Impact of the Number of Iterations in Compressed Sensing Reconstruction on Ultrafast Dynamic Contrast-enhanced Breast MR Imaging

Sagawa, Hajime; Kataoka, Masako; Kanao, Shotaro; Onishi, Natsuko; Nickel, Dominik; Toi, Masakazu; Togashi, Kaori

doi:10.2463/mrms.mp.2018-0015

Cited by 16 publications

(11 citation statements)

References 38 publications

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“…The prototype sequence was developed by the manufacturer with minor modification. CS reconstruction was performed with 30 iterations, on the basis of a separate retrospective evaluation of the convergence speed . The sequence parameters of DCE MRI are given in Table .…”

Section: Methodsmentioning

confidence: 99%

New parameters of ultrafast dynamic contrast‐enhanced breast MRI using compressed sensing

Honda

Kataoka

Onishi

et al. 2019

Magnetic Resonance Imaging

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Background: Ultrafast dynamic contrast-enhanced (UF-DCE) breast MRI is considered a promising method of accelerated breast MRI. However, the value of new kinetic parameters derived from UF-DCE need clinical evaluation. Purpose: To evaluate the diagnostic performance of the maximum slope (MS), time to enhancement (TTE), and time interval between arterial and venous visualization (AVI) derived from UF-DCE MRI using compressed sensing (CS). Study Type: Retrospective. Population: Seventy-five patients with histologically proven breast lesions. The total number of analyzed lesions was 90 (61 malignant and 29 benign). Field Strength/Sequence: 3T MRI with UF-DCE MRI based on the 3D gradient-echo volumetric interpolated breath-hold examination (VIBE) sequence using incoherent k-space sampling combined with a CS reconstruction followed by conventional DCE MRI. Assessment: The diagnostic performance of the MS, TTE, AVI, and conventional kinetic analysis was analyzed and compared with histology. Statistical Tests: Wilcoxon rank sum test, receiver operating characteristic analysis. Results: The MS was larger and the TTE and AVI were smaller for malignant lesions compared with benign lesions: MS: 29.3%/s and 18.4%/s (P < 0.001), TTE: 7.0 and 12.0 seconds (P < 0.001), AVI: 2.7 and 4.4 frames (P = 0.006) for malignant and benign lesions. The discriminating power of the MS (area under the curve [AUC], 0.76) was slightly better than that of conventional kinetic analysis (AUC, 0.69) and comparable to that of the TTE and AVI (AUC, 0.78 and 0.76 for TTE and AVI, respectively). Invasive lobular carcinoma had smaller MS (21.8%/s) among malignant lesions (29.3%/s). Data Conclusion: The MS, TTE, and AVI can be used to evaluate breast lesions with clinical performance equivalent to that of conventional kinetic analysis. These parameters vary among histologies. Level of Evidence: 3 Technical Efficacy: Stage 2

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Section: Methodsmentioning

confidence: 99%

New parameters of ultrafast dynamic contrast‐enhanced breast MRI using compressed sensing

Honda

Kataoka

Onishi

et al. 2019

Magnetic Resonance Imaging

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“…CS reconstruction parameters were as follows: λ (regularization parameter), 0.002; number of iterations, 30. These parameters were chosen because they provided enough signal‐to‐noise ratio and contrast through experimental assessment by Sagawa et al…”

Section: Methodsmentioning

confidence: 99%

“…CS reconstruction parameters were as follows: k (regularization parameter), 0.002; number of iterations, 30. These parameters were chosen because they provided enough signal-to-noise ratio and contrast through experimental assessment by Sagawa et al 27 UF-DCE MRI was performed in the very early phase instead of the 1st initial phase of the standard clinical protocol (C-DCE MRI), while the 2nd initial phase of the C-DCE MRI was performed as usual. CE MRI was performed in the following order ( Fig.…”

Section: Mri Protocolsmentioning

confidence: 99%

Ultrafast dynamic contrast‐enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veins

