Optimized Breath-Hold Compressed-Sensing 3D MR Cholangiopancreatography at 3T : Image Quality Analysis and Clinical Feasibility Assessment

Magnetic resonance cholangiopancreatography (MRCP) has been widely used in clinical practice, and recently developed compressed-sensing accelerated MRCP (CS-MRCP) has shown great potential in shortening the acquisition time. The purpose of this prospective study was to evaluate the clinical feasibility and image quality of optimized breath-hold CS-MRCP (BH-CS-MRCP) and conventional navigator-triggered MRCP. Data from 124 consecutive patients with suspected pancreaticobiliary diseases were analyzed by two radiologists using a five-point Likert-type scale. Communication between a cyst and the pancreatic duct (PD) was analyzed. Signal-to-noise ratio (SNR) of the common bile duct (CBD), contrast ratio between the CBD and periductal tissue, and contrast-to-noise ratio (CNR) of the CBD and liver were measured. Optimized BH-CS-MRCP showed significantly fewer artifacts with better background suppression and overall image quality. Optimized BH-CS-MRCP demonstrated communication between a cyst and the PD better than conventional MRCP (96.7% vs. 76.7%, p = 0.048). SNR, contrast ratio, and CNR were significantly higher with optimized BH-CS-MRCP (p < 0.001). Optimized BH-CS-MRCP showed comparable or even better image quality than conventional MRCP, with improved visualization of communication between a cyst and the PD.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Diagnostics (Basel, Switzerland) - 10(2020), 6 vom: 05. Juni

Sprache:

Englisch

Beteiligte Personen:

Song, Ji Soo [VerfasserIn]
Kim, Seung Hun [VerfasserIn]
Kuehn, Bernd [VerfasserIn]
Paek, Mun Young [VerfasserIn]

Links:

Volltext

Themen:

Breath-holding
Cholangiopancreatography
Data compression
Imaging
Journal Article
Magnetic resonance
Magnetic resonance imaging
Three-dimensional

Anmerkungen:

Date Revised 28.09.2020

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/diagnostics10060376

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM310964865