The SAFRS System : A Case-Based Reasoning Training Tool for Capturing and Re-Using Knowledge
The paper aims to specify and build a system, a learning support in radiology-senology (breast radiology) dedicated to help assist junior radiologists-senologists in their radiologysenology- related activity based on experience of expert radiologistssenologists. This system is named SAFRS (i.e. system supporting the training of radiologists-senologists). It is based on the exploitation of radiologic-senologic images (primarily mammograms but also echographic images or MRI) and their related clinical files. The aim of such a system is to help breast cancer screening in education. In order to acquire this expert radiologist-senologist knowledge, we have used the CBR (case-based reasoning) approach. The SAFRS system will promote the evolution of teaching in radiology-senology by offering the “junior radiologist" trainees an advanced pedagogical product. It will permit a strengthening of knowledge together with a very elaborate presentation of results. At last, the know-how will derive from all these factors.
[1] T. P. Baum, "Aide ├á la détection des foyers de microcalcifications dans
le cadre des campagnes de dépistage du cancer du sein," thèse de
Doctorat de l-Université Pierre et Marie Curie, Paris VI, 1997.
[2] S. Demigha and C. Rolland, "Training-Aided System in Senology:
Methodologies and Techniques," conference Proceedings - SPIE
Medical Imaging, PACS and Integrated Medical Information: Design
and Evaluation, vol 5033, pp. 339-349, San Diego, California, USA,
2003.
[3] A. Aamodt and E. Plaza, "Case-Based Reasoning: foundational issues,
methodological variations and system approaches," AI Communications,
vol 7, number 1, march 1994. C. J. Kaufman, Rocky Mountain Research
Lab., Boulder, CO, private communication, May 1995.
[4] C. Le Bozec, "Gestion de connaissances multi-expertes en imagerie
médicale (IDEM): Images et Diagnostics par l-Exemple en Médecine,"
de doctorat en Informatique Médicale, Université Pierre et Marie Curie,
Paris VI, Juillet 2001.
[5] M. Grimnes and A. Aamodt, "A two Layer case-based reasoning
architecture for medical image understanding," in Advances in Case-
Based Reasoning - Third European Workshop (EWCBR-96), I.Smith,
B. Faltings (eds), Lausanne, pp. 164-178. Springer Verlag, Berlin, 1996.
[6] J. Lieber and B. Bresson, "Case-Based Reasoning for Breast Cancer
Treatment Decision Helping," in E. Blanzieri and L.Portinale, editors,
Advances in Case-Based Reasoning - proceedings of the fifth European
Workshop On Case-Based Reasoning, Lecture Notes in Artificial
Intelligence vol 898, pages 173-185. Springer, 2000.
[7] R. T. Macura and K. J. Macura, "MacRad Radiology image resource
with a case-based retrieval system," in First International Conference
on Case-based reasoning approach: Research and Development,
M.Veloso, A.Aamodt, (Eds), Berlin: Springer Verlag: 1995; 43-54.
[8] D. Leake, "Case-based Reasoning- Experiences, Lessons and Future
Directions," AAAI Press/ The MIT Press, 1996.
[9] F. Cao, E. Sickles and H. K. Huang, "Interactive Digital Breast Imaging
Teaching File," Department of Radiology, University of California,
School of Medicine, San Francisco, CA,
http://www.ej.rsna.org/EJ_0_96/003797.fin/mammo.html
[10] S. Caulkin, "Computer-Aided Training and Performance Evaluation in
Mammography," PHD Project, UK, 1999.
[11] C. Lehaman, L. Miller, C. Rutter, "Effect of Training With the American
College of Radiology Breast Imaging Reporting and Data System
Lexicon on Mammographic Interpretation Skills in Developing
Countries," the Department of Radiology, University of Washington,
Seattle, Cancer Care Alliance, WA, University of California, San Diego,
April 2001.
[12] M. Lanyi, "Morphologic Analysis of microcalcifications: a valuable
differential diagnostic system for early detection of breast carcinomas
and reduction of suspicious exploratory excisions," Early Breast
Cancer, Heidelberg: Spring Verlag, 1995, 113-135.
[13] K. D. Fenstermacher, "An Application of Case-based Instruction in
Medical Domains," in Proceedings of the Spring Symposium on
Artificial Intelligence in Medicine. Cambridge, 1996, MA: AAAI
Press/The MIT Press.
[14] S. Demigha, "An Ontology Supporting the Daily Practice Requirements
of Radiologists-Senologists with the Standard BI-RADS," ICEIS 2007,
Ninth International On Enterprise Information Systems, Proceedings of
Information Systems Analysis and Specification, Vol ISAS, pp 243 249,
Funchal, Madeira, Portugal, June, 12-16, 2007.
[15] S. Demigha, "Un système ├á base de connaissances en radiologiesénologie
dédié ├á la formation des radiologues-sénologues juniors," Phd
thesis in Informatic, Université de Paris 1 Panthéon-Sorbonne, juillet
2005.
