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1 V) that correspond to those obtained by full TNM staging.
2 ved patient subcategorization beyond current TNM staging.
3 tegories of greater utility than traditional TNM staging.
4 T scan, PSA doubling time, Gleason score and TNM staging.
5  TTP regardless of histopathologic grade and TNM staging.
6  scan, PSA doubling time, Gleason score, and TNM staging.
7  cancer patients and a better model fit than TNM staging.
8 stication accuracy of tumor-node-metastasis (TNM) staging.
9 more likely to have stage 2 disease based on TNM staging (62 of 183 patients [33.9%] vs 47 of 275 pat
10 atient level, it provides more accuracy than TNM staging alone and could help in the delivery of tail
11             After adjusting for age, gender, TNM staging and grading, cox regression analysis showed
12 ides important information beyond pathologic TNM staging and primary tumor regression grading.
13 he esophagus (EAC) is based on post-surgical TNM staging and valid biomarkers are still not implement
14 ndependent of clinical covariates, including TNM staging, and was associated with a poor therapeutic
15 ding to (68)Ga-FAPI PET/CT was compared with TNM staging based on ceCT and changes in oncologic manag
16 ts underwent contrast-enhanced CT (ceCT) for TNM staging before (68)Ga-FAPI PET/CT imaging.
17  72% of patients, whereas the concordance of TNM staging between (68)Ga-PSMA PET and diagnostic CT wa
18  Personal View addresses whether the current TNM staging classification accurately represents a disti
19 ancer (AJCC) staging manual has introduced a TNM staging classification for jejunal-ileal (midgut) ne
20 l (seventh edition) has introduced its first TNM staging classification for pancreatic neuroendocrine
21                     The ninth edition of the TNM staging classification of pleural mesothelioma is an
22   The NET societies have recently proposed a TNM staging classification.
23  Study Group modified Tumor-Node-Metastases (TNM) Staging Classification.
24                                              TNM staging criteria and margin status confers prognosti
25 with T1 lesions under both the 1987 and 1997 TNM staging criteria, no statistically significant diffe
26 vasion should be considered for inclusion in TNM staging criteria.
27 orized by both the 1987 and the revised 1997 TNM staging criteria.
28 to the American Joint Commission for Cancer (TNM) staging criteria, margin status, and molecular subt
29 oth the 1997 and 1987 tumor-node-metastasis (TNM) staging criteria.
30 ng 35 countries with available breast cancer TNM staging data, all 20 that achieved sustained mean re
31                                    Consensus TNM staging (derived from CT, endobronchial ultrasound-g
32  histologic grade, incidental diagnosis, and TNM staging (European Neuroendocrine Tumors Society [ENE
33          Here, we present BB-TEN: Big Bird - TNM staging Extracted from Notes, a generalizable method
34 stasis-blood (TNMB) classification surpasses TNM staging for prognostic prediction at the decision po
35 tive (18)F-FDG-avid lesions and provided the TNM staging for the 5 patients referred for initial stag
36  The eighth edition tumor, node, metastasis (TNM) staging for head and neck cutaneous squamous cell c
37 wide range of survival estimates even within TNM staging groups, with quintiles of prediction within
38                                              TNM staging has made a major contribution to the clinica
39 12/1,003) on PET/MRI, leading to a change in TNM staging in 0.5% (5/1,003).
40 (68)Ga-FAPI PET/CT results led to changes in TNM staging in 10 of 19 patients.
41 d in 5.3% (53/1,003), leading to a change in TNM staging in 2.9% (29/1,003) due to PET/MRI.
42 es to refine clinical tumor-node-metastasis (TNM) staging in lung adenocarcinoma, ctDNA dynamics duri
43  (12/1003) by PET/MRI leading to a change in TNM-staging in 0.5% (5/1003).
44 ed in 5.3% (53/1003), leading to a change in TNM-staging in 2.9% (29/1003) due to PET/MRI.
45 ay now be applied to many other patients and TNM staging is an evolving narrative.
46                                              TNM staging is an inadequate prognostic indicator of ind
47                                        Lower TNM staging, longer interval to metastasis, and single m
48 Ps and progression factors of HCC, including TNM staging, metastasis, and cancer embolus; Overall, th
49           Inclusion of C stage into the AJCC TNM staging of colon cancer revealed significant differe
50  be a useful additional component in routine TNM staging of CRC.
