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Achangwa NR, Nierobisch N, Ludovichetti R, Negrão de Figueiredo G, Kupka M, De Vere-Tyndall A, Frauenfelder T, Kulcsar Z, Hainc N. Sustainable reduction of phone-call interruptions by 35% in a medical imaging department using an automatic voicemail and custom call redirection system. Curr Probl Diagn Radiol 2024; 53:246-251. [PMID: 38290903 DOI: 10.1067/j.cpradiol.2024.01.004] [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] [Received: 10/02/2023] [Revised: 12/07/2023] [Accepted: 01/16/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND Have you ever been in the trenches of a complicated study only to be interrupted by a not-so urgent phone-call? We were, repeatedly- unfortunately. PURPOSE To increase productivity of radiologists by quantifying the main source of interruptions (phone-calls) to the workflow of radiologists, and too assess the implemented solution. MATERIALS AND METHODS To filter calls to the radiology consultant on duty, we introduced an automatic voicemail and custom call redirection system. Thus, instead of directly speaking with radiology consultants, clinicians were to first categorize their request and dial accordingly: 1. Inpatient requests, 2. Outpatient requests, 3. Directly speak with the consultant radiologist. Inpatient requests (1) and outpatient requests (2) were forwarded to MRI technologists or clerks, respectively. Calls were monitored in 15-minute increments continuously for an entire year (March 2022 until and including March 2023). Subsequently, both the frequency and category of requests were assessed. RESULTS 4803 calls were recorded in total: 3122 (65 %) were forwarded to a radiologist on duty. 870 (18.11 %) concerned inpatients, 274 (5.70 %) outpatients, 430 (8.95 %) dialed the wrong number, 107 (2.23 %) made no decision. Throughout the entire year the percentage of successfully avoided interruptions was relatively stable and fluctuated between low to high 30 % range (Mean per month 35 %, Median per month 34.45 %). CONCLUSIONS This is the first analysis of phone-call interruptions to consultant radiologists in an imaging department for 12 continuous months. More than 35 % of requests did not require the input of a specialist trained radiologist. Hence, installing an automated voicemail and custom call redirection system is a sustainable and simple solution to reduce phone-call interruptions by on average 35 % in radiology departments. This solution was well accepted by referring clinicians. The installation required a one-time investment of only 2h and did not cost any money.
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Affiliation(s)
- Ngwe Rawlings Achangwa
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
| | - Nathalie Nierobisch
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Riccardo Ludovichetti
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Giovanna Negrão de Figueiredo
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Kupka
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Anthony De Vere-Tyndall
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Zsolt Kulcsar
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Nicolin Hainc
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
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Stahl R, Seidensticker M, de Figueiredo GN, Pedersen V, Crispin A, Forbrig R, Ozpeynirci Y, Liebig T, D’Anastasi M, Hackner D, Trumm CG. Low-Dose CT Fluoroscopy-Guided Drainage of Deep Pelvic Fluid Collections after Colorectal Cancer Surgery: Technical Success, Clinical Outcome and Safety in 40 Patients. Diagnostics (Basel) 2023; 13:diagnostics13040711. [PMID: 36832199 PMCID: PMC9955776 DOI: 10.3390/diagnostics13040711] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 02/16/2023] Open
Abstract
PURPOSE To assess the technical (TS) and clinical success (CS) of CT fluoroscopy-guided drainage (CTD) in patients with symptomatic deep pelvic fluid collections following colorectal surgery. METHODS A retrospective analysis (years 2005 to 2020) comprised 43 drain placements in 40 patients undergoing low-dose (10-20 mA tube current) quick-check CTD using a percutaneous transgluteal (n = 39) or transperineal (n = 1) access. TS was defined as sufficient drainage of the fluid collection by ≥50% and the absence of complications according to the Cardiovascular and Interventional Radiological Society of Europe (CIRSE). CS comprised the marked reduction of elevated laboratory inflammation parameters by ≥50% under minimally invasive combination therapy (i.v. broad-spectrum antibiotics, drainage) within 30 days after intervention and no surgical revision related to the intervention required. RESULTS TS was gained in 93.0%. CS was obtained in 83.3% for C-reactive Protein and in 78.6% for Leukocytes. In five patients (12.5%), a reoperation due to an unfavorable clinical outcome was necessary. Total dose length product (DLP) tended to be lower in the second half of the observation period (median: years 2013 to 2020: 544.0 mGy*cm vs. years 2005 to 2012: 735.5 mGy*cm) and was significantly lower for the CT fluoroscopy part (median: years 2013 to 2020: 47.0 mGy*cm vs. years 2005 to 2012: 85.0 mGy*cm). CONCLUSIONS Given a minor proportion of patients requiring surgical revision due to anastomotic leakage, the CTD of deep pelvic fluid collections is safe and provides an excellent technical and clinical outcome. The reduction of radiation exposition over time can be achieved by both the ongoing development of CT technology and the increased level of interventional radiology (IR) expertise.
