hematoxylin has been researched along with Colorectal Neoplasms in 46 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 4 (8.70) | 18.2507 |
2000's | 11 (23.91) | 29.6817 |
2010's | 16 (34.78) | 24.3611 |
2020's | 15 (32.61) | 2.80 |
Authors | Studies |
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Bankhead, P; Coleman, HG; Dunne, PD; Fisher, NC; Gelbard, MD; Loughrey, MB | 1 |
Boxberg, M; Engel, J; Foersch, S; Halfter, K; Jesinghaus, M; Konukiewitz, B; Lang, C; Pfarr, N; Pohl, J; Schlitter, AM; Schmitt, M; Silva, M; Steiger, K; Tschurtschenthaler, M; Weichert, W; Wilhelm, D | 1 |
Hong, Y; Kim, ER; Kim, SH; Sohn, I; Song, JH | 1 |
Bian, M; Liu, ZL; Pang, L | 1 |
Banerjee, I; Buchanan, DD; Burnett-Hartman, AN; Como, J; Conner, J; Cyr, DP; Gallinger, SJ; Grant, RC; Hartman, D; Jain, S; Jenkins, MA; Kirsch, R; Le Marchand, L; Lindor, NM; Newcomb, PA; Pai, RK; Patel, B; Phipps, AI; Rosty, C; Samadder, NJ; Schaeffer, DF; Shivji, S; Swallow, C; Westerling-Bui, T | 1 |
Bandoh, T; Fujishima, H; Futsukaichi, T; Ikebe, M; Nakano, K; Sakata, K; Sasaki, A; Terashi, T; Tsutsumi, S; Utsunomiya, T | 1 |
Baiamonte, M; Catalano, OA; Crafa, F; Pomykala, KL; Vanella, S | 1 |
Chen, HH; Liang, YQ; Nong, FF; Wen, B; Xiao, YF; Xing, SP | 1 |
Fan, X; Hu, Q; Li, Q; Li, Y; Li, Z; Liang, C; Liu, Z; Wang, Y; Wu, L; Wu, X; Xu, Y; Yang, J; Yao, S; Ye, H; Ye, Y; You, D; Zhang, X; Zhao, K; Zhao, M | 1 |
Bedognetti, D; Hendrickx, W; Kuppen, PJK; Medema, JP; Mesker, WE; Putter, H; Roelands, J; Roodhart, JML; Smit, MA; Tollenaar, RAEM; van de Weerd, S; van Krieken, JHJM | 1 |
Äyrämö, S; Kuopio, T; Petäinen, L; Pölönen, I; Ruusuvuori, P; Väyrynen, JP | 1 |
Bokhorst, JM; Ciompi, F; Dawson, H; Kirsch, R; Lugli, A; Nagtegaal, ID; Oguz Erdogan, AS; Öztürk, SK; Sheahan, K; Simmer, F; van der Laak, J; Vieth, M; Zlobec, I | 1 |
Albregtsen, F; Askautrud, HA; Church, DN; Danielsen, HE; De Raedt, S; Domingo, E; Farstad, IN; Hveem, TS; Kerr, DJ; Kerr, R; Kleppe, A; Liestøl, K; Maddison, J; Nesbakken, A; Nesheim, JA; Novelli, M; Pradhan, M; Shepherd, NA; Skrede, OJ; Tomlinson, I | 1 |
Akimoto, N; Aminmozaffari, S; Arima, K; Baba, Y; Borowsky, J; Chan, AT; Da Silva, A; Dias Costa, A; Fuchs, CS; Fujiyoshi, K; Giannakis, M; Gu, S; Haruki, K; Kishikawa, J; Lau, MC; Meyerhardt, JA; Nishihara, R; Nowak, JA; Ogino, S; Shi, S; Song, M; Twombly, TS; Ugai, T; Väyrynen, JP; Väyrynen, SA; Wu, K; Zhao, M | 1 |
Berry, G; Higgins, J; Long, J; Longacre, T; Martin, B; Peng, L; Rubin, DL; Shen, J; Yamashita, R | 1 |
Francombe, J; Iqbal, N; Papettas, T; Ramcharan, S; Sanders, DS; Wild, JB | 1 |
Bychkov, D; Haglund, C; Kovanen, PE; Linder, N; Lundin, J; Lundin, M; Nordling, S; Turkki, R; Verrill, C; Walliander, M | 1 |
Fukuoka, T; Hirakawa, K; Iseki, Y; Kashiwagi, S; Maeda, K; Matsutani, S; Nagahara, H; Ohira, M; Shibutani, M; Tanaka, H | 1 |
Dogra, A; Goswami, M; Mehta, A; Sinha, R | 1 |
Brenner, H; Chang-Claude, J; Charoentong, P; Ferber, D; Gaiser, T; Halama, N; Herpel, E; Hoffmeister, M; Jäger, D; Jansen, L; Kather, JN; Krisam, J; Luedde, T; Marx, A; Reyes-Aldasoro, CC; Valous, NA; Weis, CA; Zörnig, I | 1 |
Cogswell, J; Desai, K; Kerkar, SP; Lawson, B; Qi, Z; Stern, M; Vitazka, P; Wang, L | 1 |
de Faria, PR; do Nascimento, MZ; Neves, LA; Tosta, TAA | 1 |
Chang, EI; Fan, Y; Jiao, L; Lai, M; Wang, S; Wei, J; Xu, Y | 1 |
Isa, NM; Mohamad Esa, MS; Sagap, I; Shaari, N; Shah, SA; Wong, YP | 1 |
Crncec, I; Eferl, R; Pathria, P; Svinka, J | 1 |
Ahn, SJ; Hwang, C; Kim, A; Kim, YG; Lee, S; Park, DY | 1 |
Ajioka, Y; Kameyama, H; Kobayashi, T; Kosugi, S; Nogami, H; Okamura, T; Shimada, Y; Wakai, T | 1 |
Rotimi, O | 1 |
Hood, K; Jordan, TW; Kirana, C; Rawson, P; Royds, J; Shi, HJ; Stubbs, R; Ward, T | 1 |
Liu, XY; Qian, QJ; Wang, YG; Yang, M; Yu, DB; Zheng, S; Zhong, SY | 1 |
Bogner, B; Hegedûs, G | 1 |
Asch, MR; Darling, GE; Hwang, DM; Jaskolka, JD; Johnston, MR; Kachura, JR; Tsao, MS; Waddell, TK | 1 |
Enache, SD; Ghiţă, C; Meşină, C; Mirea, CS; Mogoantă, S; Tenovici, M; Vasile, I; Vîlcea, ID | 1 |
Hillery, S; Platell, C; Stewart, CJ | 1 |
Brahmandam, M; Fuchs, CS; Imamura, Y; Kuchiba, A; Liao, X; Lindeman, NI; Longtine, JA; Morikawa, T; Ogino, S; Qian, ZR; Shima, K; Tanaka, N; Yamauchi, M | 1 |
Cui, HH; Dan, HL; Ding, YQ; Geng, J; Guo, CH; Jian, YT; Lai, ZS; Wang, YD; Yang, YJ; Zhang, Y; Zhang, YL; Zhou, DY | 1 |
Johnson, DS; Namiki, T; Tauchi-Nishi, P; Wong, JH | 1 |
Amr, D; Broderick-Villa, G; Danial, T; Difronzo, LA; Haigh, PI; O'Connell, TX | 1 |
Chayama, K; Hiyama, T; Ito, M; Kaneko, I; Kawamura, T; Oka, S; Shimamoto, F; Tanaka, S; Yoshihara, M | 1 |
Bateman, AC; Goulding, H; Kingston, EF | 1 |
Badellino, F; Bertoglio, S; Bruzzi, P; Dicasa, D; Gambini, C; Meszaros, P; Percivale, P; Sciallero, S | 1 |
Hawkins, NJ; Lees, J; Ward, RL | 1 |
Bilchik, AJ; Foshag, LJ; Hutchinson, W; Morton, DL; Rangel, D; Saha, S; Tsioulias, GJ; Wood, TF | 1 |
Bilchik, AJ; Morton, DL; Rangel, D; Shen, P; Spirt, M; Tsioulias, GJ; Wood, TF | 1 |
Inoue, T; Kuwano, H; Mori, M; Shimono, R; Sugimachi, K | 1 |
Goto, M; Hasui, K; Murashima, S; Nagatomo, Y; Sato, E; Yamanaka, H | 1 |
2 review(s) available for hematoxylin and Colorectal Neoplasms
Article | Year |
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Role of one-step nucleic acid amplification in colorectal cancer lymph node metastases detection.
Topics: Colorectal Neoplasms; DNA-Directed RNA Polymerases; Eosine Yellowish-(YS); Hematoxylin; Humans; Keratin-19; Lymph Nodes; Lymphatic Metastasis; Neoplasm Staging; RNA, Messenger; Sentinel Lymph Node Biopsy | 2022 |
Is it time for one-step nucleic acid amplification (OSNA) in colorectal cancer? A systematic review and meta-analysis.
Topics: Adult; Aged; Case-Control Studies; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Staging; Nucleic Acid Amplification Techniques; Odds Ratio; Prognosis; ROC Curve; Sensitivity and Specificity | 2017 |
1 trial(s) available for hematoxylin and Colorectal Neoplasms
Article | Year |
---|---|
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study.
Topics: Aged; Biomarkers, Tumor; Cohort Studies; Colorectal Neoplasms; Deep Learning; Early Detection of Cancer; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Kaplan-Meier Estimate; Male; Middle Aged; Prognosis; Prospective Studies | 2020 |
43 other study(ies) available for hematoxylin and Colorectal Neoplasms
Article | Year |
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Development of a semi-automated method for tumour budding assessment in colorectal cancer and comparison with manual methods.
Topics: Aged; Biomarkers, Tumor; Cohort Studies; Colonic Neoplasms; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Machine Learning; Male; Prognosis; Staining and Labeling | 2022 |
Loss of CDX2 in colorectal cancer is associated with histopathologic subtypes and microsatellite instability but is prognostically inferior to hematoxylin-eosin-based morphologic parameters from the WHO classification.
Topics: CDX2 Transcription Factor; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Microsatellite Instability; Prognosis; World Health Organization | 2021 |
Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorecta
Topics: Artificial Intelligence; Colorectal Neoplasms; Deep Learning; Eosine Yellowish-(YS); Hematoxylin; Humans; Lymph Nodes; Lymphatic Metastasis; Retrospective Studies; Risk Factors | 2022 |
LncRNA CRNDE Deteriorates Delayed Encephalopathy After Acute Carbon Monoxide Poisoning to Inactivate AKT/GSK3β/β-catenin Pathway via miR-212-5p.
Topics: Animals; Apoptosis; beta Catenin; Brain Diseases; Carbon Monoxide Poisoning; Colorectal Neoplasms; Cytokines; Eosine Yellowish-(YS); Glucose; Glycogen Synthase Kinase 3 beta; Hematoxylin; MicroRNAs; Oxygen; Proto-Oncogene Proteins c-akt; Rats; Rats, Sprague-Dawley; RNA, Long Noncoding | 2022 |
Quantitative Pathologic Analysis of Digitized Images of Colorectal Carcinoma Improves Prediction of Recurrence-Free Survival.
Topics: Colorectal Neoplasms; DNA Mismatch Repair; Eosine Yellowish-(YS); Hematoxylin; Humans; Male; Testicular Neoplasms | 2022 |
Prognostic significance of intrahepatic lymphatic invasion in colorectal liver metastases.
Topics: Biomarkers, Tumor; Carcinoembryonic Antigen; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Humans; Liver Neoplasms; Prognosis; Survival Rate | 2022 |
Alcohol promotes epithelial mesenchymal transformation-mediated premetastatic niche formation of colorectal cancer by activating interaction between laminin-γ2 and integrin-β1.
Topics: Animals; Cadherins; Cell Line, Tumor; Cell Movement; Colorectal Neoplasms; Eosine Yellowish-(YS); Epithelial-Mesenchymal Transition; Fibronectins; Focal Adhesion Protein-Tyrosine Kinases; Hematoxylin; Integrin beta1; Interleukin-1beta; Interleukin-6; Laminin; Matrix Attachment Region Binding Proteins; Methylene Blue; Tumor Necrosis Factor-alpha | 2022 |
Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer.
Topics: Artificial Intelligence; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Humans; Prognosis; Retrospective Studies | 2022 |
Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients.
Topics: Biomarkers, Tumor; Colonic Neoplasms; Colorectal Neoplasms; Eosine Yellowish-(YS); Gene Expression; Hematoxylin; Humans; Retrospective Studies; RNA | 2022 |
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer.