[16] A. L. Rector,,"Terminology and concept representation languages:
where are we?," in Artificial Intelligence in Medicine, vol 15 (1): pages
1-4, 1999.
[17] J. Chabriais, C. Balleyguier, K. Kinkel, L. B Levey J. Stinès, and F.
Thibault, "BI-RADS Illustré," Première Edition Fran├ºaise basée sur la
troisième ├ëdition américaine, 200 pages, 1998.
[18] C. Ben Achour, "Extraction des besoins par analyse de scénarios,"Phd
thesis, Université de Paris 6, Pierre et Marie Curie, 1999.
[19] S. Demigha, "The retrieval Process in the SAFRS System with the
Case-Based Reasoning Approach," ICEIS 2007, Ninth International On
Enterprise Information Systems, Proceedings of Artificial Intelligence
and Decision Support Systems, Vol AIDSS, pp 468-473, Funchal,
Madeira, Portugal, June, 12-16, 2007.
[20] S. Demigha and N. Prat, "A case-based training system in radiologysenology,"
in Information and Communication Technologies: from
Theory to Applications (ICTTA) 04-, Damascus, Syria, 2004.
[21] OMG (2003), OMG, Unified Modeling Language Specification, March
2003, version 1.5.
http://www.omg.org/technology/documents/spec_catalog.htm.
[22] J. Lieber and A. Napoli, "Représentation par objets et classification pour
le raisonnement à partir de cas," in M. Chein and F. Schmitt, editors,
Actes du 11ème congrès AFCET Reconnaissance des formes et
intelligence artificielle, Clermont-Ferrand, pages 345-354 (Tome III).
AFCET -AFIA- Université de Clermont-Ferrand, 1998.
[23] CAD, "Computer Aided Detection for Mammography," Medical
Systems: www.cadxmed.com.
[24] DICOM, "Digital Imaging and COmmunication in Medicine,"
http://www.nema.org/press/020801.html.
[25] R. Bergmann and K. D. Althoff., "Methodology for Building CBR
Applications," in: M. Lenz, B. Bartsh-Sport, H.-D. Burkhard, & S. Wess
(Eds). Case-Based Reasoning from Foundations to Applications, Spring-
Verlag, 1998.
[26] F. Fuchs, "Représentation des connaissances pour le raisonnement ├á
partir de cas: le système Rocade," thèse de doctorat en informatique,
Université de Saint-Etienne, 1997.
[1] T. P. Baum, "Aide ├á la détection des foyers de microcalcifications dans
le cadre des campagnes de dépistage du cancer du sein," thèse de
Doctorat de l-Université Pierre et Marie Curie, Paris VI, 1997.
[2] S. Demigha and C. Rolland, "Training-Aided System in Senology:
Methodologies and Techniques," conference Proceedings - SPIE
Medical Imaging, PACS and Integrated Medical Information: Design
and Evaluation, vol 5033, pp. 339-349, San Diego, California, USA,
2003.
[3] A. Aamodt and E. Plaza, "Case-Based Reasoning: foundational issues,
methodological variations and system approaches," AI Communications,
vol 7, number 1, march 1994. C. J. Kaufman, Rocky Mountain Research
Lab., Boulder, CO, private communication, May 1995.
[4] C. Le Bozec, "Gestion de connaissances multi-expertes en imagerie
médicale (IDEM): Images et Diagnostics par l-Exemple en Médecine,"
de doctorat en Informatique Médicale, Université Pierre et Marie Curie,
Paris VI, Juillet 2001.
[5] M. Grimnes and A. Aamodt, "A two Layer case-based reasoning
architecture for medical image understanding," in Advances in Case-
Based Reasoning - Third European Workshop (EWCBR-96), I.Smith,
B. Faltings (eds), Lausanne, pp. 164-178. Springer Verlag, Berlin, 1996.
[6] J. Lieber and B. Bresson, "Case-Based Reasoning for Breast Cancer
Treatment Decision Helping," in E. Blanzieri and L.Portinale, editors,
Advances in Case-Based Reasoning - proceedings of the fifth European
Workshop On Case-Based Reasoning, Lecture Notes in Artificial
Intelligence vol 898, pages 173-185. Springer, 2000.
[7] R. T. Macura and K. J. Macura, "MacRad Radiology image resource
with a case-based retrieval system," in First International Conference
on Case-based reasoning approach: Research and Development,
M.Veloso, A.Aamodt, (Eds), Berlin: Springer Verlag: 1995; 43-54.
[8] D. Leake, "Case-based Reasoning- Experiences, Lessons and Future
Directions," AAAI Press/ The MIT Press, 1996.
[9] F. Cao, E. Sickles and H. K. Huang, "Interactive Digital Breast Imaging
Teaching File," Department of Radiology, University of California,
School of Medicine, San Francisco, CA,
http://www.ej.rsna.org/EJ_0_96/003797.fin/mammo.html
[10] S. Caulkin, "Computer-Aided Training and Performance Evaluation in
Mammography," PHD Project, UK, 1999.
