scholarly journals Atypical cells parameter in Sysmex UN automated urine analyzer: feedback from the field

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ozgur Aydin
Keyword(s):  
Digital Imaging ◽  
Pathology Report ◽  
Atypical Cell ◽  
Cellular Atypia ◽  
Microscopic Evaluation ◽  
Atypical Cells ◽  
Long Time ◽  
A Cell ◽  
Papillary Lesions ◽  
The Mean

Abstract Background “Atypical cells” parameter in automated urinalysis has recently been introduced. An instrument capable of measuring quantitative and qualitative features of nuclear and cytoplasmic properties of a cell has the potential to detect cellular atypia. Instruments using flow cytometry have been detecting atypical cells in blood for a long time; yet instruments using the same methodology very lately developed this parameter in urinalysis. Materials and methods Samples with an atypical cells value higher than 1 atypical cell/µL were included in the study. Besides automated urinalysis, every sample was reflexed to modular unit for digital imaging. The remainder of each sample was stained with Sternheimer dye and examined manually under a light microscope. Results 50 samples with higher than1 atypical cell/µL result were included in the study. Patients were composed of 43 females (86 %) and 7 males (14 %). The mean age was 47.12 ± 19.45 years. The median atypical cells value was 1.8/µL (95 % range 1.5–2.4/µL). Manual microscopic evaluation of the 50 samples showed atypical cells in 1 sample. The patient had papillary lesions on cystoscopy and pathology report informed a high grade urothelial carcinoma. Other 49 samples were negative for atypical cells in manual microscopy. They were crowded samples with leucocytes and squamous epithelial cells. Conclusions The positive case provided evidence for Sysmex UN’s capability to detect atypical cells in urine. The negative cases presented clues that probable vulvovaginal contamination and crowded specimens could be deceptive for Sysmex UN in this particular parameter.

Atypical cells in sysmex UN automated urine particle analyzer: a case report and pitfalls for future studies

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ozgur Aydin ◽  
Onur Yapıcı ◽  
Ruksan Copuroglu
Keyword(s):  
Case Report ◽  
Blood Cells ◽  
White Blood Cells ◽  
Pathology Report ◽  
Case Presentation ◽  
Future Studies ◽  
Atypical Cells ◽  
Papillary Lesions ◽  
Automated Instrument

AbstractObjectivesSysmex UN series fully automated urine analyzer reports a series of research parameters besides routine parameters including the “atypical cells” parameter. An automated instrument in clinical use capable of detecting neoplastic cells of the urinary tract will have paramount significance.Case presentationA 73 years old male patient with a recurrent high grade urothelial carcinoma admitted to our urology outpatient clinic due to hematuria.Urinalysis showed +3 hemoglobin, +3 leukocyte esterase, 200/HPF red blood cells, 300/HPF white blood cells. The instrument also reported atypical cells (7.6/µL or 1.3/HPF) under the heading of “research parameters.” Presence of atypical cells was confirmed by the manual microscopy. The patient has undergone transurethral resection of papillary lesions and the pathology report confirmed a recurrence. On follow-up, atypical cells fell to 0.1/µL after 40 days.ConclusionsThis case report presents a patient with atypical cells in urine, detected by a fully automated urine analyzer. The atypical cells presented on the screen of the analyzer were confirmed by the manual microscopy. This presentation may influence future studies pertaining to the subject.

scholarly journals Anatomy of the Intermetatarsal Facets of the Fourth and Fifth Metatarsals

2021 ◽  
Vol 6 (1) ◽  
pp. 247301142097570
Author(s):  
Mossub Qatu ◽  
George Borrelli ◽  
Christopher Traynor ◽  
Joseph Weistroffer ◽  
James Jastifer
Keyword(s):  
Articular Cartilage ◽  
Digital Imaging ◽  
Articular Surface ◽  
Implant Design ◽  
Joint Surface ◽  
Fracture Classification ◽  
Articular Damage ◽  
Metatarsal Fracture ◽  
Metatarsal Fractures ◽  
The Mean

