Literature DB >> 34812912

Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment.

Andrea Ponsiglione1, Arnaldo Stanzione1, Renato Cuocolo2,3, Raffaele Ascione1, Michele Gambardella1, Marco De Giorgi1, Carmela Nappi1, Alberto Cuocolo1, Massimo Imbriaco1.   

Abstract

OBJECTIVE: To systematically review and evaluate the methodological quality of studies using magnetic resonance imaging (MRI) and computed tomography (CT) radiomics for cardiac applications.
METHODS: Multiple medical literature archives (PubMed, Web of Science, and EMBASE) were systematically searched to retrieve original studies focused on cardiac MRI and CT radiomics applications. Two researchers in consensus assessed each investigation using the radiomics quality score (RQS). Subgroup analyses were performed to assess whether the total RQS varied according to study aim, journal quartile, imaging modality, and first author category.
RESULTS: From a total of 1961 items, 53 articles were finally included in the analysis. Overall, the studies reached a median total RQS of 7 (IQR, 4-12), corresponding to a percentage score of 19.4% (IQR, 11.1-33.3%). Item scores were particularly low due to lack of prospective design, cost-effectiveness analysis, and open science. Median RQS percentage score was significantly higher in papers where the first author was a medical doctor and in those published on first quartile journals.
CONCLUSIONS: The overall methodological quality of radiomics studies in cardiac MRI and CT is still lacking. A higher degree of standardization of the radiomics workflow and higher publication standards for studies are required to allow its translation into clinical practice. KEY POINTS: • RQS has been recently proposed for the overall assessment of the methodological quality of radiomics-based studies. • The 53 included studies on cardiac MRI and CT radiomics applications reached a median total RQS of 7 (IQR, 4-12), corresponding to a percentage of 19.4% (IQR, 11.1-33.3%). • A more standardized methodology in the radiomics workflow is needed, especially in terms of study design, validation, and open science, in order to translate the results to clinical applications.
© 2021. The Author(s), under exclusive licence to European Society of Radiology.

Entities:  

Keywords:  Cardiovascular system; Magnetic resonance imaging; Multidetector computed tomography; Systematic review

Mesh:

Year:  2021        PMID: 34812912     DOI: 10.1007/s00330-021-08375-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   7.034


  29 in total

Review 1.  Radiomics: The Next Frontier of Cardiac Computed Tomography.

Authors:  Pengpeng Xu; Yi Xue; U Joseph Schoepf; Akos Varga-Szemes; Joseph Griffith; Basel Yacoub; Fan Zhou; Changsheng Zhou; Yuting Yang; Wei Xing; Longjiang Zhang
Journal:  Circ Cardiovasc Imaging       Date:  2021-03-16       Impact factor: 7.792

Review 2.  Cardiac Computed Tomography Radiomics: A Comprehensive Review on Radiomic Techniques.

Authors:  Márton Kolossváry; Miklós Kellermayer; Béla Merkely; Pál Maurovich-Horvat
Journal:  J Thorac Imaging       Date:  2018-01       Impact factor: 3.000

3.  A radiomic nomogram for prediction of major adverse cardiac events in ST-segment elevation myocardial infarction.

Authors:  Quanmei Ma; Yue Ma; Xiaonan Wang; Shanshan Li; Tongtong Yu; Weili Duan; Jiake Wu; Zongyu Wen; Yundi Jiao; Zhaoqing Sun; Yang Hou
Journal:  Eur Radiol       Date:  2020-08-27       Impact factor: 5.315

Review 4.  Radiomics: the bridge between medical imaging and personalized medicine.

