AU2013369439B2 - Image analysis for breast cancer prognosis - Google Patents

Image analysis for breast cancer prognosis Download PDF

Info

Publication number
AU2013369439B2
AU2013369439B2 AU2013369439A AU2013369439A AU2013369439B2 AU 2013369439 B2 AU2013369439 B2 AU 2013369439B2 AU 2013369439 A AU2013369439 A AU 2013369439A AU 2013369439 A AU2013369439 A AU 2013369439A AU 2013369439 B2 AU2013369439 B2 AU 2013369439B2
Authority
AU
Australia
Prior art keywords
score
heterogeneity
her2
breast cancer
view
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
AU2013369439A
Other languages
English (en)
Other versions
AU2013369439A1 (en
Inventor
Srinivas Chukka
Anindya SARKAR
Crystal SCHEMP
Olcay SERTEL
Shalini Singh
Raymond Tubbs
Paul Michael WARING
Nikolaus Wick
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Melbourne
Cleveland Clinic Foundation
Ventana Medical Systems Inc
Original Assignee
University of Melbourne
Cleveland Clinic Foundation
Ventana Medical Systems Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Melbourne, Cleveland Clinic Foundation, Ventana Medical Systems Inc filed Critical University of Melbourne
Publication of AU2013369439A1 publication Critical patent/AU2013369439A1/en
Application granted granted Critical
Publication of AU2013369439B2 publication Critical patent/AU2013369439B2/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G01N33/57515—
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00—Detection or diagnosis of diseases
    • G01N2800/52—Predicting or monitoring the response to treatment, e.g. for selection of therapy based on assay results in personalised medicine; Prognosis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00—Detection or diagnosis of diseases
    • G01N2800/54—Determining the risk of relapse

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Biophysics (AREA)
  • Evolutionary Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Immunology (AREA)
  • Molecular Biology (AREA)
  • Hematology (AREA)
  • Urology & Nephrology (AREA)
  • Oncology (AREA)
  • Cell Biology (AREA)
  • Microbiology (AREA)
  • Hospice & Palliative Care (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Biochemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
AU2013369439A 2012-12-28 2013-12-19 Image analysis for breast cancer prognosis Active AU2013369439B2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201261747148P 2012-12-28 2012-12-28
US61/747,148 2012-12-28
PCT/EP2013/077295 WO2014102130A1 (en) 2012-12-28 2013-12-19 Image analysis for breast cancer prognosis

Publications (2)

Publication Number Publication Date
AU2013369439A1 AU2013369439A1 (en) 2015-05-28
AU2013369439B2 true AU2013369439B2 (en) 2019-01-17

Family

ID=49917058

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2013369439A Active AU2013369439B2 (en) 2012-12-28 2013-12-19 Image analysis for breast cancer prognosis

Country Status (8)

Country Link
US (2) US11211167B2 (enExample)
EP (1) EP2939026B1 (enExample)
JP (1) JP6405319B2 (enExample)
AU (1) AU2013369439B2 (enExample)
CA (1) CA2890964C (enExample)
DK (1) DK2939026T3 (enExample)
ES (1) ES2639559T3 (enExample)
WO (1) WO2014102130A1 (enExample)

