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Various imaging modalities for the detection of salivary gland lesions: the advantages of tl spet

  • ,
  • K. Koizumi
    ,
  • K. Toyama
    ,
  • A. Nambu
    ,
  • T. Ichikawa
    ,
  • T. Arai
  • University of Yamanashi
    ,
  • Tokyo Medical University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

The aim of this study was to compare dual-isotope (Tcm and Tl) SPET imaging with computed tomography (CT) and magnetic resonance imaging (MRI) in the differentiation of various lesions of the major salivary glands. Twenty-two patients underwent dual-isotope SPET imaging, of whom 12 also had CT and 15 also had an MRI study. The uptake ratio and retention index for Tcm and Tl were calculated by drawing regions of interest on the involved and normal glands. Both CT and MRI were interpreted by two radiologists. All malignant tumours were detected by all three modalities. Warthin's tumours were detected by dual-isotope SPET imaging; however, MRI failed to differentiate Warthin's tumour from pleomorphic adenoma. Of 13 other benign tumours, dual-isotope SPET correctly diagnosed 12. Of 16 tumours showing a cold defect on the Tcm images, parametric analysis with Tl gave an accuracy of 94%, whereas CT gave an accuracy of 70-90%. MRI was 73-91% accurate in differentiating between benign (Warthin's) and malignant tumours. We believe that dual-isotope SPET imaging (Tcm and Tl), together with semi-quantitative analysis, is the method of choice for differentiating between various lesions of the major salivary glands.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 277-284 (8 pages)

Journal (Volume, Issue Number)

Nuclear Medicine Communications (Volume 21, Issue 3)

Publication milestones

  • Published - 03/2000

Publication status

Published - 03/2000

ISSN

0143-3636

Publication IDs

  • Scopus: 0034151129
  • PubMed: 10823330

Publication metrics

Metrics

SciVal
FWCI
0.74
SciVal
Author count
7
SciVal
citations
10
SciVal
Paper percentile
56
Scopus
citations
Fractional count
1
Fractional count
0.14
Fractional count
6
Fractional count
0.86
Fractional count
1
Fractional count
1

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Captures
8
Citation count
10