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33 - Perception Issues in Pathology

from Part VI - Applied Perception

Published online by Cambridge University Press:  20 December 2018

Ehsan Samei
Affiliation:
Duke University Medical Center, Durham
Elizabeth A. Krupinski
Affiliation:
Emory University, Atlanta
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Publisher: Cambridge University Press
Print publication year: 2018

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References

Badano, A., Revie, C., Casertano, A., Cheng, W.C., Green, P., Kimpe, T. et al. (2015). Consistency and standardization of color in medical imaging: a consensus report. J Digit Imag, 28, 4152.CrossRefGoogle ScholarPubMed
Bashshur, R.L., Krupinski, E.A., Weinstein, R.S., Dunn, M.R., Bashshur, N. (2017). The empirical foundations of telepathology: evidence of feasibility and intermediate results. Telemed J eHealth, 23, 155191.CrossRefGoogle Scholar
Bautista, P.A., Hashimoto, N., Yagi, Y. (2014). Color standardization in whole slide imaging using a color calibration slide. J Pathol Inform, 5, 4.Google Scholar
Beam, C.A., Krupinski, E.A., Kundel, H.L., Sickles, E.A., Wagner, R.F. (2006). The place of medical image perception in 21st-century health care. J Am Coll Radiol, 3, 409412.CrossRefGoogle ScholarPubMed
Bhargava, R., Madabhushi, A. (2016). Emerging themes in image informatics and molecular analysis for digital pathology. Annu Rev Biomed Eng, 18, 387412.Google Scholar
Brunye, T.T., Carney, P.A., Allison, K.H., Shapiro, L.G., Weaver, D.L., Elmore, J.G. (2014). Eye movements as an index of pathologist visual expertise: a pilot study. PLoS One, 9, e103447.CrossRefGoogle ScholarPubMed
Brunyé, T.T., Mercan, E., Weaver, D.L., Elmore, J.G. (2017). Accuracy is in the eyes of the pathologist: the visual interpretive process and diagnostic accuracy with digital whole slide images. J Biomed Inform, 66, 171179.Google Scholar
Bussolati, G. (2006). Disecting the pathologist’s brain: mental processes that lead to pathological diagnoses. Virchows Arch, 448, 739743.CrossRefGoogle Scholar
Campbell, W.S., Hinrichs, S.H., Lele, S.M., Baker, J.J., Lazenby, A.J., Talmon, G.A., Smith, L.M., West, W.W. (2014). Whole slide imaging diagnostic concordance with light microscopy for breast needle biopsies. Hum Pathol, 45, 17131721.Google Scholar
Carney, P.A., Allison, K.H., Oster, N.V., Frederick, P.D., Morgan, T.R., Geller, B.M., Weaver, D.L., Elmore, J.G. (2016). Identifying and processing the gap between perceived and actual agreement in breast pathology interpretation. Mod Pathol, 9, 717726.CrossRefGoogle Scholar
Cheng, W.C., Caceres, H., Badano, A. (2012). Evaluating color calibration kits with virtual display. Proc SPIE Med Imag, 8292, 82920A.Google Scholar
Christensen, E.E., Murry, R.C., Holland, K., Reynolds, J., Landay, M.J., Moore, J.G. (1981). The effect of search time on perception. Radiology, 138, 361365.CrossRefGoogle ScholarPubMed
Chun, M.M., Wolfe, J.M. (1996). Just say no: how are visual searches terminated when there is no target present? Cogn Psychol, 30, 3978.Google Scholar
Clarke, E.L., Treanor, D. (2017). Colour in digital pathology: a review. Histopathology, 70, 153163.CrossRefGoogle ScholarPubMed
Crowley, R.S., Naus, G.J., Stewart, J., Friedman, C.P. (2003). Development of visual diagnostic expertise in pathology: an information-processing study. J Am Medical Inform Assoc, 10, 3951.CrossRefGoogle ScholarPubMed
Drew, T., Vo, M.L., Olwal, A., Jacobson, F., Seltzer, S.E., Wolfe, J.M. (2013). Scanners and drillers: characterizing expert visual search through volumetric images. J Vision, 13, 3.Google Scholar
Dunckner, K. (1945). On problem-solving. Psych Monographs, 58, i–113.Google Scholar
Evered, A., Walker, D., Watt, A., Perham, N. (2016). Visual distraction in cytopathology: should we be concerned? Cytopathology, 27, 351358.Google Scholar