Onishi

Kataoka

Kanao

et al. 2017

Magnetic Resonance Imaging

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Purpose: To evaluate the feasibility of ultrafast dynamic contrast-enhanced (UF-DCE) magnetic resonance imaging (MRI) with compressed sensing (CS) for the separate identification of breast arteries/veins and perform temporal evaluations of breast arteries and veins with a focus on the association with ipsilateral cancers. Materials and Methods: Our Institutional Review Board approved this study with retrospective design. Twenty-five female patients who underwent UF-DCE MRI at 3T were included. UF-DCE MRI consisting of 20 continuous frames was acquired using a prototype 3D gradient-echo volumetric interpolated breath-hold sequence including a CS reconstruction: temporal resolution, 3.65 sec/frame; spatial resolution, 0.9 3 1.3 3 2.5 mm. Two readers analyzed 19 maximum intensity projection images reconstructed from subtracted images, separately identified breast arteries/veins and the earliest frame in which they were respectively visualized, and calculated the time interval between arterial and venous visualization (A-V interval) for each breast. Results: In total, 49 breasts including 31 lesions (breast cancer, 16; benign lesion, 15) were identified. In 39 of the 49 breasts (breasts with cancers, 16; breasts with benign lesions, 10; breasts with no lesions, 13), both breast arteries and veins were separately identified. The A-V intervals for breasts with cancers were significantly shorter than those for breasts with benign lesions (P 5 0.043) and no lesions (P 5 0.007). Conclusion: UF-DCE MRI using CS enables the separate identification of breast arteries/veins. Temporal evaluations calculating the time interval between arterial and venous visualization might be helpful in the differentiation of ipsilateral breast cancers from benign lesions. Level of Evidence: 3 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2018;47:97-104. B reast magnetic resonance imaging (MRI) has become an established modality for the identification of breast cancer with high sensitivity (90-100%). [1][2][3][4][5][6][7] The specificity of MR, however, varies widely across studies (65-97%) 1-5 and remains only moderate with 72-75% pooled specificity in meta-analyses. 6,7 The diagnosis of breast MRI is mainly based on morphological evaluation and kinetic curve assessment in clinical practice. 8,9 As a completely different approach to diagnose breast cancer, previous studies have demonstrated an increased breast vascularity associated with ipsilateral breast cancer on MR angiograms generated from conventional dynamic contrast- enhanced (C-DCE) MRI. 10-17 Possible mechanisms for this observation include decreased flow resistance in tumor vessels, high tumor metabolism, and angiogenic stimulation of the entire breast harboring the tumor. 10,12 One of the limitations in these previous reports was the limited temporal resolution. On C-DCE MRI, it is not possible to differentiate breast arteries from veins because of the long scan time (60-120 sec) required for acceptable spatial resolution (in-plane pixel size, 1.0 3 1.0 mm; through-plane...

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“…Repetitive sampling is also much easier for imaging than a biopsy, and imaging data can be dynamically obtained in some cases in the order of seconds to milliseconds. 6 , 7 In addition, QIBs may enable the detection of a subclinical presentation of disease that is too subtle to be detected by human eyes 8 ; this leads to a better outcome for patients than when disease is detected after the clinical presentation is recognized. Reliable QIBs can also help foster the development of medical products in regulatory settings.…”

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confidence: 99%

Variability and Standardization of Quantitative Imaging

et al. 2020

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Radiological images have been assessed qualitatively in most clinical settings by the expert eyes of radiologists and other clinicians. On the other hand, quantification of radiological images has the potential to detect early disease that may be difficult to detect with human eyes, complement or replace biopsy, and provide clear differentiation of disease stage. Further, objective assessment by quantification is a prerequisite of personalized/precision medicine. This review article aims to summarize and discuss how the variability of quantitative values derived from radiological images are induced by a number of factors and how these variabilities are mitigated and standardization of the quantitative values are achieved. We discuss the variabilities of specific biomarkers derived from magnetic resonance imaging and computed tomography, and focus on diffusion-weighted imaging, relaxometry, lung density evaluation, and computer-aided computed tomography volumetry. We also review the sources of variability and current efforts of standardization of the rapidly evolving techniques, which include radiomics and artificial intelligence.

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Impact of the Number of Iterations in Compressed Sensing Reconstruction on Ultrafast Dynamic Contrast-enhanced Breast MR Imaging

Cited by 16 publications

References 38 publications

New parameters of ultrafast dynamic contrast‐enhanced breast MRI using compressed sensing

New parameters of ultrafast dynamic contrast‐enhanced breast MRI using compressed sensing

Ultrafast dynamic contrast‐enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veins

Variability and Standardization of Quantitative Imaging

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