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The purpose of this study is to evaluate the impact of eliminating a preprocedural planning computed tomography during CT-guided bone marrow biopsy on the technical aspects of the procedure, including patient dose, sample quality, procedure time, and CT fluoroscopy usage. Retrospective analysis of 109 patients between 1 June 2018 and 1 January 2021 was performed. Patients were grouped based on whether they received a planning CT scan. Relative radiation exposure was measured using dose-length product (DLP). Secondary metrics included number of CT fluoroscopic acquisitions until target localization, total number of CT fluoroscopic acquisitions, biopsy diagnostic yield, and procedure time. A total of 43 bone marrow biopsies with planning CT scans (Group 1) and 66 bone marrow biopsies without planning CT scans (Group 2) were performed. The average total DLP for Group 1 and Group 2 was 268.73 mGy*cm and 50.92 mGy*cm, respectively. The mean radiation dose reduction between the groups was 81% (p &lt, 0.0001). Significantly more CT fluoroscopy acquisitions were needed for needle localization in Group 2 than Group 1 (p &lt, 0.0001). Total number of CT fluoroscopy acquisitions was four for Group 1 and eight for Group 2 (p = 0.0002). There was no significant difference between the groups in procedure time or diagnostic yield. Patients without a planning CT scan received more fluoroscopic CT acquisitions but overall were exposed to significantly less radiation without an increase in procedure time.

BACKGROUND The management of affected results in haemolysed samples (HS) is debated. In an infant-maternity setting, for reporting interfered test results, we provided the result itself, the degree of haemolysis (as free haemoglobin concentration), and a warning recommending sample recollection. We investigated the impact of this approach on sample quality and clinicians' decision-making. METHODS Free haemoglobin was measured on Beckman Coulter AU680 as haemolytic index. We estimated the total HS number, the clinical wards more affected by HS, the most interfered analytes, and the retesting rate of interfered tests, by comparing data from Apr-Dec 2017, the period just after the introduction of the new policy, vs. Apr-Dec 2018. RESULTS One year after the new report introduction, a significant HS decrease (5.8% vs. 7.8%, P

Hair segment analysis is a valuable tool for the assessment of cumulative long-term steroid secretion. Preliminary findings suggest comparable cortisol concentrations in hair collected by instructed laypersons and research staff. However, it remains unclear whether hair sample quality and hair steroids other than cortisol are affected by level of experience (laypersons vs. research staff), home collection circumstances (instructions, familiarity to participant, performance confidence), and characteristics of the layperson (conscientiousness). Sixty participants (23.6 ± 3.9 years; 43 females) provided hair samples twice: first collected by laypersons (HOME) according to provided instructions (written vs. written/video-based instructions) and second by trained research staff (LAB) on the same day or the day after the HOME collection. Hair steroid concentrations (cortisol, cortisone, DHEA, progesterone) were determined using LC–MS/MS. Hair sample quality was evaluated using nine predefined criteria. Laypersons completed questionnaires for the assessment of potential factors of hair outcome measures (hair steroid concentrations, hair sample quality). Hair steroids from HOME and LAB samples were positively correlated (rs between 0.76 and 0.89) and did not significantly differ, with the exception of cortisone. The quality of hair samples was significantly higher for LAB than for HOME samples. Neither HOME collection circumstances nor layperson-related characteristics had an impact on hair outcome measures. However, a low self-reported performance confidence predicted a high absolute difference between HOME and LAB DHEA. In summary, our findings suggest higher quality of hair samples collected by trained research staff compared to instructed laypersons. However, these differences might be negligible, considering the high correlation between HOME and LAB hair steroid concentrations, with the characteristics of the layperson or collection circumstances having a minor impact on hair steroids and hair sample quality. These findings provide further support for the notion that well-instructed laypersons can be enabled to collect hair samples. Supplementary Information The online version contains supplementary material available at 10.1007/s00702-021-02367-3.

La aspiración con aguja fina (ACAF) es una técnica ampliamente utilizada por su alta seguridad y fácil uso. Sin embargo, al usarse en conjunto con la evaluación rápida de la muestra en el sitio de la toma (ROSE, del inglés, Rapid On-Site Evaluation), disminuyen los tiempos necesarios para la evaluación y el diagnóstico, mejora la calidad de la muestra, disminuye el número de punciones por procedimiento y limita la necesidad de repetir la prueba, lo que hace que el uso combinado de ambas técnicas sea de gran utilidad y cada vez más solicitado en los servicios de imágenes diagnósticas y patología. ROSE, además, permite una clasificación adecuada del material recolectado para cultivos, estudios de citometría de flujo y pruebas moleculares. Particularmente, en los pacientes con nódulos tiroideos, la realización de ROSE durante el procedimiento de evaluación ecográfica y punción, puede garantizar que la muestra extraída sea suficiente y adecuada para el diagnóstico, y, así mismo, permite evaluar la necesidad de estudios complementariosde manera inmediata, brindando un diagnóstico rápido y preciso, disminuyendo los costos relacionados con la repetición del procedimiento y la morbilidad asociada a complicaciones por punciones múltiples.

Biobanking is one of the most valuable tools in precision medicine. The ability of scientists to sequence tumors, blood, and normal tissue obtained from biorepositories has defined efficacious tumor targeting and a much better understanding of cancer pathology pathways. However, these biorepositories require a great deal of effort to establish and maintain. Oncology nurses are key in helping to bank tissue during routine procedures as well as complex surgeries. Nurses can obtain informed consent from patients and coordinate the banking of samples in a timely manner to ensure sample quality. Oncology nurses play an important role in informing patients of their biobanking options and connecting patients with the appropriate team for their biobanking needs.

Background Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is recommended for the diagnosis of solid pancreatic masses. We aimed to evaluate whether a high needle movement acceleration value during puncture increases diagnostic accuracy. Methods EUS-FNA needle acceleration was measured using a PocketLab accelerometer connected by Bluetooth to a smartphone. Two passes (fast and slow, with higher and lower than 1g [9.8 m/s2] needle acceleration values, respectively) were performed in a random order. The sample cellularity and quality were measured using semiquantitative scales. Results 51 patients were included (32 women; mean age 63). The mean (standard deviation [SD]) acceleration values were 1.59g (0.66g) for the fast pass and 0.32g (0.19g) for the slow pass (P Conclusions A higher than 1g EUS-FNA needle acceleration may increase the diagnostic accuracy and specimen quality from solid pancreatic lesions.

