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Detection of small, functional islet cell tumors in the pancreas: selection of MR imaging sequences for optimal sensitivity.
- Source :
-
Radiology [Radiology] 2000 Feb; Vol. 214 (2), pp. 483-90. - Publication Year :
- 2000
-
Abstract
- Purpose: To determine the sensitivity and specificity of magnetic resonance (MR) imaging for depicting pancreatic small, functional islet cell tumors and the minimum number of sequences for expedient diagnosis.<br />Materials and Methods: Twenty-eight patients clinically suspected to have functional islet cell tumors underwent T1- and T2-weighted spin-echo (SE) MR imaging with and without fat suppression, T2-weighted fast SE imaging, and spoiled gradient-echo (GRE) imaging before and after injection of gadopentetate dimeglumine. Sensitivity, specificity, and the best and minimum number of sequences for definitive diagnosis were determined.<br />Results: MR images depicted proved islet cell tumors in 17 of 20 patients (sensitivity, 85%). Images were true-negative in eight patients with negative follow-up examination results for more than 1 year. Specificity was 100%; positive predictive value, 100%; and negative predictive value, 73%. Among 20 patients with tumor, T1-weighted SE images with fat suppression and nonenhanced spoiled GRE images each showed lesions in 15 (75%); T2-weighted conventional SE with fat suppression, in 13 (65%); gadolinium-enhanced spoiled GRE, in 12 (60%); and T2-weighted fast SE, in seven of 10 patients (70%).<br />Conclusion: MR imaging accurately depicts small islet cell tumors. T2-weighted fast SE and spoiled GRE sequences usually suffice. Gadolinium-enhanced sequences are needed only if MR imaging results are equivocal or negative.
- Subjects :
- Adipose Tissue
Adolescent
Adult
Aged
Aged, 80 and over
Contrast Media
Diagnosis, Differential
Female
Follow-Up Studies
Gadolinium DTPA
Humans
Image Enhancement methods
Male
Middle Aged
Predictive Value of Tests
Prospective Studies
Sensitivity and Specificity
Adenoma, Islet Cell diagnosis
Image Processing, Computer-Assisted methods
Magnetic Resonance Imaging methods
Pancreatic Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 0033-8419
- Volume :
- 214
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Radiology
- Publication Type :
- Academic Journal
- Accession number :
- 10671597
- Full Text :
- https://doi.org/10.1148/radiology.214.2.r00fe32483