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1 metastasis, extrahepatic extension, or major vascular invasion).
2 of grade, tumor type, nodal metastases, and vascular invasion.
3 helium of the developing CNS coincident with vascular invasion.
4 nvasive carcinoma, positive lymph nodes, and vascular invasion.
5 vasive component, lymph node metastases, and vascular invasion.
6 ulti-detector row CT most accurately display vascular invasion.
7 face of endothelial cells, thereby promoting vascular invasion.
8 hypertrophic chondrocyte layer and impaired vascular invasion.
9 apoptosis/mitosis ratio and uncommonly show vascular invasion.
10 , carcinoma in situ, and gastric cancer with vascular invasion.
11 e of hypertrophic chondrocytes with delay of vascular invasion.
12 r tumor stage, tumor grade, and suspicion of vascular invasion.
13 was associated with T4 stage, N2 stage, and vascular invasion.
14 ascular invasion and 24.4% for patients with vascular invasion.
15 s associated with undifferentiated tumor and vascular invasion.
16 rrelates with tumor capsule breakthrough and vascular invasion.
17 in cancer cells that modulates motility and vascular invasion.
18 tumor cells to suppress HCC development and vascular invasion.
19 targeting of TET1, thereby leading to tumor vascular invasion.
20 ge, pT stage, lymphatic invasion, and venous vascular invasion.
21 multiple tumors, lymph node metastasis, and vascular invasion.
22 tial resection margin; and E, for Extramural vascular invasion.
23 effect of DM on clinical outcomes including vascular invasion.
24 pha-fetoprotein more than 100 ng/mL, and any vascular invasion.
25 mor thickness, more spitzoid tumors and more vascular invasion.
26 Spitzoid histology, radial growth phase, and vascular invasion.
27 clude that Notch signaling is crucial for TB vascular invasion.
28 , positive resection margin, perineural, and vascular invasion.
29 2), lymph node metastasis (2.09; 1.80-2.43), vascular invasion (1.87; 1.44-2.42), and poor tumor diff
32 ifferentiation (44% vs. 26%, P < 0.001); (4) vascular invasion (54% vs. 33%, P < 0.001); (5) perineur
34 0 [95% CI, 3.34-8.11]; P < .001), extramural vascular invasion (76.9% vs 28.4%; relative risk, 2.71 [
36 nctioning and nodal status, tumor grade, and vascular invasion accurately predict survival and recurr
38 rrence were albumin less than 3.5 gm/dL, any vascular invasion, age more than 60 years, tumor size la
39 e technique was unable to detect capsular or vascular invasion, although the specificity and positive
40 ssion from hyperplasia to capsular invasion, vascular invasion, anaplasia and metastasis to the lung,
41 ogression of hyperplasia, capsular invasion, vascular invasion, anaplasia, and eventually, distant or
42 bability of RD was 1.3% for patients without vascular invasion and 24.4% for patients with vascular i
44 n hepatocellular carcinoma (HCC) tumors with vascular invasion and can promote HCC cell invasiveness
45 Norrin production leads to premature retinal vascular invasion and delayed Norrin production leads to
48 bone formation, Lbh may negatively regulate vascular invasion and formation of the early ossificatio
53 ficantly associated with lymphatic invasion, vascular invasion and perineural invasion, while CAP reg
54 ubdistribution regression, T-stage, N-stage, vascular invasion and positive margins were all predicti
55 nimal studies, aggressive biologic behavior (vascular invasion and recurrence) correlates significant
56 Runx2(-/-)/PTHrP(-/-) mice exhibited limited vascular invasion and some chondrocytes expressing colla
58 ons required to inhibit MMPs in vitro and in vascular invasion and tumor proliferation in vivo models
60 ber of nodules, and presence of intrahepatic vascular invasion), and presence of extrahepatic vascula
61 , (2) promotes angiogenesis, (3) facilitates vascular invasion, and (4) preserves the structural inte
62 mance status (PS) >/=1, 41% with macroscopic vascular invasion, and 38% with extrahepatic tumor sprea
64 rs exceeding the Milan criteria, macroscopic vascular invasion, and AFP score>2 were independent pred
65 rade, tumor size, lymph node involvement and vascular invasion, and biomarkers (eg, estrogen receptor
66 oorer residual liver function, more frequent vascular invasion, and diabetes mellitus were also obser
68 radiologist who evaluated presence of tumor, vascular invasion, and flow artifacts in the superior me
69 ted in loss of columnar structure, premature vascular invasion, and formation of ectopic hypertrophic
71 des no prognostic information, tumor number, vascular invasion, and LN metastasis were associated wit
73 ickness; and presence of biliary dilatation, vascular invasion, and lymphadenopathy were assessed.