Farahani, N, Parawni, A.V., Pantanowitz, L. (2015). Whole slide imaging in pathology: advantages, limitations, and emerging perspectives. Pathol Lab Med Int, 7, 2333.Google Scholar
Farahani, N., Post, R., Duboy, J., Ahmed, I., Kolowitz, B.J., Krinchai, T., Monaco, S.E., Fine, J.L., Hartman, D.J., Pantanowitz, L. (2016). Exploring virtual reality technology and the Oculus Rift for the examination of digital pathology slides. J Pathol Inform, 7, 22.CrossRefGoogle ScholarPubMed
Food and Drug Administration (FDA). (2017). FDA allows marketing of first whole slide imaging system for digital pathology. Available at: www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm552742.htm (accessed November 2, 2017).Google Scholar
Gutierrez, R., Gomez, F., Roa-Pena, L., Romero, E. (2011). A supervised visual model for finding regions of interest in basal cell carcinoma images. Diagn Pathol, 6, 26.Google Scholar
Harrison, B.T., Dillon, D.A., Richardson, A.L., Brock, J.E., Guidi, A.J., Lester, S.C. (2017). Quality assurance in breast pathology: lessons learned from a review of amended reports. Arch Pathol Lab Med, 141, 260266.CrossRefGoogle ScholarPubMed
Hufnagl, P, Guski, H., Hering, J., Schrtader, T., Kayser, K., Ten nstedt-Schenck, C., Dietel, M., Winzer, K.J. (2016). Comparing conventional and telepathology diagnosis in routine frozen section service. Diagn Pathol J, 2, 112.Google Scholar
Kalinski, T., Zwonitzer, R., Grabellus, F., Sheu, S.-Y., Sel, S., Hofmann, H., Bernarding, J., Roessner, A. (2009). Lossy compression in diagnostic virtual 3-dimensional microscopy – where is the limit? Hum Pathol, 40, 9981005.Google Scholar
Kalinski, T., Zwonitzer, R., Grabellus, F., Sheu, S.-Y., Sel, S., Hofmann, H., Roessner, A. (2011). Lossless compression of JPEG2000 whole slide images is not required for diagnostic virtual microscopy. Am J Clin Pathol, 136, 889895.Google Scholar
Kimpe, T., Rostang, J., Avanki, A., Espig, K., Zthona, A., Cocuranu, I., Parawni, A.V., Pantanowitz, L. (2014). Does the choice of display system influence perception and visibility of clinically relevant features in digital pathology images? Proc SPIE Med Imag, 9041, 904109.Google Scholar
King, L.S. (1967). How does a pathologist make a diagnosis? Arch Pathol, 84, 331333.Google ScholarPubMed
Konsti, J., Lundin, M., Linder, N., Haglund, C., Blomqvist, C., Nevanlinna, H., Aaltonen, K., Nordling, S., Lunding, J. (2012). Effect of image compression and scaling on automated scoring of immunohistochemical stainings and segmentation of tumor epithelium. Diagn Pathol, 7, 29.CrossRefGoogle ScholarPubMed
Krupinski, E.A. (2009). Virtual slide telepathology workstation of the future: lessons learned from teleradiology. Hum Pathol, 40, 11001111.Google Scholar
Krupinski, E.A. (2010). Optimizing the pathology workstation “cockpit”: challenges and solutions. J Pathol Inform, 1, 19.Google Scholar
Krupinski, E.A., Tillack, A.A., Richter, L., Henderson, J.T., Bhattacharyya, A.K., Scott, K.M., Graham, A.R., Descour, M.R., Davis, J.R., Weinstein, R.S. (2006). Eye-movement study and human performance using telepathology virtual slides. Implications for medical education and differences with experience. Hum Pathol, 37, 15431556.Google Scholar
Krupinski, E.A., Johnson, J.P., Jaw, S., Graham, A.R., Weinstein, R.S. (2012). Compressing pathology whole-slide images using a human and a model observer evaluation. J Pathol Inform, 3, 17.Google Scholar
Krupinski, E.A., Graham, A.R., Weinstein, R.S. (2013). Characterizing the development of visual search expertise in pathology residents viewing whole slide images. Hum Pathol, 44, 357364.Google Scholar
Littelfair, S., Brennan, P., Reed, W., Williams, M., Pietrzyk, M.W. (2012). Does the thinking aloud condition affect the search for pulmonary nodules? Proc SPIE Med Imag, 83181A.Google Scholar
