A Randomized Study Comparing Digital Imaging to Traditional Glass Slide Microscopy for Breast Biopsy and Cancer Diagnosis

Background: Digital whole slide imaging may be useful for obtaining second opinions and is used in many countries. However, the U.S. Food and Drug Administration requires verification studies. Methods: Pathologists were randomized to interpret one of four sets of breast biopsy cases during two phases, separated by ≥9 months, using glass slides or digital format (sixty cases per set, one slide per case, n = 240 cases). Accuracy was assessed by comparing interpretations to a consensus reference standard. Intraobserver reproducibility was assessed by comparing the agreement of interpretations on the same cases between two phases. Estimated probabilities of confirmation by a reference panel (i.e., predictive values) were obtained by incorporating data on the population prevalence of diagnoses. Results: Sixty-five percent of responding pathologists were eligible, and 252 consented to randomization; 208 completed Phase I (115 glass, 93 digital); and 172 completed Phase II (86 glass, 86 digital). Accuracy was slightly higher using glass compared to digital format and varied by category: invasive carcinoma, 96% versus 93% (P = 0.04); ductal carcinoma in situ (DCIS), 84% versus 79% (P < 0.01); atypia, 48% versus 43% (P = 0.08); and benign without atypia, 87% versus 82% (P < 0.01). There was a small decrease in intraobserver agreement when the format changed compared to when glass slides were used in both phases (P = 0.08). Predictive values for confirmation by a reference panel using glass versus digital were: invasive carcinoma, 98% and 97% (not significant [NS]); DCIS, 70% and 57% (P = 0.007); atypia, 38% and 28% (P = 0.002); and benign without atypia, 97% and 96% (NS). Conclusions: In this large randomized study, digital format interpretations were similar to glass slide interpretations of benign and invasive cancer cases. However, cases in the middle of the spectrum, where more inherent variability exists, may be more problematic in digital format. Future studies evaluating the effect these findings exert on clinical practice and patient outcomes are required.

[1]  J. Elmore,et al.  Diagnostic concordance among pathologists interpreting breast biopsy specimens. , 2015, JAMA.

[2]  Richard J. Cote,et al.  Intra-observer reproducibility of whole slide imaging for the primary diagnosis of breast needle biopsies , 2014, Journal of pathology informatics.

[3]  Anil V Parwani,et al.  Clinical examination and validation of primary diagnosis in anatomic pathology using whole slide digital images. , 2011, Archives of pathology & laboratory medicine.

[4]  Bernard Têtu,et al.  Canadian licensure for the use of digital pathology for routine diagnoses: one more step toward a new era of pathology practice without borders. , 2014, Archives of pathology & laboratory medicine.

[5]  Timothy Craig Allen,et al.  Digital pathology and federalism. , 2014, Archives of pathology & laboratory medicine.

[6]  Yinhai Wang,et al.  Virtual microscopy and digital pathology in training and education , 2012, APMIS : acta pathologica, microbiologica, et immunologica Scandinavica.

[7]  John D. Pfeifer,et al.  Review of the current state of whole slide imaging in pathology , 2011, Journal of pathology informatics.

[8]  Gary Longton,et al.  Development of a diagnostic test set to assess agreement in breast pathology: practical application of the Guidelines for Reporting Reliability and Agreement Studies (GRRAS) , 2013, BMC Women's Health.

[9]  Karla Kerlikowske,et al.  Pathologic findings from the Breast Cancer Surveillance Consortium , 2006, Cancer.

[10]  Elizabeth A Rafferty,et al.  Special report: Consensus conference III. Image-detected breast cancer: state-of-the-art diagnosis and treatment. , 2009, Journal of the American College of Surgeons.

[11]  Werner Kempf,et al.  Comparative diagnostic accuracy in virtual dermatopathology , 2011, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[12]  D. Vanel The American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS): a step towards a universal radiological language? , 2007, European journal of radiology.

[13]  Catherine A. Ennis,et al.  Impact of routine pathology review on treatment for node-negative breast cancer. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  Donald L Weaver,et al.  Second opinion in breast pathology: policy, practice and perception , 2014, Journal of Clinical Pathology.

[15]  Gary Longton,et al.  A framework for evaluating diagnostic discordance in pathology discovered during research studies. , 2014, Archives of pathology & laboratory medicine.

[16]  Thomas P. Buck,et al.  Validation of a whole slide imaging system for primary diagnosis in surgical pathology: A community hospital experience , 2014, Journal of pathology informatics.

[17]  Liron Pantanowitz,et al.  Regulatory barriers surrounding the use of whole slide imaging in the United States of America , 2014, Journal of pathology informatics.

[18]  M. Bui,et al.  Diagnostic digital cytopathology: Are we ready yet? , 2013, Journal of pathology informatics.

[19]  Donald L Weaver,et al.  Medical malpractice concerns and defensive medicine: a nationwide survey of breast pathologists. , 2015, American journal of clinical pathology.

[20]  A. Sahin,et al.  Breast pathology second review identifies clinically significant discrepancies in over 10% of patients , 2015, Journal of surgical oncology.

[21]  I. Rubio,et al.  Changes in Breast Cancer Reports after Pathology Second Opinion , 2014, The breast journal.

[22]  Monica Morrow,et al.  Changes in breast cancer therapy because of pathology second opinions , 2002, Annals of Surgical Oncology.

[23]  André Huisman,et al.  Creation of a fully digital pathology slide archive by high-volume tissue slide scanning. , 2010, Human pathology.

[24]  Philip F Halloran,et al.  Superiority of virtual microscopy versus light microscopy in transplantation pathology , 2012, Clinical transplantation.

[25]  David C Wilbur,et al.  Interinstitutional whole slide imaging teleconsultation service development: assessment using internal training and clinical consultation cases. , 2015, Archives of pathology & laboratory medicine.

[26]  Alexis B. Carter,et al.  Validating whole slide imaging for diagnostic purposes in pathology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center. , 2013, Archives of pathology & laboratory medicine.

[27]  Mark A Helvie,et al.  Changes in surgical management resulting from case review at a breast cancer multidisciplinary tumor board , 2006, Cancer.

[28]  S. Jaffer,et al.  Breast Pathology Review: Does It Make a Difference? , 2014, Annals of Surgical Oncology.

[29]  Donald L Weaver,et al.  Variability in Pathologists' Interpretations of Individual Breast Biopsy Slides: A Population Perspective , 2016, Annals of Internal Medicine.

[30]  Kuang-Yu Jen,et al.  Reliability of whole slide images as a diagnostic modality for renal allograft biopsies. , 2013, Human pathology.

[31]  Donald L Weaver,et al.  Understanding diagnostic variability in breast pathology: lessons learned from an expert consensus review panel , 2014, Histopathology.

[32]  B. A. Carter A multisite performance study comparing the reading of immunohistochemical slides on a computer monitor with conventional manual microscopy for estrogen and progesterone receptor analysis , 2012 .

[33]  Dorina Gui,et al.  Diagnosis of dysplasia in upper gastro-intestinal tract biopsies through digital microscopy , 2012, Journal of pathology informatics.

[34]  Fred R. Dee Virtual microscopy in pathology education. , 2009, Human pathology.

[35]  Jesper Molin,et al.  Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 , 2014, Journal of pathology informatics.