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Saake M, Seuß H, Riexinger A, Bickelhaupt S, Hammon M, Uder M, Laun FB. Image Quality and Detection of Small Focal Liver Lesions in Diffusion-Weighted Imaging: Comparison of Navigator Tracking and Free-Breathing Acquisition. Invest Radiol 2021; 56:579-590. [PMID: 33813572 DOI: 10.1097/rli.0000000000000776] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVES The aim of this study was to compare intraindividual diffusion-weighted imaging (DWI) of the liver acquired with free breathing (FB) versus navigator triggering (NT) for assessing small focal liver lesions (FLLs) in noncirrhotic patients. MATERIALS AND METHODS Patients with known or suspected multiple FLLs were prospectively included, and spin-echo echo-planar DWI with NT and FB acquisition was performed (b-values, 50 and 800 s/mm2 [b50 and b800]). NT and FB DWI sequences with similar acquisitions times were used. Liver and lesion signal-to-noise ratios were measured at b800. The DWI scans were analyzed independently by 2 readers. Liver edge delineation, presence of stair-step artifacts, vessel sharpness, severity of cardiac motion artifacts, overall image quality, and lesion conspicuity were rated with 5-point Likert scales. Small and large FLLs (ie, <1 cm or ≥1 cm) were rated separately for lesion conspicuity. The FLL detectability was estimated by comparing the number of lesions visible with FB to those visible with NT. RESULTS Forty-three patients were included in the study. The FB acquisition performed better in terms of severity of cardiac motion artifacts. The NT performed better in terms of liver edge delineation and vessel sharpness. Little difference was found for stair-step artifact, overall image quality, and conspicuity of large FLL, whereas the conspicuity of small FLL was better for NT. For small FLL, both readers found more lesions with NT in 11 cases at b800. For large FLL, this effect was much less pronounced (1 case at b800 reported by 1 of the readers). The mean liver and lesion signal-to-noise ratios were 16.8/41.5 and 19.8/38.4 for NT/FB, respectively. CONCLUSIONS Small FLL detection is better with NT. Large FLL detection by FB and NT is similarly good. We conclude that NT should be used.
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Affiliation(s)
- Marc Saake
- From the Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen
| | | | - Andreas Riexinger
- From the Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen
| | - Sebastian Bickelhaupt
- From the Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen
| | - Matthias Hammon
- From the Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen
| | - Michael Uder
- From the Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen
| | - Frederik B Laun
- From the Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen
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Keck B, Borkowetz A, Poellmann J, Jansen T, Fischer M, Fuessel S, Kahlmeyer A, Wirth M, Huber J, Cavallaro A, Hammon M, Platzek I, Hartmann A, Baretton G, Kunath F, Sikic D, Taubert H, Wullich B, Erdmann K, Wach S. Serum miRNAs Support the Indication for MRI-Ultrasound Fusion-Guided Biopsy of the Prostate in Patients with Low-PI-RADS Lesions. Cells 2021; 10:cells10061315. [PMID: 34070529 PMCID: PMC8226644 DOI: 10.3390/cells10061315] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 01/30/2023] Open
Abstract
Multiparametric MRI (mpMRI) and targeted biopsy of the prostate enhance the tumor detection rate. However, the prediction of clinically significant prostate cancer (PCa) is still limited. Our study tested the additional value of serum levels of selected miRNAs in combination with clinical and mpMRI information for PCa prediction and classification. A total of 289 patients underwent targeted mpMRI-ultrasound fusion-guided prostate biopsy complemented by systematic biopsy. Serum miRNA levels of miRNAs (miR-141, miR-375, miR-21-5p, miR-320b, miR-210-3p, let-7c, and miR-486) were determined by quantitative PCR. Detection of any PCa and of significant PCa were the outcome variables. The patient age, pre-biopsy PSA level, previous biopsy procedure, PI-RADS score, and serum miRNA levels were covariates for regularized binary logistic regression models. The addition of miRNA expression of miR-486 and let-7c to the baseline model, containing only clinical parameters, increased the predictive accuracy. Particularly in patients with PI-RADS ≤3, we determined a sensitivity for detecting significant PCa (Gleason score ≥ 7a corresponding to Grade group ≥2) of 95.2%, and an NPV for absence of significant PCa of 97.1%. This accuracy could be useful to support patient counseling in selected cases.
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Affiliation(s)
- Bastian Keck
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
| | - Angelika Borkowetz
- Department of Urology, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (A.B.); (S.F.); (M.W.); (J.H.); (K.E.)
| | - Julia Poellmann
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
| | - Thilo Jansen
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
| | - Moritz Fischer
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
| | - Susanne Fuessel
- Department of Urology, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (A.B.); (S.F.); (M.W.); (J.H.); (K.E.)
- Member of the Association of Scientists in Urological Research (UroFors) of the German Society of Urology, Martin-Buber-Straße 10, 14163 Berlin, Germany
| | - Andreas Kahlmeyer
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
| | - Manfred Wirth
- Department of Urology, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (A.B.); (S.F.); (M.W.); (J.H.); (K.E.)
| | - Johannes Huber
- Department of Urology, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (A.B.); (S.F.); (M.W.); (J.H.); (K.E.)
| | - Alexander Cavallaro
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany;
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany;
| | - Ivan Platzek
- Department of Radiology and Interventional Radiology, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany;
| | - Arndt Hartmann
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
- Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 8-10, 91054 Erlangen, Germany
| | - Gustavo Baretton
- Institute of Pathology, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany;
| | - Frank Kunath
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
| | - Danijel Sikic
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
| | - Helge Taubert
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
- Correspondence: ; Tel.: +49-9131-8542658; Fax: +49-9131-8523374
| | - Bernd Wullich
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
| | - Kati Erdmann
- Department of Urology, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (A.B.); (S.F.); (M.W.); (J.H.); (K.E.)
- Member of the Association of Scientists in Urological Research (UroFors) of the German Society of Urology, Martin-Buber-Straße 10, 14163 Berlin, Germany
- National Center for Tumor Diseases (NCT), Fetscherstrasse 74, 01307 Dresden, Germany
| | - Sven Wach
- Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; (B.K.); (J.P.); (T.J.); (M.F.); (A.K.); (F.K.); (D.S.); (B.W.); (S.W.)
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Östliche Stadtmauerstrasse 30, 91054 Erlangen, Germany; (A.C.); (A.H.)
- Member of the Association of Scientists in Urological Research (UroFors) of the German Society of Urology, Martin-Buber-Straße 10, 14163 Berlin, Germany
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Wetzl M, May MS, Weinmann D, Hammon M, Kopp M, Ruppel R, Trollmann R, Woelfle J, Uder M, Rompel O. Potential for Radiation Dose Reduction in Dual-Source Computed Tomography of the Lung in the Pediatric and Adolescent Population Compared to Digital Radiography. Diagnostics (Basel) 2021; 11:diagnostics11020270. [PMID: 33578643 PMCID: PMC7916398 DOI: 10.3390/diagnostics11020270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 02/01/2021] [Accepted: 02/05/2021] [Indexed: 12/12/2022] Open
Abstract
Low-dose dual-source computed tomography (DSCT) protocols for the evaluation of lung diseases in children and adolescents are of importance since this age group is particularly prone to radiation damage. The aim of this study was to evaluate image quality of low-dose DSCT of the lung and to assess the potential of radiation dose reduction compared to digital radiographs (DR). Three groups, each consisting of 19 patients, were examined with different DSCT protocols using tin prefiltration (Sn96/64/32 ref. mAs at 100 kV). Different strengths of iterative reconstruction were applied (ADMIRE 2/3/4). DSCT groups were compared to 19 matched patients examined with posterior–anterior DR. Diagnostic confidence, detectability of anatomical structures and small lung lesions were evaluated on a 4-point Likert scale (LS 1 = unacceptable, 4 = fully acceptable; a value ≥ 3 was considered acceptable). Effective dose (ED) was 31-/21-/9-fold higher in Sn96/Sn64/Sn32 compared to DR. Diagnostic confidence was sufficient in Sn96/Sn64 (LS 3.4/3.2), reduced in Sn32 (LS 2.7) and the worst in DR (LS 2.4). In DSCT, detectability of small anatomical structures was always superior to DR (p < 0.05). Mean lesion size ranged from 5.1–7 mm; detectability was acceptable in all DSCT groups (LS 3.0–3.4) and superior to DR (LS 1.9; p < 0.05). Substantial dose lowering in DSCT of the pediatric lung enables acceptable detectability of small lung lesions with a radiation dose being about 10-fold higher compared to DR.
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Affiliation(s)
- Matthias Wetzl
- Department of Radiology, University Hospital Erlangen, 91054 Erlangen, Germany; (M.S.M.); (D.W.); (M.H.); (M.K.); (M.U.); (O.R.)
- Correspondence:
| | - Matthias Stefan May
- Department of Radiology, University Hospital Erlangen, 91054 Erlangen, Germany; (M.S.M.); (D.W.); (M.H.); (M.K.); (M.U.); (O.R.)
- Imaging Science Institute, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Daniel Weinmann
- Department of Radiology, University Hospital Erlangen, 91054 Erlangen, Germany; (M.S.M.); (D.W.); (M.H.); (M.K.); (M.U.); (O.R.)
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, 91054 Erlangen, Germany; (M.S.M.); (D.W.); (M.H.); (M.K.); (M.U.); (O.R.)
| | - Markus Kopp
- Department of Radiology, University Hospital Erlangen, 91054 Erlangen, Germany; (M.S.M.); (D.W.); (M.H.); (M.K.); (M.U.); (O.R.)
| | - Renate Ruppel
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, 91054 Erlangen, Germany; (R.R.); (R.T.); (J.W.)
| | - Regina Trollmann
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, 91054 Erlangen, Germany; (R.R.); (R.T.); (J.W.)
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, 91054 Erlangen, Germany; (R.R.); (R.T.); (J.W.)
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, 91054 Erlangen, Germany; (M.S.M.); (D.W.); (M.H.); (M.K.); (M.U.); (O.R.)
- Imaging Science Institute, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Oliver Rompel
- Department of Radiology, University Hospital Erlangen, 91054 Erlangen, Germany; (M.S.M.); (D.W.); (M.H.); (M.K.); (M.U.); (O.R.)
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Seuss H, Hammon M, Roemer F, Heiss R, Janka R, Uder M, Dankerl P. Scanned versus Fused-Reconstructed Oblique MR-Images for Assessment of the Tibiofibular Syndesmosis-Diagnostic PerFormance and Reader Agreement. Diagnostics (Basel) 2021; 11:diagnostics11020197. [PMID: 33572854 PMCID: PMC7910886 DOI: 10.3390/diagnostics11020197] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 11/16/2022] Open
Abstract
To evaluate the diagnostic performance and reader agreement of a novel MRI image fusion method enabling the reconstruction of oblique images for the assessment of the tibiofibular syndesmosis. We evaluated 40 magnetic resonance imaging examinations of patients with ankle sprains (16 with ruptures and 24 without) for the presence of anteroinferior tibiofibular ligament rupture. For all patients, we performed a fusion of standard two-dimensional transversal and coronal 3 mm PDw TSE images into an oblique-fusion reconstruction (OFR) and compared these against conventionally scanned oblique sequence for the evaluation of the tibiofibular syndesmosis. To evaluate diagnostic performance, two expert readers independently read the OFR images twice. We analyzed sensitivity, specificity, negative and positive predictive values, accuracy, and agreement. Reader 1 misinterpreted one OFR as a false negative, demonstrating a sensitivity of 0.94 and specificity of 1.00, reader 2 demonstrated perfect accuracy. Intrareader agreement was almost perfect for reader 1 (α = 0.95) and was perfect for reader 2 (α = 1.00). Additionally, interreader agreement between all fusion sequence reads was almost perfect (α = 0.97). The proposed OFR enables reliable detection of anteroinferior tibiofibular ligament rupture with excellent inter- and intrareader agreement, making conventional scanning of oblique images redundant and supplies a method to retroactively create oblique images, e.g., from external examinations.
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Affiliation(s)
- Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany; (H.S.); (M.H.); (F.R.); (R.H.); (R.J.); (M.U.)
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany; (H.S.); (M.H.); (F.R.); (R.H.); (R.J.); (M.U.)
| | - Frank Roemer
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany; (H.S.); (M.H.); (F.R.); (R.H.); (R.J.); (M.U.)
- Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 3rd Floor, Boston, MA 02118, USA
| | - Rafael Heiss
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany; (H.S.); (M.H.); (F.R.); (R.H.); (R.J.); (M.U.)
| | - Rolf Janka
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany; (H.S.); (M.H.); (F.R.); (R.H.); (R.J.); (M.U.)
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany; (H.S.); (M.H.); (F.R.); (R.H.); (R.J.); (M.U.)
| | - Peter Dankerl
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany; (H.S.); (M.H.); (F.R.); (R.H.); (R.J.); (M.U.)
