Patient Specific Image Driven Evaluation of the Aggressiveness of Metastases to the Lung

Colin, Thierry; Cornelis, F.; Jouganous, Julien; Martin, M.; Saut, Olivier

doi:10.1007/978-3-319-10404-1_69

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…76.5 +/-16.74% of volume concordance). Similar work is presented in [2] involving temporal sequences of CT scans, with smaller scale evaluation (1 real clinical case). In addition, [3] links the mathematical model for tumor growth, calibrated from CT and PET images, with an hyperelastic biomechanical model.…”

Section: Discussion Prediction Of Patient Specific Evolution Of a Dismentioning

confidence: 91%

How Sensor, Signal, and Imaging Informatics May Impact Patient Centered Care and Care Coordination

Moreau–Gaudry¹,

Voros²

2015

Yearb Med Inform

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SummaryObjective: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2015 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2014, with a focus on patient centered care coordination. Methods: The two section editors performed a systematic initial selection and a double blind peer review process to select a list of candidate best papers in the domain published in 2014, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. This selection was peer-reviewed by external reviewers. Results: The review process highlighted articles illustrating two current trends related to care coordination and patient centered care: the enhanced capacity to predict the evolution of a disease based on patient-specific information can impact care coordination; similarly, better perception of the patient and his treatment could lead to enhanced personalized care with a potential impact on care coordination. Conclusions: This review shows the multiplicity of angles from which the question of patient-centered care can be addressed, with consequences on care coordination that will need to be confirmed and demonstrated in the future.

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Section: Discussion Prediction Of Patient Specific Evolution Of a Dismentioning

confidence: 91%

How Sensor, Signal, and Imaging Informatics May Impact Patient Centered Care and Care Coordination

Moreau–Gaudry¹,

Voros²

2015

Yearb Med Inform

View full text Add to dashboard Cite

show abstract

Patient Specific Image Driven Evaluation of the Aggressiveness of Metastases to the Lung

Cited by 1 publication

References 9 publications

How Sensor, Signal, and Imaging Informatics May Impact Patient Centered Care and Care Coordination

How Sensor, Signal, and Imaging Informatics May Impact Patient Centered Care and Care Coordination

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