Literature DB >> 27981485

1H-MR spectroscopy of suspicious breast mass lesions at 3T: a clinical experience.

Stefania Montemezzi1, Carlo Cavedon2, Lucia Camera3, Gabriele Meliadò2, Francesca Caumo3, Ilaria Baglio3, Francesco Sardanelli4.   

Abstract

OBJECTIVES: To test 3T proton magnetic resonance spectroscopy (1H-MRS) for breast mass lesions.
METHODS: Patients with BI-RADS 4-5 lesions at mammography/ultrasound were prospectively enrolled. After contrast-enhanced breast MRI, single-voxel MRS (point-resolved volume selection, PRESS); pencil-beam shimming; volume of interest 1 cm3; TR/TE = 3000/135 ms) was performed. Spectra were considered reliable if the full width at half maximum (FWHM) of the water peak was ≤45 Hz. A signal-to-noise ratio of the total choline (tCho) peak at 3.21 ppm ≥2 was used as cutoff for malignancy. All lesions underwent needle sampling. Final pathology was available for all malignant lesions; for benign lesions the reference standard was final pathology or at least 1-year negative follow-up.
RESULTS: Reliable spectra were obtained in 115/127 lesions (91%), with a mean FWHM of 32.4 Hz (range 8-45 Hz). A tCho peak SNR ≥2 was detected in 66 malignant lesions (62 invasive cancers; 4 ductal carcinoma in situ) and in 3 benign lesions. Excluding lesions located ≤1 cm from the skin (n = 3) or pectoral muscle (n = 11), sensitivity was 65/73 [89%, 95% confidence interval (CI): 80-95%], and specificity 25/28 (89%) (95% CI: 72-98%). Considering only invasive cancers, sensitivity reached 61/68 (90%, 95% CI: 81-96%). MRS additional time was 8 min.
CONCLUSIONS: When lesions close to the skin or pectoral muscle are excluded, 3T 1H-MRS of mass lesions ≥1 cm showed a high diagnostic performance, however, insufficient to avoid needle biopsy.

Entities:  

Keywords:  Breast; Breast cancer; Magnetic resonance imaging; Proton magnetic resonance spectroscopy (1H-MRS)

Mesh:

Substances:

Year:  2016        PMID: 27981485     DOI: 10.1007/s11547-016-0713-7

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  35 in total

1.  False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study.

Authors:  Pascal A T Baltzer; Matthias Benndorf; Matthias Dietzel; Mieczyslaw Gajda; Ingo B Runnebaum; Werner A Kaiser
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

2.  Diagnostic performance of ADC for Non-mass-like breast lesions on MR imaging.

Authors:  Tsugumi Imamura; Ichiro Isomoto; Eijun Sueyoshi; Hiroshi Yano; Tatsuya Uga; Kuniko Abe; Tomayoshi Hayashi; Sumihisa Honda; Takuma Yamaguchi; Masataka Uetani
Journal:  Magn Reson Med Sci       Date:  2010       Impact factor: 2.471

3.  Strategies for shimming the breast.

Authors:  Nimrod Maril; Christopher M Collins; Robert L Greenman; Robert E Lenkinski
Journal:  Magn Reson Med       Date:  2005-11       Impact factor: 4.668

4.  Feasibility of MR spectroscopy for characterizing malignant breast lesions using a clinical 3-T scanner.

Authors:  Hyeon-Man Baek; Yun-Ju Lee
Journal:  Breast Cancer       Date:  2014-01-04       Impact factor: 4.239

5.  A high spatial resolution in vivo 1H magnetic resonance spectroscopic imaging technique for the human breast at 3 T.

Authors:  Jiani Hu; Wenzheng Feng; Jia Hua; Quan Jiang; Yang Xuan; Tao Li; E Mark Haacke
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

6.  Characterization of neoplastic and normal human breast tissues with in vivo (1)H MR spectroscopy.

Authors:  K A Kvistad; I J Bakken; I S Gribbestad; B Ehrnholm; S Lundgren; H E Fjøsne; O Haraldseth
Journal:  J Magn Reson Imaging       Date:  1999-08       Impact factor: 4.813

7.  Fine-needle biopsy specimens of benign breast lesions distinguished from invasive cancer ex vivo with proton MR spectroscopy.

Authors:  W B Mackinnon; P A Barry; P L Malycha; D J Gillett; P Russell; C L Lean; S T Doran; B H Barraclough; M Bilous; C E Mountford
Journal:  Radiology       Date:  1997-09       Impact factor: 11.105

8.  Determination of choline concentration in breast lesions: quantitative multivoxel proton MR spectroscopy as a promising noninvasive assessment tool to exclude benign lesions.

Authors:  Monique D Dorrius; Rudolf M Pijnappel; Marijke C Jansen-van der Weide; Liesbeth Jansen; Peter Kappert; Matthijs Oudkerk; Paul E Sijens
Journal:  Radiology       Date:  2011-04-01       Impact factor: 11.105

9.  Three-dimensional proton MR spectroscopic imaging at 3 T for the differentiation of benign and malignant breast lesions.

Authors:  Stephan Gruber; Bogumil-Krystian Debski; Katja Pinker; Marek Chmelik; Guenther Grabner; Thomas Helbich; Siegfried Trattnig; Wolfgang Bogner
Journal:  Radiology       Date:  2011-10-13       Impact factor: 11.105

Review 10.  In vivo proton magnetic resonance spectroscopy of breast cancer: a review of the literature.

Authors:  Jonathan K P Begley; Thomas W Redpath; Patrick J Bolan; Fiona J Gilbert
Journal:  Breast Cancer Res       Date:  2012-04-19       Impact factor: 6.466

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  6 in total

1.  Preoperative loco-regional staging of invasive lobular carcinoma with contrast-enhanced digital mammography (CEDM).

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Journal:  Radiol Med       Date:  2019-11-26       Impact factor: 3.469

Review 2.  Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.

Authors:  Kanchan Sonkar; Vinay Ayyappan; Caitlin M Tressler; Oluwatobi Adelaja; Ruoqing Cai; Menglin Cheng; Kristine Glunde
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3.  A simple classification system (the Tree flowchart) for breast MRI can reduce the number of unnecessary biopsies in MRI-only lesions.

Authors:  Ramona Woitek; Claudio Spick; Melanie Schernthaner; Margaretha Rudas; Panagiotis Kapetas; Maria Bernathova; Julia Furtner; Katja Pinker; Thomas H Helbich; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2017-03-08       Impact factor: 5.315

4.  Multiparameter MRI Model With DCE-MRI, DWI, and Synthetic MRI Improves the Diagnostic Performance of BI-RADS 4 Lesions.

Authors:  Shi Yun Sun; Yingying Ding; Zhuolin Li; Lisha Nie; Chengde Liao; Yifan Liu; Jia Zhang; Dongxue Zhang
Journal:  Front Oncol       Date:  2021-10-15       Impact factor: 6.244

Review 5.  Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism.

Authors:  Uma Sharma; Naranamangalam R Jagannathan
Journal:  Metabolites       Date:  2022-03-27

Review 6.  In vivo MR spectroscopy for breast cancer diagnosis.

Authors:  Uma Sharma; Naranamangalam Raghunathan Jagannathan
Journal:  BJR Open       Date:  2019-07-02
  6 in total

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