|J Pathol Inform 2017,
Teaching digital pathology: The international school of digital pathology and proposed syllabus
Vincenzo Della Mea1, Antonino Carbone2, Carla Di Loreto3, Gloria Bueno4, Paolo De Paoli5, Marcial García-Rojo6, David de Mena6, Annunziata Gloghini7, Mohammad Ilyas8, Arvydas Laurinavicius9, Allan Rasmusson9, Massimo Milione7, Riccardo Dolcetti10, Marco Pagani11, Andrea Stoppini11, Sandro Sulfaro12, Michelangelo Bartolo13, Emanuela Mazzon14, H Peter Soyer15, Liron Pantanowitz16
1 Department of Mathematics, Computer Science and Physics, University of Udine, Italy
2 Department of Pathology, Centro di Riferimento Oncologico Aviano, Aviano, Italy
3 Institute of Pathology, Department of Medicine, University of Udine, Italy
4 VISILAB, Universidad de Castilla-La Mancha, Ciudad Real, Spain
5 Scientific Directorate, Centro di Riferimento Oncologico Aviano, Aviano, Italy
6 Department of Pathology, Hospital of Jerez de la Frontera, Jerez de la Frontera, Spain
7 1st Division of Pathology, Department of Pathology and Laboratory Medicine, National Cancer Institute, Milan, Italy
8 Nottingham Molecular Pathology Node and Academic Unit of Pathology, School of Medicine, University of Nottingham, Nottingham, UK
9 National Centre of Pathology and Vilnius University, Vilnius, Lithuania
10 Department of Translational Research, Centro di Riferimento Oncologico Aviano and The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Australia
11 Technical Direction and Activity Management, Bioengineering and Medical Informatics Consortium, Pavia, Italy
12 Division of Pathology, General Hospital “S. Maria degli Angeli”, Pordenone, Italy
13 Telemedicine Service, “San Giovanni Addolorata” Hospital, Rome, Italy
14 Experimental Neurology Laboratory, IRCCS Centre Neurolesi “Bonino-Pulejo”, Messina, Italy
15 Dermatology Research Centre, The University of Queensland Diamantina Institute, TRI, Brisbane, Australia
16 Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, USA
|Date of Submission||18-Feb-2017|
|Date of Acceptance||30-Apr-2017|
|Date of Web Publication||25-Jul-2017|
Vincenzo Della Mea
Department of Mathematics, Computer Science and Physics, University of Udine, Udine
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Digital pathology is an interdisciplinary field where competency in pathology, laboratory techniques, informatics, computer science, information systems, engineering, and even biology converge. This implies that teaching students about digital pathology requires coverage, expertise, and hands-on experience in all these disciplines. With this in mind, a syllabus was developed for a digital pathology summer school aimed at professionals in the aforementioned fields, as well as trainees and doctoral students. The aim of this communication is to share the context, rationale, and syllabus for this school of digital pathology.
Keywords: Curriculum, digital pathology, teaching
|How to cite this article:|
Mea VD, Carbone A, Di Loreto C, Bueno G, De Paoli P, García-Rojo M, de Mena D, Gloghini A, Ilyas M, Laurinavicius A, Rasmusson A, Milione M, Dolcetti R, Pagani M, Stoppini A, Sulfaro S, Bartolo M, Mazzon E, Soyer H P, Pantanowitz L. Teaching digital pathology: The international school of digital pathology and proposed syllabus. J Pathol Inform 2017;8:27
|How to cite this URL:|
Mea VD, Carbone A, Di Loreto C, Bueno G, De Paoli P, García-Rojo M, de Mena D, Gloghini A, Ilyas M, Laurinavicius A, Rasmusson A, Milione M, Dolcetti R, Pagani M, Stoppini A, Sulfaro S, Bartolo M, Mazzon E, Soyer H P, Pantanowitz L. Teaching digital pathology: The international school of digital pathology and proposed syllabus. J Pathol Inform [serial online] 2017 [cited 2022 May 22];8:27. Available from: https://www.jpathinformatics.org/text.asp?2017/8/1/27/211594
| Introduction|| |
The school of digital pathology is an activity organized by AIDPATH. AIDPATH is an Industry Academia Partnerships and Pathways project of the Marie Curie Action European Union's FP7 Framework Programme started in 2013. To date, the AIDPATH collaboration has fostered digital pathology through a series of international activities including networking, workshops, summer schools, and conferences. The AIDPATH project is focused on research, training, and knowledge sharing in the emerging multidisciplinary field of digital pathology.