Allergists and immunologists rely on other specialists for higher risk procedures such as biopsies of the lung or gastrointestinal tract. However, we perform and interpret a handful of procedures ourselves. Training programs have historically required competency for prescribing immunoglobulin infusions, patch testing, rhino laryngoscopy, lung function testing, and provocation testing for airway hyperreactivity even though other specialists often perform them. Bone marrow aspirations and biopsies are not included in fellowship training assessments despite a significant number of marrow evaluations being requested by allergists and immunologists. For example, nearly 1 marrow assessment per month has been requested over 2 years for patients in the Allergy Immunology Clinic at Walter Reed National Military Medical Center. Marrow assessments are often required for diagnosis, monitoring, and treatment-related toxicities. Interpretive and procedural competency would benefit the field given the range of diseases in clinical immunology practice that require marrow assessment. We have generated a comprehensive list of the major conditions that might require bone marrow assessments in any Allergy and Immunology practice. We then summarize the specific tests that must be ordered and show how to determine sample quality. Finally, some providers may desire procedural competency and for those individuals we discuss tips for the procedure.

Background/AimsAcanthamoeba keratitis (AK) is a rare but sight-threatening infection. Molecular diagnosis of corneal scraping has improved the diagnosis of AK. Different molecular targets and conditions have been used in diagnosis thus far. In this study, we prospectively compared the performance of five PCR assays on corneal samples for the diagnosis of AK.Methods1217 corneal scraping samples were obtained from patients, for whom an AK was suspected. Sample processing involved both molecular diagnostics and culture. Acanthamoeba PCR assays detected different regions of the Acanthamoeba nuclear small-subunit rRNA gene: three final point PCR assays using Nelson, ACARNA and JDP1–JDP2 pairs of primers, and two real-time PCR assays using Acant primer-probe. Human DNA and internal control were co-amplified in the real-time PCR assay to ensure scraping quality and the absence of inhibitors. In the absence of a gold standard, the performance of each test was evaluated using latent class analysis. Genotypes of Acanthamoeba isolates were also characterised.ResultsEstimated prevalence of AK was 1.32%. The sensitivity of Acanthamoeba diagnostic PCRs (73.3% to 86.7%) did not differ significantly from that of culture (66.7%), or according to the target sequence or the technology. Sensitivity could be increased to 93.8% or 100% by combining two or three assays, respectively. PCR specificity (99.3% to 100%) differed between the assays. T4 was the predominant Acanthamoeba genotype (84.6%).ConclusionsCulture and a single PCR assay could lead to misdiagnosing AK. A combination of different PCR assays and improved sample quality could increase diagnosis sensitivity.

Background In the absence of rapid on‐side pathological evaluation, endoscopy staff generally “smears” endoscopic ultrasound guided fine needle aspiration (EUS‐FNA) specimens on a glass slide. As this technique is vulnerable to preparation artifacts, we assessed if its quality could be improved through a smear‐preparation‐training for endoscopy staff. Methods In this prospective pilot study, 10 endosonographers and 12 endoscopy nurses from seven regional EUS‐centers in the Netherlands were invited to participate in a EUS‐FNA smear‐preparation‐training. Subsequently, post training slides derived from solid pancreatic lesions were compared to pre‐training “control” slides. Primary outcome was to assess if the training positively affects smear quality and, consequently, diagnostic accuracy of EUS‐FNA of solid pancreatic lesions. Results Participants collected and prepared 71 cases, mostly pancreatic head lesions (48%). Sixty‐eight controls were selected from the pretraining period. The presence of artifacts was comparable for smears performed before and after training (76% vs 82%, P = .36). Likewise, smear cellularity (≥50% target cells) before and after training did not differ (44% (30/68) vs 49% (35/71), P = .48). Similar, no difference in diagnostic accuracy for malignancy was detected (P = .10). Conclusion In this pilot EUS‐FNA smear‐preparation‐training for endoscopy personnel, smear quality and diagnostic accuracy were not improved after the training. Based on these results, we plan to further study other training programs and possibilities.

Most of raptor species rehabilitated for conservation purpose at WRC Jogja are eagles. Annually, we perform general raptor examination involving conventional routine hematologic examination. However, low sample quality and over dense blood cell population during total erythrocyte and leukocyte counting were deemed as obstacles. This study aimed to give wider insight in how total erythrocyte and leukocyte counting was performed at WRC Jogja to overcome those obstacles. Firstly, handling and restraint were done physically adapting the Aba method. One-to-two half millilitres of blood was collected from the ulnar vein using 3-ml-syringe with 24-gauge-needle which was then preserved in an EDTA-containing tube and proceeded to subsequent method no more than 3 hours after collection. No hypovolemic shock was observed. During total erythrocyte and leukocyte counting using Neubauer-ruled counting chamber, we modified the dilution factor to be 250-fold and 50-fold respectively. This method yielded a countable cell density and can be applied in other species in similar condition.

Background and study aims The traditional “smear technique” for processing and assessing endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is sensitive to artifacts. Processing and evaluation of specimens collected in a liquid medium, liquid-based cytology (LBC) may be a solution. We compared the diagnostic value of EUS-FNA smears to LBC in pancreatic solid lesions in the absence of rapid on-site evaluation (ROSE). Patients and methods Consecutive patients who required EUS-FNA of a solid pancreatic lesion were included in seven hospitals in the Netherlands and followed for at least 12 months. Specimens from the first pass were split into two smears and a vial for LBC (using ThinPrep and/or Cell block). Smear and LBC were compared in terms of diagnostic accuracy for malignancy, sample quality, and diagnostic agreement between three cytopathologists. Results Diagnostic accuracy for malignancy was higher for LBC (82 % (58/71)) than for smear (66 % (47/71), P = 0.04), but did not differ when smears were compared to ThinPrep (71 % (30/42), P = 0.56) or Cell block (62 % (39/63), P = 0.61) individually. Artifacts were less often present in ThinPrep (57 % (24/42), P = 0.02) or Cell block samples (40 % (25/63), P Conclusion After a single pass, LBC provides higher diagnostic accuracy than the conventional smear technique for EUS-FNA of solid pancreatic lesions in the absence of ROSE. Therefore, LBC, may be an alternative to the conventional smear technique, especially in centers lacking ROSE.

