Notice of Retraction: Study on the definition of low grade reservoir and its evaluation method

Author(s):  
Ren Baosheng ◽  
Liu Zhibin ◽  
Liu Haohan
Author(s):  
Michael C. Medlock

This chapter begins with a discussion of the philosophy and then definition of the RITE method. It then delves into the benefits of this method and provides practical notes on running RITE tests effectively. The chapter concludes with an overview of the original case study behind the 2002 article documenting this method.


Cells ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 576
Author(s):  
Maurizio Polano ◽  
Emanuele Fabbiani ◽  
Eva Adreuzzi ◽  
Federica Di Cintio ◽  
Luca Bedon ◽  
...  

Gliomas are the most common primary neoplasm of the central nervous system. A promising frontier in the definition of glioma prognosis and treatment is represented by epigenetics. Furthermore, in this study, we developed a machine learning classification model based on epigenetic data (CpG probes) to separate patients according to their state of immunosuppression. We considered 573 cases of low-grade glioma (LGG) and glioblastoma (GBM) from The Cancer Genome Atlas (TCGA). First, from gene expression data, we derived a novel binary indicator to flag patients with a favorable immune state. Then, based on previous studies, we selected the genes related to the immune state of tumor microenvironment. After, we improved the selection with a data-driven procedure, based on Boruta. Finally, we tuned, trained, and evaluated both random forest and neural network classifiers on the resulting dataset. We found that a multi-layer perceptron network fed by the 338 probes selected by applying both expert choice and Boruta results in the best performance, achieving an out-of-sample accuracy of 82.8%, a Matthews correlation coefficient of 0.657, and an area under the ROC curve of 0.9. Based on the proposed model, we provided a method to stratify glioma patients according to their epigenomic state.


2021 ◽  
Vol 3 (Supplement_1) ◽  
pp. i1-i1
Author(s):  
Gilbert Hangel ◽  
Cornelius Cadrien ◽  
Philipp Lazen ◽  
Sukrit Sharma ◽  
Julia Furtner ◽  
...  

Abstract OBJECTIVES Neurosurgical resection in gliomas depends on the precise preoperative definition of the tumor and its margins to realize a safe maximum resection that translates into a better patient outcome. New metabolic imaging techniques could improve this delineation as well as designate targets for biopsies. We validated the performance of our fast high-resolution whole-brain 3D-magnetic resonance spectroscopic imaging (MRSI) method at 7T in high-grade gliomas (HGGs) as first step to this regard. METHODS We measured 23 patients with HGGs at 7T with MRSI covering the whole cerebrum with 3.4mm isotropic resolution in 15 min. Quantification used a basis-set of 17 neurochemical components. They were evaluated for their reliability/quality and compared to neuroradiologically segmented tumor regions-of-interest (necrosis, contrast-enhanced, non-contrast-enhanced+edema, peritumoral) and histopathology (e.g., grade, IDH-status). RESULTS We found 18/23 measurements to be usable and ten neurochemicals quantified with acceptable quality. The most common denominators were increases of glutamine, glycine, and total choline as well as decreases of N-acetyl-aspartate and total creatine over most tumor regions. Other metabolites like taurine and serine showed mixed behavior. We further found that heterogeneity in the metabolic images often continued into the peritumoral region. While 2-hydroxy-glutarate could not be satisfyingly quantified, we found a tendency for a decrease of glutamate in IDH1-mutant HGGs. DISCUSSION Our findings corresponded well to clinical tumor segmentation but were more heterogeneous and often extended into the peritumoral region. Our results corresponded to previous knowledge, but with previously not feasible resolution. Apart from glycine/glutamine and their role in glioma progression, more research on the connection of glutamate and others to specific mutations is necessary. The addition of low-grade gliomas and statistical ROI analysis in a larger cohort will be the next important steps to define the benefits of our 7T MRSI approach for the definition of spatial metabolic tumor profiles.


2010 ◽  
Vol 118-120 ◽  
pp. 601-605
Author(s):  
Han Ming

Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper develops a new method of parameter estimation, which is named E-Bayesian estimation method. In the case one hyper-parameter, the definition of E-Bayesian estimation of the failure probability is provided, moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation, and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.


