Artificial intelligence-based whole slide scoring of nuclear breast cancer IHC markers Ki67, ER, and PR matches performance of manual clinical scoring

被引：0
|
作者：
Kapadia, Monesh
Khojasteh, Mehrnoush
Kouzova, Margarita
Jones, Carol
Xu, Xiao-Meng
Olson, Matthew T.
Gladden, Sarah
Sapanara, Nancy
Singh, Shalini
Chen, Chun Chen
Bai, Isaac
Ranger-Moore, Jim
Inge, Landon J.
Kurkure, Uday
Bhattacharya, Ipshita
Zhao, Margaret
Zuiderveld, Karel
Chintakindi, Chandana
Lopez, Bryan
Guetter, Christoph
机构：
来源：
CANCER RESEARCH | 2022年 / 82卷 / 04期
关键词：
D O I：
10.1158/1538-7445.SABCS21-P1-02-17
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
P1-02-17
引用
收藏
页数：2
相关论文
共 33 条
  • [1] Utility of artificial intelligence (AI) in Ki67 scoring of a breast cancer (BC) patient population
    Pichon, X.
    Gaspo, R.
    Kumar, D.
    Rekinen, S.
    Iglesias, S.
    Burrer, R.
    Finan, A.
    ANNALS OF ONCOLOGY, 2024, 35 : S285 - S285
  • [2] Manual vs Digital Scoring of Ki67 in Breast Cancer; A Validation Study
    Siddiqi, Ahsan
    Geiger, Xochiquetzal
    Majewicz, Tracy
    Nassar, Aziza
    LABORATORY INVESTIGATION, 2020, 100 (SUPPL 1) : 1489 - 1490
  • [3] Manual vs Digital Scoring of Ki67 in Breast Cancer; A Validation Study
    Siddiqi, Ahsan
    Geiger, Xochiquetzal
    Majewicz, Tracy
    Nassar, Aziza
    MODERN PATHOLOGY, 2020, 33 (SUPPL 2) : 1489 - 1490
  • [4] Artificial Intelligence-Based Mitosis Scoring in Breast Cancer: Clinical Application
    Ibrahim, Asmaa
    Jahanifar, Mostafa
    Wahab, Noorul
    Toss, Michael S.
    Makhlouf, Shorouk
    Atallah, Nehal
    Lashen, Ayat G.
    Katayama, Ayaka
    Graham, Simon
    Bilal, Mohsin
    Bhalerao, Abhir
    Raza, Shan E. Ahmed
    Snead, David
    Minhas, Fayyaz
    Rajpoot, Nasir
    Rakha, Emad
    MODERN PATHOLOGY, 2024, 37 (03)
  • [5] Comparison of manual and digital histopathology scoring for Ki67 in breast cancer core biopsies
    Alataki, Anastasia
    Zabaglo, Lila
    Tovey, Holly
    Dodson, Andrew
    Dowsett, Mitch
    BREAST CANCER RESEARCH AND TREATMENT, 2020, 180 (02) : 545 - 546
  • [6] Concordance between manual pathologist scoring and an Artificial Intelligence Deep Learning-based algorithm for Ki-67 immunohistochemical scoring in breast cancer
    Badr, N. M.
    Ramsing, T. W.
    Overgaard, A.
    Thagaard, J.
    Omanovic, D.
    Miligy, I.
    Hunter, K.
    Kearns, D.
    Shaaban, A.
    EUROPEAN JOURNAL OF CANCER, 2022, 175 : S59 - S59
  • [7] Independent Clinical Validation of the Automated Ki67 Scoring Guideline from the International Ki67 in Breast Cancer Working Group
    Boyaci, Ceren
    Sun, Wenwen
    Robertson, Stephanie
    Acs, Balazs
    Hartman, Johan
    BIOMOLECULES, 2021, 11 (11)
  • [8] Development & Validation of an AI-supported Workflow for Clinical Scoring of HER2, ER, PR & Ki67 Immunohistochemistry in Breast Cancer Tissue
    Lodge, Meredith
    Ironside, Alastair
    Graham, Ashley
    Polonia, Antonio
    Reinhard, Stefan
    Solass, Wiebke
    Zlobec, Inti
    Caie, Peter
    CANCER RESEARCH, 2024, 84 (09)
  • [9] High Performance of Artificial Intelligence-Based Model for Scoring Breast Arterial Calcification on Mammograms
    Nerlekar, Nitesh
    Goel, Vinay
    Yeong, Chee
    Spear, Ella
    Cameron, William
    Mantey, Richard
    Belrose, Nora
    Nicholls, Stephen
    CIRCULATION, 2022, 146
  • [10] Validation of Algorithmic Ki-67 Scoring in Breast Cancer Using Four Different Whole Slide Image Formats
    Solmaz-Yilmaz, Gizem
    Gumuskaya, Berrak
    Tokat, Fatma
    Soylemez-Akkurt, Tuce
    Dirilenoglu, Fikret
    Koy, Yazgi
    Demir, Derya
    Gurbuz, Begum Calim
    Uzel, Burak
    Keles, G. Evren
    LABORATORY INVESTIGATION, 2024, 104 (03) : S1623 - S1623
1234