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Changes in total choline concentration in the breast of healthy fertile young women in relation to menstrual cycle or use of oral contraceptives: a 3-T 1H-MRS study

European Radiology Experimental volume 2, Article number: 43 (2018) Cite this article

Abstract

Background

To evaluate changes in total choline (tCho) absolute concentration ([tCho]) in the breast of healthy fertile women in relation to menstrual cycle (MC) or use of oral contraceptives (OC).

Methods

After institutional review board approval, we prospectively evaluated 40 healthy fertile volunteers: 20 with physiological MC, aged 28 ± 3 years (mean ± standard deviation; nOC group); 20 using OC, aged 26 ± 3 years (OC group). Hormonal assays and water-suppressed single-voxel 3-T proton magnetic resonance spectroscopy (1H-MRS) were performed on MC days 7, 14, and 21 in the nOC group and only on MC day 14 in the OC group. [tCho] was measured versus an external phantom. Mann-Whitney U test and Spearman coefficient were used; data are given as median and interquartile interval.

Results

All spectra had good quality. In the nOC group, [tCho] (mM) did not change significantly during MC: 0.8 (0.3–2.4) on day 7, 0.9 (0.4–1.2) on day 14, and 0.4 (0.2–0.8) on day 21 (p = 0.963). In the OC group, [tCho] was 0.7 (0.2–1.7) mM. The between-groups difference was not significant on all days (p ≥ 0.411). All hormones except prolactin changed during MC (p ≤ 0.024). In the OC group, [tCho] showed a borderline correlation with estradiol (r = 0.458, p = 0.056), but no correlation with other hormones (p ≥ 0.128). In the nOC group, [tCho] negatively correlated with prolactin (r = -0.587, p = 0.006) on day 7; positive correlation was found with estradiol on day 14 (r = 0.679, p = 0.001).

Conclusions

A tCho peak can be detected in the normal mammary gland using 3-T 1H-MRS. The [tCho] in healthy volunteers was 0.4–0.9 mM, constant over the MC and independent of OC use.

Key points

  • Using 3-T magnetic resonance spectroscopy, a total choline peak may be detected in normal breast tissue.

  • Absolute total choline concentration does not change with menstrual cycle when not using contraceptives.

  • Use of oral contraceptives does not impact on absolute total choline concentration.

  • No clear correlation exists between absolute total choline concentration and sex hormones.

Background

Proton magnetic resonance spectroscopy (1H-MRS) allows non-invasive metabolic imaging analyses of biologic tissues and organs, including the human breast [1,2,3,4,5], and may increase the positive predictive value of magnetic resonance imaging (MRI) when used for breast cancer detection [3, 6, 7]. Systematic reviews of 1H-MRS of breast lesions have shown a pooled sensitivity between 71% and 74% and a pooled specificity between 78% and 88% [8,9,10,11,12].

The role of 1H-MRS in breast examination is typically based on the detection of the so-called total-choline (tCho) peak, which is mainly the result of resonances between 3.14 and 3.34 ppm arising from the trimethylammonium headgroups of water-soluble choline-containing metabolites, i.e., glycerophosphocholine, phosphocholine, and free choline [12]. Increased tCho concentrations ([tCho]) up to 2.2 mM (range of 0.0–8.5 mM) have been reported at 4.0 T in cancer lesions [2] and are mostly attributed to increases in phosphocholine as a consequence of increased metabolic turnover of phospholipid precursors and derivatives. Using optimised pre-processing, Stanwell et al. [13] have also shown the capability at 1.5 T to distinguish phosphocholine resonance from the tCho large peak, although this result was not confirmed by other authors.

The value of tCho-based MRS as an early predictor of tumour response to neoadjuvant chemotherapy has been proven. A 2009 1.5-T 1H-MRS study by Baek et al. [14] assessed 35 breast cancer patients from before neoadjuvant chemotherapy to the first follow-up assessment after one to two cycles of doxorubicin and cyclophosphamide and a second assessment after another two cycles. The authors reported that, at second follow-up, patients with a pathologically complete response had a significantly greater reduction in [tCho] relative to the change in tumour size than those who had an incomplete response.

