Sebastia Sabater

Dr. Sebastia Sabater

Complejo Hospitalario Universitario de Albacete, Albacete, Castille-La Mancha, Spain
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2018 in Radiology
Verified
Journal Article
Closed access
RBRoberto Berenguer
Roberto Berenguer
MPMaría del Rosario Pastor-Juan
María del Rosario Pastor-Juan
JCJesús Canales-Vázquez
Jesús Canales-Vázquez
MCMiguel Castro-García
Miguel Castro-García
MVMaría Victoria Villas
María Victoria Villas
SSSebastia Sabater
Sebastia Sabater
The majority (94%) of the evaluated radiomics features for CT were not reproducible and were redundant. If all the CT parameters are held constant, then a smaller percentage (6%) of the radiomics features were reproducible and contained independent information. Purpose To identify the reproducible and nonredundant radiomics features (RFs) for computed tomography (CT). Materials and Methods Two phantoms were used to test RF reproducibility by using test-retest analysis, by changing the CT acquisition parameters (hereafter, intra-CT analysis), and by comparing five different scanners with the same CT parameters (hereafter, inter-CT analysis). Reproducible RFs were selected by using the concordance correlation coefficient (as a measure of the agreement between variables) and the coefficient of variation (defined as the ratio of the standard deviation to the mean). Redundant features were grouped by using hierarchical cluster analysis. Results A total of 177 RFs including intensity, shape, and texture features were evaluated. The test-retest analysis showed that 91% (161 of 177) of the RFs were reproducible according to concordance correlation coefficient. Reproducibility of intra-CT RFs, based on coefficient of variation, ranged from 89.3% (151 of 177) to 43.1% (76...

17 January 2024 in Insights into Imaging
Verified
Journal Article
Open access
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BKBurak Kocak
Burak Kocak
TDTugba Akinci D'Antonoli
Tugba Akinci D'Antonoli
NMNathaniel Mercaldo
Nathaniel Mercaldo
AAAngel Alberich-Bayarri
Angel Alberich-Bayarri
BBBettina Baeßler
Bettina Baeßler
Renato CuocoloRenato Cuocolo
Renato Cuocolo
Purpose: To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods: We conducted an online modified Delphi study with a group of international experts. It was performed in three consecutive stages: Stage#1, item preparation; Stage#2, panel discussion among EuSoMII Auditing Group members to identify the items to be voted; and Stage#3, four rounds of the modified Delphi exercise by panelists to determine the items eligible for the METRICS and their weights. The consensus threshold was 75%. Based on the median ranks derived from expert panel opinion and their rank-sum based conversion to importance scores, the category and item weights were calculated. Result: In total, 59 panelists from 19 countries participated in selection and ranking of the items and categories. Final METRICS tool included 30 items within 9 categories. According to their weights, the categories were in descending order of importance: study design, imaging data, image processing and feature extraction, metrics and comparison, testing, feature processing, preparation for modeling, segmentation, and open science. A web application and a repository were developed to streamline the calculation of the METRICS score and to collect feedback from the radiomics community. Conclusion: In this work, we developed a scoring tool for assessing the methodological quality of the radiomics research, with a large international panel and a modified Delphi protocol. With its conditional format to cover methodological variations, it provides a well-constructed framework for the key methodological concepts to assess the quality of radiomic research papers. Critical relevance statement: A quality assessment tool, METhodological RadiomICs Score (METRICS), is made available by a large group of international domain experts, with transparent methodology, aiming at evaluating and improving research quality in radiomics and machine learning. Key points: • A methodological scoring tool, METRICS, was developed for assessing the quality of radiomics research, with a large international expert panel and a modified Delphi protocol. • The proposed scoring tool presents expert opinion-based importance weights of categories and items with a transparent methodology for the first time. • METRICS accounts for varying use cases, from handcrafted radiomics to entirely deep learning-based pipelines. • A web application has been developed to help with the calculation of the METRICS score (https://metricsscore.github.io/metrics/METRICS.html) and a repository created to collect feedback from the radiomics community (https://github.com/metricsscore/metrics). Graphical

22 August 2012 in Strahlentherapie und Onkologie
Verified
Journal Article
Closed access
PDF file
Meritxell ArenasMeritxell Arenas
Meritxell Arenas
SSSebastia Sabater
Sebastia Sabater
VHV. Hernández
V. Hernández
Ángeles RovirosaÁngeles Rovirosa
Ángeles Rovirosa
PLP.C. Lara
P.C. Lara
JPJ. Panés
J. Panés

1 April 1999 in International Journal of Radiation Oncology, Biology, Physics
Verified
Journal Article
Closed access
FFFerran Ferrer
Ferran Ferrer
SSSebastia Sabater
Sebastia Sabater
BFBlanca Farrús
Blanca Farrús
FGFerran Guedea
Ferran Guedea
Ángeles RovirosaÁngeles Rovirosa
Ángeles Rovirosa
NDNicolas Daly-Schveitzer
Nicolas Daly-Schveitzer

1 June 2019 in Cancer Letters
Verified
Journal Article
Closed access
DFDiego M. Fernández-Aroca
Diego M. Fernández-Aroca
ORO. Roche
O. Roche
SSSebastia Sabater
Sebastia Sabater
RPR. Pascual-Serra
R. Pascual-Serra
MOM. Ortega-Muelas
M. Ortega-Muelas
RSRicardo s Sánchez-Prieto
Ricardo s Sánchez-Prieto

1 January 2017 in Journal of Contemporary Brachytherapy
Verified
Journal Article
Open access
Meritxell ArenasMeritxell Arenas
Meritxell Arenas
SSSebastia Sabater
Sebastia Sabater
ASAndreu Sintas
Andreu Sintas
MAMonica Arguís
Monica Arguís
VHVíctor Hernández
Víctor Hernández
DPDoménec Puig
Doménec Puig
Purpose: Skin cancer is the most common tumor in the population. There are different therapeutic modalities. Brachytherapy is one of the techniques used, in which it is necessary to build customized moulds for some patients. Currently, these moulds are made by hand using rudimentary...