Cargando…

Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer

Objective: This study aimed to compare the potential of monoexponential model (MEM), intravoxel incoherent motion (IVIM) model, kurtosis model, and IVIM–kurtosis model in the diagnosis and aggressiveness assessment of prostate cancer (PCa). Materials and Methods: Thirty-six patients were recruited....

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Ying, Wang, Xuan, Cui, Yadong, Jiang, Yuwei, Yu, Lu, Liu, Ming, Zhang, Wei, Shi, Kaining, Zhang, Jintao, Zhang, Chen, Li, Chunmei, Chen, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518290/
https://www.ncbi.nlm.nih.gov/pubmed/33042822
http://dx.doi.org/10.3389/fonc.2020.01763
_version_ 1783587376495329280
author Liu, Ying
Wang, Xuan
Cui, Yadong
Jiang, Yuwei
Yu, Lu
Liu, Ming
Zhang, Wei
Shi, Kaining
Zhang, Jintao
Zhang, Chen
Li, Chunmei
Chen, Min
author_facet Liu, Ying
Wang, Xuan
Cui, Yadong
Jiang, Yuwei
Yu, Lu
Liu, Ming
Zhang, Wei
Shi, Kaining
Zhang, Jintao
Zhang, Chen
Li, Chunmei
Chen, Min
author_sort Liu, Ying
collection PubMed
description Objective: This study aimed to compare the potential of monoexponential model (MEM), intravoxel incoherent motion (IVIM) model, kurtosis model, and IVIM–kurtosis model in the diagnosis and aggressiveness assessment of prostate cancer (PCa). Materials and Methods: Thirty-six patients were recruited. Diffusion-weighted images were acquired on a 3.0-T magnetic resonance imaging (MRI) system using 0 b values up to 2,000 s/mm(2) and analyzed using four models: MEM (ADC(MEM)), IVIM (D(IVIM), D*(IVIM), f (IVIM)), kurtosis (D(kurtosis), K(kurtosis)), and IVIM–kurtosis (D(IVIM−kurtosis), D(*)(IVIM−kurtosis), f(IVIM−kurtosis), D(IVIM−kurtosis)) models. The values of these parameters were calculated and compared between PCa, benign prostatic hyperplasia (BPH), and prostatitis. Correlations between these parameters and the Gleason score (GS) of PCa were evaluated using the Pearson test. Results: Forty-five lesions were studied, including 18 PCa, 12 prostatitis, and 15 BPH lesions. The ADC(MEM), D(IVIM), f(IVIM), D(kurtosis), and D(IVIM−kurtosis) values were significantly lower and K(kurtosis) and K(IVIM−kurtosis) values were significantly higher in PCa compared with prostatitis and BPH. The area under the curve (AUC) of ADC(MEM) showed significantly higher values than that of f(IVIM) and K(IVIM−kurtosis), but no statistical differences were found between the other parameters. The D(*)(IVIM−kurtosis) value correlated negatively and f(IVIM−kurtosis) and K(IVIM−kurtosis) values correlated positively with the GS. Conclusion: The MEM, IVIM, kurtosis, and IVIM–kurtosis models were all useful for the diagnosis of PCa, and the diagnostic efficacy seemed to be similar. The IVIM–kurtosis model may be superior to the MEM, IVIM, and kurtosis models in the grading of PCa.
format Online
Article
Text
id pubmed-7518290
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-75182902020-10-09 Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer Liu, Ying Wang, Xuan Cui, Yadong Jiang, Yuwei Yu, Lu Liu, Ming Zhang, Wei Shi, Kaining Zhang, Jintao Zhang, Chen Li, Chunmei Chen, Min Front Oncol Oncology Objective: This study aimed to compare the potential of monoexponential model (MEM), intravoxel incoherent motion (IVIM) model, kurtosis model, and IVIM–kurtosis model in the diagnosis and aggressiveness assessment of prostate cancer (PCa). Materials and Methods: Thirty-six patients were recruited. Diffusion-weighted images were acquired on a 3.0-T magnetic resonance imaging (MRI) system using 0 b values up to 2,000 s/mm(2) and analyzed using four models: MEM (ADC(MEM)), IVIM (D(IVIM), D*(IVIM), f (IVIM)), kurtosis (D(kurtosis), K(kurtosis)), and IVIM–kurtosis (D(IVIM−kurtosis), D(*)(IVIM−kurtosis), f(IVIM−kurtosis), D(IVIM−kurtosis)) models. The values of these parameters were calculated and compared between PCa, benign prostatic hyperplasia (BPH), and prostatitis. Correlations between these parameters and the Gleason score (GS) of PCa were evaluated using the Pearson test. Results: Forty-five lesions were studied, including 18 PCa, 12 prostatitis, and 15 BPH lesions. The ADC(MEM), D(IVIM), f(IVIM), D(kurtosis), and D(IVIM−kurtosis) values were significantly lower and K(kurtosis) and K(IVIM−kurtosis) values were significantly higher in PCa compared with prostatitis and BPH. The area under the curve (AUC) of ADC(MEM) showed significantly higher values than that of f(IVIM) and K(IVIM−kurtosis), but no statistical differences were found between the other parameters. The D(*)(IVIM−kurtosis) value correlated negatively and f(IVIM−kurtosis) and K(IVIM−kurtosis) values correlated positively with the GS. Conclusion: The MEM, IVIM, kurtosis, and IVIM–kurtosis models were all useful for the diagnosis of PCa, and the diagnostic efficacy seemed to be similar. The IVIM–kurtosis model may be superior to the MEM, IVIM, and kurtosis models in the grading of PCa. Frontiers Media S.A. 2020-09-11 /pmc/articles/PMC7518290/ /pubmed/33042822 http://dx.doi.org/10.3389/fonc.2020.01763 Text en Copyright © 2020 Liu, Wang, Cui, Jiang, Yu, Liu, Zhang, Shi, Zhang, Zhang, Li and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Liu, Ying
Wang, Xuan
Cui, Yadong
Jiang, Yuwei
Yu, Lu
Liu, Ming
Zhang, Wei
Shi, Kaining
Zhang, Jintao
Zhang, Chen
Li, Chunmei
Chen, Min
Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer
title Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer
title_full Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer
title_fullStr Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer
title_full_unstemmed Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer
title_short Comparative Study of Monoexponential, Intravoxel Incoherent Motion, Kurtosis, and IVIM-Kurtosis Models for the Diagnosis and Aggressiveness Assessment of Prostate Cancer
title_sort comparative study of monoexponential, intravoxel incoherent motion, kurtosis, and ivim-kurtosis models for the diagnosis and aggressiveness assessment of prostate cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518290/
https://www.ncbi.nlm.nih.gov/pubmed/33042822
http://dx.doi.org/10.3389/fonc.2020.01763
work_keys_str_mv AT liuying comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT wangxuan comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT cuiyadong comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT jiangyuwei comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT yulu comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT liuming comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT zhangwei comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT shikaining comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT zhangjintao comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT zhangchen comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT lichunmei comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer
AT chenmin comparativestudyofmonoexponentialintravoxelincoherentmotionkurtosisandivimkurtosismodelsforthediagnosisandaggressivenessassessmentofprostatecancer