Literature DB >> 3862656

Theoretical considerations for optimizing intensity differences between primary musculoskeletal tumors and normal tissue with spin-echo magnetic resonance imaging.

M L Richardson, E G Amparo, T Gillespy, C A Helms, B E Demas, H K Genant.   

Abstract

In the radiographic assessment of primary musculoskeletal tumors, it is important for therapy planning to accurately define the extent of a tumor. Using a double spin-echo pulse sequence, the T1 and T2 relaxation times and relative hydrogen densities of several neoplastic tissues and of several normal tissues in four patients were measured. Neoplasms measured included one fibrosarcoma, two osteosarcomas, and one giant cell tumor. Normal tissues measured included normal muscle, fat, and bone marrow. Using a mathematical model of the double spin-echo pulse sequence, the intensity difference between each tumor and each normal tissue for multiple values of TR and TE was calculated. These calculated intensity differences were then used to plot isodifference contour curves for each tissue pair. These plots enabled us to pick combinations of TR and TE that optimized the signal difference between tumor and normal tissue. When comparing tumor with predominantly fatty tissue such as marrow or subcutaneous fat, optimal signal difference in our imager occurred at a TR of 600 to 800 msec and a very short TE. When comparing tumor with muscle, optimal signal difference occurred with very long TR times, and TE times ranging from 30 to 90 msec. These preliminary results suggest that an optimal scanning protocol for primary musculoskeletal tumors should contain at least two different pulse sequences with widely separated TR values (500 and 2000 msec in our instrument), and short to intermediate values of TE (28 and 56 msec in our instrument). It is believed that analysis of isodifference contour plots is a useful method for optimizing intensity differences between any two tissue types.

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Year:  1985        PMID: 3862656     DOI: 10.1097/00004424-198508000-00009

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  7 in total

1.  Magnetic resonance imaging: comparison of four pulse sequences in assessing primary bone tumours.

Authors:  M Graif; J M Pennock; J Pringle; D R Sweetnam; A J Jelliffe; G M Bydder; I R Young
Journal:  Skeletal Radiol       Date:  1989       Impact factor: 2.199

2.  Chemical shift imaging with in-phase and opposed-phase sequences at 3 T: what is the optimal threshold, measurement method, and diagnostic accuracy for characterizing marrow signal abnormalities?

Authors:  Neil M Kumar; Shivani Ahlawat; Laura M Fayad
Journal:  Skeletal Radiol       Date:  2018-06-23       Impact factor: 2.199

3.  Tumors of the musculoskeletal system: magnetic resonance imaging and computed tomography.

Authors:  D I Rosenthal
Journal:  Bull N Y Acad Med       Date:  1987-06

4.  Magnetic resonance imaging versus computed tomography in the evaluation of soft tissue tumors of the extremities.

Authors:  A E Chang; Y L Matory; A J Dwyer; S C Hill; M E Girton; S M Steinberg; R H Knop; J A Frank; D Hyams; J L Doppman
Journal:  Ann Surg       Date:  1987-04       Impact factor: 12.969

Review 5.  Musculoskeletal tumours and tumour-like conditions: common and avoidable pitfalls at imaging in patients with known or suspected cancer: Part B: malignant mimics of benign tumours.

Authors:  Gary Ulaner; Sinchun Hwang; Jonathan Landa; Robert A Lefkowitz; David M Panicek
Journal:  Int Orthop       Date:  2013-02-17       Impact factor: 3.075

6.  Gadolinium-DTPA enhancement of soft tissue tumors in magnetic resonance imaging--preliminary clinical experience in five patients.

Authors:  H Pettersson; J Eliasson; N Egund; B Rööser; H Willén; A Rydholm; N O Berg; S Holtås
Journal:  Skeletal Radiol       Date:  1988       Impact factor: 2.199

Review 7.  Musculoskeletal tumors: how to use anatomic, functional, and metabolic MR techniques.

Authors:  Laura M Fayad; Michael A Jacobs; Xin Wang; John A Carrino; David A Bluemke
Journal:  Radiology       Date:  2012-11       Impact factor: 11.105

  7 in total

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