OBJECTIVES: There is an increasing need for grading with small endoscopic ultrasound-guided fine needle aspiration biopsy (EUS-FNAB) specimens for the proper diagnosis and therapy selection of patients with unresectable pancreatic neuroendocrine tumors (PanNET). However, our understanding of EUS-FNAB specimen grading is limited compared with surgically resected specimens. METHODS: We retrospectively determined Ki-67 labeling index (LI) of 33 matched EUS-FNAB and surgically resected PanNETs with digital image analyzer. Pairwise grades between the matched biopsy and surgically resected PanNET specimens were compared. RESULTS: The mean Ki-67 LI was higher in surgically resected PanNET specimens (5.5%) than in biopsy specimens (3.2%; P = 0.022). There was moderate agreement between the Ki-67 LI grades when individually evaluated matched biopsy and resected specimen pairs were compared (κ value = 0.62; P < 0.0001). However, discordance was noted in 6 cases (18%), and all of them were either grade 2 or 3 in resected PanNETs. CONCLUSIONS: Although Ki-67 LI grading of EUS-FNAB specimens may be concordant with that of matched surgically resected specimens in a large proportion of the PanNET cases, Ki-67 LI grading of EUS-FNAB specimens should be carefully applied in clinical practice because of the possibility of grading underestimation with grade 2 to 3 PanNET cases.
OBJECTIVES: There is an increasing need for grading with small endoscopic ultrasound-guided fine needle aspiration biopsy (EUS-FNAB) specimens for the proper diagnosis and therapy selection of patients with unresectable pancreatic neuroendocrine tumors (PanNET). However, our understanding of EUS-FNAB specimen grading is limited compared with surgically resected specimens. METHODS: We retrospectively determined Ki-67 labeling index (LI) of 33 matched EUS-FNAB and surgically resected PanNETs with digital image analyzer. Pairwise grades between the matched biopsy and surgically resected PanNET specimens were compared. RESULTS: The mean Ki-67 LI was higher in surgically resected PanNET specimens (5.5%) than in biopsy specimens (3.2%; P = 0.022). There was moderate agreement between the Ki-67 LI grades when individually evaluated matched biopsy and resected specimen pairs were compared (κ value = 0.62; P < 0.0001). However, discordance was noted in 6 cases (18%), and all of them were either grade 2 or 3 in resected PanNETs. CONCLUSIONS: Although Ki-67 LI grading of EUS-FNAB specimens may be concordant with that of matched surgically resected specimens in a large proportion of the PanNET cases, Ki-67 LI grading of EUS-FNAB specimens should be carefully applied in clinical practice because of the possibility of grading underestimation with grade 2 to 3 PanNET cases.
Authors: Motoyo Yano; Anup S Shetty; Greg A Williams; Samantha Lancia; Nikolaos A Trikalinos; Chet W Hammill; William G Hawkins; Amber Salter; Deyali Chatterjee Journal: Abdom Radiol (NY) Date: 2022-02-15
Authors: Wenzel M Hackeng; Folkert H M Morsink; Leon M G Moons; Christopher M Heaphy; G Johan A Offerhaus; Koen M A Dreijerink; Lodewijk A A Brosens Journal: Diagn Cytopathol Date: 2019-12-17 Impact factor: 1.582
Authors: Alessandro Marotta; Jordan P Reynolds; Thomas P Plesec; E Rene Rodriguez; Sunguk N Jang; Maria Luisa C Policarpio-Nicolas; Bridgette Springer; Charles D Sturgis Journal: Case Rep Pathol Date: 2019-10-17
Authors: Alexander Appelstrand; Fredrik Bergstedt; Anna-Karin Elf; Henrik Fagman; Per Hedenström Journal: Sci Rep Date: 2022-04-08 Impact factor: 4.379
Authors: Wenzel M Hackeng; Lodewijk A A Brosens; Christopher M Heaphy; Aatur D Singhi; Joo Young Kim; Roderick O'Sullivan; You-Na Sung; Ta-Chiang Liu; Dengfeng Cao; Michelle Heayn; Jacqueline Brosnan-Cashman; Soyeon An; Folkert H M Morsink; Charlotte M Heidsma; Gerlof D Valk; Menno R Vriens; Els Nieveen van Dijkum; G Johan A Offerhaus; Koen M A Dreijerink; Herbert Zeh; Amer H Zureikat; Melissa Hogg; Kenneth Lee; David Geller; J Wallis Marsh; Alessandro Paniccia; Melanie Ongchin; James F Pingpank; Nathan Bahary; Muaz Aijazi; Randall Brand; Jennifer Chennat; Rohit Das; Kenneth E Fasanella; Asif Khalid; Kevin McGrath; Savreet Sarkaria; Harkirat Singh; Adam Slivka; Michael Nalesnik; Xiaoli Han; Marina N Nikiforova; Rita Teresa Lawlor; Andrea Mafficini; Boris Rusev; Vincenzo Corbo; Claudio Luchini; Samantha Bersani; Antonio Pea; Sara Cingarlini; Luca Landoni; Roberto Salvia; Massimo Milione; Michele Milella; Aldo Scarpa; Seung-Mo Hong Journal: Gut Date: 2021-04-13 Impact factor: 23.059