- Correspondence: ; Tel.: +49-9131-8536065; Fax: +49-9131-8536068
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Zeilinger MG, Autenrieth C, Remmel K, Schuh A, Hammon M, Schraml A, Uder M, Rompel O. Bioabsorbable Unsintered Hydroxyapatite/Poly-l-Lactic Acid Pin Fixation of Osteochondritis Dissecans in Adolescents: Initial Experiences. Z Orthop Unfall 2020; 160:183-189. [PMID: 33233012 DOI: 10.1055/a-1289-0733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND This study sought to retrospectively evaluate the clinical and magnetic resonance imaging (MRI) outcomes of u-HA/PLLA pin (u-HA/PLLA: hydroxyapatite/poly-L-lactic acid) pin fixation of unstable osteochondritis dissecans (OCD) lesions of the knee. METHODS Seven adolescent patients (four females and three males) with arthroscopically unstable OCD lesions of the knee were included. The mean age at diagnosis was 13.1 years. Clinical results were evaluated preoperatively and during follow-up using the Ogilvie-Harris score (0 - 15 points). MRI scans were performed preoperatively and during follow-up, with results evaluated using the Dipaola classification (grades 1 - 4). Mean follow-up time was 29 months. RESULTS The median Ogilvie-Harris score improved from 13 points (range: 10 - 14 points) to 15 points (range: 13 - 15 points). Separately, the median Dipaola score improved from 3 points (range: 2 - 4 points) to 1 point (range: 1 - 4 points). No complications such as infection, synovitis, or intra-articular adhesion were observed. CONCLUSIONS Initial experiences using bioabsorbable u-HA/PLLA pins for the refixation of unstable OCD lesions in adolescents in the knee are promising, and MRI provides excellent monitoring of healing.
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Affiliation(s)
| | | | - Kerstin Remmel
- Department of Pediatric Orthopedics, Cnopf Children's Hospital, Nürnberg, Germany
| | - Alexander Schuh
- Musculoskeletal Research Unit, Neumarkt Regional Hospital, Neumarkt in der Oberpfalz, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Annemarie Schraml
- Department of Pediatric Orthopedics, Cnopf Children's Hospital, Nürnberg, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Oliver Rompel
- Department of Radiology, University Hospital Erlangen, Erlangen, Germany
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Vasileiou G, Costa MJ, Long C, Wetzler IR, Hoyer J, Kraus C, Popp B, Emons J, Wunderle M, Wenkel E, Uder M, Beckmann MW, Jud SM, Fasching PA, Cavallaro A, Reis A, Hammon M. Breast MRI texture analysis for prediction of BRCA-associated genetic risk. BMC Med Imaging 2020; 20:86. [PMID: 32727387 PMCID: PMC7388478 DOI: 10.1186/s12880-020-00483-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 07/10/2020] [Indexed: 01/31/2023] Open
Abstract
Background BRCA1/2 deleterious variants account for most of the hereditary breast and ovarian cancer cases. Prediction models and guidelines for the assessment of genetic risk rely heavily on criteria with high variability such as family cancer history. Here we investigated the efficacy of MRI (magnetic resonance imaging) texture features as a predictor for BRCA mutation status. Methods A total of 41 female breast cancer individuals at high genetic risk, sixteen with a BRCA1/2 pathogenic variant and twenty five controls were included. From each MRI 4225 computer-extracted voxels were analyzed. Non-imaging features including clinical, family cancer history variables and triple negative receptor status (TNBC) were complementarily used. Lasso-principal component regression (L-PCR) analysis was implemented to compare the predictive performance, assessed as area under the curve (AUC), when imaging features were used, and lasso logistic regression or conventional logistic regression for the remaining analyses. Results Lasso-selected imaging principal components showed the highest predictive value (AUC 0.86), surpassing family cancer history. Clinical variables comprising age at disease onset and bilateral breast cancer yielded a relatively poor AUC (~ 0.56). Combination of imaging with the non-imaging variables led to an improvement of predictive performance in all analyses, with TNBC along with the imaging components yielding the highest AUC (0.94). Replacing family history variables with imaging components yielded an improvement of classification performance of ~ 4%, suggesting that imaging compensates the predictive information arising from family cancer structure. Conclusions The L-PCR model uncovered evidence for the utility of MRI texture features in distinguishing between BRCA1/2 positive and negative high-risk breast cancer individuals, which may suggest value to diagnostic routine. Integration of computer-extracted texture analysis from MRI modalities in prediction models and inclusion criteria might play a role in reducing false positives or missed cases especially when established risk variables such as family history are missing.
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Affiliation(s)
- Georgia Vasileiou
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany.
| | - Maria J Costa
- Siemens Healthcare, Imaging Analytics Germany, 91054, Erlangen, Germany
| | - Christopher Long
- Siemens Healthcare, Imaging Analytics Germany, 91054, Erlangen, Germany
| | - Iris R Wetzler
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Juliane Hoyer
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Cornelia Kraus
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Bernt Popp
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Julius Emons
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Marius Wunderle
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Evelyn Wenkel
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Sebastian M Jud
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Alexander Cavallaro
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - André Reis
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
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Linder V, Fritscher T, Hammon M, Schroth M, Schmidt W, Uder M, Rompel O. Small direct right ventricular cardiac metastasis of osteosarcoma in a 10-year-old boy affirmed by cardiac MRI. Radiol Case Rep 2020; 15:761-764. [PMID: 32322327 PMCID: PMC7160384 DOI: 10.1016/j.radcr.2020.03.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 03/13/2020] [Accepted: 03/14/2020] [Indexed: 11/07/2022] Open
Abstract
Background Metastatic osteosarcoma with direct cardiac involvement is an exceptionally rare finding. Reliable detection of cardiac metastases is known to be crucial for patients therapy and prognosis. Case Summary In a 10-year-old boy affected by osteosarcoma of the left femur, a baseline Fluorine-18-fluorodeoxy-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) was performed to assess the full extent of disease. Whole-body scan detected numerous bone metastases together with a single pulmonary metastasis. Moreover, increased tracer uptake was observed in the intracavitary right cardiac ventricle in the position of a subtle spot of calcification. Because of nondetectability of a cavitary lesion on echocardiography, cardiac magnetic resonance imaging (CMRI) examination was performed to evaluate cardiac 18F-FDG PET/CT finding. CMRI revealed a small nodule in the right ventricle attached to the trabeculae, highly suspicious of a direct cardiac metastasis. After 4 cycles of chemotherapy, complete regression of tracer uptake of the lesion was observed on a follow-up 18F-FDG PET/CT scan. Conclusion CMRI is able to detect even small, clinically asymptomatic cardiac metastases in young patients affected by osteosarcoma.
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Saake M, Seuss H, Hammon M, Ellmann S, May M, Uder M, Schmid A. Dynamic CT angiography for therapy evaluation after transarterial chemoembolization of hepatocellular carcinoma. Acta Radiol 2020; 61:148-155. [PMID: 31189328 DOI: 10.1177/0284185119854601] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Liver dynamic computed tomography (CT) is an established method for pre- and post-interventional evaluation of hepatocellular carcinoma. To date only the liver parenchyma and perfusion information of dynamic CT has been evaluated widely. Purpose To evaluate the vascular information contained in dynamic CT datasets. Material and Methods Dynamic CT performed one day after transarterial chemoembolization (60 mL of contrast medium, 6 mL/s, 40 s scan duration) were retrospectively evaluated. Conventional slice and angiographic maximum-intensity-projection reconstructions were calculated on a multi-modality post-processing platform. Datasets were evaluated for viable tumor, anatomy of the vasculature, and potential tumor-feeding vessels. The results were compared to digital subtraction angiography images. Results In total, 94 treated hepatocellular carcinoma nodules were evaluated (62 dynamic CT scans, 46 patients [34 men; mean age = 69 years]). Forty-six partially viable tumors were diagnosed after transarterial chemoembolization. In all of these, tumor-feeding vessels were found in dynamic CT. Seventeen suspected extra-hepatic tumor feeders were reported, of which 14 had not been found during previous transarterial chemoembolization. Conclusion Dynamic CT is useful in post-interventional imaging of hepatocellular carcinoma after transarterial chemoembolization due to its ability to detect residual viable tumor parts and to show previously unknown intra- and extra-hepatic tumor-feeding vessels.
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Affiliation(s)
- Marc Saake
- Department of Radiology, University of Erlangen-Nuremberg, Germany
| | - Hannes Seuss
- Department of Radiology, University of Erlangen-Nuremberg, Germany
| | - Matthias Hammon
- Department of Radiology, University of Erlangen-Nuremberg, Germany
| | - Stephan Ellmann
- Department of Radiology, University of Erlangen-Nuremberg, Germany
| | - Matthias May
- Department of Radiology, University of Erlangen-Nuremberg, Germany
| | - Michael Uder
- Department of Radiology, University of Erlangen-Nuremberg, Germany
| | - Axel Schmid
- Department of Radiology, University of Erlangen-Nuremberg, Germany
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9
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Ellmann S, Wenkel E, Dietzel M, Bielowski C, Vesal S, Maier A, Hammon M, Janka R, Fasching PA, Beckmann MW, Schulz Wendtland R, Uder M, Bäuerle T. Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses. PLoS One 2020; 15:e0228446. [PMID: 31999755 PMCID: PMC6992224 DOI: 10.1371/journal.pone.0228446] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 01/15/2020] [Indexed: 12/16/2022] Open
Abstract
We investigated whether the integration of machine learning (ML) into MRI interpretation can provide accurate decision rules for the management of suspicious breast masses. A total of 173 consecutive patients with suspicious breast masses upon complementary assessment (BI-RADS IV/V: n = 100/76) received standardized breast MRI prior to histological verification. MRI findings were independently assessed by two observers (R1/R2: 5 years of experience/no experience in breast MRI) using six (semi-)quantitative imaging parameters. Interobserver variability was studied by ICC (intraclass correlation coefficient). A polynomial kernel function support vector machine was trained to differentiate between benign and malignant lesions based on the six imaging parameters and patient age. Ten-fold cross-validation was applied to prevent overfitting. Overall diagnostic accuracy and decision rules (rule-out criteria) to accurately exclude malignancy were evaluated. Results were integrated into a web application and published online. Malignant lesions were present in 107 patients (60.8%). Imaging features showed excellent interobserver variability (ICC: 0.81–0.98) with variable diagnostic accuracy (AUC: 0.65–0.82). Overall performance of the ML algorithm was high (AUC = 90.1%; BI-RADS IV: AUC = 91.6%). The ML algorithm provided decision rules to accurately rule-out malignancy with a false negative rate <1% in 31.3% of the BI-RADS IV cases. Thus, integration of ML into MRI interpretation can provide objective and accurate decision rules for the management of suspicious breast masses, and could help to reduce the number of potentially unnecessary biopsies.
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Affiliation(s)
- Stephan Ellmann
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- * E-mail:
| | - Evelyn Wenkel
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Dietzel
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Christian Bielowski
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Sulaiman Vesal
- Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Andreas Maier
- Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Rolf Janka
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Peter A. Fasching
- Comprehensive Cancer Center Erlangen-EMW, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias W. Beckmann
- Comprehensive Cancer Center Erlangen-EMW, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Rüdiger Schulz Wendtland
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Tobias Bäuerle
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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10
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Rauh SS, Riexinger AJ, Ohlmeyer S, Hammon M, Saake M, Stemmer A, Uder M, Hensel B, Laun FB. A mixed waveform protocol for reduction of the cardiac motion artifact in black-blood diffusion-weighted imaging of the liver. Magn Reson Imaging 2020; 67:59-68. [PMID: 31923466 DOI: 10.1016/j.mri.2019.12.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 12/11/2019] [Accepted: 12/31/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Diffusion-weighted imaging (DWI) in the liver suffers from signal loss due to the cardiac motion artifact, especially in the left liver lobe. The purpose of this work was to improve the image quality of liver DWI in terms of cardiac motion artifact reduction and achievement of black-blood images in low b-value images. MATERIAL AND METHODS Ten healthy volunteers (age 20-31 years) underwent MRI examinations at 1.5 T with a prototype DWI sequence provided by the vendor. Two diffusion encodings (i.e. waveforms), monopolar and flow-compensated, and the b-values 0, 20, 50, 100, 150, 600 and 800 s/mm2 were used. Two Likert scales describing the severity of the pulsation artifact and the quality of the black-blood state were defined and evaluated by two experienced radiologists. Regions of interest (ROIs) were manually drawn in the right and left liver lobe in each slice and combined to a volume of interest (VOI). The mean and coefficient of variation were calculated for each normalized VOI-averaged signal to assess the severity of the cardiac motion artifact. The ADC was calculated using two b-values once for the monopolar data and once with mixed data, using the monopolar data for the small and the flow-compensated data for the high b-value. A Wilcoxon rank sum test was used to compare the Likert scores obtained for monopolar and flow-compensated data. RESULTS At b-values from 20 to 150 s/mm2, unlike the flow-compensated diffusion encoding, the monopolar encoding yielded black blood in all images with a negligible signal loss due to the cardiac motion artifact. At the b-values 600 and 800 s/mm2, the flow-compensated encoding resulted in a significantly reduced cardiac motion artifact, especially in the left liver lobe, and in a black-blood state. The ADC calculated with monopolar data was significantly higher in the left than in the right liver lobe. CONCLUSION It is recommendable to use the following mixed waveform protocol: Monopolar diffusion encodings at small b-values and flow-compensated diffusion encodings at high b-values.
