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4. Prevalence of diabetes mellitus in Spanish primary care setting and its association with cardiovascular risk factors and cardiovascular diseases. SIMETAP-DM study

Author

Ruiz-García, Antonio, Arranz-Martínez, Ezequiel, García-Álvarez, Juan Carlos, García-Fernández, María Eugenia, Palacios-Martínez, David, Montero-Costa, Alejandra, Ciria-de-Pablo, Cristina, López-Uriarte, Beatriz, García-Pliego, Rosa Ana, Chao-Escuer, Paula, Zafra-Urango, Concepción, Alcaraz-Bethencourt, Amelia, Redondo-de-Pedro, Sonia, Escamilla-Guijarro, Nuria, Pascual-Val, Teresa, Vieira-Pascual, María Carmen, Martínez-Irazusta, Juncal, Martínez-Cid-de-Rivera, Eva, Rodríguez-de-Cossío, Ángela, de-Prado-Prieto, Lidia, Adrián-Sanz, Mercedes, Minguela-Puras, María Esther, Blanco-Canseco, José Manuel, Rubio-Villar, Mercedes, Berbil-Bautista, María Luisa, Hueso-Quesada, Rosa, Plata-Barajas, María Teresa, Redondo-Sánchez, Mercedes, Durán-Tejada, María Rosario, García-Redondo, María Rosa, Sánchez-Herráiz, Miriam, Rey-López, Ana María, García-García-Alcañiz, María Prado, Abad-Schilling, Clara, Hidalgo-Calleja, Yolanda, and Rivera-Teijido, Montserrat

Published
2020
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5. Prevalence of erectile dysfunction in Spanish primary care setting and its association with cardiovascular risk factors and cardiovascular diseases. SIMETAP-ED study

