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Bauckneht M, Morbelli S, Fiz F, et al. A Score-Based Approach to . Diagnostics (Basel). 2017;7(4)doi: 10.3390/diagnostics7040057.
Bauckneht, M., Morbelli, S., Fiz, F., Ferrarazzo, G., Piva, R., Nieri, A., Sarocchi, M., Spallarossa, P., Canepari, M. E., Arboscello, E., Bellodi, A., Massaia, M., Gallamini, A., Bruzzi, P., Marini, C., & Sambuceti, G. (2017). A Score-Based Approach to . Diagnostics (Basel, Switzerland), 7(4), . https://doi.org/10.3390/diagnostics7040057
Bauckneht, Matteo, et al. "A Score-Based Approach to ." Diagnostics (Basel, Switzerland) vol. 7,4 (2017). doi: https://doi.org/10.3390/diagnostics7040057
Bauckneht M, Morbelli S, Fiz F, Ferrarazzo G, Piva R, Nieri A, Sarocchi M, Spallarossa P, Canepari ME, Arboscello E, Bellodi A, Massaia M, Gallamini A, Bruzzi P, Marini C, Sambuceti G. A Score-Based Approach to . Diagnostics (Basel). 2017 Oct 26;7(4). doi: 10.3390/diagnostics7040057. PMID: 29072629; PMCID: PMC5745393.
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Diagnostics (Basel). 2017 Oct 26;7(4). doi: 10.3390/diagnostics7040057.

A Score-Based Approach to .

Diagnostics (Basel, Switzerland)

Matteo Bauckneht, Silvia Morbelli, Francesco Fiz, Giulia Ferrarazzo, Roberta Piva, Alberto Nieri, Matteo Sarocchi, Paolo Spallarossa, Maria Elisa Canepari, Eleonora Arboscello, Andrea Bellodi, Massimo Massaia, Andrea Gallamini, Paolo Bruzzi, Cecilia Marini, Gianmario Sambuceti

Affiliations

  1. Nuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. [email protected].
  2. Nuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. [email protected].
  3. Nuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. [email protected].
  4. Nuclear Medicine Unit, Department of Radiology, Uni-Klinikum, 72070 Tübingen, Germany. [email protected].
  5. Nuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. [email protected].
  6. Nuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. [email protected].
  7. Nuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. [email protected].
  8. Clinic of Cardiovascular Diseases, Policlinico San Martino Hospital, 16132 Genoa, Italy. [email protected].
  9. Clinic of Cardiovascular Diseases, Policlinico San Martino Hospital, 16132 Genoa, Italy. [email protected].
  10. Ematology Unit, ASO Santa Croce e Carle, 12100 Cuneo, Italy. [email protected].
  11. Clinic of Internal Medicine 3, Department Internal Medicine, Policlinico San Martino Hospital, 16132 Genoa, Italy. [email protected].
  12. Clinic of Internal Medicine 3, Department Internal Medicine, Policlinico San Martino Hospital, 16132 Genoa, Italy. [email protected].
  13. Ematology Unit, ASO Santa Croce e Carle, 12100 Cuneo, Italy. [email protected].
  14. Department of Research, Innovation and Statistics, Antoine Lacassagne Cancer Centre, 06189 Nice, France. [email protected].
  15. Epidemiology Unit, Policlinic San Martino Hospital, 16132 Genoa, Italy. [email protected].
  16. CNR Institute of Bioimaging and Molecular Physiology, Section of Genoa, 20090 Milan, Italy. [email protected].
  17. Nuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. [email protected].

PMID: 29072629 PMCID: PMC5745393 DOI: 10.3390/diagnostics7040057

Abstract

PURPOSE: To verify the capability of

METHODS: 36 patients underwent FDG-PET/CT. These patients had shown full remission after DXR-based chemotherapy for Hodgkin's disease (DXR dose: 40-50 mg/m² per cycle), and were retrospectively enrolled. Inclusion criteria implied the presence of both pre- and post-chemotherapy clinical evaluation encompassing electrocardiogram (ECG) and echocardiography. Myocardial metabolism at pre-therapy PET was evaluated according to both standardized uptake value (SUV)- and score-based approaches. The capability of the score-based image assessment to predict the occurrence of cardiac toxicity with respect to SUV measurement was then evaluated.

RESULTS: In contrast to the SUV-based approach, the five-point scale method does not linearly stratify the risk of the subsequent development of cardiotoxicity. However, converting the five-points scale to a dichotomic evaluation (low vs. high myocardial metabolism), FDG-PET/CT showed high diagnostic accuracy in the prediction of cardiac toxicity (specificity = 100% and sensitivity = 83.3%). In patients showing high myocardial uptake at baseline, in which the score-based method is not able to definitively exclude the occurrence of cardiac toxicity, myocardial SUV mean quantification is able to further stratify the risk between low and intermediate risk classes.

CONCLUSIONS: the score-based approach to FDG-PET/CT images is a feasible method for predicting DXR-induced cardiotoxicity. This method might improve the inter-reader and inter-scanner variability, thus allowing the evaluation of FDG-PET/CT images in a multicentral setting.

Keywords: cardiotoxicity; deauville score; doxorubicin; fluorodeoxy-glucose; myocardial metabolism; positron emission tomography

Conflict of interest statement

The authors declare no conflict of interest.

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