51                                              TNM-staging of colorectal carcinomas (CRC) relies on the
52  (P = .006) and in tumors with more advanced TNM staging (P < .001).
53 torical nondescript CUP diagnosis allows for TNM staging, precision site-specific therapy (SST), prog
54  of pleural mesothelioma is an update in the TNM staging, refining the tumor descriptors with the fir
55        In thymic epithelial tumors, clinical TNM staging relies predominantly on cross-sectional imag
56             However, there is debate whether TNM staging should be the only factor in considering if
57       The American Joint Committee on Cancer TNM staging showed limited prognostic usefulness, only b
58 cation was influenced by the key elements of TNM staging: simplicity, clinical usefulness, efficacy f
59 We evaluated associations with tumor status, TNM staging, survival prognosis, and response to adjuvan
60                       Compared with the 2002 TNM staging system (C-index, 0.60), most models only mar
61 incorporated TNP was superior to the current TNM staging system (P< .001).
62 is view provides a mechanistic basis for the TNM staging system and is the rationale for surgical res
63                             The current AJCC TNM staging system classified 941 of these patients (28.
64 e current (seventh and eighth editions) AJCC TNM staging system correlates with survival for patients
65                             The current AJCC TNM staging system could be improved with the new TNM gr
66  be considered for the future edition of the TNM staging system for esophageal cancer.
67    T category in the 7th edition of the AJCC TNM staging system for eyelid carcinoma correlates with
68 he American Joint Committee on Cancer (AJCC) TNM staging system for medullary thyroid cancer (MTC).
69                             The current AJCC TNM staging system for MTC appears to be less than optim
70 nion for International Cancer Control (UICC) TNM staging system for OPC was developed for HPV-unrelat
71                                          The TNM staging system for primary OAL is useful for precise
72  yet to be a study using the most up-to-date TNM staging system for this rare but aggressive tumor.
73 R-stage schema that outperformed the current TNM staging system in disease-free and overall survival
74 r individual discrimination than the current TNM staging system in numerous patient tumor models.
75 ew classification outperformed the currently TNM staging system in risk stratification and may facili
76                                          The TNM staging system is currently the most extensively use
77 ow after preoperative chemoradiotherapy, the TNM staging system may not provide an accurate assessmen
78 (CEA) levels (C stage) into the conventional TNM staging system of colon cancer.
79 n patients with stage T1aN0 NSCLC (using the TNM staging system seventh edition) and demonstrated the
80                                            A TNM staging system that incorporated TNP reduced early-s
81 revealed that the prognostic accuracy of the TNM staging system that incorporated TNP was superior to
82 tional OPC N categories in the new AJCC/UICC TNM staging system that is currently being developed.
83                          The seventh edition TNM staging system was compared with models supplementin
84 against the current UICC/AJCC eighth edition TNM staging system was evaluated for hazard consistency,
85                 Increasing T category of the TNM staging system was predictive of DSS (P = .04) in pr
86                  These models along with the TNM staging system were validated using 1,647 patients w
87                             According to the TNM staging system, 43 of 57 (75.4%) had T2 tumors.
88                         With the traditional TNM staging system, there was no difference in survival
89 iminating survival than was the current AJCC TNM staging system.
90 re more distinct than under the current AJCC TNM staging system.
91  to survival than does the current AJCC/UICC TNM staging system.
92 nagement but are not included in the current TNM staging system.
93 RSS), and American Joint Committee on Cancer TNM staging system.
94  the 1988 American Joint Committee on Cancer TNM staging system.
95  Control (AJCC/UICC) tumour-node-metastasis (TNM) staging system provides the current guidelines for
96 e authors sought to evaluate whether the new TNM staging systems proposed by the American Joint Commi
97 n included in the new tumor-node-metastasis (TNM) staging systems developed for the American Joint Co
98 s are hampered by the inaccuracy of clinical TNM staging, the variability of indications for neoadjuv
99 tions in molecular pathways could supplement TNM staging to more accurately predict clinical outcome
100 oved the ability of Tumor, Node, Metastasis (TNM) staging to predict postrecurrence survival; MI was
101 sis (eg, histologic diagnosis via biopsy and TNM staging) to adequate, timely, and appropriate treatm
102 min after injection, and in 9.2% a change in TNM staging was found.
103 ystem was compared with models supplementing TNM staging with additional demographic and tumor variab

 
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