Digital Slide Assessment for Programmed Death-Ligand 1 Combined Positive Score in Head and Neck Squamous Carcinoma: Focus on Validation and Vision
暂无分享,去创建一个
Liron Pantanowitz | Giancarlo Troncone | Albino Eccher | Ilaria Girolami | L. Pantanowitz | G. Troncone | Ilaria Girolami | A. Eccher
[1] Kristine A. Erps,et al. Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future. , 2009, Human pathology.
[2] Liron Pantanowitz,et al. Validation of Remote Digital Frozen Sections for Cancer and Transplant Intraoperative Services , 2018, Journal of pathology informatics.
[3] David C Wilbur,et al. Ovarian frozen section diagnosis: use of whole-slide imaging shows excellent correlation between virtual slide and original interpretations in a large series of cases. , 2010, Archives of pathology & laboratory medicine.
[4] L. Pantanowitz,et al. Digital Slides as an Effective Tool for Programmed Death Ligand 1 Combined Positive Score Assessment and Training: Lessons Learned from the “Programmed Death Ligand 1 Key Learning Program in Head-and-Neck Squamous Cell Carcinoma” , 2021, Journal of pathology informatics.
[5] Liang Cheng,et al. Digital pathology and COVID-19 and future crises: pathologists can safely diagnose cases from home using a consumer monitor and a mini PC , 2020, Journal of Clinical Pathology.
[6] Hung-Ming Wang,et al. Pembrolizumab alone or with chemotherapy versus cetuximab with chemotherapy for recurrent or metastatic squamous cell carcinoma of the head and neck (KEYNOTE-048): a randomised, open-label, phase 3 study , 2019, The Lancet.
[7] Alexis B. Carter,et al. Validating whole slide imaging for diagnostic purposes in pathology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center. , 2013, Archives of pathology & laboratory medicine.
[8] R. Feddersen,et al. Digital Whole Slide Imaging Compared With Light Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter, Double-Blinded, Randomized Study of 2045 Cases. , 2020, Archives of pathology & laboratory medicine.
[9] Liron Pantanowitz,et al. An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study. , 2020, The Lancet. Digital health.
[10] J. Grandis,et al. Head and neck squamous cell carcinoma , 2020, Nature Reviews Disease Primers.
[11] Landon J. Inge,et al. Development and applications of computer image analysis algorithms for scoring of PD-L1 immunohistochemistry , 2020, Immuno-oncology technology.
[12] A. Marchetti,et al. Digital Pathology and PD-L1 Testing in Non Small Cell Lung Cancer: A Workshop Record , 2020, Cancers.
[13] Michael Barnes,et al. Whole tumor section quantitative image analysis maximizes between-pathologists' reproducibility for clinical immunohistochemistry-based biomarkers. , 2017, Laboratory investigation; a journal of technical methods and pathology.
[14] P. Morbini,et al. PD-L1 Testing and Squamous Cell Carcinoma of the Head and Neck: A Multicenter Study on the Diagnostic Reproducibility of Different Protocols , 2021, Cancers.
[15] Yukako Yagi,et al. Implementation of Digital Pathology Offers Clinical and Operational Increase in Efficiency and Cost Savings. , 2019, Archives of pathology & laboratory medicine.
[16] N. Rajpoot,et al. Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective , 2020, Journal of Clinical Pathology.
[17] Anagha P. Jadhav,et al. A Multi-Institutional Study to Evaluate Automated Whole Slide Scoring of Immunohistochemistry for Assessment of Programmed Death-Ligand 1 (PD-L1) Expression in Non–Small Cell Lung Cancer , 2019, Applied immunohistochemistry & molecular morphology : AIMM.
[18] E. Bloemena,et al. Comparison of three PD-L1 immunohistochemical assays in head and neck squamous cell carcinoma (HNSCC) , 2020, Modern Pathology.