Families Citing this family (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140323325A1 (en) * 2013-03-06 2014-10-30 Marc Beal Molecular imaging and related methods
EP3155592B1 (en) 2014-06-10 2019-09-11 Leland Stanford Junior University Predicting breast cancer recurrence directly from image features computed from digitized immunohistopathology tissue slides
EP3227833B1 (en) 2014-12-03 2024-12-25 Ventana Medical Systems, Inc. Systems and methods for early-stage cancer prognosis
US10672505B2 (en) 2015-06-03 2020-06-02 General Electric Company Biological data annotation and visualization
US9953133B2 (en) 2015-06-03 2018-04-24 General Electric Company Biological data annotation and visualization
US9613254B1 (en) 2015-09-30 2017-04-04 General Electric Company Quantitative in situ characterization of heterogeneity in biological samples
US20170234874A1 (en) * 2015-10-07 2017-08-17 Clearbridge Biophotonics Pte Ltd. Integrated visual morphology and cell protein expression using resonance-light scattering
CN110337588B (zh) * 2016-12-19 2023-02-17 文塔纳医疗系统公司 用于定量免疫组织化学的方法和系统
WO2018219818A1 (en) * 2017-06-02 2018-12-06 Koninklijke Philips N.V. Quantified aspects of lesions in medical images
CN107271671A (zh) * 2017-06-05 2017-10-20 龚畅 一种预测er（+）乳腺癌新辅助化疗效果的试剂盒和系统
US10586376B2 (en) * 2017-06-13 2020-03-10 Optrascan, Inc. Automated method of predicting efficacy of immunotherapy approaches
RU2664671C1 (ru) * 2017-07-28 2018-08-21 Федеральное государственное бюджетное учреждение "Национальный медицинский исследовательский центр онкологии имени Н.Н. Петрова" Министерства здравоохранения Российской Федерации Способ прогноза рака молочной железы
EP3721406B1 (en) 2017-12-05 2024-01-24 Ventana Medical Systems, Inc. Method of computing tumor spatial and inter-marker heterogeneity
US11568657B2 (en) 2017-12-06 2023-01-31 Ventana Medical Systems, Inc. Method of storing and retrieving digital pathology analysis results
EP3721372A1 (en) * 2017-12-06 2020-10-14 Ventana Medical Systems, Inc. Method of storing and retrieving digital pathology analysis results
EP3721373B1 (en) 2017-12-07 2025-03-05 Ventana Medical Systems, Inc. Deep-learning systems and methods for joint cell and region classification in biological images
WO2019121564A2 (en) 2017-12-24 2019-06-27 Ventana Medical Systems, Inc. Computational pathology approach for retrospective analysis of tissue-based companion diagnostic driven clinical trial studies
US11621058B2 (en) 2018-02-08 2023-04-04 Ohio State Innovation Foundation Synthetic IHC-stained digital sides generated using artificial neural networks
EP3776337B1 (en) 2018-04-13 2024-09-11 Ventana Medical Systems, Inc. Systems for cell shape estimation
CN112534439B (zh) 2018-07-27 2026-01-30 文塔纳医疗系统公司 用于自动化原位杂交分析的系统
EP3844771A1 (en) 2018-08-31 2021-07-07 Ventana Medical Systems, Inc. Contextually adaptive digital pathology interface
AU2019339508B2 (en) * 2018-09-14 2025-12-18 Prelude Corporation Method of selection for treatment of subjects at risk of invasive breast cancer
CN112868024B (zh) 2018-10-15 2025-11-25 文塔纳医疗系统公司 用于细胞分类的系统和方法
CN113226157B (zh) * 2018-12-19 2025-03-18 匹兹堡大学高等教育联邦体系 用于原位或体外多参数细胞和亚细胞成像数据的计算系统病理学空间分析平台
EP3924722B1 (en) 2019-02-13 2025-09-17 Ventana Medical Systems, Inc. Systems and methods for computing the contributions of autofluorescence in multichannel images
WO2020166469A1 (ja) * 2019-02-15 2020-08-20 コニカミノルタ株式会社 情報提供方法、情報提供装置及びプログラム
US11726757B2 (en) * 2019-08-14 2023-08-15 Nvidia Corporation Processor for performing dynamic programming according to an instruction, and a method for configuring a processor for dynamic programming via an instruction
EP4022286A1 (en) 2019-08-28 2022-07-06 Ventana Medical Systems, Inc. Label-free assessment of biomarker expression with vibrational spectroscopy
CN114341952A (zh) * 2019-09-09 2022-04-12 佩治人工智能公司 用于处理玻片的图像以推断生物标志物的系统和方法
CN110853022B (zh) 2019-11-14 2020-11-06 腾讯科技（深圳）有限公司 病理切片图像的处理方法、装置、系统及存储介质
JP7422235B2 (ja) 2020-01-19 2024-01-25 ヴェンタナ メディカル システムズ， インク． 腫瘍検出および分析を支援するための非腫瘍セグメンテーション
JP7695256B2 (ja) 2020-02-11 2025-06-18 ヴェンタナ メディカル システムズ， インク． 機械学習アルゴリズムを訓練し、患者のプライバシーを維持するための連合学習システム
US20210287801A1 (en) * 2020-03-11 2021-09-16 Biosyntagma, Inc. Method for predicting disease state, therapeutic response, and outcomes by spatial biomarkers
EP4121888A1 (en) * 2020-03-18 2023-01-25 Sanofi Systems and methods for predicting expression levels
EP4208856A1 (en) * 2020-08-13 2023-07-12 PAIGE.AI, Inc. Systems and methods to process electronic images for continuous biomarker prediction
DE102020211271A1 (de) * 2020-09-08 2022-03-10 Siemens Healthcare Gmbh Erzeugung eines Biomarkers quantifizierend eine räumliche Homogenität einer medizinischen Parameterkarte
JP2023542343A (ja) * 2020-09-22 2023-10-06 ヴェンタナ メディカル システムズ， インク． エピレグリンおよびアンフィレグリンを用いた上皮増殖因子受容体指向性療法に対する応答の予測
CN112801939B (zh) * 2020-12-31 2022-07-22 杭州迪英加科技有限公司 一种用于提高病理图像ki67指标准确性的方法
WO2022264545A1 (ja) * 2021-06-17 2022-12-22 コニカミノルタ株式会社 定量方法および標識方法
CN113970638B (zh) * 2021-10-24 2023-02-03 清华大学 确定胃癌极早期发生风险及评估胃癌前病变进展风险的分子标志及其在诊断试剂盒中的应用
WO2024035612A1 (en) * 2022-08-08 2024-02-15 Ventana Medical Systems, Inc. System and method for quantification of digitized pathology slides
WO2024178422A1 (en) * 2023-02-24 2024-08-29 Ohio State Innovation Foundation Novel image-based metrics of her2 heterogeneity
US20240420326A1 (en) * 2023-06-15 2024-12-19 New York University Systems, methods and computer-accessible medium for determining and/or analyzing cancer outcome(s) and/or treatment responses
WO2025014787A1 (en) * 2023-07-07 2025-01-16 Ventana Medical Systems, Inc. Brightfield triplex immunohistochemistry assay for evaluating the colocalization of the er, pr, and ki-67 biomarkers in cells
WO2025106811A1 (en) * 2023-11-15 2025-05-22 4D Path Inc. Systems and methods for image-based disease characterization
KR20250156974A (ko) 2024-04-26 2025-11-04 사회복지법인 삼성생명공익재단 딥러닝 모델을 이용한 종양 미세환경 예측 방법 및 분석장치
TWI900356B (zh) * 2024-12-03 2025-10-01 國立中央大學 建立組織微陣列影像模型以及使用該模型判定組織型態的方法

