« Back
Computer Aided-Detection of sacroiliitis on MRI with Dynamika: pilot study
Poster Title: Computer Aided-Detection of sacroiliitis on MRI with Dynamika: pilot study
Submitted on 14 Aug 2015
Author(s): Strouhal P1, Roettger D2, Hagoug R2, Kubassova O2
Affiliations: 1. Royal Wolverhampton NHS Trust 2. Image Analysis Ltd
This poster was presented at UKRC 2015
Poster Views: 2,107
View poster »

Poster Information
Abstract: Aims:
Sacroiliitis is difficult to diagnose and harder still to quantify or monitor response. Dynamika is a stand-alone, cloud-based software using complex algorithms to allow real-time, user-defined analysis of regions of interest (ROI)in 3D and allows quantification of signal intensity (and/or contrast enhancement) within these ROIs on scans. The ROI evaluation technique in simplest guise was used to evaluate isotope imaging as proof of principle but we aim to show similar/better success with this software on STIR MR images.

50 MRI and 30 bone scans were analysed to evaluate initial validity of Dynamika software, including some follow-up imaging - giving insight into how disease monitoring could be undertaken. This analysis was benchmarked against scintigraphy standard peak-trough algorithm analysis.

Potential to diagnose and grade disease and also monitor response with MRI, as well as show its superiority compared with bone scanning - though show utility of the software with bone scans also.

Positive Negative Total
Bone scan 5 25 30
MRI scan (visual) 13 37 50
MRI (+Dynamika) 21 29 50
Clinical picture 19 31 50

Quantitative assessment:
“Positivity” of result: visual v ‘score’
Score rating Mild/ Moderate/ Severe
MRI result 11 mild; 1 moderate; 1 severe
MRI Dynamika outcome 7 mild; 7 moderate, 7 severe
Dynamika clinical correlation 2 false positive, no false negative:
100% sens; 94% spec; NPV 100%

Patients can be quantitatively graded into mild, moderate or severe sacroiliitis with greatest reliability using MRI +Dynamika.

Needs validating in bigger studies but initial results of Dynamika software are promising and simple to reproduce in evaluating sacroiliitis, with some correlation between results and the clinical scenario in a way not applicable to bone scintigraphy without the penalty of ionising radiation or contract administration.
Summary: Computer Aided-Detection of sacroiliitis on MRI with Dynamika, a stand-alone, web-based ssoftware algorithm - how it compares with human perceptionReferences: 1. Bozkurt MF and Kiratli P. Quantitative sacroiliac scintigraphy for pediatric patients: comparison of two methods. Ann Nucl Med. 2014 Apr;28(3):227-31;
2. Tiwari BP and Basu S. Estimation of sacroiliac joint index in normal subjects of various age groups... Nucl Med Rev Cent East Eur. 2013;16(1):26 30;
3. Kubassova O, et al. A computer-aided detection system for rheumatoid arthritis MRI data interpretation and quantification of synovial activity. Eur J Radiol. 2010 Jun;74(3):e67-72;
4. Althoff CE et al. Magnetic resonance imaging of active sacroiliitis: do we really need gadolinium? Eur J Radiol. 2009 Aug;71(2):232-6
Report abuse »
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters

Bleeding Pseudoaneurysm in uncommon locations: interesting cases
Dr Joel James (SHO), Dr Chandni Patel (SpR) & Dr Shirish Prabhudesai (Consultant)

Appropriateness of MRCP use in a DGH
A Elawad, B Billimoria

Kashtwari D*, Alamoudi. A

Evaluation of the first 18 months of the ‘Abnormal GP Chest X-ray Straight to CT’ Pathway at Princess Alexandra Hospital (Harlow, Essex)
James K. Diss, Tamer Adem, Mark Gregory, Elena Stefan, Vijay Jayaram, Sridhar Redla, Sandra Dimmock

“Incidence of Occult Malignancy Diagnosed in Patients With Unprovoked Pulmonary Embolism” 
Dr Fatma Eminaga, Dr Reema Akhter, Dr Sridhar Radla