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1 ffuse LPHD, and six had LP histology without subclassification.
2 ss-validation accuracy when used for genomic subclassification.
3 pes and the therapeutic implications of this subclassification.
4 sult in a valuable second opinion and expert subclassification.
5 t retains as a major category the historical subclassification.
6 dings improves prognostication over the 1997 subclassification.
7 erity but does not function well in stenosis subclassification.
8 nd 12 months, and an absence of tumour-stage subclassifications.
9 o steatotic liver disease (SLD) with various subclassifications.
10 lyses were performed on the 1992 and 1997 T2 subclassifications.
11 or germinal center B-cell-like (GCB)/non-GCB subclassification according to the Hans algorithm.
12 hromosome DSD, 46,XY DSD and 46,XX DSD, with subclassifications according to gonadal determination in
13        The newly added features and disorder subclassifications allow the users to get a comprehensiv
14                                            A subclassification among the various natural products of
15 s would have a significant impact on disease subclassification and clinical care.
16 ed to refine the histological and biological subclassification and determine the indications for use
17 obtained with EBUS-TBNA are suitable for the subclassification and genotyping of NSCLC.
18 cular features, and underpin current disease subclassification and initial subgroup-directed therapie
19 ne expression profiling has proven useful in subclassification and outcome prognostication for human
20 ether these could be used to improve disease subclassification and prognosis predictions.
21     They also serve as biomarkers for tumour subclassification and targets for hormone therapy.
22 ance current genetic approaches for improved subclassification and understanding of the biology of th
23  a layer of complexity distinct from genetic subclassifications and influences disease trajectory and
24  receptor (AChR) antibody concentration, IgG subclassification, and C9 deposition at the neuromuscula
25                  Autoantibody concentration, subclassification, and specificity were analyzed to addr
26  and preclinical models, disease spectra and subclassifications, and clinical trial design and outcom
27                        Complementing genomic subclassification approaches, our functional, cross-spec
28          The 3 primary vascular malformation subclassifications are lymphatic, venous, and arterioven
29  variability in prospective, molecular tumor subclassification associated with this effect.
30 ce-activated cell sorting allowed additional subclassification based on memBc/plasmablast function.
31                                        Tumor subclassification based on oncogenic subtypes may help g
32 as cell states, which are pathophysiological subclassifications based on molecular and morphologic ch
33 suggest leptin receptors may be divided into subclassifications based on pH sensitivity of the specif
34                                          Our subclassification consists of 20 subfamilies with sixtee
35  GATA factor identity and provides a further subclassification criterion for this transcription facto
36 tages I through IV, tumor size category, and subclassification (defined by the presence of ciliary bo
37           These results suggest that 1992 T2 subclassification derived from palpable findings improve
38 of IIMs do not fit well into the typical IIM subclassifications: dermatomyositis, polymyositis and in
39 , in the 2008 WHO classification scheme, FAB subclassification does not provide prognostic informatio
40 ght the applicability of these methods to AD subclassification (endotyping), therapy development, and
41                                              Subclassification found NOS lesions in 44%, Adh in 59%,
42                               This molecular subclassification has implicated several biological proc
43 he method's impact on calculated DPD, PH-LHD subclassification, hemodynamic profiles, and mortality.
44                     Analysis of major cancer subclassifications highlighted varying dependencies upon
45 plications of cirrhosis, on the basis of the subclassification in clinical stages.
46                               We did a final subclassification into oligorecurrence, oligoprogression
47 ura; among capillary ECs, we confirmed their subclassification into recently discovered aerocytes cha
48               Genetic definition has allowed subclassification into translated polyglutamine diseases
49                          Molecularly defined subclassification is associated with phenotypic malignan
50 ns); mild cognitive impairment (MCI) and its subclassifications (MCI consistent with Alzheimer's dise
51 hese tumours, based on accurate histological subclassification, merit wider recognition.
52                                  SLD and its subclassifications [metabolic dysfunction-associated SLD
53                   Prospective testing of the subclassification method corroborated these findings.
54                                          Our subclassification model is available via a web-based ope
55 ation in treatment responses associated with subclassification of achalasia, the use of distal latenc
56                For most of the 20th century, subclassification of acute myeloid leukemia (AML) was ba
57 e gene expression patterns made possible the subclassification of adenocarcinoma into subgroups that
58      The new World Health Organization (WHO) subclassification of AML includes elements of this new p
59 ased on the resistance signature enabled the subclassification of an independent, validation cohort o
60                                              Subclassification of B-POPFs into 3 classes was modeled
61 tive metabolic patterns may lead to improved subclassification of cGVHD.
62 this study we sought to determined whether a subclassification of CN according to vascular pathology
63 s including tumor biopsy, serum markers, and subclassification of current staging systems; and taking
64 iopsies and contributes to the diagnosis and subclassification of cutaneous lymphoid lesions.
65 tion entrance width (FW) and height (FH) and subclassification of defects according to vertical bone
66 therapy, the prognostic significance of this subclassification of DLBCL is unclear.
