1
|
Breiding PS, Gomollon AMT, Martini K, Nakhostin D, Alkadhi H, Euler A. Photon-Counting Detector CT for Kidney Stone Detection in Excretory Phase CT-Comparison Between Virtual Non-contrast and Virtual Non-iodine Reconstructions in a 3D Printed Kidney Phantom. Acad Radiol 2024:S1076-6332(24)00209-5. [PMID: 38641450 DOI: 10.1016/j.acra.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 03/24/2024] [Accepted: 04/04/2024] [Indexed: 04/21/2024]
Abstract
RATIONALE AND OBJECTIVES To evaluate and compare the effectiveness of contrast media subtraction and kidney stone detection between a virtual non-iodine reconstruction algorithm (VNI; PureCalcium) and a virtual non-contrast (VNC) algorithm in excretory phase photon-counting detector computed tomography (PCD-CT), using a 3D printed kidney phantom under various tube voltages and radiation doses. MATERIALS AND METHODS A 3D-printed kidney phantom, holding Calcium Oxalate (CaOx) and uric acid stones within contrast-enhanced calyces, was created. The calyx density mirrored the average density observed in 200 excretory phase patients (916 HU at 110 kV). Imaging was conducted on a clinical dual-source PCD-CT at 120 kV and 140 kV, with radiation doses set at 5, 10, and 15 mGy. VNI and VNC algorithms were applied. Two blinded readers evaluated the image quality, along with the degree of contrast media and kidney stone subtraction, using visual scales. Krippendorff's alpha was calculated to determine inter-reader agreement, and the Chi-squared test was employed for comparing ordinal data. RESULTS Reader 2 rated overall image quality higher for VNI than VNC (4.90 vs. 4.00; P < .05), while Reader 1 found no significant difference (4.96 vs. 5.00; P > .05). Substantial agreement was observed between readers for contrast media subtraction in both VNC and VNI (Krippendorff's alpha range: 0.628-0.748). Incomplete contrast media subtraction occurred more frequently with VNI for both readers (Reader 1: 29% vs. 15%; P < .05; Reader 2: 24% vs. 20%; P > .05). Uric acid and smaller stones (<5 mm) were more likely to be subtracted than CaOx and larger stones in both VNC and VNI. Overall, a higher rate of stone subtraction was noted with VNI compared to VNC (Reader 1: 22% vs. 16%; Reader 2: 25% vs. 10%; P < .05). Neither radiation dose nor tube voltage significantly influenced stone subtraction (P > .05). CONCLUSION VNC demonstrated greater accuracy than VNI for contrast media subtraction and kidney stone visibility. Radiation dose and tube voltage had no significant impact. Nonetheless, both algorithms still exhibited frequent incomplete contrast media subtraction and partial kidney stone subtraction.
Collapse
Affiliation(s)
- Philipe S Breiding
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Ana Maria Turrion Gomollon
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Katharina Martini
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Dominik Nakhostin
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - André Euler
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Radiology, Kantonsspital Baden, Baden, Switzerland.
| |
Collapse
|
2
|
Jung G, Breiding PS, Schmitz-Rixen T, Hakimi M. [Pelvic vein thrombosis : Current treatment options and importance of recanalization procedures]. Chirurgie (Heidelb) 2024; 95:87-98. [PMID: 37792045 DOI: 10.1007/s00104-023-01964-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/09/2023] [Indexed: 10/05/2023]
Abstract
Venous thrombosis is a frequent disorder. A distinction is made between an acute phase of the disease and a chronic manifestation, the postthrombotic syndrome. In particular, proximal venous thrombosis/pelvic vein thrombosis can cause a life-threatening pulmonary embolism during the acute phase of the disease. The postthrombotic syndrome is characterized by the remodeling of the affected venous section, which is often caused by inflammation. Locally, the typical clinical finding is caused by scarred stricture of the vein with restricted drainage and peripheral venous hypertension. Acute thrombosis should be primarily treated by therapeutic anticoagulation and compression therapy of the affected extremity. The duration of these measures depends on clinical presentation, cause (provoked, unprovoked) and risk factors for venous thrombosis/recurrent thrombosis. Venous revascularization procedures are important both in the acute phase of the disease and in the treatment of postthrombotic syndrome. The recanalization treatment is mostly carried out as an endovascular or hybrid intervention and venous bypass procedures are reserved for special situations.
Collapse
Affiliation(s)
- G Jung
- Klinik für Gefässchirurgie, Luzerner Kantonsspital, Spitalstr., 6000, Luzern 16, Schweiz.
| | - P S Breiding
- Radiologie, Sektion interventionelle Radiologie, Luzerner Kantonsspital, Spitalstr., 6000, Luzern 16, Schweiz
| | - T Schmitz-Rixen
- Deutsche Gesellschaft für Chirurgie, Luisenstr. 58-58, 10117, Berlin, Deutschland
| | - M Hakimi
- Klinik für Gefässchirurgie, Luzerner Kantonsspital, Spitalstr., 6000, Luzern 16, Schweiz
| |
Collapse
|
3
|
Kellner-Weldon F, Jossen M, Breiding PS, Grunder L, Schankin C, Scutelnic A, Fischer U, Muri R, Pastore-Wapp M, Wiest R, El-Koussy M. Imaging Neurovascular Uncoupling in Acute Migraine with Aura with Susceptibility Weighted Imaging. Clin Neuroradiol 2020; 31:581-588. [PMID: 33001228 DOI: 10.1007/s00062-020-00962-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 09/02/2020] [Indexed: 01/03/2023]
Abstract
PURPOSE Migraine with aura (MwA) in the emergency setting is common and sometimes difficult to distinguish from mimicking conditions. Susceptibility weighted imaging (SWI), a magnet resonance (MR) technique is sensitive to deoxygenated hemoglobin in cerebral veins and depicts these according to their level of oxygenation. Our study aimed at evaluating the frequency of regions of prominent focal veins (PFV) on SWI in the acute phase. METHODS Between 2011 and 2018 we evaluated symptoms and MR imaging of adult patients with acute MwA attacks (< 5 days after onset of symptoms). Abnormal imaging was visually scored in 12 ROIs on both hemispheres distributed on 3 slices. The score ranged from 0 to 3. RESULTS In all, 638 patients (436 female) mean age 37.39 years (18-89 ± 14.13) were included. Susceptibility weighted imaging was abnormal in 18.8% of patients. The inferior and posterior medial temporal lobe and the occipital lobe were most often affected. Susceptibility weighted imaging was more likely abnormal when MR was performed within 24 hours with an average around 5 hours after symptom onset. The side of aura symptoms and hemispheric imaging alteration in patients with abnormal SWI was highly significant (p < 0.001). CONCLUSION In the acute episode of MwA, SWI imaging can show a combination of increased deoxygenation. The results may indicate linking PFV to MwA.
Collapse
Affiliation(s)
- Frauke Kellner-Weldon
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. .,Department of Radiology and Nuclear Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland.
| | - Marina Jossen
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Philipe S Breiding
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Lorenz Grunder
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christoph Schankin
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian Scutelnic
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Urs Fischer
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Raphaela Muri
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Manuela Pastore-Wapp
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Marwan El-Koussy
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| |
Collapse
|
4
|
Slavova N, Fullerton HJ, Hills NK, Breiding PS, Mackay MT, Steinlin M. Validation of the focal cerebral arteriopathy severity score (FCASS) in a Swiss cohort: Correlation with infarct volume and outcome. Eur J Paediatr Neurol 2020; 28:58-63. [PMID: 32826156 DOI: 10.1016/j.ejpn.2020.07.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 06/09/2020] [Accepted: 07/27/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Focal cerebral arteriopathy (FCA), a major cause of childhood arterial ischemic stroke (AIS), can progress and lead to increased infarct size and/or recurrent stroke. Evaluating treatment options depends on the ability to quantify reliably the degree of stenosis in FCA. AIMS We validated the recently introduced FCA severity score (FCASS) in an independent cohort from the Swiss Neuro-Paediatric Stroke Registry (SNPSR). MATERIALS AND METHODS We included children with FCA who had MR or CT angiography and a Pediatric Stroke Outcome Measure (PSOM) at 6-months and 2-years post-stroke. A paediatric neuroradiologist applied the FCASS and the modified pediatric Alberta Stroke Program Early Computed Tomography Score (ASPECTS), a measure of infarct volume, to all available imaging. Two senior paediatric stroke neurologists and a neuroradiology fellow independently assigned FCASS scores to test interrater reliability. Pairwise correlations between FCASS, pedASPECTS, and PSOM were examined. RESULTS Thirty-two children [median (IQR) age = 5.9 (1.8, 9.6), 19 males] were included. The median maximum FCASS score at any time was 9 (IQR 6, 12; range 3, 16). Larger infarct volume scores correlated with both higher maximum FCASS scores and worse post-stroke outcomes, although we found no direct correlation between FCASS and outcomes. Stroke neurologists tended to assign lower FCASS scores than the neuroradiologist, but interrater reliability was predominantly good. CONCLUSIONS In this independent validation cohort, higher maximum FCASS correlated with greater infarct volume scores that also correlated with worse neurological outcomes. Scoring by non-imaging specialists seems to be valuable, although differences are present.
