» Articles » PMID: 3726104

Breast and Axillary Tissue MR Imaging: Correlation of Signal Intensities and Relaxation Times with Pathologic Findings

Overview
Journal Radiology
Specialty Radiology
Date 1986 Aug 1
PMID 3726104
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

We tested a variety of inversion-recovery (IR) and spin-echo (SE) sequences by imaging the breast masses of 22 patients before surgery and 23 tissue specimens with magnetic resonance (MR) imaging at 0.6 T to determine the most effective pulse sequences to evaluate breast disease. An SE pulse sequence using a long repetition time (TR) of 1,600 msec and a long echo time (TE) of 90 msec was found to be the most sensitive in depicting carcinoma in the excised tissue specimens, with all of the carcinomas (n = 15) demonstrating irregular areas of higher signal intensity (SI) than that of the adjacent fat. However, only five of 11 breast carcinomas present in the preoperative patients produced a higher SI than that produced by fat on the same T2-weighted sequence. Five of the remaining six carcinomas in the preoperative patients appeared as localized distortions of fibroductular architecture on both T2-weighted SE and IR sequences. In axillary tissue specimens, both metastatic carcinoma and hyperplastic lymph nodes produced a high SI on T2-weighted SE sequences. However, metastatic carcinoma had a significantly longer T2 relaxation time than did hyperplastic lymph nodes.

Citing Articles

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

Takenaka D, Ozawa Y, Yamamoto K, Shinohara M, Ikedo M, Yui M Magn Reson Med Sci. 2023; 23(4):487-501.

PMID: 37661425 PMC: 11447466. DOI: 10.2463/mrms.mp.2023-0068.


State of the Art MR Imaging for Lung Cancer TNM Stage Evaluation.

Ohno Y, Ozawa Y, Koyama H, Yoshikawa T, Takenaka D, Nagata H Cancers (Basel). 2023; 15(3).

PMID: 36765907 PMC: 9913625. DOI: 10.3390/cancers15030950.


Consistency and prognostic value of preoperative staging and postoperative pathological staging using F-FDG PET/MRI in patients with non-small cell lung cancer.

Kajiyama A, Ito K, Watanabe H, Mizumura S, Watanabe S, Yatabe Y Ann Nucl Med. 2022; 36(12):1059-1072.

PMID: 36264439 DOI: 10.1007/s12149-022-01795-9.


Diffusion-weighted imaging vs STIR turbo SE imaging: capability for quantitative differentiation of small-cell lung cancer from non-small-cell lung cancer.

Koyama H, Ohno Y, Nishio M, Takenaka D, Yoshikawa T, Matsumoto S Br J Radiol. 2014; 87(1038):20130307.

PMID: 24786147 PMC: 4075547. DOI: 10.1259/bjr.20130307.


A proposal for combined MRI and PET/CT interpretation criteria for preoperative nodal staging in non-small-cell lung cancer.

Kim Y, Yi C, Lee K, Kwon O, Lee H, Kim B Eur Radiol. 2012; 22(7):1537-46.

PMID: 22367469 DOI: 10.1007/s00330-012-2388-3.