67  retrospective study, we have shown that the subclassification of DLBCL on the basis of the cell of o
68    These data further validate the RDP-based subclassification of GBS and suggest that lineage-specif
69 e potential of phenotype- and genotype-based subclassification of GDM to deliver the promise of preci
70                                              Subclassification of high labeling score (>/=40) for Cdc
71                                          The subclassification of immunology into innate and adaptive
72 ted as "marginal zone B-cell" lymphomas; the subclassification of large B-cell lymphomas; and the com
73                                              Subclassification of LBBAP capture (European Heart Rhyth
74                                        Among subclassification of liver related deaths, the most comm
75                                        Among subclassification of liver-related deaths, the most comm
76 p has also proposed modifications of the FAB subclassification of MDS.
77  the first major insights into the molecular subclassification of melanoma and the heterogeneous natu
78                                              Subclassification of melanoma by NSLN tumor status shoul
79  large number of patients may lead to better subclassification of not only LGL but also other immune-
80                           We also describe a subclassification of ovarian tumors based on CBX7 and TW
81 ar genetic correlates of a recently proposed subclassification of papillary renal cell carcinoma (PRC
82  clinical relevance of gene expression-based subclassification of pediatric septic shock.
83 unostaining for OX40/CD134 may be helpful in subclassification of peripheral T-cell lymphomas and tha
84 ated with Abeta amyloidosis, suggesting that subclassification of PPA based on language features can
85 alidates the prognostic relevance of the WHO subclassification of SM and provides additional informat
86  been critical adjuncts to the diagnosis and subclassification of SM, and development of clinical-mol
87 e EBS declined by 76.7% as a result of later subclassification of some of those patients into other s
88 work was dependent upon or influenced by the subclassification of some T-cell malignancies as ATL (in
89                                              Subclassification of submucosal invasion showed that 5 o
90  provided evidence that HTLV-1 caused ATL, a subclassification of T-cell malignancies first recognize
91                                              Subclassification of T2MI by cause demonstrated a more f
92 rsity, providing a rationale for a molecular subclassification of the disease.
93 ytometry on 15 specimens, and contributed to subclassification of the lymphomas.
94 posity with low muscle mass, and HA-LM-and a subclassification of the phenotypes into classes I, II,
95 RNA synthetase, which led us to define a new subclassification of these ancient enzymes and to propos
96 diagnosis of CTCL as well as more consistent subclassification of these entities.
97                   Criteria for diagnosis and subclassification of these lesions include peripheral bl
98 e objective immunohistochemical criteria for subclassification of these tumors.
99 n genetic subtypes that allow for pathologic subclassification of tumors into discrete entities with
100 ammation (i-t) meeting TCMR criteria allowed subclassification of v-lesion specimens into 21 i-t-v-le
101 nalyses lend support to the previous overall subclassification of vertebrate genes, but suggest that
102             Critical evaluation of different subclassifications of MSI is provided, along with discus
103                   Within this family are two subclassifications of proteins, based on primary sequenc
104 dependent variations of R values and uncover subclassifications of these species.
105 d be complemented by more detailed molecular subclassifications, optimized clinical phenotypes can co
106  not associated with dementia, MCI, or their subclassifications or with changes in cognitive function
107 our stage, both overall (OR 2.05) and T/N/M/ subclassification (OR 2.56/1.59/1.75), more: lymphovascu
108 nsaminase levels (AST) (p=0.022), Child-Pugh subclassification (p=0.003), and dose administered in th
109 1992 (P =.005) but not the 1997 (P =.100) T2 subclassification predicted outcome after controlling fo
110  measures included incident dementia and its subclassifications (probable Alzheimer's disease, mixed
111                                          Our subclassification provides improved predictive power for
112  as biomarker for differential diagnosis and subclassification rather than predictor of response to t
113                            We also propose a subclassification scheme for miRNAs for assisting future
114 olecular classification and further suggests subclassification schemes.
115 sensitivity, 53.8%; specificity, 89.5%), SSN subclassification (sensitivity, 81.5%; specificity, 88.2
116                                          SSN subclassification showed a significant linear trend with
117                                      The CSC subclassification (simple versus complex) had no influen
118 alues, and negative predictive values of the subclassification strategy were >/= 4% across the three
119 known about iMCD pathogenesis, present a new subclassification system, and propose a model of iMCD pa
120 l next step is to develop a consensus sepsis subclassification system, which includes transcriptomic
121           Superimposed on this framework are subclassifications that are based on topology of the mal
122 e through the tool HiBS (Heterogeneity-Based Subclassification) that allows cancer sample classificat
123                                        After subclassification, the clinical database was mined for p
124 re may have thus far precluded genomic-based subclassification to identify distinct molecularly defin
125 use cryo-electron microscopy, with iterative subclassification to identify intermediates in the assem
126 s are observed maturing from enumeration and subclassification to molecular analyses.
127 dings could have implications for additional subclassification to supplement prediction of the achala
128               In conclusion, we believe that subclassification using these highly relevant parameters
129                              Tumor molecular subclassification was performed retrospectively.
130 th lymphoma as a final diagnosis, histologic subclassification was sufficient to guide treatment with
131 ate analysis of node-negative patients, this subclassification was the only predictor for distant rec
132                  National SLD prevalence and subclassifications were estimated, and among key subgrou
133                                              Subclassifications were significantly associated with in
134 cular complexity of TNBC has led to proposed subclassifications, which will be of great value for the
135 ng methods to generate a novel AML molecular subclassification with biologic correlates corresponding
136 ies, but is limited when applied to detailed subclassification within these families.
137                              Utilizing these subclassifications would likely strengthen future prospe

 
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