LIVIVO - Search results -

Search results

Result 1 - 10 of total 64

Search options

Article ; Online: Computed Tomography of the Head : A Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose.

Dieckmeyer, Michael / Sollmann, Nico / Kupfer, Karina / Löffler, Maximilian T / Paprottka, Karolin J / Kirschke, Jan S / Baum, Thomas

Clinical neuroradiology

2023 Volume 33, Issue 3, Page(s) 591–610

Abstract: In 1971, the first computed tomography (CT) scan was performed on a patient's brain. Clinical CT systems were introduced in 1974 and dedicated to head imaging only. New technological developments, broader availability, and the clinical success of CT led ... ...

Abstract	In 1971, the first computed tomography (CT) scan was performed on a patient's brain. Clinical CT systems were introduced in 1974 and dedicated to head imaging only. New technological developments, broader availability, and the clinical success of CT led to a steady growth in examination numbers. Most frequent indications for non-contrast CT (NCCT) of the head include the assessment of ischemia and stroke, intracranial hemorrhage and trauma, while CT angiography (CTA) has become the standard for first-line cerebrovascular evaluation; however, resulting improvements in patient management and clinical outcomes come at the cost of radiation exposure, increasing the risk for secondary morbidity. Therefore, radiation dose optimization should always be part of technical advancements in CT imaging but how can the dose be optimized? What dose reduction can be achieved without compromising diagnostic value, and what is the potential of the upcoming technologies artificial intelligence and photon counting CT? In this article, we look for answers to these questions by reviewing dose reduction techniques with respect to the major clinical indications of NCCT and CTA of the head, including a brief perspective on what to expect from current and future developments in CT technology with respect to radiation dose optimization.
MeSH term(s)	Humans ; Artificial Intelligence ; Radiation Dosage ; Tomography, X-Ray Computed/methods ; Computed Tomography Angiography ; Angiography ; Radiographic Image Interpretation, Computer-Assisted/methods
Language	English
Publishing date	2023-03-02
Publishing country	Germany
Document type	Systematic Review ; Journal Article ; Review
ZDB-ID	2234662-4
ISSN	1869-1447 ; 0939-7116 ; 1869-1439
ISSN (online)	1869-1447
ISSN	0939-7116 ; 1869-1439
DOI	10.1007/s00062-023-01271-5
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3413: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾

Article: Patient-Specific Finite Element Modeling of the Whole Lumbar Spine Using Clinical Routine Multi-Detector Computed Tomography (MDCT) Data-A Pilot Study.

Rayudu, Nithin Manohar / Subburaj, Karupppasamy / Mohan, Rajesh Elara / Sollmann, Nico / Dieckmeyer, Michael / Kirschke, Jan S / Baum, Thomas

Biomedicines

2022 Volume 10, Issue 7

Abstract: 1) Background: To study the feasibility of developing finite element (FE) models of the whole lumbar spine using clinical routine multi-detector computed tomography (MDCT) scans to predict failure load (FL) and range of motion (ROM) parameters. (2) ... ...

Abstract	(1) Background: To study the feasibility of developing finite element (FE) models of the whole lumbar spine using clinical routine multi-detector computed tomography (MDCT) scans to predict failure load (FL) and range of motion (ROM) parameters. (2) Methods: MDCT scans of 12 subjects (6 healthy controls (HC), mean age ± standard deviation (SD): 62.16 ± 10.24 years, and 6 osteoporotic patients (OP), mean age ± SD: 65.83 ± 11.19 years) were included in the current study. Comprehensive FE models of the lumbar spine (5 vertebrae + 4 intervertebral discs (IVDs) + ligaments) were generated (L1−L5) and simulated. The coefficients of correlation (ρ) were calculated to investigate the relationship between FE-based FL and ROM parameters and bone mineral density (BMD) values of L1−L3 derived from MDCT (BMDQCT-L1-3). Finally, Mann−Whitney U tests were performed to analyze differences in FL and ROM parameters between HC and OP cohorts. (3) Results: Mean FE-based FL value of the HC cohort was significantly higher than that of the OP cohort (1471.50 ± 275.69 N (HC) vs. 763.33 ± 166.70 N (OP), p < 0.01). A strong correlation of 0.8 (p < 0.01) was observed between FE-based FL and BMDQCT-L1-L3 values. However, no significant differences were observed between ROM parameters of HC and OP cohorts (p = 0.69 for flexion; p = 0.69 for extension; p = 0.47 for lateral bending; p = 0.13 for twisting). In addition, no statistically significant correlations were observed between ROM parameters and BMDQCT- L1-3. (4) Conclusions: Clinical routine MDCT data can be used for patient-specific FE modeling of the whole lumbar spine. ROM parameters do not seem to be significantly altered between HC and OP. In contrast, FE-derived FL may help identify patients with increased osteoporotic fracture risk in the future.
Language	English
Publishing date	2022-06-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2720867-9
ISSN	2227-9059
ISSN	2227-9059
DOI	10.3390/biomedicines10071567
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Gender-, Age- and Region-Specific Characterization of Vertebral Bone Microstructure Through Automated Segmentation and 3D Texture Analysis of Routine Abdominal CT.