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Affiliation(s)
- Susanne S Rauh
- Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Andreas J Riexinger
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Sabine Ohlmeyer
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Matthias Hammon
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Marc Saake
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | | | - Michael Uder
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Bernhard Hensel
- Center for Medical Physics and Engineering, Friedrich-Alexander-Universität Erlangen-, Nürnberg, (FAU), Erlangen, Germany
| | - Frederik B Laun
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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11
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Wetzl M, May MS, Weinmann D, Hammon M, Treutlein C, Zeilinger M, Kiefer A, Trollmann R, Woelfle J, Uder M, Rompel O. Dual-source computed tomography of the lung with spectral shaping and advanced iterative reconstruction: potential for maximum radiation dose reduction. Pediatr Radiol 2020; 50:1240-1248. [PMID: 32556576 PMCID: PMC7398955 DOI: 10.1007/s00247-020-04714-0] [Citation(s) in RCA: 3] [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] [Received: 10/02/2019] [Revised: 03/06/2020] [Accepted: 05/12/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Radiation dose at CT should be as low as possible without compromising diagnostic quality. OBJECTIVE To assess the potential for maximum dose reduction of pediatric lung dual-source CT with spectral shaping and advanced iterative reconstruction (ADMIRE). MATERIALS AND METHODS We retrospectively analyzed dual-source CT acquisitions in a full-dose group (FD: 100 kV, 64 reference mAs) and in three groups with spectral shaping and differing reference mAs values (Sn: 100 kV, 96/64/32 reference mAs), each group consisting of 16 patients (age mean 11.5 years, standard deviation 4.8 years, median 12.8 years, range 1.3-18 years). Advanced iterative reconstruction of images was performed with different strengths (FD: ADMIRE Level 2; Sn: ADMIRE Levels 2, 3 and 4). We analyzed dose parameters and measured noise. Diagnostic confidence and detectability of lung lesions as well as anatomical structures were assessed using a Likert scale (from 1 [unacceptable] to 4 [fully acceptable]). RESULTS Compared to full dose, effective dose was reduced to 16.7% in the Sn 96 group, 11.1% in Sn64, and 5.5% in Sn32 (P<0.001). Noise values of Sn64ADM4 did not statistically differ from those in FDADM2 (45.7 vs. 38.9 Hounsfield units [HU]; P=0.132), whereas noise was significantly higher in Sn32ADM4 compared to Sn64ADM4 (61.5 HU; P<0.001). A Likert score >3 was reached in Sn64ADM4 regarding diagnostic confidence (3.2) and detectability of lung lesions (3.3). For detectability of most anatomical structures, no significant differences were found between FDAM2 and Sn64ADM4 (P≥0.05). CONCLUSION In pediatric lung dual-source CT, spectral shaping together with ADMIRE 4 enable radiation dose reduction to about 10% of a full-dose protocol while maintaining an acceptable diagnostic quality.
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Affiliation(s)
- Matthias Wetzl
- Department of Radiology, University Hospital Erlangen, Erlangen, Germany.
| | - Matthias S. May
- grid.411668.c0000 0000 9935 6525Department of Radiology, University Hospital Erlangen, Erlangen, Germany ,grid.411668.c0000 0000 9935 6525Imaging Science Institute, University Hospital Erlangen, Erlangen, Germany
| | - Daniel Weinmann
- grid.411668.c0000 0000 9935 6525Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Matthias Hammon
- grid.411668.c0000 0000 9935 6525Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Christoph Treutlein
- grid.411668.c0000 0000 9935 6525Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Martin Zeilinger
- grid.411668.c0000 0000 9935 6525Department of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Alexander Kiefer
- grid.411668.c0000 0000 9935 6525Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Regina Trollmann
- grid.411668.c0000 0000 9935 6525Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Joachim Woelfle
- grid.411668.c0000 0000 9935 6525Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany
| | - Michael Uder
- grid.411668.c0000 0000 9935 6525Department of Radiology, University Hospital Erlangen, Erlangen, Germany ,grid.411668.c0000 0000 9935 6525Imaging Science Institute, University Hospital Erlangen, Erlangen, Germany
| | - Oliver Rompel
- grid.411668.c0000 0000 9935 6525Department of Radiology, University Hospital Erlangen, Erlangen, Germany
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12
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Nau D, Wuest W, Rompel O, Hammon M, Gloeckler M, Toka O, Dittrich S, Rueffer A, Cesnjevar R, Lell MM, Uder M, May MS. Evaluation of ventricular septal defects using high pitch computed tomography angiography of the chest in children with complex congenital heart defects below one year of age. J Cardiovasc Comput Tomogr 2019; 13:226-233. [DOI: 10.1016/j.jcct.2019.01.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 01/14/2019] [Accepted: 01/31/2019] [Indexed: 01/08/2023]
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Toussaint F, Hammon M, Erdmann M, Moreira A, Kirchberger MC, Schuler G, Schett G, Heinzerling L. Checkpoint inhibitor-induced eosinophilic fasciitis following high eosinophilia associated with complete response. Rheumatology (Oxford) 2019; 58:1875-1877. [DOI: 10.1093/rheumatology/kez164] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2019] [Indexed: 01/07/2023] Open
Affiliation(s)
- Frédéric Toussaint
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Michael Erdmann
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Alvaro Moreira
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Michael C Kirchberger
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Gerold Schuler
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Georg Schett
- Department of Rheumatology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Lucie Heinzerling
- Department of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany
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14
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Dietzel M, Wenkel E, Hammon M, Clauser P, Uder M, Schulz-Wendtland R, Baltzer PA. Does higher field strength translate into better diagnostic accuracy? A prospective comparison of breast MRI at 3 and 1.5 Tesla. Eur J Radiol 2019; 114:51-56. [DOI: 10.1016/j.ejrad.2019.02.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 02/22/2019] [Accepted: 02/25/2019] [Indexed: 12/20/2022]
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Hammon RA, Seuss H, Hammon M, Grillhösl C, Heiss R, Zeilinger M, Bayerl N, Vuylsteke P, Wanninger F, Schroth M, Uder M, Rompel O. Improved visualization of peripherally inserted central catheters on chest radiographs of neonates using fractional multiscale image processing. BMC Med Imaging 2019; 19:3. [PMID: 30612560 PMCID: PMC6322299 DOI: 10.1186/s12880-018-0302-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 12/26/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Peripherally inserted central catheters (PICCs) provide secure intravenous access for the delivery of life-sustaining medications and nutrition. They are commonly used in pediatrics. Confirmation of correct central catheter tip position is crucial. Verification is usually done by a radiograph. The aim of this study is to evaluate the ability of Fractional Multiscale image Processing (FMP) to detect PICC tips on the digital chest radiographs of neonates. METHODS A total of 94 radiographs of 47 patients were included in the study. 29 patients were male, 18 were female. The mean age of all examined children was 9.2 days (range 0-99 days). In total, six readers (two radiologists, two residents in radiology, one last year medical student, one neonatologist) evaluated 94 unprocessed and catheter-enhanced radiographs using a 5-point Likert scale (1 = poor catheter tip visualization, 5 = excellent catheter tip visualization). Additionally, the two radiologists evaluated the diagnostic confidence for chest pathologies using a 5-point Likert scale (1 = poor diagnostic confidence, 5 = excellent diagnostic confidence). Radiographs were evaluated on a dedicated workstation. RESULTS In all cases, the catheter-enhanced radiograph rated higher than (n = 471), or equal (n = 93) to, the unprocessed radiograph when visualizing catheter tips. 87% of the catheter-enhanced radiographs obtained a rating of 4 or higher, while only 42% of unprocessed radiographs received 4 or more points. Regarding diagnostic confidence for chest pathologies one radiologist rated two catheter-enhanced radiographs higher than the unprocessed radiographs, while all other 186 evaluations rated the catheter-enhanced radiographs equal to (n = 78) or lower than (n = 108) the unprocessed radiographs. Only 60% of the catheter-enhanced radiographs yielded a diagnostic confidence of 4 or higher, while 90% of the unprocessed images received 4 or more points. CONCLUSION Catheter-enhanced digital chest radiographs demonstrate improved visualization of low contrast PICC tips in neonates compared to unprocessed radiographs. Furthermore, they enable detection of accompanying chest pathologies. However, definitive diagnosis of chest pathologies should be made on unprocessed radiographs.
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Affiliation(s)
- Rebecca A Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany.
| | - Christian Grillhösl
- Department of Neonatology and Pediatric Intensive Care, Cnopf Children's Hospital, Sankt-Johannis-Mühlgasse 19, 90419, Nürnberg, Germany
| | - Rafael Heiss
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Martin Zeilinger
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Nadine Bayerl
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany
| | | | | | - Michael Schroth
- Department of Neonatology and Pediatric Intensive Care, Cnopf Children's Hospital, Sankt-Johannis-Mühlgasse 19, 90419, Nürnberg, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Oliver Rompel
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 3, 91054, Erlangen, Germany
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Böckelmann F, Hammon M, Lettmaier S, Fietkau R, Bert C, Putz F. Penile bulb sparing in prostate cancer radiotherapy : Dose analysis of an in-house MRI system to improve contouring. Strahlenther Onkol 2018; 195:153-163. [PMID: 30315483 DOI: 10.1007/s00066-018-1377-0] [Citation(s) in RCA: 5] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 09/20/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE This study aimed to assess the reduction in dose to the penile bulb (PB) achieved by MRI-based contouring following drinking and endorectal balloon (ERB) instructions. PATIENTS AND METHODS A total of 17 prostate cancer patients were treated with intensity-modulated radiation therapy (IMRT) and interstitial brachytherapy (IBT). CT and MRI datasets were acquired back-to-back based on a 65 cm3 air-filled ERB and drinking instructions. After rigid co-registration of the imaging data, the CT-based planning target volume (PTV) used for treatment planning was retrospectively compared to an MRI-based adaptive PTV and the dose to the PB was determined in each case. The adapted PTV encompassed a caudally cropped CT-based PTV which was defined on the basis of the MRI-based prostate contour plus an additional 5 mm safety margin. RESULTS In the seven-field IMRT treatment plans, the MRI-based adapted PTV achieved mean (Dmean) and maximum (Dmax) doses to the PB which were significantly lower (by 7.6 Gy and 10.9 Gy, respectively; p <0.05) than those of the CT-contoured PTV. For 6 patients, the estimated PB Dmax (seven-field IMRT and IBT) for the adapted PTV was <70 Gy, whereas only 1 patient fulfilled this criterium with the CT-based PTV. CONCLUSION MRI-based contouring and seven-field IMRT-based treatment planning achieved dose sparing to the PB. Whereas the comparison of MRI and CT contouring only relates to external beam radiotherapy (EBRT) sparing, considering EBRT and IBT shows the improvement in PB sparing for the total treatment.
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Affiliation(s)
- F Böckelmann
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsstraße 27, 91054, Erlangen, Germany
| | - M Hammon
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - S Lettmaier
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsstraße 27, 91054, Erlangen, Germany
| | - R Fietkau
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsstraße 27, 91054, Erlangen, Germany
| | - C Bert
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsstraße 27, 91054, Erlangen, Germany.
| | - F Putz
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsstraße 27, 91054, Erlangen, Germany
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Heiss R, Hotfiel T, Kellermann M, May MS, Wuest W, Janka R, Nagel AM, Uder M, Hammon M. Effect of Compression Garments on the Development of Edema and Soreness in Delayed-Onset Muscle Soreness (DOMS). J Sports Sci Med 2018; 17:392-401. [PMID: 30116112 PMCID: PMC6090402] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 05/30/2018] [Indexed: 06/08/2023]
Abstract
Delayed-onset muscle soreness (DOMS), an ultrastructural muscle injury, is one of the most common reasons for impaired muscle performance. The purpose of this study was to investigate the influence of sport compression garments on the development of exercise-induced intramuscular edema in the context of DOMS. DOMS was induced in 15 healthy participants. The participants performed a standardized eccentric exercise of the calf muscles. Magnetic resonance imaging (MRI) was performed at baseline and 60h after exercise (T2-weighted signal intensity and T2 relaxation time was evaluated in each compartment and the intramuscular edema in the medial head of the gastrocnemius muscle was segmented). After the exercise, a conventional compression garment (18-21 mmHg) was placed on one randomized calf for 60h. The level of muscle soreness was evaluated using a visual analogue pain scale. T2-weighted signal intensity, T2 relaxation time and intramuscular edema showed a significant interaction for time with increased signal intensities/intramuscular edema in the medial head of the gastrocnemius muscle at follow-up compared to baseline. No significant main effect for compression or interaction between time and limb occurred. Further, no significant differences in the soleus muscle and the lateral head of the gastrocnemius muscle were noted between limbs or over time. After exercise, there was significantly increased muscle soreness in both lower legs in resting condition and when going downstairs and a decreased range of motion in the ankle joint. No significant difference was observed between the compressed and the non-compressed calf. Our results indicate that wearing conventional compression garments after DOMS has been induced has no significant effect on the development of muscle edema, muscle soreness, range of motion and calf circumference.