Collapse
Affiliation(s)
- Nedelina Slavova
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Inselspital, and University of Bern, Switzerland; Department of Interventional, Pediatric and Diagnostic Radiology, Inselspital, University Hospital, and University of Bern, Switzerland.
| | | | - Nancy K Hills
- Department of Neurology, University of California, San Francisco, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Philipe S Breiding
- Department of Diagnostic and Interventional Radiology, Kantonsspital Frauenfeld, Switzerland
| | - Mark T Mackay
- Royal Children's Hospital and Murdoch Children's Research Institute, University of Melbourne, Australia
| | - Maja Steinlin
- Division of Neuropaediatrics, University Hospital Inselspital, and University of Bern, Switzerland
| |
Collapse
|
5
|
Dobrocky T, Winklehner A, Breiding PS, Grunder L, Peschi G, Häni L, Mosimann PJ, Branca M, Kaesmacher J, Mordasini P, Raabe A, Ulrich CT, Beck J, Gralla J, Piechowiak EI. Spine MRI in Spontaneous Intracranial Hypotension for CSF Leak Detection: Nonsuperiority of Intrathecal Gadolinium to Heavily T2-Weighted Fat-Saturated Sequences. AJNR Am J Neuroradiol 2020; 41:1309-1315. [PMID: 32554417 DOI: 10.3174/ajnr.a6592] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 04/06/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Spine MR imaging plays a pivotal role in the diagnostic work-up of spontaneous intracranial hypotension. The aim of this study was to compare the diagnostic accuracy of unenhanced spine MR imaging and intrathecal gadolinium-enhanced spine MR imaging for identification and localization of CSF leaks in patients with spontaneous intracranial hypotension. MATERIALS AND METHODS A retrospective study of patients with spontaneous intracranial hypotension examined from February 2013 to October 2017 was conducted. Their spine MR imaging was reviewed by 3 blinded readers for the presence of epidural CSF using 3 different sequences (T2WI, 3D T2WI fat-saturated, T1WI gadolinium). In patients with leaks, the presumed level of the leak was reported. RESULTS In total, 103 patients with spontaneous intracranial hypotension (63/103 [61%] women; mean age, 50 years) were evaluated. Seventy had a confirmed CSF leak (57/70 [81%] proved intraoperatively), and 33 showed no epidural CSF on multimodal imaging. Intrathecal gadolinium-enhanced spine MR imaging was nonsuperior to unenhanced spine MR imaging for the detection of epidural CSF (P = .24 and .97). All MR imaging sequences had a low accuracy for leak localization. In all patients, only 1 leakage point was present, albeit multiple suspicious lesions were reported in all sequences (mean, 5.0). CONCLUSIONS Intrathecal gadolinium-enhanced spine MR imaging does not improve the diagnostic accuracy for the detection of epidural CSF. Thus, it lacks a rationale to be included in the routine spontaneous intracranial hypotension work-up. Heavily T2-weighted images with fat saturation provide high accuracy for the detection of an epidural CSF collection. Low accuracy for leak localization is due to an extensive CSF collection spanning several vertebrae (false localizing sign), lack of temporal resolution, and a multiplicity of suspicious lesions, albeit only a single leakage site is present. Thus, dynamic examination is mandatory before targeted treatment is initiated.
Collapse
Affiliation(s)
- T Dobrocky
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| | - A Winklehner
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| | - P S Breiding
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| | - L Grunder
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| | - G Peschi
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
- Department of Interventional, Pediatric, and Diagnostic Radiology (G.P., J.K.)
| | - L Häni
- Neurosurgery (L.H., A.R., C.T.U., J.B.), University of Bern, Inselspital, Bern, Switzerland
| | - P J Mosimann
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| | - M Branca
- Clinical Trials Unit (M.B.), University of Bern, Bern, Switzerland
| | - J Kaesmacher
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
- Department of Interventional, Pediatric, and Diagnostic Radiology (G.P., J.K.)