Mello-Thoms, C., Mello, C.A.B., Medvedva, O., Castine, M., Legowski, E., Gardner, G., Tseytlin, E., Crowley, R.S. (2012). Perceptual analysis of the reading of dermatopathology virtual slides by pathology residents. Arch Pathol Lab Med, 136, 551562.Google Scholar
Mercan, E., Aksoy, S., Shapiro, L.G., Weaver, D.L., Brunye, T.T., Elmore, J.G. (2016). Localization of diagnostically relevant regions of interest in whole slide images: a comparative study. J Digit Imag, 29, 496506.Google Scholar
Mercan, E., Shapiro, L.G., Brunye, T.T., Weaver, D.L., Elmore, J.G. (2017). Characterizing diagnostic search patterns in digital breast pathology: scanners and drillers. J Digit Imag, https://doi.org/10.1007/s10278-017-9990-5.Google Scholar
Meyer, J., Pare, G. (2015). Telepathology impacts and implementation challenges: a scoping review. Arch Pathol Lab Med, 139, 15501557.Google Scholar
Molin, J., Fjeld, M., Mello-Thoms, C., Lundstrom, C. (2015). Slide navigation patterns among pathologists with long experience in digital review. Histopathology, 67, 185192.CrossRefGoogle ScholarPubMed
Nagarkar, D.B., Mercan, E., Weaver, D.L., Brunyé, T.T., Carney, P.A., Rendi, M.H., Beck, A.H., Frederick, P.D., Shapiro, L.G., Elmore, J.G. (2016). Region of interest identification and diagnostic agreement in breast pathology. Mod Pathol, 29, 10041011.Google Scholar
Nakhleh, R.E., Nose, V., Colasacco, C., Fatheree, L.A., Lilemoe, T.J., et al. (2016). Interpretative diagnostic error reduction in surgical pathology and cytology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center and the Association of Directors of Anatomic and Surgical Pathology. Arch Pathol Lab Med, 140, 2940.Google Scholar
Nodine, C.F., Kundel, H.L. (1987). Using eye movements to study visual search and improve tumor detection. Radiographics, 7, 12411250.Google Scholar
Nodine, C.F., Mello-Thoms, C. (2010). The role of expertise in radiologic image interpretation. In: Samei, E., Krupinski, E. (eds). The Handbook of Medical Image Perception and Techniques. Cambridge, England: Cambridge University Press, pp. 139156.Google Scholar
Oyster, C.W. (1999). The Human Eye: Structure and Function. Sunderland, MA: Sinauer Associates.Google Scholar
Pantanowitz, L., Valenstein, P.N., Evans, A.J., Kaplan, K.J., Pfeifer, J.D., Wilber, D.C., Collins, L.C., Colgan, T.J. (2011). Review of the current state of whole slide imaging in pathology. J Pathol Inform, 2, 26.Google Scholar
Pantanowitz, L., Parwani, A., Tseytlin, E., Mello-Thoms, C. (2012). Analysis of slide exploration strategy of cytologists when reading digital slides. Proc SPIE Med Imag, 8318, 83180O-1–83180O-10.Google Scholar
Pantanowitz, L., Liu, C., Huang, Y., Guo, H., Rohde, G.K. (2017). Impact of alterating imaging parameters on image analysis data quality. J Pathol Inform, 8, 39.Google Scholar
Pena, G.P., Andrade-Filho, J.S. (2009). How does a pathologist make a diagnosis? Arch Pathol Lab Med, 133, 124132.Google Scholar
Perkins, I.U. (2016). Error disclosure in pathology and laboratory medicine: a review of the literature. AMA J Ethics, 18, 809816.Google Scholar
Pinco, J., Goulart, R.A., Otis, C.N., Garb, J., Pantanowitz, L. (2009). Impact of digital image manipulation in cytology. Arch Pathol Lab Med, 133, 5761.CrossRefGoogle ScholarPubMed
Privitera, C.M., Stark, L.W. (1998). Evaluating image processing algorithms that predict regions of interest. Patt Recog Lett, 19, 10371043.Google Scholar
Raghunath, V., Braxton, M.O., Gagnon, S.A., Brunye, T.T., Allison, K.H., Reisch, L.M., Weaver, D.L., Elmore, J.G., Shapiro, L.G. (2012). Mouse cursor movement and eye tracking data as an indicator of pathologists’ attention when viewing digital whole slide images. J Pathol Inform, 3, 43.Google Scholar
