Background Innate limitations of morphological diagnosis of T/NK-cell neoplasms mean that they can be misdiagnosed or missed, especially when mixed with a variety of benign and reactive conditions. The aim of this study was to investigate the application value of multiparameter flow cytometry immunophenotyping (****) in screening and diagnosing T/NK-cell neoplasms with cytology specimens. Material and methods The clinical and pathological characteristics of 1028 newly diagnosed cases from Fudan University Shanghai Cancer Center who provided a cytology specimen between June 2010 and January 2016 with correlated histology diagnosis and clinical confirmation were retrospectively reviewed. **** was used for screening, diagnosis and typing. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in diagnosis of T/NK-cell neoplasms were calculated. Results There were 606 males and 422 females in 1028cases, with a mean age of 47.5 years (range 9-86 years). Specimens used foensitivity and specificity in the screening and diagnosis of T/NK-cell neoplasms and may be useful as an alternative diagnosis method in cytology specimens.Introduction The need to continually optimise CT protocols is essential to ensure the lowest possible radiation dose for the clinical task and individual patient. The aim of this study was to explore the effect of reducing effective mAs on nodule detection and radiation dose across six scanners. https://www.selleckchem.com/products/s-gsk1349572.html Methods An anthropomorphic chest phantom was scanned using a low-dose chest CT protocol, with the effective mAs lowered to the lowest permissible level. All other acquisition parameters remained consistent. Images were evaluated by five radiologists to determine their sensitivity in detecting six simulated nodules within the phantom. Image noise was calculated together with DLP. Results The lowest possible mAs achievable ranged from 7 to 19 mAs. The two highest mAs setting (17 mAs + 19 mAs) had kV modulation enabled (100 kV instead of 120 kV) which consequently resulted in a higher nodule detection rate. Overall nodule detection averaged at 91% (range 80-97%). Out of a possible 180 nodules, 16 were missed, with 12 of those 16 being the same nodule. Noise was double for the Somatom Sensation scanner when compared to the others; however, this scanner did not have iterative reconstruction and it was installed over 10 years ago. There was a strong correlation between image noise and scanner age. Conclusion This study highlighted that nodules can be detected at very low effective mAs ( less then 20 mAs) but only when other acquisition parameters are optimised i.e. iterative reconstruction and kV modulation. Nodule detection rates were affected by nodule location and image noise. Implications for practice This study consolidates previous findings on how to successfully optimise low-dose chest CT. It also highlights the difficulty with standardisation owing to factors such as scanner age and different vendor attributes.Objectives Intensive care unit patients undergo several nursing care procedures (NCP) every day. These procedures involve a risk for adverse events (AE). Yet, their prevalence, intensity, and predisposing risk factors remain poorly established. The main objective of the study was to measure the incidence and severity of NCP related AE. Design This prospective observational multicentre study was conducted in 9 ICUs. All NCP were recorded for four consecutive weeks. For each NCP, the following were collected patients' baseline characteristics, type of NCP, characteristics of the NCP, AE and therapeutic responses. Results 5849 NCP occurred in 340 patients. Among the 340 patients included, 292 (85.9%) were affected by at least one AE, and 141 (41.5%) by an SAE during a NCP. Thirty % of NCP were associated with at least one AE hemodynamic AE in 17.1%, respiratory AE in 13.6%, agitation and pain (3.7% and 3.3%). Eight invasive devices were accidentally removed. Severe Adverse Events (SAE) occurred in 5.5% of NCP. The main risk factor associated with SAE was pain/agitation at the beginning of the NCP. Conclusion AE are frequent during NCP in ICU. We identified several risk factors, some of them preventable, that could be considered for the development of recommendations for the nursing care of critically ill patients. Trial registration ClinicalTrials.gov NCT02881645.A methodology for evolving fuzzy Kalman filter identification, is proposed in this paper. The mathematical formulation contemplates the following aspects for initial estimation, an offline GK clustering algorithm and an offline fuzzy version of OKID algorithm are used to estimate antecedent and consequent parameters, respectively. From each new sample of input-output experimental data from dynamical system, the evolving eTS algorithm and an evolving fuzzy version of OKID algorithm are used to estimate the antecedent and consequent parameters of the evolving fuzzy Kalman filter, respectively. Computational and experimental results considering the estimation of states and outputs of a nonlinear dynamic system and a 2DoF helicopter, respectively, show the efficiency and applicability of the proposed methodology.This paper investigates the problem of stabilizing an n-dimensional nonlinear system whose feedback packets are transmitted via the digital network. In the presence of the bounded processing delay and network delay, the sampling time instant of a feedback packet is not the same as its receiving time instant. The larger difference between these time instants, the higher bit rate is required to stabilize the concerned system. Moreover, not only these delays, but also feedback dropouts and process noise will deteriorate the system performance. Thus we propose a model-based event-triggered control method to stabilize the system and save the occupied network bandwidth. Besides the transmission bits inside the feedback packets, their sampling time instants also convey the state information. The proposed event-triggered method can make full use of the feedback packets, especially their receiving time instant information. Compared with the periodic sampling method, our method performs better and requires lower stabilizing bit rates while the desired input-to-state stability can still be ensured.
Background Innate limitations of morphological diagnosis of T/NK-cell neoplasms mean that they can be misdiagnosed or missed, especially when mixed with a variety of benign and reactive conditions. The aim of this study was to investigate the application value of multiparameter flow cytometry immunophenotyping (MFCI) in screening and diagnosing T/NK-cell neoplasms with cytology specimens. Material and methods The clinical and pathological characteristics of 1028 newly diagnosed cases from Fudan University Shanghai Cancer Center who provided a cytology specimen between June 2010 and January 2016 with correlated histology diagnosis and clinical confirmation were retrospectively reviewed. MFCI was used for screening, diagnosis and typing. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in diagnosis of T/NK-cell neoplasms were calculated. Results There were 606 males and 422 females in 1028cases, with a mean age of 47.5 years (range 9-86 years). Specimens used foensitivity and specificity in the screening and diagnosis of T/NK-cell neoplasms and may be useful as an alternative diagnosis method in cytology specimens.Introduction The need to continually optimise CT protocols is essential to ensure the lowest possible radiation dose for the clinical task and individual patient. The aim of this study was to explore the effect of reducing effective mAs on nodule detection and radiation dose across six scanners. https://www.selleckchem.com/products/s-gsk1349572.html Methods An anthropomorphic chest phantom was scanned using a low-dose chest CT protocol, with the effective mAs lowered to the lowest permissible level. All other acquisition parameters remained consistent. Images were evaluated by five radiologists to determine their sensitivity in detecting six simulated nodules within the phantom. Image noise was calculated together with DLP. Results The lowest possible mAs achievable ranged from 7 to 19 mAs. The two highest mAs setting (17 mAs + 19 mAs) had kV modulation enabled (100 kV instead of 120 kV) which consequently resulted in a higher nodule detection rate. Overall nodule detection averaged at 91% (range 80-97%). Out of a possible 180 nodules, 16 were missed, with 12 of those 16 being the same nodule. Noise was double for the Somatom Sensation scanner when compared to the others; however, this scanner did not have iterative reconstruction and it was installed over 10 years ago. There was a strong correlation between image noise and scanner age. Conclusion This study highlighted that nodules can be detected at very low effective mAs ( less then 20 mAs) but only when other acquisition parameters are optimised i.e. iterative reconstruction and kV modulation. Nodule detection rates were affected by nodule location and image noise. Implications for practice This study consolidates previous findings on how to successfully optimise low-dose chest CT. It also highlights the difficulty with standardisation owing to factors such as scanner age and different vendor attributes.Objectives Intensive care unit patients undergo several nursing care procedures (NCP) every day. These procedures involve a risk for adverse events (AE). Yet, their prevalence, intensity, and predisposing risk factors remain poorly established. The main objective of the study was to measure the incidence and severity of NCP related AE. Design This prospective observational multicentre study was conducted in 9 ICUs. All NCP were recorded for four consecutive weeks. For each NCP, the following were collected patients' baseline characteristics, type of NCP, characteristics of the NCP, AE and therapeutic responses. Results 5849 NCP occurred in 340 patients. Among the 340 patients included, 292 (85.9%) were affected by at least one AE, and 141 (41.5%) by an SAE during a NCP. Thirty % of NCP were associated with at least one AE hemodynamic AE in 17.1%, respiratory AE in 13.6%, agitation and pain (3.7% and 3.3%). Eight invasive devices were accidentally removed. Severe Adverse Events (SAE) occurred in 5.5% of NCP. The main risk factor associated with SAE was pain/agitation at the beginning of the NCP. Conclusion AE are frequent during NCP in ICU. We identified several risk factors, some of them preventable, that could be considered for the development of recommendations for the nursing care of critically ill patients. Trial registration ClinicalTrials.gov NCT02881645.A methodology for evolving fuzzy Kalman filter identification, is proposed in this paper. The mathematical formulation contemplates the following aspects for initial estimation, an offline GK clustering algorithm and an offline fuzzy version of OKID algorithm are used to estimate antecedent and consequent parameters, respectively. From each new sample of input-output experimental data from dynamical system, the evolving eTS algorithm and an evolving fuzzy version of OKID algorithm are used to estimate the antecedent and consequent parameters of the evolving fuzzy Kalman filter, respectively. Computational and experimental results considering the estimation of states and outputs of a nonlinear dynamic system and a 2DoF helicopter, respectively, show the efficiency and applicability of the proposed methodology.This paper investigates the problem of stabilizing an n-dimensional nonlinear system whose feedback packets are transmitted via the digital network. In the presence of the bounded processing delay and network delay, the sampling time instant of a feedback packet is not the same as its receiving time instant. The larger difference between these time instants, the higher bit rate is required to stabilize the concerned system. Moreover, not only these delays, but also feedback dropouts and process noise will deteriorate the system performance. Thus we propose a model-based event-triggered control method to stabilize the system and save the occupied network bandwidth. Besides the transmission bits inside the feedback packets, their sampling time instants also convey the state information. The proposed event-triggered method can make full use of the feedback packets, especially their receiving time instant information. Compared with the periodic sampling method, our method performs better and requires lower stabilizing bit rates while the desired input-to-state stability can still be ensured.
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