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2008 1
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2022 5
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Page 1
Radiomics: the bridge between medical imaging and personalized medicine.
Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, Sanduleanu S, Larue RTHM, Even AJG, Jochems A, van Wijk Y, Woodruff H, van Soest J, Lustberg T, Roelofs E, van Elmpt W, Dekker A, Mottaghy FM, Wildberger JE, Walsh S. Lambin P, et al. Nat Rev Clin Oncol. 2017 Dec;14(12):749-762. doi: 10.1038/nrclinonc.2017.141. Epub 2017 Oct 4. Nat Rev Clin Oncol. 2017. PMID: 28975929 Review.
Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining i …
Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted …
A review in radiomics: Making personalized medicine a reality via routine imaging.
Guiot J, Vaidyanathan A, Deprez L, Zerka F, Danthine D, Frix AN, Lambin P, Bottari F, Tsoutzidis N, Miraglio B, Walsh S, Vos W, Hustinx R, Ferreira M, Lovinfosse P, Leijenaar RTH. Guiot J, et al. Med Res Rev. 2022 Jan;42(1):426-440. doi: 10.1002/med.21846. Epub 2021 Jul 26. Med Res Rev. 2022. PMID: 34309893 Free article. Review.
Radiomics is the quantitative analysis of standard-of-care medical imaging; the information obtained can be applied within clinical decision support systems to create diagnostic, prognostic, and/or predictive models. ...For these reasons the present review aims to b …
Radiomics is the quantitative analysis of standard-of-care medical imaging; the information obtained can be applied within clinical decis …
Decision support systems for personalized and participative radiation oncology.
Lambin P, Zindler J, Vanneste BG, De Voorde LV, Eekers D, Compter I, Panth KM, Peerlings J, Larue RT, Deist TM, Jochems A, Lustberg T, van Soest J, de Jong EE, Even AJ, Reymen B, Rekers N, van Gisbergen M, Roelofs E, Carvalho S, Leijenaar RT, Zegers CM, Jacobs M, van Timmeren J, Brouwers P, Lal JA, Dubois L, Yaromina A, Van Limbergen EJ, Berbee M, van Elmpt W, Oberije C, Ramaekers B, Dekker A, Boersma LJ, Hoebers F, Smits KM, Berlanga AJ, Walsh S. Lambin P, et al. Adv Drug Deliv Rev. 2017 Jan 15;109:131-153. doi: 10.1016/j.addr.2016.01.006. Epub 2016 Jan 14. Adv Drug Deliv Rev. 2017. PMID: 26774327 Review.
A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being supported by the development of clinical decision support systems based on prediction models of treatment outcome. ...In t …
A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being …
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach.
Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans CR, Dekker A, Quackenbush J, Gillies RJ, Lambin P. Aerts HJ, et al. Nat Commun. 2014 Jun 3;5:4006. doi: 10.1038/ncomms5006. Nat Commun. 2014. PMID: 24892406 Free PMC article.
This may have a clinical impact as imaging is routinely used in clinical practice, providing an unprecedented opportunity to improve decision-support in cancer treatment at low cost....
This may have a clinical impact as imaging is routinely used in clinical practice, providing an unprecedented opportunity to improve deci …
Decision Support Systems in Oncology.
Walsh S, de Jong EEC, van Timmeren JE, Ibrahim A, Compter I, Peerlings J, Sanduleanu S, Refaee T, Keek S, Larue RTHM, van Wijk Y, Even AJG, Jochems A, Barakat MS, Leijenaar RTH, Lambin P. Walsh S, et al. JCO Clin Cancer Inform. 2019 Feb;3:1-9. doi: 10.1200/CCI.18.00001. JCO Clin Cancer Inform. 2019. PMID: 30730766 Free PMC article. Review.