Dieckmeyer, Michael / Sollmann, Nico / El Husseini, Malek / Sekuboyina, Anjany / Löffler, Maximilian T / Zimmer, Claus / Kirschke, Jan S / Subburaj, Karupppasamy / Baum, Thomas

Frontiers in endocrinology

2022 Volume 12, Page(s) 792760

Abstract: Purpose: To identify long-term reproducible texture features (TFs) of spinal computed tomography (CT), and characterize variations with regard to gender, age and vertebral level using our automated quantification framework.: Methods: We performed ... ...

Abstract	Purpose: To identify long-term reproducible texture features (TFs) of spinal computed tomography (CT), and characterize variations with regard to gender, age and vertebral level using our automated quantification framework. Methods: We performed texture analysis (TA) on baseline and follow-up CT (follow-up duration: 30-90 days) of 21 subjects (8 females, 13 males, age at baseline 61.2 ± 9.2 years) to determine long-term reproducibility. TFs with a long-term reproducibility error Δ Results: Six of the 24 extracted TFs had Δ Conclusion: Long-term reproducible CT-based TFs of the thoracolumbar spine were established and characterized in a predominantly older adult study population. The gender-, age- and vertebral-level-specific values may serve as foundation for osteoporosis diagnostics and facilitate future studies investigating vertebral microstructure.
MeSH term(s)	Age Factors ; Aged ; Bone Density ; Female ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional ; Lumbar Vertebrae/diagnostic imaging ; Male ; Middle Aged ; Multidetector Computed Tomography ; Neural Networks, Computer ; Radiography, Abdominal ; Sex Factors ; Thoracic Vertebrae/diagnostic imaging
Language	English
Publishing date	2022-01-27
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2592084-4
ISSN	1664-2392
ISSN	1664-2392
DOI	10.3389/fendo.2021.792760
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Computed Tomography of the Spine : Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose.

Dieckmeyer, Michael / Sollmann, Nico / Kupfer, Karina / Löffler, Maximilian T / Paprottka, Karolin J / Kirschke, Jan S / Baum, Thomas

Clinical neuroradiology

2022 Volume 33, Issue 2, Page(s) 271–291

Abstract: The introduction of the first whole-body CT scanner in 1974 marked the beginning of cross-sectional spine imaging. In the last decades, the technological advancement, increasing availability and clinical success of CT led to a rapidly growing number of ... ...

