scholarly journals Quantitative nuclear texture features analysis confirms WHO classification 2004 for lung carcinomas

2006 ◽  
Vol 19 (3) ◽  
pp. 453-459 ◽  
Author(s):  
Katharina Schmid ◽  
Nina Angerstein ◽  
Silvana Geleff ◽  
Andreas Gschwendtner
Keyword(s):  
Who Classification ◽  
Texture Features ◽  
Lung Carcinomas ◽  
Nuclear Texture

scholarly journals Specific Changes of Chromatin Structure in Nuclei of Normal Epithelium Adjacent to Laryngeal Squamous Cell Carcinoma

2000 ◽  
Vol 20 (2-3) ◽  
pp. 141-150 ◽  
Author(s):  
Thomas Dreyer ◽  
Iris Knoblauch ◽  
David Garner ◽  
Alexei Doudkine ◽  
Calum MacAulay ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Laryngeal Squamous Cell Carcinoma ◽  
Texture Feature ◽  
Texture Features ◽  
Discriminant Functions ◽  
Paraffin Sections ◽  
Normal Epithelium ◽  
Integrated Optical ◽  
Nuclear Texture

The aim of this study was to confirm the existence of specific nuclear texture feature alterations of histologically normal epithelial borders nearby invasive laryngeal cancer (NC).Paraffin sections of NC and of chronic inflammations unrelated to cancer (CI) were analysed for nuclear texture and for integrated optical density (IOD‐index) and were compared to normal epithelium of patients without evidence of cancer (NE). Several discriminant functions based on nuclear texture features were trained to separate different subgroups.As the most important result, specific nuclear texture feature shifts were only found in NC with high‐density lymphocytic stroma infiltrate (NC+). Classification of nuclei of NE versus NC+ was correct in 70%. The same classifier was correct in only 58% when nuclei of NE were classified versus CI. We also found lower values of IOD‐Index within the NC+ group when compared to NE (p< 0:001).

Study on evaluating the significance of 3D nuclear texture features for diagnosis of cervical cancer

2011 ◽  
Vol 16 (10) ◽  
pp. 83-92
Author(s):  
Hyun-Ju Choi ◽  
Tae-Yun Kim ◽  
Patrik Malm ◽  
Ewert Bengtsson ◽  
Heung-Kook Choi
Keyword(s):  
Cervical Cancer ◽  
Texture Features ◽  
Nuclear Texture

scholarly journals Classification of thyroid follicular lesions based on nuclear texture features-Lesion size matters

2010 ◽  
Vol 77A (12) ◽  
pp. 1101-1102 ◽  
Author(s):  
Konradin Metze ◽  
Rita C. Ferreira ◽  
Randall L. Adam
Keyword(s):  
Texture Features ◽  
Lesion Size ◽  
Follicular Lesions ◽  
Nuclear Texture

scholarly journals The Prognostic Value of Adaptive Nuclear Texture Features from Patient Gray Level Entropy Matrices in Early Stage Ovarian Cancer

2012 ◽  
Vol 35 (4) ◽  
pp. 305-314 ◽  
Author(s):  
Birgitte Nielsen ◽  
Fritz Albregtsen ◽  
Wanja Kildal ◽  
Vera M. Abeler ◽  
Gunnar B. Kristensen ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Early Stage ◽  
Prognostic Significance ◽  
Texture Features ◽  
Gray Level ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Feature Values ◽  
Early Stage Ovarian Cancer ◽  
Nuclear Texture

Background: Nuclear texture analysis gives information about the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image, providing texture features that may be used as quantitative tools for prognosis of human cancer. The aim of the study was to evaluate the prognostic value of adaptive nuclear texture features in early stage ovarian cancer.Methods: 246 cases of early stage ovarian cancer were included in the analysis. 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. A compact set of adaptive features was computed from these matrices.Results: Univariate Kaplan-Meier analysis showed significantly better relapse-free survival (p < 0.001) for patients with low adaptive feature values compared to patients with high adaptive feature values. The 10-year relapse-free survival was about 78% for patients with low feature values and about 52% for patients with high feature values. Adaptive features were found to be of independent prognostic significance for relapse-free survival in a multivariate analysis.Conclusion: Adaptive nuclear texture features from entropy matrices contain prognostic information and are of independent prognostic significance for relapse-free survival in early stage ovarian cancer.

scholarly journals Hydrolysis Profiles of Formalin Fixed Paraffin-Embedded Tumors Based on IOD (Integrated Optical Density) and Nuclear Texture Feature Measurements

1999 ◽  
Vol 19 (3-4) ◽  
pp. 111-118
Author(s):  
Margareta Fležar ◽  
Marija Us‐Krašovec ◽  
Mario žganec ◽  
Jaka Lavrenčak ◽  
Rastko Golouh
Keyword(s):  
Texture Feature ◽  
Texture Features ◽  
Serous Carcinoma ◽  
Hydrolysis Time ◽  
Formalin Fixed Paraffin ◽  
Integrated Optical ◽  
Formalin Fixed Paraffin Embedded ◽  
Serous Tumor ◽  
Borderline Malignancy ◽  
Nuclear Texture

The aim of the study was to determine optimal hydrolysis time for the Feulgen DNA staining of archival formalin fixed paraffin‐embedded surgical samples, prepared as single cell suspensions for image cytometric measurements. The nuclear texture features along with the IOD (integrated optical density) of the tumor nuclei were analysed by an automated high resolution image cytometer as a function of duration of hydrolysis treatment (in 5 N HCl at room temperature). Tissue blocks of breast carcinoma, ovarian serous carcinoma, ovarian serous tumor of borderline malignancy and leiomyosarcoma were included in the study. IOD hydrolysis profiles showed plateau between 30 and 60 min in the breast carcinoma and leiomyosarcoma, and between 40 and 60 min in the ovarian serous carcinoma and ovarian serous tumor of borderline malignancy. Most of the nuclear texture features remained stable after 20 min of hydrolysis treatment. Our results indicate that the optimal hydrolysis time for IOD and for nuclear texture feature measurements, was between 40 and 60 min in the cell preparations from tissue blocks of three epithelial and one soft tissue tumor.

scholarly journals Entropy‐based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas

2014 ◽  
Vol 87 (4) ◽  
pp. 315-325 ◽  
Author(s):  
Birgitte Nielsen ◽  
Tarjei Sveinsgjerd Hveem ◽  
Wanja Kildal ◽  
Vera M. Abeler ◽  
Gunnar B. Kristensen ◽  
...  
Keyword(s):  
Total Population ◽  
Prognostic Markers ◽  
Texture Features ◽  
Uterine Sarcomas ◽  
Nuclear Texture

scholarly journals Image cytometric nuclear texture features in inoperable head and neck cancer: a pilot study

2011 ◽  
Vol 45 (1) ◽  
Author(s):  
Margareta Strojan-Flezar ◽  
Jaka Lavrencak ◽  
Mario Zganec ◽  
Primoz Strojan
Keyword(s):  
Head And Neck Cancer ◽  
Pilot Study ◽  
Head And Neck ◽  
Neck Cancer ◽  
Texture Features ◽  
Nuclear Texture

Pembrolizumab inducing thyroid diseases: Are there differences between patients treated for lung carcinomas and those for lymphomas?

2020 ◽  
Author(s):  
Preiato Valentina Lo ◽  
Anna Buganè ◽  
Beatrice Casadei ◽  
Stefania Salvagni ◽  
Lisa Argnani ◽  
...  
Keyword(s):  
Thyroid Diseases ◽  
Lung Carcinomas
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