LIVIVO - Search results -

Search results

Result 1 - 10 of total 200

Search options

Article ; Online: Implementation of patient-reported outcome measures in a heart transplant recipient registry: First step toward a patient-centered approach.

Mahmoudi, Redouane / Moitie, Tiphaine / Dorent, Richard / Guillemin, Francis / Couchoud, Cécile

2022 Volume 36, Issue 8, Page(s) e14708

Abstract: Background: Heart transplantation (HTX) is a well-established treatment for suitable patients with end-stage heart failure, intended to prolong their survival and improve their health-related quality of life (HR-QoL). No international consensus exists, ... ...

Abstract	Background: Heart transplantation (HTX) is a well-established treatment for suitable patients with end-stage heart failure, intended to prolong their survival and improve their health-related quality of life (HR-QoL). No international consensus exists, however, about the preferred patient-reported outcomes (PROs) and their measures (PROMs) for heart transplant recipients. The purpose of this study, the first step in a mixed-method investigation, was to review the PROMs developed and used in this population to identify the instruments for measuring HR-QoL and adherence to immunosuppressive medications most appropriate for heart transplant patients. Methods: This systematic search of the literature in the PubMed database focused on the assessment of PROMs for patients after HTX. We analyzed 66 studies with cross-sectional, 28 with longitudinal, and 2 with mixed-methods designs, as well as 6 literature reviews. Results: These 102 articles used 115 different PROMs, which we categorized as generic HR-QoL instruments (n = 19), domain-specific instruments (n = 71), heart disease-specific instruments (n = 9), and heart transplant-specific instruments (n = 16). They cover different dimensions of HR-QoL and of immunosuppressive-drug experience, with diverse numbers of items, types of scales, and psychometric properties. Conclusions: Despite the abundance of instruments, PROMs for HTX can be improved to meet other patient expectations (i.e., by including important issues such as coping strategies, employment, social support, sexual relationships, spirituality, and beliefs), while paying attention to ease of use, reliability, validity, and the contribution of new technologies. A qualitative approach will complete our project of developing a patient-centered instrument for HTX patients.
MeSH term(s)	Cross-Sectional Studies ; Heart Transplantation ; Humans ; Patient Reported Outcome Measures ; Patient-Centered Care ; Quality of Life ; Registries ; Reproducibility of Results ; Surveys and Questionnaires
Language	English
Publishing date	2022-06-05
Publishing country	Denmark
Document type	Journal Article ; Review
ZDB-ID	639001-8
ISSN	1399-0012 ; 0902-0063
ISSN (online)	1399-0012
ISSN	0902-0063
DOI	10.1111/ctr.14708
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 2204: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.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 ; Online: Waitlist Outcomes in Candidates With Rare Causes of Heart Failure After Implementation of the 2018 French Heart Allocation Scheme.

Legeai, Camille / Coutance, Guillaume / Cantrelle, Christelle / Jasseron, Carine / Para, Marylou / Sebbag, Laurent / Battistella, Pascal / Kerbaul, François / Dorent, Richard

Circulation. Heart failure

2024 Volume 17, Issue 2, Page(s) e010837

Abstract: Background: In 2018, an algorithm-based allocation system for heart transplantation (HT) was implemented in France. Its effect on access to HT of patients with rare causes of heart failure (HF) has not been assessed.: Methods: In this national study, ...

Abstract	Background: In 2018, an algorithm-based allocation system for heart transplantation (HT) was implemented in France. Its effect on access to HT of patients with rare causes of heart failure (HF) has not been assessed. Methods: In this national study, including adults listed for HT between 2018 and 2020, we analyzed waitlist and posttransplant outcomes of candidates with rare causes of HF (restrictive cardiomyopathy [RCM], hypertrophic cardiomyopathy, and congenital heart disease). The primary end point was death on the waitlist or delisting for clinical deterioration. Secondary end points included access to HT and posttransplant mortality. The cumulative incidence of waitlist mortality estimated with competing risk analysis and incidence of transplantation were compared between diagnosis groups. The association of HF cause with outcomes was determined by Fine-Gray or Cox models. Results: Overall, 1604 candidates were listed for HT. At 1 year postlisting, 175 patients met the primary end point and 1040 underwent HT. Candidates listed for rare causes of HF significantly differed in baseline characteristics and had more frequent score exceptions compared with other cardiomyopathies (31.3%, 32.0%, 36.4%, and 16.7% for patients with hypertrophic cardiomyopathy, RCM, congenital heart disease, and other cardiomyopathies). The cumulative incidence of death on the waitlist and probability of HT were similar between diagnosis groups ( Conclusions: Our study shows equitable waitlist outcomes among HT candidates whatever the indication for transplantation with the new French allocation scheme.
MeSH term(s)	Adult ; Humans ; Heart Failure/diagnosis ; Heart Failure/surgery ; Heart Failure/complications ; Clinical Deterioration ; Cardiomyopathies/complications ; Heart Transplantation/adverse effects ; Cardiomyopathy, Hypertrophic/complications ; Cardiomyopathy, Restrictive/complications ; Heart Defects, Congenital ; Waiting Lists ; Retrospective Studies
Language	English
Publishing date	2024-02-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	2429459-7
ISSN	1941-3297 ; 1941-3289
ISSN (online)	1941-3297
ISSN	1941-3289
DOI	10.1161/CIRCHEARTFAILURE.123.010837
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 6745: Show issues

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

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Book ; Online: FastGeodis

Asad, Muhammad / Dorent, Reuben / Vercauteren, Tom

Fast Generalised Geodesic Distance Transform

2022

Abstract: The FastGeodis package provides an efficient implementation for computing Geodesic and Euclidean distance transforms (or a mixture of both), targeting efficient utilisation of CPU and GPU hardware. In particular, it implements the paralellisable raster ... ...

Abstract	The FastGeodis package provides an efficient implementation for computing Geodesic and Euclidean distance transforms (or a mixture of both), targeting efficient utilisation of CPU and GPU hardware. In particular, it implements the paralellisable raster scan method from Criminisi et al. (2009), where elements in a row (2D) or plane (3D) can be computed with parallel threads. This package is able to handle 2D as well as 3D data, where it achieves up to a 20x speedup on a CPU and up to a 74x speedup on a GPU as compared to an existing open-source library (Wang, 2020) that uses a non-parallelisable single-thread CPU implementation. The performance speedups reported here were evaluated using 3D volume data on an Nvidia GeForce Titan X (12 GB) with a 6-Core Intel Xeon E5-1650 CPU. Further in-depth comparison of performance improvements are discussed in the FastGeodis documentation: https://fastgeodis.readthedocs.io Comment: Accepted at Journal of Open Source Software (JOSS)
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Electrical Engineering and Systems Science - Image and Video Processing
Subject code	004
Publishing date	2022-07-26
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: France's New Lung Transplant Allocation System: Combining Equity With Proximity by Optimizing Geographic Boundaries Through the Supply/Demand Ratio.

Bayer, Florian / Dorent, Richard / Cantrelle, Christelle / Legeai, Camille / Kerbaul, François / Jacquelinet, Christian

Transplant international : official journal of the European Society for Organ Transplantation

2022 Volume 35, Page(s) 10049

Abstract: A new lung allocation system was introduced in France in September 2020. It aimed to reduce geographic disparities in lung allocation while maintaining proximity. In the previous two-tiered priority-based system, grafts not allocated through national ... ...

Abstract	A new lung allocation system was introduced in France in September 2020. It aimed to reduce geographic disparities in lung allocation while maintaining proximity. In the previous two-tiered priority-based system, grafts not allocated through national high-urgency status were offered to transplant centres according to geographic criteria. Between 2013 and 2018, significant geographic disparities in transplant allocation were observed across transplant centres with a mean number of grafts offered per candidate ranging from 1.4 to 5.2. The new system redistricted the local allocation units according to supply/demand ratio, removed regional sharing and increased national sharing. The supply/demand ratio was defined as the ratio of lungs recovered within the local allocation unit to transplants performed in the centre. A driving time between the procurement and transplant centres of less than 2 h was retained for proximity. Using a brute-force algorithm, we designed new local allocation units that gave a supply/demand ratio of 0.5 for all the transplant centres. Under the new system, standard-deviation of graft offers per candidate decreased from 0.9 to 0.5 (
MeSH term(s)	France ; Humans ; Lung Transplantation ; Tissue Donors ; Tissue and Organ Procurement ; Waiting Lists
Language	English
Publishing date	2022-05-24
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	639435-8
ISSN	1432-2277 ; 0934-0874
ISSN (online)	1432-2277
ISSN	0934-0874
DOI	10.3389/ti.2022.10049
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 2358: 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 ▾
- See ZB MED holdings
- Order with fees

Article: Osteoporosis and risk of fracture in heart transplant patients.

Forien, Marine / Coralli, Romain / Verdonk, Constance / Ottaviani, Sébastien / Ebstein, Esther / Demaria, Lucie / Palazzo, Elisabeth / Dorent, Richard / Dieudé, Philippe

Frontiers in endocrinology

2023 Volume 14, Page(s) 1252966

Abstract: Introduction: Significant bone loss occurs after heart transplantation, predominantly in the first year, with increased risk of incident fractures. The goal of this study was to evaluate the prevalence of fragility fractures in a population of heart ... ...