Abstract	The introduction of the first whole-body CT scanner in 1974 marked the beginning of cross-sectional spine imaging. In the last decades, the technological advancement, increasing availability and clinical success of CT led to a rapidly growing number of CT examinations, also of the spine. After initially being primarily used for trauma evaluation, new indications continued to emerge, such as assessment of vertebral fractures or degenerative spine disease, preoperative and postoperative evaluation, or CT-guided interventions at the spine; however, improvements in patient management and clinical outcomes come along with higher radiation exposure, which increases the risk for secondary malignancies. Therefore, technical developments in CT acquisition and reconstruction must always include efforts to reduce the radiation dose. But how exactly can the dose be reduced? What amount of dose reduction can be achieved without compromising the clinical value of spinal CT examinations and what can be expected from the rising stars in CT technology: artificial intelligence and photon counting CT? In this article, we try to answer these questions by systematically reviewing dose reduction techniques with respect to the major clinical indications of spinal CT. Furthermore, we take a concise look on the dose reduction potential of future developments in CT hardware and software.
MeSH term(s)	Humans ; Artificial Intelligence ; Cross-Sectional Studies ; Radiation Dosage ; Tomography, X-Ray Computed/methods ; Spine/diagnostic imaging
Language	English
Publishing date	2022-11-22
Publishing country	Germany
Document type	Systematic Review ; Journal Article ; Review
ZDB-ID	2234662-4
ISSN	1869-1447 ; 0939-7116 ; 1869-1439
ISSN (online)	1869-1447
ISSN	0939-7116 ; 1869-1439
DOI	10.1007/s00062-022-01227-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3413: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article: Long-term reproducibility of opportunistically assessed vertebral bone mineral density and texture features in routine clinical multi-detector computed tomography using an automated segmentation framework.

Bodden, Jannis / Dieckmeyer, Michael / Sollmann, Nico / Rühling, Sebastian / Prucker, Philipp / Löffler, Maximilian T / Burian, Egon / Subburaj, Karupppasamy / Zimmer, Claus / Kirschke, Jan S / Baum, Thomas

Quantitative imaging in medicine and surgery

2023 Volume 13, Issue 9, Page(s) 5472–5482

Abstract: Background: To investigate reproducibility of texture features and volumetric bone mineral density (vBMD) extracted from trabecular bone in the thoracolumbar spine in routine clinical multi-detector computed tomography (MDCT) data in a single scanner ... ...

Abstract	Background: To investigate reproducibility of texture features and volumetric bone mineral density (vBMD) extracted from trabecular bone in the thoracolumbar spine in routine clinical multi-detector computed tomography (MDCT) data in a single scanner environment. Methods: Patients who underwent two routine clinical thoraco-abdominal MDCT exams at a single scanner with a time interval of 6 to 26 months (n=203, 131 males; time interval mean, 13 months; median, 12 months) were included in this observational study. Exclusion criteria were metabolic and hematological disorders, bone metastases, use of bone-active medications, and history of osteoporotic vertebral fractures (VFs) or prior diagnosis of osteoporosis. A convolutional neural network (CNN)-based framework was used for automated spine labeling and segmentation (T5-L5), asynchronous Hounsfield unit (HU)-to-BMD calibration, and correction for the intravenous contrast medium phase. Vertebral vBMD and six texture features [variance Results: SRE, LRE, RLN, and RP exhibited substantial reproducibility with RMSCV-values below 2%, for both sexes and at all spine levels, while vBMD was less reproducible (RMSCV =11.9-16.2%). Entropy showed highest variability (RMSCV =4.34-7.69%) due to statistically significant increases [range, mean ± standard deviation: (4.40±5.78)% to (8.36±8.66)%, P<0.001]. RMSCV of variance Conclusions: Opportunistic assessment of texture features in a single scanner environment using the presented CNN-based framework yields substantial reproducibility, outperforming vBMD reproducibility. Lowest scan-rescan variability was found for higher-order texture features. Further studies are warranted to determine, whether microarchitectural changes to the trabecular bone may be assessed through texture features.
Language	English
Publishing date	2023-08-09
Publishing country	China
Document type	Journal Article
ZDB-ID	2653586-5
ISSN	2223-4306 ; 2223-4292
ISSN (online)	2223-4306
ISSN	2223-4292
DOI	10.21037/qims-23-19
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans.

Bodden, Jannis / Dieckmeyer, Michael / Sollmann, Nico / Burian, Egon / Rühling, Sebastian / Löffler, Maximilian T / Sekuboyina, Anjany / El Husseini, Malek / Zimmer, Claus / Kirschke, Jan S / Baum, Thomas

Frontiers in endocrinology

2023 Volume 14, Page(s) 1207949

Abstract: Objectives: To investigate vertebral osteoporotic fracture (VF) prediction by automatically extracted trabecular volumetric bone mineral density (vBMD) from routine CT, and to compare the model with fracture prevalence-based prediction models.: ... ...