Background: The intermetatarsal joint between the fourth and fifth metatarsals (4-5 IM) is important in defining fifth metatarsal fractures. The purpose of the current study was to quantify this joint in order to determine the mean cartilage area, the percentage of the articulation that is cartilage, and to give the clinician data to help understand the joint anatomy as it relates to fifth metatarsal fracture classification. Methods: Twenty cadaver 4-5 IM joints were dissected. Digital images were taken and the articular cartilage was quantified by calibrated digital imaging software. Results: For the lateral fourth proximal intermetatarsal articulation, the mean area of articulation was 188 ± 49 mm2, with 49% of the area composed of articular cartilage. The shape of the articular cartilage had 3 variations: triangular, oval, and square. A triangular variant was the most common (80%, 16 of 20 specimens). For the medial fifth proximal intermetatarsal articulation, the mean area of articulation was 143 ± 30 mm2, with 48% of the joint surface being composed of articular cartilage. The shape of the articular surface was oval or triangular. An oval variant was the most common (75%, 15 of 20 specimens). Conclusion: This study supports the notion that the 4-5 IM joint is not completely articular and has both fibrous and cartilaginous components. Clinical Relevance: The clinical significance of this study is that it quantifies the articular surface area and shape. This information may be useful in understanding fifth metatarsal fracture extension into the articular surface and to inform implant design and also help guide surgeons intraoperatively in order to minimize articular damage.

Relationship between temporal and spatial averages in grid turbulence

2013 ◽  
Vol 730 ◽  
pp. 593-606 ◽  
Author(s):  
L. Djenidi ◽  
S. F. Tardu ◽  
R. A. Antonia
Keyword(s):  
Strong Support ◽  
Statistical Properties ◽  
Grid Turbulence ◽  
Mean Flow ◽  
Lateral Direction ◽  
Ergodic Hypothesis ◽  
Long Time ◽  
The Mean ◽  
Temporal And Spatial ◽  
Boltzmann Method

AbstractA long-time direct numerical simulation (DNS) based on the lattice Boltzmann method is carried out for grid turbulence with the view to compare spatially averaged statistical properties in planes perpendicular to the mean flow with their temporal counterparts. The results show that the two averages become equal a short distance downstream of the grid. This equality indicates that the flow has become homogeneous in a plane perpendicular to the mean flow. This is an important result, since it confirms that hot-wire measurements are appropriate for testing theoretical results based on spatially averaged statistics. It is equally important in the context of DNS of grid turbulence, since it justifies the use of spatial averaging along a lateral direction and over several realizations for determining various statistical properties. Finally, the very good agreement between temporal and spatial averages validates the comparison between temporal (experiments) and spatial (DNS) statistical properties. The results are also interesting because, since the flow is stationary in time and spatially homogeneous along lateral directions, the equality between the two types of averaging provides strong support for the ergodic hypothesis in grid turbulence in planes perpendicular to the mean flow.

Residual Alkaline Phosphatase Activity in Milks Subjected to Various Time-Temperature Treatments

1997 ◽  
Vol 60 (5) ◽  
pp. 525-530 ◽  
Author(s):  
C. J. PAINTER ◽  
R. L. BRADLEY
Keyword(s):  
Alkaline Phosphatase ◽  
Activity Levels ◽  
Milk Product ◽  
Milk Products ◽  
Alp Activity ◽  
High Temperature Short Time ◽  
Thermally Processed ◽  
Long Time ◽  
The Mean ◽  
Fluid Milk

Milk is routinely tested for proper pasteurization. The Scharer and Fluorophos methods, among others, test for residual alkaline phosphatase (ALP) activity to assure proper pasteurization. Until recently there were no tests available to accurately detect residual ALP activity levels below the U.S. legal limit of 1 μg of phenol or 350 mU of ALP per liter of milk. The new Fluorophos method can detect accurately residual ALP activity levels as low as 10 mU/liter. The Fluorophos method was used to investigate residual ALP activity levels in several fluid milk products. The milk products were thermally processed under various time and temperature protocols below, at, and above current U.S. Food and Drug Administration-mandated heat treatments for fluid milk and milk products. The data established values for residual ALP activity in milks pasteurized under high-temperature short-time (HTST) and low-temperature long-time (LTLT) treatments. The mean ALP activities for whole, 2% lowfat, 1% lowfat, skim, half and half, and chocolate-flavored milks thermally processed at the legal minimum HTST pasteurization treatment are 169.7 ± 12.3, 145.2 ± 9.3, 98.6 ± 8.9, 72.5 ± 4.2, 38.4 ± 4.6 and 157.3 ± 6.5 mU/liter, respectively. The mean ALP activities generated at the legal minimum LTLT pasteurization treatment are 81.8 ± 4.8, 66.4 ± 5.9, 56.4 ± 2.1, 39.1 ± 3.9, 35.0 ± 1.2 and 91.3 ± 7.7 mU/liter, respectively. The values for all milks pasteurized at the legal minimum heat treatment were significantly below the current legal cutoff for residual ALP activity of 350 mU/liter of milk or milk product.