74 he prevalence of nodal metastases, lymphatic vascular invasion, and multifocal neoplasia in patients
78 ed implants readily underwent calcification, vascular invasion, and subsequent endochondral ossificat
80 ade, tumour size, oestrogen-receptor status, vascular invasion, and treatment assignment (hazard rati
82 bar tumor distribution, tumor size, grade of vascular invasion, artificial neural network models pred
84 es of the primary tumor (i.e., stage, grade, vascular invasion) assist in identifying patients who wo
86 iology score; cancer stage; differentiation; vascular invasion; blood transfusion; and postoperative
88 ted with malignant features such as areas of vascular invasion by hepatocytes and heterogeneous hyper
90 rence screen was used to identify drivers of vascular invasion by panning small hairpin RNA (shRNA) l
92 istopathologic findings of perineural and/or vascular invasion by tumor were correlated in all patien
93 cm grade 2 invasive cancer without lymphatic vascular invasion; clean margins were obtained, and both
94 or size larger than 7 cm and the presence of vascular invasion correlated significantly with recurren
97 pathologic stage, nuclear grade, microscopic vascular invasion, DNA content, nuclear morphometry, and
98 gest that activated MMP2 does not facilitate vascular invasion during angiogenesis unless it forms a
100 metastatic potential, tumor grade, and lymph-vascular invasion during breast cancer progression.
101 atients with N1 disease, multiple tumors and vascular invasion, either alone or together, failed to d
104 L on multivariate analysis were male gender, vascular invasion, extent of hepatectomy, and operative
106 splant, tumor diameter, tumor pathology, and vascular invasion, female sex was associated with a 25%
107 splant, tumor diameter, tumor pathology, and vascular invasion, female sex was associated with a 25%
109 n rate increased to 73% (p < 0.001), whereas vascular invasion gradually decreased to 20% in 2012-201
110 tioning tumors with no nodal involvement and vascular invasion had a negligible risk of recurrence at
111 ria, CT findings predictive of perineural or vascular invasion had a sensitivity of 88%; specificity,
113 to recurrence beyond MC included microscopic vascular invasion (hazard ratio [HR] 2.38 [range, 1.10-7
115 R]: 1.51), multifocal tumors (HR: 1.51), and vascular invasion (HR: 1.44) remained independent predic
120 ansgene restored chondrocyte hypertrophy and vascular invasion in the bones of the mutant mice but di
122 est a relationship between higher BMI, tumor vascular invasion, increased recurrence, and worsened ov
124 y mechanical loading significantly inhibited vascular invasion into the defect by 66% and reduced bon
125 ascular plexus, the outer plexus, and deeper vascular invasion into the outer and subretinal spaces w
128 ng-standing systems biology conundrum of how vascular invasion is coordinated with tissue development
130 he appearance of new extrahepatic lesions or vascular invasion lesions was associated with a worse ov
131 left kidney diagnosed as clear cell RCC with vascular invasion, liver, lung and brain metastasis.