Background The qualitative transcriptional characteristics, the within‐sample relative expression orderings (REOs) of genes, are highly robust against batch effects and sample quality variations. Hence, we develop a qualitative transcriptional signature based on REOs to predict the biochemical recurrence risk of prostate cancer (PCa) patients after radical prostatectomy. Methods Gene pairs with REOs significantly correlated with the biochemical recurrence‐free survival (BFS) were identified from 131 PCa samples in the training data set. From these gene pairs, we selected a qualitative transcriptional signature based on the within‐sample REOs of gene pairs which could predict the recurrence risk of PCa patients after radical prostatectomy. Results A signature consisting of 74 gene pairs, named 74‐GPS, was developed for predicting the recurrence risk of PCa patients after radical prostatectomy based on the majority voting rule that a sample was assigned as high risk when at least 37 gene pairs of the 74‐GPS voted for high risk; otherwise, low risk. The signature was validated in six independent datasets produced by different platforms. In each of the validation datasets, the Kaplan‐Meier survival analysis showed that the average BFS of the low‐risk group was significantly better than that of the high‐risk group. Analyses of multiomics data of PCa samples from TCGA suggested that both the epigenomic and genomic alternations could cause the reproducible transcriptional differences between the two different prognostic groups. Conclusions The proposed qualitative transcriptional signature can robustly stratify PCa patients after radical prostatectomy into two groups with different recurrence risk and distinct multiomics characteristics. Hence, 74‐GPS may serve as a helpful tool for guiding the management of PCa patients with radical prostatectomy at the individual level.

Objectives: To determine biopsy device failures, causative factors, complications and sample quality of the 16G end-cut Biopince™ and side-notch Bard™ needles. Methods: All ultrasound-guided non-targeted liver biopsies between 01/01/2016 and 31/12/2018 were included. Operator, device, number of failures, complications and repeat biopsies were recorded. Histopathology samples were reviewed for all cases of needle failure and a group with no failures, and graded “yes/no” for the presence of steatosis, inflammation and fibrosis. The pathology slides from these cases were reviewed to assess biopsy sample quality (length and portal tract number). The failure and no-failure groups were compared in terms of device type/histology, and sample quality was compared between the needle types. Results: 1004 patients were included. 93.8% (n = 942) required one needle pass to obtain a sample and 6.2% (n = 62) required >1 pass due to needle failure. Total of 76 needle failures, more with end-cut than side-notch needles (8.7% vs 2.9%) (p < 0.001). No needle failures resulted in complication. The presence of liver fibrosis was associated with fewer needle failures (p = 0.036). The major complication rate was 0.4% (4/1044). A biopsy with >10 portal tracts was obtained in 90.2% of specimens > 20 mm long, compared with 66% of 16–20 mm biopsies and 21% of 10 portal tracts was achieved in 10/26 (38.5%) of side-notch biopsies and 64/90 (71.1%) of end-cut biopsies (p = 0.004). Conclusion: Ultrasound-guided liver biopsy is safe and sample quality is consistently good when a core >20 mm long is obtained. The end-cut biopsy device generated reliably good quality biopsy samples; however, the needle failure rate was significantly higher than the side-cut needle. Advances in knowledge: Ultrasound-guided liver biopsy specimen quality is consistently good when a core >20 mm long is obtained which can be achieved with a single pass using the 16G BiopinceTM end-cut needle, although the needle failure rate is significantly higher than the 16G Max-Core™ Bard™ side-notch needle.

Objective. To compare the cytology quality of ultrasound-guided fine-needle biopsy in thyroid nodules with 22-, 23-, and 25-gauge (G) needles prospectively. Methods. A total of 240 consecutive nodules underwent ultrasound-guided fine-needle aspiration (USG-FNA) and 240 nodules underwent ultrasound-guided fine-needle capillary (USG-FNC) were included in this prospective study from October 2014 to February 2016. Each nodule was sampled using 22 G, 23 G, and 25 G needle according to designed orders, and 1240 smears were finally obtained. Cytology quality was scored by a cytologist blinded to needle selection. Results. In USG-FNA, the average scores and standard deviations were 5.50 ± 2.87 for 25 G needles, 4.82 ± 2.95 for 23 G needles, and 5.19 ± 2.81 for 22 G needles. In USG-FNC, the average scores and standard deviations of each group were 5.12 ± 2.69 for 25 G, 4.60 ± 2.90 for 23 G, and 4.90 ± 2.90 for 22 G needles. The specimen quality scores of 25 G group were significantly higher than that of 23 G group ( P < 0.017 ) in both USG-FNA and USG-FNC. However, the differences were not statistically significant in nondiagnostic rate using different gauge of needles ( P > 0.017 for all). Conclusions. 25 G needles obtained the highest scores of sample quality in thyroid FNA and FNC comparing with 22 G and 23 G needles. 25 G needle should be first choice of thyroid FNA and FNC in routine work.

Cerebrospinal fluid sample collection and analysis is imperative to better elucidate central nervous system injury and disease in children. Sample collection methods are varied and carry with them certain ethical and biologic considerations, complications, and contraindications. Establishing best practices for sample collection, processing, storage, and transport will ensure optimal sample quality. Cerebrospinal fluid samples can be affected by a number of factors including subject age, sampling method, sampling location, volume extracted, fraction, blood contamination, storage methods, and freeze-thaw cycles. Indicators of sample quality can be assessed by matrix-associated laser desorption/ionization time-of-flight mass spectrometry and include cystatin C fragments, oxidized proteins, prostaglandin D synthase, and evidence of blood contamination. Precise documentation of sample collection processes and the establishment of meticulous handling procedures are essential for the creation of clinically relevant biospecimen repositories. In this review we discuss the ethical considerations and best practices for cerebrospinal fluid collection, as well as the influence of preanalytical factors on cerebrospinal fluid analyses. Cerebrospinal fluid biomarkers in highly researched pediatric diseases or disorders are discussed.

WOS: 000466852000001, Objective: To qualitatively investigate whether a prototype brush composed of metal bristles collects oral epithelial cells effectively for cytological evaluation of oral mucosal lesions. Material and Methods: Twenty patients with suspicious oral mucosal lesions were enrolled. Patients were asked to gargle with saline and to deposit the oral rinse into specimen cup. Then, oral mucosal cell samples were collected using a metal oral brush, via sweeping motion. Punch biopsy was performed for histological examination. All samples were evaluated with liquid based cytology (LBC) according to the cellularity, the depth of the epithelial layer, cellular integrity by an oral pathologist. Results: Oral rinse provided samples with 100% cellular integrity and cellularity, mostly from the intermediary layers. With metal brush, both inadequate cellularity and cellular integrity was observed in 25% of the cases. Cellular integrity was adequate in 65%, cellularity was adequate in 45% of the lesions. Samples were dominantly from the intermediary layers, but in one case, metal brush collected cells from the parabasal layer. Conclusion: The narrow spiral pitch and width of metal bristles may have resisted to release the cellular samples collected. With adjustment of the spiral pitch and diameter of metal brush bristles, its efficacy could be enhanced.