| | - P Mordasini
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| | - A Raabe
- Neurosurgery (L.H., A.R., C.T.U., J.B.), University of Bern, Inselspital, Bern, Switzerland
| | - C T Ulrich
- Neurosurgery (L.H., A.R., C.T.U., J.B.), University of Bern, Inselspital, Bern, Switzerland
| | - J Beck
- Neurosurgery (L.H., A.R., C.T.U., J.B.), University of Bern, Inselspital, Bern, Switzerland
- Department of Neurosurgery (J.B.), Medical Center, University of Freiburg, Freiburg, Germany
| | - J Gralla
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| | - E I Piechowiak
- From the University Institute of Diagnostic and Interventional Neuroradiology (T.D., A.W., P.S.B., L.G., G.P., P.J.M., J.K., P.M., J.G., E.I.P.)
| |
Collapse
|
6
|
Dobrocky T, Grunder L, Breiding PS, Branca M, Limacher A, Mosimann PJ, Mordasini P, Zibold F, Haeni L, Jesse CM, Fung C, Raabe A, Ulrich CT, Gralla J, Beck J, Piechowiak EI. Assessing Spinal Cerebrospinal Fluid Leaks in Spontaneous Intracranial Hypotension With a Scoring System Based on Brain Magnetic Resonance Imaging Findings. JAMA Neurol 2020; 76:580-587. [PMID: 30776059 DOI: 10.1001/jamaneurol.2018.4921] [Citation(s) in RCA: 118] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance Various signs may be observed on brain magnetic resonance imaging (MRI) in patients with spontaneous intracranial hypotension (SIH). However, the lack of a classification system integrating these findings limits decision making in clinical practice. Objective To develop a probability score based on the most relevant brain MRI findings to assess the likelihood of an underlying spinal cerebrospinal fluid (CSF) leak in patients with SIH. Design, Setting, and Participants This case-control study in consecutive patients investigated for SIH was conducted at a single hospital department from February 2013 to October 2017. Patients with missing brain MRI data were excluded. Three blinded readers retrospectively reviewed the brain MRI scans of patients with SIH and a spinal CSF leak, patients with orthostatic headache without a CSF leak, and healthy control participants, evaluating 9 quantitative and 7 qualitative signs. A predictive diagnostic score based on multivariable backward logistic regression analysis was then derived. Its performance was validated internally in a prospective cohort of patients who had clinical suspicion for SIH. Main Outcomes and Measures Likelihood of a spinal CSF leak based on the proposed diagnostic score. Results A total of 152 participants (101 female [66.4%]; mean [SD] age, 46.1 [14.3] years) were studied. These included 56 with SIH and a spinal CSF leak, 16 with orthostatic headache without a CSF leak, 60 control participants, and 20 patients in the validation cohort. Six imaging findings were included in the final scoring system. Three were weighted as major (2 points each): pachymeningeal enhancement, engorgement of venous sinus, and effacement of the suprasellar cistern of 4.0 mm or less. Three were considered minor (1 point each): subdural fluid collection, effacement of the prepontine cistern of 5.0 mm or less, and mamillopontine distance of 6.5 mm or less. Patients were classified into groups at low, intermediate, or high probability of having a spinal CSF leak, with total scores of 2 points or fewer, 3 to 4 points, and 5 points or more, respectively, on a scale of 9 points. The discriminatory ability of the proposed score could be demonstrated in the validation cohort. Conclusions and Relevance This 3-tier predictive scoring system is based on the 6 most relevant brain MRI findings and allows assessment of the likelihood (low, intermediate, or high) of a positive spinal imaging result in patients with SIH. It may be useful in identifying patients with SIH who are leak positive and in whom further invasive myelographic examinations are warranted before considering targeted therapy.
