Visual and semiquantitative analysis of 82Rb uptake in malignant tumors on PET/CT: first systematic analysis.


Journal

Nuclear medicine communications
ISSN: 1473-5628
Titre abrégé: Nucl Med Commun
Pays: England
ID NLM: 8201017

Informations de publication

Date de publication:
May 2019
Historique:
pubmed: 29 3 2019
medline: 15 6 2019
entrez: 29 3 2019
Statut: ppublish

Résumé

The objective of this study was to analyze the uptake of rubidium in malignant tumors. Sixteen malignant lesions were included. Two radiologists compared each lesion to four references (subcutaneous fat, lung, mediastinal blood pool, and liver) at rest and stress and scored as 1-4. Maximum standardized uptake value (SUV) in each lesion and four references, as well as ratios of lesion SUV to SUV of each of the references, were calculated at rest and stress. We assessed an agreement for scores of reader 1 versus reader 2 (inter-reader) at rest and stress, scores at rest versus stress (intrapatient) for reader 1 and reader 2, and lesion SUV and respective ratios at rest and stress using paired t-test and Bland-Altman analyses. Fifteen (94%) out of 16 lesions had a score of 3 or 4 at rest or stress or both by at least one reviewer. We did not find evidence of inter-reader bias at rest or stress or intrapatient (rest vs. stress) bias for either reader. SUV ranged from 1.0 to 8.1 at rest and from 0.7 to 6.7 at stress. There was an excellent agreement between ratios of lesion SUV to lung SUV at rest versus stress. On the extreme, there was a poor agreement between ratios of lesion SUV to liver SUV at rest versus stress. Otherwise, the agreement was good for the majority of the results, and moderate for a few others. Malignant tumors can be readily depicted and quantified on rubidium PET/CT. Further research is needed.

Identifiants

pubmed: 30920430
doi: 10.1097/MNM.0000000000001011
doi:

Substances chimiques

Rubidium Radioisotopes 0
Rubidium-82 9K730EL8KU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

532-538

Auteurs

Amir H Khandani (AH)

Department of Radiology, UNC School of Medicine, Division of Nuclear Medicine.
UNC School of Medicine, UNC Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USA.

Clayton W Commander (CW)

Department of Radiology, UNC School of Medicine, Division of Nuclear Medicine.

Hemant Desai (H)

Department of Radiology, UNC School of Medicine, Division of Nuclear Medicine.

Jorge D Oldan (JD)

Department of Radiology, UNC School of Medicine, Division of Nuclear Medicine.

Terence Z Wong (TZ)

Department of Radiology, UNC School of Medicine, Division of Nuclear Medicine.

Thad Benefield (T)

Department of Radiology, UNC School of Medicine, Division of Nuclear Medicine.

Marijana Ivanovic (M)

Department of Radiology, UNC School of Medicine, Division of Nuclear Medicine.

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Classifications MeSH