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Affiliation(s)
- Rafael Heiss
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Thilo Hotfiel
- Division of Orthopedic Rheumatology, Department of Orthopedic Surgery, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Marion Kellermann
- Division of Orthopedic Rheumatology, Department of Orthopedic Surgery, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Matthias S May
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Wolfgang Wuest
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Rolf Janka
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Armin M Nagel
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
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Yuan Q, Arkudas A, Horch RE, Hammon M, Bleiziffer O, Uder M, Seuss H. Vascularization of the Arteriovenous Loop in a Rat Isolation Chamber Model—Quantification of Hypoxia and Evaluation of Its Effects. Tissue Eng Part A 2018; 24:719-728. [DOI: 10.1089/ten.tea.2017.0262] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Affiliation(s)
- Quan Yuan
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University, Erlangen-Nuernberg (FAU), Erlangen, Germany
- Department of Plastic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Andreas Arkudas
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University, Erlangen-Nuernberg (FAU), Erlangen, Germany
| | - Raymund E. Horch
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University, Erlangen-Nuernberg (FAU), Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander University, Erlangen-Nuernberg (FAU), Erlangen, Germany
| | - Oliver Bleiziffer
- Department of Plastic and Hand Surgery, Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital Erlangen, Friedrich Alexander University, Erlangen-Nuernberg (FAU), Erlangen, Germany
- Department of Plastic and Hand Surgery, Inselspital Bern, Universität Bern, Bern, Switzerland
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander University, Erlangen-Nuernberg (FAU), Erlangen, Germany
| | - Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander University, Erlangen-Nuernberg (FAU), Erlangen, Germany
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19
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Schellhaas B, Hammon M, Strobel D, Pfeifer L, Kielisch C, Goertz RS, Cavallaro A, Janka R, Neurath MF, Uder M, Seuss H. Interobserver and intermodality agreement of standardized algorithms for non-invasive diagnosis of hepatocellular carcinoma in high-risk patients: CEUS-LI-RADS versus MRI-LI-RADS. Eur Radiol 2018; 28:4254-4264. [PMID: 29675659 DOI: 10.1007/s00330-018-5379-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [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: 10/02/2017] [Revised: 01/26/2018] [Accepted: 02/07/2018] [Indexed: 12/15/2022]
Abstract
OBJECTIVES We compared the interobserver agreement for the recently introduced contrast-enhanced ultrasound (CEUS)-based algorithm CEUS-LI-RADS (Liver Imaging Reporting and Data System) versus the well-established magnetic resonance imaging (MRI)-LI-RADS for non-invasive diagnosis of hepatocellular carcinoma (HCC) in high-risk patients. METHODS Focal liver lesions in 50 high-risk patients (mean age 66.2 ± 11.8 years; 39 male) were assessed retrospectively with CEUS and MRI. Two independent observers reviewed CEUS and MRI examinations, separately, classifying observations according to CEUS-LI-RADSv.2016 and MRI-LI-RADSv.2014. Interobserver agreement was assessed with Cohen's kappa. RESULTS Forty-three lesions were HCCs; two were intrahepatic cholangiocarcinomas; five were benign lesions. Arterial phase hyperenhancement was perceived less frequently with CEUS than with MRI (37/50 / 38/50 lesions = 74%/78% [CEUS; observer 1/observer 2] versus 46/50 / 44/50 lesions = 92%/88% [MRI; observer 1/observer 2]). Washout appearance was observed in 34/50 / 20/50 lesions = 68%/40% with CEUS and 31/50 / 31/50 lesions = 62%/62%) with MRI. Interobserver agreement was moderate for arterial hyperenhancement (ĸ = 0.511/0.565 [CEUS/MRI]) and "washout" (ĸ = 0.490/0.582 [CEUS/MRI]), fair for CEUS-LI-RADS category (ĸ = 0.309) and substantial for MRI-LI-RADS category (ĸ = 0.609). Intermodality agreement was fair for arterial hyperenhancement (ĸ = 0.329), slight to fair for "washout" (ĸ = 0.202) and LI-RADS category (ĸ = 0.218) CONCLUSION: Interobserver agreement is substantial for MRI-LI-RADS and only fair for CEUS-LI-RADS. This is mostly because interobserver agreement in the perception of washout appearance is better in MRI than in CEUS. Further refinement of the LI-RADS algorithms and increasing education and practice may be necessary to improve the concordance between CEUS and MRI for the final LI-RADS categorization. KEY POINTS • CEUS-LI-RADS and MRI-LIRADS enable standardized non-invasive diagnosis of HCC in high-risk patients. • With CEUS, interobserver agreement is better for arterial hyperenhancement than for "washout". • Interobserver agreement for major features is moderate for both CEUS and MRI. • Interobserver agreement for LI-RADS category is substantial for MRI, and fair for CEUS. • Interobserver-agreement for CEUS-LI-RADS will presumably improve with ongoing use of the algorithm.
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Affiliation(s)
- Barbara Schellhaas
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - Matthias Hammon
- Department of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Bayern, Germany
| | - Deike Strobel
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - Lukas Pfeifer
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - Christian Kielisch
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - Ruediger S Goertz
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - Alexander Cavallaro
- Department of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Bayern, Germany
| | - Rolf Janka
- Department of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Bayern, Germany
| | - Markus F Neurath
- Department of Internal Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - Michael Uder
- Department of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Bayern, Germany
| | - Hannes Seuss
- Department of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Bayern, Germany.
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Seuss H, Janka R, Prümmer M, Cavallaro A, Hammon R, Theis R, Sandmair M, Amann K, Bäuerle T, Uder M, Hammon M. Development and Evaluation of a Semi-automated Segmentation Tool and a Modified Ellipsoid Formula for Volumetric Analysis of the Kidney in Non-contrast T2-Weighted MR Images. J Digit Imaging 2018; 30:244-254. [PMID: 28025731 DOI: 10.1007/s10278-016-9936-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Volumetric analysis of the kidney parenchyma provides additional information for the detection and monitoring of various renal diseases. Therefore the purposes of the study were to develop and evaluate a semi-automated segmentation tool and a modified ellipsoid formula for volumetric analysis of the kidney in non-contrast T2-weighted magnetic resonance (MR)-images. Three readers performed semi-automated segmentation of the total kidney volume (TKV) in axial, non-contrast-enhanced T2-weighted MR-images of 24 healthy volunteers (48 kidneys) twice. A semi-automated threshold-based segmentation tool was developed to segment the kidney parenchyma. Furthermore, the three readers measured renal dimensions (length, width, depth) and applied different formulas to calculate the TKV. Manual segmentation served as a reference volume. Volumes of the different methods were compared and time required was recorded. There was no significant difference between the semi-automatically and manually segmented TKV (p = 0.31). The difference in mean volumes was 0.3 ml (95% confidence interval (CI), -10.1 to 10.7 ml). Semi-automated segmentation was significantly faster than manual segmentation, with a mean difference = 188 s (220 vs. 408 s); p < 0.05. Volumes did not differ significantly comparing the results of different readers. Calculation of TKV with a modified ellipsoid formula (ellipsoid volume × 0.85) did not differ significantly from the reference volume; however, the mean error was three times higher (difference of mean volumes -0.1 ml; CI -31.1 to 30.9 ml; p = 0.95). Applying the modified ellipsoid formula was the fastest way to get an estimation of the renal volume (41 s). Semi-automated segmentation and volumetric analysis of the kidney in native T2-weighted MR data delivers accurate and reproducible results and was significantly faster than manual segmentation. Applying a modified ellipsoid formula quickly provides an accurate kidney volume.
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Affiliation(s)
- Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Rolf Janka
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Marcus Prümmer
- Chimaera GmbH, Am Weichselgarten 7, 91058, Erlangen, Germany
| | - Alexander Cavallaro
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Rebecca Hammon
- Department of Neurology, Klinikum Nuremberg, Breslauer Str. 201, 90471, Nuremberg, Germany
| | - Ragnar Theis
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Martin Sandmair
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Kerstin Amann
- Department of Nephropathology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Krankenhausstr. 8-10, 91054, Erlangen, Germany
| | - Tobias Bäuerle
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany.
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21
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Eller A, Wuest W, Saake M, Ellmann S, Kaemmerer N, Hammon M, Janka R, Uder M, May MS. Extent of simultaneous radiation dose and iodine reduction at stable image quality in computed tomography of the chest: A systematic approach using automated tube voltage adaption and iterative reconstructions. Medicine (Baltimore) 2018; 97:e0388. [PMID: 29642199 PMCID: PMC5908636 DOI: 10.1097/md.0000000000010388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Aim of this study was to systematically combine tube voltage adaptation and iterative reconstructions for reduction of iodine and radiation dose. METHODS Settings for the study protocol were evaluated in ex-ante trials to provide image quality that is comparable to a reference protocol at 120 kV with tube current modulation. Consecutive patients were randomized to undergo computed tomography (CT) of the chest using the study protocol (n = 62) or reference protocol (n = 50). Objective and subjective image quality was assessed and compared. RESULTS Tube voltage was decreased to 100 kV in 47 patients and to 80 kV in 15 patients in the study group. The iodine dosage (16.1 vs 10.5 g) and the effective radiation dose (3.6 vs 2.5 mSv) were significantly decreased in the study group (both P < .001). Contrast-to-noise ratio was comparable in the pulmonary trunk and increased in the aorta (P < .01). Subjective image quality was comparable without statistically significance. CONCLUSIONS Simultaneous reductions in iodine dosage and radiation dose by one-third are feasible for CT of the chest.
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Affiliation(s)
- Achim Eller
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
| | - Wolfgang Wuest
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
- Imaging Science Institute, Ulmenweg 18, Erlangen, Germany
| | - Marc Saake
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
| | - Stephan Ellmann
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
| | - Nadine Kaemmerer
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
| | - Rolf Janka
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
- Imaging Science Institute, Ulmenweg 18, Erlangen, Germany
| | - Matthias Stefan May
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3
- Imaging Science Institute, Ulmenweg 18, Erlangen, Germany
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Kopp C, Linz P, Maier C, Wabel P, Hammon M, Nagel AM, Rosenhauer D, Horn S, Uder M, Luft FC, Titze J, Dahlmann A. Elevated tissue sodium deposition in patients with type 2 diabetes on hemodialysis detected by 23Na magnetic resonance imaging. Kidney Int 2018; 93:1191-1197. [PMID: 29455909 DOI: 10.1016/j.kint.2017.11.021] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [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: 07/02/2017] [Revised: 11/09/2017] [Accepted: 11/16/2017] [Indexed: 12/25/2022]
Abstract
Long-term elevated blood sugar levels result in tissue matrix compositional changes in patients with diabetes mellitus type 2 (T2DM). We hypothesized that hemodialysis patients with T2DM might accumulate more tissue sodium than control hemodialysis patients. To test this, 23Na magnetic resonance imaging (23Na MRI) was used to estimate sodium in skin and muscle tissue in hemodialysis patients with or without T2DM. Muscle fat content was estimated by 1H MRI and tissue sodium content by 23Na MRI pre- and post-hemodialysis in ten hemodialysis patients with T2DM and in 30 matched control hemodialysis patients. We also assessed body fluid distribution with the Body Composition Monitor. 1H MRI indicated a tendency to higher muscle fat content in hemodialysis patients with T2DM compared to non-diabetic hemodialysis patients. 23Na MRI indicated increased sodium content in muscle and skin tissue of hemodialysis patients with T2DM compared to control hemodialysis patients. Multi-frequency bioimpedance was used to estimate extracellular water (ECW), and excess ECW in T2DM hemodialysis patients correlated with HbA1c levels. Sodium mobilization during hemodialysis lowered muscle sodium content post-dialysis to a greater degree in T2DM hemodialysis patients than in control hemodialysis patients. Thus, our findings provide evidence that increased sodium accumulation occurs in hemodialysis patients with T2DM and that impaired serum glucose metabolism is associated with disturbances in tissue sodium and water content.
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Affiliation(s)
- Christoph Kopp
- Department of Nephrology and Hypertension, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany.
| | - Peter Linz
- Institute of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Carolin Maier
- Department of Nephrology and Hypertension, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Peter Wabel
- Fresenius Medical Care, Bad Homburg, Germany
| | - Matthias Hammon
- Institute of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Armin M Nagel
- Institute of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Daniela Rosenhauer
- Department of Nephrology and Hypertension, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | | | - Michael Uder
- Institute of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Friedrich C Luft
- Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany; Department of Clinical Pharmacology, Vanderbilt University, Nashville, Tennessee, USA
| | - Jens Titze
- Department of Nephrology and Hypertension, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany; Department of Clinical Pharmacology, Vanderbilt University, Nashville, Tennessee, USA
| | - Anke Dahlmann
- Department of Nephrology and Hypertension, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
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Hammon M, Rompel O, Seuss H, Dittrich S, Uder M, Rüffer A, Cesnjevar R, Ehret N, Glöckler M. Accuracy and Specific Value of Cardiovascular 3D-Models in Pediatric CT-Angiography. Pediatr Cardiol 2017; 38:1540-1547. [PMID: 28762166 DOI: 10.1007/s00246-017-1693-7] [Citation(s) in RCA: 9] [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: 02/09/2017] [Accepted: 07/15/2017] [Indexed: 11/29/2022]
Abstract
Computed tomography (CT)-angiography is routinely performed prior to catheter-based and surgical treatment in congenital heart disease. To date, little is known about the accuracy and advantage of different 3D-reconstructions in CT-data. Exact anatomical information is crucial. We analyzed 35 consecutive CT-angiographies of infants with congenital heart disease. All datasets are reconstructed three-dimensionally using volume rendering technique (VRT) and threshold-based segmentation (stereolithographic model, STL). Additionally, the two-dimensional maximum intensity projection (MIP) reconstructs two-dimensional data. In each dataset and resulting image, measurements of vascular diameters for four different vessels were estimated and compared to the reference standard, measured via multiplanar reformation (MPR). The resulting measurements obtained via the STL-images, MIP-images, and the VRT-images were compared with the reference standard. There was a significant difference (p < 0.05) between measurements. The mean difference was 0.0 for STL-images, -0.1 for MIP-images, and -0.3 for VRT-images. The range of the differences was -0.7 to 1.0 mm for STL-images, -0.6 to 0.5 mm for MIP-images and -1.1 to 0.7 mm for VRT-images. There was an excellent correlation between the STL-, MIP-, VRT-measurements, and the reference standard. Inter-reader reliability was excellent (p < 0.01). STL-models of cardiovascular structures are more accurate than the traditional VRT-models. Additionally, they can be standardized and are reproducible.
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Affiliation(s)
- Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Oliver Rompel
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Sven Dittrich
- Department of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuernberg, Loschgestrasse 15, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Andrè Rüffer
- Department of Pediatric Heart Surgery, University Hospital Erlangen, Erlangen, Germany
| | - Robert Cesnjevar
- Department of Pediatric Heart Surgery, University Hospital Erlangen, Erlangen, Germany
| | - Nicole Ehret
- Department of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuernberg, Loschgestrasse 15, 91054, Erlangen, Germany
| | - Martin Glöckler
- Department of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuernberg, Loschgestrasse 15, 91054, Erlangen, Germany.
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Dietzel M, Kaiser C, Pinker K, Wenkel E, Hammon M, Uder M, Bennani Baiti B, Clauser P, Schulz-Wendtland R, Baltzer P. Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy. Breast Care (Basel) 2017; 12:231-236. [PMID: 29070986 PMCID: PMC5649261 DOI: 10.1159/000480226] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND We aimed to investigate an automated semi-quantitative software as an imaging biomarker for the prediction of tissue response (TR) after completion of neoadjuvant chemotherapy (NAC). METHODS Breast magnetic resonance imaging (MRI) (1.5T, protocol according to international recommendations) of 67 patients with biopsy-proven invasive breast cancer were examined before and after NAC. After completion of NAC, histopathologic assessments of TR were classified according to the Chevallier grading system (CG1/4: full/non-responder; CG2/C3: partial responder). A commercially available fully automatic software (CADstream) extracted MRI parameters of tumor extension (tumor diameter/volume: TD/TV). Pre- versus post-NAC values were compared (ΔTV and ΔTD). Additionally, the software performed volumetric analyses of vascularization (VAV) after NAC. Accuracy of MRI parameters to predict TR were identified (cross-tabs, ROC, AUC, Kruskal-Wallis). RESULTS There were 37 (34.3%) CG1, 7 (6.5%) CG2, 53 (49.1%) CG3, and 11 (10.2%) CG4 lesions. The software reached area under the curve levels of 79.5% (CG1/complete response: ΔTD), 68.6% (CG2, CG3/partial response: VAV), and 88.8% to predict TR (CG4/non-response: ΔTV). CONCLUSION Semi-quantitative automated analysis of breast MRI data enabled the prediction of tissue response to NAC.
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Affiliation(s)
- Matthias Dietzel
- Department of Radiology, University Hospital Erlangen-Nürnberg, Erlangen, Germany
| | - Clemens Kaiser
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim, Germany
| | - Katja Pinker
- Department of Radiology, Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Medical University of Vienna, Department of Biomedical Imaging and Image-Guided Therapy, Division of Molecular and Gender Imaging, Vienna, Austria
| | - Evelyn Wenkel
- Department of Radiology, University Hospital Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen-Nürnberg, Erlangen, Germany
| | - Barbara Bennani Baiti
- Medical University of Vienna, Department of Biomedical Imaging and Image-Guided Therapy, Division of Molecular and Gender Imaging, Vienna, Austria
| | - Paola Clauser
- Medical University of Vienna, Department of Biomedical Imaging and Image-Guided Therapy, Division of Molecular and Gender Imaging, Vienna, Austria
| | | | - Pascal Baltzer
- Medical University of Vienna, Department of Biomedical Imaging and Image-Guided Therapy, Division of Molecular and Gender Imaging, Vienna, Austria
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Hammon M, Grossmann S, Linz P, Seuss H, Hammon R, Rosenhauer D, Janka R, Cavallaro A, Luft FC, Titze J, Uder M, Dahlmann A. 3 Tesla 23Na Magnetic Resonance Imaging During Acute Kidney Injury. Acad Radiol 2017; 24:1086-1093. [PMID: 28495210 DOI: 10.1016/j.acra.2017.03.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 03/08/2017] [Accepted: 03/11/2017] [Indexed: 10/19/2022]
Abstract
RATIONALE AND OBJECTIVES Sodium and proton magnetic resonance imaging (23Na/1H-MRI) have shown that muscle and skin can store Na+ without water. In chronic renal failure and in heart failure, Na+ mobilization occurs, but is variable depending on age, dialysis vintage, and other features. Na+ storage depots have not been studied in patients with acute kidney injury (AKI). MATERIALS AND METHODS We studied 7 patients with AKI (mean age: 51.7 years; range: 25-84) and 14 age-matched and gender-matched healthy controls. All underwent 23Na/1H-MRI at the calf. Patients were studied before and after acute hemodialysis therapy within 5-6 days. The 23Na-MRI produced grayscale images containing Na+ phantoms, which served to quantify Na+ contents. A fat-suppressed inversion recovery sequence was used to quantify H2O content. RESULTS Plasma Na+ levels did not change. Mean Na+ contents in muscle and skin did not significantly change following four to five cycles of hemodialysis treatment (before therapy: 32.7 ± 6.9 and 44.2 ± 13.5 mmol/L, respectively; after dialysis: 31.7 ± 10.2 and 42.8 ± 11.8 mmol/L, respectively; P > .05). Water content measurements did not differ significantly before and after hemodialysis in muscle and skin (P > .05). Na+ contents in calf muscle and skin of patients before hemodialysis were significantly higher than in healthy subjects (16.6 ± 2.1 and 17.9 ± 3.2) and remained significantly elevated after hemodialysis. CONCLUSIONS Na+ in muscle and skin accumulates in patients with AKI and, in contrast to patients receiving chronic hemodialysis and those with acute heart failure, is not mobilized with hemodialysis within 5-6 days.
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Ott C, Kopp C, Dahlmann A, Schmid A, Linz P, Cavallaro A, Hammon M, Ditting T, Veelken R, Uder M, Titze J, Schmieder RE. Impact of renal denervation on tissue Na+ content in treatment-resistant hypertension. Clin Res Cardiol 2017; 107:42-48. [DOI: 10.1007/s00392-017-1156-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 08/17/2017] [Indexed: 01/11/2023]
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Karg M, Ott C, Linz P, Jumar A, Kannenkeril D, Titze J, Hammon M, Uder M, Schmieder R. 4116Reduction of tissue sodium content by SGLT-2-inhibition with dapagliflozin. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx504.4116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Seuss H, Dankerl P, Ihle M, Grandjean A, Hammon R, Kaestle N, Fasching P, Maier C, Christoph J, Sedlmayr M, Uder M, Cavallaro A, Hammon M. Semi-automated De-identification of German Content Sensitive Reports for Big Data Analytics. ROFO-FORTSCHR RONTG 2017; 189:e1. [DOI: 10.1055/s-0035-1567202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Peter Dankerl
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | | | | | - Rebecca Hammon
- Department of Neurology, Klinikum Nuremberg, Nuremberg, Germany
| | - Nicola Kaestle
- Department of Neuroradiology, University Hospital Erlangen, Erlangen, Germany
| | - Peter Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Christian Maier
- Lehrstuhl für Medizinische Informatik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jan Christoph
- Lehrstuhl für Medizinische Informatik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Martin Sedlmayr
- Lehrstuhl für Medizinische Informatik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexander Cavallaro
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
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Kopp C, Beyer C, Linz P, Dahlmann A, Hammon M, Jantsch J, Neubert P, Rosenhauer D, Müller DN, Cavallaro A, Eckardt KU, Schett G, Luft FC, Uder M, Distler JHW, Titze J. Na+ deposition in the fibrotic skin of systemic sclerosis patients detected by 23Na-magnetic resonance imaging. Rheumatology (Oxford) 2017; 56:556-560. [PMID: 28013199 DOI: 10.1093/rheumatology/kew371] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [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: 04/18/2016] [Indexed: 11/14/2022] Open
Abstract
Objective Skin fibrosis is the predominant feature of SSc and arises from excessive extracellular matrix deposition. Glycosaminoglycans are macromolecules of the extracellular matrix, which facilitate Na + accumulation in the skin. We used 23 Na-MRI to quantify Na + in skin. We hypothesized that skin Na + might accumulate in SSc and might be a biomarker for skin fibrosis. Methods In this observational case-control study, skin Na + was determined by 23 Na-MRI using a Na + volume coil in 12 patients with diffuse cutaneous SSc and in 21 control subjects. We assessed skin fibrosis by the modified Rodnan skin score prior to 23 Na-MRI and on follow-up 12 months later. Results 23 Na-MRI demonstrated increased Na + in the fibrotic skin of SSc patients compared with skin from controls [mean ( s . d .): 27.2 (5.6) vs 21.4 (5.3) mmol/l, P < 0.01]. Na + content was higher in fibrotic than in non-fibrotic SSc skin [26.2 (4.8) vs 19.2 (3.4) mmol/l, P < 0.01]. Furthermore, skin Na + amount was correlated with changes in follow-up modified Rodnan skin score (R 2 = 0.68). Conclusions 23 Na-MRI detected increased Na + in the fibrotic SSc skin; high Na + content was associated with progressive skin disease. Our findings provide the first evidence that 23 Na-MRI might be a promising tool to assess skin Na + and thereby predict progression of skin fibrosis in SSc.
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Affiliation(s)
| | - Christian Beyer
- Department of Internal Medicine 3 and Institute for Clinical Immunology
| | - Peter Linz
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | | | - Matthias Hammon
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | - Jonathan Jantsch
- Institute of Clinical Microbiology and Hygiene, University Regensburg, Regensburg
| | - Patrick Neubert
- Institute of Clinical Microbiology and Hygiene, University Regensburg, Regensburg
| | | | - Dominik N Müller
- Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Alexander Cavallaro
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | | | - Georg Schett
- Department of Internal Medicine 3 and Institute for Clinical Immunology
| | - Friedrich C Luft
- Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany.,Department of Clinical Pharmocology, Vanderbilt University, Nashville, TN, USA
| | - Michael Uder
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | - Jörg H W Distler
- Department of Internal Medicine 3 and Institute for Clinical Immunology
| | - Jens Titze
- Department of Clinical Pharmocology, Vanderbilt University, Nashville, TN, USA
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Kopp C, Beyer C, Linz P, Dahlmann A, Hammon M, Jantsch J, Neubert P, Rosenhauer D, Müller DN, Cavallaro A, Eckardt KU, Schett G, Luft FC, Uder M, Distler JHW, Titze J. Na+ deposition in the fibrotic skin of systemic sclerosis patients detected by 23Na-magnetic resonance imaging. Rheumatology (Oxford) 2017; 56:674. [PMID: 28375511 DOI: 10.1093/rheumatology/kex149] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | - Christian Beyer
- Department of Internal Medicine 3 and Institute for Clinical Immunology
| | - Peter Linz
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | | | - Matthias Hammon
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | - Jonathan Jantsch
- Institute of Clinical Microbiology and Hygiene, University Regensburg, Regensburg
| | - Patrick Neubert
- Institute of Clinical Microbiology and Hygiene, University Regensburg, Regensburg
| | | | - Dominik N Müller
- Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Alexander Cavallaro
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | | | - Georg Schett
- Department of Internal Medicine 3 and Institute for Clinical Immunology
| | - Friedrich C Luft
- Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany.,Department of Clinical Pharmocology, Vanderbilt University, Nashville, TN, USA
| | - Michael Uder
- Department of Radiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen
| | - Jörg H W Distler
- Department of Internal Medicine 3 and Institute for Clinical Immunology
| | - Jens Titze
- Department of Clinical Pharmocology, Vanderbilt University, Nashville, TN, USA
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Ellmann S, Kammerer F, Allmendinger T, Hammon M, Brand M, May M, Lell M, Uder M, Kramer M. Bestimmung des Dosisreduktionspotentials iterativer Rekonstruktionen intrakranieller CTA mit einer neuartigen auf paarweisen Bildvergleichen basierenden Methode. ROFO-FORTSCHR RONTG 2017. [DOI: 10.1055/s-0037-1600432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- S Ellmann
- Universitätsklinikum Erlangen, Radiologisches Institut, Erlangen
| | - F Kammerer
- Universitätsklinikum Erlangen, Radiologisches Institut, Erlangen
| | | | - M Hammon
- Universitätsklinikum Erlangen, Radiologisches Institut, Erlangen
| | - M Brand
- Universitätsklinikum Erlangen, Radiologisches Institut, Erlangen
| | - M May
- Universitätsklinikum Erlangen, Radiologisches Institut, Erlangen
| | - M Lell
- Klinikum Nürnberg, Institut für Radiologie und Nuklearmedizin, Nürnberg
| | - M Uder
- Universitätsklinikum Erlangen, Radiologisches Institut, Erlangen
| | - M Kramer
- Universitätsklinikum Erlangen, Radiologisches Institut, Erlangen
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Seuss H, Dankerl P, Ihle M, Grandjean A, Hammon R, Kaestle N, Fasching PA, Maier C, Christoph J, Sedlmayr M, Uder M, Cavallaro A, Hammon M. Semi-automated De-identification of German Content Sensitive Reports for Big Data Analytics. ROFO-FORTSCHR RONTG 2017; 189:661-671. [PMID: 28335044 DOI: 10.1055/s-0043-102939] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Purpose Projects involving collaborations between different institutions require data security via selective de-identification of words or phrases. A semi-automated de-identification tool was developed and evaluated on different types of medical reports natively and after adapting the algorithm to the text structure. Materials and Methods A semi-automated de-identification tool was developed and evaluated for its sensitivity and specificity in detecting sensitive content in written reports. Data from 4671 pathology reports (4105 + 566 in two different formats), 2804 medical reports, 1008 operation reports, and 6223 radiology reports of 1167 patients suffering from breast cancer were de-identified. The content was itemized into four categories: direct identifiers (name, address), indirect identifiers (date of birth/operation, medical ID, etc.), medical terms, and filler words. The software was tested natively (without training) in order to establish a baseline. The reports were manually edited and the model re-trained for the next test set. After manually editing 25, 50, 100, 250, 500 and if applicable 1000 reports of each type re-training was applied. Results In the native test, 61.3 % of direct and 80.8 % of the indirect identifiers were detected. The performance (P) increased to 91.4 % (P25), 96.7 % (P50), 99.5 % (P100), 99.6 % (P250), 99.7 % (P500) and 100 % (P1000) for direct identifiers and to 93.2 % (P25), 97.9 % (P50), 97.2 % (P100), 98.9 % (P250), 99.0 % (P500) and 99.3 % (P1000) for indirect identifiers. Without training, 5.3 % of medical terms were falsely flagged as critical data. The performance increased, after training, to 4.0 % (P25), 3.6 % (P50), 4.0 % (P100), 3.7 % (P250), 4.3 % (P500), and 3.1 % (P1000). Roughly 0.1 % of filler words were falsely flagged. Conclusion Training of the developed de-identification tool continuously improved its performance. Training with roughly 100 edited reports enables reliable detection and labeling of sensitive data in different types of medical reports. Key Points: · Collaborations between different institutions require de-identification of patients' data. · Software-based de-identification of content-sensitive reports grows in importance as a result of 'Big data'. · A de-identification software was developed and tested natively and after training. · The proposed de-identification software worked quite reliably, following training with roughly 100 edited reports. · A final check of the texts by an authorized person remains necessary. Citation Format · Seuss H, Dankerl P, Ihle M et al. Semi-automated De-identification of German Content Sensitive Reports for Big Data Analytics. Fortschr Röntgenstr 2017; 189: 661 - 671.