Author

Abad-Schilling, C., Adrián-Sanz, M., Aguilera-Reija, P., Alcaraz-Bethencourt, A., Alonso-Roca, R., Álvarez-Benedicto, R., Arranz-Martínez, E., Arribas-Álvaro, P., Baltuille-Aller, M.C., Barrios-Rueda, E., Benito-Alonso, E., Berbil-Bautista, M.L., Blanco-Canseco, J.M., Caballero-Ramírez, N., Cabello-Igual, P., Cabrera-Vèc)lez, R., Calderín-Morales, M.P., Capitán-Caldas, M., Casaseca-Calvo, T.F., Cique-Herráinz, J.A., Ciria-de-Pablo, C., Chao-Escuer, P., Dávila-Blázquez, G., de-la-Peña-Antón, N., de-Prado-Prieto, L., del-Villar-Redondo, M.J., Delgado-Rodríguez, S., Díez-Pèc)rez, M.C., Durán-Tejada, M.R., Escamilla-Guijarro, N., Escrivá-Ferrairó, R.A., Fernández-Vicente, T., Fernández-Pacheco-Vila, D., Frías-Vargas, M.J., García-Álvarez, J.C., García-Fernández, M.E., García-García-Alcañiz, M.P., García-Granado, M.D., García-Pliego, R.A., García-Redondo, M.R., García-Villasur, M.P., Gómez-Díaz, E., Gómez-Fernández, O., González-Escobar, P., González-Posada-Delgado, J.A., Gutièc)rrez-Sánchez, I., Hernández-Beltrán, M.I., Hernández-de-Luna, M.C., Hernández-López, R.M., Hidalgo-Calleja, Y., Holgado-Catalán, M.S., Hombrados-Gonzalo, M.P., Hueso-Quesada, R., Ibarra-Sánchez, A.M., Iglesias-Quintana, J.R., Íscar-Valenzuela, I., Iturmendi-Martínez, N., Javierre-Miranda, A.P., López-Uriarte, B., Lorenzo-Borda, M.S., Luna-Ramírez, S., Macho-del-Barrio, A.I., Marañón-Henrich, N., Mariño-Suárez, J.E., Martín-Calle, M.C., Martín-Fernández, A.I., Martínez-Cid-de-Rivera, E., Martínez-Irazusta, J., Migueláñez-Valero, A., Minguela-Puras, M.E., Montero-Costa, A., Mora-Casado, C., Morales-Cobos, L.E., Morales-Chico, M.R., Moreno-Fernández, J.C., Moreno-Muñoz, M.S., Palacios-Martínez, D., Pascual-Val, T., Pèc)rez-Fernández, M., Pèc)rez-Muñoz, R., Plata-Barajas, M.T., Pleite-Raposo, R., Prieto-Marcos, M., Quintana-Gómez, J.L., Redondo-de-Pedro, S., Redondo-Sánchez, M., Reguillo-Díaz, J., Remón-Pèc)rez, B., Revilla-Pascual, E., Rey-López, A.M., Ribot-Catalá, C., Rico-Pèc)rez, M.R., Rivera-Teijido, M., Rodríguez-Cabanillas, R., Rodríguez-de-Cossío, A., Rodríguez-de-Mingo, E., Rodríguez-Rodríguez, A.O., Rosillo-González, A., Rubio-Villar, M., Ruiz-Díaz, L., Ruiz-García, A., Sánchez-Calso, A., Sánchez-Herráiz, M., Sánchez-Ramos, M.C., Sanchidrián-Fernández, P.L., Sandín-de-Vega, E., Sanz-Pozo, B., Sanz-Velasco, C., Sarriá-Sánchez, M.T., Simonaggio-Stancampiano, P., Tello-Meco, I., Vargas-Machuca-Cabañero, C., Velazco-Zumarrán, J.L., Vieira-Pascual, M.C., Zafra-Urango, C., Zamora-Gómez, M.M., Zarzuelo-Martín, N., Ruiz-García, Antonio, Arranz-Martínez, Ezequiel, Cabrera-Vèc)lez, Roberto, Palacios-Martínez, David, Rivera-Teijido, Montserrat, García-Álvarez, Juan Carlos, Morales-Cobos, Luis Enrique, Moreno-Fernández, Juan Carlos, García-Fernández, María Eugenia, Peña-Antón, Nuria, Díez-Pèc)rez, Maria Cruz, Montero-Costa, Alejandra, Lorenzo-Borda, María Soledad, García-Granado, María Dolores, Casaseca-Calvo, Teresa Fátima, Cique-Herráinz, Juan A., García-Villasur, María Paloma, Marañón-Henrich, Nuria, Zarzuelo-Martín, Nieves, Baltuille-Aller, María Camino, Arribas-Álvaro, Pilar, Macho-Barrio, Ana Isabel, Ribot-Catalá, Carlos, Capitán-Caldas, Mercedes, Ciria-de-Pablo, Cristina, Sanz-Velasco, Carmelina, Vargas-Machuca-Cabañero, Concepción, Simonaggio-Stancampiano, Paula, Cabello-Igual, María Pilar, and Sarria-Sánchez, María Teresa

Published
2019
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6. Population and methodology of the SIMETAP study: Prevalence of cardiovascular risk factors, cardiovascular diseases, and related metabolic diseases

Author

Ruiz-García, Antonio, Arranz-Martínez, Ezequiel, García-Álvarez, Juan Carlos, Morales-Cobos, Luis Enrique, García-Fernández, María Eugenia, de la Peña-Antón, Nuria, Martín Calle, María Carmen, Díez Pérez, M. Cruz, Montero Costa, Alejandra, Palacios Martínez, David, García Villasur, M. Paloma, García Granado, M.a Dolores, Lorenzo Borda, M. Soledad, Cique Herráinz, Juan A., Marañón Henrich, Nuria, Zarzuelo Martín, Nieves, Baltuille Aller, M. del Camino, Casaseca Calvo, Teresa Fátima, Arribas Álvaro, Pilar, Macho del Barrio, Ana Isabel, Moreno Fernández, Juan Carlos, Ribot Catalá, Carlos, Capitán Caldas, Mercedes, Ciria de Pablo, Cristina, Sanz Velasco, Carmelina, Simonaggio Stancampiano, Paula, Vargas-Machuca Cabañero, Concepción, Sarriá Sánchez, M. Teresa, Gómez Díaz, Esther, Sanz Pozo, Blanca, Rodríguez de Mingo, Enrique, Cabello Igual, M. Pilar, Rico Pérez, M. Rosario, Migueláñez Valero, Alfonso, Alcaraz Bethencourt, Amelia, Zafra Urango, Concepción, Chao Escuer, Paula, Redondo de Pedro, Sonia, Escamilla Guijarro, Nuria, López Uriarte, Beatriz, and Rivera Teijido, Montserrat

