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Detection of lung lesions and lymph nodes with 201t1 spet

  • A. S. Arbab(corresponding author)
    ,
  • K. Toyama
    ,
  • T. Arai
    ,
  • T. Yoshitomi
    ,
  • T. Araki
    ,
  • K. Koizumi
*Corresponding author for this work
  • University of Yamanashi
    ,
  • Tokyo Medical University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

The aim of this study was to characterize lung lesions by means of the uptake, retention and washout of 201Tl, and to quantify the sensitivity of 201Tl SPET (single photon emission tomography) in detecting mediastinal and hilar lymph nodes. A total of 68 patients with lung lesions (tumours and inflammation) underwent both helical computed tomography (CT) and 201Tl SPET examinations. Uptake, retention and washout parameters were calculated from early and delayed 201Tl SPET by drawing regions of interest over the primary lesion and the background of the lung. The findings on 201Tl SPET were compared with those on CT and surgical findings. A significant difference in the retention index (RI) was observed between primary malignant and benign lesions. In detecting lymph nodes, the sensitivity, specificity and negative predictive value were 83%, 60% and 90% respectively for early 201Tl SPET, and 50%, 80% and 80% respectively for delayed 201Tl SPET. 201Tl SPET with semi-quantitative analysis, especially RI, helps to differentiate between malignant and benign lung lesions. Lymph nodes larger than 1 cm on CT but not showing 201Tl uptake could be considered non-metastatic lesions.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 411-416 (6 pages)

Journal (Volume, Issue Number)

Nuclear Medicine Communications (Volume 19, Issue 5)

Publication milestones

  • Published - 05/1998

Publication status

Published - 05/1998

ISSN

0143-3636

Publication IDs

  • Scopus: 0031748028
  • PubMed: 9853329

Publication metrics

Metrics

SciVal
FWCI
1.10
SciVal
Author count
6
SciVal
citations
7
SciVal
Paper percentile
52
Fractional count
1
Fractional count
0.17
Fractional count
5
Fractional count
0.83
Fractional count
1
Fractional count
1
Scopus
citations

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Citation count
6
Captures
3