scholarly journals Feature-enhancing zoom to facilitate Ki-67 hot spot detection

2014 ◽  
Author(s):  
Jesper Molin ◽  
Kavitha Shaga Devan ◽  
Karin Wårdell ◽  
Claes Lundström
Keyword(s):  
Hot Spot ◽  
Ki 67 ◽  
Spot Detection

Tissue Ki67 proliferative index expression and pathological changes in hemodialysis arteriovenous fistulae: Preliminary single-center results

2021 ◽  
pp. 112972982110154
Author(s):  
Raffaella Mauro ◽  
Cristina Rocchi ◽  
Francesco Vasuri ◽  
Alessia Pini ◽  
Anna Laura Croci Chiocchini ◽  
...  
Keyword(s):  
Morphological Changes ◽  
Hot Spot ◽  
Wall Thickening ◽  
Proliferating Cells ◽  
Ki 67 ◽  
Group A ◽  
The Mean ◽  
Set Up ◽  
Group B

Background: Arteriovenous fistula (AVF) for hemodialysis integrates outward remodeling with vessel wall thickening in response to drastic hemodynamic changes. Aim of this study is to determine the role of Ki67, a well-established proliferative marker, related to AVF, and its relationship with time-dependent histological morphologic changes. Materials and methods: All patients were enrolled in 1 year and stratified in two groups: (A) pre-dialysis patients submitted to first AVF and (B) patients submitted to revision of AVF. Morphological changes: neo-angiogenesis (NAG), myointimal thickening (MIT), inflammatory infiltrate (IT), and aneurysmatic fistula degeneration (AD). The time of AVF creation was recorded. A biopsy of native vein in Group A and of arterialized vein in Group B was submitted to histological and immunohistochemical (IHC) analysis. IHC for Ki67 was automatically performed in all specimens. Ki67 immunoreactivity was assessed as the mean number of positive cells on several high-power fields, counted in the hot spots. Results: A total of 138 patients were enrolled, 69 (50.0%) Group A and 69 (50.0%) Group B. No NAG or MIT were found in Group A. Seven (10.1%) Group A veins showed a mild MIT. Analyzing the Group B, a moderate-to-severe MIT was present in 35 (50.7%), IT in 19 (27.5%), NAG in 37 (53.6%); AD was present in 10 (14.5%). All AVF of Group B with the exception of one (1.4%) showed a positivity for Ki67, with a mean of 12.31 ± 13.79 positive cells/hot spot (range 0–65). Ki67-immunoreactive cells had a subendothelial localization in 23 (33.3%) cases, a myointimal localization in SMC in 35 (50.7%) cases. The number of positive cells was significantly correlated with subendothelial localization of Ki67 ( p = 0.001) and with NA ( p = 0.001). Conclusions: Native veins do not contain cycling cells. In contrast, vascular cell proliferation starts immediately after AVF creation and persists independently of the time the fistula is set up. The amount of proliferating cells is significantly associated with MIT and subendothelial localization of Ki67-immunoreactive cells, thus suggesting a role of Ki-67 index in predicting AVF failure.

A parametric DFM solution for analog circuits: Electrical driven hot spot detection, analysis and correction flow

2011 ◽  
Author(s):  
Rami F. Salem ◽  
Ahmed Arafa ◽  
Sherif Hany ◽  
Abdelrahman ElMously ◽  
Haitham Eissa ◽  
...  
Keyword(s):  
Analog Circuits ◽  
Hot Spot ◽  
Detection Analysis ◽  
Spot Detection

Correlation of manual semi-quantitative and automated quantitative Ki-67 proliferative index with OncotypeDXTM recurrence score in invasive breast carcinoma

2021 ◽  
pp. 1-11
Author(s):  
Brian S. Finkelman ◽  
Amanda Meindl ◽  
Carissa LaBoy ◽  
Brannan Griffin ◽  
Suguna Narayan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Carcinoma ◽  
Hot Spot ◽  
Recurrence Score ◽  
Invasive Breast Carcinoma ◽  
Chemotherapy Response ◽  
Scoring Method ◽  
Cancer Proliferation ◽  
Ki 67 ◽  
Breast Cancer Chemotherapy

BACKGROUND: Ki-67 immunohistochemistry (IHC) staining is a widely used cancer proliferation assay; however, its limitations could be improved with automated scoring. The OncotypeDXTM Recurrence Score (ORS), which primarily evaluates cancer proliferation genes, is a prognostic indicator for breast cancer chemotherapy response; however, it is more expensive and slower than Ki-67. OBJECTIVE: To compare manual Ki-67 (mKi-67) with automated Ki-67 (aKi-67) algorithm results based on manually selected Ki-67 “hot spots” in breast cancer, and correlate both with ORS. METHODS: 105 invasive breast carcinoma cases from 100 patients at our institution (2011–2013) with available ORS were evaluated. Concordance was assessed via Cohen’s Kappa (κ). RESULTS: 57/105 cases showed agreement between mKi-67 and aKi-67 (κ 0.31, 95% CI 0.18–0.45), with 41 cases overestimated by aKi-67. Concordance was higher when estimated on the same image (κ 0.53, 95% CI 0.37–0.69). Concordance between mKi-67 score and ORS was fair (κ 0.27, 95% CI 0.11–0.42), and concordance between aKi-67 and ORS was poor (κ 0.10, 95% CI −0.03–0.23). CONCLUSIONS: These results highlight the limits of Ki-67 algorithms that use manual “hot spot” selection. Due to suboptimal concordance, Ki-67 is likely most useful as a complement to, rather than a surrogate for ORS, regardless of scoring method.

Hot spot detection for indecomposable self-aligned double patterning layout

2011 ◽  
Author(s):  
Hongbo Zhang ◽  
Yuelin Du ◽  
Martin D. F. Wong ◽  
Rasit O. Topaloglu
Keyword(s):  
Hot Spot ◽  
Spot Detection ◽  
Double Patterning

scholarly journals Eruptive Styles Recognition Using High Temporal Resolution Geostationary Infrared Satellite Data

2019 ◽  
Vol 11 (6) ◽  
pp. 669 ◽  
Author(s):  
Valerio Lombardo ◽  
Stefano Corradini ◽  
Massimo Musacchio ◽  
Malvina Silvestri ◽  
Jacopo Taddeucci
Keyword(s):  
Temporal Resolution ◽  
Hot Spot ◽  
High Temporal Resolution ◽  
Spot Detection ◽  
Infrared Imager ◽  
Mt Etna ◽  
Flow Through ◽  
Radiance Distribution ◽  
Strombolian Explosions ◽  
Infrared Data

The high temporal resolution of the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) instrument aboard Meteosat Second Generation (MSG) provides the opportunity to investigate eruptive processes and discriminate different styles of volcanic activity. To this goal, a new detection method based on the wavelet transform of SEVIRI infrared data is proposed. A statistical analysis is performed on wavelet smoothed data derived from SEVIRI Mid-Infrared( MIR) radiances collected from 2011 to 2017 on Mt Etna (Italy) volcano. Time-series analysis of the kurtosis of the radiance distribution allows for reliable hot-spot detection and precise timing of the start and end of eruptive events. Combined kurtosis and gradient trends allow for discrimination of the different activity styles of the volcano, from effusive lava flow, through Strombolian explosions, to paroxysmal fountaining. The same data also allow for the prediction, at the onset of an eruption, of what will be its dominant eruptive style at later stages. The results obtained have been validated against ground-based and literature data.

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