ArticleBritish journal of cancer2011
Comparison of nuclear texture analysis and image cytometric DNA analysis for the assessment of dysplasia in Barrett's oesophagus.
Article in British journal of cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Exploring prognostic values of DNA ploidy, stroma-tumor fraction and nucleotyping in stage II colon cancer patients.Discover oncology · 2024Article
- Artificial intelligence technique in detection of early esophageal cancer.World journal of gastroenterology · 2020Review
- Analysis of Spatial Distribution and Prognostic Value of Different Pan Cytokeratin Immunostaining Intensities in Breast Tumor Tissue Sections.International journal of molecular sciences · 2020Article
- Article
- Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers.Journal of the National Cancer Institute · 2018Article
- The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis.Frontiers in oncology · 2018Article
- Dysplasia discrimination in intestinal-type neoplasia of the esophagus and colon via digital image analysis.Virchows Archiv : an international journal of pathology · 2016Article
- Chromatin changes predict recurrence after radical prostatectomy.British journal of cancer · 2016Article
- Whole slide image cytometry: a novel method to detect abnormal DNA content in Barrett's esophagus.Laboratory investigation; a journal of technical methods and pathology · 2015Article
- Entropy-based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2015Article
- Prognostic impact of genomic instability in colorectal cancer.British journal of cancer · 2014Article
- Epigenetically induced changes in nuclear textural patterns and gelatinase expression in human fibrosarcoma cells.Cell proliferation · 2013Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundDysplasia is a marker of cancer risk in Barrett's oesophagus (BO), but this risk is variable and diagnosis is subject to inter-observer variability. Cancer risk in BO is increased when chromosomal instability is present. Nucleotyping (NT) is a new method that uses high-resolution digital images of nuclei to assess chromatin organisation both quantitatively and qualitatively. We aimed to evaluate NT as a marker of dysplasia in BO and compare with image cytometric DNA analysis (ICM).
methodsIn all, 120 patients with BO were studied. The non-dysplastic group (n=60) had specialised intestinal metaplasia only on two consecutive endoscopies after 51 months median follow-up (IQR=25-120 months). The dysplastic group (n=60) had high-grade dysplasia or carcinoma in situ. The two groups were then randomly assigned to a training set and a blinded test set in a 1:1 ratio. Image cytometric DNA analysis and NT was then carried out on Feulgen-stained nuclear monolayers.
resultsThe best-fit model for NT gave a correct classification rate (CCR) for the training set of 83%. The test set was then analysed using the same textural features and yielded a CCR of 78%. Image cytometric DNA analysis alone yielded a CCR of 73%. The combination of ICM and NT yielded a CCR of 84%.
conclusionNucleotyping differentiates dysplastic and non-dysplastic BO, with a greater sensitivity than ICM. A combination score based on both techniques performed better than either test in isolation. These data demonstrate that NT/ICM on nuclear monolayers is a very promising single platform test of genomic instability, which may aid pathologists in the diagnosis of dysplasia and has potential as a biomarker in BO.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.