Antonella Meloni1,2, Daniele De Marchi3, Vincenzo Positano3,4, Maria Giovanna Neri3, Maurizio Mangione5, Petra Keilberg3, Maddalena Lendini6, Carla Cirotto7, Alessia Pepe3. 1. CMR Unit, Fondazione G. Monasterio CNR-Regione Toscana, Area della Ricerca S. Cataldo, Via Moruzzi, 1, 56124, Pisa, Italy. antonella.meloni@ftgm.it. 2. U.O.C. Bioingegneria e Ingegneria Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy. antonella.meloni@ftgm.it. 3. CMR Unit, Fondazione G. Monasterio CNR-Regione Toscana, Area della Ricerca S. Cataldo, Via Moruzzi, 1, 56124, Pisa, Italy. 4. U.O.C. Bioingegneria e Ingegneria Clinica, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy. 5. U.O.S. Sistemi Informatici, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy. 6. Centro Trasfusionale, Osp. Giovanni Paolo II, Olbia, Italy. 7. Servizio Trasfusionale, Azienda USL n° 1, Sassari, Italy.
Abstract
PURPOSE: We examined different approaches aimed to deal with the signal fluctuation of pancreatic T2* values due to fat infiltration in order to obtain accurate estimates of iron overload. METHODS: Pancreatic T2* values were assessed in 20 patients (13 females, 37.24 ± 9.12 years) enrolled in the Myocardial Iron Overload in Thalassemia network without and with the application of fat suppression-FS (T2*-NoFS and T2*-FS). T2* values were assessed in three different ways: (1) from the immediate fit (original T2*); (2) discarding the echoes until the achievement of a good visual concordance between the signal and the model (final_vis T2*); (3) eliminating the echoes until the achievement of a fitting error (known) <5% (final_thres T2*). RESULTS: For the T2*-NoFS sequence the original T2* values were significantly higher than the final_vis T2* values (difference:4.8 ± 6.1 ms; P < 0.0001) and the final_thres T2* values (difference:4.3 ± 6.1 ms; P = 0.006). For the T2*-FS sequence the original T2* values were comparable to final_vis and final_thres T2* values. The original T2*-FS values were significantly different from the original T2*-NoFS values. The final_vis T2*-FS values were comparable to the final_vis T2*-NoFS values and the final_thresh T2*-FS values were comparable to the final_thresh T2*-NoFS values. For both T2*-FS and T2*-NoFS sequences, the final_thres T2* values were not significantly different from the final_vis T2* values and no bias was present. CONCLUSIONS: In the clinical practice, an accurate pancreatic iron overload assessment should be done by applying FS and, when needed, by discarding the TEs until the fitting error goes below 5%.
PURPOSE: We examined different approaches aimed to deal with the signal fluctuation of pancreatic T2* values due to fat infiltration in order to obtain accurate estimates of iron overload. METHODS:Pancreatic T2* values were assessed in 20 patients (13 females, 37.24 ± 9.12 years) enrolled in the Myocardial Iron Overload in Thalassemia network without and with the application of fat suppression-FS (T2*-NoFS and T2*-FS). T2* values were assessed in three different ways: (1) from the immediate fit (original T2*); (2) discarding the echoes until the achievement of a good visual concordance between the signal and the model (final_vis T2*); (3) eliminating the echoes until the achievement of a fitting error (known) <5% (final_thres T2*). RESULTS: For the T2*-NoFS sequence the original T2* values were significantly higher than the final_vis T2* values (difference:4.8 ± 6.1 ms; P < 0.0001) and the final_thres T2* values (difference:4.3 ± 6.1 ms; P = 0.006). For the T2*-FS sequence the original T2* values were comparable to final_vis and final_thres T2* values. The original T2*-FS values were significantly different from the original T2*-NoFS values. The final_vis T2*-FS values were comparable to the final_vis T2*-NoFS values and the final_thresh T2*-FS values were comparable to the final_thresh T2*-NoFS values. For both T2*-FS and T2*-NoFS sequences, the final_thres T2* values were not significantly different from the final_vis T2* values and no bias was present. CONCLUSIONS: In the clinical practice, an accurate pancreaticiron overload assessment should be done by applying FS and, when needed, by discarding the TEs until the fitting error goes below 5%.
Entities:
Keywords:
Fat suppression; Iron overload; Magnetic resonance imaging; Pancreas T2*
Authors: Maria Filomena Santarelli; Antonella Meloni; Daniele De Marchi; Laura Pistoia; Antonella Quarta; Anna Spasiano; Luigi Landini; Alessia Pepe; Vincenzo Positano Journal: MAGMA Date: 2018-07-24 Impact factor: 2.310
Authors: Antonella Meloni; Laura Pistoia; Paolo Ricchi; Maria Caterina Putti; Maria Rita Gamberini; Liana Cuccia; Giuseppe Messina; Francesco Massei; Elena Facchini; Riccardo Righi; Stefania Renne; Giuseppe Peritore; Vincenzo Positano; Filippo Cademartiri Journal: J Pers Med Date: 2022-03-04