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4444487A (en) 1979-07-02 1984-04-24 Xerox Corporation Multiple-flash fuser
GB8308235D0 (en) 1983-03-25 1983-05-05 Celltech Ltd Polypeptides
US4816567A (en) 1983-04-08 1989-03-28 Genentech, Inc. Recombinant immunoglobin preparations
US4745055A (en) 1985-05-07 1988-05-17 California Biotechnology Inc. Fused protein for enzyme immunoassay system
CA1340456C (en) 1986-07-07 1999-03-23 Hubert J.P. Schoemaker Chimeric rodent/human immunoglobulins specific for tumor-associated antigens
GB8626412D0 (en) 1986-11-05 1986-12-03 Clark M R Antibodies
US6283761B1 (en) 1992-09-08 2001-09-04 Raymond Anthony Joao Apparatus and method for processing and/or for providing healthcare information and/or healthcare-related information
GB0229734D0 (en) 2002-12-23 2003-01-29 Qinetiq Ltd Grading oestrogen and progesterone receptors expression
US20050136549A1 (en) * 2003-10-30 2005-06-23 Bioimagene, Inc. Method and system for automatically determining diagnostic saliency of digital images
US8787651B2 (en) * 2010-09-28 2014-07-22 Flagship Biosciences, LLC Methods for feature analysis on consecutive tissue sections
US9286672B2 (en) * 2012-01-10 2016-03-15 Rutgers, The State University Of New Jersey Integrated multivariate image-based method for disease outcome predicition
JP2013200287A (ja) 2012-03-26 2013-10-03 Kawasaki Gakuen Ｋｉ−６７インデックス算定二重染色法を用いた陽性率測定方法

