Ontology highlight
ABSTRACT:
SUBMITTER: Acs B
PROVIDER: S-EPMC9514990 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature
Acs Balazs B Leung Samuel C Y SCY Kidwell Kelley M KM Arun Indu I Augulis Renaldas R Badve Sunil S SS Bai Yalai Y Bane Anita L AL Bartlett John M S JMS Bayani Jane J Bigras Gilbert G Blank Annika A Buikema Henk H Chang Martin C MC Dietz Robin L RL Dodson Andrew A Fineberg Susan S Focke Cornelia M CM Gao Dongxia D Gown Allen M AM Gutierrez Carolina C Hartman Johan J Kos Zuzana Z Lænkholm Anne-Vibeke AV Laurinavicius Arvydas A Levenson Richard M RM Mahboubi-Ardakani Rustin R Mastropasqua Mauro G MG Nofech-Mozes Sharon S Osborne C Kent CK Penault-Llorca Frédérique M FM Piper Tammy T Quintayo Mary Anne MA Rau Tilman T TT Reinhard Stefan S Robertson Stephanie S Salgado Roberto R Sugie Tomoharu T van der Vegt Bert B Viale Giuseppe G Zabaglo Lila A LA Hayes Daniel F DF Dowsett Mitch M Nielsen Torsten O TO Rimm David L DL
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 20220621 10
Ki67 has potential clinical importance in breast cancer but has yet to see broad acceptance due to inter-laboratory variability. Here we tested an open source and calibrated automated digital image analysis (DIA) platform to: (i) investigate the comparability of Ki67 measurement across corresponding core biopsy and resection specimen cases, and (ii) assess section to section differences in Ki67 scoring. Two sets of 60 previously stained slides containing 30 core-cut biopsy and 30 corresponding r ...[more]