Abstract	Objectives: To investigate vertebral osteoporotic fracture (VF) prediction by automatically extracted trabecular volumetric bone mineral density (vBMD) from routine CT, and to compare the model with fracture prevalence-based prediction models. Methods: This single-center retrospective study included patients who underwent two thoraco-abdominal CT scans during clinical routine with an average inter-scan interval of 21.7 ± 13.1 months (range 5-52 months). Automatic spine segmentation and vBMD extraction was performed by a convolutional neural network framework (anduin.bonescreen.de). Mean vBMD was calculated for levels T5-8, T9-12, and L1-5. VFs were identified by an expert in spine imaging. Odds ratios (ORs) for prevalent and incident VFs were calculated for vBMD (per standard deviation decrease) at each level, for baseline VF prevalence (yes/no), and for baseline VF count (n) using logistic regression models, adjusted for age and sex. Models were compared using Akaike's and Bayesian information criteria (AIC & BIC). Results: 420 patients (mean age, 63 years ± 9, 276 males) were included in this study. 40 (25 female) had prevalent and 24 (13 female) had incident VFs. Individuals with lower vBMD at any spine level had higher odds for VFs (L1-5, prevalent VF: OR,95%-CI,p: 2.2, 1.4-3.5,p=0.001; incident VF: 3.5, 1.8-6.9,p<0.001). In contrast, VF status (2.15, 0.72-6.43,p=0.170) and count (1.38, 0.89-2.12,p=0.147) performed worse in incident VF prediction. Information criteria revealed best fit for vBMD-based models (AIC vBMD=165.2; VF status=181.0; count=180.7). Conclusions: VF prediction based on automatically extracted vBMD from routine clinical MDCT outperforms prediction models based on VF status and count. These findings underline the importance of opportunistic quantitative osteoporosis screening in clinical routine MDCT data.
MeSH term(s)	Male ; Humans ; Female ; Middle Aged ; Bone Density/physiology ; Spinal Fractures/diagnostic imaging ; Spinal Fractures/epidemiology ; Retrospective Studies ; Osteoporotic Fractures/diagnostic imaging ; Osteoporotic Fractures/epidemiology ; Osteoporotic Fractures/etiology ; Bayes Theorem ; Tomography, X-Ray Computed/methods ; Prevalence
Language	English
Publishing date	2023-07-17
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2592084-4
ISSN	1664-2392
ISSN	1664-2392
DOI	10.3389/fendo.2023.1207949
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis.

Schlaeger, Sarah / Shit, Suprosanna / Eichinger, Paul / Hamann, Marco / Opfer, Roland / Krüger, Julia / Dieckmeyer, Michael / Schön, Simon / Mühlau, Mark / Zimmer, Claus / Kirschke, Jan S / Wiestler, Benedikt / Hedderich, Dennis M

Insights into imaging

2023 Volume 14, Issue 1, Page(s) 123

Abstract: Background: Contrast-enhancing (CE) lesions are an important finding on brain magnetic resonance imaging (MRI) in patients with multiple sclerosis (MS) but can be missed easily. Automated solutions for reliable CE lesion detection are emerging; however, ...