BACKGROUND AND AIM: A recently carried out randomized controlled trial showed the benefit of a novel 20-G fine-needle biopsy (FNB) over a 25-G fine-needle aspiration (FNA) needle. The current study evaluated the reproducibility of these findings among expert academic and non-academic pathologists. METHODS: This study was a side-study of the ASPRO (ASpiration versus PROcore) study. Five centers retrieved 74 (59%) consecutive FNB and 51 (41%) FNA samples from the ASPRO study according to randomization; 64 (51%) pancreatic and 61 (49%) lymph node specimens. Samples were re-reviewed by five expert academic and five non-academic pathologists and rated in terms of sample quality and diagnosis. Ratings were compared between needles, expert academic and non-academic pathologists, target lesions, and cytology versus histological specimens. RESULTS: Besides a higher diagnostic accuracy, FNB also provided for a better agreement on diagnosing malignancy (ĸ = 0.59 vs ĸ = 0.76, P

Generative Adversarial Networks (GANs) can automatically generate quality images from learned model parameters. However, it remains challenging to explore and objectively assess the quality of all possible images generated using a GAN. Currently, model creators evaluate their GANs via tedious visual examination of generated images sampled from narrow prior probability distributions on model parameters. Here, we introduce an interactive method to explore and sample quality images from GANs. Our first two user studies showed that participants can use the tool to explore a GAN and select quality images. Our third user study showed that images sampled from a posterior probability distribution using a Markov Chain Monte Carlo (MCMC) method on parameters of images collected in our first study resulted in on average higher quality and more diverse images than existing baselines. Our work enables principled qualitative GAN exploration and evaluation.

Background Oncology patients have frequent venipunctures, which causes scarring, making subsequent draws difficult and painful. Novel blood collection systems may decrease discomfort in patients experiencing repeat blood draws. Methods Oncology outpatients (n = 101; criteria excluded 12) were recruited to determine their preference for either of two blood collection systems, the 23-gauge standard BD Vacutainer Push Button Blood Collection Set (Standard Push Button system) or the 25-gauge BD Vacutainer UltraTouch Push Button Blood Collection Set (UltraTouch Push Button system). Subjects received two blinded, randomized blood draws, one with each device and just one device for each arm. Subjects subsequently rated their blinded preference for blood collection system. Specimen quality was assessed for each device with measurements for plasma hemoglobin (Shimadzu UV-1800 spectrophotometer, Shimadzu), lactate dehydrogenase, and potassium (Vitros 4600/5600 analyzer, Ortho Diagnostics). Results Preference for the 25-gauge UltraTouch Push Button system over the 23-gauge Standard Push Button system was significant (UltraTouch, n = 51; Standard n = 30; no preference, n = 8; P = 0.0196). Regarding sample quality, the 25-gauge UltraTouch Push Button system had significantly lower plasma hemoglobin (average 5.34 mg/dL) vs the 23-gauge Standard Push Button system (9.37 mg/dL; P Conclusion Subjects in an oncology clinic preferred phlebotomy with the 25-gauge UltraTouch Push Button system, and samples using this device had less hemolysis as assessed by plasma hemoglobin.

The problem of invasive insect image accuracy identification is diffcult when the proportion of right samples is small and the quality of image is not very high. This article proposes a TRML (Transfer-Residual-network-Maximumentropy-Learning) model that can effectively identify invasive insects in a large amount of information. It compensates for the small proportion of invasive samples and low sample quality that often exist in actual intrusion problems. This article takes the Asian Hornet invasion of North America as an experiment, it show that the accuracy of the model test reaches 94.25%, and it indicates that the accuracy of the sample can be significantly improved. It also provides a new solution for solving this kind of feedback identification problem.

Assessment of fermentation as the heart of the bread making process is of significant importance. For this mean a variety of methods and devices have already been invented but have always faced drawbacks such as limitation in predicting and monitoring the fermentation in situ, due to fluctuating fermentation conditions. The aim of this study is manufacturing of a system for continuous, accurate and simultaneous monitoring of pressure and temperature of bread dough in real fermentation condition by means of in-contact measurement of dough pressure during fermentation. In this research a new method in terms of dough pressure and temperature measurement during fermentation was designed in which the instrument was given the name of “fermetron”; then its precision and correctness on different flours were validated according to reliable rheological tests using alveograph and rheofermentometer. Given the close trends among parameters of rheofermentometer and alveograph with those of fermetron, its validation in regard to monitoring dough fermentation was confirmed. The tests results, while confirming the accuracy and precision of the fermetron performance, show the significant effect of the flour sample quality on the process of fermentation. Fermetron exhibits the pressure evaluation results graphically. Each graph includes five main parts which is correspondent to dough state in terms of gas production initiation, gas production rate, gas retention, gas release, yeast activity end, and multistage gas release, respectively.

ObjectiveWales has an immunoreactive trypsin (IRT)-DNA cystic fibrosis (CF) newborn screening (NBS) programme. Most CF NBS false negative cases are due to an IRT concentration below the screening threshold. The accuracy of IRT results is dependent on the quality of the dried bloodspot (DBS) sample. The aim of this study was to determine the cause of false negative cases in CF NBS and their relationship to DBS quality.DesignLongitudinal birth cohort.SettingWales 1996–2016.PatientsChildren with CF.InterventionsIdentification of all CF patients with triangulation of multiple data sources to detect false negative cases.Main outcome measuresFalse negative cases.ResultsOver 20 years, 673 952 infants were screened and 239 were diagnosed with CF (incidence 1:2819). The sensitivity of the programme was 0.958, and positive predictive value was 0.476. Eighteen potential false negatives were identified, of whom eight were excluded: four screened outside Wales, two had complex comorbidities, no identified cystic fibrosis transmembrane conductance regulator (CFTR) variants on extended analysis and thus not considered to have CF and two were diagnosed after their 16th birthday. Of the 10 false negatives, 9 had a low DBS IRT and at least one common CFTR variant and thus should have received a sweat test under the programme. DBS cards were available for inspection for five of the nine false negative cases—all were classified as small/insufficient or poor quality.ConclusionsThe majority of false negatives had a low bloodspot IRT, and this was associated with poor quality DBS. The optimal means to improve the sensitivity of our CF NBS programme would be to improve DBS sample quality.