Little is still known about the tCho levels in normal mammary gland. According to studies on excised human tissues and cell cultures, the biochemical profile of normal gland is considered similar to that of benign lesions, in which substantially lower tCho levels are usually detected compared to cancer lesions [15].

During the menstrual cycle, breast tissues undergo changes, including proliferation, differentiation, and regression [16]. These changes were demonstrated to produce variations of background parenchymal enhancement on contrast-enhanced MRI [17, 18]. In particular, background enhancement is lower in the follicular than in the luteal phase [19]. Thus, it is highly recommended to schedule contrast-enhanced breast MRI during the follicular phase (from day 5 to day 12 after the start of the menstrual cycle) to avoid an assumed risk of false-positive diagnoses [17]. Importantly, no changes in MRI parameters have been reported in young women using oral contraceptives (OC) [20].

As tCho may be used as a biomarker of breast cancer, it is important to assess whether its 1H-MRS resonance normally changes during the menstrual cycle, as these changes could act as a confounding factor in diagnosis. Moreover, it is also important to evaluate the effect of OC use on the tCho level in the normal breast.

Thus, our aims were: 1) to measure [tCho] in the normal mammary gland of young healthy women and to determine whether it varies during the menstrual cycle; and 2) to compare women not using OC with those using OC.

Methods

Study design and population

This prospective longitudinal study was approved by our institutional review board and written informed consent was obtained from all participants.

A total of 40 healthy fertile volunteers without family history of breast or ovarian cancer entered this study. All women underwent initial clinical examination and breast ultrasound to check for compliance with inclusion criteria. Exclusion criteria were: previous breast surgery, recent breast feeding, presence of breast nodules or cysts larger than 1 cm, and contraindications to undergo MRI.

Volunteers were divided into two groups according to whether they had a physiological menstrual cycle or they used OC, as follows: a group called “nOC” included 20 women with physiological menstrual cycle, aged 28 ± 3 years (mean ± standard deviation; median 27); a group called “OC” included 20 women using OC, aged 26 ± 3 years (median 26). The mean body mass index ± standard deviation was 21 ± 3 kg/m2 for the nOC group and 20 ± 2 kg/m2 for the OC group; the mean age at menarche ± standard deviation was 12 ± 1 year and 13 ± 1 year, respectively.

Hormonal assay

Each participant underwent a hormonal assay using a radioimmunoassay technique based on labeled antigen–antibody binding [21]. Estradiol, progesterone, follicle stimulating hormone, luteinising hormone, and prolactin were measured. Women in the nOC group underwent hormonal assay three times, on days 7, 14, and 21 of the menstrual cycle; women in the OC group underwent hormonal assay only once, on day 14.

1H-MRS protocol

As for the hormonal assay, women in the nOC group underwent 1H MRS three times, on days 7, 14, and 21 of the menstrual cycle; women in the OC group underwent 1H MRS only once, on day 14.

All MRS studies were performed using a 3-T unit (General Electric Healthcare, Discovery MR 750, Little Chalfont, UK). Automated shimming was performed before each examination. Water suppressed single-voxel MRS was acquired using a point-resolved MRS sequence (repetition time 1,500 ms, echo time 135 ms, number of excitations 82) and a bilateral dedicated eight-channel breast coil with the patient in the prone position. A repetition time of 1,500 ms was chosen to shorten the acquisition time and avoid participants’ movement. An isotropic voxel of 2 × 2 × 2 cm3 was placed on the most homogeneous part of the mammary gland, thus avoiding partial-volume effects (Fig. 1).

Fig. 1
figure1

Placement of the volume of interest for spectrum acquisition into the most homogeneous part of the gland

Full size image

All spectra were processed by a physicist with 5 years of experience using the software provided by the manufacturer (SAGE, v07, General Electric Healthcare, Little Chalfont, UK). After filtering and baseline and phase correction, the peak amplitude of tCho (centred at about 3.2 ppm) was measured in arbitrary units (au).

