Diagnostic value of positron-emission tomography textural indices for malignancy of 18F-fluorodeoxyglucose-avid adrenal lesions.


Journal

The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of...
ISSN: 1827-1936
Titre abrégé: Q J Nucl Med Mol Imaging
Pays: Italy
ID NLM: 101213861

Informations de publication

Date de publication:
Mar 2021
Historique:
pubmed: 28 3 2019
medline: 21 10 2021
entrez: 28 3 2019
Statut: ppublish

Résumé

PET Textural indices could have an add-on diagnostic value for diagnosis of malignancy in patients with FDG-avid adrenal lesions. Consecutive patients referred for a FDG-PET/CT to our nuclear medicine department from June 2012 to June 2017 were retrospectively screened. Inclusion criteria were: patients with a FDG-avid adrenal lesion (uptake≥liver background); malignant/benign lesion confirmed histologically or with follow-up imaging examination. Pheochromocytomas were not included in the analysis. For each adrenal lesion, 5 quantitative PET parameters (SUV<inf>max</inf>, MTV, TLG, TLR<inf>max</inf> and TLRmean<inf>)</inf> were calculated. Thirty-seven textural indices were extracted using LIFEx software PET textural indices were calculated for 53 lesions (37 malignant, 16 benign). Three PET metabolic parameters (SUV<inf>max</inf>, TLR<inf>max</inf>, TLRmean) and 13 textural indices had an AUC>0.5. Seven groups of highly correlated parameters (r>0.8) were extracted. For PET parameters, SUV<inf>max</inf> had the best AUC (0.89 95% CI [0.79-0.98]; cut-off=7.0). For textural indices, ZLNU had the best AUC (0.87 95% CI [0.78-0.96]; cut-off=34.7) and specificity of 100%. Three scores combining the best four textural indices alone (Contrast<inf>GLCM</inf>, LRHGE, SZE and ZLNU) or with one PET parameters (SUV<inf>max</inf>, TLR<inf>max</inf>) were developed but did not increase the diagnostic performance (AUC≤0.89). ZLNU was the best parameter to distinguish primary adrenal cancer from adrenal metastases in malignant lesions (P<0.001). Our study highlighted excellent diagnostic performance of several PET textural indices comparable to that of PET metabolic parameters. However, our results did not find any additional diagnostic value of textural indices when combined with metabolic parameters.

Sections du résumé

BACKGROUND BACKGROUND
PET Textural indices could have an add-on diagnostic value for diagnosis of malignancy in patients with FDG-avid adrenal lesions.
METHODS METHODS
Consecutive patients referred for a FDG-PET/CT to our nuclear medicine department from June 2012 to June 2017 were retrospectively screened. Inclusion criteria were: patients with a FDG-avid adrenal lesion (uptake≥liver background); malignant/benign lesion confirmed histologically or with follow-up imaging examination. Pheochromocytomas were not included in the analysis. For each adrenal lesion, 5 quantitative PET parameters (SUV<inf>max</inf>, MTV, TLG, TLR<inf>max</inf> and TLRmean<inf>)</inf> were calculated. Thirty-seven textural indices were extracted using LIFEx software
RESULTS RESULTS
PET textural indices were calculated for 53 lesions (37 malignant, 16 benign). Three PET metabolic parameters (SUV<inf>max</inf>, TLR<inf>max</inf>, TLRmean) and 13 textural indices had an AUC>0.5. Seven groups of highly correlated parameters (r>0.8) were extracted. For PET parameters, SUV<inf>max</inf> had the best AUC (0.89 95% CI [0.79-0.98]; cut-off=7.0). For textural indices, ZLNU had the best AUC (0.87 95% CI [0.78-0.96]; cut-off=34.7) and specificity of 100%. Three scores combining the best four textural indices alone (Contrast<inf>GLCM</inf>, LRHGE, SZE and ZLNU) or with one PET parameters (SUV<inf>max</inf>, TLR<inf>max</inf>) were developed but did not increase the diagnostic performance (AUC≤0.89). ZLNU was the best parameter to distinguish primary adrenal cancer from adrenal metastases in malignant lesions (P<0.001).
CONCLUSIONS CONCLUSIONS
Our study highlighted excellent diagnostic performance of several PET textural indices comparable to that of PET metabolic parameters. However, our results did not find any additional diagnostic value of textural indices when combined with metabolic parameters.

Identifiants

pubmed: 30916534
pii: S1824-4785.19.03138-8
doi: 10.23736/S1824-4785.19.03138-8
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

79-87

Auteurs

Philippe Thuillier (P)

Department of Endocrinology, University Hospital of Brest, Brest, France - philippe.thuillier@chu-brest.fr.
EA GETBO 3878, University Hospital of Brest, Brest, France - philippe.thuillier@chu-brest.fr.

David Bourhis (D)

EA GETBO 3878, University Hospital of Brest, Brest, France.
Department of Nuclear Medicine, University Hospital of Brest, Brest, France.

Ulrike Schick (U)

Department of Radiotherapy, University Hospital of Brest, Brest, France.

Zarrin Alavi (Z)

EA-3878, INSERM CIC-1412 Medical University Hospital of Brest, Brest, France.

Catherine Guezennec (C)

EA GETBO 3878, University Hospital of Brest, Brest, France.
Department of Nuclear Medicine, University Hospital of Brest, Brest, France.

Philippe Robin (P)

EA GETBO 3878, University Hospital of Brest, Brest, France.
Department of Nuclear Medicine, University Hospital of Brest, Brest, France.

Véronique Kerlan (V)

Department of Endocrinology, University Hospital of Brest, Brest, France.
EA GETBO 3878, University Hospital of Brest, Brest, France.

Pierre-Yve Salaun (PY)

EA GETBO 3878, University Hospital of Brest, Brest, France.
Department of Nuclear Medicine, University Hospital of Brest, Brest, France.

Ronan Abgral (R)

EA GETBO 3878, University Hospital of Brest, Brest, France.
Department of Nuclear Medicine, University Hospital of Brest, Brest, France.

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