ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2015
Entropy-based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas.
Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Exploring prognostic values of DNA ploidy, stroma-tumor fraction and nucleotyping in stage II colon cancer patients.Discover oncology · 2024Article
- Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers.Journal of the National Cancer Institute · 2018Article
- Effect of radiation dose reduction on texture measures of trabecular bone microstructure: an in vitro study.Journal of bone and mineral metabolism · 2018Article
- Feasibility of opportunistic osteoporosis screening in routine contrast-enhanced multi detector computed tomography (MDCT) using texture analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018Article
- Chromatin organisation and cancer prognosis: a pan-cancer study.The Lancet. Oncology · 2018Article
- Article
- Large-scale DNA organization is a prognostic marker of breast cancer survival.Medical oncology (Northwood, London, England) · 2017Article
- Predictive Nuclear Chromatin Characteristics of Melanoma and Dysplastic Nevi.Journal of pathology informatics · 2017Article
- Chromatin changes predict recurrence after radical prostatectomy.British journal of cancer · 2016Article
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7 authors.
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Abstract
Nuclear texture analysis measures the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image and is a promising quantitative tool for prognosis of cancer. The aim of this study was to evaluate the prognostic value of entropy-based adaptive nuclear texture features in a total population of 354 uterine sarcomas. Isolated nuclei (monolayers) were prepared from 50 µm tissue sections and stained with Feulgen-Schiff. Local gray level entropy was measured within small windows of each nuclear image and stored in gray level entropy matrices, and two superior adaptive texture features were calculated from each matrix. The 5-year crude survival was significantly higher (P < 0.001) for patients with high texture feature values (72%) than for patients with low feature values (36%). When combining DNA ploidy classification (diploid/nondiploid) and texture (high/low feature value), the patients could be stratified into three risk groups with 5-year crude survival of 77, 57, and 34% (Hazard Ratios (HR) of 1, 2.3, and 4.1, P < 0.001). Entropy-based adaptive nuclear texture was an independent prognostic marker for crude survival in multivariate analysis including relevant clinicopathological features (HR = 2.1, P = 0.001), and should therefore be considered as a potential prognostic marker in uterine sarcomas.
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