Cargando…

Parametric maps of spatial two-tissue compartment model for prostate dynamic contrast enhanced MRI - comparison with the standard Tofts model in the diagnosis of prostate cancer

The spatial two-tissue compartment model (2TCM) was used to analyze prostate dynamic contrast enhanced (DCE) MRI data and compared with the standard Tofts model. A total of 29 patients with biopsy-confirmed prostate cancer were included in this IRB-approved study. MRI data were acquired on a Philips...

Descripción completa

Detalles Bibliográficos
Autores principales:	ZHOU, Xueyan, Fan, Xiaobing, Chatterjee, Aritrick, Yousuf, Ambereen, Antic, Tatjana, Oto, Aytekin, Karczmar, Gregory S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Journal Experts 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934750/ https://www.ncbi.nlm.nih.gov/pubmed/36798227 http://dx.doi.org/10.21203/rs.3.rs-2539644/v1

Ejemplares similares

Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue
por: Enríquez-Mier-y-Terán, Francisco E., et al.
Publicado: (2023)

Use of Indicator Dilution Principle to Evaluate Accuracy of Arterial Input Function Measured With Low-Dose Ultrafast Prostate Dynamic Contrast-Enhanced MRI
por: Wang, Shiyang, et al.
Publicado: (2019)

Directional and inter‐acquisition variability in diffusion‐weighted imaging and editing for restricted diffusion
por: Gundogdu, Batuhan, et al.
Publicado: (2022)

Reliability of dynamic contrast-enhanced magnetic resonance imaging data in primary brain tumours: a comparison of Tofts and shutter speed models
por: Inglese, Marianna, et al.
Publicado: (2019)

What Mary Toft Felt: Women’s Voices, Pain, Power and the Body
por: Harvey, Karen
Publicado: (2015)

Prostate MRI: Is Endorectal Coil Necessary?—A Review
por: Lee, Grace, et al.
Publicado: (2022)

DCE-MRI of locally-advanced carcinoma of the uterine cervix: Tofts analysis versus non-model-based analyses
por: Lund, Kjersti V., et al.
Publicado: (2020)

Intercellular Signaling in Cancer—the SMT and TOFT Hypotheses, Exosomes, Telocytes and Metastases: Is the Messenger in the Message?
por: Smythies, John
Publicado: (2015)

Quantifying lumbar vertebral perfusion by a Tofts model on DCE-MRI using segmental versus aortic arterial input function
por: Liu, Yi-Jui, et al.
Publicado: (2021)

On the Parametrization of Flavor Mixing in the Standard Model
por: Fritzsch, Harald, et al.
Publicado: (1997)

Real-Time MRI-Guided Prostate Interventions
por: Masoom, Seyedeh Nina, et al.
Publicado: (2022)

Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI
por: Dikaios, Nikolaos, et al.
Publicado: (2014)

Parametric delineation uncertainties contouring (PDUC) modeling on CT scans of prostate cancer patients
por: Ly, Vi, et al.
Publicado: (2023)

The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer
por: Fan, Yu-Hua, et al.
Publicado: (2021)

The Evaluation of Survival Rate in Patients with Prostate Cancer by Bayesian Weibull Parametric Accelerated Failure-Time Model
por: Askari Tajabadi, Nahid, et al.
Publicado: (2022)

Multi-view radiomics and deep learning modeling for prostate cancer detection based on multi-parametric MRI
por: Li, Chunyu, et al.
Publicado: (2023)

A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI
por: Mehmood, Mubashar, et al.
Publicado: (2023)

Multi-parametric MRI imaging of the prostate—implications for focal therapy
por: Wysock, James S., et al.
Publicado: (2017)

False positive and false negative diagnoses of prostate cancer at multi-parametric prostate MRI in active surveillance
por: Quon, Jeffrey S., et al.
Publicado: (2015)

Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer
por: Kovacs, Balint, et al.
Publicado: (2023)

Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
por: Khalvati, Farzad, et al.
Publicado: (2015)

Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer
por: Dikaios, Nikolaos, et al.
Publicado: (2018)

Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation
por: Gaur, Sonia, et al.
Publicado: (2018)

The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations
por: Ye, Changhee, et al.
Publicado: (2022)

Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation
por: Thulasi Seetha, Sithin, et al.
Publicado: (2023)

Prostate cancer tumour control probability modelling for external beam radiotherapy based on multi-parametric MRI-GTV definition
por: Sachpazidis, Ilias, et al.
Publicado: (2020)

Comparison of machine learning models based on multi-parametric magnetic resonance imaging and ultrasound videos for the prediction of prostate cancer
por: Qi, Xiaoyang, et al.
Publicado: (2023)

MRI of neonatal necrotizing enterocolitis in a rodent model
por: Mustafi, Devkumar, et al.
Publicado: (2014)

Association between a 17-gene genomic prostate score and multi-parametric prostate MRI in men with low and intermediate risk prostate cancer (PCa)
por: Leapman, Michael S., et al.
Publicado: (2017)

MultiParametric Magnetic Resonance Imaging-Based Nomogram for Predicting Prostate Cancer and Clinically Significant Prostate Cancer in Men Undergoing Repeat Prostate Biopsy
por: Huang, Cong, et al.
Publicado: (2018)

Barriers to obtaining prostate multi‐parametric magnetic resonance imaging in African‐American men on active surveillance for prostate cancer
por: Walton, Eric L., et al.
Publicado: (2019)

Analysis of parametric and non-parametric option pricing models()
por: Luo, Qiang, et al.
Publicado: (2022)

Incorporating Oxygen-Enhanced MRI into Multi-Parametric Assessment of Human Prostate Cancer
por: Zhou, Heling, et al.
Publicado: (2017)

Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics
por: Rodrigues, Ana, et al.
Publicado: (2021)

Effectiveness of Bi-Parametric MR/US Fusion Biopsy for Detecting Clinically Significant Prostate Cancer in Prostate Biopsy Naïve Men
por: Kim, Young Joo, et al.
Publicado: (2019)

Inhibition of WHSC1 Allows for Reprogramming of the Immune Compartment in Prostate Cancer
por: Want, Muzamil Y., et al.
Publicado: (2021)

A predictive model for prostate cancer incorporating PSA molecular forms and age
por: Oto, Julia, et al.
Publicado: (2020)

Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy
por: Gaunay, Geoffrey S., et al.
Publicado: (2017)

Role of multi-parametric MRI of the prostate for screening and staging: Experience with over 1500 cases
por: Gaunay, Geoffrey, et al.
Publicado: (2017)

The Prostate Health Index adds predictive value to multi-parametric MRI in detecting significant prostate cancers in a repeat biopsy population
por: Gnanapragasam, V. J., et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_j7oovuel98t4k8qsj4riclmvtj