scholarly journals Effects of cell cycle variability on lineage and population measurements of mRNA abundance

2020 ◽  
Author(s):  
Ruben Perez-Carrasco ◽  
Casper Beentjes ◽  
Ramon Grima
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Negative Binomial ◽  
Eukaryotic Cell ◽  
Cycle Duration ◽  
Cell Cycle Duration ◽  
Monotonically Decreasing Function ◽  
Binomial Mixture ◽  
A Cell ◽  
The Mean

AbstractMany models of gene expression do not explicitly incorporate a cell cycle description. Here we derive a theory describing how mRNA fluctuations for constitutive and bursty gene expression are influenced by stochasticity in the duration of the cell cycle and the timing of DNA replication. Analytical expressions for the moments show that omitting cell cycle duration introduces an error in the predicted mean number of mRNAs that is a monotonically decreasing function of η, which is proportional to the ratio of the mean cell cycle duration and the mRNA lifetime. By contrast, the error in the variance of the mRNA distribution is highest for intermediate values of η consistent with genome-wide measurements in many organisms. Using eukaryotic cell data, we estimate the errors in the mean and variance to be at most 3% and 25%, respectively. Furthermore, we derive an accurate negative binomial mixture approximation to the mRNA distribution. This indicates that stochasticity in the cell cycle can introduce fluctuations in mRNA numbers that are similar to the effect of bursty transcription. Finally, we show that for real experimental data, disregarding cell cycle stochasticity can introduce errors in the inference of transcription rates larger than 10%.

Long Time Estimates in the Mean Field Limit

2008 ◽  
Vol 190 (3) ◽  
pp. 517-547 ◽  
Author(s):  
E. Caglioti ◽  
F. Rousset
Keyword(s):  
Mean Field ◽  
Field Limit ◽  
Mean Field Limit ◽  
Time Estimates ◽  
Long Time ◽  
The Mean

scholarly journals DNA Ploidy and Markovian Analysis of Neoplastic Progression in Experimental Pancreatic Cancer

2003 ◽  
Vol 51 (3) ◽  
pp. 303-309 ◽  
Author(s):  
Russell G. Postier ◽  
Megan R. Lerner ◽  
Stan A. Lightfoot ◽  
Rick Vannarath ◽  
Mary M. Lane ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Adenocarcinoma ◽  
Dna Ploidy ◽  
Computer Assisted ◽  
Nuclear Morphology ◽  
Neoplastic Progression ◽  
Atypical Cell ◽  
Atypical Cells ◽  
Experimental Pancreatic Cancer ◽  
Markovian Analysis

Computer-assisted analysis of DNA ploidy and nuclear morphology were used to elucidate changes in the cell nucleus that occur during the development of experimental pancreatic cancer. Ductal pancreatic adenocarcinoma was induced in 49 Syrian hamsters by SC injection of N-nitrosobis (2-oxopropyl) amine; twenty hamsters served as controls. Groups of animals were sacrificed every 4 weeks for 20 weeks and adjacent sections of pancreatic tissue were H&E and Feulgen-stained for light microscopy and computer assisted cytometry. Pancreatic ductal cells were classified as normal, atypical, or malignant; tissue inflammation (pancreatitis) was also noted when present. DNA ploidy and nuclear morphology evaluation (Markovian analysis) identified an atypical cell stage clearly distinguishable from either normal or malignant cells; pancreatitis preceded this atypia. The DNA ploidy histogram of these atypical cells revealed a major diploid peak and a minor aneuploid peak. The receiver operator characteristic curve areas for a logistic regression model of normal vs atypical cells was 0.94 and for atypical vs malignant was 0.98, numbers indicative of near-perfect discrimination among these three cell types. The ability to identify an atypical cell population should be useful in establishing the role of these cells in the progression of human pancreatic adenocarcinoma.

scholarly journals Time Intervals From Onset of Clinical Manifestations to Treatment in Patients With Cancer at Hospital General San Felipe, Tegucigalpa, Honduras

2019 ◽  
pp. 1-7
Author(s):  
José A. Sánchez ◽  
Mayra G. Handal ◽  
Juan F. Vílchez Rodriguez ◽  
Sinthia I. Mejía ◽  
Annye P. Pagoaga
Keyword(s):  
Clinical Manifestations ◽  
Cross Sectional Study ◽  
Clinical Staging ◽  
Time Interval ◽  
Pathology Report ◽  
Time Intervals ◽  
Cross Sectional ◽  
Patients With Cancer ◽  
The Mean ◽  
Mean Time