2021 ◽  
pp. 21-24
Author(s):  
A. V. Fedorova ◽  
N. V. Kochergina ◽  
A. B. Bludov ◽  
I. V. Boulycheva ◽  
E. A. Sushentsov ◽  
...  

Purpose. Determining the diagnostic value of magnetic resonance imaging in the accurate definition of chondrosarcoma of bone grade at the pre-surgery examination. Material and methods. We analyzed examination data (magnetic resonance imaging with no contrast enhancement) of 70 patients with chondrosarcoma (35 patients with low-grade chondrosarcoma and 35 patients with high grade chondrosarcoma). Informative weighted coefficients were determined separately for ‘learning’ and ‘examination’ samples. On the basis of weighted coefficients, the decisive rule was created for differentiation between low-grade and high-grade chondrosarcoma. Results. The sensitivity of the method was 87.0%, specificity was 95.6%, total correct classification was 91.03%. Conclusion. Magnetic resonance imaging is a highly informative method for prediction of chondrosarcoma grade at the pre-surgery examination.


2011 ◽  
pp. 2830-2841
Author(s):  
Marcella Corsi

This chapter describes our experience in establishing an Observatory for the measurement of the impact of e-government policies onto the efficiency and the effectiveness of the Italian public sector. Such an Observatory is based on evaluation procedures different from those used in other measurement exercises, such as e-Europe or those belonging to the Big Five consultant groups. Moreover, the adopted definition of “e-government” is slightly different than the usual one, as it takes into account not only the mere providing of e-services, but also the whole impact of ICT in terms of transformation of Public Administration — both at a “front-” and at a “back-office” level. What has made us think about a new evaluation method is the desire for a standard, transparent (i.e., one that everyone understands) system, which, while it takes into account the overall level of e-government, the type and number of online services, and their ease of access and quality, also considers policy actions which flavor the spread of electronic government applications, both inside and outside the public sector.


Author(s):  
Mary Wong ◽  
Kevin M Waters ◽  
Maha Guindi ◽  
Brent K Larson

Abstract Objectives Previous studies described “clear cell” hepatocellular carcinoma (HCC), although definitions have varied. New clear cell subtypes of HCC have been proposed, including chromophobe (C-HCC), steatohepatitic (SH-HCC), and steatotic (S-HCC), and this study assessed the utility and clinical-pathologic profile of these subtypes. Methods Current histologic definitions, including 3 separate proposed definitions for SH-HCC, were applied to tumors previously characterized as clear cell HCC. Histologic and clinical variables were analyzed. Results Of 66 HCCs, 51 (77%) were classified using modern definitions, including 34 SH-HCCs, 15 S-HCCs, and 2 C-HCCs. Compared with the most permissive SH-HCC definition, the other 2 definitions designated 30 and 25 SH-HCCs (−12% and −26% cases, respectively). Unsurprisingly, S-HCC and SH-HCC were associated with steatotic clear cells (P < .0001). S-HCC was also more typically early type and low grade (P = .0017). The remaining unclassified clear cell HCCs were associated with flocculent (rather than steatotic or optically clear) cytoplasm (P < .0001) but otherwise demonstrated no discrete clinical-pathologic profile. Conclusions Current definitions could be used to reclassify the majority of “clear cell” HCCs. The subtypes are significantly correlated with a few variables, suggesting valid differences of the subtypes, although additional study is warranted, particularly to standardize the definition of SH-HCC.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 2428-2428
Author(s):  
Andrew J. Dunbar ◽  
Lukasz P. Gondek ◽  
Ramon V. Tiu ◽  
Judith E. Karp ◽  
Xiao Fei P. Wang ◽  
...  