[11] C. Lehaman, L. Miller, C. Rutter, "Effect of Training With the American
College of Radiology Breast Imaging Reporting and Data System
Lexicon on Mammographic Interpretation Skills in Developing
Countries," the Department of Radiology, University of Washington,
Seattle, Cancer Care Alliance, WA, University of California, San Diego,
April 2001.
[12] M. Lanyi, "Morphologic Analysis of microcalcifications: a valuable
differential diagnostic system for early detection of breast carcinomas
and reduction of suspicious exploratory excisions," Early Breast
Cancer, Heidelberg: Spring Verlag, 1995, 113-135.
[13] K. D. Fenstermacher, "An Application of Case-based Instruction in
Medical Domains," in Proceedings of the Spring Symposium on
Artificial Intelligence in Medicine. Cambridge, 1996, MA: AAAI
Press/The MIT Press.
[14] S. Demigha, "An Ontology Supporting the Daily Practice Requirements
of Radiologists-Senologists with the Standard BI-RADS," ICEIS 2007,
Ninth International On Enterprise Information Systems, Proceedings of
Information Systems Analysis and Specification, Vol ISAS, pp 243 249,
Funchal, Madeira, Portugal, June, 12-16, 2007.
[15] S. Demigha, "Un système ├á base de connaissances en radiologiesénologie
dédié ├á la formation des radiologues-sénologues juniors," Phd
thesis in Informatic, Université de Paris 1 Panthéon-Sorbonne, juillet
2005.
[16] A. L. Rector,,"Terminology and concept representation languages:
where are we?," in Artificial Intelligence in Medicine, vol 15 (1): pages
1-4, 1999.
[17] J. Chabriais, C. Balleyguier, K. Kinkel, L. B Levey J. Stinès, and F.
Thibault, "BI-RADS Illustré," Première Edition Fran├ºaise basée sur la
troisième ├ëdition américaine, 200 pages, 1998.
[18] C. Ben Achour, "Extraction des besoins par analyse de scénarios,"Phd
thesis, Université de Paris 6, Pierre et Marie Curie, 1999.
[19] S. Demigha, "The retrieval Process in the SAFRS System with the
Case-Based Reasoning Approach," ICEIS 2007, Ninth International On
Enterprise Information Systems, Proceedings of Artificial Intelligence
and Decision Support Systems, Vol AIDSS, pp 468-473, Funchal,
Madeira, Portugal, June, 12-16, 2007.
[20] S. Demigha and N. Prat, "A case-based training system in radiologysenology,"
in Information and Communication Technologies: from
Theory to Applications (ICTTA) 04-, Damascus, Syria, 2004.
[21] OMG (2003), OMG, Unified Modeling Language Specification, March
2003, version 1.5.
http://www.omg.org/technology/documents/spec_catalog.htm.
[22] J. Lieber and A. Napoli, "Représentation par objets et classification pour
le raisonnement à partir de cas," in M. Chein and F. Schmitt, editors,
Actes du 11ème congrès AFCET Reconnaissance des formes et
intelligence artificielle, Clermont-Ferrand, pages 345-354 (Tome III).
AFCET -AFIA- Université de Clermont-Ferrand, 1998.
[23] CAD, "Computer Aided Detection for Mammography," Medical
Systems: www.cadxmed.com.
[24] DICOM, "Digital Imaging and COmmunication in Medicine,"
http://www.nema.org/press/020801.html.
[25] R. Bergmann and K. D. Althoff., "Methodology for Building CBR
Applications," in: M. Lenz, B. Bartsh-Sport, H.-D. Burkhard, & S. Wess
(Eds). Case-Based Reasoning from Foundations to Applications, Spring-
Verlag, 1998.
[26] F. Fuchs, "Représentation des connaissances pour le raisonnement ├á
partir de cas: le système Rocade," thèse de doctorat en informatique,
Université de Saint-Etienne, 1997.
@article{"International Journal of Information, Control and Computer Sciences:62716", author = "Souad Demigha", title = "The SAFRS System : A Case-Based Reasoning Training Tool for Capturing and Re-Using Knowledge", abstract = "The paper aims to specify and build a system, a learning support in radiology-senology (breast radiology) dedicated to help assist junior radiologists-senologists in their radiologysenology- related activity based on experience of expert radiologistssenologists. This system is named SAFRS (i.e. system supporting the training of radiologists-senologists). It is based on the exploitation of radiologic-senologic images (primarily mammograms but also echographic images or MRI) and their related clinical files. The aim of such a system is to help breast cancer screening in education. In order to acquire this expert radiologist-senologist knowledge, we have used the CBR (case-based reasoning) approach. The SAFRS system will promote the evolution of teaching in radiology-senology by offering the “junior radiologist" trainees an advanced pedagogical product. It will permit a strengthening of knowledge together with a very elaborate presentation of results. At last, the know-how will derive from all these factors.
", keywords = "Learning support, radiology-senology, training, education, CBR, accumulated experience.", volume = "1", number = "10", pages = "3277-18", }
