Dynamic contrast-enhanced perfusion MR imaging of diseased vertebrae: analysis of three parameters and the distribution of the time-intensity curve patterns-Reference-Cited by-同舟云学术

Dynamic contrast-enhanced perfusion MR imaging of diseased vertebrae: analysis of three parameters and the distribution of the time-intensity curve patterns

Published:2005-08-10 Issue:10 Volume:34 Page:632-638
ISSN:0364-2348
Container-title:Skeletal Radiology
language:en
Short-container-title:Skeletal Radiol

Author:

Tokuda Osamu,Hayashi Noriko,Taguchi Koutarou,Matsunaga Naofumi

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

http://link.springer.com/content/pdf/10.1007/s00256-005-0949-0.pdf

Reference24 articles.

1. Totty WG, Murphy WA, Lee JKT. Soft tissue tumors: MR imaging. Radiology 1986; 160:135–141.

2. Crim JR, Seeger LL, Yao L, et al. Diagnosis of soft-tissue masses be differentiated from malignant ones? Radiology 1992;185: 581–586.

3. Sundaram M, McGuire MH, Schajowicz F. Soft-tissue masses: histologic basis for decreased signal (short T2) on T2-weighted images. AJR Am J Roentgenol 1987; 148:1247–1250.

4. Erlemann R, Reiser MF, Peters PE, et al. Musculoskeletal neoplasm: static and dynamic Gd-DTPA-enhanced MR imaging. Radiology 1989; 171:767–773.

5. Erlemann R, Sciuk J, Bosse A, et al. Response of osteosarcoma and Ewing sarcoma to preoperative chemotherapy assessment with dynamic and static MR imaging and skeletal scintigraphy. Radiology 1990; 175:791–796.

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