Abstract	Background: Contrast-enhancing (CE) lesions are an important finding on brain magnetic resonance imaging (MRI) in patients with multiple sclerosis (MS) but can be missed easily. Automated solutions for reliable CE lesion detection are emerging; however, independent validation of artificial intelligence (AI) tools in the clinical routine is still rare. Methods: A three-dimensional convolutional neural network for CE lesion segmentation was trained externally on 1488 datasets of 934 MS patients from 81 scanners using concatenated information from FLAIR and T1-weighted post-contrast imaging. This externally trained model was tested on an independent dataset comprising 504 T1-weighted post-contrast and FLAIR image datasets of MS patients from clinical routine. Two neuroradiologists (R1, R2) labeled CE lesions for gold standard definition in the clinical test dataset. The algorithmic output was evaluated on both patient- and lesion-level. Results: On a patient-level, recall, specificity, precision, and accuracy of the AI tool to predict patients with CE lesions were 0.75, 0.99, 0.91, and 0.96. The agreement between the AI tool and both readers was within the range of inter-rater agreement (Cohen's kappa; AI vs. R1: 0.69; AI vs. R2: 0.76; R1 vs. R2: 0.76). On a lesion-level, false negative lesions were predominately found in infratentorial location, significantly smaller, and at lower contrast than true positive lesions (p < 0.05). Conclusions: AI-based identification of CE lesions on brain MRI is feasible, approaching human reader performance in independent clinical data and might be of help as a second reader in the neuroradiological assessment of active inflammation in MS patients. Critical relevance statement: Al-based detection of contrast-enhancing multiple sclerosis lesions approaches human reader performance, but careful visual inspection is still needed, especially for infratentorial, small and low-contrast lesions.
Language	English
Publishing date	2023-07-16
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2543323-4
ISSN	1869-4101
ISSN	1869-4101
DOI	10.1186/s13244-023-01460-3
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Immunoinformatic Analysis Reveals Antigenic Heterogeneity of Epstein-Barr Virus Is Immune-Driven.

Cirac, Ana / Poirey, Remy / Dieckmeyer, Michael / Witter, Klaus / Delecluse, Henri-Jacques / Behrends, Uta / Mautner, Josef

Frontiers in immunology

2021 Volume 12, Page(s) 796379

Abstract: Whole genome sequencing of Epstein-Barr virus (EBV) isolates from around the world has uncovered pervasive strain heterogeneity, but the forces driving strain diversification and the impact on immune recognition remained largely unknown. Using a data ... ...

Abstract	Whole genome sequencing of Epstein-Barr virus (EBV) isolates from around the world has uncovered pervasive strain heterogeneity, but the forces driving strain diversification and the impact on immune recognition remained largely unknown. Using a data mining approach, we analyzed more than 300 T-cell epitopes in 168 published EBV strains. Polymorphisms were detected in approximately 65% of all CD8+ and 80% of all CD4+ T-cell epitopes and these numbers further increased when epitope flanking regions were included. Polymorphisms in CD8+ T-cell epitopes often involved MHC anchor residues and resulted in changes of the amino acid subgroup, suggesting that only a limited number of conserved T-cell epitopes may represent generic target antigens against different viral strains. Although considered the prototypic EBV strain, the rather low degree of overlap with most other viral strains implied that B95.8 may not represent the ideal reference strain for T-cell epitopes. Instead, a combinatorial library of consensus epitopes may provide better targets for diagnostic and therapeutic purposes when the infecting strain is unknown. Polymorphisms were significantly enriched in epitope versus non-epitope protein sequences, implicating immune selection in driving strain diversification. Remarkably, CD4+ T-cell epitopes in EBNA2, EBNA-LP, and the EBNA3 family appeared to be under negative selection pressure, hinting towards a beneficial role of immune responses against these latency type III antigens in virus biology. These findings validate this immunoinformatics approach for providing novel insight into immune targets and the intricate relationship of host defense and virus evolution that may also pertain to other pathogens.
MeSH term(s)	Algorithms ; Antigenic Variation ; Antigens, Viral/genetics ; Antigens, Viral/immunology ; CD4-Positive T-Lymphocytes/immunology ; CD4-Positive T-Lymphocytes/virology ; CD8-Positive T-Lymphocytes/immunology ; CD8-Positive T-Lymphocytes/virology ; Data Mining ; Databases, Genetic ; Epitopes, T-Lymphocyte/genetics ; Epitopes, T-Lymphocyte/immunology ; Genetic Heterogeneity ; Herpesvirus 4, Human/genetics ; Herpesvirus 4, Human/immunology ; Polymorphism, Genetic
Chemical Substances	Antigens, Viral ; Epitopes, T-Lymphocyte
Language	English
Publishing date	2021-12-16
Publishing country	Switzerland
Document type	Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2606827-8
ISSN	1664-3224 ; 1664-3224
ISSN (online)	1664-3224
ISSN	1664-3224
DOI	10.3389/fimmu.2021.796379
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Predicting Vertebral Bone Strength Using Finite Element Analysis for Opportunistic Osteoporosis Screening in Routine Multidetector Computed Tomography Scans-A Feasibility Study.

Rayudu, Nithin Manohar / Dieckmeyer, Michael / Löffler, Maximilian T / Noël, Peter B / Kirschke, Jan S / Baum, Thomas / Subburaj, Karupppasamy

Frontiers in endocrinology

2021 Volume 11, Page(s) 526332

Abstract: Purpose: To investigate the feasibility of using routine clinical multidetector computed tomography (MDCT) scans for conducting finite element (FE) analysis to predict vertebral bone strength for opportunistic osteoporosis screening.: Methods: ... ...

Abstract	Purpose: To investigate the feasibility of using routine clinical multidetector computed tomography (MDCT) scans for conducting finite element (FE) analysis to predict vertebral bone strength for opportunistic osteoporosis screening. Methods: Routine abdominal MDCT with and without intravenous contrast medium (IVCM) of seven subjects (five male; two female; mean age: 71.86 ± 7.40 years) without any bone disease were used. FE analysis was performed on individual vertebrae (T11, T12, L1, and L2) including the posterior elements to investigate the effect of IVCM and slice thickness (1 and 3 mm) on vertebral bone strength. Another subset of data from subjects with Results: The FE-predicted failure loads obtained from routine MDCT scans were strongly correlated with those from without IVCM (R Conclusion: Routine clinical MDCT scans could be reliably used for assessment of fracture risk based on FE analysis and may be beneficial for patients who are at increased risk for osteoporotic fractures.
MeSH term(s)	Aged ; Biomechanical Phenomena/physiology ; Bone Density/physiology ; Feasibility Studies ; Female ; Finite Element Analysis ; Humans ; Lumbar Vertebrae/diagnostic imaging ; Male ; Mass Screening ; Middle Aged ; Multidetector Computed Tomography ; Osteoporosis/diagnostic imaging ; Retrospective Studies
Language	English
Publishing date	2021-01-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2592084-4
ISSN	1664-2392
ISSN	1664-2392
DOI	10.3389/fendo.2020.526332
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Differentiation of benign and malignant vertebral fractures using a convolutional neural network to extract CT-based texture features.

Goller, Sophia S / Foreman, Sarah C / Rischewski, Jon F / Weißinger, Jürgen / Dietrich, Anna-Sophia / Schinz, David / Stahl, Robert / Luitjens, Johanna / Siller, Sebastian / Schmidt, Vanessa F / Erber, Bernd / Ricke, Jens / Liebig, Thomas / Kirschke, Jan S / Dieckmeyer, Michael / Gersing, Alexandra S

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

2023 Volume 32, Issue 12, Page(s) 4314–4320

Abstract: Purpose: To assess the diagnostic performance of three-dimensional (3D) CT-based texture features (TFs) using a convolutional neural network (CNN)-based framework to differentiate benign (osteoporotic) and malignant vertebral fractures (VFs).: Methods! ...

Abstract	Purpose: To assess the diagnostic performance of three-dimensional (3D) CT-based texture features (TFs) using a convolutional neural network (CNN)-based framework to differentiate benign (osteoporotic) and malignant vertebral fractures (VFs). Methods: A total of 409 patients who underwent routine thoracolumbar spine CT at two institutions were included. VFs were categorized as benign or malignant using either biopsy or imaging follow-up of at least three months as standard of reference. Automated detection, labelling, and segmentation of the vertebrae were performed using a CNN-based framework ( https://anduin.bonescreen.de ). Eight TFs were extracted: Variance Results: Skewness Conclusion: Three-dimensional CT-based global TF skewness assessed using a CNN-based framework showed significant difference between benign and malignant thoracolumbar VFs and may therefore contribute to the clinical diagnostic work-up of patients with VFs.
MeSH term(s)	Humans ; Spinal Fractures/diagnosis ; Spine/pathology ; Neural Networks, Computer ; Tomography, X-Ray Computed/methods ; Osteoporotic Fractures/diagnosis
Language	English
Publishing date	2023-07-04
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1115375-1
ISSN	1432-0932 ; 0940-6719
ISSN (online)	1432-0932
ISSN	0940-6719
DOI	10.1007/s00586-023-07838-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Zs.A 3437: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

To top

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito