Characterization of the sentinel lymph node to determine the micro-metastases presence
ilustraciones, diagramas
- Autores:
-
Molano Muñoz, Leidy Tatiana
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/84633
- Palabra clave:
- 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
610 - Medicina y salud::616 - Enfermedades
Ganglios
Ganglio linfático centinela
Detección precoz del cáncer
Ganglia
Sentinel Lymph Node
Early Detection of Cancer
Histopathology
Detection
Breast Cancer
Micro-Metastasis
Histopatología
Cancer de mama
Detección
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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oai_identifier_str |
oai:repositorio.unal.edu.co:unal/84633 |
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UNACIONAL2 |
network_name_str |
Universidad Nacional de Colombia |
repository_id_str |
|
dc.title.eng.fl_str_mv |
Characterization of the sentinel lymph node to determine the micro-metastases presence |
dc.title.translated.spa.fl_str_mv |
Caracterización del ganglio linfático centinela para determinar la presencia de micro-metástasis |
title |
Characterization of the sentinel lymph node to determine the micro-metastases presence |
spellingShingle |
Characterization of the sentinel lymph node to determine the micro-metastases presence 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 610 - Medicina y salud::616 - Enfermedades Ganglios Ganglio linfático centinela Detección precoz del cáncer Ganglia Sentinel Lymph Node Early Detection of Cancer Histopathology Detection Breast Cancer Micro-Metastasis Histopatología Cancer de mama Detección |
title_short |
Characterization of the sentinel lymph node to determine the micro-metastases presence |
title_full |
Characterization of the sentinel lymph node to determine the micro-metastases presence |
title_fullStr |
Characterization of the sentinel lymph node to determine the micro-metastases presence |
title_full_unstemmed |
Characterization of the sentinel lymph node to determine the micro-metastases presence |
title_sort |
Characterization of the sentinel lymph node to determine the micro-metastases presence |
dc.creator.fl_str_mv |
Molano Muñoz, Leidy Tatiana |
dc.contributor.advisor.none.fl_str_mv |
Romero Castro, Edgar Eduardo |
dc.contributor.author.none.fl_str_mv |
Molano Muñoz, Leidy Tatiana |
dc.contributor.researchgroup.spa.fl_str_mv |
Cim@Lab |
dc.contributor.cvlac.spa.fl_str_mv |
Molano Muñoz Leidy Tatiana |
dc.contributor.scopus.spa.fl_str_mv |
Molano, Leidy Tatiana |
dc.contributor.googlescholar.spa.fl_str_mv |
Leidy T. Molano |
dc.subject.ddc.spa.fl_str_mv |
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 610 - Medicina y salud::616 - Enfermedades |
topic |
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 610 - Medicina y salud::616 - Enfermedades Ganglios Ganglio linfático centinela Detección precoz del cáncer Ganglia Sentinel Lymph Node Early Detection of Cancer Histopathology Detection Breast Cancer Micro-Metastasis Histopatología Cancer de mama Detección |
dc.subject.decs.spa.fl_str_mv |
Ganglios Ganglio linfático centinela Detección precoz del cáncer |
dc.subject.decs.eng.fl_str_mv |
Ganglia Sentinel Lymph Node Early Detection of Cancer |
dc.subject.proposal.eng.fl_str_mv |
Histopathology Detection Breast Cancer Micro-Metastasis |
dc.subject.proposal.spa.fl_str_mv |
Histopatología Cancer de mama Detección |
description |
