2003
DOI: 10.1016/s0960-9776(03)00012-2
|View full text |Cite
|
Sign up to set email alerts
|

In vivo 1H-MRS evaluation of malignant and benign breast diseases

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
44
0

Year Published

2004
2004
2015
2015

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 55 publications
(45 citation statements)
references
References 10 publications
1
44
0
Order By: Relevance
“…The presence of choline peaks is a diagnostic metabolic marker in malignant breast tumors. Choline is observed at 3.24 ppm in the spectrum and is not seen in benign lesions (15). In MRS, we detected marked water and lipid peaks; however, choline peaks were not detected.…”
Section: Resultsmentioning
confidence: 57%
“…The presence of choline peaks is a diagnostic metabolic marker in malignant breast tumors. Choline is observed at 3.24 ppm in the spectrum and is not seen in benign lesions (15). In MRS, we detected marked water and lipid peaks; however, choline peaks were not detected.…”
Section: Resultsmentioning
confidence: 57%
“…Some benign cases such as FCC, as shown in 2 patients in our study, however, also show positive choline level. Kim JK et al [23] showed that Cho was not only detected in a number of benign diseases including tubular adenomas and FCC but also in normal feeding breast tissue. Our limited data showed, although choline might be detected in benign disease, the choline level is lower than that of the malignant breast cancer (our unpublished data).…”
Section: Discussionmentioning
confidence: 99%
“…However, several other metabolites of interest, including N-acetyl-aspartate (2.02 ppm), Cho (3.2 ppm), creatine (3.02 ppm), myo-inositol (mI) (3.57 ppm), and lactate (1.32 ppm) can also be detected. MRS has previously been shown to differentiate benign from malignant breast lesions through the detection of increased levels of composite Cho compounds (free Cho, PC, and GPC) (6,(8)(9)(10)(11)(12)(13)(14)(15)(16).…”
Section: Discussionmentioning
confidence: 99%