Claude Sirlin^1
1Radiology, UCSD Medical Center, San Diego, CA, United States

This case-based lecture will briefly review basic LI-RADS concepts and then illustrate the use of LI-RADS to categorize liver observations.

Naoko Mori^1
1Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan

There are already several established advantages of using DWI to diagnose breast cancer. Standardization and improvement of technology should be made to expand the clinical application of DWI in the future.

Harriet Thoeny

This presentation provides a short description of PI-RADS v2. It provides discussion of some of the key differences and improvements comparedwith PI-RADS v1 and is focussed on the assessment criteria for detection and diagnosis of significant PCa on mpMRI examinations and clinical uses and limitations. 

Christiane Kuhl

Overdiagnosis is an important issue in oncologic radiology.  Avoiding diagnosis of disease altogether in order to avoid overdiagnosis is, however, probably not the best solution to the problem.  Choosing appropriate Treatment based on Imaging as well as proteomic and genomic Information is probably more useful. Moreover, overdiagnosis is not the most important concern of current Screening programs - rather, under-diagnosis is. MRI is probably the best method to avoid both, over- as well as underdiagnosis 

Alberto Bizzi

Nariya Cho^1
1Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea, Republic of

Features of undiagnosed breast cancers on prior screening US and screening MRI of patients with breast cancers diagnosed on subsequent screening examinations will be presented.

Ralph Peter Mason^1
1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States

Historically, radiology/imaging has served to identify tumors in terms of location, size, and metastatic spread. It is increasingly recognized that tumors may exhibit very different micro environmental characteristics, which can influence therapeutic success. A new goal is precision oncology, whereby individual tumors are further characterized based on potential prognostic imagine biomarkers. Tumor hypoxia is associated with aggressive phenotypes and resistance to therapy and may be the most significant factor influencing therapy outcomes for solid tumors. Many NMR approaches are being developed and evaluated to measure tumor oxygenation. This review will consider human applications of oxygen sensitive MRI in the context of pre-clinical developments. Strengths and weaknesses in terms of temporal and spatial resolution, precision and accuracy, ease of implementation and robustness of observations will be considered. Methods may provide qualitative or quantitative insights including dynamic response to interventions.

Kristine Glunde, Samata Kakkad, and Zaver M. Bhujwalla

The tumor stroma, and in particular the Col1 fiber meshwork, plays an important role in cancer migration and metastasis. Novel MRI approaches such as macromolecular contrast agent based DCE MRI and DTI can be applied to noninvasively detect critical features of the Col1 fiber network in tumors.

Heike Elisabeth Daldrup-Link^1
1Department of Radiology, Stanford University, Stanford, CA, United States

Phillip Zhe Sun^1
1Martinos Center, MGH and Harvard Medical School

Tumor CEST MRI has emerged as a molecular imaging approach to characterize complex microenvironment, including protein/peptide, glutamate, exogenous glucose and artificial reporter gene MRI. Despite their diverse names, variant CEST imaging methods provide complementary information about the underlying tumor pathophysiology and it is helpful to provide a semi-quantitative overview to understand their potential clinical applications.

Radka Stoyanova^1
1University of Miami, FL, United States

“Radiomics” refers to the extraction and analysis of large amounts of advanced quantitative imaging features from medical images using high throughput methods. In this syllabus MRI radiomics features and extraction are described; second, examples of applications of radiomics in glioblastoma multiforme (GBM) and prostate cancer are reviewed and lastly the importance of incorporating radiomics features in clinical databases is discussed. 

Carlo Catalano