ilustraciones, diagramas |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-09-04T14:18:53Z |
dc.date.available.none.fl_str_mv |
2023-09-04T14:18:53Z |
dc.date.issued.none.fl_str_mv |
2023 |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/84633 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
dc.identifier.repo.none.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
url |
https://repositorio.unal.edu.co/handle/unal/84633 https://repositorio.unal.edu.co/ |
identifier_str_mv |
Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.references.spa.fl_str_mv |
Cancer Staging — cancer.org. https://www.cancer.org/treatment/understanding-your- diagnosis/staging.html. – [Accessed 30-Nov-2022] CxE1;ncer de mama — CancerQuest — cancerquest.org. https://www.cancerquest.org/es/para-los-pacientes/cancer-por-tipo/cancer-de-mama. – [Accessed 01-Dec-2022] Cancer de mama - Estadios — cancer.net. https://www.cancer.net/es/tipos-de-cancer-de-mama/estadios. – [Accessed 30-Nov-2022] types of Breast Cancer — About Breast Cancer — cancer.org.https://www.cancer.org/cancer/breast-cancer/about/types-of-breast-cancer.html.– [Accessed 30-Nov-2022] What Is Breast Cancer? — American Cancer Society — cancer.org.https://www.cancer.org/cancer/breast-cancer/about/what-is-breast-cancer.html.–[Accessed 30-Nov-2022] Apple, Sophia K.: Sentinel lymph node in breast cancer: review article from a pathologistˆa€™s point of view. En: Journal of pathology and translational medicine 50 (2016),Nr. 2, p. 83 Bandi, Peter ; Geessink, Oscar ; Manson, Quirine ; Van Dijk, Marcory ; Balkenhol, Maschenka ; Hermsen, Meyke ; Bejnordi, Babak E. ; Lee, Byungjae ; Paeng, Kyunghyun ; Zhong, Aoxiao [u. a.]: From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge. En: IEEE transactions on medical imaging 38 (2018), Nr. 2, p. 550–560 Bass, Siddharth S. ; Cox, Charles E. ; Ku, Ni N. ; Berman, Claudia ; Reintgen, Douglas S.: The role of sentinel lymph node biopsy in breast cancer. En: Journal of the American College of Surgeons 189 (1999), Nr. 2, p. 183–194 Bejnordi, Babak E. ; Veta, Mitko ; Van Diest, Paul J. ; Van Ginneken, Bram Karssemeijer, Nico ; Litjens, Geert ; Van Der Laak, Jeroen A. ; Hermsen, Meyke ; Manson, Quirine F. ; Balkenhol, Maschenka [u. a.]: Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. En: Jama 318 (2017), Nr. 22, p. 2199–2210 Bera, Kaustav ; Schalper, Kurt A. ; Rimm, David L. ; Velcheti, Vamsidhar; Madabhushi, Anant: Artificial intelligence in digital pathologyˆa€”new tools for diagnosis and precision oncology. En: Nature reviews Clinical oncology 16 (2019), Nr. 11, p. 703–715 Bird, Benjamin ; Bedrossian, Kristi ; Laver, Nora ; Miljkovi´c, Miloˇs ; Romeo, Melissa J. ; Diem, Max: Detection of breast micro-metastases in axillary lymph nodes by infrared micro-spectral imaging. En: Analyst 134 (2009), Nr. 6, p. 1067–1076 Bray, Freddie ; Ferlay, Jacques ; Soerjomataram, Isabelle ; Siegel, Rebecca L. ; Torre, Lindsey A. ; Jemal, Ahmedin: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. En: CA: a cancer journal for clinicians 68 (2018), Nr. 6, p. 394–424 Castro, CL ; Amat, M ; Mysler, DC ; Costanzo, MV ; Nervo, AA ; Coló, FA ; Loza, JB ; Chacón, R: Ganglio centinela positivo sin linfadenectomía axilar: aplicabilidad de las nuevas guías internacionales. En: REVISTA ARGENTINA DE MASTOLOGíA 36 (2017), Nr. 130 Chen, Jia-Mei ; Li, Yan ; Xu, Jun ; Gong, Lei ; Wang, Lin-Wei ; Liu, WenLou ; Liu, Juan: Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review. En: Tumor Biology 39 (2017), Nr. 3, p. 1010428317694550 Colling, Richard ; Pitman, Helen ; Oien, Karin ; Rajpoot, Nasir ; Macklin, Philip ; in Histopathology Working Group, CM-Path A. ; Bachtiar, Velicia; Booth, Richard ; Bryant, Alyson ; Bull, Joshua [u. a.]: Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice. En: The Journal of pathology 249 (2019), Nr. 2, p. 143–150 Corredor, Germán ; Wang, Xiangxue ; Lu, Cheng ; Velcheti, Vamsidhar Romero, Eduardo ; Madabhushi, Anant: A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. En: Medical Imaging 2018: Digital Pathology Vol. 10581 International Society for Optics and Photonics, 2018, p. 105810R Cox, Charles E. ; Kiluk, John V. ; Riker, Adam I. ; Cox, John M. ; Allred, Nathon; Ramos, Daniel C. ; Dupont, Elisabeth L. ; Vrcel, Vesna ; Diaz, Nils ; Boulware, David: Significance of sentinel lymph node micrometastases in human breast cancer. En: Journal of the American College of Surgeons 206 (2008), Nr. 2, p. 261–268 Cserni, G ; Amendoeira, I ; Apostolikas, N ; Bellocq, JP ; Bianchi, S ; Bussolati, Giovanni ; Boecker, W ; Borisch, B ; Connolly, CE ; Decker, T [u. a.]: Pathological work-up of sentinel lymph nodes in breast cancer. Review of current data to be considered for the formulation of guidelines. En: European Journal of Cancer 39 (2003), Nr. 12, p. 1654–1667 Cserni, G´abor ; Bianchi, Simonetta ; Boecker, Werner ; Decker, Thomas ; Lacerda, Manuela ; Rank, Fritz ; Wells, Clive A. ; for Breast Screening Pathology, European Working G.: Improving the reproducibility of diagnosing micrometastases and isolated tumor cells. En: Cancer 103 (2005), Nr. 2, p. 358–367 Danko, Melissa E. ; Bennett, Kyla M. ; Zhai, Jun ; Marks, Jeffrey R. ; Olson Jr, John A.: Improved staging in node-positive breast cancer patients using lymph node ratio: results in 1,788 patients with long-term follow-up. En: Journal of the American College of Surgeons 210 (2010), Nr. 5, p. 797–805 for Disease Control, Centers ; Prevention [u. a.]. Breast cancer in young women https://www. cdc.gov/cancer/breast/young women/bringyourbrave/pdf/breastcanceryoungwomenfactsheet.pdf. 2018 Duncan, W ; Kerr, GR: The curability of breast cancer. En: Br Med J 2 (1976),Nr. 6039, p. 781–783 Giammarile, Francesco ; Vidal-Sicart, Sergi ; Paez, Diana ; Pellet, Olivier ; Enrique, Estrada-Lobato ; Mikhail-Lette, Miriam ; Morozova, Olga ; Camila, Navarro Marulanda M. ; Ivonne, Rodr´ıguez Sanchez Diana ; Bolton, Roberto C D. [u. a.]: Sentinel Lymph Node Methods in Breast Cancer. En: Seminars in Nuclear Medicine Elsevier, 2022 Giuliano, Armando E. ; Dale, Paul S. ; Turner, Roderick R. ; Morton, Donald L.; Evans, Sheila W. ; Krasne, David L.: Improved axillary staging of breast cancer with sentinel lymphadenectomy. En: Annals of surgery 222 (1995), Nr. 3, p. 394 Halilovic, Altuna ; Ehteshami ˆA Bejnordi, Babak ; van ˆA der ˆA Laak, Jeroen; Balkenhol, Maschenka ; Hermsen, Meyke ; Geessink, Oscar ; Bult, Peter ;van ˆA de ˆA Loo, Rob ; Vogels, Rob ; Litjens, Geert ; Stathonikos, Nikolas ;van ˆA Diest, Paul ; Bandi, Peter ; Manson, Quirine F. ; Baidoshvili, Alexi ;Wauters, Carla ; van ˆA Dijk, Marcory: 1399 H & amp;E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset. En: GigaScience 7 (2018), 05, Nr. 6. – ISSN 2047–217X Haralick, Robert M. ; Shanmugam, Karthikeyan ; Dinstein, Its’ H.: Textural features for image classification. En: IEEE Transactions on systems, man, and cybernetics (1973), Nr. 6, p. 610–621 Hatoum, Hassan A. ; Jamali, Faek R. ; El-Saghir, Nagi S. ; Musallam, Khaled M.; Seoud, Muhieddine ; Dimassi, Hani ; Abbas, Jaber ; Khalife, Mohamad ; Boulos, Fouad I. ; Tawil, Ayman N. [u. a.]: Ratio between positive lymph nodes and total excised axillary lymph nodes as an independent prognostic factor for overall survival inpatients with nonmetastatic lymph node-positive breast cancer. En: Indian journal of surgical oncology 1 (2010), Nr. 1, p. 68–75 He, Kaiming ; Zhang, Xiangyu ; Ren, Shaoqing ; Sun, Jian: Deep residual learning for image recognition. En: Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, p. 770–778 Herran, Oscar F. ; Alvarez, Diana C. ; Quintero-Lesmes, Doris C.: Dietary patterns and breast cancer in Colombia: an ecological study. En: International health 12 (2020), Nr. 4, p. 317–324 Houvenaeghel, G ; Sabatier, R ; Reyal, F ; Classe, JM ; Giard, S ; Charitansky, H ; Rouzier, R ; Faure, C ; Garbay, JR ; Dara¨ı, E [u. a.]: Axillary lymph node micrometastases decrease triple-negative early breast cancer survival. En: British journal of cancer 115 (2016), Nr. 9, p. 1024–1031 IDIAZABAL, DRA GABRIELA M.: Histolog´ıa del sistema linfático. En: Flebologia y Linfologıa 13 (2010), p. 797–804 Jarkman, Sofia ; Karlberg, Micael ; Poceviciuté, Milda ; Bodén, Anna ; Bándi, Peter ; Litjens, Geert ; Lundstrom, Claes ; Treanor, Darren ; van der Laak, Jeroen: Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection. En: Cancers 14 (2022), Nr. 21, p. 5424 Bouquet de Joliniere, Jean ; Major, A ; Khomsi, F ; Ben Ali, N ; Guillou, L ; Feki, A: The Sentinel Lymph Node in Breast Cancer: Problems Posed by Examination During Surgery. A Review of Current Literature and Management. En: Frontiers in Surgery 5 (2018), p. 56 Kell, MR ; Winter, DC ; O’sullivan, GC ; Shanahan, F ; Redmond, HP: Biological behaviour and clinical implications of micrometastases. 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En: Medicine 99 (2020), Nr. 40 |
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Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Romero Castro, Edgar Eduardod49b2499bdf2c07e42f8b4dc9715ef18Molano Muñoz, Leidy Tatianac6a0eded49b2c91d7b35c92beb791e88Cim@LabMolano Muñoz Leidy TatianaMolano, Leidy TatianaLeidy T. Molano2023-09-04T14:18:53Z2023-09-04T14:18:53Z2023https://repositorio.unal.edu.co/handle/unal/84633Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramasEl ganglio linfático centinela es un predictor de agresividad del cáncer de mama. El índice de riesgos instantáneos informado fue de 2,14, intervalo de confianza del 95%, lo que muestra que los pacientes con micrometástasis (MM) tienen una mayor probabilidad de una peor supervivencia libre de enfermedad (SSE) y supervivencia general (SG) en comparación con aquellos que tienen ganglios. negativos, la detección temprana del análisis de micrometástasis parece ser el enfoque más ventajoso para los pacientes. Este trabajo propone una detección automática de micrometástasis mediante la cuantificación de cambios celulares locales. La estrategia propuesta caracteriza la morfometría, el color y la textura de los núcleos para establecer diferencias entre MM y el tejido normal. El modelo de color se obtiene del plano [(r − b), g] mientras que la textura corresponde a las características de Haralick de cinco órdenes diferentes de la matriz de coocurrencia. (Texto