PURPOSE In cancer, clinical staging is related to outcomes, and this is linked to the evolution of the disease over time. In Honduras, cancer mortality is high, and time intervals from onset of symptoms to treatment of cancer are not known. We conducted a cross-sectional study to determine these intervals. PATIENTS AND METHODS This investigation was carried out from April 25 to August 30, 2018, and included 202 patients at the main cancer referral center in Honduras. For the purposes of the study, information was obtained from patients, their caregiver, medical records, or treatment cards. Patients older than age 18 years were included after informed consent was signed. RESULTS The mean time interval from onset of symptoms to cancer treatment was 232 days. Different intervals of time were identified, and the mean of these intervals was calculated in days as follows: 68 days from onset of symptoms to first medical evaluation; 146 days from first evaluation to oncologist consultation; 26 days from cancer specialist to the pathology report; and 86 days from the histopathologic diagnosis to the beginning of treatment. Once diagnosis was established, the average elapsed times to chemotherapy, radiotherapy, surgery, and chemoradiotherapy were 88, 102, 76, and 154 days, respectively ( P < .05, when surgery is compared against chemotherapy and radiotherapy). CONCLUSION The mean time interval from symptom presentation to treatment in patients with cancer is more than 7 months. This could explain the advanced stages of disease seen at the time of treatment in Honduras, which decrease chance of cure and increase the mortality rate of cancer). Appropriate intervention to decrease these intervals must be taken to reduce mortality.

Identifying useful real-time control parameters in ozonation process

2000 ◽  
Vol 42 (3-4) ◽  
pp. 435-440 ◽  
Author(s):  
C.-P. Yu ◽  
Y.-H. Yu
Keyword(s):  
Real Time ◽  
Ozone Concentration ◽  
Control Parameters ◽  
Real Time Control ◽  
Reactor Outlet ◽  
Time Control ◽  
Long Time ◽  
Three Stages ◽  
The Mean ◽  
State Curve

Industrial wastewaters that contain phenolic compounds are resistant to biodegradation and need preoxidation to improve their biodegradabilities. Preoxidation of these wastewaters by using ozone as the chemical oxidant has been found previously to be quite effective in promoting their biodegradability. In combined ozonation and biological processes, if we want to stop ozonation at the optimum condition (i.e. the maximum biodegradability), a biodegradation test is required. Since biodegradation tests such as BOD/TOC and oxygen uptake would take a long time, we could not know the time to stop ozonation immediately. This study was undertaken to identify process parameters (pH, ORP, ozone concentration in water, ozone gas concentration at the reactor outlet) that could be useful for monitoring and real-time control purposes in ozonation processes. We want to correlate these parameters with biodegradability and intermediates formed in ozonation processes. Results showed that the rapid increase of dissolved ozone and the first plateau termination of off-gas ozone concentrations are good indicators for the depletion of p-nitrophenol, the maximum of biodegradability and the elimination of toxicity. From the mean oxidation state curve, ozonation of p-nitrophenol could be divided into three stages, and a similar pattern could also be observed in ORP profiles. From the results of this research, the application of ozone concentration and ORP profiles as real-time control parameters seems promising.

scholarly journals Design and interpretation of cell trajectory assays

2013 ◽  
Vol 10 (88) ◽  
pp. 20130630 ◽  
Author(s):  
Lucie G. Bowden ◽  
Matthew J. Simpson ◽  
Ruth E. Baker
Keyword(s):  
Cell Biology ◽  
Time Interval ◽  
Short Time Interval ◽  
Trajectory Data ◽  
Time Intervals ◽  
Different Types ◽  
Long Time ◽  
A Cell ◽  
Cell Trajectory ◽  
Short Time

Cell trajectory data are often reported in the experimental cell biology literature to distinguish between different types of cell migration. Unfortunately, there is no accepted protocol for designing or interpreting such experiments and this makes it difficult to quantitatively compare different published datasets and to understand how changes in experimental design influence our ability to interpret different experiments. Here, we use an individual-based mathematical model to simulate the key features of a cell trajectory experiment. This shows that our ability to correctly interpret trajectory data is extremely sensitive to the geometry and timing of the experiment, the degree of motility bias and the number of experimental replicates. We show that cell trajectory experiments produce data that are most reliable when the experiment is performed in a quasi-one-dimensional geometry with a large number of identically prepared experiments conducted over a relatively short time-interval rather than a few trajectories recorded over particularly long time-intervals.

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