دورية أكاديمية
Towards Population-Based Histologic Stain Normalization of Glioblastoma.
| العنوان: | Towards Population-Based Histologic Stain Normalization of Glioblastoma. |
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| المؤلفون: | Grenko CM; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.; Center for Interdisciplinary Studies, Davidson College, Davidson, NC, USA., Viaene AN; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA., Nasrallah MP; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Feldman MD; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Akbari H; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Bakas S; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. |
| المصدر: | Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop) [Brainlesion] 2020; Vol. 11992, pp. 44-56. Date of Electronic Publication: 2020 May 19. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Springer Country of Publication: Switzerland NLM ID: 101749001 Publication Model: Print-Electronic Cited Medium: Print NLM ISO Abbreviation: Brainlesion Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Cham, Switzerland : Springer, 2015- |
| مستخلص: | Glioblastoma ( 'GBM' ) is the most aggressive type of primary malignant adult brain tumor, with very heterogeneous radio-graphic, histologic, and molecular profiles. A growing body of advanced computational analyses are conducted towards further understanding the biology and variation in glioblastoma. To address the intrinsic heterogeneity among different computational studies, reference standards have been established to facilitate both radiographic and molecular analyses, e.g., anatomical atlas for image registration and housekeeping genes, respectively. However, there is an apparent lack of reference standards in the domain of digital pathology, where each independent study uses an arbitrarily chosen slide from their evaluation dataset for normalization purposes. In this study, we introduce a novel stain normalization approach based on a composite reference slide comprised of information from a large population of anatomically annotated hematoxylin and eosin ( 'H&E' ) whole-slide images from the Ivy Glioblastoma Atlas Project ( 'IvyGAP' ). Two board-certified neuropathologists manually reviewed and selected annotations in 509 slides, according to the World Health Organization definitions. We computed summary statistics from each of these approved annotations and weighted them based on their percent contribution to overall slide ( 'PCOS' ), to form a global histogram and stain vectors. Quantitative evaluation of pre- and post-normalization stain density statistics for each annotated region with PCOS > 0.05% yielded a significant (largest p = 0.001, two-sided Wilcoxon rank sum test) reduction of its intensity variation for both 'H' & 'E' . Subject to further large-scale evaluation, our findings support the proposed approach as a potentially robust population-based reference for stain normalization. |
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| معلومات مُعتمدة: | R01 NS042645 United States NS NINDS NIH HHS; S10 OD023495 United States OD NIH HHS; U24 CA189523 United States CA NCI NIH HHS; UL1 TR001878 United States TR NCATS NIH HHS |
| فهرسة مساهمة: | Keywords: Brain tumor; Computational pathology; Digital pathology; Glioblastoma; Histology; Pre-processing; Stain normalization |
| تواريخ الأحداث: | Date Created: 20200804 Latest Revision: 20240607 |
| رمز التحديث: | 20240607 |
| مُعرف محوري في PubMed: | PMC7394499 |
| DOI: | 10.1007/978-3-030-46640-4_5 |
| PMID: | 32743562 |
| قاعدة البيانات: | MEDLINE |
| DOI: | 10.1007/978-3-030-46640-4_5 |
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