tomado de la fuente)The sentinel lymph node is a predictor of breast cancer aggressiveness. The hazard ratio reported was 2.14, 95% confidence interval, which shows that the patient with micro-metastasis (MM) have a higher probability of poorer Disease-free survival (DFS) and overall survival (OS) Relative to those who are node-negative, early detection of micro-metastasis analysis appears to be the approach most advantageous for patients. This work proposes an automatic detection of micro-metastasis by quantifying local cellular changes. The proposed strategy characterizes nuclei morphometry, color, and texture to establish differences between MM and normal tissue. The color model is obtained from the plane [(r − b), g] while texture corresponds to Haralick’s features from five different orders of the co-occurrence matrix. This description is complemented by the cellular area obtained from a conventional watershed segmentation.MaestríaModelamiento y análisis de datos basados en técnicas de machine learning.Procesamiento de ImágenesPatología Digitalviii. 33 páginasapplication/pdfeng000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería610 - Medicina y salud::616 - EnfermedadesGangliosGanglio linfático centinelaDetección precoz del cáncerGangliaSentinel Lymph NodeEarly Detection of CancerHistopathologyDetectionBreast CancerMicro-MetastasisHistopatologíaCancer de mamaDetecciónCharacterization of the sentinel lymph node to determine the micro-metastases presenceCaracterización del ganglio linfático centinela para determinar la presencia de micro-metástasisTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMBogotá - Medicina - Maestría en Ingeniería BiomédicaFacultad de MedicinaBogotá, ColombiaUniversidad Nacional de Colombia - Sede BogotáCancer Staging — cancer.org. https://www.cancer.org/treatment/understanding-your- diagnosis/staging.html. – [Accessed 30-Nov-2022]CxE1;ncer de mama — CancerQuest — cancerquest.org. https://www.cancerquest.org/es/para-los-pacientes/cancer-por-tipo/cancer-de-mama. – [Accessed 01-Dec-2022]Cancer de mama - Estadios — cancer.net. https://www.cancer.net/es/tipos-de-cancer-de-mama/estadios. – [Accessed 30-Nov-2022]types of Breast Cancer — About Breast Cancer — cancer.org.https://www.cancer.org/cancer/breast-cancer/about/types-of-breast-cancer.html.– [Accessed 30-Nov-2022]What Is Breast Cancer? — American Cancer Society — cancer.org.https://www.cancer.org/cancer/breast-cancer/about/what-is-breast-cancer.html.–[Accessed 30-Nov-2022]Apple, Sophia K.: Sentinel lymph node in breast cancer: review article from a pathologistˆa€™s point of view. 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En: Medicine 99 (2020), Nr. 40n/an/aEstudiantesInvestigadoresMaestrosPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/84633/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1061786557.2023.pdf1061786557.2023.pdfTesis de Maestría en Ingeniería Biomédicaapplication/pdf6934329https://repositorio.unal.edu.co/bitstream/unal/84633/2/1061786557.2023.pdfc59f113165a5127316b577f359a7d758MD52THUMBNAIL1061786557.2023.pdf.jpg1061786557.2023.pdf.jpgGenerated Thumbnailimage/jpeg4338https://repositorio.unal.edu.co/bitstream/unal/84633/3/1061786557.2023.pdf.jpg0bcd4def4bd4af139d930d69e1ea05d9MD53unal/84633oai:repositorio.unal.edu.co:unal/846332024-02-15 10:05:18.805Repositorio Institucional Universidad Nacional de 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