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Affiliation(s)
- Robert Stahl
- Institute for Diagnostic and Interventional Neuroradiology, University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
- Correspondence: ; Tel.: +49-89-4400-74629
| | - Max Seidensticker
- Department of Radiology, University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
| | - Giovanna Negrão de Figueiredo
- Department of Neuroradiology, University Hospital Zurich, University of Zurich, Frauenklinikstr. 10, 8091 Zurich, Switzerland
| | - Vera Pedersen
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
| | - Alexander Crispin
- IBE—Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
| | - Robert Forbrig
- Institute for Diagnostic and Interventional Neuroradiology, University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
| | - Yigit Ozpeynirci
- Institute for Diagnostic and Interventional Neuroradiology, University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
| | - Thomas Liebig
- Institute for Diagnostic and Interventional Neuroradiology, University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
| | - Melvin D’Anastasi
- Department of Radiology, University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
- Medical Imaging Department, Mater Dei Hospital, University of Malta, MSD 2090 Msida, Malta
| | - Danilo Hackner
- Department of General and Visceral Surgery, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Krankenhausstr. 12, 91054 Erlangen, Germany
| | - Christoph G. Trumm
- Institute for Diagnostic and Interventional Neuroradiology, University Hospital, Ludwig-Maximilians-University (LMU), Marchioninistr. 15, 81377 Munich, Germany
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Müller-Peltzer K, Kretzschmar L, Negrão de Figueiredo G, Crispin A, Stahl R, Bamberg F, Trumm CG. Present Limitations of Artificial Intelligence in the Emergency Setting - Performance Study of a Commercial, Computer-Aided Detection Algorithm for Pulmonary Embolism. ROFO-FORTSCHR RONTG 2021; 193:1436-1444. [PMID: 34352914 DOI: 10.1055/a-1515-2923] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PURPOSE Since artificial intelligence is transitioning from an experimental stage to clinical implementation, the aim of our study was to evaluate the performance of a commercial, computer-aided detection algorithm of computed tomography pulmonary angiograms regarding the presence of pulmonary embolism in the emergency room. MATERIALS AND METHODS This retrospective study includes all pulmonary computed tomography angiogram studies performed in a large emergency department over a period of 36 months that were analyzed by two radiologists experienced in emergency radiology to set a reference standard. Original reports and computer-aided detection results were compared regarding the detection of lobar, segmental, and subsegmental pulmonary embolism. All computer-aided detection findings were analyzed concerning the underlying pathology. False-positive findings were correlated to the contrast-to-noise ratio. RESULTS Expert reading revealed pulmonary embolism in 182 of 1229 patients (49 % men, 10-97 years) with a total of 504 emboli. The computer-aided detection algorithm reported 3331 findings, including 258 (8 %) true-positive findings and 3073 (92 %) false-positive findings. Computer-aided detection analysis showed a sensitivity of 47 % (95 %CI: 33-61 %) on the lobar level and 50 % (95 %CI 43-56 %) on the subsegmental level. On average, there were 2.25 false-positive findings per study (median 2, range 0-25). There was no significant correlation between the number of false-positive findings and the contrast-to-noise ratio (Spearman's Rank Correlation Coefficient = 0.09). Soft tissue (61.0 %) and pulmonary veins (24.1 %) were the most common underlying reasons for false-positive findings. CONCLUSION Applied to a population at a large emergency room, the tested commercial computer-aided detection algorithm faced relevant performance challenges that need to be addressed in future development projects. KEY POINTS · Computed tomography pulmonary angiograms are frequently acquired in emergency radiology.. · Computer-aided detection algorithms (CADs) can support image analysis.. · CADs face challenges regarding false-positive and false-negative findings.. · Radiologists using CADs need to be aware of these limitations.. · Further software improvements are necessary ahead of implementation in the daily routine.. CITATION FORMAT · Müller-Peltzer K, Kretzschmar L, Negrão de Figueiredo G et al. Present Limitations of Artificial Intelligence in the Emergency Setting - Performance Study of a Commercial, Computer-Aided Detection Algorithm for Pulmonary Embolism. Fortschr Röntgenstr 2021; DOI: 10.1055/a-1515-2923.
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Affiliation(s)
- Katharina Müller-Peltzer
- Klinik für Diagnostische und Interventionelle Radiologie, Albert-Ludwigs-Universität Freiburg Medizinische Fakultät, Freiburg, Deutschland
| | - Lena Kretzschmar
- Klinik und Poliklinik für Radiologie, Ludwig-Maximilians-Universität, München, Deutschland
| | | | - Alexander Crispin
- Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie, Klinikum der Universität München-Großhadern, München, Deutschland
| | - Robert Stahl
- Institut für Diagnostische und Interventionelle Neuroradiologie, Klinikum der Universität München-Großhadern, München, Deutschland
| | - Fabian Bamberg
- Klinik für Diagnostische und Interventionelle Radiologie, Albert-Ludwigs-Universität Freiburg Medizinische Fakultät, Freiburg, Deutschland
| | - Christoph Gregor Trumm
- Institut für Diagnostische und Interventionelle Neuroradiologie, Klinikum der Universität München-Großhadern, München, Deutschland
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Schwarze V, Marschner C, Völckers W, Grosu S, Negrão de Figueiredo G, Rübenthaler J, Clevert DA. Diagnostic value of contrast-enhanced ultrasound versus computed tomography for hepatocellular carcinoma: a retrospective, single-center evaluation of 234 patients. J Int Med Res 2021; 48:300060520930151. [PMID: 32529869 PMCID: PMC7294502 DOI: 10.1177/0300060520930151] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE Hepatocellular carcinoma (HCC) is the most common cause of primary liver cancer. A major part of diagnostic HCC work-up is based on imaging findings from sonography, computed tomography (CT), or magnetic resonance imaging (MRI) scans. Contrast-enhanced ultrasound (CEUS) allows for the dynamic assessment of the microperfusion pattern of suspicious liver lesions. This study aimed to evaluate the diagnostic value of CEUS compared with CT scans for assessing HCC. METHODS We performed a retrospective, single-center study between 2004 and 2018 on 234 patients with suspicious liver lesions who underwent CEUS and CT examinations. All patients underwent native B-mode, color Doppler and CEUS after providing informed consent. Every CEUS examination was performed and interpreted by a single experienced radiologist (European Federation of Societies for Ultrasound in Medicine and Biology level 3). RESULTS CEUS was performed on all included patients without occurrence of any adverse effects. CEUS showed a sensitivity of 94%, a specificity of 70%, a positive predictive value of 93% and a negative predictive value of 72% for analyzing HCC compared with CT as the diagnostic gold standard. CONCLUSIONS CEUS has an excellent safety profile and shows a high diagnostic accuracy in assessing HCC compared with corresponding results from CT scans.
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Affiliation(s)
- Vincent Schwarze
- Vincent Schwarze, Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Marchioninistrasse 15, 81379 Munich, Germany.
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Schwarze V, Marschner C, Rübenthaler J, Negrão de Figueiredo G, Clevert DA. Overview of ultrasound applications for assessing scrotal disorders. J Ultrasound Med 2020; 39:1047-1056. [PMID: 31840876 DOI: 10.1002/jum.15197] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 11/20/2019] [Accepted: 11/29/2019] [Indexed: 06/10/2023]
Abstract
The scrotum may be affected by a plethora of different disorders such as infections, vasculopathies, trauma, and manifestations of primary and secondary malignant masses. In addition to the patient's medical history and clinical examination, ultrasound represents the imaging modality of choice to assess scrotal disorders. Time-consuming contrast-enhanced ultrasound and elastography can provide further information to distinguish between benign and malignant testicular mass lesions. The following invited Special Communication gives a comprehensive overview of differential diagnoses of the scrotum and their corresponding sonomorphologic correlates based on representative cases of the Interdisciplinary Ultrasound Center of the University Hospital Munich.
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Affiliation(s)
- Vincent Schwarze
- Department of Radiology, Ludwig-Maximilians-University Munich, Grosshadern Campus, Munich, Germany
| | - Constantin Marschner
- Department of Radiology, Ludwig-Maximilians-University Munich, Grosshadern Campus, Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, Ludwig-Maximilians-University Munich, Grosshadern Campus, Munich, Germany
| | | | - Dirk-Andre Clevert
- Department of Radiology, Ludwig-Maximilians-University Munich, Grosshadern Campus, Munich, Germany
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Schwarze V, Marschner C, Sabel B, de Figueiredo GN, Marcon J, Ingrisch M, Knösel T, Rübenthaler J, Clevert DA. Multiparametric ultrasonographic analysis of testicular tumors: a single-center experience in a collective of 49 patients. Scand J Urol 2020; 54:241-247. [PMID: 32449437 DOI: 10.1080/21681805.2020.1765863] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Purpose: The aim of the present retrospective single-center study is to evaluate the diagnostic performance of multiparametric ultrasonography for characterizing testicular tumors.Method: Forty-nine patients with testicular tumors, 36 of malignant vs 13 of benign entity, were included in this retrospective single-center study on whom multiparametric sonography, encompassing native B-mode, Color Doppler, contrast-enhanced ultrasound (CEUS) and elastography, was performed between 2011-2018. In 48 of 49 patients, findings from multiparametric analysis were correlated with histopathological results. The applied contrast agent for CEUS was a second-generation blood pool agent. Ultrasonography examinations were performed and interpreted by a single experienced radiologist with more than 15 years of experience (EFSUMB Level 3).Results: Multiparametric ultrasonography was successfully performed in all included patients without any adverse effects. Concomitant testicular microlithiasis, rapid arterial wash-in, elevated values for perfusion quantification - Peak Enhancement (PE), Wash-in Area Under the Curve (WiAUC) and Wash-in Perfusion Index (WiPI) - and higher shear wave velocities were significantly associated with malignancy.Conclusions: Multiparametric ultrasonography depicts a non-ionizing, directly accessible and cost-effective imaging modality that allows for the extensive characterization of testicular tumors, thereby helping to discriminate between malignant and benign entity of testicular tumors.
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Affiliation(s)
- Vincent Schwarze
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Constantin Marschner
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Bastian Sabel
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | | | - Julian Marcon
- Department of Urology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Michael Ingrisch
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Thomas Knösel
- Institute of Pathology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Dirk-André Clevert
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
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Marschner CA, Ruebenthaler J, Schwarze V, Negrão de Figueiredo G, Zhang L, Clevert DA. Comparison of computed tomography (CT), magnetic resonance imaging (MRI) and contrast-enhanced ultrasound (CEUS) in the evaluation of unclear renal lesions. ROFO-FORTSCHR RONTG 2020; 192:1053-1059. [PMID: 32294790 DOI: 10.1055/a-1127-3371] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE To compare the sensitivity and specificity of contrast-enhanced ultrasound (CEUS), computed tomography (CT) and magnetic resonance imaging (MRI) in the evaluation of unclear renal lesions to the histopathological outcome. MATERIALS AND METHODS A total of 255 patients with a single unclear renal mass with initial imaging studies between 2005 and 2015 were included. Patient ages ranged from 18 to 86 with (mean age 62 years; SD ± 13). CEUS (255 patients), CT (88 out of 255 patients; 34.5 %) and MRI (36 out of 255 patients; 14.1 %) were used for determining malignancy or benignancy and initial findings were correlated with the histopathological outcome. RESULTS CEUS showed a sensitivity of 99.1 % (95 % confidence interval (CI): 96.7 %, 99.9 %), a specificity of 80.5 % (95 % CI: 65.1 %, 91.2 %), a positive predictive value (PPV) of 96.4 % (95 % CI: 93.0 %, 98.4 %) and a negative predictive value (NPV) of 94.3 % (95 % CI: 80.8 %, 99.3 %). CT showed a sensitivity of 97.1 % (95 % CI: 89.9 %, 99.6 %), a specificity of 47.4 % (95 % CI: 24.4 %, 71.1 %), a PPV of 87.0 % (95 % CI: 77.4 %, 93.6 %) and a NPV of 81.8 % (95 % CI: 48.2 %, 97.7 %). MRI showed a sensitivity of 96.4 % (95 % CI: 81.7 %, 99.9 %), a specificity of 75.0 % (95 % CI: 34.9 %, 96.8 %), a PPV of 93.1 % (95 % CI: 77.2 %, 99.2 %) and a NPV of 85.7 % (95 % CI: 42.1 %, 99.6 %). Out of the 212 malignant lesions a total of 130 clear cell renal carcinomas, 59 papillary renal cell carcinomas, 7 chromophobe renal cell carcinomas, 4 combined clear cell and papillary renal cell carcinomas and 12 other malignant lesions, e. g. metastases, were diagnosed. Out of the 43 benign lesions a total 10 angiomyolipomas, 3 oncocytomas, 8 benign renal cysts and 22 other benign lesions, e. g. renal adenomas were diagnosed. Using CEUS, 10 lesions were falsely identified as malignant or benign, whereas 8 lesions were false positive and 2 lesions false negative. CONCLUSION CEUS is an useful method which can be additionally used to clinically differentiate between malignant and benign renal lesions. CEUS shows a comparable sensitivity, specificity, PPV and NPV to CT and MRI. In daily clinical routine, patients with contraindications for other imaging modalities can particularly benefit using this method. KEY POINTS · Wide availability. · Safe applicability in patients with known renal insufficiency or allergies to iodine or gadolinium. · Comparable sensitivity, specificity, PPV and NPV to CT and MRT. · May lead to a reduction in interventional radiological or surgical interventions. CITATION FORMAT · Marschner CA, Ruebenthaler J, Schwarze V et al. Comparison of computed tomography (CT), magnetic resonance imaging (MRI) and contrast-enhanced ultrasound (CEUS) in the evaluation of unclear renal lesions. Fortschr Röntgenstr 2020; 192: 1053 - 1058.
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Affiliation(s)
| | | | - Vincent Schwarze
- Department of Radiology, Ludwig-Maximilians-University Munich, Germany
| | | | - Lan Zhang
- Department of Radiology, Ludwig-Maximilians-University Munich, Germany
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Schwarze V, Marschner C, Negrão de Figueiredo G, Mueller-Peltzer K, Neumann J, Rübenthaler J, Clevert DA. SonoVue® Does Not Appear to Cross the Placenta as Observed During an Examination Aimed at Confirming a Diagnosis of Liver Echinococcosis in a Pregnant Woman. Ultraschall Med 2020; 41:146-147. [PMID: 30731478 DOI: 10.1055/a-0837-0791] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Affiliation(s)
- Vincent Schwarze
- Department of Radiology, Interdisciplinary Ultrasound Center, Hospital of the Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Constantin Marschner
- Department of Radiology, Interdisciplinary Ultrasound Center, Hospital of the Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Giovanna Negrão de Figueiredo
- Department of Radiology, Interdisciplinary Ultrasound Center, Hospital of the Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Katharina Mueller-Peltzer
- Department of Radiology, Interdisciplinary Ultrasound Center, Hospital of the Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Jens Neumann
- Institute of Pathology, Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, Interdisciplinary Ultrasound Center, Hospital of the Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Dirk-André Clevert
- Department of Radiology, Interdisciplinary Ultrasound Center, Hospital of the Ludwig-Maximilians-University Munich (LMU), Munich, Germany
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Schwarze V, Marschner C, Negrão de Figueiredo G, Knösel T, Rübenthaler J, Clevert DA. Single-center study: the diagnostic performance of contrast-enhanced ultrasound (CEUS) for assessing renal oncocytoma. Scand J Urol 2020; 54:135-140. [PMID: 32162575 DOI: 10.1080/21681805.2020.1736621] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Purpose: The aim of the present retrospective single-center study is to evaluate the diagnostic performance of contrast-enhanced ultrasound (CEUS) in the evaluation of renal oncocytoma.Method: Thirteen patients with histopathologically confirmed renal oncocytoma and 26 patients with histopathologically confirmed renal cell carcinoma were included in this retrospective single-center study on whom CEUS was performed between 2005 and 2015. The applied contrast agent was a second-generation blood pool agent. CEUS examinations were performed and interpreted by a single radiologist with more than 15 years of experience (EFSUMB Level 3).Results: CEUS examinations were successfully performed in all included patients without any adverse effects. Renal oncocytomas showed varying echogenicity (46% hypoechoic, 23% hyperechoic, 8% iso-/hyperechoic, 8% isoechoic). In two cases renal oncocytoma only demarcated upon i.v. application of contrast medium. In bilateral oncocytosis, lesions presented as hyperechoic. Only 23% of renal oncocytomas showed slight vascularization using Color Doppler. No oncocytoma-specific pattern of microperfusion could be elucidated: 85% of the oncocytomas presented hyperenhancing, of whom 50% also showed delayed venous wash-out; 8% of renal oncocytomas showed venous wash-out without early arterial hyperenhancement.Conclusions: Within the frame of the present study and in line with the recent state of knowledge, no specific sonomorphological feature - including CEUS - could be detected allowing for adequate discrimination between oncocytoma and renal cell carcinoma.
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Affiliation(s)
- Vincent Schwarze
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Constantin Marschner
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | | | - Thomas Knösel
- Institute of Pathology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
| | - Dirk-André Clevert
- Department of Radiology, Ludwig-Maximilians-University Munich - Grosshadern Campus, Munich, Germany
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Schwarze V, Marschner C, Negrão de Figueiredo G, Rübenthaler J, Clevert DA. Single-Center Study: Evaluating the Diagnostic Performance and Safety of Contrast-Enhanced Ultrasound (CEUS) in Pregnant Women to Assess Hepatic Lesions. Ultraschall Med 2020; 41:29-35. [PMID: 31362328 DOI: 10.1055/a-0973-8517] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
BACKGROUND Ultrasound is an essential imaging tool for evaluating physiological and pathological fetal or maternal conditions during pregnancy. Published data is limited with respect to the application of CEUS during pregnancy. CEUS has already been safely applied for assessing uteroplacental blood flow, cesarean scar pregnancy and invasive placenta percreta. CT and MRI scans during pregnancy must be thoroughly evaluated due to harmful ionizing radiation and cerebral gadolinium deposition, respectively. PURPOSE The aim of the present retrospective single-center study is to assess the diagnostic performance and safety of CEUS during pregnancy to evaluate hepatic lesions of unknown entity. METHODS 6 pregnant patients who underwent CEUS between 2005 and 2014 (mean age: 32 years; mean weeks of pregnancy: 28 weeks) were included in this study. The applied contrast agent was a second-generation blood-pool agent (SonoVue®, Bracco, Milan, Italy). CEUS examinations were performed and interpreted by a single radiologist with experience since 2000 (EFSUMB Level 3). RESULTS CEUS was safely performed on all included pregnant women without the occurrence of adverse fetal or maternal events. In the context of the present study, CEUS helped to safely differentiate hepatic metastases, focal nodular hyperplasia, atypical hemangioma, hepatic arteriovenous malformation and cystic echinococcosis. In two patients CEUS determined immediate therapy. CONCLUSION Although not clinically approved in obstetrics so far, CEUS is a safe imaging modality which, in addition to B-mode and color Doppler ultrasonography, may be applied during pregnancy for further medical indications and to provide helpful information.
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Affiliation(s)
- Vincent Schwarze
- Department of Radiology, Ludwig-Maximilians-University of Munich - Großhadern Campus, Munich, Germany
| | - Constantin Marschner
- Department of Radiology, Ludwig-Maximilians-University of Munich - Großhadern Campus, Munich, Germany
| | | | - Johannes Rübenthaler
- Department of Radiology, Ludwig-Maximilians-University of Munich - Großhadern Campus, Munich, Germany
| | - Dirk-André Clevert
- Department of Radiology, Ludwig-Maximilians-University of Munich - Großhadern Campus, Munich, Germany
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Negrão de Figueiredo G, Ingrisch M, Fallenberg EM. Digital Analysis in Breast Imaging. Breast Care (Basel) 2019; 14:142-150. [PMID: 31316312 DOI: 10.1159/000501099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 04/25/2019] [Accepted: 05/21/2019] [Indexed: 01/02/2023] Open
Abstract
Breast imaging is a multimodal approach that plays an essential role in the diagnosis of breast cancer. Mammography, sonography, magnetic resonance, and image-guided biopsy are imaging techniques used to search for malignant changes in the breast or precursors of malignant changes in, e.g., screening programs or follow-ups after breast cancer treatment. However, these methods still have some disadvantages such as interobserver variability and the mammography sensitivity in women with radiologically dense breasts. In order to overcome these difficulties and decrease the number of false positive findings, improvements in imaging analysis with the help of artificial intelligence are constantly being developed and tested. In addition, the extraction and correlation of imaging features with special tumor characteristics and genetics of the patients in order to get more information about treatment response, prognosis, and also cancer risk are coming more and more in focus. The aim of this review is to address recent developments in digital analysis of images and demonstrate their potential value in multimodal breast imaging.
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Affiliation(s)
| | - Michael Ingrisch
- Department of Radiology, Ludwig Maximilian University of Munich - Grosshadern Campus, Munich, Germany
| | - Eva Maria Fallenberg
- Department of Radiology, Ludwig Maximilian University of Munich - Grosshadern Campus, Munich, Germany
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Negrão de Figueiredo G, Müller-Peltzer K, Schwarze V, Rübenthaler J, Clevert DA. Ultrasound and contrast enhanced ultrasound imaging in the diagnosis of acute aortic pathologies. VASA 2018; 48:17-22. [PMID: 30403367 DOI: 10.1024/0301-1526/a000758] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Conventional ultrasound is worldwide the first-line imaging modality for the prompt diagnosis in the daily practice because it is a cost-effective and easy to perform technique. The additional application of contrast media has been used to enhance the intravascular contrast and to improve the imaging diagnostic accuracy in the detection, classification and follow-up of vascular pathologies. Contrast-enhanced ultrasound has the advantage of being a safe, fast and dynamic non-invasive imaging tool with excellent results in the diagnosis of acute aortic pathologies, especially the detection of endoleaks after endovascular aneurysm repair. This review describes the diagnostic and therapeutic roles of ultrasound and contrast-enhanced ultrasound imaging in the most common vascular pathologies such as aortic dissections, aneurysms and endoleaks. Keywords: Endoleak, contrast media, ultrasonography, aorta.
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Affiliation(s)
- Giovanna Negrão de Figueiredo
- 1 Department of Radiology, Interdisciplinary Ultrasound-Center Ludwig-Maximilians-University of Munich - Grosshadern Campus, Munich, Germany
| | - Katharina Müller-Peltzer
- 1 Department of Radiology, Interdisciplinary Ultrasound-Center Ludwig-Maximilians-University of Munich - Grosshadern Campus, Munich, Germany
| | - Vincent Schwarze
- 1 Department of Radiology, Interdisciplinary Ultrasound-Center Ludwig-Maximilians-University of Munich - Grosshadern Campus, Munich, Germany
| | - Johannes Rübenthaler
- 1 Department of Radiology, Interdisciplinary Ultrasound-Center Ludwig-Maximilians-University of Munich - Grosshadern Campus, Munich, Germany
| | - Dirk-André Clevert
- 1 Department of Radiology, Interdisciplinary Ultrasound-Center Ludwig-Maximilians-University of Munich - Grosshadern Campus, Munich, Germany
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