Topics: Colorectal Neoplasms; Hematoxylin; Humans; Machine Learning; Neural Networks, Computer; Prognosis | 2023 |
Fully Automated Tumor Bud Assessment in Hematoxylin and Eosin-Stained Whole Slide Images of Colorectal Cancer.
Topics: Artificial Intelligence; Colorectal Neoplasms; Diagnosis, Computer-Assisted; Eosine Yellowish-(YS); Hematoxylin; Humans | 2023 |
Prognostic Significance of Immune Cell Populations Identified by Machine Learning in Colorectal Cancer Using Routine Hematoxylin and Eosin-Stained Sections.
Topics: Biomarkers, Tumor; Cell Lineage; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Kaplan-Meier Estimate; Lymphocytes, Tumor-Infiltrating; Machine Learning; Male; Prognosis; Staining and Labeling | 2020 |
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
Topics: Colorectal Neoplasms; Coloring Agents; Deep Learning; Diagnosis, Computer-Assisted; Eosine Yellowish-(YS); Genetic Predisposition to Disease; Hematoxylin; Humans; Image Interpretation, Computer-Assisted; Microsatellite Instability; Microscopy; Phenotype; Predictive Value of Tests; Reproducibility of Results; Staining and Labeling | 2021 |
Deep learning based tissue analysis predicts outcome in colorectal cancer.
Topics: Aged; Algorithms; Colorectal Neoplasms; Deep Learning; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Image Processing, Computer-Assisted; Machine Learning; Male; Middle Aged; Prognosis; Retrospective Studies | 2018 |
A new method for evaluating tumor-infiltrating lymphocytes (TILs) in colorectal cancer using hematoxylin and eosin (H-E)-stained tumor sections.
Topics: Adult; Aged; Aged, 80 and over; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Fluorescent Dyes; Hematoxylin; Humans; Image Processing, Computer-Assisted; Lymphocytes, Tumor-Infiltrating; Male; Middle Aged; Retrospective Studies; Staining and Labeling | 2018 |
Histopathological Significance and Prognostic Impact of Tumor Budding in Colorectal Cancer
Topics: Adult; Aged; Aged, 80 and over; Biomarkers, Tumor; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Lymphatic Metastasis; Male; Middle Aged; Prognosis; Staining and Labeling; Young Adult | 2018 |
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.
Topics: Colon; Colorectal Neoplasms; Coloring Agents; Deep Learning; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Image Interpretation, Computer-Assisted; Male; Prognosis; Rectum; Retrospective Studies | 2019 |
Reliable Gene Expression Profiling from Small and Hematoxylin and Eosin-Stained Clinical Formalin-Fixed, Paraffin-Embedded Specimens Using the HTG EdgeSeq Platform.
Topics: Biomarkers, Tumor; Colorectal Neoplasms; Eosine Yellowish-(YS); Formaldehyde; Gene Expression Profiling; Gene Library; Hematoxylin; High-Throughput Nucleotide Sequencing; Humans; Lung Neoplasms; Paraffin Embedding; Small Cell Lung Carcinoma; Tissue Fixation | 2019 |
Color normalization of faded H&E-stained histological images using spectral matching.
Topics: Algorithms; Colon; Color; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Histocytochemistry; Humans; Image Processing, Computer-Assisted | 2019 |
Multi-label classification for colon cancer using histopathological images.
Topics: Adenocarcinoma; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Humans; Models, Theoretical; Staining and Labeling | 2013 |
Comparative analysis between multilevel sectioning with conventional haematoxylin and eosin staining and immunohistochemistry for detecting nodal micrometastases with stage I and II colorectal cancers.
Topics: Adult; Aged; Aged, 80 and over; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Micrometastasis; Neoplasm Recurrence, Local; Neoplasm Staging; Staining and Labeling | 2014 |
Induction of colorectal cancer in mice and histomorphometric evaluation of tumors.
Topics: Animals; Azoxymethane; Colorectal Neoplasms; Disease Models, Animal; Eosine Yellowish-(YS); Hematoxylin; Humans; Immunohistochemistry; Mice; Receptors, Platelet-Derived Growth Factor; S100 Calcium-Binding Protein A4; S100 Proteins; Software; Staining and Labeling; Sulfates; Tumor Burden | 2015 |
Venous Invasion in Colorectal Cancer: Impact of Morphologic Findings on Detection Rate.