Published
2018
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8. Development of a multi-layer quality assurance program to evaluate the uncertainty of deformable dose accumulation in adaptive radiotherapy.

Author

Hualiang Zhong, Garcia-Alvarez, Juan A., Kainz, Kristofer, An Tai, Ergun Ahunbay, Erickson, Beth, Schultz, Christopher J., and Li, X. Allen

Subjects
*QUALITY assurance, *SUBROUTINES (Computer programs), *IMAGE registration, *VECTOR fields, *HEISENBERG uncertainty principle
Abstract

Purpose: Deformable dose accumulation (DDA) has uncertainties which impede the implementation of DDA-based adaptive radiotherapy (ART) in clinic. The purpose of this study is to develop a multi-layer quality assurance (MLQA) program to evaluate uncertainties in DDA. Methods: A computer program is developed to generate a pseudo-inverse displacement vector field (DVF) for each deformable image registration (DIR) performed in Accuray’s PreciseART. The pseudo-inverse DVF is first used to calculate a pseudo-inverse consistency error (PICE) and then implemented in an energy and mass congruent mapping (EMCM) method to reconstruct a deformed dose. The PICE is taken as a metric to estimate DIR uncertainties. A pseudo-inverse dose agreement rate (PIDAR) is used to evaluate the consequence of the DIR uncertainties in DDA and the principle of energy conservation is used to validate the integrity of dose mappings. The developed MLQA program was tested using the data collected from five representative cancer patients treated with tomotherapy. Results: DIRs were performed in PreciseART to generate primary DVFs for the five patients. The fidelity index and PICE of these DVFs on average are equal to 0.028 mm and 0.169 mm, respectively.With the criteria of 3 mm/3% and 5 mm/5%,the PIDARs of the PreciseART-reconstructed doses are 73.9 ± 4.4% and 87.2 ± 3.3%, respectively. The PreciseART and EMCM-based dose reconstructions have their deposited energy changed by 5.6 ± 3.9% and 2.6 ± 1.5% in five GTVs, and by 9.2 ± 7.8% and 4.7 ± 3.6% in 30 OARs, respectively. Conclusions: A pseudo-inverse map-based EMCM program has been developed to evaluate DIR and dose mapping uncertainties. This program could also be used as a sanity check tool for DDA-based ART. [ABSTRACT FROM AUTHOR]

Published
2023
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9. Use of a DVH overlay technique for quality assurance of deformable image registration‐based dose accumulation.

Author

Kainz, Kristofer, Garcia Alvarez, Juan, Zhong, Hualiang, Lim, Sara, Ahunbay, Ergun, Tai, An, Erickson, Beth, Lawton, Colleen, and Li, X. Allen

Subjects
*IMAGE registration, *QUALITY assurance, *COMPUTED tomography, *ESTIMATION theory, *PELVIS, *RECTUM, *BLADDER
Abstract

