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11 results on '"Bertram, C.A."'

4. Mitosis domain generalization in histopathology images - The MIDOG challenge

Author

Aubreville, M., Stathonikos, N., Bertram, C.A., Klopfleisch, R., Hoeve, N. Ter, Ciompi, F., Wilm, F., Marzahl, C., Donovan, T.A., Maier, A., Breen, J., Ravikumar, N., Chung, Y., Park, J., Nateghi, R., Pourakpour, F., Fick, R.H.J., Hadj, S. Ben, Jahanifar, M., Shephard, A., Dexl, J., Wittenberg, T., Kondo, S., Lafarge, M.W., Koelzer, V.H., Liang, J., Wang, Yubo, Long, X., Liu, J., Razavi, S., Khademi, A., Yang, S., Wang, Xiyue, Erber, R., Klang, A., Lipnik, K., Bolfa, P., Dark, M.J., Wasinger, G., Veta, M., Breininger, K., Aubreville, M., Stathonikos, N., Bertram, C.A., Klopfleisch, R., Hoeve, N. Ter, Ciompi, F., Wilm, F., Marzahl, C., Donovan, T.A., Maier, A., Breen, J., Ravikumar, N., Chung, Y., Park, J., Nateghi, R., Pourakpour, F., Fick, R.H.J., Hadj, S. Ben, Jahanifar, M., Shephard, A., Dexl, J., Wittenberg, T., Kondo, S., Lafarge, M.W., Koelzer, V.H., Liang, J., Wang, Yubo, Long, X., Liu, J., Razavi, S., Khademi, A., Yang, S., Wang, Xiyue, Erber, R., Klang, A., Lipnik, K., Bolfa, P., Dark, M.J., Wasinger, G., Veta, M., and Breininger, K.

Abstract

Item does not contain fulltext, The density of mitotic figures (MF) within tumor tissue is known to be highly correlated with tumor proliferation and thus is an important marker in tumor grading. Recognition of MF by pathologists is subject to a strong inter-rater bias, limiting its prognostic value. State-of-the-art deep learning methods can support experts but have been observed to strongly deteriorate when applied in a different clinical environment. The variability caused by using different whole slide scanners has been identified as one decisive component in the underlying domain shift. The goal of the MICCAI MIDOG 2021 challenge was the creation of scanner-agnostic MF detection algorithms. The challenge used a training set of 200 cases, split across four scanning systems. As test set, an additional 100 cases split across four scanning systems, including two previously unseen scanners, were provided. In this paper, we evaluate and compare the approaches that were submitted to the challenge and identify methodological factors contributing to better performance. The winning algorithm yielded an F(1) score of 0.748 (CI95: 0.704-0.781), exceeding the performance of six experts on the same task.

Published
2023

5. Computer Assistance: A New Gold Standard for the Mitotic Count?

Author

Bertram, C.A., primary, Aubreville, M., additional, Donovan, T.A., additional, Bartel, A., additional, Wilm, F., additional, Marzahl, C., additional, Assenmacher, C.A., additional, Becker, K., additional, Bennett, M., additional, Corner, S., additional, Cossic, B., additional, Denk, D., additional, Dettwiler, M., additional, Garcia Gonzalez, B., additional, Gurtner, C., additional, Haverkamp, A.K., additional, Heier, A., additional, Lehmbecker, A., additional, Merz, S., additional, Noland, E.L., additional, Plog, S., additional, Schmidt, A., additional, Sebastian, F., additional, Sledge, D.G., additional, Smedley, R.C., additional, Tecilla, M., additional, Thaiwong, T., additional, Fuchs-Baumgartinger, A., additional, Meuten, D.J., additional, Breininger, K., additional, Kiupel, M., additional, Maier, A., additional, and Klopfleisch, R., additional

Published
2022
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7. Mitotic Count in Canine Cutaneous Mast Cell Tumours – Not Accurate but Reproducible

Author

Bertram, C.A., primary, Aubreville, M., additional, Gurtner, C., additional, Bartel, A., additional, Corner, S.M., additional, Dettwiler, M., additional, Kershaw, O., additional, Noland, E.L., additional, Schmidt, A., additional, Sledge, D.G., additional, Smedley, R.C., additional, Thaiwong, T., additional, Kiupel, M., additional, Maier, A., additional, and Klopfleisch, R., additional

Published
2020
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10. Reporting guidelines for manuscripts on tumor prognosis

Author

F. Yvonne Schulman, Paola Roccabianca, Giancarlo Avallone, Christof A. Bertram, Mark Chalkley, James K. Chambers, Taryn A. Donovan, Robert A. Foster, Donald Meuten, Ilaria Porcellato, Simon L. Priestnall, Roberta Rasotto, Kazuyuki Uchida, Joshua D. Webster, Geoffrey A. Wood, Jeff L. Caswell, Schulman F.Y., Roccabianca P., Avallone G., Bertram C.A., Chalkley M., Chambers J.K., Donovan T.A., Foster R.A., Meuten D., Porcellato I., Priestnall S.L., Rasotto R., Uchida K., Webster J.D., Wood G.A., and Caswell J.L.

