alexa In Vivo 1H-MRS Lipid Signal: Is it Useful for Tumor Response to Neoadjuvant Chemotherapy? | Open Access Journals
ISSN: 2157-7099
Journal of Cytology & Histology
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

In Vivo 1H-MRS Lipid Signal: Is it Useful for Tumor Response to Neoadjuvant Chemotherapy?

Baek HM1,2*

1Division of Magnetic Resonance, Korea Basic Science Institute, 162 Yeongudanji-Ro, Ochang-eup, Cheongwon-gun, Chungbuk 363-883, Korea

2Department of Bio-Analytical Science, University of Science and Technology, 217 Gajungro, Yuseong-ro, Daejeon 305-333, Korea

*Corresponding Author:
Hyeon-Man Baek
Division of Magnetic Resonance
Korea Basic Science Institute
162 Yeongudanji-Ro, Ochang-eup
Cheongwon-gun, Chungbuk 363-883, Korea
Tel: +82-43-240-5054
Fax: +82-43-240-5028
E-mail: [email protected]

Received Date: March 18, 2014; Accepted Date: June 03, 2014; Published Date: June 05, 2014

Citation: Baek HM (2014) In Vivo 1H-MRS Lipid Signal: Is it Useful for Tumor Response to Neoadjuvant Chemotherapy?. J Cytol Histol 5:251. doi:10.4172/2157-7099.1000251

Copyright: © 2014 Baek HM. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Cytology & Histology

Keywords

Breast cancer; Chemotherapy; Tumor size; Lipid signals; MR imaging; MR spectroscopy

Letter to the Editor

Early change of tumor size measured on magnetic resonance imaging (MRI) is a good predictor of final response after neoadjuvant chemotherapy. However, even if the cells respond to treatment, it takes some time for the tumor to shrink. Substantial research effort has been spent on investigating whether other information provided by MRI may serve as earlier response indicators than size change. In vivo proton MR spectroscopy (1H-MRS) has been proven helpful for the detection and therapy response monitoring of breast cancer based on choline-containing compounds (tCho) [1-3]. However, the usefulness of 1H-MRS lipid signal for therapy response prediction is less established. The purpose of our study was to compare changes in 1H-MRS lipids and in tumor size at early times after neoadjuvant chemotherapy between who achieved pathological complete response (pCR) and those who did not.

This study is a retrospective analysis of a prospective enrollment study. Twenty-one patients with biopsy-confirmed breast cancer who elected to receive neoadjuvant chemotherapy were included in this study. The age of the patients was from 31 to 77 years old (mean ± SD, 50 ± 13 years). The examinations were performed on a Philips Eclipse 1.5 T MR system with the dedicated bilateral breast coil. In all patients, MRI and 1H-MRS were performed prior to treatment as the baseline, then at least 2 follow-up (F/U) times, F/U-1 after 1-2 cycles AC, and F/U-2 after 4 cycles AC or 2 cycles AC followed by first cycle of taxane regimen. A radiologist determined the tumor size based on the maximum intensity projection (MIP) of the subtraction images. After completing the treatment protocol, patients received surgery. Based on the pathological examination results, they were categorized into two groups: pCR (pathological complete response, no presence of invasive tumors, N=12) and non-pCR (with minimal or bulk invasive residual disease, N=9). Single-voxel 1H-MRS was performed using a point-resolved spin-echo sequence (PRESS). The spectroscopic voxel was carefully positioned to maximize coverage of the contrast-enhanced lesions and minimize the inclusion of adipose tissue. The spectroscopic voxel size was either 5.8 mL or 8.0 mL. The acquisition parameters were TR/TE=2000/270 ms, and 16 acquisitions for averaging. The jMRUI software package was used for time-domain analysis [4]. AMARES [5], a widely used quantitation tool for MRS data, was employed to fit spectra. A priori knowledge was incorporated in the AMARES fitting routines to reduce the number of model parameters and thus to enhance the robustness and speed of the fit. The spectrum shows resonances form the fatty-acid chains of lipid with methyl (-CH3) at 0.92 ppm, methylene (-CH2-) at 1.33 ppm, allylic methylene (CH2CH2*CH=) at 2.06 ppm, diallylic methylene (-CH-CH2*CH) at 2.79 ppm, and olefinic (-CH*=CH*) at 5.34 ppm.

Figure 1 shows a representative MR imaging and 1H-MRS measurement from a patient who received chemo-follow up treatment. One large hypointense lesion was shown on the pre-contrast sagittal image (Figure 1A, top) showing heterogeneous enhancements on the contrast-enhanced subtraction image (Figure 1A, bottom). The spectroscopic voxel (2×2×2 cm3) was positioned over the enhanced lesion noted on the subtraction image. Lipid peaks at 0.92 and 1.33 ppm were observed in the water-fat unsuppressed spectrum (Figure 1B). The estimated model fit and residue are shown on the full spectrum. Baseline tumor size was not significantly different between pCR and non-pCR groups (P>0.05). The change at first follow-up compared with baseline also did not show significant difference (-20.5% vs. -19.6%, P>0.05). To assess the effects of varying water content during chemotherapy, the percentage change of the water spectra was calculated. Although the change of water peak area showed reduction in the non-pCR group, there was no significant difference compared to that of the pCR group (-41.5% vs. 15.3%, P>0.05). The mean percentage change in methylene lipid peak at 1.33 ppm after 1-2 cycles AC was +71% in pCR group, while that of the lipid peak was +117.2% in non-pCR group. The mean percentage change in methyl lipid peak at 0.92 ppm after 1-2 cycles AC was +87.1% in pCR group, while that of the lipid peak was +139.5% in non-pCR group. However, no significant change was observed between pCR and non-pCR groups (P>0.05, P>0.05).

cytology-histology-shows-representative

Figure 1: Shows a representative MR imaging and 1H-MRS measurement from a patient who received chemo-follow up treatment. Free-hand core biopsy revealed an invasive ductal carcinoma. A radiologist determined the size measurement based on the maximum intensity projection (MIP) of the subtraction images. Before treatment, the lesion was 3.0 cm and showed a heterogeneous enhancing pattern (Figure 1A). Lipids peaks (e.g., methyl (-CH3) at 0.92 ppm, methylene (-CH2-) at 1.33 ppm) were clearly visible in the spectrum without water-fat suppression and fitted by using a Lorentzian model (Figure 1B).

As the therapeutic agents become more effective, more patients can achieve the pathological complete response which is expected to lead to a better prognosis. Our study performed on breast cancer treated with chemotherapy showed that in non-pCR group the change in lipids peak signals at the first follow-up (F/U-1, 1-2 cycles AC) was higher, but not significant compared to that of pCR group (P>0.05). The result suggests that the change of lipid peak signals maybe not serve as an early indicator for predicting later clinical response or pathological complete response [6]. However, in previous studies [1-3], tCho level has showed significant reduction in the response group but not in non-response group, suggesting an early response predictor.

Acknowledgements

This study was supported in part by NIH/NCI No. CA90437, CA127927, and the KBSI No. E34600.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Article Usage

  • Total views: 11502
  • [From(publication date):
    July-2014 - Sep 25, 2017]
  • Breakdown by view type
  • HTML page views : 7750
  • PDF downloads :3752
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords