Companion diagnostic requirements for spatial biology using multiplex immunofluorescence and multispectral imaging
暂无分享,去创建一个
[1] E. Lundberg,et al. The emerging landscape of spatial profiling technologies , 2022, Nature reviews genetics.
[2] I. Chetty,et al. The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use , 2022, Int. J. Medical Informatics.
[3] A. Vladzymyrskyy,et al. Changes in software as a medical device based on artificial intelligence technologies , 2022, International Journal of Computer Assisted Radiology and Surgery.
[4] P. Boor,et al. Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology , 2022, Modern Pathology.
[5] M. J. van de Vijver,et al. The impact of a pathologist's personality on the interobserver variability and diagnostic accuracy of predictive PD-L1 immunohistochemistry in lung cancer. , 2022, Lung cancer.
[6] C. Marquette,et al. Analytical validation of automated multiplex chromogenic immunohistochemistry for diagnostic and predictive purpose in non-small cell lung cancer. , 2022, Lung cancer.
[7] F. Nahm. Receiver operating characteristic curve: overview and practical use for clinicians , 2022, Korean journal of anesthesiology.
[8] P. Lorgelly,et al. Technology-Enabled, Evidence-Driven, and Patient-Centered: The Way Forward for Regulating Software as a Medical Device , 2022, JMIR medical informatics.
[9] A. Parwani,et al. Bridging the Gap: The Critical Role of Regulatory Affairs and Clinical Affairs in the Total Product Life Cycle of Pathology Imaging Devices and Software , 2021, Frontiers in Medicine.
[10] T. Kiehl,et al. Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Pathology (ESDIP) , 2021, Diagnostics.
[11] J. Lee,et al. An analysis of research biopsy core variability from over 5000 prospectively collected core samples , 2021, npj Precision Oncology.
[12] D. Larsimont,et al. Fluorescent Multiplex Immunohistochemistry Coupled With Other State-Of-The-Art Techniques to Systematically Characterize the Tumor Immune Microenvironment , 2021, Frontiers in Molecular Biosciences.
[13] E. Parra,et al. Best Practices for Technical Reproducibility Assessment of Multiplex Immunofluorescence , 2021, Frontiers in Molecular Biosciences.
[14] E. Torlakovic,et al. Quantitative comparison of PD-L1 IHC assays against NIST standard reference material 1934 , 2021, Modern Pathology.
[15] E. Parra,et al. Pathology Quality Control for Multiplex Immunofluorescence and Image Analysis Assessment in Longitudinal Studies , 2021, Frontiers in Molecular Biosciences.
[16] J. Taube,et al. Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study , 2021, Journal for ImmunoTherapy of Cancer.
[17] E. Parra. Methods to Determine and Analyze the Cellular Spatial Distribution Extracted From Multiplex Immunofluorescence Data to Understand the Tumor Microenvironment , 2021, Frontiers in Molecular Biosciences.
[18] Ludmila V. Danilova,et al. Analysis of multispectral imaging with the AstroPath platform informs efficacy of PD-1 blockade , 2021, Science.
[19] C. Hoyt. Multiplex Immunofluorescence and Multispectral Imaging: Forming the Basis of a Clinical Test Platform for Immuno-Oncology , 2021, Frontiers in Molecular Biosciences.
[20] Y. Tsutsumi. Pitfalls and Caveats in Applying Chromogenic Immunostaining to Histopathological Diagnosis , 2021, Cells.
[21] Gregory Campbell,et al. The role of statistics in the design and analysis of companion diagnostic (CDx) studies , 2021 .
[22] G. Litjens,et al. Deep learning in histopathology: the path to the clinic , 2021, Nature Medicine.
[23] I. Wistuba,et al. Multiplex Immunofluorescence Tyramide Signal Amplification for Immune Cell Profiling of Paraffin-Embedded Tumor Tissues , 2021, Frontiers in Molecular Biosciences.
[24] Giovanni M. Lujan,et al. Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association , 2021, Journal of pathology informatics.
[25] L. Pantanowitz,et al. Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association , 2021, Applied immunohistochemistry & molecular morphology : AIMM.
[26] James Ziai,et al. Clinical and research applications of multiplexed immunohistochemistry and in situ hybridization , 2021, The Journal of pathology.
[27] Anika K Schaedle,et al. Development and Validation of Measurement Traceability for In Situ Immunoassays. , 2021, Clinical chemistry.
[28] P. Tan,et al. Multi-protein spatial signatures in ductal carcinoma in situ (DCIS) of breast , 2021, British Journal of Cancer.
[29] Salil S. Bhate,et al. Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma , 2020, Nature Communications.
[30] M. Willrich,et al. A High-Level Overview of the Regulations Surrounding a Clinical Laboratory and Upcoming Regulatory Challenges for Laboratory Developed Tests. , 2020, Laboratory medicine.
[31] Heeva Baharlou,et al. AFid: A tool for automated identification and exclusion of autofluorescent objects from microscopy images. , 2020, Bioinformatics.
[32] A. LaCasce,et al. Spatial Signatures Identify Immune Escape via PD-1 as a Defining Feature of T-cell/Histiocyte-rich Large B-cell Lymphoma. , 2020, Blood.
[33] Salil S. Bhate,et al. Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front , 2020, Cell.
[34] A. Marchevsky,et al. Pathologists should probably forget about kappa. Percent agreement, diagnostic specificity and related metrics provide more clinically applicable measures of interobserver variability. , 2020, Annals of diagnostic pathology.
[35] J. Taube,et al. The Society for Immunotherapy in Cancer statement on best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) staining and validation , 2020, Journal for immunotherapy of cancer.
[36] J. T. Jørgensen. Companion and complementary diagnostics: an important treatment decision tool in precision medicine , 2020, Expert review of molecular diagnostics.
[37] L. Morrison,et al. Brightfield multiplex immunohistochemistry with multispectral imaging , 2020, Laboratory Investigation.
[38] T. Lim,et al. Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapy , 2020, Cancer communications.
[39] V. Prasad,et al. Estimation of the Percentage of US Patients With Cancer Who Are Eligible for Immune Checkpoint Inhibitor Drugs , 2020, JAMA network open.
[40] Mei Jiang,et al. Procedural Requirements and Recommendations for Multiplex Immunofluorescence Tyramide Signal Amplification Assays to Support Translational Oncology Studies , 2020, Cancers.
[41] T. Bauer,et al. Precise Identification of Cell and Tissue Features Important for Histopathologic Diagnosis by a Whole Slide Imaging System , 2020, Journal of pathology informatics.
[42] Salil S. Bhate,et al. Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front , 2019, Cell.
[43] R. Levenson,et al. New Technologies to Image Tumors. , 2020, Cancer treatment and research.
[44] Edwin Roger Parra,et al. Multiplex Immunofluorescence Assays. , 2020, Methods in molecular biology.
[45] Heeva Baharlou,et al. AFid: A tool for automated identification and exclusion of autofluorescent objects from microscopy images , 2019, bioRxiv.
[46] David L Rimm,et al. Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade: A Systematic Review and Meta-analysis. , 2019, JAMA oncology.
[47] Douglas Bowman,et al. Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association , 2019, Journal of pathology informatics.
[48] Paul Hofman,et al. Multiplexed Immunohistochemistry for Molecular and Immune Profiling in Lung Cancer—Just About Ready for Prime-Time? , 2019, Cancers.
[49] Jaime Rodriguez-Canales,et al. Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens. , 2019, Journal of visualized experiments : JoVE.
[50] Timo Kohlberger,et al. Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection , 2019, Journal of pathology informatics.
[51] Lai Guan Ng,et al. Dimensionality reduction for visualizing single-cell data using UMAP , 2018, Nature Biotechnology.
[52] Philipp Berens,et al. The art of using t-SNE for single-cell transcriptomics , 2018, Nature Communications.
[53] B. Besse,et al. Clinical utility of tumor mutational burden in patients with non-small cell lung cancer treated with immunotherapy. , 2018, Translational lung cancer research.
[54] A. Ganser,et al. Signatures of T and B Cell Development, Functional Responses and PD-1 Upregulation After HCMV Latent Infections and Reactivations in Nod.Rag.Gamma Mice Humanized With Cord Blood CD34+ Cells , 2018, Front. Immunol..
[55] E. Pisano,et al. What Can Be Done to Improve Research Biopsy Quality in Oncology Clinical Trials? , 2018, Journal of oncology practice.
[56] M. Fernö,et al. Stability of oestrogen and progesterone receptor antigenicity in formalin‐fixed paraffin‐embedded breast cancer tissue over time , 2018, APMIS : acta pathologica, microbiologica, et immunologica Scandinavica.
[57] Z. Werb,et al. Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity , 2018, Nature Communications.
[58] Toby C. Cornish,et al. US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised. , 2018, Archives of pathology & laboratory medicine.
[59] Ron Kikinis,et al. Implementing the DICOM Standard for Digital Pathology , 2018, Journal of pathology informatics.
[60] E. Eisemann,et al. Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types , 2017, Nature Communications.