Abstract The WHO classification recognizes chronic myelomonocytic leukemia (CMML) as an overlap syndrome sharing clinical and histomorphologic features with both MDS and MPD. Unlike in CML or classical MPD, which are often characterized by recurrent translocations or activating mutations, only 1/3 of CMML patients harbor lesions (e.g. balanced translocations that include PDGFb as a fusion partner). Also frequent are unbalanced aberrations similar to those seen in classical MDS. Of note is that IPSS assigns prognosis only to a portion of patients with CMML (those with >10% of blasts and/or high WBC counts). Since chromosomal defects have a major impact on the diagnosis and prognosis of myeloid malignancies, it is likely that cytogenetic methods with higher resolution and an ability to detect uniparental disomy (UPD) could explain clinical heterogeneity and point to potential therapeutic targets in CMML. We applied 250K SNP-arrays (SNP-A) to examine karyotype and identify previously cryptic defects in patients with low grade and advanced forms of CMML. SNP-A allows for detection of clones spanning 25–50% of total cell population, and fidelity of LOH calls is >99% as shown by analysis of chromosome (chr.) X in males. Any deletions, duplications, and/or UPD found by SNP-A in 76 controls or those on internet databases were considered copy number variants (CNV) and excluded from analysis. In total, we studied 77 patients with CMML; 42/77 showed abnormal MC, including most often lesions commonly associated with MDS/CMML, such as +8 (N=5) and +19 (N=2). DNA was available for SNP-A karyotyping in 46 patients. Abnormal karyotype was detected in 19/46 patients (40%) by MC compared to 37/46 patients (79%) by SNP-A. Examples of newly detected lesions included microdeletions of chrs. 12 and 7, and various micro-duplications/deletions. Remarkably, we found (perhaps in analogy to UPD9p seen in MPD) a high prevalence of segmental UPD, occurring in 20/47 patients (43%) with significant recurrence on chrs. 4 (N=4), 6 (N=4), and 11 (N=4). 7/20 patients had UPD as a sole or isolated abnormality. In 3 these patients, UPD11q was the sole contributing lesion while in one patient with UPD11, only one additional lesion, a small microdeletion of chr. 3, was found. Of note is that previously we have found also UPD11q in 4/29 patients with MDS/MPD-U. When we analyzed SNP-A results in CMML patients according to blast counts (CMML-1/2) and WBC (myeloproliferative type (MP) vs. myelodysplastic type (MD)), CMML-2 patients showed a higher frequency/more complex lesions, likely acquired in the process of transformation (1.5 vs. 2.2 avg. lesions). In addition to identifying abnormal overlapping/recurrent aberrations, SNP-A karyotyping has a potential clinical utility. When we stratified patients according to SNP-A detected lesions, we found a statistically significant difference between overall survival of patients with normal MC and normal SNP-A vs. those with normal MC but abnormal SNP-A (p=0.03, 40.2 vs. 7.3 months). In summary, SNP-A-based karyotyping complements MC and allows for precise definition of chr. aberrations in patients with CMML, including copy-neutral LOH. UPD is common in CMML and overlapping regions may point to potential causative genes.


Author(s):  
Yang Li ◽  
Qing Chang ◽  
Michael P. Brundage ◽  
Guoxian Xiao ◽  
Stephan Biller

Standalone throughput (SAT) of a single station is one of the most widely used performance indexes in industry due to its clear definition, ease of evaluation and the ability to provide a guidance for continuous improvement in production systems. A complex multistage manufacturing system is typically segmented into several subsystems for efficient local management. It is important to evaluate performance of each subsystem to improve overall system productivity. However, the definition of standalone throughput of a production subsystem is not as clear as for a single station in current literatures or in practice, not to say an effective evaluation method. This paper deals with the standalone throughput of a serial production line segment. The definition and implication of standalone throughput of a line segment is discussed. A data driven method is developed based on online production data and is proved analytically under a practical assumption. In addition, the method is verified through simulation case studies to be an accurate and fast estimation of the standalone throughput of a production line segment.


2014 ◽  
Vol 1037 ◽  
pp. 532-535
Author(s):  
Li Zhen Du ◽  
De Xin Tao ◽  
Lian Qing Yu

According to the definition of integrated supply chain performance, improved method of grey relational evaluation and multi-level dynamic fuzzy comprehensive evaluation method are adopted to comprehensively evaluate the overall performance of the integrated supply chain. Based on these, the Performance Evaluation System (PES) of the integrated supply chain is developed on MATLAB software platform. In the end, the validity and feasibility of the system is validated by an example, and the system can provide a convenient operation tool and scientific, objective decision basis for managers to evaluate the integrated supply chain performance.


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