Diagnostic performance of susceptibility-weighted magnetic resonance imaging for the assessment of sub-coracoacromial spurs causing subacromial impingement syndrome

2016 ◽  
Vol 27 (3) ◽  
pp. 1286-1294 ◽  
Author(s):  
Dominik Nörenberg ◽  
Marco Armbruster ◽  
Yi-Na Bender ◽  
Thula Walter ◽  
Hans U. Ebersberger ◽  
...  
2021 ◽  
Vol 62 (6) ◽  
Author(s):  
Dang Bich Nguyet ◽  
Nguyen Tien Long ◽  
Bui Van Lenh ◽  
Nguyen Quang Trung

The retrospective study was performed on 45 patients with subacromial impingement syndrome who underwent magnetic resonance imaging (MRI) which then were compared with the results of their arthroscopy. Results: 95.2% out of the cases were found to have type II and III acromion morphology; 73.8% had subacromial enthesophyte spurs; 66.7% had subacromial bursitis; 97.6% showed lesions of supraspinatus tendons in which partial–thickness rotator cuff tear was the most commonly seen. MRI showed a sensitivity (Sn) of 91.6%, specificity (Sp) of 72.2%, positive predictive value (PPV) of 81.4%, negative predictive value (NPV) of 86.67% in diagnosing subacromial bursitis. For partial-thickness rotator cuff tear, it showed a Sn of 92.5%, Sp of 93.3%, PPV of 96.1%, NPV of 87.5%. In evaluation of full-thickness rotator cuff tear, MRI showed a Sn of 100% and Sp of 100%.


Author(s):  
Rasha Wessam Abdel Rahman ◽  
Reham Mohammed Abd ElHai Refaie ◽  
Rasha Mohammed Kamal ◽  
Shaimaa Farouk Lasheen ◽  
Dalia Salaheldin Elmesidy

Abstract Background Breast cancer is one of the leading causes of female morbidity and mortality. Management options vary between lesions of BIRADS categories 3 and 4. Therefore, reliable differentiation would improve outcome. Although sonomammography and contrast-enhanced breast magnetic resonance imaging (CE-MRI) remain the cornerstone for assessment of breast disease, additional, non-invasive techniques can be used to increase the efficiency of evaluation such as shear wave elastography (SWE) and diffusion-weighted magnetic resonance imaging (DW-MRI). This prospective study included 66 breast lesions that were categorized as BIRADS 3 or 4 by ultrasound ± mammography. All lesions were evaluated by SWE, CE-MRI and DW-MRI. For SWE, lesions were evaluated by both qualitative and quantitative methods. For CE-MRI, both morphological and kinematic evaluations were done and for DW-MRI, both qualitative and quantitative assessments were studied. Results of all imaging modalities were correlated to histopathology. Results Thirty-seven out of the examined 66 lesions (56.06%) were categorised as BIRADS 3, out of which 1 (2.7%) turned out to be malignant on histopathology and 36 (97.29%) were proved benign. Twenty-nine (43.93%) were categorized as BIRADS 4, out of which 2 (6.89%) turned out to be benign on pathology and 27 (93.1%) were proved malignant. Morphological and kinematic evaluations of CE-MRI showed 92.59% and 92.86%sensitivity, 94.74% and 84.21% specificity, 92.59 and 81.25%PPV, 94.74 and 94.12% NPV, and 93.85% and 87.88% accuracy respectively. Color-coded scoring of SWE showed indices of 89.29%, 68.42%, 67.57%, 89.66%, and 77.27% respectively. The calculated cut-off value for Emax differentiating benign from malignant was 65.15 kpa, resulting in indices of 96.43%, 57.89%, 95.65%, 62.79%, and 74.24% respectively. For Eratio, the calculated cut-off value was 4.55, resulting in indices of 71.43%, 68.42%, 76.47%, 62.50% and 69.70% respectively. For qualitative evaluation of DW-MRI, indices were 78.57%, 65.79%, 62.86%, 80.65%, and 71.21% respectively. For ADC, the calculated cut-off value was 1.25 × 103 mm2/s, which resulted in indices of 75.00%, 84.21%, 82.05%, 77.78%, and 80.30% respectively. Conclusion CE-MRI showed the best diagnostic performance indices. While, SWE and DW-MRI present variable diagnostic performance, both techniques can be used as an adjunct to other imaging modalities to aid the clinical decision and increase its diagnostic confidence.


ENT Updates ◽  
2018 ◽  
Author(s):  
A. Secil Kayalı Dinç ◽  
Lale Damgacı ◽  
Melih Çayönü ◽  
Deniz Sözmen Cılız ◽  
Süleyman Boynueğri ◽  
...  

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