Literature DB >> 21585430

Inter-observer variation in the histological diagnosis of polyps in colorectal cancer screening.

Paul G van Putten1, Lieke Hol, Herman van Dekken, J Han van Krieken, Marjolein van Ballegooijen, Ernst J Kuipers, Monique E van Leerdam.   

Abstract

AIM: To determine the inter-observer variation in the histological diagnosis of colorectal polyps. METHODS AND
RESULTS: Four hundred and forty polyps were randomly selected from a colorectal cancer screening programme. Polyps were first evaluated by a general (324 polyps) or expert (116 polyps) pathologist, and subsequently re-evaluated by an expert pathologist. Conditional agreement was reported, and inter-observer agreement was determined using kappa statistics. In 421/440 polyps (96%), agreement for their non-adenomatous or adenomatous nature was obtained, corresponding to a very good kappa value of 0.88. For differentiation of adenomas as non-advanced and advanced, consensus was obtained in 266/322 adenomas (83%), with a moderate kappa value of 0.58. For the non-adenomatous or adenomatous nature, both general and expert pathologists, and expert pathologists between each other, showed very good agreement {kappa values of 0.89 [95% confidence interval (CI) 0.83-0.95] and 0.86 (95% CI 0.73-0.98), respectively}. For categorization of adenomas as non-advanced and advanced, moderate agreement was found between general and expert pathologists, and between expert pathologists [kappa values of 0.56 (95% CI 0.44-0.67) and 0.64 (95% CI 0.43-0.85), respectively].
CONCLUSIONS: General and expert pathologists demonstrate very good inter-observer agreement for differentiating non-adenomas from adenomas, but only moderate agreement for non-advanced and advanced adenomas. The considerable variation in differentiating non-advanced and advanced adenomas suggests that more objective criteria are required for risk stratification in screening and surveillance guidelines.
© 2011 Blackwell Publishing Limited.

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Year:  2011        PMID: 21585430     DOI: 10.1111/j.1365-2559.2011.03822.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  13 in total

Review 1.  Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review.

Authors:  Athena Davri; Effrosyni Birbas; Theofilos Kanavos; Georgios Ntritsos; Nikolaos Giannakeas; Alexandros T Tzallas; Anna Batistatou
Journal:  Diagnostics (Basel)       Date:  2022-03-29

2.  Interobserver Agreement in Assessing Dysplasia in Colorectal Adenomatous Polyps: A Multicentric Iranian Study.

Authors:  Tahmineh Mollasharifi; Mahsa Ahadi; Elena Jamali; Afshin Moradi; Parisa Asghari; Saman Maroufizadeh; Behrang Kazeminezhad
Journal:  Iran J Pathol       Date:  2020-04-05

Review 3.  Increased Risk of Colorectal Cancer Tied to Advanced Colorectal Polyps: An Untapped Opportunity to Screen First-Degree Relatives and Decrease Cancer Burden.

Authors:  Jennifer M Kolb; Christine L Molmenti; Swati G Patel; David A Lieberman; Dennis J Ahnen
Journal:  Am J Gastroenterol       Date:  2020-07       Impact factor: 12.045

Review 4.  Diminutive and Small Colorectal Polyps: The Pathologist's Perspective.

Authors:  Yun Kyung Kang
Journal:  Clin Endosc       Date:  2014-09-30

5.  Can digital pathology result in cost savings? A financial projection for digital pathology implementation at a large integrated health care organization.

Authors:  Jonhan Ho; Stefan M Ahlers; Curtis Stratman; Orly Aridor; Liron Pantanowitz; Jeffrey L Fine; John A Kuzmishin; Michael C Montalto; Anil V Parwani
Journal:  J Pathol Inform       Date:  2014-08-28

6.  Altered expression of fibroblast activation protein-α (FAP) in colorectal adenoma-carcinoma sequence and in lymph node and liver metastases.

Authors:  Jon Danel Solano-Iturri; Maider Beitia; Peio Errarte; Julio Calvete-Candenas; María C Etxezarraga; Alberto Loizate; Enrique Echevarria; Iker Badiola; Gorka Larrinaga
Journal:  Aging (Albany NY)       Date:  2020-05-19       Impact factor: 5.682

7.  Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.

Authors:  Jason W Wei; Arief A Suriawinata; Louis J Vaickus; Bing Ren; Xiaoying Liu; Mikhail Lisovsky; Naofumi Tomita; Behnaz Abdollahi; Adam S Kim; Dale C Snover; John A Baron; Elizabeth L Barry; Saeed Hassanpour
Journal:  JAMA Netw Open       Date:  2020-04-01

Review 8.  Who Needs Follow-Up after Endoscopic Resection of Colorectal Adenomas?

Authors:  Sebastian Belle
Journal:  Viszeralmedizin       Date:  2014-02

9.  Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization.

Authors:  Philipp Kainz; Michael Pfeiffer; Martin Urschler
Journal:  PeerJ       Date:  2017-10-03       Impact factor: 2.984

10.  Deep learning techniques for detecting preneoplastic and neoplastic lesions in human colorectal histological images.

Authors:  Paola Sena; Rita Fioresi; Francesco Faglioni; Lorena Losi; Giovanni Faglioni; Luca Roncucci
Journal:  Oncol Lett       Date:  2019-09-27       Impact factor: 2.967

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