دورية أكاديمية
Derivation of a nuclear heterogeneity image index to grade DCIS.
| العنوان: | Derivation of a nuclear heterogeneity image index to grade DCIS. |
|---|---|
| المؤلفون: | Hayward MK; Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California San Francisco, San Francisco, CA, USA., Louise Jones J; Center for Tumor Biology, Barts Cancer Institute, John Vane Science Building, Barts and the London School of Medicine and Dentistry, UK., Hall A; Department of Pathology, Duke University Medical Center, Durham, NC, USA., King L; Department of Surgery, Duke University Medical Center, Durham, NC, USA., Ironside AJ; Department of Pathology, Western General Hospital, NHS Lothian, Edinburgh, UK., Nelson AC; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA., Shelley Hwang E; Department of Surgery, Duke University Medical Center, Durham, NC, USA., Weaver VM; Center for Bioengineering and Tissue Regeneration, Department of Surgery, University of California San Francisco, San Francisco, CA, USA.; Department of Bioengineering and Therapeutic Sciences and Department of Radiation Oncology, Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, and The Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. |
| المصدر: | Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2020 Dec 03; Vol. 18, pp. 4063-4070. Date of Electronic Publication: 2020 Dec 03 (Print Publication: 2020). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology Country of Publication: Netherlands NLM ID: 101585369 Publication Model: eCollection Cited Medium: Print ISSN: 2001-0370 (Print) Linking ISSN: 20010370 NLM ISO Abbreviation: Comput Struct Biotechnol J Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Publication: Amsterdam : Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology Original Publication: Gothenburg, Sweden : Research Network of Computational and Structural Biotechnology |
| مستخلص: | Abnormalities in cell nuclear morphology are a hallmark of cancer. Histological assessment of cell nuclear morphology is frequently used by pathologists to grade ductal carcinoma in situ (DCIS). Objective methods that allow standardization and reproducibility of cell nuclear morphology assessment have potential to improve the criteria needed to predict DCIS progression and recurrence. Aggressive cancers are highly heterogeneous. We asked whether cell nuclear morphology heterogeneity could be incorporated into a metric to classify DCIS. We developed a nuclear heterogeneity image index to objectively, and quantitatively grade DCIS. A whole-tissue cell nuclear morphological analysis, that classified tumors by the worst ten percent in a duct-by-duct manner, identified nuclear size ranges associated with each DCIS grade. Digital image analysis further revealed increasing heterogeneity within ducts or between ducts in tissues of worsening DCIS grade. The findings illustrate how digital image analysis comprises a supplemental tool for pathologists to objectively classify DCIS and in the future, may provide a method to predict patient outcome through analysis of nuclear heterogeneity. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2020 The Authors.) |
| References: | Lancet Oncol. 2006 Sep;7(9):756-65. (PMID: 16945771) Mod Pathol. 2012 Dec;25(12):1559-65. (PMID: 22899294) J Pathol Inform. 2011;2:25. (PMID: 21773056) N Engl J Med. 2004 Apr 1;350(14):1430-41. (PMID: 15070793) Cancer Lett. 1995 Mar 23;90(1):97-102. (PMID: 7720048) BMC Cancer. 2007 Sep 10;7:174. (PMID: 17845726) J Natl Cancer Inst. 2010 Feb 3;102(3):161-9. (PMID: 20071686) Eur J Cancer. 2017 Jul;80:39-47. (PMID: 28535496) PLoS One. 2014 Dec 09;9(12):e114885. (PMID: 25490766) Hum Pathol. 1998 Sep;29(9):915-23. (PMID: 9744307) Breast Care (Basel). 2013 May;8(2):149-54. (PMID: 24415964) Cancer. 2005 Jun 15;103(12):2481-4. (PMID: 15884091) Biomed Inform Insights. 2009 Jan 1;2:11-18. (PMID: 20191105) Cancer. 1994 Jan 1;73(1):118-24. (PMID: 8275415) Arch Pathol Lab Med. 2009 Jan;133(1):13-4. (PMID: 19123725) Arch Pathol Lab Med. 2009 Jan;133(1):15-25. (PMID: 19123730) J Natl Cancer Inst. 2003 Nov 19;95(22):1692-702. (PMID: 14625260) Breast. 2017 Feb;31:274-283. (PMID: 27671693) Adv Anat Pathol. 2015 Sep;22(5):294-302. (PMID: 26262511) Mod Pathol. 2018 Mar;31(3):406-417. (PMID: 29148540) Clin Cancer Res. 2008 Jan 15;14(2):370-8. (PMID: 18223211) Sci Rep. 2017 Dec 4;7(1):16878. (PMID: 29203879) Annu Rev Pathol. 2010;5:193-221. (PMID: 19824828) Trends Cancer. 2018 Apr;4(4):320-331. (PMID: 29606315) Cancer Inform. 2008;6:99-109. (PMID: 18779878) J Pathol. 2005 Jan;205(2):248-54. (PMID: 15641021) J Oncol Pract. 2010 Jul;6(4):195-7. (PMID: 21037871) Breast Cancer Res. 2019 Jul 29;21(1):83. (PMID: 31358020) Cancer. 2005 May 1;103(9):1778-84. (PMID: 15770688) Mod Pathol. 2001 Oct;14(10):937-41. (PMID: 11598161) Cancer Inform. 2010 Sep 07;9:209-16. (PMID: 20981137) Cancer. 1997 Nov 1;80(9):1798-802. (PMID: 9351550) |
| معلومات مُعتمدة: | R35 CA242447 United States CA NCI NIH HHS |
| فهرسة مساهمة: | Keywords: Breast cancer; Heterogeneity; Image analysis; Nuclear morphology; Pathology |
| تواريخ الأحداث: | Date Created: 20201228 Latest Revision: 20240502 |
| رمز التحديث: | 20240502 |
| مُعرف محوري في PubMed: | PMC7744935 |
| DOI: | 10.1016/j.csbj.2020.11.040 |
| PMID: | 33363702 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2001-0370 |
|---|---|
| DOI: | 10.1016/j.csbj.2020.11.040 |