Objectives A sample with a blood clot may produce an inaccurate outcome in coagulation testing, which may mislead clinicians into making improper clinical decisions. Currently, there is no efficient method to automatically detect clots. This study demonstrates the feasibility of utilizing machine learning (ML) to identify clotted specimens. Methods The results of coagulation testing with 192 clotted samples and 2,889 no-clot-detected (NCD) samples were retrospectively retrieved from a laboratory information system to form the training dataset and testing dataset. Standard and momentum backpropagation neural networks (BPNNs) were trained and validated using the training dataset with a five-fold cross-validation method. The predictive performances of the models were then assessed based on the testing dataset. Results Our results demonstrated that there were intrinsic distinctions between the clotted and NCD specimens regarding differences in the testing results and the separation of the groups (clotted and NCD) in the t-SNE analysis. The standard and momentum BPNNs could identify the sample status (clotted and NCD) with areas under the ROC curves of 0.966 (95% CI, 0.958–0.974) and 0.971 (95% CI, 0.9641–0.9784), respectively. Conclusions Here, we have described the application of ML algorithms in identifying the sample status based on the results of coagulation testing. This approach provides a proof-of-concept application of ML algorithms to evaluate the sample quality, and it has the potential to facilitate clinical laboratory automation.

Biobanking refers to the systematic collection, storage, and distribution of pre- or post-mortem biological samples derived from volunteer donors. The demand for high-quality human specimens is clearly demonstrated by the number of newly emerging biobanking facilities and large international collaborative networks. Several animal species are relevant today in medical research; therefore, similar initiatives in comparative physiology could be fruitful. Dogs, in particular, are gaining increasing attention in translational research on complex phenomena, like aging, cancer, and neurodegenerative diseases. Therefore, biobanks gathering and storing dog biological materials together with related data could play a vital role in translational and veterinary research projects. To achieve these aims, a canine biobank should meet the same standards in sample quality and data management as human biobanks and should rely on well-designed collaborative networks between different professionals and dog owners. While efforts to create dog biobanks could face similar financial and technical challenges as their human counterparts, they can widen the spectrum of successful collaborative initiatives towards a better picture of dogs’ physiology, disease, evolution, and translational potential. In this review, we provide an overview about the current state of dog biobanking and introduce the “Canine Brain and Tissue Bank” (CBTB)—a new, large-scale collaborative endeavor in the field.

Recently, sampling methods have been successfully applied to enhance the sample quality of Generative Adversarial Networks (GANs). However, in practice, they typically have poor sample efficiency because of the independent proposal sampling from the generator. In this work, we propose REP-GAN, a novel sampling method that allows general dependent proposals by REParameterizing the Markov chains into the latent space of the generator. Theoretically, we show that our reparameterized proposal admits a closed-form Metropolis-Hastings acceptance ratio. Empirically, extensive experiments on synthetic and real datasets demonstrate that our REP-GAN largely improves the sample efficiency and obtains better sample quality simultaneously.

The stability of lipids and other metabolites in human body fluids ranges from very stable over several days to very unstable within minutes after sample collection. Since the high-resolution analytics of metabolomics and lipidomics approaches comprise all these compounds, the handling of body fluid samples, and thus the pre-analytical phase, is of utmost importance to obtain valid profiling data. This phase consists of two parts, sample collection in the hospital (“bedside”) and sample processing in the laboratory (“bench”). For sample quality, the apparently simple steps in the hospital are much more critical than the “bench” side handling, where (bio)analytical chemists focus on highly standardized processing for high-resolution analysis under well-controlled conditions. This review discusses the most critical pre-analytical steps for sample quality from patient preparation; collection of body fluids (blood, urine, cerebrospinal fluid) to sample handling, transport, and storage in freezers; and subsequent thawing using current literature, as well as own investigations and practical experiences in the hospital. Furthermore, it provides guidance for (bio)analytical chemists to detect and prevent potential pre-analytical pitfalls at the “bedside,” and how to assess the quality of already collected body fluid samples. A knowledge base is provided allowing one to decide whether or not the sample quality is acceptable for its intended use in distinct profiling approaches and to select the most suitable samples for high-resolution metabolomics and lipidomics investigations. Graphical abstract

Presence of metastasis translates unequivocally into worse prognosis for our patients. Translational medicine has been our response to offer patients better therapeutic options. This chapter aims to provide an overview for clinicians to send the necessary metastatic tissue on the right path toward the laboratory bench, overcoming biases and possible data misinterpretations derived from poor sample quality.

A high quality end-expiratory breath sample is required for a reliable GI breath test result. Oxygen (O2) concentration in the breath sample can be used as a quality marker. This study investigated the characteristics of oxygen concentration in breath sample and the issues with using a correction factor in real-time breath test. The results indicated 95.4% of 564 patients were able to achieve an O2 concentration below 14% in their end-expiratory breath. A further 293 samples were studied and revealed that the distribution of O2 concentration was between 16.5% and 9.5%. Applying a correction factor to predict the end-expiratory H2 and CH4 values led to an average error of −36.4% and −12.8% respectively. The correction factor algorithm based on limiting O2 at 14% would have resulted in false negative result for 50% of the positive cases. This study has also indicated the continuous O2 measurement is essential to ensure breath sample quality by preventing secondary breathing during real-time breath collection.

Background In small animal medicine, ultrasound-guided fine-needle lymph node sampling plays a pivotal role in the diagnostic investigation of a range of pathologies including the staging of neoplastic disease. Traditionally fine needle aspiration cytology (FNAC) has been employed to produce samples, but fine needle non-aspiration cytology (FNNAC) has been suggested to generate superior sample quality and diagnosticity. Methods In a randomised control trial, 104 canine and feline lymph nodes were each sampled by both techniques. The cytological samples were then submitted to pathologists who were blinded to the technique used to generate each sample. They determined if the sample was diagnostic or non-diagnostic and graded the sample in terms of the degree of cellularity, cellular preservation and haemodilution. Results It was found that lymph node samples obtained using the FNAC technique were more likely to be diagnostic (p = 0.043) than samples obtained using the FNNAC technique. In addition, FNAC samples had significantly higher cellularity than FNNAC counterparts (P = 0.043). No significant difference in cell preservation or haemodilution was found between samples from the FNAC and FNNAC groups. Conclusion In this study, FNAC was superior to non-aspiration cytology for the sampling of canine and feline lymph nodes as it generated a higher number of diagnostic samples with greater cellularity.