The formula by Bolan [22] was used to correct the peak amplitude of tCho (tCho'):

$$ {tCho}^{\hbox{'}}=\frac{tCho}{f_{gain}{f}_{coil}{f}_{T_1}{f}_{T_2}} $$

with correction factors:

$$ {f}_{gain}= gain/{gain}_0 $$
$$ {f}_{coil}={B}_1/{B}_{1,0} $$
$$ {f}_{T_1}\approx 1-{e}^{-\frac{TR}{T_1}} $$
$$ {f}_{T_2}={e}^{-\frac{TE}{T_2}} $$

where gain is the receiver gain and B1 is the local amplitude of the excitation radiofrequency field, both retrieved from DICOM metadata. T1 and T2 relaxation times of choline were taken from the literature as being 870 ms and 400 ms, respectively. After these corrections are made, the signal amplitude is proportional to the number of nuclei in the volume [22].

To quantify the absolute [tCho], expressed as mM, the same MRS protocol and the same fitting procedure were applied once to a commercial phantom containing choline at a known concentration of 2 mM. In general, the corrected signal amplitude A' of a resonance is proportional to the number of nuclei n in the sample: n = ksysA'. The system constant ksys accounts for the system-specific hardware and software. The externally referenced [tCho] was then expressed as:

$$ \left[\mathrm{tCho}\right]=\frac{tCho}{f_{gain}{f}_{coil}{f}_{T_1}{f}_{T_2}}\frac{k_{sys}}{\rho_{ph}} $$

where ρph was the phantom density, assumed to be 1 kg/L.

Statistical analysis

The statistical analysis was performed using the SPSS software package (SPSS IBM inc. v19, Chicago, IL, USA). A p value < 0.05 was regarded as significant.

Considering the small sample size, continuous tCho data were reported as median and interquartile interval (25th–75th percentile) and non-parametric statistics were adopted.

Age, body mass index, and age at menarche were presented as mean ± standard deviation; differences between the two groups were ascertained using the Student t test.

For the nOC group, changes over the menstrual cycle of [tCho] and hormones were assessed using the Friedman test. The [tCho] measured in the OC group was compared to [tCho] measured in the nOC group at days 7, 14, and 21 of the menstrual cycle using the Mann-Whitney U test. In both groups, [tCho] was correlated to concentration of hormones using the Spearman correlation coefficient.

Results

Distributions and associations

The two groups were homogeneous in terms of mean age and body mass index (p ≥ 0.250) but women in the nOC group had a slightly lower age at menarche than women in the OC group (12 ± 1 years versus 13 ± 1 years, p = 0.028).

None of the examinations were interrupted and all acquired spectra were of good quality. An example of 1H-MRS obtained in a woman from the OC group is shown in Fig. 2: a clear tCho peak was visible at about 3.2 ppm, for an absolute [tCho] of 0.1 mM. Another example of a woman in the nOC group is shown in Fig. 3, for an absolute [tCho] of 0.6 mM. This sample shows that tCho can be detected and quantified in normal breast tissue at 3 T. The spectrum obtained in the phantom led to ksys of 3.4 × 10-6 mmol/au.

Fig. 2
figure2

1H-MRS of the breast gland in a healthy fertile 26-year-old woman using oral contraceptives. A clear peak of choline-containing compounds (tCho) is visible at about 3.2 ppm, giving an absolute concentration of 0.1 mM Three main resonances are visible at about 0.9 ppm and 1.2 ppm due to lipids as well as at about 4.7 ppm due to unsuppressed water

Full size image
Fig. 3
figure3

1H-MRS of the breast gland in a healthy fertile 24-year-old woman not using oral contraceptives. A clear peak of choline-containing compounds (tCho) is visible at about 3.2 ppm, giving an absolute concentration of 0.6 mM. Three main resonances are visible at about 0.9 ppm and 1.2 ppm due to lipids as well as at about 4.7 ppm due to unsuppressed water

Full size image

In the nOC group, [tCho] did not change significantly during the menstrual cycle. The median [tCho] in the nOC group was 0.8 (0.3–2.4) mM on day 7, 0.9 (0.4–1.2) mM on day 14, and 0.4 (0.2–0.8) mM on day 21, the differences being not statistically significant (p = 0.963). Per comparison, the [tCho] in the OC group (measured once) was 0.7 (0.2–1.7) mM. The difference between the [tCho] measured in the two groups was not statistically significant for all days (p ≥ 0.411).

