TY  - JOUR
AU  - Feghali, Joelle Ann
AU  - Delépierre, Julie
AU  - Ciraj-Bjelac, Olivera
AU  - Dabin, Jérémie
AU  - Deleu, Marine
AU  - De Monte, Francesca
AU  - Dobrić, Milan R.
AU  - Gallagher, Aoife
AU  - Hadid-Beurrier, Lama
AU  - Henry, Patrick
AU  - Hršak, Hrvoje
AU  - Kiernan, Tom
AU  - Kumar, Rajesh
AU  - Knežević, Željka
AU  - Maccia, Carlo
AU  - Majer, Marija
AU  - Malchair, Françoise
AU  - Noble, Stéphane
AU  - Obrad, Davor
AU  - Merce, Marta Sans
AU  - Sideris, Georgios
AU  - Simantirakis, George
AU  - Spaulding, Christian
AU  - Tarantini, Giuseppe
AU  - Van Ngoc Ty, Claire
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10111
AB  - Optimizing patient exposure in interventional cardiology is key to avoid skin injuries.PurposeTo establish predictive models of peak skin dose (PSD) during percutaneous coronary intervention (PCI), chronic total occlusion percutaneous coronary intervention (CTO), and transcatheter aortic valve implantation (TAVI) procedures.Material and MethodsA total of 534 PCI, 219 CTO, and 209 TAVI were collected from 12 hospitals in eight European countries. Independent associations between PSD and clinical and technical dose determinants were examined for those procedures using multivariate statistical analysis. A priori and a posteriori predictive models were built using stepwise multiple linear regressions. A fourfold cross-validation was performed, and models? performance was evaluated using the root mean square error (RMSE), mean absolute percentage error (MAPE), coefficient of determination (R²), and linear correlation coefficient (r).ResultsMultivariate analysis proved technical parameters to overweight clinical complexity indices with PSD mainly affected by fluoroscopy time, tube voltage, tube current, distance to detector, and tube angulation for PCI. For CTO, these were body mass index, tube voltage, and fluoroscopy contribution. For TAVI, these parameters were sex, fluoroscopy time, tube voltage, and cine acquisitions. When benchmarking the predictive models, the correlation coefficients were r?=?0.45 for the a priori model and r?=?0.89 for the a posteriori model for PCI. These were 0.44 and 0.67, respectively, for the CTO a priori and a posteriori models, and 0.58 and 0.74, respectively, for the TAVI a priori and a posteriori models.ConclusionA priori predictive models can help operators estimate the PSD before performing the intervention while a posteriori models are more accurate estimates and can be useful in the absence of skin dose mapping solutions
T2  - Acta Radiologica
T1  - Establishing a priori and a posteriori predictive models to assess patients’ peak skin dose in interventional cardiology. Part 2: results of the VERIDIC project
DO  - 10.1177/02841851211062089
ER  - 