Abstract	Introduction: Significant bone loss occurs after heart transplantation, predominantly in the first year, with increased risk of incident fractures. The goal of this study was to evaluate the prevalence of fragility fractures in a population of heart transplantation patients and to identify the independent risk factors for fractures. Methods: This was a prospective monocentric study that included patients with heart transplantation occurring < 10 years who were undergoing heart transplantation monitoring. All patients underwent bone mineral density evaluation by dual-energy X-ray absorptiometry and radiographies to establish the presence of vertebral fractures. Results: We included 79 patients (61 men); the mean age was 56.8 ± 10.8 years. The mean time between transplantation and inclusion was 32.3 ± 35.0 months. Incident fractures were diagnosed in 21 (27%) patients after heart transplantation. Vertebral fractures were the most frequent (30 vertebral fractures for 15 patients). Osteoporosis was confirmed in 22 (28%) patients. Mean bone mineral density at the femoral neck and total hip was lower with than without fracture (femoral neck: 0.777 ± 0.125 vs 0.892 ± 0.174 g/cm Discussion: Our study confirmed a high vertebral fracture risk in heart transplant patients, especially during the first year after transplantation.
MeSH term(s)	Male ; Humans ; Middle Aged ; Aged ; Prospective Studies ; Osteoporosis/epidemiology ; Osteoporosis/etiology ; Fractures, Bone ; Bone Density ; Spinal Fractures/epidemiology ; Spinal Fractures/etiology ; Heart Transplantation/adverse effects
Language	English
Publishing date	2023-09-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2592084-4
ISSN	1664-2392
ISSN	1664-2392
DOI	10.3389/fendo.2023.1252966
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Learning Expected Appearances for Intraoperative Registration during Neurosurgery.

Haouchine, Nazim / Dorent, Reuben / Juvekar, Parikshit / Torio, Erickson / Wells, William M / Kapur, Tina / Golby, Alexandra J / Frisken, Sarah

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

2023 Volume 14228, Page(s) 227–237

Abstract: We present a novel method for intraoperative patient-to-image registration by learning Expected Appearances. Our method uses preoperative imaging to synthesize patient-specific expected views through a surgical microscope for a predicted range of ... ...

Abstract	We present a novel method for intraoperative patient-to-image registration by learning Expected Appearances. Our method uses preoperative imaging to synthesize patient-specific expected views through a surgical microscope for a predicted range of transformations. Our method estimates the camera pose by minimizing the dissimilarity between the intraoperative 2D view through the optical microscope and the synthesized expected texture. In contrast to conventional methods, our approach transfers the processing tasks to the preoperative stage, reducing thereby the impact of low-resolution, distorted, and noisy intraoperative images, that often degrade the registration accuracy. We applied our method in the context of neuronavigation during brain surgery. We evaluated our approach on synthetic data and on retrospective data from 6 clinical cases. Our method outperformed state-of-the-art methods and achieved accuracies that met current clinical standards.
Language	English
Publishing date	2023-10-01
Publishing country	Germany
Document type	Journal Article
DOI	10.1007/978-3-031-43996-4_22
Database	MEDical Literature Analysis and Retrieval System OnLINE

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Book ; Online: Driving Points Prediction For Abdominal Probabilistic Registration

Joutard, Samuel / Dorent, Reuben / Ourselin, Sebastien / Vercauteren, Tom / Modat, Marc

2022

Abstract: Inter-patient abdominal registration has various applications, from pharmakinematic studies to anatomy modeling. Yet, it remains a challenging application due to the morphological heterogeneity and variability of the human abdomen. Among the various ... ...

Abstract	Inter-patient abdominal registration has various applications, from pharmakinematic studies to anatomy modeling. Yet, it remains a challenging application due to the morphological heterogeneity and variability of the human abdomen. Among the various registration methods proposed for this task, probabilistic displacement registration models estimate displacement distribution for a subset of points by comparing feature vectors of points from the two images. These probabilistic models are informative and robust while allowing large displacements by design. As the displacement distributions are typically estimated on a subset of points (which we refer to as driving points), due to computational requirements, we propose in this work to learn a driving points predictor. Compared to previously proposed methods, the driving points predictor is optimized in an end-to-end fashion to infer driving points tailored for a specific registration pipeline. We evaluate the impact of our contribution on two different datasets corresponding to different modalities. Specifically, we compared the performances of 6 different probabilistic displacement registration models when using a driving points predictor or one of 2 other standard driving points selection methods. The proposed method improved performances in 11 out of 12 experiments.
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2022-08-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Development and Validation of a Risk Score Predicting Death Without Transplant in Adult Heart Transplant Candidates.

Zhang, