Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions

Liu, Li; Yin, Bo; Shek, Kawai; Geng, Daoying; Lu, Yiping; Wen, Junmiao; Kuai, Xinping; Peng, Weijun

doi:10.1177/0300060517721071

Cited by 52 publications

(61 citation statements)

References 22 publications

(51 reference statements)

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“…Literature suggests that change in relaxation times could be useful in predicting early response to chemotherapy and may reflect changes in tumor tissue properties before a measurable decrease in tumor size (10,11,21,22). MR fingerprinting-relaxometry may potentially also be useful in further differentiation of benign and malignant lesions that show similar enhancement patterns with conventional imaging methods (23). Although all the T1 and T2 measurements in our current study were performed before contrast administration, MR fingerprinting can also be performed after contrast administration and the difference in pre-and postcontrast measurements could provide further information about breast lesions than those from precontrast measurements alone.…”

Section: Discussionmentioning

confidence: 92%

Three-dimensional MR Fingerprinting for Quantitative Breast Imaging

et al. 2019

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To develop a fast three-dimensional method for simultaneous T1 and T2 quantification for breast imaging by using MR fingerprinting. Materials and Methods: In this prospective study, variable flip angles and magnetization preparation modules were applied to acquire MR fingerprinting data for each partition of a three-dimensional data set. A fast postprocessing method was implemented by using singular value decomposition. The proposed technique was first validated in phantoms and then applied to 15 healthy female participants (mean age, 24.2 years 6 5.1 [standard deviation]; range, 18-35 years) and 14 female participants with breast cancer (mean age, 55.4 years 6 8.8; range, 39-66 years) between March 2016 and April 2018. The sensitivity of the method to B 1 field inhomogeneity was also evaluated by using the Bloch-Siegert method. Results: Phantom results showed that accurate and volumetric T1 and T2 quantification was achieved by using the proposed technique. The acquisition time for three-dimensional quantitative maps with a spatial resolution of 1.6 3 1.6 3 3 mm 3 was approximately 6 minutes. For healthy participants, averaged T1 and T2 relaxation times for fibroglandular tissues at 3.0 T were 1256 msec 6 171 and 46 msec 6 7, respectively. Compared with normal breast tissues, higher T2 relaxation time (68 msec 6 13) was observed in invasive ductal carcinoma (P , .001), whereas no statistical difference was found in T1 relaxation time (1183 msec 6 256; P = .37). Conclusion: A method was developed for breast imaging by using the MR fingerprinting technique, which allows simultaneous and volumetric quantification of T1 and T2 relaxation times for breast tissues.

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Section: Discussionmentioning

confidence: 92%

Three-dimensional MR Fingerprinting for Quantitative Breast Imaging

et al. 2019

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“…As the basic intrinsic properties of MRI physics, quantitative T1 and T2 mapping have attracted increasing attention in recent years due to their potential utility [14,15]. Moreover, previous studies have demonstrated that quantitative MRI has the potential to diagnose breast cancer [11,[16][17][18]. However, the long acquisition time of conventional technologies has limited their clinical application.…”

Section: Introductionmentioning

confidence: 99%

The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI

Meng

et al. 2020

Cancer Imaging

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Background Previous studies have indicated that quantitative MRI (qMR) is beneficial for diagnosis of breast cancer. As a novel qMR technology, synthetic MRI (syMRI) may be advantageous by offering simultaneous generation of T1 and T2 mapping in one scan within a few minutes and without concern to the deposition of the gadolinium contrast agent in cell nucleus. In this study, the potential of quantitative mapping derived from Synthetic MRI (SyMRI) to diagnose breast cancer was investigated. Methods From April 2018 to May 2019, a total of 87 patients with suspicious breast lesions underwent both conventional and SyMRI before treatment. The quantitative metrics derived from SyMRI, including T1 and T2 values, were measured in breast lesions. The diagnostic performance of SyMRI was evaluated with unpaired Student’s t-tests, receiver operating characteristic curve analysis and multivariate logistic regression analysis. The AUCs of quantitative values were compared using Delong test. Results Among 77 patients who met the inclusion criteria, 48 were diagnosed with histopathological confirmed breast cancers, and the rest had benign lesions. The breast cancers showed significantly higher T1 (1611.61 ± 215.88 ms) values and lower T2 (80.93 ± 7.51 ms) values than benign lesions. The area under the ROC curve (AUC) values were 0.931 (95% CI: 0.874–0.989) and 0.883 (95% CI: 0.810–0.956) for T1 and T2 maps, respectively, in diagnostic discrimination between breast cancers and benign lesions. A slightly increased AUC of 0.978 (95% CI: 0.915–0.993) was achieved by combining those two relaxation-based quantitative metrics. Conclusion In conclusion, our preliminary study showed that the quantitative T1 and T2 values obtained by SyMRI could distinguish effectively between benign and malignant breast lesions, and T1 relaxation time showed the highest diagnostic efficiency. Furthermore, combining the two quantitative relaxation metrics further improved their diagnostic performance.

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“…Measurement of T 1 and T 2 relaxation times can provide additional information about normal and diseased breast tissue . Previous studies on breast relaxometry have observed significant differences in T 1 and T 2 relaxation times between normal fibroglandular breast tissue and benign and malignant breast tumors . Changes in T 2 relaxation time has also been used to characterize response to chemotherapy in breast cancers .…”

mentioning

confidence: 99%

“…4,5 Previous studies on breast relaxometry have observed significant differences in T 1 and T 2 relaxation times between normal fibroglandular breast tissue and benign and malignant breast tumors. 5,6 Changes in T 2 relaxation time has also been used to characterize response to chemotherapy in breast cancers. [7][8][9] However, the T 1 and T 2 values reported for normal breast tissue show a wide variation due to the differences in mapping techniques and field strengths.…”

mentioning

confidence: 99%

Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue

Panda

Chen

Ropella-Panagis

et al. 2019

Magnetic Resonance Imaging

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Background The 3D breast magnetic resonance fingerprinting (MRF) technique enables T1 and T2 mapping in breast tissues. Combined repeatability and reproducibility studies on breast T1 and T2 relaxometry are lacking. Purpose To assess test–retest and two‐visit repeatability and interscanner reproducibility of the 3D breast MRF technique in a single‐institution setting. Study Type Prospective. Subjects Eighteen women (median age 29 years, range, 22–33 years) underwent Visit 1 scans on scanner 1. Ten of these women underwent test–retest scan repositioning after a 10‐minute interval. Thirteen women had Visit 2 scans within 7–15 days in same menstrual cycle. The remaining five women had Visit 2 scans in the same menstrual phase in next menstrual cycle. Five women were also scanned on scanner 2 at both visits for interscanner reproducibility. Field Strength/Sequence Two 3T MR scanners with the 3D breast MRF technique. Assessment T1 and T2 MRF maps of both breasts. Statistical Tests Mean T1 and T2 values for normal fibroglandular tissues were quantified at all scans. For variability, between and within‐subjects coefficients of variation (bCV and wCV, respectively) were assessed. Repeatability was assessed with Bland–Altman analysis and coefficient of repeatability (CR). Reproducibility was assessed with interscanner coefficient of variation (CoV) and Wilcoxon signed‐rank test. Results The bCV at test–retest scans was 9–12% for T1, 7–17% for T2, wCV was <4% for T1, and <7% for T2. For two visits in same menstrual cycle, bCV was 10–15% for T1, 13–17% for T2, wCV was <7% for T1 and <5% for T2. For two visits in the same menstrual phase, bCV was 6–14% for T1, 15–18% for T2, wCV was <7% for T1, and <9% for T2. For test–retest scans, CR for T1 and T2 were 130 msec and 11 msec. For two visit scans, CR was <290 msec for T1 and 10–14 msec for T2. Interscanner CoV was 3.3–3.6% for T1 and 5.1–6.6% for T2, with no differences between interscanner measurements (P = 1.00 for T1, P = 0.344 for T2). Data Conclusion 3D breast MRF measurements are repeatable across scan timings and scanners and may be useful in clinical applications in breast imaging. Level of Evidence: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1133–1143.

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Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions

Cited by 52 publications

References 22 publications

Three-dimensional MR Fingerprinting for Quantitative Breast Imaging

Three-dimensional MR Fingerprinting for Quantitative Breast Imaging

The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI

Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue

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