133 ford modified Gleason scale), cancer volume, vascular invasion, lymph node involvement, seminal vesic
134 f tumor nodules, size of the largest nodule, vascular invasion, metastasis, serum albumin, and alpha-
135 re able to be stratified by tumor number and vascular invasion (N0; P < .001), among patients with N1
136 survival (DSS) of tumor size, mitotic rate, vascular invasion, necrosis, metastases, and nuclear gra
137 enhancement/size, development/progression of vascular invasion, new hepatic lesions) progression or (
138 race, tumor grade, stage at diagnosis, lymph/vascular invasion, number of primary tumors, tumor size,
139 ce was also observed in a zebrafish model of vascular invasion of cancer cells after injection into t
140 ed by a noninvasive imaging system to detect vascular invasion of dormant tumors and have used them t
141 rsors, labeled in the perichondrium prior to vascular invasion of the cartilage, give rise to trabecu
142 cruitment and migration are required for the vascular invasion of the cartilaginous anlage and the os
150 y Group performance score (ECOG PS; 0 or 1), vascular invasion or extrahepatic spread (yes or no), an
153 and who had solitary HCC up to 3 cm without vascular invasion or metastasis was retrospectively iden
154 ular invasion), and presence of extrahepatic vascular invasion or metastasis were included, and rando
155 5), more: lymphovascular invasion (OR 1.76), vascular invasion (OR 1.92), perineural invasion (OR 1.8
157 oid cancer (containing follicular histology, vascular invasion, or extracapsular extension) showed no
162 Independent predictors of death were major vascular invasion (P <.001), microvascular invasion (P =
166 ent (P < .0001), tumor type (P < .0001), and vascular invasion (P = .0077) all showed statistically s
167 , tumor size greater than 5 cm (p = 0.0221), vascular invasion (p = 0.0005), positive nodes (p = 0.00
168 < 0.001), poor differentiation (P = 0.049), vascular invasion (P = 0.002), and outside Milan (P = 0.
169 PPAR gamma rearrangement more frequently had vascular invasion (P = 0.01), areas of solid/nested tumo
170 alpha-fetoprotein >200 ng/mL (P = 0.04), and vascular invasion (P = 0.017) as significant predictors
171 se RFS, grade 4 HCC's (P < 0.0001, HR: 5.6), vascular invasion (P = 0.019, HR: 2.0), size >3 cm (P <
172 per 50 high-power fields (P =.001, P =.002), vascular invasion (P =.02, P =.04), size < or = 2 cm (P
174 t allocation is based on tumor number, size, vascular invasion, performance status, functional liver
175 r grade, nodal metastases, resection margin, vascular invasion, perineural invasion, p53 or Smad4 lev
178 howed significant correlation with increased vascular invasion rate and microvessel density as well a
179 Ki-67, S-phase fraction, mitotic index, and vascular invasion showed a significant association with
180 Ki-67, S-phase fraction, mitotic index, and vascular invasion showed a significant association with
182 wing for tumour size, lymph-node status, and vascular invasion, the effect of micrometastases decreas
184 ied model of stratification that is based on vascular invasion, tumor number, and tumor size and inco
185 lations of CREB1 with tumor stage and grade, vascular invasion (V1) and lymphovascular invasion (L1)
186 ctal dilatation, local invasion, adenopathy, vascular invasion, vascular encasement, metastases, and
187 ients with HCC who had pathologically proven vascular invasion (VI) because of the associated increas
190 fferentiation (PD), lymphatic invasion (LI), vascular invasion (VI), and perineural invasion (PN), wi
194 the appearance of new extrahepatic lesion or vascular invasion was associated with a poor prognosis.
195 head of the pancreas, metastatic disease or vascular invasion was discovered frequently by laparosco
200 grade predicted the presence of microscopic vascular invasion (well, 15.7%; moderate; 31.9%, poor; 5
201 CT criteria for diagnosis of perineural or vascular invasion were aggressive tumor margins, invasio
202 ctioning tumors, tumor grade, N1 status, and vascular invasion were all independent predictors of rec
203 an alpha-fetoprotein level >2000 ng/ml, and vascular invasion were also determinants of poor outcome
205 tive lymph node findings, and intraprostatic vascular invasion were independently associated with pro
206 or satellites close to the primary tumor and vascular invasion were observed, indicating early invasi
207 itive lymph node findings and intraprostatic vascular invasion were the only other variables that rem
208 e I NSGCC, including high-risk patients with vascular invasion, were observed in a surveillance progr
209 r size greater than 5 cm and the presence of vascular invasion (which confirm several, single-center
210 ole in growth plate maturation by regulating vascular invasion, which is crucial for replacement of t
213 rentiation, low apoptosis/mitosis ratio, and vascular invasion) while still small, similar to flat ca
214 d no nodal involvement, metastases, or major vascular invasion) who underwent surgical resection (not