Topics: Aged; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Middle Aged; Neoplasm Invasiveness; Neoplasm Staging; Vascular Neoplasms; Veins | 2016 |
Tumor Budding Detection by Immunohistochemical Staining is Not Superior to Hematoxylin and Eosin Staining for Predicting Lymph Node Metastasis in pT1 Colorectal Cancer.
Topics: Adenocarcinoma; Adult; Aged; Aged, 80 and over; Biomarkers; Biomarkers, Tumor; Colorectal Neoplasms; Coloring Agents; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Logistic Models; Lymph Node Excision; Lymphatic Metastasis; Male; Middle Aged; Multivariate Analysis; Neoplasm Staging; Retrospective Studies; ROC Curve | 2016 |
Vascular invasion is underrecognized in colorectal cancer using conventional hematoxylin and eosin staining.
Topics: Colorectal Neoplasms; Data Interpretation, Statistical; Endothelium, Vascular; Eosine Yellowish-(YS); Fluorescent Dyes; Hematoxylin; Humans; Neoplasm Invasiveness; Research Design; Staining and Labeling | 2008 |
Compatibility of toluidine blue with laser microdissection and saturation labeling DIGE.
Topics: Analysis of Variance; Colorectal Neoplasms; Electrophoresis, Gel, Two-Dimensional; Eosine Yellowish-(YS); Hematoxylin; Histocytochemistry; Humans; Lasers; Microdissection; Proteins; Proteomics; Reproducibility of Results; Staining and Labeling; Tolonium Chloride | 2009 |
Potent antitumor activity of double-regulated oncolytic adenovirus-mediated ST13 for colorectal cancer.
Topics: Adenoviridae; Animals; Apoptosis; Benzimidazoles; Cell Death; Cell Line, Tumor; Cell Survival; Colorectal Neoplasms; Coloring Agents; Cytopathogenic Effect, Viral; Eosine Yellowish-(YS); Female; Fluorescent Dyes; Gene Expression; Genetic Therapy; Genetic Vectors; Gentian Violet; HCT116 Cells; Hematoxylin; Humans; Immunohistochemistry; In Situ Nick-End Labeling; Mice; Mice, Nude; Oncolytic Virotherapy; Tetrazolium Salts; Thiazoles; Xenograft Model Antitumor Assays | 2009 |
[The significance of elastic staining in detecting vascular invasion in colorectal carcinoma].
Topics: Adult; Aged; Colorectal Neoplasms; Coloring Agents; Contrast Media; Elastic Tissue; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Middle Aged; Muscle, Smooth, Vascular; Neoplasm Invasiveness; Neoplasm Staging; Vascular Neoplasms | 2009 |
Pathologic assessment of radiofrequency ablation of pulmonary metastases.
Topics: Aged; Carcinoma; Catheter Ablation; Cell Survival; Colorectal Neoplasms; Coloring Agents; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Ki-67 Antigen; Lung Neoplasms; Male; Middle Aged; Necrosis; Ontario; Prospective Studies; Sarcoma; Time Factors; Tomography, X-Ray Computed; Treatment Outcome; Ubiquitin-Protein Ligases | 2010 |
Sentinel lymph node study in colorectal cancer using serial sectioning and Hematoxylin-Eosin staining: importance and limitations.
Topics: Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Middle Aged; Neoplasm Metastasis; Neoplasm Staging; Sentinel Lymph Node Biopsy; Staining and Labeling | 2011 |
Caldesmon is useful in demonstrating extramural venous invasion in colorectal carcinomas showing mucinous differentiation.
Topics: Adenocarcinoma, Mucinous; Adipose Tissue; Biomarkers, Tumor; Calmodulin-Binding Proteins; Cell Transformation, Neoplastic; Colorectal Neoplasms; Elastin; Eosine Yellowish-(YS); Hematoxylin; Humans; Mucins; Neoplasm Invasiveness; Neoplasm Staging; Staining and Labeling; Veins | 2012 |
No evidence for interference of h&e staining in DNA testing: usefulness of DNA extraction from H&E-stained archival tissue sections.
Topics: Colon; Colorectal Neoplasms; Coloring Agents; DNA, Neoplasm; Eosine Yellowish-(YS); Hematoxylin; Humans; Polymerase Chain Reaction; Rectum; Staining and Labeling | 2012 |
A novel method for preparation of tissue microarray.
