Study of cervical cancer through fractals and a method of clustering based on quantum mechanics

Tumor growth in the cervix is a complex process. Understanding this phenomena is quite relevant in order to establish proper diagnosis and therapy strategies and a possible startpoint is to evaluate its complexity through the scaling analysis, which define the tumor growth geometry. In this work, tu...

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Autores:
Torres Hoyos, Francisco José
Martín-Landrove, M.
Baena Navarro, Rubén Enrique
Vergara Villadiego, Juan
Cardenas, J. C.
Tipo de recurso:
Article of journal
Fecha de publicación:
2023
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/51057
Acceso en línea:
https://doi.org/10.1016/j.apradiso.2019.05.011
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066450668&doi=10.1016%2fj.apradiso.2019.05.011&partnerID=40&md5=b71bab8fe0dd1ea08fe409f254ef699c
https://hdl.handle.net/20.500.12494/51057
Palabra clave:
05.45.DF
68.35.CT
ADENOCARCINOMA
ALGORITHM
ALGORITHMS
ARTICLE
CANCER STAGING
CARCINOMA, SQUAMOUS CELL
CERVIX
CLINICAL PROTOCOL
CLUSTER ANALYSIS
COMPUTER ASSISTED DIAGNOSIS
CONTRAST ENHANCEMENT
CONTROLLED STUDY
DIAGNOSIS
DIAGNOSTIC IMAGING
DISEASES
FEMALE
FRACTAL ANALYSIS
FRACTAL DIMENSION
FRACTALS
HUMAN
HUMANS
IMAGE ANALYSIS
IMAGE ENHANCEMENT
IMAGE INTERPRETATION, COMPUTER-ASSISTED
IMAGE PROCESSING
IMAGE SEGMENTATION
IMAGING, THREE-DIMENSIONAL
IN VIVO STUDY
K-MEANS
K-MEANS CLUSTERING
LOCAL ROUGHNESS
MAGN
MAGNETIC RESONANCE
MAJOR CLINICAL STUDY
NUCLEAR MAGNETIC RESONANCE IMAGING
ONCOLOGICAL PARAMETERS
PATHOLOGY
PRIORITY JOURNAL
PROCEDURES
QUANTUM MECHANICS
QUANTUM THEORY
SQUAMOUS CELL CARCINOMA
THREE DIMENSIONAL IMAGING
TUMOR GROWTH
TUMOR VOLUME
TUMORS
UTERINE CERVIX ADENOCARCINOMA
UTERINE CERVIX CANCER
UTERINE CERVIX TUMOR
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
id COOPER2_d73a1828822c2659e8af4a4465bb3353
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/51057
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
spelling Torres Hoyos, Francisco JoséMartín-Landrove, M.Baena Navarro, Rubén EnriqueVergara Villadiego, JuanCardenas, J. C.2023-05-24T16:32:15Z2023-05-24T16:32:15Z01/01/2019https://doi.org/10.1016/j.apradiso.2019.05.011https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066450668&doi=10.1016%2fj.apradiso.2019.05.011&partnerID=40&md5=b71bab8fe0dd1ea08fe409f254ef699c09698043https://hdl.handle.net/20.500.12494/51057Torres Hoyos Francisco,Martín-Landrove M.,Baena Navarro Ruben enrique,Vergara Villadiego Juan,Cardenas J.C..Study of cervical cancer through fractals and a method of clustering based on quantum mechanics.APPL RADIAT ISOTOPES. 2019. 150. ():p. 182-191Tumor growth in the cervix is a complex process. Understanding this phenomena is quite relevant in order to establish proper diagnosis and therapy strategies and a possible startpoint is to evaluate its complexity through the scaling analysis, which define the tumor growth geometry. In this work, tumor interface from primary tumors of squamous cells and adenocarcinomas for cervical cancer were extracted. Fractal dimension and local roughness exponent (Barabási and Stanley (1996)), aloc, were calculated to characterize the in vivo 3-D tumor growth. Image acquisition was carried out according to the standard protocol used for cervical cancer radiotherapy, i.e., axial, magnetic