Purpose: We present a DVH overlay technique as a quality assurance (QA) metric for deformable image registration‐based dose accumulation (DIR‐DA). We use the technique to estimate the uncertainty in a DIR‐DA for a revised treatment plan, and to compare two different DIR algorithms. Materials and methods: The required inputs to the DVH overlay workflow are deformably registered primary and secondary images, primary regions‐of‐interest (ROIs), and secondary dose distribution. The primary ROIs were forward warped to the secondary image, the secondary dose was inversely warped to the primary image, and the DVHs for each image were compiled. Congruent DVHs imply minimal inverse consistency error (ICE) within an ROI. For a pancreas case re‐planned after 21 fractions of a 29‐fraction course, the workflow was used to quantify dose accumulation error attributable to ICE, based on a hybrid contour‐and‐intensity‐based DIR. The usefulness of the workflow was further demonstrated by assessing the performance of two DIR algorithms (one free‐form intensity‐based, FFIB, the other using normalized correlation coefficients, NCC, over small neighborhood patches) as applied toward kilovoltage computed tomography (kVCT)‐to‐megavoltage computed tomography (MVCT) registration and five‐fraction dose accumulation of ten male pelvis cases. Results: For the re‐planned pancreas case, when applying the DVH‐overlay‐based uncertainties the resulting accumulated dose remained compliant with all but two of the original plan objectives. Among the male pelvis cases, FFIB and NCC DIR showed good invertibility within the planning target volume (PTV), according to the DVH overlay QA results. NCC DIR exhibited better invertibility for the bladder and rectum compared with FFIB. However, compared with FFIB, NCC DIR exhibited less regional deformation for the bladder and a tendency for increased local contraction of the rectum ROI. For the five‐fraction summations, ICE for the PTV V100%Rx is comparable for both algorithms (FFIB 0.8 ± 0.7%, NCC 0.7 ± 0.3%). For the bladder and rectum V70%Rx, ICE is greater for FFIB (1.8 ± 0.7% for bladder, 1.7 ± 0.6% for rectum) than for NCC (1.0 ± 0.3% for bladder, 1.0 ± 0.4% for rectum). Conclusions: The DVH overlay technique identified instances in which a DIR exhibits favorable invertibility, implying low ICE in a DIR‐based dose accumulation. Differences in the overlaid DVHs can also estimate dose accumulation errors attributable to ICE for given ROIs. [ABSTRACT FROM AUTHOR]

Published
2022
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10. Development of a multi-layer quality assurance program to evaluate the uncertainty of deformable dose accumulation in adaptive radiotherapy.

Author

Zhong H, Garcia-Alvarez JA, Kainz K, Tai A, Ahunbay E, Erickson B, Schultz CJ, and Li XA

Subjects
Humans, Uncertainty, Algorithms, Software, Radiotherapy Planning, Computer-Assisted methods, Image Processing, Computer-Assisted methods, Radiotherapy Dosage, Neoplasms, Radiotherapy, Intensity-Modulated
Abstract

Purpose: Deformable dose accumulation (DDA) has uncertainties which impede the implementation of DDA-based adaptive radiotherapy (ART) in clinic. The purpose of this study is to develop a multi-layer quality assurance (MLQA) program to evaluate uncertainties in DDA., Methods: A computer program is developed to generate a pseudo-inverse displacement vector field (DVF) for each deformable image registration (DIR) performed in Accuray's PreciseART. The pseudo-inverse DVF is first used to calculate a pseudo-inverse consistency error (PICE) and then implemented in an energy and mass congruent mapping (EMCM) method to reconstruct a deformed dose. The PICE is taken as a metric to estimate DIR uncertainties. A pseudo-inverse dose agreement rate (PIDAR) is used to evaluate the consequence of the DIR uncertainties in DDA and the principle of energy conservation is used to validate the integrity of dose mappings. The developed MLQA program was tested using the data collected from five representative cancer patients treated with tomotherapy., Results: DIRs were performed in PreciseART to generate primary DVFs for the five patients. The fidelity index and PICE of these DVFs on average are equal to 0.028 mm and 0.169 mm, respectively. With the criteria of 3 mm/3% and 5 mm/5%, the PIDARs of the PreciseART-reconstructed doses are 73.9 ± 4.4% and 87.2 ± 3.3%, respectively. The PreciseART and EMCM-based dose reconstructions have their deposited energy changed by 5.6 ± 3.9% and 2.6 ± 1.5% in five GTVs, and by 9.2 ± 7.8% and 4.7 ± 3.6% in 30 OARs, respectively., Conclusions: A pseudo-inverse map-based EMCM program has been developed to evaluate DIR and dose mapping uncertainties. This program could also be used as a sanity check tool for DDA-based ART., (© 2022 American Association of Physicists in Medicine.)

Published
2023
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