Recent studies witnessed that deep CNNs significantly improve the performance of face detection in the wild. However, detecting faces with small scales, large pose variations, and occlusions is still challenging. In this paper, to detect challenging faces, we present a boosted faster RCNN (F-RCN) version with an enhanced region proposal network (eRPN) module and newly introduced hard example mining strategies. The eRPN module generates better proposals than traditional RPN by integarating semantic information into the input feature maps. Two hard example mining strategies, i.e., online hard proposal mining (OHPM) and offline hard image mining (OHIM), are proposed to train better classifier. The OHPM can effectively sample quality and diversity of hard positive examples, which is important for detecting hard faces like tiny faces. The OHIM further boosts the classifier to detect hard faces via an auxiliary fine-tuning on a small proportion of training data. Experimental results on the FDDB, WIDER FACE, Pascal Faces, and AFW datasets show that our method significantly improves the faster-RCNN face detector and achieves performance superior or comparable to the state-of-the-art face detectors.

With the ongoing COVID-19 (Coronavirus Disease 2019) pandemic, caused by the novel coronavirus SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), there is a need for sensitive, specific, and affordable diagnostic tests to identify infected individuals, not all of whom are symptomatic. The most sensitive test involves the detection of viral RNA using RT-qPCR (quantitative reverse transcription PCR), with many commercial kits now available for this purpose. However, these are expensive, and supply of such kits in sufficient numbers cannot always be guaranteed. We therefore developed a multiplex assay using well-established SARS-CoV-2 targets alongside a human cellular control (RPP30) and a viral spike-in control (Phocine Herpes Virus 1 [PhHV-1]), which monitor sample quality and nucleic acid extraction efficiency, respectively. Here, we establish that this test performs as well as widely used commercial assays, but at substantially reduced cost. Furthermore, we demonstrate >1,000-fold variability in material routinely collected by combined nose and throat swabbing and establish a statistically significant correlation between the detected level of human and SARS-CoV-2 nucleic acids. The inclusion of the human control probe in our assay therefore provides a quantitative measure of sample quality that could help reduce false-negative rates. We demonstrate the feasibility of establishing a robust RT-qPCR assay at approximately 10% of the cost of equivalent commercial assays, which could benefit low-resource environments and make high-volume testing affordable., Better and cheaper SARS-CoV-2 qRT-PCR tests are needed, but it is known that human and viral nucleic acid quantities in swab samples correlate, showing the importance of a human quality control probe. This study describes multiplex assays that perform equally well to commercial tests, but at ~10% of the cost.

False-negative severe acute respiratory syndrome coronavirus 2 test results can negatively impact the clinical and public health response to coronavirus disease 2019 (COVID-19). We used droplet digital polymerase chain reaction (ddPCR) to demonstrate that human DNA levels, a stable molecular marker of sampling quality, were significantly lower in samples from 40 confirmed or suspected COVID-19 cases that yielded negative diagnostic test results (ie, suspected false-negative test results) compared with a representative pool of 87 specimens submitted for COVID-19 testing. Our results support suboptimal biological sampling as a contributor to false-negative COVID-19 test results and underscore the importance of proper training and technique in the collection of nasopharyngeal specimens.

Intraosseous (IO) devices are used for vascular access in settings where venous access is initially unobtainable, such as prehospital trauma care or cardiac arrest. While IO devices are effective for infusion of blood, fluids, and medications, there is limited data on the analytical equivalence of specimens taken out of IO devices and peripheral venous blood. Despite this, IO device manufacturers and clinical resources state that IO specimens can be submitted for laboratory analysis. As reported in this case, IO specimens may be drawn and labeled as ‘peripheral blood’. IO specimens are not always caught by automated sample quality testing and may proceed through analysis without any warning signal to the laboratory. There are potential regulatory risks in accepting IO samples for analysis without validation. IO infusion is a valuable technique for vascular access in critically ill patients, but clinical laboratories will need to determine their own policies for identifying and handling IO specimens.

Background Serum is commonly used for clinical chemistry testing but many conditions can affect the clotting process, leading to poor sample quality and impaired workflow. With serum gel tubes, we found a high proportion of sample probe aspiration errors on our Beckman AU5800 analyzers. We decided to implement the BD Barricor™ plasma tubes, and we validated an off-specification centrifugation scheme and verified that results obtained for 65 chemistry and immunochemistry tests were comparable to those obtained in serum gel tubes. Finally, we evaluated the impact of this new tube on sample error rate and laboratory turnaround time. Methods To validate centrifugation settings, 50 paired samples were collected in Barricor tubes and centrifuged at 1912 × g for 10 min or 5 min (off-specification). To compare serum gel tubes with Barricor plasma tubes, 119 paired samples were collected from volunteers and results were analyzed using weighed Deming regression. Finally, the proportion of aspiration errors and laboratory TAT for potassium were measured before and after implementing Barricor tubes. Results Barricor tubes showed clinically acceptable equivalence to serum gel tubes for the studied analytes, and the off-specification centrifugation scheme did not affect the results. Implementing Barricor tubes improved the laboratory workflow by decreasing the aspiration error rates (2.01% to 0.77%, P Conclusion Use of Barricor tubes instead of serum gel tubes leads to better sample quality, shorter more reproducible laboratory TAT, and decreases costs associated with error management.

In the application of deep learning algorithms based on large-scale data sets, some problems, such as insufficient samples, imperfect sample quality, and high cost of building large data sets, emerge and restrict algorithm performance. In this paper, a target recognition framework and learning mode based on parallel images are proposed, and the application verification is carried out by taking the insulator target recognition in the transmission line as an example. This paper uses the artificial image generation technology to establish the insulator data set NCEPU-J, and then proposes the target recognition framework PITR and three learning modes, namely OriPITR, TrsPITR, and MutiPITR. The insulator strings with the piece number of 7, 11 and 14 are verified, and the recognition accuracy is significantly improved. The results show that the target recognition framework and learning mode based on parallel images are feasible and effective.

