2016 Annual Meeting

Association for Pathology Informatics

Room CC 613-614, March 12 2016, 7:00pm to 10:00pm

Description

Association for Pathology Informatics
A Showcase of Image-based Analytics and Diagnostic Digital Pathology in Clinical Practice and Research
Saturday, March 12, 7:00 PM

Session Credits: 3 CME and 3 SAMs

Moderator: J. Mark Tuthill, MD, Henry Ford Health System, Detroit, MI

2016 will mark the fourth time that the Association of Pathology Informatics (API) will present a companion conference at USCAP. The topic "A Showcase of Image-based Analytics” was chosen by API Program Committee and Training and Education Committee in conjunction with the API’s Govering Council. The Association of Pathology Informatics (API) is managed by a governing council, which meets monthly. This council has established a Program & Education Committee which internally generates a candidate list of timely topics and proposed speakers, which are then forwarded to the greater council for vetting and further refinement. For this year’s companion society symposium, the API council initially tasked the Program Committee to identify subject matter areas of greatest need in the field of pathology informatics and then from that list, identify specific topics and speakers that represented: 1) areas of greatest potential interest and 2) areas where there likely exists a significant knowledge deficit among the general pathology community.

The subject matter in this mini-symposium is suitable for pathologist and pathologists-in-training who have basic to intermediate familiarity with the field of pathology informatics and digital pathology. All presentations are designed to be self-contained, such that any supporting information, should it be required, will also be an integral component of the overall didactic content.

Digital pathology and analytics is being increasingly appreciated as a critical area of pathology practice. The goal of the symposium is to present several aspects of digital pathology and image based analytics, and to apply these approaches to current and future pathology practice As digital pathology becomes more mainstream pathologists and pathologists in training need to not only understand the use of this technology in routine practice, but how this technology will change the pathology practice and research through advanced techniques leveraging image analysis utilizing both content based image retrieval as well as quantitative analysis. Very little exposure to these concepts is available in most pathology practices. This symposium will look at both clinical and research oriented applications of image based analytics.

Upon completion of this educational activity, the participants should be able to:

  1. Have a greater familiarity with the most recent advancement in the growing field of Digital Pathology and image analysis
  2. Understand the requirements for image based analysis of pathology specimens and systems implementation
  3. Understand the opportunities afforded by the availability of digital pathology for computational analysis and creation of decision support analytical tools.
  4. Apply concepts of digital image analysis to clinical practice and research such as multiplex analysis of pathology samples
  5. Present practical examples of image analysis in support of clinical diagnosis and pathology research

Agenda

7:00 PMIntroduction and Symposium Overview
J. Mark Tuthill, MD, Henry Ford Health System, Detroit, MI
7:05 PMImage Analysis in Current Clinical Practice
Liron Pantanowitz, MD, UPMC Shadyside, UPMC Cancer Pavilion, Pittsburgh, PA
7:40 PMStromal/ Tumor Interaction And Digital Analysis
Andrew Beck, MD, Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, MA
8:15 PMAutomated Differential Diagnosis
Ulysses Balis, MD, University of Michigan Health System, Ann Arbor, MI
8:50 PMWhole Slide Imaging In Imaging Research And Clinical Research
Yukako Yagi, PhD, Harvard Medical School, Massachusetts General Hospital, Boston, MA
9:25 PMMultiplex Immunohiostochemistry
Michael Feldman, MD, Hospital of the University of Pennsylvania, Philadelphia, PA

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