These data and distributions of hormones are shown in Table 1. All hormones except prolactin showed variations during the menstrual cycle (p ≤ 0.024).

Table 1 Distributions of total choline-containing compounds (tCho), estradiol, progesterone, follicle stimulating hormone (FSH), luteinising hormone (LH), and prolactin in the group of women not using oral contraceptive (nOC) and in the group of women using oral contraceptive (OC)
Full size table

Correlation analysis

In the OC group, [tCho] showed a borderline positive correlation only with estradiol (r = 0.458, p = 0.056); no correlation was found with other hormones (p ≥ 0.128). In the nOC group, [tCho] negatively correlated with prolactin (r = -0.587, p = 0.006) but only on day 7, while a positive correlation was also found with estradiol only on day 14 (r = 0.679, p = 0.001).

Discussion

Most of the previous studies using 1.5-T magnets reported no detectable tCho levels in normal breast gland, except in the case of breast feeding or benign lesions [6, 23, 24]. Higher magnetic field strengths increase the signal-to-noise ratio and spectral resolution of 1H-MRS, thus allowing for a more accurate and more sensitive metabolite quantification as well as use of smaller acquisition voxels [25]. Indeed, using a 3-T magnet we were able to detect and quantify tCho in normal breast gland of young volunteers.

The most important result of this study is the demonstration of a nearly constant absolute [tCho] during the menstrual cycle in women not using OC. This concentration ranged from 0.4 to 0.9 mM without significant temporal variations. During the menstrual cycle, breast gland undergoes cyclic changes culminating in apoptosis. Mitotic activity is higher during the luteal phase because of a synergic role of both estradiol and progesterone with increases in apoptotic levels on day 28, when hormonal levels decrease. Vogel et al. [16] identified five specific phases on the basis of morphologic changes in the mammary stromal and epithelial components: proliferative (days 3–7), follicular phase of differentiation (days 8–14), luteal phase of differentiation (days 15–20), secretory (days 21–27), and menstrual (days 28–2). According to these findings and considering that tCho is a marker of metabolic turnover of phospholipids in cell membranes, we might expect different [tCho] levels between the first and the second half of the menstrual cycle. However, we did not observe any significant difference in [tCho] during the menstrual cycle, although we acknowledge that a higher statistical power, meaning a larger sample, could perhaps demonstrate some variation.

The median [tCho] measured in nOC women (0.4–0.9 mM) substantially overlaps with that obtained by Bolan [22] using internal referencing on a 4-T magnet, who reported a value of 0.66 ± 0.06 mM (mean ± standard deviation) in five healthy volunteers. The data reported by Bolan [22] fall in the middle of our interval together with a small standard deviation, but we should consider that Bolan’s study did not consider the menstrual phase. Thus, it is possible that they did not observe the full spectrum of possible tCho concentrations. Anyway, the close similarity of our and Bolan’s results is an indirect confirmation of the validity of the quantification method that we used.

Another result of this study is the demonstration of a no or negligible impact of OC on [tCho]. In fact, the median [tCho] observed in the OC group falls within the range of values obtained for the nOC group. This finding is in line with another result of this study, that is, the lack of a clear correlation between [tCho] and hormonal levels, apart from some sporadic correlations. In practice, OC impacts on the hormonal status but changes in hormonal levels do not produce significant variations in [tCho].

This pilot study has some limitations. First, 1H-MRS was performed only once in the OC group, under the assumption that [tCho] was constant over the menstrual cycle due to the OC mechanism of ovulation inhibition, which is responsible for stable hormonal levels. Second, even for volunteers who had a regular menstrual cycle, we could not plan MRS examinations on day 1 of the cycle. Thus, these data were missing, preventing us from deeper investigation. Third, as already mentioned, the sample size was small, likely preventing us from observing more subtle variations in [tCho] over the menstrual cycle. A larger study might give deeper insights into this issue. Fourth, we did not correct tCho peak for the coil load and the spatial variation of the coil sensitivity, but we assume that this does not represent a bias.