Revie, W.C., Shires, M., Jackson, P., Brettle, D., Cochrane, R., Treanor, D. (2014). Color management in digital pathology. Anal Cell Pathol, 2014, 652757.CrossRefGoogle Scholar
Rhoads, D.D., Habib-Bein, N.F., Hariri, R.S., Hartman, D.J., Monaco, S.E., Lesniak, A., Duboy, J., Salama, Mel-S., Pantanowitz, L. (2016). Comparison of the diagnostic utility of digital pathology systems for telemicrobiology. J Pathol Inform, 7, 10.Google Scholar
Roa-Peña, L., Gómez, F., Romero, E. (2010). An experimental study of pathologist’s navigation patterns in virtual microscopy. Diagn Pathol, 5, 71.Google Scholar
Romo, D., Romero, E., Gonzalez, F. (2011). Learning regions of interest from low level maps in virtual microscopy. Diagn Pathol, 6, 522.Google Scholar
Saha, A., Kelley, E.F., Badano, A. (2010). Accurate color measurement methods for medical displays. Med Phys, 37, 7481.Google Scholar
Sellaro, T.L., Filkins, R., Hoffman, C., Fine, J.L., Ho, J., Parwani, A., Pantanowitz, L., Montalto, M. (2013). Relationship between magnification and resolution in digital pathology systems. J Pathol Inform, 4, 21.Google Scholar
Shrestha, P, Hulsken, B. (2014). Color accuracy and reproducibility in whole slide imaging scanners. J Med Imag, 1, 027501.Google Scholar
Silverstein, L.D., Hashmi, S.F., Lang, K., Krupinski, E.A. (2012). Paradigm for achieving color reproduction accuracy in LCDs for medical imaging. J Soc Info Disp, 20, 5362.Google Scholar
Stålhammar, G., Fuentes Martinez, N., Lippert, M., Tobin, N.P., Mølholm, I., Kis, L., Rosin, G., Rantalainen, M., Pedersen, L., Bergh, J., Grunkin, M., Hartman, J. (2016). Digital image analysis outperforms manual biomarker assessment in breast cancer. Mod Pathol, 29, 318329.Google Scholar
Tiersma, E.S.M., Peters, A.A.W., Mooij, H.A., Fleuren, G.J. (2003). Visualising scanning patterns of pathologists in the grading of cervical intraepithelial neoplasia. J Clin Pathol, 56, 677680.Google Scholar
Treanor, D., Lim, C.H., Magee, D., Bulpitt, A., Quirke, P. (2009). Tracking with virtual slides: a tool to study diagnostic error in histopathology. Histopathology, 55, 3745.Google Scholar
Vandenberghe, M.E., Scott, M.L., Scorer, P.W., Söderberg, M., Balcerzak, D., Barker, C. (2017). Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer. Sci Rep, 7, 45938.Google Scholar
Venjakob, A.C., Mello-Thoms, C. (2016). Review of prospects and challenges of eye tracking in volumetric imaging. J Med Imag, 3: 011002.Google Scholar
Webster, J.D., Dunstan, R.W. (2014). Whole-slide imaging and automated image analysis: considerations and opportunities in the practice of pathology. Vet Radiol, 51, 211223.Google Scholar
Weinstein, R.S., Graham, A.R., Lian, F., Braunhut, B.L., Barker, G.P., Krupinski, E.A., Bhattacharyya, A.K. (2012). Reconciliation of diverse telepathology system designs. Historic issues and implications for emerging markets and new applications. Acta Pathol Microbiol Immunol Scand, 120, 256275.Google Scholar
Wilbur, D.C., Madi, K., Colvin, R.B., Duncan, L.M., Faquin, W.C., Ferry, J.A., Frosch, M.P., Houser, S.L., Kradin, R.L., Lauwers, G.Y., Louis, D.N., Mark, E.J., Mino-Kenudson, M., Misdraji, J., Nielsen, G.P., Pitman, M.B., Rosenberg, A.E., Smith, R.N., Sohani, A.R., Stone, J.R., Tambouret, R.H., Wu, C.L., Young, R.H., Zembowicz, A., Klietmann, W. (2009). Whole-slide imaging digital pathology as a platform for teleconsultation: a pilot study using paired subspecialist correlations. Arch Pathol Lab Med, 133, 19491953.Google Scholar
Woolgar, J.A., Triantafyllou, A., Thompson, L.D.R., Hunt, J.L., Lewis, J.S., et al. (2014). Double reporting and second opinion in head and neck pathology. Eur Arch Oto-Rhino-Laryngol, 271, 847854.Google Scholar
Yagi, Y. (2011). Color standardization and optimization in whole slide imaging. Diagn Pathol, 6, 115.Google Scholar

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