Given this level of complexity and the restriction of human decision making, current methods are untenable. A solution to this challenge is multifactorial decision support systems (DSSs), continuously learning artificial intelligence platforms that integrate …
Given this level of complexity and the restriction of human decision making, current methods are untenable. A solution to this challe …
Decision Support Systems in Prostate Cancer Treatment: An Overview.
van Wijk Y, Halilaj I, van Limbergen E, Walsh S, Lutgens L, Lambin P, Vanneste BGL. van Wijk Y, et al. Biomed Res Int. 2019 Jun 6;2019:4961768. doi: 10.1155/2019/4961768. eCollection 2019. Biomed Res Int. 2019. PMID: 31281840 Free PMC article. Review.
BACKGROUND: A multifactorial decision support system (mDSS) is a tool designed to improve the clinical decision-making process, while using clinical inputs for an individual patient to generate case-specific advice. ...We divided the included studies into dif …
BACKGROUND: A multifactorial decision support system (mDSS) is a tool designed to improve the clinical decision-making …
Radiomics Analysis for Clinical Decision Support in Nuclear Medicine.
Ibrahim A, Vallières M, Woodruff H, Primakov S, Beheshti M, Keek S, Refaee T, Sanduleanu S, Walsh S, Morin O, Lambin P, Hustinx R, Mottaghy FM. Ibrahim A, et al. Semin Nucl Med. 2019 Sep;49(5):438-449. doi: 10.1053/j.semnuclmed.2019.06.005. Epub 2019 Jun 20. Semin Nucl Med. 2019. PMID: 31470936 Free article. Review.
Radiomics - the high-throughput computation of quantitative image features extracted from medical imaging modalities- can be used to aid clinical decision support systems in order to build diagnostic, prognostic, and predictive models, which could ultimately improve …
Radiomics - the high-throughput computation of quantitative image features extracted from medical imaging modalities- can be used to aid cli …
Radiomics: from qualitative to quantitative imaging.
Rogers W, Thulasi Seetha S, Refaee TAG, Lieverse RIY, Granzier RWY, Ibrahim A, Keek SA, Sanduleanu S, Primakov SP, Beuque MPL, Marcus D, van der Wiel AMA, Zerka F, Oberije CJG, van Timmeren JE, Woodruff HC, Lambin P. Rogers W, et al. Br J Radiol. 2020 Apr;93(1108):20190948. doi: 10.1259/bjr.20190948. Epub 2020 Feb 26. Br J Radiol. 2020. PMID: 32101448 Free PMC article. Review.
Radiomics, in its two forms "handcrafted and deep," is an emerging field that translates medical images into quantitative data to yield biological information and enable radiologic phenotypic profiling for diagnosis, theragnosis, decision support, and monitoring. Ha …
Radiomics, in its two forms "handcrafted and deep," is an emerging field that translates medical images into quantitative data to yield biol …
Predicting outcomes in radiation oncology--multifactorial decision support systems.
Lambin P, van Stiphout RG, Starmans MH, Rios-Velazquez E, Nalbantov G, Aerts HJ, Roelofs E, van Elmpt W, Boutros PC, Granone P, Valentini V, Begg AC, De Ruysscher D, Dekker A. Lambin P, et al. Nat Rev Clin Oncol. 2013 Jan;10(1):27-40. doi: 10.1038/nrclinonc.2012.196. Epub 2012 Nov 20. Nat Rev Clin Oncol. 2013. PMID: 23165123 Free PMC article. Review.
With the emergence of individualized medicine and the increasing amount and complexity of available medical data, a growing need exists for the development of clinical decision-support systems based on prediction models of treatment outcome. ...Even after initial de …
With the emergence of individualized medicine and the increasing amount and complexity of available medical data, a growing need exists for …
Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.
Wu G, Yang P, Xie Y, Woodruff HC, Rao X, Guiot J, Frix AN, Louis R, Moutschen M, Li J, Li J, Yan C, Du D, Zhao S, Ding Y, Liu B, Sun W, Albarello F, D'Abramo A, Schininà V, Nicastri E, Occhipinti M, Barisione G, Barisione E, Halilaj I, Lovinfosse P, Wang X, Wu J, Lambin P. Wu G, et al. Eur Respir J. 2020 Aug 20;56(2):2001104. doi: 10.1183/13993003.01104-2020. Print 2020 Aug. Eur Respir J. 2020. PMID: 32616597 Free PMC article.
79 results