Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1097/PAS.0b013e31827fcc18 http://scihub22266oqcxt.onion/10.1097/PAS.0b013e31827fcc18 C3654011!3654011!23598967     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 284.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 284.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 284.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 318.4 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 318.4 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Surg+Pathol 2013 ; 37 (6): 853-9 Nephropedia Template TP {{tp|p=23598967|t=2013. COMPARISON OF WHO CLASSIFICATIONS (2004, 2010), THE HOCHWALD GRADING SYSTEM, AJCC AND ENETS STAGING SYSTEMS IN PREDICTING PROGNOSIS IN LOCOREGIONAL WELL-DIFFERENTIATED PANCREATIC NEUROENDOCRINE TUMORS |pdf=|usr=}}{{23598967}} gab.com Text COMPARISON OF WHO CLASSIFICATIONS (2004, 2010), THE HOCHWALD GRADING SYSTEM, AJCC AND ENETS STAGING SYSTEMS IN PREDICTING PROGNOSIS IN LOCOREGIONAL WELL-DIFFERENTIATED PANCREATIC NEUROENDOCRINE TUMORS JO: Am J Surg Pathol http://www.kidney.de/pget.php?&tw=1&pmid=23598967 #FOAvip It is difficult to predict prognosis in patients with locoregional well-differentiated (WD) pancreatic neuroendocrine tumors (PanNET). We aimed to examine commonly used stratification systems (WHO 2004 and 2010 classifications, AJCC and ENETS staging, and the Hochwald grading system) for their power in predicting recurrence-free survival (RFS) in these patients. Seventy-five such patients (mean age 56 years, mean follow-up 79 months) that underwent resection with sufficient tissue material and follow up data were studied. RFS was correlated with variable clinicopathologic features and stratified with above-mentioned systems. Concordance-index (CI) was then calculated. With the WHO 2004 classification, 16, 35, and 24 PanNETs were classified as benign behavior, uncertain behavior, and well-differentiated endocrine carcinoma, respectively. By the WHO 2010 classification, 26, 41, and 8 tumors were grade 1, 2, and 3, respectively. Using the Hochwald system, 47 were low grade and 28 were intermediate grade. The AJCC staging information was complete for 62 patients (13 had lymph node status as Nx) and included: stage IA (19/62), IB (10/62), IIA (10/62), and IIB (23/62). The ENETS staging information was stage I (16/62), IIa (8/62), IIb (14/62), IIIa (0/62), and IIIb (24/62). The average Ki-67-proliferation index (PI) was 8.1%. Factors that predicted RFS included tumor size, nodal metastasis, vascular invasion, perineural invasion, necrosis, mitosis, and Ki-67 PI (all p<0.01). The CI for each system was: 0.6361 for WHO 2004, 0.6735 for WHO 2010, 0.6495 for AJCC staging, 0.6642 for ENETS staging, and 0.6851 for Hochwald grading system. When these systems were analyzed in conjunction with various additional important pathologic features, combination of Hochwald grading system and Ki-67 PI achieved the highest CI (0.7946). Therefore, while all these systems predict RFS well in locoregional WD PanNETs, the Hochwald grading systems achieves the highest predictive ability. Further predictive power can be achieved by combining the Hochwald grading system and Ki-67 PI. Twit Text FOAVip COMPARISON OF WHO CLASSIFICATIONS (2004, 2010), THE HOCHWALD GRADING SYSTEM, AJCC AND ENETS STAGING SYSTEMS IN PREDICTING PROGNOSIS IN LOCOREGIONAL WELL-DIFFERENTIATED PANCREATIC NEUROENDOCRINE TUMORS ????Am J Surg Pathol http://www.kidney.de/pget.php?&tw=1&pmid=23598967 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=23598967 #FOAvip English Wikipedia <ref>{{Cite pmid|23598967}}</ref> COMPARISON OF WHO CLASSIFICATIONS (2004, 2010), THE HOCHWALD GRADING SYSTEM, AJCC AND ENETS STAGING SYSTEMS IN PREDICTING PROGNOSIS IN LOCOREGIONAL WELL-DIFFERENTIATED PANCREATIC NEUROENDOCRINE TUMORS #MMPMID23598967 Liu TC; Hamilton N; Hawkins W; Gao F; Cao D Am J Surg Pathol 2013[Jun]; 37 (6): 853-9 PMID23598967show ga It is difficult to predict prognosis in patients with locoregional well-differentiated (WD) pancreatic neuroendocrine tumors (PanNET). We aimed to examine commonly used stratification systems (WHO 2004 and 2010 classifications, AJCC and ENETS staging, and the Hochwald grading system) for their power in predicting recurrence-free survival (RFS) in these patients. Seventy-five such patients (mean age 56 years, mean follow-up 79 months) that underwent resection with sufficient tissue material and follow up data were studied. RFS was correlated with variable clinicopathologic features and stratified with above-mentioned systems. Concordance-index (CI) was then calculated. With the WHO 2004 classification, 16, 35, and 24 PanNETs were classified as benign behavior, uncertain behavior, and well-differentiated endocrine carcinoma, respectively. By the WHO 2010 classification, 26, 41, and 8 tumors were grade 1, 2, and 3, respectively. Using the Hochwald system, 47 were low grade and 28 were intermediate grade. The AJCC staging information was complete for 62 patients (13 had lymph node status as Nx) and included: stage IA (19/62), IB (10/62), IIA (10/62), and IIB (23/62). The ENETS staging information was stage I (16/62), IIa (8/62), IIb (14/62), IIIa (0/62), and IIIb (24/62). The average Ki-67-proliferation index (PI) was 8.1%. Factors that predicted RFS included tumor size, nodal metastasis, vascular invasion, perineural invasion, necrosis, mitosis, and Ki-67 PI (all p<0.01). The CI for each system was: 0.6361 for WHO 2004, 0.6735 for WHO 2010, 0.6495 for AJCC staging, 0.6642 for ENETS staging, and 0.6851 for Hochwald grading system. When these systems were analyzed in conjunction with various additional important pathologic features, combination of Hochwald grading system and Ki-67 PI achieved the highest CI (0.7946). Therefore, while all these systems predict RFS well in locoregional WD PanNETs, the Hochwald grading systems achieves the highest predictive ability. Further predictive power can be achieved by combining the Hochwald grading system and Ki-67 PI. äCOMPARISON OF WHO CLASSIFICATIONS (2004, 2010), THE HOCHWALD GRADING S(epmc).pdf DeepDyve Pubget Overpricing