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For: Pell R, Oien K, Robinson M, Pitman H, Rajpoot N, Rittscher J, Snead D, Verrill C; UK National Cancer Research Institute (NCRI) Cellular-Molecular Pathology (CM-Path) quality assurance working group. The use of digital pathology and image analysis in clinical trials. J Pathol Clin Res 2019;5:81-90. [PMID: 30767396 DOI: 10.1002/cjp2.127] [Cited by in Crossref: 30] [Cited by in F6Publishing: 33] [Article Influence: 10.0] [Reference Citation Analysis]
Number Citing Articles
1 Bencze J, Szarka M, Kóti B, Seo W, Hortobágyi TG, Bencs V, Módis LV, Hortobágyi T. Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry. Biomolecules 2022;12:19. [DOI: 10.3390/biom12010019] [Reference Citation Analysis]
2 Yoshikawa T, Horai Y, Asaoka Y, Sakurai T, Kikuchi S, Yamaoka M, Tanaka M. Current status of pathological image analysis technology in pharmaceutical companies: a questionnaire survey of the Japan Pharmaceutical Manufacturers Association. J Toxicol Pathol 2020;33:131-9. [PMID: 32425346 DOI: 10.1293/tox.2019-0056] [Reference Citation Analysis]
3 Rakovic K, Colling R, Browning L, Dolton M, Horton MR, Protheroe A, Lamb AD, Bryant RJ, Scheffer R, Crofts J, Stanislaus E, Verrill C. The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters. Diagnostics 2022;12:1225. [DOI: 10.3390/diagnostics12051225] [Reference Citation Analysis]
4 Kazdal D, Rempel E, Oliveira C, Allgäuer M, Harms A, Singer K, Kohlwes E, Ormanns S, Fink L, Kriegsmann J, Leichsenring M, Kriegsmann K, Stögbauer F, Tavernar L, Leichsenring J, Volckmar AL, Longuespée R, Winter H, Eichhorn M, Heußel CP, Herth F, Christopoulos P, Reck M, Muley T, Weichert W, Budczies J, Thomas M, Peters S, Warth A, Schirmacher P, Stenzinger A, Kriegsmann M. Conventional and semi-automatic histopathological analysis of tumor cell content for multigene sequencing of lung adenocarcinoma. Transl Lung Cancer Res 2021;10:1666-78. [PMID: 34012783 DOI: 10.21037/tlcr-20-1168] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Baxi V, Edwards R, Montalto M, Saha S. Digital pathology and artificial intelligence in translational medicine and clinical practice. Mod Pathol 2021. [PMID: 34611303 DOI: 10.1038/s41379-021-00919-2] [Reference Citation Analysis]
6 Smith B, Hermsen M, Lesser E, Ravichandar D, Kremers W. Developing image analysis pipelines of whole-slide images: Pre- and post-processing. J Clin Transl Sci 2020;5:e38. [PMID: 33948260 DOI: 10.1017/cts.2020.531] [Reference Citation Analysis]
7 Humphries MP, Maxwell P, Salto-Tellez M. QuPath: The global impact of an open source digital pathology system. Comput Struct Biotechnol J 2021;19:852-9. [PMID: 33598100 DOI: 10.1016/j.csbj.2021.01.022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Sobottka B, Nowak M, Frei AL, Haberecker M, Merki S, Levesque MP, Dummer R, Moch H, Koelzer VH; Tumor Profiler consortium. Establishing standardized immune phenotyping of metastatic melanoma by digital pathology. Lab Invest 2021;101:1561-70. [PMID: 34446805 DOI: 10.1038/s41374-021-00653-y] [Reference Citation Analysis]
9 Kendall TJ, Robinson M, Brierley DJ, Lim SJ, O'Connor DJ, Shaaban AM, Lewis I, Chan AW, Harrison DJ; SPIRIT-Path group. Guidelines for cellular and molecular pathology content in clinical trial protocols: the SPIRIT-Path extension. Lancet Oncol 2021;22:e435-45. [PMID: 34592193 DOI: 10.1016/S1470-2045(21)00344-2] [Reference Citation Analysis]
