Showing papers by "Nebojša T. Milošević published in 2015"
TL;DR: This preliminary study indicates the potential use of primary breast tumor histology texture as a highly accurate, simple, and cost-effective prognostic indicator of distant metastasis risk.
Abstract: Owing to exceptional heterogeneity in the outcome of invasive breast cancer it is essential to develop highly accurate prognostic tools for effective therapeutic management. Based on this pressing need, we aimed to improve breast cancer prognosis by exploring the prognostic value of tumor histology image analysis. Patient group (n=78) selection was based on invasive breast cancer diagnosis without systemic treatment with a median follow-up of 147 months. Gray-level co-occurrence matrix texture analysis was performed retrospectively on primary tumor tissue section digital images stained either nonspecifically with hematoxylin and eosin or specifically with a pan-cytokeratin antibody cocktail for epithelial malignant cells. Univariate analysis revealed stronger association with metastasis risk by texture analysis when compared with clinicopathological parameters. The combination of individual clinicopathological and texture variables into composite scores resulted in further powerful enhancement of prognostic performance, with an accuracy of up to 90%, discrimination efficiency by the area under the curve [95% confidence interval (CI)] of 0.94 (0.87-0.99) and hazard ratio (95% CI) of 20.1 (7.5-109.4). Internal validation was successfully performed by bootstrap and split-sample cross-validation, suggesting that the models are generalizable. Whereas further validation is needed on an external set of patients, this preliminary study indicates the potential use of primary breast tumor histology texture as a highly accurate, simple, and cost-effective prognostic indicator of distant metastasis risk.
41 citations
TL;DR: Fractal analysis was performed for the first time on routinely produced archived pan-tissue stained primary breast tumor sections, indicating its potential for clinical use as a simple and cost-effective prognostic indicator of distant metastasis risk to complement the molecular approaches for cancer risk prognosis.
Abstract: Aim: Research in the field of breast cancer outcome prognosis has been focused on molecular biomarkers, while neglecting the discovery of novel tumor histology structural clues. We thus aimed to improve breast cancer prognosis by fractal analysis of tumor histomorphology. Patients & methods: This retrospective study included 92 breast cancer patients without systemic treatment. Results: Fractal dimension and lacunarity of the breast tumor microscopic histology possess prognostic value comparable to the major clinicopathological prognostic parameters. Conclusion: Fractal analysis was performed for the first time on routinely produced archived pan-tissue stained primary breast tumor sections, indicating its potential for clinical use as a simple and cost-effective prognostic indicator of distant metastasis risk to complement the molecular approaches for cancer risk prognosis.
14 citations
TL;DR: The MRI appearance of the ligaments within the external space of the lumbar intervertebral foramen is examined by correlating MR images with the corresponding anatomic dissection of the cadaverLumbar spine to confirm that external transforaminal ligaments are common structures in the interverTEbral foramina.
Abstract: The purpose of this study was to examine the MRI appearance of the ligaments within the external space of the lumbar intervertebral foramen by correlating MR images with the corresponding anatomic dissection of the cadaver lumbar spine. This was a two part study. Part I of the anatomic study consisted of the dissection of lumbar specimens from one embalmed adult male cadaver. At each lumbar level the external ligamentous structures were identified and their origin, insertion and position were determined. Part II of the study consisted of the anatomical analysis of the external transforaminal ligaments in the 180 lumbar intervertebral foramina on the MR images (1.5 T) in the sagittal plane. The diagnostic procedure was performed on 18 individuals from 18 to 25 years of age. The external transforaminal ligaments were observed at all levels and from both sides in the lumbar intervertebral foramen. The presence of the superior corporotransverse ligament was found in 45.56 % intervertebral foramina, while the inferior corporotransverse ligament was found in 61.67 % intervertebral foramina in the MRI. Our results confirm that external transforaminal ligaments are common structures in the intervertebral foramen. The results of this study show that the external transforaminal ligaments can be clearly visualized in MR images. It is crucial to have previous knowledge of the cadaveric specimens to recognize the transforaminal ligaments in MR images. The presence of these ligaments is clinically important because the ligaments could be the cause of nerve root compression or the low back pain syndrome.
12 citations
TL;DR: Human dentate nucleus neurons can be classified in four neuron types according to their quantitative histomorphological properties and there is no statistically significant difference in between central and border neurons for each measured parameter.
10 citations
TL;DR: Experimental results show that the PWV of the expansion waves is higher than the compression waves during the same experimental conditions, and a relationship between PWV, fluid density and viscosity is found.
10 citations
TL;DR: Data show that suggested groups of spiny neurons in the human caudate nucleus differ in their morphology, since the structure and function of cells are closely correlated, it is possible that these morphologically different types of neurons may represent different functional groups.
Abstract: The caudate nucleus, as a part of the striatum (neostriatum or dorsal striatum), is involved in the control of cognitive, motor and limbic functions. The majority of the caudate nucleus cells are projection spiny neurons, whose activity is determined by excitatory inputs from the cortex, thalamus, globus pallidus and brainstem. A qualitative analysis of human caudate nucleus neurons involves the description of the structure and features of cells, and accordingly, their classification into an appropriate type. The aim of this study is to determine the justification of the current qualitative classification of spiny neurons in the precommissural head of the human caudate nucleus by quantifying morphological properties of neurons. After the qualitative analysis of microscopic images of the Golgi-impregnated caudate nucleus neurons, five morphological properties of cells were measured/quantified. In terms of the dendritic field area, caudate nucleus neurons were divided into two subgroups: small and large neurons. In our sample of 251 projection nerve cells, 58.17 % (146) were small and 41.83 % (105) were large neurons. These data show that suggested groups of spiny neurons in the human caudate nucleus differ in their morphology. Since the structure and function of cells are closely correlated, it is possible that these morphologically different types of neurons may represent different functional groups.
9 citations