In conclusion, a tCho peak can be well detected by 3-T 1H MRS in the normal mammary gland. The [tCho] in healthy volunteers is of the order of 0.4–0.9 mM, without significant dependence on the phase of the menstrual cycle and, importantly, on the use of OC.

Abbreviations

1H-MRS:

Proton magnetic resonance spectroscopy

MRI:

Magnetic resonance imaging

nOC:

No OC group

OC:

Oral contraceptives

tCho:

Total choline

References

  1. 1.

    Jacobs MA, Barker PB, Bottomley PA, Bhujwalla Z, Bluemke DA (2004) Proton magnetic resonance spectroscopic imaging of human breast cancer: a preliminary study. J Magn Reson Imaging 19:68–75

  2. 2.

    Meisamy S, Bolan PJ, Baker EH et al (2005) Adding in vivo quantitative 1H MR spectroscopy to improve diagnostic accuracy of breast MR imaging: preliminary results of observer performance study at 4.0 T. Radiology 236:465–475

    Article  Google Scholar 

  3. 3.

    Bartella L, Morris EA, Dershaw DD et al (2006) Proton MR spectroscopy with choline peak as malignancy marker improves positive predictive value for breast cancer diagnosis: Preliminary study. Radiology 239:686–692

    Article  Google Scholar 

  4. 4.

    Sardanelli F, Fausto A, Podo F (2008) MR spectroscopy of the breast. Radiol Med 113:56–64

    CAS  Article  Google Scholar 

  5. 5.

    Sardanelli F, Fausto A, Di Leo G, de Nijs R, Vorbuchner M, Podo F (2009) In vivo proton MR spectroscopy of the breast using the total choline peak integral as a marker of malignancy. AJR Am J Roentgenol 192:1608–1617

  6. 6.

    Katz-Brull R, Lavin PT, Lenkinski RE (2002) Clinical utility of proton magnetic resonance spectroscopy in characterizing breast lesions. J Natl Cancer Inst 94:1197–1203

    CAS  Article  Google Scholar 

  7. 7.

    Mountford C, Ramadan S, Stanwell P, Malycha P (2009) Proton MRS of the breast in the clinical setting. NMR Biomed 22:54–64

    CAS  Article  Google Scholar 

  8. 8.

    Baltzer PA, Dietzel M (2013) Breast lesions: diagnosis by using proton MR spectroscopy at 1.5 and 3.0 T – systematic review and meta-analysis. Radiology 267:735–746

    Article  Google Scholar 

  9. 9.

    Cen D, Xu L (2014) Differential diagnosis between malignant and benign breast lesions using single-voxel proton MRS: a meta-analysis. J Cancer Res Clin Oncol 140:993–1001

    CAS  Article  Google Scholar 

  10. 10.

    Tan J, Xu L, Yao W, Wan Y, Zhou S, Xin SX (2015) In vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis. Tumour Biol 36:345–352

  11. 11.

    Wang X, Wang XJ, Song HS, Chen LH (2015) 1H-MRS evaluation of breast lesions by using total choline signal-to-noise ratio as an indicator of malignancy: a meta-analysis. Med Oncol 32:160

    Article  Google Scholar 

  12. 12.

    Sardanelli F, Carbonaro LA, Montemezzi S, Cavedon C, Trimboli RM (2016) Clinical breast MR using MRS or DWI: who is the winner? Front Oncol 6:217

  13. 13.

    Stanwell P, Gluch L, Clark D et al (2005) Specificity of choline metabolites for in vivo diagnosis of breast cancer using 1H MRS at 1.5 T. Eur Radiol 15:1037–1043

    Article  Google Scholar 

  14. 14.

    Baek HM, Chen JH, Nie K et al (2009) Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy. Radiology 251:653–662

    Article  Google Scholar 

  15. 15.

    Aboagye EO, Bhujwalla ZM (1999) Malignant transformation alters membrane choline phospholipid metabolism of human mammary epithelial cells. Cancer Res 59:80–84

    CAS  PubMed  Google Scholar 

  16. 16.

    Vogel PM, Georgiade NG, Fetter BF, Vogel FS, McCarty KS Jr (1981) The correlation of histologic changes in the human breast with the menstrual cycle. Am J Pathol 104:23–24

  17. 17.