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
BASAVANHALLY A ET AL, JOURNAL OF PATHOLOGY INFORMATICS, (2012-01-19), vol. 2, no. 2, pages 1 - 9 *
CUZICK J ET AL, JOURNAL OF CLINICAL ONCOLOGY, vol. 29, no. 32, 2011, pp. 4273 - 4278. *
JASON CHRISTIANSEN ET AL, "Validation of IHC4 algorithms for prediction of riskof recurrence in early breast cancer using bothconventional and quantitative IHC approaches", 2012 ASCO ANNUAL MEETING PROCEEDINGS, (2012-05-30), vol. 30 *

Also Published As

Publication number Publication date
WO2014102130A1 (en) 2014-07-03
EP2939026A1 (en) 2015-11-04
US20220051804A1 (en) 2022-02-17
CA2890964A1 (en) 2014-07-03
US11211167B2 (en) 2021-12-28
JP2016503167A (ja) 2016-02-01
US20150347702A1 (en) 2015-12-03
AU2013369439A1 (en) 2015-05-28
CA2890964C (en) 2023-07-25
ES2639559T3 (es) 2017-10-27
EP2939026B1 (en) 2017-07-05
DK2939026T3 (en) 2017-09-11
JP6405319B2 (ja) 2018-10-17

Similar Documents

Publication Publication Date Title
US20220051804A1 (en) Image Analysis for Breast Cancer Prognosis
US20220156930A1 (en) Cancer risk stratification based on histopathological tissue slide analysis
Lloyd et al. Using image analysis as a tool for assessment of prognostic and predictive biomarkers for breast cancer: How reliable is it?
Brügmann et al. Digital image analysis of membrane connectivity is a robust measure of HER2 immunostains
KR102179848B1 (ko) 종양 조직 중 면역 세포를 정량화하는 방법 및 이의 사용
Holten-Rossing et al. Optimizing HER2 assessment in breast cancer: application of automated image analysis
CN112789684B (zh) 用于预测对pd-1轴导向疗法的应答的方法和系统
US20110111435A1 (en) Detecting Cell Surface Markers
US20130338016A1 (en) Method For Integrated Pathology Diagnosis And Digital Biomarker Pattern Analysis
Balkenhol et al. Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
Sode et al. Digital image analysis and assisted reading of the HER2 score display reduced concordance: pitfalls in the categorisation of HER2‐low breast cancer
Kim et al. Risk factors associated with discordant Ki-67 levels between preoperative biopsy and postoperative surgical specimens in breast cancers
Feng et al. Low Ki67/high ATM protein expression in malignant tumors predicts favorable prognosis in a retrospective study of early stage hormone receptor positive breast cancer
Ibrahim et al. Improving mitotic cell counting accuracy and efficiency using phosphohistone‐H3 (PHH3) antibody counterstained with haematoxylin and eosin as part of breast cancer grading
Fulawka et al. Proliferation index evaluation in breast cancer using ImageJ and ImmunoRatio applications
JP2015525358A (ja) 組織切片中の単一細胞におけるマーカー定量
Cho et al. The long-term prognostic performance of Ki-67 in primary operable breast cancer and evaluation of its optimal cutoff value
Minot et al. Image analysis of HER2 immunohistochemical staining: reproducibility and concordance with fluorescence in situ hybridization of a laboratory-validated scoring technique
Nassar et al. Trainable immunohistochemical HER2/neu image analysis: a multisite performance study using 260 breast tissue specimens
Miller et al. Objective analysis of cancer stem cell marker expression using immunohistochemistry
Jing et al. Validity and reliability of Ki-67 assessment in oestrogen receptor positive breast cancer
Walsh et al. A deep-learning solution identifies HER2 negative cases and provides ER and PR results from H&E-stained breast cancer specimens: a blind validation study
CN115552248A (zh) 用于评价肿瘤样品中egfr和egfr配体表达的组织化学系统和方法
Zeng et al. Prognostic and predictive value of a modified diagnostic biopsy-adapted immunoscore in patients with rectal cancer after neoadjuvant treatment: a translational study from the STELLAR trial
Kaplan Quantifying IHC data from whole slide images is paving the way toward personalized medicine

Legal Events

Date Code Title Description
FGA Letters patent sealed or granted (standard patent)