Diffusion kurtosis imaging and standard diffusion imaging in the magnetic resonance imaging assessment of prostate cancer.

Diffusion kurtosis imaging (DKI) diffusion-weighted imaging (DWI) prostate cancer (PCa)

Journal

Gland surgery
ISSN: 2227-684X
Titre abrégé: Gland Surg
Pays: China (Republic : 1949- )
ID NLM: 101606638

Informations de publication

Date de publication:
26 Dec 2023
Historique:
received: 12 02 2023
accepted: 09 11 2023
medline: 17 1 2024
pubmed: 17 1 2024
entrez: 17 1 2024
Statut: ppublish

Résumé

In recent years, magnetic resonance imaging (MRI) has shown excellent results in the study of the prostate gland. MRI has indeed shown to be advantageous in the prostate cancer (PCa) detection, as in guiding targeting biopsy, improving its diagnostic yield. Although current acquisition protocols provide for multiparametric acquisition, recent evidence has shown that biparametric protocols can be non-inferior in PCa detection. Diffusion-weighted imaging (DWI) sequence, in particular, plays a key role, particularly in the peripheral zone which accounts for the larger part of the prostate. High b-values are generally recommended, although with the possibility of obtaining non-Gaussian diffusion effects, which requires a more sophisticated model for the analysis, namely through the diffusion kurtosis imaging (DKI). Purpose of this narrative review was to analyze the current applications and clinical evidence regarding the use of DKI with a main focus on PCa detection, also in comparison with DWI. This narrative review synthesized the findings of literature retrieved from main researches, narrative and systematic reviews, and meta-analyses obtained from PubMed. DKI analyses the non-Gaussian water diffusivity and describe the effect of signal intensity decay related to high b-value through two main metrics (D DKI advantages, compared to conventional ADC analysis, still remain controversial. Wider application and greater technical knowledge of DKI, however, may help in proving its intrinsic validity in the field of oncology and therefore in the study of clinically significant PCa. Finally, a deep understanding of DKI is important for radiologists to better understand what K

Sections du résumé

Background and Objective UNASSIGNED
In recent years, magnetic resonance imaging (MRI) has shown excellent results in the study of the prostate gland. MRI has indeed shown to be advantageous in the prostate cancer (PCa) detection, as in guiding targeting biopsy, improving its diagnostic yield. Although current acquisition protocols provide for multiparametric acquisition, recent evidence has shown that biparametric protocols can be non-inferior in PCa detection. Diffusion-weighted imaging (DWI) sequence, in particular, plays a key role, particularly in the peripheral zone which accounts for the larger part of the prostate. High b-values are generally recommended, although with the possibility of obtaining non-Gaussian diffusion effects, which requires a more sophisticated model for the analysis, namely through the diffusion kurtosis imaging (DKI). Purpose of this narrative review was to analyze the current applications and clinical evidence regarding the use of DKI with a main focus on PCa detection, also in comparison with DWI.
Methods UNASSIGNED
This narrative review synthesized the findings of literature retrieved from main researches, narrative and systematic reviews, and meta-analyses obtained from PubMed.
Key Content and Findings UNASSIGNED
DKI analyses the non-Gaussian water diffusivity and describe the effect of signal intensity decay related to high b-value through two main metrics (D
Conclusions UNASSIGNED
DKI advantages, compared to conventional ADC analysis, still remain controversial. Wider application and greater technical knowledge of DKI, however, may help in proving its intrinsic validity in the field of oncology and therefore in the study of clinically significant PCa. Finally, a deep understanding of DKI is important for radiologists to better understand what K

Identifiants

pubmed: 38229839
doi: 10.21037/gs-23-53
pii: gs-12-12-1806
pmc: PMC10788566
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1806-1822

Informations de copyright

2023 Gland Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://gs.amegroups.com/article/view/10.21037/gs-23-53/coif). R.F. is an employee at Medical Oncology Division, Igea SpA. The other authors have no conflicts of interest to declare.

Auteurs

Pierpaolo Palumbo (P)

Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, L'Aquila, Italy.

Andrea Martinese (A)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.

Maria Rosaria Antenucci (MR)

Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.

Vincenza Granata (V)

Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy.

Roberta Fusco (R)

Medical Oncology Division, Igea SpA, Napoli, Italy.

Federica De Muzio (F)

Diagnostic Imaging Section, Department of Medical and Surgical Sciences & Neurosciences, University of Molise, Campobasso, Italy.

Maria Chiara Brunese (MC)

Diagnostic Imaging Section, Department of Medical and Surgical Sciences & Neurosciences, University of Molise, Campobasso, Italy.

Eleonora Bicci (E)

Department of Emergency Radiology, University Hospital Careggi, Florence, Italy.

Alessandra Bruno (A)

Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Ancona, Italy.
Department of Radiology, University Hospital "Azienda Ospedaliera Universitaria delle Marche", Ancona, Italy.

Federico Bruno (F)

Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, L'Aquila, Italy.

Andrea Giovagnoni (A)

Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Ancona, Italy.
Department of Radiology, University Hospital "Azienda Ospedaliera Universitaria delle Marche", Ancona, Italy.

Nicoletta Gandolfo (N)

Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, Genoa, Italy.
Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, Italy.

Vittorio Miele (V)

Department of Emergency Radiology, University Hospital Careggi, Florence, Italy.

Ernesto Di Cesare (E)

Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

Rosa Manetta (R)

Radiology Unit, San Salvatore Hospital, Abruzzo Health Unit 1, L'Aquila, Italy.
Prostate Unit, San Salvatore Hospital, Abruzzo Health Unit 1, L'Aquila, Italy.

Classifications MeSH