Collapse
Affiliation(s)
- Tomas Dobrocky
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| | - Lorenz Grunder
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| | - Philipe S Breiding
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| | - Mattia Branca
- Clinical Trials Unit Bern, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Andreas Limacher
- Clinical Trials Unit Bern, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Pascal J Mosimann
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| | - Pasquale Mordasini
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| | - Felix Zibold
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| | - Levin Haeni
- Department of Neurosurgery, University of Bern, Inselspital, Bern, Switzerland
| | - Christopher M Jesse
- Department of Neurosurgery, University of Bern, Inselspital, Bern, Switzerland
| | - Christian Fung
- Department of Neurosurgery, University of Bern, Inselspital, Bern, Switzerland.,Department of Neurosurgery, Medical Center-University of Freiburg, Freiburg, Germany
| | - Andreas Raabe
- Department of Neurosurgery, University of Bern, Inselspital, Bern, Switzerland
| | - Christian T Ulrich
- Department of Neurosurgery, University of Bern, Inselspital, Bern, Switzerland
| | - Jan Gralla
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| | - Jürgen Beck
- Department of Neurosurgery, University of Bern, Inselspital, Bern, Switzerland.,Department of Neurosurgery, Medical Center-University of Freiburg, Freiburg, Germany
| | - Eike I Piechowiak
- University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern, Switzerland
| |
Collapse
|
7
|
Breiding PS, Duerrenmatt JT, Meinel FG, Carrel T, Schönhoff F, Zibold F, Kaesmacher J, Gralla J, Pilgrim T, Jung S, Fischer U, Arnold M, Meinel TR. Prevalence and Evolution of Susceptibility-Weighted Imaging Lesions in Patients With Artificial Heart Valves. J Am Heart Assoc 2019; 8:e012814. [PMID: 31379252 PMCID: PMC6761656 DOI: 10.1161/jaha.119.012814] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background In patients with mechanical heart valves, cerebral susceptibility‐weighted imaging (SWI) lesions on magnetic resonance imaging, postulated to be caused by degenerative metallic abrasion, are frequently referred to as valve abrasion. It remains unclear whether valve implantation not requiring cardiopulmonary bypass or biological heart valves also shows those lesions. Methods and Results Two blinded readers rated SWI lesions and cerebral amyloid angiopathy probability according to established criteria on brain magnetic resonance imaging pre‐ and postinterventionally. We assessed the association between valve type/cardiopulmonary bypass use and SWI lesion count on the first postinterventional scan using multivariable logistic regression. On postinterventional magnetic resonance imaging, 57/58 (98%) patients with mechanical heart valves had at least 1 and 46/58 (79%) 3 or more SWI lesions, while 92/97 (95%) patients with biological heart valves had at least 1 and 72/97 (74%) 3 or more SWI lesions. On multivariate analysis, duration of cardiopulmonary bypass during implantation significantly increased the odds of having SWI lesions on the first postinterventional magnetic resonance imaging (β per 10 minutes 0.498; 95% CI, 0.116–0.880; P=0.011), whereas valve type showed no significant association (P=0.338). Thirty‐seven of 155 (23.9%) patients fulfilled the criteria of possible/probable cerebral amyloid angiopathy. Conclusions SWI lesions in patients with artificial heart valves evolve around the time point of valve implantation and the majority of patients had multiple lesions. The missing association with the valve type weakens the hypothesis of degenerative metallic abrasion and highlights cardiopulmonary bypass as the main risk factor for SWI occurrence. SWI lesions associated with cardiac procedures can mimic cerebral amyloid angiopathy. Further research needs to clarify whether those lesions are associated with intracranial hemorrhage after intravenous thrombolysis or anticoagulation.
Collapse
Affiliation(s)
- Philipe S Breiding
- University Institute of Diagnostic and Interventional Neuroradiology University Hospital Bern Inselspital University of Bern Switzerland
| | - Jana T Duerrenmatt
- Department of Neurology University Hospital Bern Inselspital University of Bern Switzerland
| | - Felix G Meinel
- Institute of Diagnostic and Interventional Radiology Rostock University Medical Center Rostock Germany
| | - Thierry Carrel
- Department of Cardiothoracic Surgery University Hospital Bern Inselspital University of Bern Switzerland
| | - Florian Schönhoff
- Department of Cardiothoracic Surgery University Hospital Bern Inselspital University of Bern Switzerland
| | - Felix Zibold
- University Institute of Diagnostic and Interventional Neuroradiology University Hospital Bern Inselspital University of Bern Switzerland
| | - Johannes Kaesmacher
- University Institute of Diagnostic and Interventional Neuroradiology University Hospital Bern Inselspital University of Bern Switzerland.,Department of Neurology University Hospital Bern Inselspital University of Bern Switzerland.,Institute of Diagnostic, Interventional and Pediatric Radiology University Hospital Bern Inselspital University of Bern Switzerland
| | - Jan Gralla
- University Institute of Diagnostic and Interventional Neuroradiology University Hospital Bern Inselspital University of Bern Switzerland
| | - Thomas Pilgrim
- Department of Cardiology University Hospital Bern Inselspital University of Bern Switzerland
| | - Simon Jung
- Department of Neurology University Hospital Bern Inselspital University of Bern Switzerland
| | - Urs Fischer
- Department of Neurology University Hospital Bern Inselspital University of Bern Switzerland
| | - Marcel Arnold
- Department of Neurology University Hospital Bern Inselspital University of Bern Switzerland
| | - Thomas R Meinel
- Department of Neurology University Hospital Bern Inselspital University of Bern Switzerland
| |
Collapse
|