10 . Computational pathology and the understanding of disease. J Pathol 2019;249:141-2. [PMID: 31403171 DOI: 10.1002/path.5337] [Reference Citation Analysis]
11 Browning L, Fryer E, Roskell D, White K, Colling R, Rittscher J, Verrill C. Role of digital pathology in diagnostic histopathology in the response to COVID-19: results from a survey of experience in a UK tertiary referral hospital. J Clin Pathol 2021;74:129-32. [PMID: 32616541 DOI: 10.1136/jclinpath-2020-206786] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
12 Abd Hamid M, Colin-York H, Khalid-Alham N, Browne M, Cerundolo L, Chen JL, Yao X, Rosendo-Machado S, Waugh C, Maldonado-Perez D, Bowes E, Verrill C, Cerundolo V, Conlon CP, Fritzsche M, Peng Y, Dong T. Self-Maintaining CD103+ Cancer-Specific T Cells Are Highly Energetic with Rapid Cytotoxic and Effector Responses. Cancer Immunol Res 2020;8:203-16. [PMID: 31771983 DOI: 10.1158/2326-6066.CIR-19-0554] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
13 Mittal S, Wrobel TP, Walsh M, Kajdacsy-balla A, Bhargava R. Breast cancer histopathology using infrared spectroscopic imaging: The impact of instrumental configurations. Clinical Spectroscopy 2021;3:100006. [DOI: 10.1016/j.clispe.2021.100006] [Reference Citation Analysis]
14 Provenzano E, Driskell OJ, O'Connor DJ, Rodriguez-Justo M, McDermott J, Wong N, Kendall T, Zhang YZ, Robinson M, Kurian KM, Pell R, Shaaban AM. The important role of the histopathologist in clinical trials: challenges and approaches to tackle them. Histopathology 2020;76:942-9. [PMID: 32145084 DOI: 10.1111/his.14099] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
15 Prince EA, Sanzari JK, Pandya D, Huron D, Edwards R. Analytical Concordance of PD-L1 Assays Utilizing Antibodies From FDA-Approved Diagnostics in Advanced Cancers: A Systematic Literature Review. JCO Precis Oncol 2021;5:953-73. [PMID: 34136742 DOI: 10.1200/PO.20.00412] [Reference Citation Analysis]
16 Browning L, Colling R, Rakha E, Rajpoot N, Rittscher J, James JA, Salto-Tellez M, Snead DRJ, Verrill C. 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. J Clin Pathol. 2020;. [PMID: 32620678 DOI: 10.1136/jclinpath-2020-206854] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 6.0] [Reference Citation Analysis]
17 Kushnarev VA, Matyashina NA, Shapkina VA, Kushnareva EA, Krivolapov YA, Artemyeva AS. [Assessment of PD-L1 expression using the neural network analysis algorithm in non-small cell lung carcinoma biopsy specimens]. Arkh Patol 2020;82:24-8. [PMID: 33274622 DOI: 10.17116/patol20208206124] [Reference Citation Analysis]
18 Bianconi F, Kather JN, Reyes-Aldasoro CC. Experimental Assessment of Color Deconvolution and Color Normalization for Automated Classification of Histology Images Stained with Hematoxylin and Eosin. Cancers (Basel) 2020;12:E3337. [PMID: 33187299 DOI: 10.3390/cancers12113337] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
19 Chlipala EA, Butters M, Brous M, Fortin JS, Archuletta R, Copeland K, Bolon B. Impact of Preanalytical Factors During Histology Processing on Section Suitability for Digital Image Analysis. Toxicol Pathol 2021;49:755-72. [PMID: 33251977 DOI: 10.1177/0192623320970534] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
20 Levy JJ, Azizgolshani N, Andersen MJ Jr, Suriawinata A, Liu X, Lisovsky M, Ren B, Bobak CA, Christensen BC, Vaickus LJ. A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies. Mod Pathol 2021;34:808-22. [PMID: 33299110 DOI: 10.1038/s41379-020-00718-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
21 Shakya R, Nguyen TH, Waterhouse N, Khanna R. Immune contexture analysis in immuno-oncology: applications and challenges of multiplex fluorescent immunohistochemistry. Clin Transl Immunology 2020;9:e1183. [PMID: 33072322 DOI: 10.1002/cti2.1183] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
22 Gupta R, Le H, Van Arnam J, Belinsky D, Hasan M, Samaras D, Kurc T, Saltz JH. Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics. Curr Pathobiol Rep 2020;8:133-48. [DOI: 10.1007/s40139-020-00217-7] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Lim SJ, Gurusamy K, O'Connor D, Shaaban AM, Brierley D, Lewis I, Harrison D, Kendall TJ, Robinson M. Recommendations for cellular and molecular pathology input into clinical trials: a systematic review and meta-aggregation. J Pathol Clin Res 2021;7:191-202. [PMID: 33635586 DOI: 10.1002/cjp2.199] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
24 Saini KS, de Las Heras B, Plummer R, Moreno V, Romano M, de Castro J, Aftimos P, Fredriksson J, Bhattacharyya GS, Olivo MS, Schiavon G, Punie K, Garcia-Foncillas J, Rogata E, Pfeiffer R, Orbegoso C, Morrison K, Curigliano G, Chin L, Saini ML, Rekdal Ø, Anderson S, Cortes J, Leone M, Dancey J, Twelves C, Awada A. Reimagining Global Oncology Clinical Trials for the Postpandemic Era: A Call to Arms. JCO Glob Oncol 2020;6:1357-62. [PMID: 32897732 DOI: 10.1200/GO.20.00346] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
25 Lara H, Li Z, Abels E, Aeffner F, Bui MM, ElGabry EA, Kozlowski C, Montalto MC, Parwani AV, Zarella MD, Bowman D, Rimm D, Pantanowitz L. Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association. Appl Immunohistochem Mol Morphol 2021;29:479-93. [PMID: 33734106 DOI: 10.1097/PAI.0000000000000930] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
26 Scaglioni D, Ellis M, Catapano F, Torelli S, Chambers D, Feng L, Sewry C, Morgan J, Muntoni F, Phadke R. A high-throughput digital script for multiplexed immunofluorescent analysis and quantification of sarcolemmal and sarcomeric proteins in muscular dystrophies. Acta Neuropathol Commun 2020;8:53. [PMID: 32303261 DOI: 10.1186/s40478-020-00918-5] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
27 Lu MY, Williamson DFK, Chen TY, Chen RJ, Barbieri M, Mahmood F. Data-efficient and weakly supervised computational pathology on whole-slide images. Nat Biomed Eng 2021;5:555-70. [PMID: 33649564 DOI: 10.1038/s41551-020-00682-w] [Cited by in Crossref: 9] [Cited by in F6Publishing: 12] [Article Influence: 9.0] [Reference Citation Analysis]
28 Parra ER, Jiang M, Solis L, Mino B, Laberiano C, Hernandez S, Gite S, Verma A, Tetzlaff M, Haymaker C, Tamegnon A, Rodriguez-Canales J, Hoyd C, Bernachez C, Wistuba I. Procedural Requirements and Recommendations for Multiplex Immunofluorescence Tyramide Signal Amplification Assays to Support Translational Oncology Studies. Cancers (Basel) 2020;12:E255. [PMID: 31972974 DOI: 10.3390/cancers12020255] [Cited by in Crossref: 18] [Cited by in F6Publishing: 14] [Article Influence: 9.0] [Reference Citation Analysis]