@article{
author = "Feghali, Joelle Ann and Delépierre, Julie and Ciraj-Bjelac, Olivera and Dabin, Jérémie and Deleu, Marine and De Monte, Francesca and Dobrić, Milan R. and Gallagher, Aoife and Hadid-Beurrier, Lama and Henry, Patrick and Hršak, Hrvoje and Kiernan, Tom and Kumar, Rajesh and Knežević, Željka and Maccia, Carlo and Majer, Marija and Malchair, Françoise and Noble, Stéphane and Obrad, Davor and Merce, Marta Sans and Sideris, Georgios and Simantirakis, George and Spaulding, Christian and Tarantini, Giuseppe and Van Ngoc Ty, Claire",
year = "2021",
abstract = "Optimizing patient exposure in interventional cardiology is key to avoid skin injuries.PurposeTo establish predictive models of peak skin dose (PSD) during percutaneous coronary intervention (PCI), chronic total occlusion percutaneous coronary intervention (CTO), and transcatheter aortic valve implantation (TAVI) procedures.Material and MethodsA total of 534 PCI, 219 CTO, and 209 TAVI were collected from 12 hospitals in eight European countries. Independent associations between PSD and clinical and technical dose determinants were examined for those procedures using multivariate statistical analysis. A priori and a posteriori predictive models were built using stepwise multiple linear regressions. A fourfold cross-validation was performed, and models? performance was evaluated using the root mean square error (RMSE), mean absolute percentage error (MAPE), coefficient of determination (R²), and linear correlation coefficient (r).ResultsMultivariate analysis proved technical parameters to overweight clinical complexity indices with PSD mainly affected by fluoroscopy time, tube voltage, tube current, distance to detector, and tube angulation for PCI. For CTO, these were body mass index, tube voltage, and fluoroscopy contribution. For TAVI, these parameters were sex, fluoroscopy time, tube voltage, and cine acquisitions. When benchmarking the predictive models, the correlation coefficients were r?=?0.45 for the a priori model and r?=?0.89 for the a posteriori model for PCI. These were 0.44 and 0.67, respectively, for the CTO a priori and a posteriori models, and 0.58 and 0.74, respectively, for the TAVI a priori and a posteriori models.ConclusionA priori predictive models can help operators estimate the PSD before performing the intervention while a posteriori models are more accurate estimates and can be useful in the absence of skin dose mapping solutions",
journal = "Acta Radiologica",
title = "Establishing a priori and a posteriori predictive models to assess patients’ peak skin dose in interventional cardiology. Part 2: results of the VERIDIC project",
doi = "10.1177/02841851211062089"
}

Feghali, J. A., Delépierre, J., Ciraj-Bjelac, O., Dabin, J., Deleu, M., De Monte, F., Dobrić, M. R., Gallagher, A., Hadid-Beurrier, L., Henry, P., Hršak, H., Kiernan, T., Kumar, R., Knežević, Ž., Maccia, C., Majer, M., Malchair, F., Noble, S., Obrad, D., Merce, M. S., Sideris, G., Simantirakis, G., Spaulding, C., Tarantini, G.,& Van Ngoc Ty, C.. (2021). Establishing a priori and a posteriori predictive models to assess patients’ peak skin dose in interventional cardiology. Part 2: results of the VERIDIC project. in Acta Radiologica.
https://doi.org/10.1177/02841851211062089

Feghali JA, Delépierre J, Ciraj-Bjelac O, Dabin J, Deleu M, De Monte F, Dobrić MR, Gallagher A, Hadid-Beurrier L, Henry P, Hršak H, Kiernan T, Kumar R, Knežević Ž, Maccia C, Majer M, Malchair F, Noble S, Obrad D, Merce MS, Sideris G, Simantirakis G, Spaulding C, Tarantini G, Van Ngoc Ty C. Establishing a priori and a posteriori predictive models to assess patients’ peak skin dose in interventional cardiology. Part 2: results of the VERIDIC project. in Acta Radiologica. 2021;.
doi:10.1177/02841851211062089 .

Feghali, Joelle Ann, Delépierre, Julie, Ciraj-Bjelac, Olivera, Dabin, Jérémie, Deleu, Marine, De Monte, Francesca, Dobrić, Milan R., Gallagher, Aoife, Hadid-Beurrier, Lama, Henry, Patrick, Hršak, Hrvoje, Kiernan, Tom, Kumar, Rajesh, Knežević, Željka, Maccia, Carlo, Majer, Marija, Malchair, Françoise, Noble, Stéphane, Obrad, Davor, Merce, Marta Sans, Sideris, Georgios, Simantirakis, George, Spaulding, Christian, Tarantini, Giuseppe, Van Ngoc Ty, Claire, "Establishing a priori and a posteriori predictive models to assess patients’ peak skin dose in interventional cardiology. Part 2: results of the VERIDIC project" in Acta Radiologica (2021),
https://doi.org/10.1177/02841851211062089 . .