© Dominik Lermen et al., 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are cited., Human biomonitoring (HBM) depends on high-quality human samples to identify status and trends in exposure and ensure comparability of results. In this context, much effort has been put into the development of standardized processes and quality assurance for sampling and chemical analysis, while effects of sample storage and shipment on sample quality have been less thoroughly addressed. To characterize the currently applied storage and shipment procedures within the consortium of the European Human Biomonitoring Initiative (HBM4EU), which aims at harmonization of HBM in Europe, a requirement analysis based on data from an online survey was conducted. In addition, the online survey was addressed to professionals in clinical biobanking represented by members of the European, Middle Eastern and African Society for Biopreservation and Biobanking (ESBB) to identify the current state-of-the-art in terms of sample storage and shipment. Results of this survey conducted in these two networks were compared to detect processes with potential for optimization and harmonization. In general, many similarities exist in sample storage and shipment procedures applied by ESBB members and HBM4EU partners and many requirements for ensuring sample quality are already met also by HBM4EU partners. Nevertheless, a need for improvement was identified for individual steps in sample storage, shipment, and related data management with potential impact on sample and data quality for HBM purposes. Based on these findings, recommendations for crucial first steps to further strengthen sample quality, and thus foster advancement in HBM on a pan-European level are given., This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 733032 HBM4EU.

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works, Quality estimation is a key study in biometrics, allowing optimisation and improvement of existing authentication systems by giving a prediction on the model performance based on the goodness of the sample or the user. In this paper, we propose a quality metric for swipe gestures on mobile devices. We evaluate a quality score for subjects on enrollment and for swipe samples, we estimate three quality groups and explore the correlation between our quality score and a state-of-art biometric authentication classifier performance. A further analysis based on the combined effects of subject quality and the amount of enrollment samples is conducted, investigating if increasing or decreasing enrollment size affects the authentication performance for different quality groups. Results are shown for three different public datasets, highlighting how higher quality users score a lower equal error rate compared to medium and low quality users, while high quality samples get a higher similarity score from the classifier, Thanks to support by projects: PRIMA (H2020-MSCAITN-2019-860315), TRESPASS-ETN (H2020-MSCAITN-2019-860813), BIBECA (RTI2018-101248-B-I00 MINECO/FEDER), and BioGuard (Ayudas Fundacion BBVA a Equipos de Investigacion Científica 2017)

The presence of interfering substances like free hemoglobin, bilirubin or lipids compromises sample quality and potentially affects laboratory analysis and test results. Recently, the use of serum indices for objectively assessing sample quality has become commonplace and many preanalytical platforms, as well as clinical chemistry and coagulation analyzers, are now equipped with this analytical feature. Nevertheless, some important drawbacks remain in this practice, mainly pertaining the measurement procedure, the approach for reporting interference data, the definition of objective thresholds of interference after which test results may be biased, and the lack of harmonized practices for describing how interference cut-offs have been identified. Therefore, this document aims to discuss these important caveats and propose some reliable solutions that may be adopted by manufacturers for increasing worldwide harmonization of serum indices.

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Immunohistochemistry (IHC) assessment of the estrogen receptor (ER) status has low consensus among pathologists. Quantitative transcriptional signatures are highly sensitive to the measurement variation and sample quality. Here, we developed a robust qualitative signature, based on within-sample relative expression orderings (REOs) of genes, to reclassify ER status. From the gene pairs with significantly stable REOs in ER+ samples and reversely stable REOs in ER− samples, concordantly identified from four datasets, we extracted a signature to determine a sample’s ER status through evaluating whether the REOs within the sample significantly match with the ER+ REOs or the ER− REOs. A signature with 112 gene pairs was extracted. It was validated through evaluating whether the reclassified ER+ or ER− patients could benefit from tamoxifen therapy or neoadjuvant chemotherapy. In three datasets for IHC-determined ER+ patients treated with post-operative tamoxifen therapy, 11.6–12.4% patients were reclassified as ER− by the signature and, as expected, they had significantly worse recurrence-free survival than the ER+ patients confirmed by the signature. On another hand, in two datasets for IHC-determined ER− patients treated with neoadjuvant chemotherapy, 18.8 and 7.8% patients were reclassified as ER+ and, as expected, their pathological complete response rate was significantly lower than that of the other ER− patients confirmed by the signature. The REO-based signature can provide an objective assessment of ER status of breast cancer patients and effectively reduce misjudgments of ER status by IHC.

The Loopamp™MTBC detection kit (TB-LAMP) was designed to replace the sputum smear microscopy for the diagnosis of pulmonary tuberculosis. We evaluated its performance at a peripheral laboratory in Vietnam. The sensitivity of TB-LAMP was 45.5% (28.1%-63.6%), which was equal to 3-sputum smear microscopy but lower than that of Xpert MTB/RIF (87.8% [71.8%-96.6%]). In patients with culture-confirmed TB, sensitivity was 80% (51.9%-95.7%) in smear-positive and 16.7% (3.5%-41.4%) in smear-negative cases. The specificity of TB-LAMP was 95.1% (92.7%-96.9%), which was lower than that of smear microscopy (98.9% [97.5%-99.7%]) and Xpert MTB/RIF (99.3% [98.1%-99.9%]) (P

Forensic Toxicology is the study and practice of the application of toxicology to the purposes of the law. The relevance of any finding is determined, in the first instance, by the nature and integrity of the specimen(s) submitted for analysis. This means that there are several specific challenges to select and collect specimens for ante-mortem and post-mortem toxicology investigation. Post-mortem specimens may be numerous and can endow some special difficulties compared to clinical specimens, namely those resulting from autolytic and putrefactive changes. Storage stability is also an important issue to be considered during the pre-analytic phase, since its consideration should facilitate the assessment of sample quality and the analytical result obtained from that sample. The knowledge on degradation mechanisms and methods to increase storage stability may enable the forensic toxicologist to circumvent possible difficulties. Therefore, advantages and limitations of specimen preservation procedures are thoroughly discussed in this review. Presently, harmonized protocols for sampling in suspected intoxications would have obvious utility. In the present review an overview is given on sampling procedures for routinely collected specimens as well as on alternative specimens that may provide additional information on the route and timing of exposure to a specific xenobiotic. Last, but not least, how to forward a correct report and how to interpret a toxicological results is provided. This comprehensive review article is intented as a significant help for forensic toxicologists to accomplish their frequently overwhelming mission.

