Contrast Media & Molecular Imaging

Molecular Imaging for Basic Science and Personalized and Intelligent Medicine


Publishing date
01 Sep 2019
Status
Closed
Submission deadline
26 Apr 2019

Lead Editor

1University of Rome Tor Vergata, Rome, Italy

2San Raffaele University, Rome, Italy

3Massachusetts General Hospital and Harvard Medical School, Boston, USA

4Università della Svizzera Italiana (USI), Bellinzona, Switzerland

This issue is now closed for submissions.
More articles will be published in the near future.

Molecular Imaging for Basic Science and Personalized and Intelligent Medicine

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Personalized medicine is one of the main objectives of both basic and translational research within the larger paradigm of the so-called P4 medicine (Predictive, Preventive, Personalized, and Participatory). In order to achieve this goal and specifically to tailor therapeutic interventions to interindividual variability and the unique pathophysiological profiles of individual patients, synergistic and transdisciplinary data integration modelling and interpretation are indispensable. In the last three years, unique breakthroughs in the field of artificial intelligence (and deep learning in particular) have unlocked access to unprecedented data integration and prediction capabilities, allowing the seamless combination of information from, e.g., nuclear medicine, radiology, and anatomic pathology. On the data side, biomedical imaging in general and molecular imaging in particular can provide a foundation for the quantitative study of underlying mechanisms involved in human diseases and thus identify new promising molecular targets for both diagnosis and therapy. Therefore, the construction of a structured transdisciplinary collaboration and mutual enhancement model, both at a clinical and basic research level, can greatly accelerate the quest towards real, implementable personalized medicine strategies.

The focus of this special issue will be research dealing with potential new molecular targets for human disease therapy through the application of medical imaging techniques (e.g., radiological, molecular imaging, histopathology) and their integration using artificial intelligence. In particular, the special issue will be focused on in vitro, preclinical, and clinical investigations reporting findings aiming to advance the field of personalized medicine. Review articles focused on these topics are also welcome.

Potential topics include but are not limited to the following:

  • Management of patients in the digital era: from basic science to personalized medicine
  • Identification of new early prognostic/predictive biomarkers of oncological diseases
  • New approaches for diagnosis and treatment of neurological disorders
  • Emerging protocols for imaging of chronic inflammatory diseases
  • Biomedical imaging data integration through artificial intelligence approaches
  • Imaging mouse models of human diseases
  • Deep learning for joint multiscale biomedical image analysis (e.g., from digital pathology to brain and body imaging)
  • Artificial intelligence techniques for assisted diagnosis and prediction of longitudinal disease progression
  • Analysis of clinical appropriateness through machine learning
  • Prediction of clinical, neurophysiological, or molecular outcome measures through deep learning approaches
  • Deep learning in nuclear medicine and molecular imaging
  • Radiomics and deep learning in medical imaging

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 6341545
  • - Research Article

Empirical and Theoretical Characterization of the Diffusion Process of Different Gadolinium-Based Nanoparticles within the Brain Tissue after Ultrasound-Induced Permeabilization of the Blood-Brain Barrier

Allegra Conti | Rémi Magnin | ... | Benoit Larrat
  • Special Issue
  • - Volume 2019
  • - Article ID 3515080
  • - Research Article

Prediction of Chemotherapy Response of Osteosarcoma Using Baseline 18F-FDG Textural Features Machine Learning Approaches with PCA

Su Young Jeong | Wook Kim | ... | Sang-Keun Woo
  • Special Issue
  • - Volume 2019
  • - Article ID 9429761
  • - Review Article

Combining Diagnostic Imaging and Pathology for Improving Diagnosis and Prognosis of Cancer

Orazio Schillaci | Manuel Scimeca | ... | Elena Bonanno
  • Special Issue
  • - Volume 2019
  • - Article ID 1545747
  • - Research Article

Evaluation of an AI-Powered Lung Nodule Algorithm for Detection and 3D Segmentation of Primary Lung Tumors

Thomas Weikert | Tugba Akinci D’Antonoli | ... | Alexander W. Sauter
  • Special Issue
  • - Volume 2019
  • - Article ID 6315954
  • - Research Article

Synthesis and Preclinical Evaluation of the Fibrin-Binding Cyclic Peptide 18F-iCREKA: Comparison with Its Contrasted Linear Peptide

Yin Zhang | Lijuan Wang | ... | Quanshi Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 3548284
  • - Review Article

Assessment of Body Composition in Health and Disease Using Bioelectrical Impedance Analysis (BIA) and Dual Energy X-Ray Absorptiometry (DXA): A Critical Overview

Maurizio Marra | Rosa Sammarco | ... | Franco Contaldo
  • Special Issue
  • - Volume 2019
  • - Article ID 1071453
  • - Review Article

MR Imaging-Histology Correlation by Tailored 3D-Printed Slicer in Oncological Assessment

D. Baldi | M. Aiello | ... | C. Cavaliere
Contrast Media & Molecular Imaging
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Acceptance rate58%
Submission to final decision65 days
Acceptance to publication40 days
CiteScore4.000
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Impact Factor3.161
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