The use of nuclear morphometry for the prediction of survival in patients with advanced cancer of the larynx

Dobroś, W; Gil, Krzysztof; Chłap, Z; Olszewski, E

doi:10.1007/s004050050153

Cited by 13 publications

(19 citation statements)

References 12 publications

(11 reference statements)

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“…Statistical analysis showed that out of 77 features, only those calculated from the two-dimensional discrete wavelet transform sustained statistically significant differences between the two classes of patients. There were no significant differences found between classes regarding fractal dimension, as in [8], or morphological features as in [9], although different IHC-staining methods were employed. However, the importance of textural, shape, and patient-related features was revealed in the present study, by means of the five features used in the best design of the MIA-system.…”

Section: Discussionmentioning

confidence: 96%

“…They have found that fractal dimension [8], cell concentration, nuclear area, perimeter, density, and roundness [9] were important cell nuclei features, and associated threshold values in those features with patient survival. In the present study, we used images from laryngeal cancer biopsy material that had been IHC stained for p63 expression, since p63 mainly targets the cell nuclei and probably renders the nuclei's texture and outline to be more discernible.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies that have investigated the survival of patients with laryngeal cancer, employing computer analysis of histopathologic images [8,9], have evaluated cell nuclei features regarding texture, morphology, or shape, using H&E-stained images of biopsy specimens. They have found that fractal dimension [8], cell concentration, nuclear area, perimeter, density, and roundness [9] were important cell nuclei features, and associated threshold values in those features with patient survival.…”

Section: Discussionmentioning

confidence: 99%

“…In these studies, nuclei parameters were evaluated from microscopy images and parameter thresholds were associated with patient survival, such as the fractal dimension [8] that evaluates texture heterogeneity of nuclei or parameters that evaluate nuclei morphometry [9], such as nuclei concentration, area, perimeter, density, and roundness.…”

Section: Introductionmentioning

confidence: 99%

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Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival

Νίνος

Kostopoulos

Kalatzis

et al. 2015

Eur Arch Otorhinolaryngol

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The aim of the present study was to design a microscopy image analysis (MIA) system for predicting the 5-year survival of patients with laryngeal squamous cell carcinoma, employing histopathology images of lesions, which had been immunohistochemically (IHC) stained for p63 expression. Biopsy materials from 42 patients, with verified laryngeal cancer and follow-up, were selected from the archives of the University Hospital of Patras, Greece. Twenty six patients had survived more than 5 years and 16 less than 5 years after the first diagnosis. Histopathology images were IHC stained for p63 expression. Images were first processed by a segmentation method for isolating the p63-expressed nuclei. Seventy-seven features were evaluated regarding texture, shape, and physical topology of nuclei, p63 staining, and patient-specific data. Those features, the probabilistic neural network classifier, the leave-one-out (LOO), and the bootstrap cross-validation methods, were used to design the MIA-system for assessing the 5-year survival of patients with laryngeal cancer. MIA-system accuracy was about 90 % and 85 %, employing the LOO and the Bootstrap methods, respectively. The image texture of p63-expressed nuclei appeared coarser and contained more edges in the 5-year non-survivor group. These differences were at a statistically significant level (p < 0.05). In conclusion, this study has proposed an MIA-system that may be of assistance to physicians, as a second opinion tool in assessing the 5-year survival of patients with laryngeal cancer, and it has revealed useful information regarding differences in nuclei texture between 5-year survivors and non-survivors.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival

Νίνος

Kostopoulos

Kalatzis

et al. 2015

Eur Arch Otorhinolaryngol

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“…However, it has been debated whether the nuclear morphometry may be considered as a significant predictor of nodal state. Some have provided data corroborating this view (Sekine et al ., ; Lavie et al ., ; Natarajan et al ., ), whereas other authors could not confirm the prognostic value of 2D nuclear morphometry (Dobros et al ., ). Also it has been questioned whether the stereological parameter of nuclear size, the volume weighted mean nuclear volume, is of prognostic value w.r.t.…”

Section: Discussionmentioning

confidence: 99%

Characterization of squamous cell carcinomas of the head and neck using methods of spatial statistics

Mattfeldt

Fleischer

2014

Journal of Microscopy

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In the present study, 53 cases of squamous cell carcinomas of the head and neck were characterized by a quantitative histological texture analysis based on principles of spatial statistics. A planar tessellation of the epithelial tumour component was generated by a skeletonization algorithm. The size distribution of the virtual cells of this planar tessellation, and the size distribution of the profiles of the tumour cell nuclei were estimated in terms of area and boundary length. The intensity, the reduced second moment function (K-function) and the pair correlation function of the point process of the centroids of the profiles of the tumour cell nuclei were also estimated. For both purposes, it is necessary to correct for edge effects, which we consider in this paper in some detail. Specifically, the point patterns of the tumour cell nuclei were considered as realizations of a point process, where the points exist only in the epithelial tumour component (the permitted phase) and not in the stroma (the forbidden phase). The methods allow to characterize each individual tumour by a series of summary statistics. The total set of cases was then partitioned into two groups: 19 cases without lymph node metastases (pN0), and 34 nodal positive cases (pN1 or pN2). Statistical analysis showed no significant differences between the intensities, the mean K-functions and the mean pair correlation functions of the tumour cell nucleus profiles of the two groups. However, there were some significant differences between the sizes of the virtual cells and of the nucleus profiles of the nodal negative cases as compared to the nodal positive cases. In a logistic regression analysis, one of the quantitative nuclear size variables (mean nuclear area) was found to be a significant predictor of lymph node metastasis, in addition to tumour stage. The study shows the potential of methods of spatial statistics for objective quantitative grading of squamous cell carcinomas of the head and neck, and provides an example for modelling histological point patterns as realizations of planar point processes occupying a reference phase which is only a partial component of the total tissue.

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Nuclear morphometric features in benign breast tissue and risk of subsequent breast cancer

Cui

Koop

Diest

et al. 2006

Breast Cancer Res Treat

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Certain nuclear morphometric features measured in breast tumor tissue have been shown to predict the prognosis of breast cancer patients. However, the application of these features to predicting risk of breast cancer development has received little attention. We conducted a case-control study to evaluate nuclear morphometric features in benign breast tissue in association with subsequent breast cancer risk. The study was nested within a cohort of 4,888 women with a histopathologic diagnosis of benign breast disease (BBD) and involved 61 cases and 71 controls, amongst whom there were 53 matched case-control sets. Conditional logistic regression models were fitted to assess various measurements of nuclear size and nuclear shape factors in relation to subsequent breast cancer risk. In multivariate analysis, subsequent breast cancer risk was positively associated with a nuclear shape factor that takes the shortest nuclear axis and the longest nuclear axis into consideration simultaneously (highest quartile versus lowest 3 quartiles: odds ratio = 3.07, 95% confidence limits = 1.61, 5.84). In contrast, there was no alteration in subsequent breast cancer risk in association with nuclear size features and other shape factors.In conclusion, our study results suggest that the shape factor that takes both the shortest nuclear axis and the longest nuclear axis into consideration might be of value to predict subsequent development of breast cancer among women with BBD.

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The use of nuclear morphometry for the prediction of survival in patients with advanced cancer of the larynx

Cited by 13 publications

References 12 publications

Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival

Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival

Characterization of squamous cell carcinomas of the head and neck using methods of spatial statistics

Nuclear morphometric features in benign breast tissue and risk of subsequent breast cancer

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