the non-parametric FPT for reconstructions of partitioned average envelopes computed with noisy time signals. Both the previous and present illustrations concern synthesized time signals typically encountered in single-voxel magnetic resonance spectroscopy (MRS), akin to in vitro encoding from malignant breast tissue. This particular problem area is chosen for a twofold reason: clinical urgency in cancer medicine, and a huge challenge to reliably identify a key cancer biomarker (phosphocholine), completely hidden underneath a dominant peak (phosphoethanolamine), with a separation of mere 0.001 parts per million of chemical shift. signals, the road would be paved for applications of this special shape estimation to the associated data from in vivo encodings. Partitioned envelopes are important since they offer possibilities to peer into the tightly overlapped resonances by splitting their components apart already at the level of sole total shape spectra. Although constrained by non-parametric estimations, they can still qualitatively decompose the regions of higher spectral density. This would enable subsequent focusing on the most critical spectral regions of interest when solving the local quantification problem by parametric estimations. Such a stepwise strategy is expected to be especially beneficial for multi-voxel magnetic resonance spectroscopic imaging (MRSI), where thousands of noisy spectra need to be processed. The FPT-based partitioned envelopes, followed by accurate local spectral analysis in narrow frequency intervals are poised to help MRSI become an efficient diagnostic modality for everyday clinical practice.

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“…Among the reasons given for non-participation were fear, as well as anticipation of being sent for biopsy or other testing. Another concern is that the specificity of MRI further deteriorates after excisional biopsy [40].…”

Section: Standard Anatomic Modalities Currently Applied For Various Amentioning

confidence: 99%

“…Biopsy has therefore been recommended for MRI-detected fibroadenomas or even cyst-like masses in young patients with BRCA1/2 mutations or otherwise strong family breast cancer history [24]. While obviously a prudent recommendation, the attendant problems of false-positive findings are thereby exacerbated, including subsequent further deterioration in specificity of MRI after excisional biopsy [40]. Recall, also, that among the major reasons why women at high breast cancer risk declined participation in an MRI surveillance program were fear, as well as anticipation of being sent for biopsy or other testing [39].…”

Section: Current Dilemmasmentioning

confidence: 99%

Mathematically-optimized magnetic resonance spectroscopy in breast cancer diagnostics: implications for personalized cancer medicine

Belkić

2015

J Math Chem

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We comprehensively examine the performance of the fast Padé transform (FPT) for handling noise-corrupted magnetic resonance spectroscopic (MRS) data from normal breast, fibroadenoma and breast cancer in the controlled setting compared to conventional processing through the fast Fourier transform (FFT) for a wide chemical shift region. Included is an assessment of the performance of the FPT (+) for very heavily noise-corrupted MRS time signals from the breast. For all three categories of breast tissue, the FFT produced only rudimentary total shape spectra with coarse, broad, shortened peaks at full signal length, whereas the FPT (−) fully resolved all the tightly-packed, and some completely overlapping resonances, accurately reconstructing the spectral parameters from which all the metabolite concentrations were exactly computed. With added noise of standard deviation σ ∼ 3 root-mean-square, the FPT (+) clearly identified and exactly reconstructed all the genuine resonances and distinguished these from the much more abundant spurious content. The powerful capability of the FPT (+) to induce convergence into divergent series via analytical continuation appears to result in more noise cancellation, with pole-zero coincidence remaining complete even at very high noise levels. These results represent a critical step towards efficient in vivo implementations of MRS, where there is no input data with which to check. Detailed consideration is made of how these results could improve the diagnostic yield of MRS for breast cancer, and how this could potentially impact upon a more personalized approach to care of patients afflicted with or at risk for this malignancy.

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Utility of Breast MRI for Evaluation of Residual Disease Following Excisional Biopsy

Cited by 8 publications

References 28 publications

Evaluation of Residual Disease Using Breast MRI After Excisional Biopsy for Breast Cancer

Evaluation of Residual Disease Using Breast MRI After Excisional Biopsy for Breast Cancer

Robust identification of the cancer biomarker phosphocholine through partitioned envelopes in noisy magnetic resonance spectroscopic data by the non-parametric fast Padé transform

Mathematically-optimized magnetic resonance spectroscopy in breast cancer diagnostics: implications for personalized cancer medicine

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