Topics: Colorectal Neoplasms; Coloring Agents; Eosine Yellowish-(YS); Genetic Testing; Hematoxylin; Humans; Microscopy; Oligonucleotide Array Sequence Analysis; Paraffin Embedding; Staining and Labeling | 2004 |
Validation of ex vivo lymphatic mapping in hematoxylin-eosin node-negative carcinoma of the colon and rectum.
Topics: Adult; Aged; Aged, 80 and over; Carcinoma; Colorectal Neoplasms; Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Staging | 2004 |
Ex vivo lymphatic mapping: a technique to improve pathologic staging in colorectal cancer.
Topics: Adenocarcinoma; Adult; Aged; Aged, 80 and over; Colectomy; Colorectal Neoplasms; Coloring Agents; Female; Hematoxylin; Humans; Immunohistochemistry; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Staging; Prospective Studies; Rosaniline Dyes; Sensitivity and Specificity; Sentinel Lymph Node Biopsy | 2004 |
Lymphatic vessel density at the site of deepest penetration as a predictor of lymph node metastasis in submucosal colorectal cancer.
Topics: Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunoenzyme Techniques; Logistic Models; Lymphatic Metastasis; Lymphatic Vessels; Male; Membrane Glycoproteins; Neoplasm Invasiveness; Neovascularization, Pathologic; Risk Factors; Statistics, Nonparametric | 2007 |
Vascular invasion is underrecognized in colorectal cancer using conventional hematoxylin and eosin staining.
Topics: Antigens, CD34; Colorectal Neoplasms; Coloring Agents; Endothelium, Vascular; Eosine Yellowish-(YS); Fluorescent Dyes; Hematoxylin; Humans; Immunohistochemistry; Neoplasm Invasiveness; Platelet Endothelial Cell Adhesion Molecule-1; Prognosis; Sensitivity and Specificity; Staining and Labeling | 2007 |
Cytokeratin immunostaining reveals micrometastasis in negative hematoxylin-eosin lymph nodes of resected stage I-II (pT2-pT3) colorectal cancer.
Topics: Antibodies, Monoclonal; Colorectal Neoplasms; DNA, Neoplasm; Eosine Yellowish-(YS); Flow Cytometry; Fluorescent Dyes; Follow-Up Studies; Hematoxylin; Humans; Immunohistochemistry; Keratins; Lymph Nodes; Lymphatic Metastasis; Neoplasm Staging; Ploidies; Prognosis; Retrospective Studies; Survival Rate | 1997 |
Detection of apoptosis in colorectal carcinoma by light microscopy and in situ end labelling.
Topics: Apoptosis; Colorectal Neoplasms; DNA Fragmentation; DNA Nucleotidylexotransferase; Eosine Yellowish-(YS); Hematoxylin; Humans; Microscopy; Observer Variation | 1997 |
Validation of lymphatic mapping in colorectal cancer: in vivo, ex vivo, and laparoscopic techniques.
Topics: Adult; Aged; Aged, 80 and over; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Laparoscopy; Lymph Node Excision; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Staging; Rectum; Sensitivity and Specificity; Sentinel Lymph Node Biopsy; Statistics, Nonparametric | 2001 |
Lymphatic mapping improves staging during laparoscopic colectomy for cancer.
Topics: Aged; Colectomy; Colorectal Neoplasms; Eosine Yellowish-(YS); Feasibility Studies; Female; Hematoxylin; Humans; Laparoscopy; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Sentinel Lymph Node Biopsy | 2001 |
Vascular invasion of colorectal carcinoma readily visible with certain stains.
Topics: Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Ferric Compounds; Hematoxylin; Humans; Immunohistochemistry; Iodides; Male; Neoplasm Invasiveness; Retrospective Studies; von Willebrand Factor | 1992 |
Chromaticity analysis of immunostained tumor specimens.
Topics: Adenocarcinoma; Adenoma; Antibodies, Monoclonal; Cell Nucleus; Color; Colorectal Neoplasms; Cytoplasm; Hematoxylin; Humans; Image Processing, Computer-Assisted; Immunohistochemistry; p-Dimethylaminoazobenzene; Staining and Labeling | 1992 |