resonance T1 - weighted contrast enhanced images comprising the cervix volume for image registration. Image processing was carried out by a classification scheme based on quantum clustering algorithm (Mussa et al. (2015))combined with the application of the K-means procedure upon contrasted images (Demirkaya et al. (2008)). The results show significant variations of the parameters depending on the tumor stage and its histological origin. © 2019ruben.baena@campusucc.edu.co182-191Elsevier Ltd05.45.DF68.35.CTADENOCARCINOMAALGORITHMALGORITHMSARTICLECANCER STAGINGCARCINOMA, SQUAMOUS CELLCERVIXCLINICAL PROTOCOLCLUSTER ANALYSISCOMPUTER ASSISTED DIAGNOSISCONTRAST ENHANCEMENTCONTROLLED STUDYDIAGNOSISDIAGNOSTIC IMAGINGDISEASESFEMALEFRACTAL ANALYSISFRACTAL DIMENSIONFRACTALSHUMANHUMANSIMAGE ANALYSISIMAGE ENHANCEMENTIMAGE INTERPRETATION, COMPUTER-ASSISTEDIMAGE PROCESSINGIMAGE SEGMENTATIONIMAGING, THREE-DIMENSIONALIN VIVO STUDYK-MEANSK-MEANS CLUSTERINGLOCAL ROUGHNESSMAGNMAGNETIC RESONANCEMAJOR CLINICAL STUDYNUCLEAR MAGNETIC RESONANCE IMAGINGONCOLOGICAL PARAMETERSPATHOLOGYPRIORITY JOURNALPROCEDURESQUANTUM MECHANICSQUANTUM THEORYSQUAMOUS CELL CARCINOMATHREE DIMENSIONAL IMAGINGTUMOR GROWTHTUMOR VOLUMETUMORSUTERINE CERVIX ADENOCARCINOMAUTERINE CERVIX CANCERUTERINE CERVIX TUMORStudy of cervical cancer through fractals and a method of clustering based on quantum mechanicsArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionAPPL RADIAT ISOTOPESinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Publication20.500.12494/51057oai:repository.ucc.edu.co:20.500.12494/510572024-08-20 16:21:22.654metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com
dc.title.spa.fl_str_mv Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
title Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
spellingShingle Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
05.45.DF
68.35.CT
ADENOCARCINOMA
ALGORITHM
ALGORITHMS
ARTICLE
CANCER STAGING
CARCINOMA, SQUAMOUS CELL
CERVIX
CLINICAL PROTOCOL
CLUSTER ANALYSIS
COMPUTER ASSISTED DIAGNOSIS
CONTRAST ENHANCEMENT
CONTROLLED STUDY
DIAGNOSIS
DIAGNOSTIC IMAGING
DISEASES
FEMALE
FRACTAL ANALYSIS
FRACTAL DIMENSION
FRACTALS
HUMAN
HUMANS
IMAGE ANALYSIS
IMAGE ENHANCEMENT
IMAGE INTERPRETATION, COMPUTER-ASSISTED
IMAGE PROCESSING
IMAGE SEGMENTATION
IMAGING, THREE-DIMENSIONAL
IN VIVO STUDY
K-MEANS
K-MEANS CLUSTERING
LOCAL ROUGHNESS
MAGN
MAGNETIC RESONANCE
MAJOR CLINICAL STUDY
NUCLEAR MAGNETIC RESONANCE IMAGING
ONCOLOGICAL PARAMETERS
PATHOLOGY
PRIORITY JOURNAL
PROCEDURES
QUANTUM MECHANICS
QUANTUM THEORY
SQUAMOUS CELL CARCINOMA
THREE DIMENSIONAL IMAGING
TUMOR GROWTH
TUMOR VOLUME
TUMORS
UTERINE CERVIX ADENOCARCINOMA
UTERINE CERVIX CANCER
UTERINE CERVIX TUMOR
title_short Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
title_full Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
title_fullStr Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
title_full_unstemmed Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
title_sort Study of cervical cancer through fractals and a method of clustering based on quantum mechanics
dc.creator.fl_str_mv Torres Hoyos, Francisco José
Martín-Landrove, M.
Baena Navarro, Rubén Enrique
Vergara Villadiego, Juan
Cardenas, J. C.
dc.contributor.author.none.fl_str_mv Torres Hoyos, Francisco José
Martín-Landrove, M.
Baena Navarro, Rubén Enrique
Vergara Villadiego, Juan
Cardenas, J. C.
dc.subject.spa.fl_str_mv 05.45.DF
68.35.CT
ADENOCARCINOMA
ALGORITHM
ALGORITHMS
ARTICLE
CANCER STAGING
CARCINOMA, SQUAMOUS CELL
CERVIX
CLINICAL PROTOCOL
CLUSTER ANALYSIS
COMPUTER ASSISTED DIAGNOSIS
CONTRAST ENHANCEMENT
CONTROLLED STUDY
DIAGNOSIS
DIAGNOSTIC IMAGING
DISEASES
FEMALE
FRACTAL ANALYSIS
FRACTAL DIMENSION
FRACTALS
HUMAN
HUMANS
IMAGE ANALYSIS
IMAGE ENHANCEMENT
IMAGE INTERPRETATION, COMPUTER-ASSISTED
IMAGE PROCESSING
IMAGE SEGMENTATION
IMAGING, THREE-DIMENSIONAL
IN VIVO STUDY
K-MEANS
K-MEANS CLUSTERING
LOCAL ROUGHNESS
MAGN
MAGNETIC RESONANCE
MAJOR CLINICAL STUDY
NUCLEAR MAGNETIC RESONANCE IMAGING
ONCOLOGICAL PARAMETERS
PATHOLOGY
PRIORITY JOURNAL
PROCEDURES
QUANTUM MECHANICS
QUANTUM THEORY
SQUAMOUS CELL CARCINOMA
THREE DIMENSIONAL IMAGING
TUMOR GROWTH
TUMOR VOLUME
TUMORS
UTERINE CERVIX ADENOCARCINOMA
UTERINE CERVIX CANCER
UTERINE CERVIX TUMOR
topic 05.45.DF
68.35.CT
ADENOCARCINOMA
ALGORITHM
ALGORITHMS
ARTICLE
CANCER STAGING
CARCINOMA, SQUAMOUS CELL
CERVIX
CLINICAL PROTOCOL
CLUSTER ANALYSIS
COMPUTER ASSISTED DIAGNOSIS
CONTRAST ENHANCEMENT
CONTROLLED STUDY
DIAGNOSIS
DIAGNOSTIC IMAGING
DISEASES
FEMALE
FRACTAL ANALYSIS
FRACTAL DIMENSION
FRACTALS
HUMAN
HUMANS
IMAGE ANALYSIS
IMAGE ENHANCEMENT
IMAGE INTERPRETATION, COMPUTER-ASSISTED
IMAGE PROCESSING
IMAGE SEGMENTATION
IMAGING, THREE-DIMENSIONAL
IN VIVO STUDY
K-MEANS
K-MEANS CLUSTERING
LOCAL ROUGHNESS
MAGN
MAGNETIC RESONANCE
MAJOR CLINICAL STUDY
NUCLEAR MAGNETIC RESONANCE IMAGING
ONCOLOGICAL PARAMETERS
PATHOLOGY
PRIORITY JOURNAL
PROCEDURES
QUANTUM MECHANICS
QUANTUM THEORY
SQUAMOUS CELL CARCINOMA
THREE DIMENSIONAL IMAGING
TUMOR GROWTH
TUMOR VOLUME
TUMORS
UTERINE CERVIX ADENOCARCINOMA
UTERINE CERVIX CANCER
UTERINE CERVIX TUMOR
description Tumor growth in the cervix is a complex process. Understanding this phenomena is quite relevant in order to establish proper diagnosis and therapy strategies and a possible startpoint is to evaluate its complexity through the scaling analysis, which define the tumor growth geometry. In this work, tumor interface from primary tumors of squamous cells and adenocarcinomas for cervical cancer were extracted. Fractal dimension and local roughness exponent (Barabási and Stanley (1996)), aloc, were calculated to characterize the in vivo 3-D tumor growth. Image acquisition was carried out according to the standard protocol used for cervical cancer radiotherapy, i.e., axial, magnetic resonance T1 - weighted contrast enhanced images comprising the cervix volume for image registration. Image processing was carried out by a classification scheme based on quantum clustering algorithm (Mussa et al. (2015))combined with the application of the K-means procedure upon contrasted images (Demirkaya et al. (2008)). The results show significant variations of the parameters depending on the tumor stage and its histological origin. © 2019
publishDate 2023
dc.date.issued.none.fl_str_mv 01/01/2019
dc.date.accessioned.none.fl_str_mv 2023-05-24T16:32:15Z
dc.date.available.none.fl_str_mv 2023-05-24T16:32:15Z
dc.type.none.fl_str_mv Artículo
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.none.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.apradiso.2019.05.011
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066450668&doi=10.1016%2fj.apradiso.2019.05.011&partnerID=40&md5=b71bab8fe0dd1ea08fe409f254ef699c
dc.identifier.issn.spa.fl_str_mv 09698043
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12494/51057
dc.identifier.bibliographicCitation.spa.fl_str_mv Torres Hoyos Francisco,Martín-Landrove M.,Baena Navarro Ruben enrique,Vergara Villadiego Juan,Cardenas J.C..Study of cervical cancer through fractals and a method of clustering based on quantum mechanics.APPL RADIAT ISOTOPES. 2019. 150. ():p. 182-191
url https://doi.org/10.1016/j.apradiso.2019.05.011
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066450668&doi=10.1016%2fj.apradiso.2019.05.011&partnerID=40&md5=b71bab8fe0dd1ea08fe409f254ef699c
https://hdl.handle.net/20.500.12494/51057
identifier_str_mv 09698043
Torres Hoyos Francisco,Martín-Landrove M.,Baena Navarro Ruben enrique,Vergara Villadiego Juan,Cardenas J.C..Study of cervical cancer through fractals and a method of clustering based on quantum mechanics.APPL RADIAT ISOTOPES. 2019. 150. ():p. 182-191
dc.relation.ispartofjournal.spa.fl_str_mv APPL RADIAT ISOTOPES
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 182-191
dc.publisher.spa.fl_str_mv Elsevier Ltd
institution Universidad Cooperativa de Colombia
repository.name.fl_str_mv Repositorio Institucional Universidad Cooperativa de Colombia
repository.mail.fl_str_mv bdigital@metabiblioteca.com
_version_ 1808789266829934592

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