Subjects
General Veterinary, observational study design, reporting guideline, scientific publishing, veterinary, Prognosis, neoplasia, Research Design, Neoplasms, oncology, Animals, pathology, prognostic marker, surgical pathology
Published
2022

11. International Guidelines for Veterinary Tumor Pathology: A Call to Action

Author

Michelle M. Dennis, Robert Klopfleisch, Rebecca C. Smedley, Matti Kiupel, Giancarlo Avallone, Elisa N. Salas, Laura Marconato, Renée Laufer-Amorim, Paul C. Stromberg, Richard Luong, Michael J. Dark, Christof A. Bertram, Robert A. Foster, Milan Milovancev, Frances M. Moore, Bruce Williams, Derick B. Whitley, John M. Cullen, Nick Dervisis, Harold Tvedten, Keith E. Linder, Marc Aubreville, D. Glen Esplin, Margaret A. Miller, Michael H. Goldschmidt, Renato L. Santos, Marlene L. Hauck, Linden E. Craig, Midori G. Asakawa, Andrew D. Miller, Jeanne W. George, D. J. Meuten, Michelle L. Oblak, Kristina Meichner, John S. Munday, Yumiko Kagawa, Pompei Bolfa, R. Mark Simpson, Paola Roccabianca, F. Yvonne Schulman, Taryn A. Donovan, Meuten D.J., Moore F.M., Donovan T.A., Bertram C.A., Klopfleisch R., Foster R.A., Smedley R.C., Dark M.J., Milovancev M., Stromberg P., Williams B.H., Aubreville M., Avallone G., Bolfa P., Cullen J., Dennis M.M., Goldschmidt M., Luong R., Miller A.D., Miller M.A., Munday J.S., Roccabianca P., Salas E.N., Schulman F.Y., Laufer-Amorim R., Asakawa M.G., Craig L., Dervisis N., Esplin D.G., George J.W., Hauck M., Kagawa Y., Kiupel M., Linder K., Meichner K., Marconato L., Oblak M.L., Santos R.L., Simpson R.M., Tvedten H., and Whitley D.

Subjects
medicine.medical_specialty, Standardization, 040301 veterinary sciences, Reproducibility of Result, 0403 veterinary science, 03 medical and health sciences, 0302 clinical medicine, Neoplasms, medicine, Animals, Medical physics, protocol, Grading (tumors), Pathology, Veterinary, standardization, validation, General Veterinary, business.industry, Animal, Reproducibility of Results, Foundation (evidence), Veterinary tumor, 04 agricultural and veterinary sciences, Call to action, 030220 oncology & carcinogenesis, oncology, Neoplasm, business, guideline
Abstract

Standardization of tumor assessment lays the foundation for validation of grading systems, permits reproducibility of oncologic studies among investigators, and increases confidence in the significance of study results. Currently, there is minimal methodological standardization for assessing tumors in veterinary medicine, with few attempts to validate published protocols and grading schemes. The current article attempts to address these shortcomings by providing standard guidelines for tumor assessment parameters and protocols for evaluating specific tumor types. More detailed information is available in the Supplemental Files, the intention of which is 2-fold: publication as part of this commentary, but more importantly, these will be available as “living documents” on a website ( www.vetcancerprotocols.org ), which will be updated as new information is presented in the peer-reviewed literature. Our hope is that veterinary pathologists will agree that this initiative is needed, and will contribute to and utilize this information for routine diagnostic work and oncologic studies. Journal editors and reviewers can utilize checklists to ensure publications include sufficient detail and standardized methods of tumor assessment. To maintain the relevance of the guidelines and protocols, it is critical that the information is periodically updated and revised as new studies are published and validated with the intent of providing a repository of this information. Our hope is that this initiative (a continuation of efforts published in this journal in 2011) will facilitate collaboration and reproducibility between pathologists and institutions, increase case numbers, and strengthen clinical research findings, thus ensuring continued progress in veterinary oncologic pathology and improving patient care.

Published
2021

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