Diagnostic value of diffusion-weighted magnetic resonance imaging in pelvic abscesses.

J Comput Assist Tomogr

From the *Department of Radiology, Hôpital Robert Debré, Reims; †Department of Radiology, Hôpital Lariboisière, Paris; and Departments of ‡Statistics and §Obstetrics and Gynaecology, Hôpital Robert Debré, Reims, France.

Published: January 2014

Objective: The objective of this study was to prospectively assess the added value of gadolinium-enhanced and diffusion-weighted (DWI) magnetic resonance imaging (MRI) to pelvic T2-weighted MRI for diagnosis of deep pelvic abscesses.

Methods: Twenty-nine patients with suspected abscess and a control group of 43 patients underwent T2-weighted, gadolinium-enhanced, T1-weighted and DWI magnetic resonance sequences. Three readers (R1, R2, R3) scored likelihood of abscess on standard MRI, standard MRI + gadolinium, and standard MRI + DWI.

Results: Twenty-nine patients had 36 abscesses. On standard MRI, R1 achieved area under the receiver operating characteristic (ROC) curve (AUC) of 0.97, sensitivity 92%, and specificity 100%. For R2, these figures were 0.87, 81%, and 100%, and for R3, these were 0.85, 83%, and 79%. After gadolinium, R2 improved AUC to 0.97 (P = 0.005), and R3 to 0.95 (P = 0.006). Standard MRI + DWI yielded improved AUC for all readers (P = 0.15, 0.001, and 0.001 for R1, R2, R3, respectively).

Conclusions: Addition of gadolinium or DWI to T2-weighted MRI improves performances for the diagnosis of deep pelvic abscess. Diffusion-weighted imaging may replace gadolinium.

Download full-text PDF

Source
http://dx.doi.org/10.1097/RCT.0b013e31828bea16DOI Listing

Publication Analysis

Top Keywords

standard mri
20
magnetic resonance
12
resonance imaging
8
dwi magnetic
8
mri
8
t2-weighted mri
8
diagnosis deep
8
deep pelvic
8
twenty-nine patients
8
auc 097
8

Similar Publications

Background: Cervical cancer is considered one of the most common gynecological malignancies with an increased incidence in developing countries. Magnetic resonance imaging (MRI) plays a valuable role in staging cervical cancer and providing valuable information necessary for selecting the appropriate treatment plan, while closely correlating with the prognosis of the patient.

Objective: The aim of this study is to assess the diagnostic value of diffusion-weighted imaging (DWI) in the preoperative loco-regional staging of cervical carcinoma.

View Article and Find Full Text PDF

Background: Low anterior resection (LAR) is the gold standard for curative cancer treatment in the middle and upper rectum. In radically operated patients, the local recurrence rates with total mesorectal excision (TME) after 5 and 10 years was<10%, with 80% in 5 years survival. Anastomotic leakage (AL) affects 4%-20% of patients who underwent LAR.

View Article and Find Full Text PDF

Introduction: The megalencephaly capillary malformation polymicrogyria (MCAP syndrome) results from mosaic gain-of-function variants. The main clinical features are macrocephaly, somatic overgrowth, neurodevelopmental delay and brain anomalies. Alpelisib (Vijoice) is a recently FDA-approved PI3Kα-specific inhibitor for patients with PIK3CA-related overgrowth spectrum (PROS).

View Article and Find Full Text PDF

Introduction: Despite the implementation of mechanical thrombectomy, acute ischaemic stroke with large vessel occlusion (AIS-LVO) remains a significant health concern, characterised by substantial morbidity and mortality. Our trial aims to evaluate the efficacy and safety of minocycline in reducing infarct volume and improving functional outcomes in patients undergoing mechanical thrombectomy for anterior circulation AIS-LVO.

Methods And Analysis: The MIST-A trial is a prospective, randomised, open-label, blinded-endpoint trial to be conducted across 12 medical centres.

View Article and Find Full Text PDF

Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction.

BMC Med Imaging

January 2025

Department of Magnetic Resonance Imaging, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.

Background: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise and resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate scan time without compromising image quality.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!