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Affiliation(s)
- Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Peter Dankerl
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | | | | | - Rebecca Hammon
- Department of Neurology, Klinikum Nuremberg, Nuremberg, Germany
| | - Nicola Kaestle
- Department of Neuroradiology, University Hospital Erlangen, Erlangen, Germany
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Christian Maier
- Lehrstuhl für Medizinische Informatik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jan Christoph
- Lehrstuhl für Medizinische Informatik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Martin Sedlmayr
- Lehrstuhl für Medizinische Informatik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexander Cavallaro
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich Alexander Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
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Schlechtweg PM, Kammerer FJ, Seuss H, Uder M, Hammon M. Mobile Image Interpretation: Diagnostic Performance of CT Exams Displayed on a Tablet Computer in Detecting Abdominopelvic Hemorrhage. J Digit Imaging 2017; 29:183-8. [PMID: 26438423 DOI: 10.1007/s10278-015-9829-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
To investigate whether abdominopelvic hemorrhage shown on computed tomography (CT) images can be diagnosed with the same accuracy on a tablet computer as on a dedicated reading display. One hundred patients with a clinical suspicion of abdominopelvic hemorrhage that underwent biphasic CT imaging were retrospectively read by two readers on a dedicated reading display (reference standard) and on a tablet computer (iPad Air). Reading was performed in a dedicated reading room with ambient light conditions. Image evaluation included signs of an active hemorrhage (extravasation of contrast media) and different signs indicating a condition after abdominopelvic hemorrhage (hematoma, intestinal clots, vessel stump, free abdominopelvic fluid with a mean Hounsfield unit value >20, and asymmetric muscle volume indicating intramuscular hemorrhage). Sensitivity, specificity, and positive and negative predictive values (PPV/NPV) were calculated for the tablet-based reading. Active abdominopelvic hemorrhage (n = 72) was diagnosed with the tablet computer with a sensitivity of 0.96, a specificity of 0.93, a PPV of 0.97, and an NPV of 0.90. The results for the detection of the signs indicating a condition after abdominopelvic hemorrhage range from 0.83 to 1.00 in the case of sensitivity, from 0.95 to 1.00 in the case of specificity, from 0.94 to 1.00 in the case of the PPV, and from 0.96 to 1.00 in the case of the NPV. Abdominopelvic hemorrhage shown on CT images can be diagnosed on a tablet computer with a high diagnostic accuracy allowing mobile on-call diagnoses. This may be helpful because an early and reliable diagnosis at any time is crucial for an adequate treatment strategy.
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Affiliation(s)
- Philipp M Schlechtweg
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Ferdinand J Kammerer
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany.
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Rößler AC, Kalender W, Kolditz D, Steiding C, Ruth V, Preuss C, Peter SC, Brehm B, Hammon M, Schulz-Wendtland R, Wenkel E. Performance of Photon-Counting Breast Computed Tomography, Digital Mammography, and Digital Breast Tomosynthesis in Evaluating Breast Specimens. Acad Radiol 2017; 24:184-190. [PMID: 27888024 DOI: 10.1016/j.acra.2016.09.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 09/21/2016] [Accepted: 09/25/2016] [Indexed: 10/20/2022]
Abstract
RATIONALE AND OBJECTIVES This study compared a novel photon-counting breast computed tomography (pcBCT) system with digital mammography (DM) and digital breast tomosynthesis (DBT) systems. For this reason, surgical specimens were examined with all three techniques and rated by three observers. MATERIALS AND METHODS A total of 30 surgical specimens were investigated with DM, DBT, and pcBCT; the associated images were shown to three experienced radiologists. Findings (22 microcalcifications and 23 mass lesions) were recorded and compared to the results of the pathological examination. Sensitivity and specificity for detection of microcalcifications and lesions were calculated and displayed using receiver operating characteristic curves. RESULTS Sensitivity for microcalcifications was 82% for DM, 70% for DBT, and 85% for pcBCT. Specificity for microcalcifications was 71% for DM, 75% for DBT, and 83% for pcBCT. Sensitivity for lesions was 45% for DM, 62% for DBT, and 65% for pcBCT. Specificity for lesions was 76% for DM, 62% for DBT, and 76% for pcBCT. CONCLUSIONS pcBCT showed a comparable or superior performance compared to the clinically approved DM and DBT systems. Mass lesion detectability can be increased further by the use of contrast media.
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Wenkel E, Janka R, Geppert C, Kaemmerer N, Hartmann A, Uder M, Hammon M, Brand M. Breast MRI at Very Short TE (minTE): Image Analysis of minTE Sequences on Non-Fat-Saturated, Subtracted T1-Weighted Images. ROFO-FORTSCHR RONTG 2017; 189:137-145. [PMID: 28142179 DOI: 10.1055/s-0042-120113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Purpose The aim was to evaluate a minimum echo time (minTE) protocol for breast magnetic resonance imaging (MRI) in patients with breast lesions compared to a standard TE (nTE) time protocol. Methods Breasts of 144 women were examined with a 1.5 Tesla MRI scanner. Additionally to the standard gradient-echo sequence with nTE (4.8 ms), a variant with minimum TE (1.2 ms) was used in an interleaved fashion which leads to a better temporal resolution and should reduce the scan time by approximately 50 %. Lesion sizes were measured and the signal-to-noise ratio (SNR) as well as the contrast-to-noise ratio (CNR) were calculated. Subjective confidence was evaluated using a 3-point scale before looking at the nTE sequences (1 = very sure that I can identify a lesion and classify it, 2 = quite sure that I can identify a lesion and classify it, 3 = definitely want to see nTE for final assessment) and the subjective image quality of all examinations was evaluated using a four-grade scale (1 = sharp, 2 = slight blur, 3 = moderate blur and 4 = severe blur/not evaluable) for lesion and skin sharpness. Lesion morphology and contrast enhancement were also evaluated. Results With minTE sequences, no lesion was rated with "definitely want to see nTE sequences for final assessment". The difference of the longitudinal and transverse diameter did not differ significantly (p > 0.05). With minTE, lesions and skin were rated to be significantly more blurry (p < 0.01 for lesions and p < 0.05 for skin). There was no difference between both sequences with respect to SNR, CNR, lesion morphology, contrast enhancement and detection of multifocal disease. Conclusion Dynamic breast MRI with a minTE protocol is feasible without a major loss of information (SNR, CNR, lesion morphology, contrast enhancement and lesion sizes) and the temporal resolution can be increased by a factor of 2 using minTE sequences. Key points · Increase of temporal resolution for a better in-flow curve.. · Dynamic breast MRI with a shorter TE time is possible without relevant loss of information.. · Possible decrease of the overall scan time.. Citation Format · Wenkel E, Janka R, Geppert C et al. Breast MRI at Very Short TE (minTE): Image Analysis of minTE Sequences on Non-Fat-Saturated, Subtracted T1-Weighted Images. Fortschr Röntgenstr 2017; 189: 137 - 145.
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Affiliation(s)
- Evelyn Wenkel
- Department of Radiology, University hospital Erlangen, Germany
| | - Rolf Janka
- Department of Radiology, University hospital Erlangen, Germany
| | | | | | - Arndt Hartmann
- Department of Pathology, University hospital Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University hospital Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University hospital Erlangen, Germany
| | - Michael Brand
- Department of Radiology, University hospital Erlangen, Germany
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Dankerl P, Seuss H, Ellmann S, Cavallaro A, Uder M, Hammon M. Evaluation of Rib Fractures on a Single-in-plane Image Reformation of the Rib Cage in CT Examinations. Acad Radiol 2017; 24:153-159. [PMID: 27876272 DOI: 10.1016/j.acra.2016.09.022] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 05/17/2016] [Accepted: 09/20/2016] [Indexed: 10/20/2022]
Abstract
RATIONALE AND OBJECTIVES This study aimed to evaluate the diagnostic performance of using a reformatted single-in-plane image reformation of the rib cage for the detection of rib fractures in computed tomography (CT) examinations, employing different levels of radiological experience. MATERIALS AND METHODS We retrospectively evaluated 10 consecutive patients with and 10 patients without rib fractures, whose CT scans were reformatted to a single-in-plane image reformation of the rib cage. Eight readers (two radiologists, two residents in radiology, and four interns) independently evaluated the images for the presence of rib fractures using a reformatted single-in-plane image and a multi-planar image reformation. The time limit was 30 seconds for each read. A consensus of two radiologist readings was considered as the reference standard. Diagnostic performance (sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) was assessed and evaluated per rib and per location (anterior, lateral, posterior). To determine the time limit, we prospectively analyzed the average time it took radiologists to assess the rib cage, in a bone window setting, in 50 routine CT examinations. McNemar test was used to compare the diagnostic performances. RESULTS Single image reformation was successful in all 20 patients. The sensitivity, specificity, PPV, and NPV for the detection of rib fractures using the conventional multi-planar read were 77.5%, 99.2%, 89.9%, and 98.0% for radiologists; 46.3%, 99.7%, 92.5%, and 95.3% for residents; and 29.4%, 99.4%, 82.5%, and 93.9% for interns, respectively. Sensitivity, PPV, and NPV increased across all three groups of experience, using the reformatted single-in-plane image of the rib cage (radiologists: 85.0%, 98.6%, and 98.7%; residents: 80.0%, 92.8%, and 98.2%; interns: 66.9%, 89.9%, and 97.1%), whereas specificity did not change significantly (99.9%, 99.4%, and 99.3%). The diagnostic performance of the interns and residents was significantly better when evaluating the single-in-plane image reformations (P < .01). The diagnostic performance of the radiologists was better when evaluating the single-in-plane image reformations; however, there was no significant difference (statistical power: 0.32). CONCLUSIONS The diagnostic performance for the detection of rib fractures, using CT images that have been reformatted to a single-in-plane image, improves for readers from different educational levels when the evaluation time is restricted to 30 seconds or less.
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Sandmair M, Hammon M, Seuss H, Theis R, Uder M, Janka R. Semiautomatic segmentation of the kidney in magnetic resonance images using unimodal thresholding. BMC Res Notes 2016; 9:489. [PMID: 27855691 PMCID: PMC5114781 DOI: 10.1186/s13104-016-2292-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 11/09/2016] [Indexed: 12/20/2022] Open
Abstract
Background Total kidney volume (TKV) is an important marker for the presence or progression of chronic kidney disease, however, routine ultrasonography underestimates renal volume to a high and varying degree. Objective The aim of this work was to adapt and evaluate a semi-automatic unimodal thresholding method for volumetric analysis of the kidney in native T2-weighted magnetic resonance (MR) images. Methods In a group of healthy volunteers (n = 24; 48 kidneys), we defined a region of interest (ROI) by manually tracing the outline of the kidney in every MR image. An automatic unimodal thresholding algorithm with visual feedback was applied to the probability distribution function of voxel intensities in the ROI to remove intrarenal non-parenchyma volume. For comparison, reference volumes were created by manual segmentation. Intra- and inter-observer reliability was evaluated. Results There was a small, significant mean difference of 1.5 ml between semi-automatically and manually segmented TKV (p = 0.009, 95% CI [0.4, 2.7]). While intra-observer reliability was good (mean difference 2.9 ml, p < 0.01, 95% CI [1.5, 4.2]) there was a small but significant mean difference of 4.8 ml (p < 0.01, 95% CI [3.6, 5.9]) between the TKV results of different observers. Reference volume correlations were excellent (r = 0.97–0.98). Semi-automated segmentation was significantly faster than manual segmentation; mean difference = 234 s [91–483 s]; p < 0.05. Automatic unimodal thresholding removed a considerable mean volume of 18.7 ml (13.1%) from the coarse manual pre-segmentations. Conclusions Unimodal thresholding of native MR images is a robust and sufficiently reliable method for kidney segmentation and volumetric analysis. The manual pre-segmentation can be done by non-experts with little introduction. Electronic supplementary material The online version of this article (doi:10.1186/s13104-016-2292-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Martin Sandmair
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany.