[61] R. Eisen. Controls, Fit-for-purpose Assays, Verification Versus Validation, and Tissue Tools for IHC: Announcing a Workshop From the International Society for Immunohistochemistry and Molecular Morphology, Held at the 12th Annual Retreat for Applied Immunohistochemistry and Molecular Morphology, February 4, 2 , 2017, Applied immunohistochemistry & molecular morphology (Print).
[62] C. Gridelli,et al. The reproducibility of PD-L1 scoring in lung cancer: can the pathologists do better? , 2017, Translational lung cancer research.
[63] Tuan Bui,et al. Multiparametric immune profiling in HPV- oral squamous cell cancer. , 2017, JCI insight.
[64] E. Hsueh,et al. Utility of PD-L1 immunohistochemistry assays for predicting PD-1/PD-L1 inhibitor response , 2017, Biomarker Research.
[65] L. Essioux,et al. Current Status of Companion and Complementary Diagnostics: Strategic Considerations for Development and Launch , 2017, Clinical and translational science.
[66] S. Prost,et al. Choice of Illumination System & Fluorophore for Multiplex Immunofluorescence on FFPE Tissue Sections , 2016, PloS one.
[67] M. Fassan,et al. HER2 heterogeneity in gastric/gastroesophageal cancers: From benchside to practice. , 2016, World journal of gastroenterology.
[68] A. Caliendo,et al. Point-Counterpoint: The FDA Has a Role in Regulation of Laboratory-Developed Tests , 2016, Journal of Clinical Microbiology.
[69] S. Nielsen. External quality assessment for immunohistochemistry: experiences from NordiQC , 2015, Biotechnic & histochemistry : official publication of the Biological Stain Commission.
[70] M. Baker. Reproducibility crisis: Blame it on the antibodies , 2015, Nature.
[71] Christopher-Paul Milne,et al. Complementary versus companion diagnostics: apples and oranges? , 2015, Biomarkers in medicine.
[72] Clive R. Taylor,et al. Standardization of Positive Controls in Diagnostic Immunohistochemistry: Recommendations From the International Ad Hoc Expert Committee , 2015, Applied immunohistochemistry & molecular morphology : AIMM.
[73] Chichung Wang,et al. Multiplexed immunohistochemistry, imaging, and quantitation: a review, with an assessment of Tyramide signal amplification, multispectral imaging and multiplex analysis. , 2014, Methods.
[74] J. T. Jørgensen,et al. Companion Diagnostics for Targeted Cancer Drugs – Clinical and Regulatory Aspects , 2014, Front. Oncol..
[75] Clive R. Taylor,et al. Standardization of Negative Controls in Diagnostic Immunohistochemistry: Recommendations From the International Ad Hoc Expert Panel , 2014, Applied immunohistochemistry & molecular morphology : AIMM.
[76] Sabina Sanghera,et al. ECONOMIC EVALUATIONS AND DIAGNOSTIC TESTING: AN ILLUSTRATIVE CASE STUDY APPROACH , 2013, International Journal of Technology Assessment in Health Care.
[77] C. Isacke,et al. Multiple immunofluorescence labeling of formalin-fixed paraffin-embedded tissue. , 2011, Methods in molecular biology.
[78] D. Atha,et al. Standards for Immunohistochemical Imaging: A Protein Reference Device for Biomarker Quantitation , 2010, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[79] R. Herbert,et al. Useful Immunohistochemical Markers of Tumor Differentiation , 2010, Toxicologic pathology.
[80] A. Šimundić. Measures of Diagnostic Accuracy: Basic Definitions , 2009, EJIFCC.
[81] Clifford Hoyt,et al. Visualization of Microscopy‐Based Spectral Imaging Data from Multi‐Label Tissue Sections , 2008, Current protocols in molecular biology.
[82] C. Loos. Multiple Immunoenzyme Staining: Methods and Visualizations for the Observation With Spectral Imaging , 2008 .
[83] D. Rimm. What brown cannot do for you , 2006, Nature Biotechnology.
[84] Richard M Levenson,et al. Spectral imaging perspective on cytomics , 2006, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[85] S. Taube,et al. Standard Reference Material for Her2 Testing: Report of a National Institute of Standards and Technology-sponsored Consensus Workshop , 2003, Applied immunohistochemistry & molecular morphology : AIMM.
[86] M. Bobrow,et al. Tyramide Signal Amplification (TSA) Systems for the Enhancement of ISH Signals in Cytogenetics , 2000, Current protocols in cytometry.
[87] G. Timberlake,et al. Feature-Based Registration of Retinal Images , 1987, IEEE Transactions on Medical Imaging.
[88] G. B. Pierce,et al. ENZYME-LABELED ANTIBODIES: PREPARATION AND APPLICATION FOR THE LOCALIZATION OF ANTIGENS , 1966, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.