Quantitative correlation between 1H MRS and dynamic contrast-enhanced MRI of human breast cancer

Baek, Hyeon‐Man; Yu, Hua; Chen, Jeon‐Hor; Nalcioğlu, Orhan; Su, Min‐Ying

doi:10.1016/j.mri.2007.10.002

Cited by 39 publications

(52 citation statements)

References 39 publications

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“…It was sup po sed to be ba sed on two fac tors; firstly Cho is as so ci a ted with ac ti ve cell rep li ca ti on, and se condly tu mor growth re qu i res ac ti ve an gi o ge ne sis, re sul ting in le aky im ma tu re ves sels (e.g., with wi de en dot he li al junc ti ons). 17 Cho pe ak is not se en in bre ast abs cesses. 18 Alt hough IGM le si ons de mons tra te res tric ted dif fu si on mi mic king ma lig nancy, Cho pe ak is not en co un tered (Fi gu re 11).…”

Section: Dif Fu Si On Mri and Mr Spec Tros Copymentioning

confidence: 99%

Radiological Findings of Idiopathic Granulomatous Mastitis: Review

Anık¹

2010

Turkiye Klinikleri J Med Sci

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Section: Dif Fu Si On Mri and Mr Spec Tros Copymentioning

confidence: 99%

Radiological Findings of Idiopathic Granulomatous Mastitis: Review

Anık¹

2010

Turkiye Klinikleri J Med Sci

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“…Enhancement curves by dynamic MRI (DMRI) are known to be useful for detecting or monitoring breast cancer (4,12,13). In addition to MRI, magnetic resonance spectroscopy (MRS) is becoming increasingly attractive for the detection or monitoring of breast cancer (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24). MRS detects elevated levels of cholinecontaining compounds in breast cancer tissue, which yield a signal at a chemical shift of 3.2 ppm (25).…”

Section: Introductionmentioning

confidence: 99%

Choline by magnetic spectroscopy and dynamic contrast enhancement curve by magnetic resonance imaging in neoadjuvant chemotherapy for invasive breast cancer

Murata¹

2008

Mol Med Rep

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Abstract. This study investigated the relationship between choline by magnetic resonance spectroscopy (MRS) and late enhancement curves by dynamic magnetic resonance imaging (DMRI) in determining therapeutic response to neoadjuvant chemotherapy (NAC) among invasive breast cancer patients. Subjects comprised 21 women (22 breasts) with biopsyconfirmed invasive breast cancer (mean age 54 years) who underwent MRS with choline and gadolinium-enhanced DMRI at 1.5 T before and after NAC. Choline signals on MRS were classified into 2 patterns: choline-positive or cholinenegative, while late enhancement curves were classified as 'plateau' or 'washout' (type A), or 'persistent' (type B) according to the consensus of 2 radiologists. Maximum tumor diameters and clinical tumor reduction rates were assessed by MRI. Before NAC, choline-positive results were found in all 22 tumors, 21 of which were type A and 1 of which was type B. After NAC, a change from choline-positive to cholinenegative was observed with MRS in 11 tumors, while another 11 remained choline-positive. According to DMRI, enhancement curves changed from type A to type B in 14 tumors, remained type A in 7 tumors, and remained type B in 1 tumor. Tumor reduction rates were significantly greater for cholinenegative tumors than for choline-positive tumors after NAC (p=0.0115). Following NAC, no significant correlation was noted between enhancement curves and reduction rates (p=0.1210), although a significant correlation was noted between enhancement curves and choline signals (p=0.0014). Changes in choline signals as noted using MRS might offer advantages over changes in enhancement curves by DMRI when evaluating response to NAC in terms of the tumor reduction rate in invasive breast cancer. IntroductionAmong conventional modalities such as ultrasonography, mammography and computed tomography (1-3), magnetic resonance imaging (MRI) has priority for the detection of breast cancer and for the evaluation of breast cancer response to neoadjuvant chemotherapy (NAC) (4-11). Enhancement curves by dynamic MRI (DMRI) are known to be useful for detecting or monitoring breast cancer (4,12,13). In addition to MRI, magnetic resonance spectroscopy (MRS) is becoming increasingly attractive for the detection or monitoring of breast cancer (14-24). MRS detects elevated levels of cholinecontaining compounds in breast cancer tissue, which yield a signal at a chemical shift of 3.2 ppm (25). Choline by MRS and enhancement curves by DMRI represent common methods for dealing with non-morphological diagnostic parameters. The present study therefore assessed the correlation between MRS and enhancement curves from DMRI in determining response to NAC. Materials and methodsPatients. The present study was performed at our institution between January 2007 and Feburary 2008. Subjects comprised 21 patients with invasive ductal breast carcinoma (unilateral n=20; bilateral n=1) diagnosed by ultrasonography-guided fine needle biopsy. Mean subject age was 54 years (range 40-67 years).Neoadjuvant chemo...

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“…Several chemical resonances contribute to this observed peak, including phosphocholine (3.21 ppm), glycerophosphocholine (3.22 ppm), and free choline (3.19 ppm), as well as contributions from taurine (3.25 ppm), myo-inositol (3.27 ppm), phosphoethanolamine (3.23 ppm), and glucose (3.42 ppm) (10). The feasibility of combined applications of DCE-MRI and 1D MRS has been examined to determine the diagnostic improvement for breast cancer detection in several studies, which suggest MRS may be a promising technique when DCE-MRI alone cannot make a differential diagnosis (14)(15)(16)(17).…”

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confidence: 99%

Combined DCE‐MRI and single‐voxel 2D MRS for differentiation between benign and malignant breast lesions

et al. 2010

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Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and proton (1H) magnetic resonance spectroscopy (MRS) provide structural and biochemical information, including vascular volume, vascular permeability and tissue metabolism. In this study, we performed analysis of the enhancement characteristic from DCE-MRI and the biochemical information provided by two-dimensional (2D) Localized Correlated Spectroscopy (L-COSY) MRS to determine the sensitivity and specificity of using DCE-MRI alone compared to the combination with 2D MRS. The metabolite ratios from the 2D MRS spectra were analyzed using multivariate statistical analyses to determine a method capable of automatic separation of the patient cohort into malignant and benign lesions. A total of 24 lesions were studied with 21 diagnosed accurately using the enhancement characteristics alone resulting in sensitivity and specificity of 100% and 73%, respectively. Analysis of the 2D MRS data demonstrated a significant difference (p < 0.05) in 12 of 18 metabolite ratios analyzed for malignant compared to benign lesions. Previous research focused on utilizing the choline signal to noise ratio (SNR) as a marker for malignancy has been verified using 2D MRS in this study. Using Fisher's linear discriminant test using water (WAT)/olefinic fat diagonal (UFD), choline (CHO)/fat (FAT), CHO/UFD, and FAT/methyl fat (FMETD) as predictors the sensitivity and specificity increased to 92% and 100%, respectively. Using the Classification and Regression Tree (CART) statistical analysis the resulting sensitivity and specificity were 100% and 91%, respectively, with the most accurate predictor for differentiating malignant and benign determined to be FAT/FMETD. The cases within the study that presented a indeterminate diagnosis using DCE-MRI alone were able to be accurately diagnosed when the metabolic information from 2D MRS was incorporated. The results suggest improved breast cancer detection through the combination of morphological and enhancement information from DCE-MRI and metabolic information from 2D MRS.

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Quantitative correlation between 1H MRS and dynamic contrast-enhanced MRI of human breast cancer

Cited by 39 publications

References 39 publications

Radiological Findings of Idiopathic Granulomatous Mastitis: Review

Radiological Findings of Idiopathic Granulomatous Mastitis: Review

Choline by magnetic spectroscopy and dynamic contrast enhancement curve by magnetic resonance imaging in neoadjuvant chemotherapy for invasive breast cancer

Combined DCE‐MRI and single‐voxel 2D MRS for differentiation between benign and malignant breast lesions

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