    Mann RM, Kuhl CK, Kinkel K, Boetes C (2008) Breast MRI: guidelines from the European Society of Breast Imaging. Eur Radiol 18:1307–1318

    CAS  Article  Google Scholar 

  18. 18.

    Jung Y, Jeong SK, Kang DK, Moon Y, Kim TH (2018) Quantitative analysis of background parenchymal enhancement in whole breast on MRI: influence of menstrual cycle and comparison with a qualitative analysis. Eur J Radiol 103:84–89

  19. 19.

    Scaranelo AM, Carrillo MC, Fleming R, Jacks LM, Kulkarni SR, Crystal P (2013) Pilot study of quantitative analysis of background enhancement on breast MR images: association with menstrual cycle and mammographic breast density. Radiology 267:692–700

  20. 20.

    Clendenen TV, Kim S, Moy L et al (2013) Magnetic resonance imaging (MRI) of hormone-induced breast changes in young premenopausal women. Magn Reson Imaging 31:1–9

    CAS  Article  Google Scholar 

  21. 21.

    Goldsmith SJ (1975) Radioimmunoassay: review of basic principles. Semin Nucl Med 5:125–152

    CAS  Article  Google Scholar 

  22. 22.

    Bolan PJ (2013) Magnetic resonance spectroscopy of the breast: current status. Magn Reson Imaging Clin N Am 21:625–639

    Article  Google Scholar 

  23. 23.

    Bartella L, Huang W (2007) Proton (1H) MR spectroscopy of the breast. Radiographics 27:S241–S252

    Article  Google Scholar 

  24. 24.

    Dorrius MD, Pijnappel RM, Jansen-van der Weide MC et al (2011) Determination of choline concentration in breast lesions: quantitative multivoxel proton MR spectroscopy as a promising noninvasive assessment tool to exclude benign lesions. Radiology 259:695–703

    Article  Google Scholar 

  25. 25.

    Haddadin IS, McIntosh A, Meisamy S et al (2009) Metabolite quantification and high-field MRS in breast cancer. NMR Biomed 22:65–76

    CAS  Article  Google Scholar 

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Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Funding

No specific funding was received for this study.

Author information

Affiliations

  1. Radiology Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy
    • Giovanni Di Leo
    •  & Francesco Sardanelli
  2. Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
    • Ileana Ioan
  3. Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
    • Maria Laura Luciani
    • , Cecilia Midulla
    •  & Federica Pediconi
  4. Department of Cell Biology and Neurosciences, Istituto Superiore di Sanità, Rome, Italy
    • Franca Podo
  5. Department of Biomedical Sciences for Health, Università degli Studi di Milano, San Donato Milanese, Italy
    • Francesco Sardanelli
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  1. Giovanni Di Leo
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Contributions

Conception and design: FPo, FS, FPe. Data acquisition: II, MLL, CM. Analysis and interpretation of data: GDL, FPo, FS, FPe. Statistical analysis: GDL. Drafting the manuscript or revising it critically: all authors. Approval of the manuscript final version: all authors.

Corresponding author

Correspondence to Giovanni Di Leo.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the institutional review board and all participants signed a written informed consent.

Consent for publication

Included in the informed consent obtained by the participants in the study.

Competing interests

Francesco Sardanelli is the Editor-in-chief of European Radiology Experimental; for this reason, he was not involved in any way in the revision/decision process, which was completely managed by the Deputy Editor, Dr. Akos Varga-Szemes (Medical University of South Carolina, Charleston, SC, USA). In addition, Francesco Sardanelli received research grants by General Electric Healthcare. The other authors have no competing interests related to the present paper to disclose.

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Di Leo, G., Ioan, I., Luciani, M.L. et al. Changes in total choline concentration in the breast of healthy fertile young women in relation to menstrual cycle or use of oral contraceptives: a 3-T 1H-MRS study. Eur Radiol Exp 2, 43 (2018). https://doi.org/10.1186/s41747-018-0075-0

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Keywords

  • Breast
  • Choline
  • Contraceptives (oral)
  • Magnetic resonance spectroscopy
  • Menstrual cycle