| Digital Pathology School|| |
A proof of concept of the school was first held in the city of Monza in Italy in June 2015. The second summer school, organized by the University of Udine in conjunction with the Centro Di Riferimento Oncologico (CRO), was held in September 2016 on the Campus of the Oncologic Reference Center in Aviano, Italy. Both events were sponsored by Roche. The school was officially recognized as a course at the University of Udine. It ran for a week and comprised theoretical lessons [Figure 1] and practical activities. Participants (19 students and 5 observers) included pathologists, hematologists, pathology laboratory technicians, biotechnologists, biologists, clinical engineers, health informaticians, computer scientists, and researchers in various fields. Although the motives of why participants attended and how their participation impacted the subsequent activity were not formally collected, most of the students attended because they were either already using digital pathology without formal training or because their institution was going to acquire a scanner.
A questionnaire distributed to these students afterward showed a very positive response to the school. The final survey median evaluations were three out of four for pertinence, educational quality, and effectiveness. However, the relevance of various topics differed for students originating from different backgrounds. In particular, four (21%) students felt that some of the practical sessions were geared too specifically toward pathologists. While the median evaluation for the school's length was overall deemed to be “adequate,” six (32%) students felt that it was too long.
| Digital Pathology Syllabus|| |
The course was aimed at teaching students the fundamentals of digital imaging and instructing them on the utilization of digital pathology as a tool for advancing pathology practice. The syllabus [Table 1] was developed collaboratively by most of the teachers of the school. Faculty felt that it was important to stress the technical aspects of digital imaging, digital slide workflow, applications including organizational processes to support telepathology services, regulations and guidelines, image analysis, and novel imaging techniques. All these topics were not covered in-depth, because the course was limited to only 1 week. Moreover, to condense the program and avoid overlap, some topics were blended; for example, by integrating acquisition technologies with workflow issues. Most of the sections of the syllabus are of general applicability. However, local laws largely influence legal and regulatory aspects of digital pathology. As students were mostly Europeans, particularly from Italy, this aspect of the curriculum focused on European and Italian rules. Practical sessions were mostly devoted toward hands-on experience pertaining to imaging workflow using a sample commercial system (i.e., image acquisition, visualization, case management, and image analysis with FDA- and CE-approved algorithms). During the practical session, other systems were illustrated, including both commercial and freely available software. Volunteers also had the opportunity to partake in an image quality evaluation study.
| Conclusion|| |
Education plays an important role in the future of the specialty of pathology informatics. The success of pathology informatics relies not only on educating pathologists, but also on ensuring the competency of allied professionals (e.g., medical technologists) in informatics. The same is true for digital pathology. Fellowships are one mechanism to engage young pathologists. The digital pathology school established by AIDPATH is another valuable effort helping to promote the adoption of digital pathology. Trying to cover the breadth and depth of topics relevant to digital imaging in pathology in 1 week was challenging. Moreover, after surveying students, it was apparent that not all topics were of interest to every student, at least at the same level of depth. [Table 2] is a proposed interest matrix for different professionals who are involved with digital pathology. This matrix was developed by speculating on informally collected opinions of participants. The intent is to better refine this syllabus with more focused surveys in subsequent editions of the school. For health-care administrators interested in deciding whether to implement digital pathology solutions in their laboratory or hospitals, the syllabus could be specifically tailored toward discussion on the business case for adopting digital pathology, service organization, and guidelines and regulatory issues rather than just the technical aspects of digital imaging.
|Table 2: Applicability of the digital pathology school syllabus for different students|
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Given the success experienced to date, the school will be replicated again by another AIDPATH partner in 2017. Offering specialized parallel tracks for pathologists and nonpathologists from around the world is being taken into consideration, although the heterogeneity of the audience backgrounds by itself might provide added value, in a topic inherently interdisciplinary like digital pathology.
The authors would like to thank the CRO in Aviano, Italy, for having hosted the summer school.
Financial support and sponsorship
The school was partially supported and funded by the EU FP7 program, AIDPATH project, grant number 612471 and by Roche Diagnostics S.P.A.
Conflicts of interest
There are no conflicts of interest.
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[Table 1], [Table 2]
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