29 Moxley-wyles B, Colling R, Verrill C. Artificial intelligence in pathology: an overview. Diagnostic Histopathology 2020;26:513-20. [DOI: 10.1016/j.mpdhp.2020.08.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
30 Sloan P, Robinson M. Quality Assessment Across Disciplines in Head and Neck Cancer Treatment Diagnostic Pathology in HNSCC. Front Oncol 2020;10:364. [PMID: 32266144 DOI: 10.3389/fonc.2020.00364] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
31 Jäntti T, Luhtala S, Mäenpää J, Staff S. Characterization of immunoreactivity with whole-slide imaging and digital analysis in high-grade serous ovarian cancer. Tumour Biol 2020;42:1010428320971404. [PMID: 33169632 DOI: 10.1177/1010428320971404] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
32 Lu MY, Chen RJ, Kong D, Lipkova J, Singh R, Williamson DFK, Chen TY, Mahmood F. Federated learning for computational pathology on gigapixel whole slide images. Med Image Anal 2021;76:102298. [PMID: 34911013 DOI: 10.1016/j.media.2021.102298] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Brázdil T, Gallo M, Nenutil R, Kubanda A, Toufar M, Holub P. Automated annotations of epithelial cells and stroma in hematoxylin-eosin-stained whole-slide images using cytokeratin re-staining. J Pathol Clin Res 2021. [PMID: 34716754 DOI: 10.1002/cjp2.249] [Reference Citation Analysis]
34 Bull JA, Macklin PS, Quaiser T, Braun F, Waters SL, Pugh CW, Byrne HM. Combining multiple spatial statistics enhances the description of immune cell localisation within tumours. Sci Rep 2020;10:18624. [PMID: 33122646 DOI: 10.1038/s41598-020-75180-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
35 Hudeček J, Voorwerk L, van Seijen M, Nederlof I, de Maaker M, van den Berg J, van de Vijver KK, Sikorska K, Adams S, Demaria S, Viale G, Nielsen TO, Badve SS, Michiels S, Symmans WF, Sotiriou C, Rimm DL, Hewitt SM, Denkert C, Loibl S, Loi S, Bartlett JMS, Pruneri G, Dillon DA, Cheang MCU, Tutt A, Hall JA, Kos Z, Salgado R, Kok M, Horlings HM; International Immuno-Oncology Biomarker Working Group. Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials. NPJ Breast Cancer 2020;6:15. [PMID: 32436923 DOI: 10.1038/s41523-020-0155-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
36 Arends MJ, Salto-Tellez M. Low-contact and high-interconnectivity pathology (LC&HI Path): post-COVID19-pandemic practice of pathology. Histopathology 2020;77:518-24. [PMID: 32516836 DOI: 10.1111/his.14174] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
37 Engel PJH, Fiehn AK, Goudkade D, Thagaard J, Holten-Rossing H, Landolfi S, Villanacci V, Munck LK. Quantifying intraepithelial lymphocytes and subepithelial collagen band in microscopic colitis, extracting insights into the interrelationship of lymphocytic and collagenous colitis. Ann Diagn Pathol 2021;52:151741. [PMID: 33865186 DOI: 10.1016/j.anndiagpath.2021.151741] [Reference Citation Analysis]
38 Fleming KA, Horton S, Wilson ML, Atun R, DeStigter K, Flanigan J, Sayed S, Adam P, Aguilar B, Andronikou S, Boehme C, Cherniak W, Cheung AN, Dahn B, Donoso-Bach L, Douglas T, Garcia P, Hussain S, Iyer HS, Kohli M, Labrique AB, Looi LM, Meara JG, Nkengasong J, Pai M, Pool KL, Ramaiya K, Schroeder L, Shah D, Sullivan R, Tan BS, Walia K. The Lancet Commission on diagnostics: transforming access to diagnostics. Lancet 2021;398:1997-2050. [PMID: 34626542 DOI: 10.1016/S0140-6736(21)00673-5] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]