Cytocentrifuge slide (“cytospin”) is a simple and rapid technique that is mainly used in the cytology laboratory. We have routinely used the technique in flow cytometry (FCM) laboratory at Montefiore Medical Center for more than 15 years. Our aim is to illustrate the contribution of cytospin in direct cellular morphologic visualization in FCM immunophenotyping, in result interpretation, and additionally as a quality control tool. Four thousand two hundred forty-eight cases sent to our FCM Laboratory in the past 21 months were studied retrospectively. The clinical history, cytospins, immunophenotyping panels, FCM contour plots, final FCM reports, and pathology reports were reviewed. Morphologic examination of the cytospin is a cost-effective tool for sample quality screening. Of the 4248 immunophenotyping cases, 359 (8.4%) cases were canceled, according to laboratory protocol based on cytospin review. Morphologic analysis of the cytospin provides extra information that guides both selection of the FCM immunophenotype panel and gating the cells of interest. Additionally, morphologic analysis of cytospin can yield early diagnosis when cohesive benign or malignant non-hematologic cells are present or even infectious organisms such as parasites are identified. Finally, the cytospin is a convenient tool for morphology-phenotype correlation. Cytospin is cost-effective and provides important morphologic information that facilitates FCM immunophenotyping panel selection and result interpretation.

Aim: We compared different methodologies to evaluate Ki67 in neuroendocrine neoplasia (NEN). Patients & methods: ki67 was evaluated using three methods in 70 NEN cases: manual-count, eyeballed estimate made by three pathologists and ImmunoRatio-software. Manual-count was the standard method and agreement with it was evaluated through intraclass correlation (ICC). Results: Agreement between manual-count and eyeballed estimate had ICC: 0.887–0.929. Eyeballed estimate by three pathologists produced upgradation in 5.7–32.9% and downgradation in 5.7% of NEN cases. Agreement for ImmunoRatio-count had ICC: 0.989. Immunoratio produced upgradation in 17.1% and downgradation in 8.5% cases. Agreement between all methods was higher at low-Ki67. Cellularity, immune-cell infiltration, staining and sample quality did not affect agreement. Conclusion: Eyeballed estimate and ImmunoRatio showed good accuracy, especially at low-Ki67.

An approach for assessing the effects of sample quality is presented. Soil samples were taken using a 50 mm Swedish STII piston sampler and the Norwegian University of Science and Technology (NTNU) mini-block sampler from a soft clay test site. Differences in laboratory test results are identified for several stress paths, assisted by simulations made using an advanced constitutive model. Hitherto such comparisons have focused on differences in basic engineering properties such as strength and stiffness. The effect of choosing alternative model parameters from piston and block samples is demonstrated through the analysis of the long-term settlement of an embankment. The simulations show that substantially larger settlements and lateral displacements are predicted using parameters obtained from the piston samples. Furthermore, the magnitude of the differences is larger than expected. This demonstrates that for this application, relatively small differences in the assessed sample quality, using traditional laboratory data interpretation methods, are amplified when applied to a prototype boundary value problem. It is suggested that a little more care in sampling and testing can result in large cost savings as a result of the more reliable model parameters that can be extracted, particularly when the improved sampling is combined with the use of an advanced constitutive model.

The investigation of vascular biometric traits has become increasingly popular during the last years. This book chapter provides a comprehensive discussion of the respective state of the art, covering hand-oriented techniques (finger vein, palm vein, (dorsal) hand vein and wrist vein recognition) as well as eye-oriented techniques (retina and sclera recognition). We discuss commercial sensors and systems, major algorithmic approaches in the recognition toolchain, available datasets, public competitions and open-source software, template protection schemes, presentation attack(s) (detection), sample quality assessment, mobile acquisition and acquisition on the move, and finally eventual disease impact on recognition and template privacy issues.

Plasma and serum are rich sources of information regarding an individual's health state, and protein tests inform medical decision making. Despite major investments, few new biomarkers have reached the clinic. Mass spectrometry (MS)-based proteomics now allows highly specific and quantitative readout of the plasma proteome. Here, we employ Plasma Proteome Profiling to define quality marker panels to assess plasma samples and the likelihood that suggested biomarkers are instead artifacts related to sample handling and processing. We acquire deep reference proteomes of erythrocytes, platelets, plasma, and whole blood of 20 individuals (> 6,000 proteins), and compare serum and plasma proteomes. Based on spike-in experiments, we determine sample quality-associated proteins, many of which have been reported as biomarker candidates as revealed by a comprehensive literature survey. We provide sample preparation guidelines and an online resource ( www.plasmaproteomeprofiling.org) to assess overall sample-related bias in clinical studies and to prevent costly miss-assignment of biomarker candidates.

Metabolomics provides measurement of numerous metabolites in human samples, which can be a useful tool in clinical research. Blood and urine are regarded as preferred subjects of study because of their minimally invasive collection and simple preprocessing methods. Adhering to standard operating procedures is an essential factor in ensuring excellent sample quality and reliable results. In this review, we summarize the studies about the impacts of various preprocessing factors on metabolomics studies involving clinical blood and urine samples in order to provide guidance for sample collection and preprocessing. Clinical information is important for sample grouping and data analysis which deserves attention before sample collection. Plasma and serum as well as urine samples are appropriate for metabolomics analysis. Collection tubes, hemolysis, delay at room temperature, and freeze–thaw cycles may affect metabolic profiles of blood samples. Collection time, time between sampling and examination, contamination, normalization strategies, and storage conditions may alter analysis results of urine samples. Taking these collection and preprocessing factors into account, this review provides suggestions of standard sample preprocessing.

Smaller needles gauge (G) may reduce pain and improve vein access in difficult venous access (DVA). Aims were to compare the performances of two Beckton-Dickinson (BD) Vacutainer® Blood Collection Sets in a pediatric setting: UltraTouch™ Push Button (UT-PBBCS) and Safety-Lok™ (SLBCS).Questionnaires were used to record venipuncture features, patient pain perception and phlebotomist difficulty score. Specimen quality was evaluated by hemolysis index (HI) on Roche Cobas® 6000.SLBCS (21/23G) or UT-PBBCS (23/25G) were used in 211 (50.2%) and 209 (49.8%) subjects. Pain was associated with age (p 0.0001) and was lower in UT-PBBCS (p = 0.0339). Difficulty was significantly associated with age (p = 0.002), not with needle gauge (p = 0.461) and it was 0.42 points lower in UT-PBBCS. HI was not associated with blood collection set (p = 0.385).UT-PBBCS globally performed better than SLBCS and could enhance phlebotomy and patient comfort, without affecting sample quality in pediatric patients with DVA.