| | - Hannes Seuss
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Ragnar Theis
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Rolf Janka
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
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Dankerl P, Hammon M, Seuss H, Tröbs M, Schuhbaeck A, Hell MM, Cavallaro A, Achenbach S, Uder M, Marwan M. Computer-aided evaluation of low-dose and low-contrast agent third-generation dual-source CT angiography prior to transcatheter aortic valve implantation (TAVI). Int J Comput Assist Radiol Surg 2016; 12:795-802. [PMID: 27604759 DOI: 10.1007/s11548-016-1470-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [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: 03/10/2016] [Accepted: 08/04/2016] [Indexed: 11/24/2022]
Abstract
PURPOSE To evaluate the performance of computer-aided evaluation software for a comprehensive workup of patients prior to transcatheter aortic valve implantation (TAVI) using low-contrast agent and low radiation dose third-generation dual-source CT angiography. METHODS We evaluated 30 consecutive patients scheduled for TAVI. All patients underwent ECG-triggered high-pitch dual-source CT angiography of the aortic root and aorta with a standardized contrast agent volume (30 ml Imeron350, flow rate 4 ml/s) and low-dose (100 kv/350 mAs) protocol. An expert (10 years of experience) manually evaluated aortic root and iliac access dimensions (distance between coronary ostia and aortic annulus, minimal/maximal diameters and area-derived diameter of the aortic annulus) and best CT-predicted fluoroscopic projection angle as the reference standard. Utilizing computer-aided software (syngo.via), the same pre-TAVI workup was performed and compared to the reference standard. RESULTS Mean CTDI[Formula: see text] was 3.46 mGy and mean DLP 217.6 ± 12.1 mGy cm, corresponding to a mean effective dose of 3.7 ± 0.2 mSv. Computer-aided evaluation was successful in all but one patient. Compared to the reference standard, Bland-Altman analysis indicated very good agreement for the distances between aortic annulus and coronary ostia (RCA: mean difference 0.8 mm; 95 % CI 0.4-1.2 mm; LM: mean difference 0.9 mm; 95 % CI 0.5-1.3 mm); however, we demonstrated a systematic overestimation of annulus- derived diameter using the software (mean difference 44.4 mm[Formula: see text]; 95 % CI 30.4-58.3 mm[Formula: see text]). Based on respective annulus dimensions, the recommended prosthesis size (Edwards SAPIEN 3) matched in 26 out of the 29 patients (90 %). CT-derived fluoroscopic projection angles showed an excellent agreement for both methods. Out of 58 iliac arteries, 15 (25 %) arteries could not be segmented by the software. Preprocessing time of the software was 71 ± 11 s (range 51-96 s), and reading time with the software was 118 ± 31 s (range 68-201 s). CONCLUSION In the workup of pre-TAVI CT angiography, computer-aided evaluation of low-contrast, low-dose examinations is feasible with good agreement and quick reading time. However, a systematic overestimation of the aortic annulus area is observed.
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Affiliation(s)
- Peter Dankerl
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany.
| | - Hannes Seuss
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Monique Tröbs
- Department of Cardiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Annika Schuhbaeck
- Department of Cardiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Michaela M Hell
- Department of Cardiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Alexander Cavallaro
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Stephan Achenbach
- Department of Cardiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Mohamed Marwan
- Department of Cardiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany
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Rompel O, Buslei R, Hammon M, Dörr HG, Chada M, Nikkhah G, Uder M, Trollmann R. Diffuse Encephalopathy Associated with Isolated Cerebral Langerhans Cell Histiocytosis. Pediatr Neurol 2016; 62:62-5. [PMID: 27426422 DOI: 10.1016/j.pediatrneurol.2016.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [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: 03/16/2016] [Revised: 05/03/2016] [Accepted: 05/04/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND Langerhans cell histiocytosis is a rare disease of the monocyte-macrophage system. Abnormalities of the hypothalamic-pituitary region are common in individuals with central nervous system involvement. PATIENT DESCRIPTION This six-year-old boy developed rapidly progressive aggressive behavior, central diabetes insipidus, and repeated complex partial seizures. Magnetic resonance imaging revealed a diffuse leukoencephalopathy-like pattern and numerous infratentorial and supratentorial granulomatous nodules in the brain parenchyma along with infundibular and hypothalamic mass lesions. Stereotactic serial biopsies enabled histopathologic and immunohistochemical diagnosis of Langerhans cell histiocytosis. CONCLUSIONS Similar MRI findings have rarely been described in the literature. These findings represent part of the broad neuroradiological spectrum of Langerhans cell histiocytosis of the nervous system in children.
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Affiliation(s)
- Oliver Rompel
- Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
| | - Rolf Buslei
- Institute of Neuropathology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Helmuth-Günther Dörr
- Department of Pediatrics, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Martin Chada
- Department of Pediatrics, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Guido Nikkhah
- Department of Neurosurgery, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Regina Trollmann
- Department of Pediatrics, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
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Ellmann S, Kammerer F, Allmendinger T, Brand M, Janka R, Hammon M, Lell MM, Uder M, Kramer M. Dose reduction potential of iterative reconstruction algorithms in neck CTA-a simulation study. Dentomaxillofac Radiol 2016; 45:20160228. [PMID: 27461784 DOI: 10.1259/dmfr.20160228] [Citation(s) in RCA: 6] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVES This study aimed to determine the degree of radiation dose reduction in neck CT angiography (CTA) achievable with Sinogram-affirmed iterative reconstruction (SAFIRE) algorithms. METHODS 10 consecutive patients scheduled for neck CTA were included in this study. CTA images of the external carotid arteries either were reconstructed with filtered back projection (FBP) at full radiation dose level or underwent simulated dose reduction by proprietary reconstruction software. The dose-reduced images were reconstructed using either SAFIRE 3 or SAFIRE 5 and compared with full-dose FBP images in terms of vessel definition. 5 observers performed a total of 3000 pairwise comparisons. RESULTS SAFIRE allowed substantial radiation dose reductions in neck CTA while maintaining vessel definition. The possible levels of radiation dose reduction ranged from approximately 34 to approximately 90% and depended on the SAFIRE algorithm strength and the size of the vessel of interest. In general, larger vessels permitted higher degrees of radiation dose reduction, especially with higher SAFIRE strength levels. With small vessels, the superiority of SAFIRE 5 over SAFIRE 3 was lost. CONCLUSIONS Neck CTA can be performed with substantially less radiation dose when SAFIRE is applied. The exact degree of radiation dose reduction should be adapted to the clinical question, in particular to the smallest vessel needing excellent definition.
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Affiliation(s)
- Stephan Ellmann
- 1 Institute of Radiology, University Hospital Erlangen-Nuernberg, University of Erlangen-Nuernberg, Erlangen, Germany
| | - Ferdinand Kammerer
- 1 Institute of Radiology, University Hospital Erlangen-Nuernberg, University of Erlangen-Nuernberg, Erlangen, Germany
| | - Thomas Allmendinger
- 2 Siemens Healthineers GmbH, CT Division, Siemensstraße 1, Forchheim/Erlangen, Germany
| | - Michael Brand
- 1 Institute of Radiology, University Hospital Erlangen-Nuernberg, University of Erlangen-Nuernberg, Erlangen, Germany
| | - Rolf Janka
- 1 Institute of Radiology, University Hospital Erlangen-Nuernberg, University of Erlangen-Nuernberg, Erlangen, Germany
| | - Matthias Hammon
- 1 Institute of Radiology, University Hospital Erlangen-Nuernberg, University of Erlangen-Nuernberg, Erlangen, Germany
| | - Michael M Lell
- 3 Clinicum Nuernberg, Department of Radiology and Nuclear Medicine, Paracelsus Medical University, Nuremberg, Germany
| | - Michael Uder
- 1 Institute of Radiology, University Hospital Erlangen-Nuernberg, University of Erlangen-Nuernberg, Erlangen, Germany
| | - Manuel Kramer
- 1 Institute of Radiology, University Hospital Erlangen-Nuernberg, University of Erlangen-Nuernberg, Erlangen, Germany
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Seuss H, Arkudas A, Hammon M, Bleiziffer O, Uder M, Horch RE, Yuan Q. Three-dimensional mapping of the arteriovenous loop model using two-dimensional histological methods. Microsc Res Tech 2016; 79:899-907. [DOI: 10.1002/jemt.22717] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 06/16/2016] [Accepted: 06/23/2016] [Indexed: 12/21/2022]
Affiliation(s)
- Hannes Seuss
- Department of Radiology; University Hospital Erlangen; Erlangen-Nuernberg (FAU, Germany, Friedrich Alexander University)
| | - Andreas Arkudas
- Department of Plastic and Hand Surgery and Laboratory for Tissue Engineering and Regenerative Medicine; University Hospital Erlangen; Erlangen-Nuernberg (FAU, Germany, Friedrich Alexander University)
| | - Matthias Hammon
- Department of Radiology; University Hospital Erlangen; Erlangen-Nuernberg (FAU, Germany, Friedrich Alexander University)
| | - Oliver Bleiziffer
- Department of Plastic and Hand Surgery; Inselspital Bern, Universität Bern; Switzerland
| | - Michael Uder
- Department of Radiology; University Hospital Erlangen; Erlangen-Nuernberg (FAU, Germany, Friedrich Alexander University)
| | - Raymund E. Horch
- Department of Plastic and Hand Surgery and Laboratory for Tissue Engineering and Regenerative Medicine; University Hospital Erlangen; Erlangen-Nuernberg (FAU, Germany, Friedrich Alexander University)
| | - Quan Yuan
- Department of Plastic Surgery; Union Hospital, Huazhong, China University of Science & Technology; Wuhan
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Seuss H, Dankerl P, Cavallaro A, Uder M, Hammon M. Osteoblastic lesion screening with an advanced post-processing package enabling in-plane rib reading in CT-images. BMC Med Imaging 2016; 16:39. [PMID: 27198576 PMCID: PMC4874002 DOI: 10.1186/s12880-016-0141-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 05/16/2016] [Indexed: 11/10/2022] Open
Abstract
Background To evaluate screening and diagnostic accuracy for the detection of osteoblastic rib lesions using an advanced post-processing package enabling in-plane rib reading in CT-images. Methods We retrospectively assessed the CT-data of 60 consecutive prostate cancer patients by applying dedicated software enabling in-plane rib reading. Reading the conventional multiplanar reconstructions was considered to be the reference standard. To simulate clinical practice, the reader was given 10 s to screen for sclerotic rib lesions in each patient applying both approaches. Afterwards, every rib was evaluated individually with both approaches without a time limit. Sensitivities, specificities, positive/negative predictive values and the time needed for detection were calculated depending on the lesion’s size (largest diameter < 5 mm, 5–10 mm, > 10 mm). Results In 53 of 60 patients, all ribs were properly displayed in plane, in five patients ribs were partially displayed correctly, and in two patients none of the ribs were displayed correctly. During the 10-s screening approach all patients with sclerotic rib lesions were correctly identified reading the in-plane images (including the patients without a correct rib segmentation), whereas 14 of 23 patients were correctly identified reading conventional multiplanar images. Overall screening sensitivity, specificity, and positive/negative predictive values were 100/27.0/46.0/100 %, respectively, for in-plane reading and 60.9/100/100/80.4 %, respectively, for multiplanar reading. Overall diagnostic (no time limit) sensitivity, specificity, and positive/negative predictive values of in-plane reading were 97.8/92.8/74.6/99.5 %, respectively. False positive results predominantly occurred for lesions <5 mm in size. Conclusions In-plane reading of the ribs allows reliable detection of osteoblastic lesions for screening purposes. The limited specificity results from false positives predominantly occurring for small lesions.
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Affiliation(s)
- Hannes Seuss
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Peter Dankerl
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Alexander Cavallaro
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Maximiliansplatz 1, 91054, Erlangen, Germany.
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Wild M, Dankerl P, Hammon M, Uder M, Janka R. Vertebral body fractures of unknown origin in cancer patients receiving MDCT: reporting by radiologists and awareness by clinicians. Springerplus 2016; 5:450. [PMID: 27119054 PMCID: PMC4830788 DOI: 10.1186/s40064-016-2097-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 04/04/2016] [Indexed: 02/01/2023]
Abstract
Background To evaluate prevalence, radiological reporting and clinical management of pathologic vertebral body fractures (VBFs) of unknown origin in cancer patients receiving computed tomography (CT) examinations. Methods We investigated all CT examinations (over 1 year) of male and female patients with an underlying malignancy and an increased risk of osteoporosis (age 55–79 years) for the presence of VBFs. We evaluated midline sagittal CT-reformations of the spine for prevalence, fracture type, severity and location, the accuracy and style of radiological reporting, subsequent clinical management and documentation in hospital discharge letters. Results 848 patients were investigated. We found 143 VBFs in 94 (11 %) patients. 6, 49, and 45 % were grade 1, grade 2, and grade 3 fractures, respectively, while 20, 66, and 14 % were wedge, biconcave and crush fractures, respectively. 32 (34 %) radiological reports correctly classified VBFs as fractures, 25 (27 %) reports recognized VBFs, but did not type them, and VBFs were not described in 37 (39 %) reports. In 3 (3 %) patients further clinical work-up of VBFs was performed, while only 8 (9 %) hospital discharge letters contained the information of the presence of pathologic VBFs of unknown origin. Conclusions VBFs of unknown origin appear frequently in cancer patients, however, clinical management and documentation was found in only few cases. Moreover, especially in cancer patients consistent radiological reporting of VBFs seems important, as aetiology of VBFs could be from osteoporosis, disease progression or oncological therapy, however, reporting is still performed inconsistently.
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Affiliation(s)
- Melanie Wild
- Department of Orthopedic Surgery, Klinikum Forchheim, Krankenhausstraße 10, 91301 Forchheim, Germany
| | - Peter Dankerl
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054 Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054 Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054 Erlangen, Germany
| | - Rolf Janka
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054 Erlangen, Germany
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Kammerer FJ, Schlude B, Kuefner MA, Schlechtweg P, Hammon M, Uder M, Schwab SA. Morphology of the distal thoracic duct and the right lymphatic duct in different head and neck pathologies: an imaging based study. Head Face Med 2016; 12:15. [PMID: 27037010 PMCID: PMC4815188 DOI: 10.1186/s13005-016-0108-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2015] [Accepted: 03/09/2016] [Indexed: 11/25/2022] Open
Abstract
Background The purpose of this study was to assess the influence of head and neck pathologies on the detection rate, configuration and diameter of the thoracic duct (TD) and right lymphatic duct (RLD) in computed tomography (CT) of the head and neck. Methods One hundred ninety-seven patients were divided into the subgroups "healthy", "benign disease" and "malignant disease". The interpretation of the images was performed at a slice thickness of 3 mm in the axial and coronal plane. In each case we looked for the distal part of the TD and RLD respectively and subsequently evaluated their configuration (tubular, sacciform, dendritic) as well as their maximum diameter and correlated the results with age, gender and diagnosis group. Results The detection rate in the study population was 81.2 % for the TD and 64.2 % for the RLD and did not differ significantly in any of the subgroups. The predominant configuration was tubular. The configuration distribution did not differ significantly between the diagnosis groups. The mean diameter of the TD was 4.79 ± 2.41 mm and that of the RLD was 3.98 ± 1.96 mm. No significant influence of a diagnosis on the diameter could be determined. Conclusions There is no significant influence of head/neck pathologies on the CT detection rate, morphology or size of the TD and RLD. However our study emphasizes that both the RLD and the TD are detectable in the majority of routine head and neck CTs and therefore reading physicians and radiologists should be familiar with their various imaging appearances.
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Affiliation(s)
- Ferdinand J Kammerer
- Institute of Radiology, University Erlangen-Nuremberg, Maximiliansplatz 1, D-91054, Erlangen, Germany.
| | - Benedikt Schlude
- Institute of Radiology, University Erlangen-Nuremberg, Maximiliansplatz 1, D-91054, Erlangen, Germany
| | - Michael A Kuefner
- Institute of Radiology, University Erlangen-Nuremberg, Maximiliansplatz 1, D-91054, Erlangen, Germany
| | - Philipp Schlechtweg
- Institute of Radiology, University Erlangen-Nuremberg, Maximiliansplatz 1, D-91054, Erlangen, Germany
| | - Matthias Hammon
- Institute of Radiology, University Erlangen-Nuremberg, Maximiliansplatz 1, D-91054, Erlangen, Germany
| | - Michael Uder
- Institute of Radiology, University Erlangen-Nuremberg, Maximiliansplatz 1, D-91054, Erlangen, Germany
| | - Siegfried A Schwab
- Institute of Radiology, University Erlangen-Nuremberg, Maximiliansplatz 1, D-91054, Erlangen, Germany
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Hammon M, Janka R, Lell M, Glöckler M, Dittrich S, Cesnjevar R, Uder M, Rompel O. Dual-source CT-Angiografie des Thorax mit 70kVp Röhrenspannung und iterativer Rekonstruktion bei pädiatrischen Patienten: Einfluss auf die Bildqualität und Potenzial der Strahlendosisreduktion. ROFO-FORTSCHR RONTG 2016. [DOI: 10.1055/s-0036-1581543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Seuß H, Dankerl P, Cavallaro A, Uder M, Hammon M. Screening von osteoplastischen Rippenläsionen durch eine neue planare Projektion des Rippenthorax. ROFO-FORTSCHR RONTG 2016. [DOI: 10.1055/s-0036-1581229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Hammon M, Janka R, Siegl C, Seuss H, Grosso R, Martirosian P, Schmieder RE, Uder M, Kistner I. Reproducibility of Kidney Perfusion Measurements With Arterial Spin Labeling at 1.5 Tesla MRI Combined With Semiautomatic Segmentation for Differential Cortical and Medullary Assessment. Medicine (Baltimore) 2016; 95:e3083. [PMID: 26986143 PMCID: PMC4839924 DOI: 10.1097/md.0000000000003083] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Magnetic resonance imaging with arterial spin labeling (ASL) is a noninvasive approach to measure organ perfusion. The purpose of this study was to evaluate the reproducibility of ASL kidney perfusion measurements with semiautomatic segmentation, which allows separate quantification of cortical and medullary perfusion. The right kidneys of 14 healthy volunteers were examined 6 times on 2 occasions (3 times at each occasion). There was a 10-minute pause between each examination and a 14-day interval between the 2 occasions. Cortical, medullary, and whole kidney parenchymal perfusion was determined with customized semiautomatic segmentation software. Coefficient of variances (CVs) and intraclass correlations (ICCs) were calculated. Mean whole, cortical, and medullary kidney perfusion was 307.26 ± 25.65, 337.10 ± 34.83, and 279.61 ± 26.73 mL/min/100 g, respectively. On session 1, mean perfusion for the whole kidney, cortex, and medulla was 307.08 ± 26.91, 336.79 ± 36.54, and 279.60 ± 27.81 mL/min/100 g, respectively, and on session 2, 307.45 ± 24.65, 337.41 ± 33.48, and 279.61 ± 25.94 mL/min/100 g, respectively (P > 0.05; R² = 0.60/0.59/0.54). For whole, cortical, and medullary kidney perfusion, the total ICC/CV were 0.97/3.43 ± 0.86%, 0.97/4.19 ± 1.33%, and 0.96/4.12 ± 1.36%, respectively. Measurements did not differ significantly and showed a very good correlation (P > 0.05; R² = 0.75/0.76/0.65). ASL kidney measurements combined with operator-independent semiautomatic segmentation revealed high correlation and low variance of cortical, medullary, and whole kidney perfusion.
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Affiliation(s)
- Matthias Hammon
- From the Department of Radiology (MH, RJ, HS, MU), University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Maximiliansplatz, Erlangen, Germany; Department of Computer Graphics (CS, RG), Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstraße, Erlangen, Germany; Experimental Radiology, Department of Diagnostic and Interventional Radiology (PM), University Hospital Tübingen, Otfried-Müller-Straße, Tübingen, Germany; and Department of Nephrology and Hypertension (RES, IK), University Hospital Erlangen, Ulmenweg, Erlangen, Germany
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Hausmann P, Stenger A, Dittrich S, Cesnjevar R, Rüffer A, Hammon M, Uder M, Rompel O, Glöckler M. Application of Dual-Source-Computed Tomography in Pediatric Cardiology in Children Within the First Year of Life. ROFO-FORTSCHR RONTG 2016; 188:179-87. [PMID: 26815121 DOI: 10.1055/s-0041-108912] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE To assess fields of application and value of dual source computed tomography (DSCT) for diagnostics and therapy in patients with congenital heart disease during their first year of life. Evaluation of image quality, surgical use and radiation exposure of 2nd and 3 rd generation DSCT. MATERIALS AND METHODS DSCT was applied in 118 cases between January 2012 and October 2014 for diagnostics of congenital heart defects. 2nd generation was used in 91 cases until April 2014 and 3 rd generation in 27 cases during the period thereafter. 3 D reconstructions of the image data were created for clinical diagnostics and planning of interventions. Image quality was assessed using a 4-point-scale. The visibility of the mammary arteries was analyzed, and signal-to-noise-ratio (SNR) and contrast-to-noise-ratio (CNR) were calculated. The usefulness of 3D-reconstructions for surgical planning was rated using a 5-point-scale. Radiation exposure and contrast dye consumption were determined. All cases were analyzed retrospectively. RESULTS DSCT was successfully used in 118 cases. All image data obtained were interpretable. More than 60 percent of cases did not show any artifacts. The mammary arteries were visible down to the diaphragmatic arch in more than 80 percent of cases. Diagnostic value and surgical benefit were evaluated as "useful" or as "essential" in all cases. Median radiation dose was 0.4 mSv and 0.27 mSv for the 2nd and 3 rd generation DSCT, respectively. Consumption of contrast dye was 2 ml/kg in all cases. CONCLUSION DSCT is a modern and extremely helpful technique for diagnostics and planning of interventions in patients with complex congenital heart defects. Extracardiac vascular structures in particular can be depicted three-dimensionally at high resolution. The use of iterative reconstruction with 3 rd generation DSCT yielded image quality similar to that of 2nd generation DSCT at considerably reduced radiation exposure level compared to 2nd generation DSCT. 3 rd generation DSCT is a low risk, accurate and extremely fast technique for diagnosing unstable patients with CHD. KEY POINTS Expanded scope of indications for DSCT in diagnosing critically ill infants. Effective radiation dose is considerably lower than 0.5 mSv. Extremely rapid image acquisitions with high image quality. Possibility of optimized 3D-based surgical planning
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Affiliation(s)
- P Hausmann
- Pediatric Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - A Stenger
- Pediatric Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - S Dittrich
- Pediatric Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - R Cesnjevar
- Congenital Heart Surgery, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - A Rüffer
- Congenital Heart Surgery, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - M Hammon
- Radiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - M Uder
- Radiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - O Rompel
- Radiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
| | - M Glöckler
- Pediatric Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
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Oberkampf H, Zillner S, Overton JA, Bauer B, Cavallaro A, Uder M, Hammon M. Semantic representation of reported measurements in radiology. BMC Med Inform Decis Mak 2016; 16:5. [PMID: 26801764 PMCID: PMC4722630 DOI: 10.1186/s12911-016-0248-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 01/20/2016] [Indexed: 12/23/2022] Open
Abstract
Background In radiology, a vast amount of diverse data is generated, and unstructured reporting is standard. Hence, much useful information is trapped in free-text form, and often lost in translation and transmission. One relevant source of free-text data consists of reports covering the assessment of changes in tumor burden, which are needed for the evaluation of cancer treatment success. Any change of lesion size is a critical factor in follow-up examinations. It is difficult to retrieve specific information from unstructured reports and to compare them over time. Therefore, a prototype was implemented that demonstrates the structured representation of findings, allowing selective review in consecutive examinations and thus more efficient comparison over time. Methods We developed a semantic Model for Clinical Information (MCI) based on existing ontologies from the Open Biological and Biomedical Ontologies (OBO) library. MCI is used for the integrated representation of measured image findings and medical knowledge about the normal size of anatomical entities. An integrated view of the radiology findings is realized by a prototype implementation of a ReportViewer. Further, RECIST (Response Evaluation Criteria In Solid Tumors) guidelines are implemented by SPARQL queries on MCI. The evaluation is based on two data sets of German radiology reports: An oncologic data set consisting of 2584 reports on 377 lymphoma patients and a mixed data set consisting of 6007 reports on diverse medical and surgical patients. All measurement findings were automatically classified as abnormal/normal using formalized medical background knowledge, i.e., knowledge that has been encoded into an ontology. A radiologist evaluated 813 classifications as correct or incorrect. All unclassified findings were evaluated as incorrect. Results The proposed approach allows the automatic classification of findings with an accuracy of 96.4 % for oncologic reports and 92.9 % for mixed reports. The ReportViewer permits efficient comparison of measured findings from consecutive examinations. The implementation of RECIST guidelines with SPARQL enhances the quality of the selection and comparison of target lesions as well as the corresponding treatment response evaluation. Conclusions The developed MCI enables an accurate integrated representation of reported measurements and medical knowledge. Thus, measurements can be automatically classified and integrated in different decision processes. The structured representation is suitable for improved integration of clinical findings during decision-making. The proposed ReportViewer provides a longitudinal overview of the measurements.
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Affiliation(s)
- Heiner Oberkampf
- Department of Computer Science, Software Methodologies for Distributed Systems, University of Augsburg, Universitätsstraße 6a, 86159, Augsburg, Germany. .,Corporate Technology, Siemens AG, Otto-Hahn-Ring 6, 81739, Münech, Germany.
| | - Sonja Zillner
- Corporate Technology, Siemens AG, Otto-Hahn-Ring 6, 81739, Münech, Germany. .,School of International Business and Entrepreneurship, Steinbeis University, Kalkofenstraße 53, 71083, Herrenberg, Germany.
| | | | - Bernhard Bauer
- Department of Computer Science, Software Methodologies for Distributed Systems, University of Augsburg, Universitätsstraße 6a, 86159, Augsburg, Germany.
| | - Alexander Cavallaro
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany.
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany.
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany.
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Abstract
The treatment of bone metastases from urological tumors represents a palliative form of therapy, apart from the resection of solitary metastases from renal cell carcinomas. Due to the high incidence of spinal metastases this can result in clinically significant symptoms and possible complications for patients, such as pain, spinal instability and compression of the spinal canal with corresponding neurological deficits. By the use of targeted diagnostics and induction of radiotherapeutic and/or surgical treatment, for the majority of patients an immediate reduction in pain as well as early mobilization and sometimes even regression of existing neurological deficits and therefore an improved quality of life can be achieved.
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Affiliation(s)
- R H Richter
- Orthopädische Universitätsklinik Erlangen, Friedrich-Alexander Universität Erlangen, Rathsberger Straße 57, 91054, Erlangen, Deutschland.
| | - M Hammon
- Radiologisches Institut, Universitätsklinikum Erlangen, Erlangen, Deutschland
| | - M Uder
- Radiologisches Institut, Universitätsklinikum Erlangen, Erlangen, Deutschland
| | - J Huber
- Klinik und Poliklinik für Urologie, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Dresden, Deutschland
| | - P J Goebell
- Urologische Universitätsklinik Erlangen, Universitätsklinikum Erlangen, Erlangen, Deutschland
| | - F Kunath
- Urologische Universitätsklinik Erlangen, Universitätsklinikum Erlangen, Erlangen, Deutschland
| | - B Wullich
- Urologische Universitätsklinik Erlangen, Universitätsklinikum Erlangen, Erlangen, Deutschland
| | - B Keck
- Urologische Universitätsklinik Erlangen, Universitätsklinikum Erlangen, Erlangen, Deutschland
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