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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
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
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
25 with T1 lesions under both the 1987 and 1997 TNM staging criteria, no statistically significant diffe
28 to the American Joint Commission for Cancer (TNM) staging criteria, margin status, and molecular subt
30 ng 35 countries with available breast cancer TNM staging data, all 20 that achieved sustained mean re
32 histologic grade, incidental diagnosis, and TNM staging (European Neuroendocrine Tumors Society [ENE
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
42 es to refine clinical tumor-node-metastasis (TNM) staging in lung adenocarcinoma, ctDNA dynamics duri
48 Ps and progression factors of HCC, including TNM staging, metastasis, and cancer embolus; Overall, th
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
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
62 is view provides a mechanistic basis for the TNM staging system and is the rationale for surgical res
64 e current (seventh and eighth editions) AJCC TNM staging system correlates with survival for patients
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).
70 nion for International Cancer Control (UICC) TNM staging system for OPC was developed for HPV-unrelat
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
77 ow after preoperative chemoradiotherapy, the TNM staging system may not provide an accurate assessmen
79 n patients with stage T1aN0 NSCLC (using the TNM staging system seventh edition) and demonstrated the
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.
84 against the current UICC/AJCC eighth edition TNM staging system was evaluated for hazard consistency,
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
103 ystem was compared with models supplementing TNM staging with additional demographic and tumor variab