Authors:  Philippe Lambin; Ralph T H Leijenaar; Timo M Deist; Jurgen Peerlings; Evelyn E C de Jong; Janita van Timmeren; Sebastian Sanduleanu; Ruben T H M Larue; Aniek J G Even; Arthur Jochems; Yvonka van Wijk; Henry Woodruff; Johan van Soest; Tim Lustberg; Erik Roelofs; Wouter van Elmpt; Andre Dekker; Felix M Mottaghy; Joachim E Wildberger; Sean Walsh
Journal:  Nat Rev Clin Oncol       Date:  2017-10-04       Impact factor: 66.675

5.  Artificial Intelligence Pipeline for Risk Prediction in Cardiovascular Imaging.

Authors:  Karen G Ordovas; Youngho Seo
Journal:  Circ Cardiovasc Imaging       Date:  2020-02-18       Impact factor: 7.792

Review 6.  Myocardial Radiomics in Cardiac MRI.

Authors:  Cameron Hassani; Farhood Saremi; Bino A Varghese; Vinay Duddalwar
Journal:  AJR Am J Roentgenol       Date:  2019-12-04       Impact factor: 3.959

Review 7.  The cardiac conundrum: a systematic review and bibliometric analysis of authorship in cardiac magnetic resonance imaging studies.

Authors:  Renato Cuocolo; Andrea Ponsiglione; Serena Dell'Aversana; Ludovica D'Acierno; Giulia Lassandro; Lorenzo Ugga; Valeria Romeo; Elena Augusta Vola; Arnaldo Stanzione; Francesco Verde; Valentina Picariello; Iolanda Capaldo; Giuseppe Pontillo; Valeria Cantoni; Roberta Green; Mario Petretta; Alberto Cuocolo; Massimo Imbriaco
Journal:  Insights Imaging       Date:  2020-02-27

8.  Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics.

Authors:  Martina Sollini; Lidija Antunovic; Arturo Chiti; Margarita Kirienko
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-18       Impact factor: 9.236

9.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

10.  Cardiac magnetic resonance radiomics: basic principles and clinical perspectives.

Authors:  Zahra Raisi-Estabragh; Cristian Izquierdo; Victor M Campello; Carlos Martin-Isla; Akshay Jaggi; Nicholas C Harvey; Karim Lekadir; Steffen E Petersen
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2020-04-01       Impact factor: 6.875

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  5 in total

Review 1.  GEP-NET radiomics: a systematic review and radiomics quality score assessment.

Authors:  Femke C R Staal; Else A Aalbersberg; Daphne van der Velden; Erica A Wilthagen; Margot E T Tesselaar; Regina G H Beets-Tan; Monique Maas
Journal:  Eur Radiol       Date:  2022-07-26       Impact factor: 7.034

Review 2.  [Artificial intelligence and radiomics : Value in cardiac MRI].

Authors:  Alexander Rau; Martin Soschynski; Jana Taron; Philipp Ruile; Christopher L Schlett; Fabian Bamberg; Tobias Krauss
Journal:  Radiologie (Heidelb)       Date:  2022-08-25

3.  A systematic review of radiomics in pancreatitis: applying the evidence level rating tool for promoting clinical transferability.

Authors:  Jingyu Zhong; Yangfan Hu; Yue Xing; Xiang Ge; Defang Ding; Huan Zhang; Weiwu Yao
Journal:  Insights Imaging       Date:  2022-08-20

4.  Evaluation of MRI-based radiomic features in heart morphologic variations as a consequence of autoimmune thyroid disorders.

Authors:  Oliver Barachini; Michaela Schaer; Siroos Mirzaei; Klaus Hergan; Shahin Zandieh
Journal:  Medicine (Baltimore)       Date:  2022-08-26       Impact factor: 1.817

Review 5.  Dual-Energy CT of the Heart: A Review.

Authors:  Serena Dell'Aversana; Raffaele Ascione; Marco De Giorgi; Davide Raffaele De Lucia; Renato Cuocolo; Marco Boccalatte; Gerolamo Sibilio; Giovanni Napolitano; Giuseppe Muscogiuri; Sandro Sironi; Giuseppe Di Costanzo; Enrico Cavaglià; Massimo Imbriaco; Andrea Ponsiglione
Journal:  J Imaging       Date:  2022-09-01
  5 in total

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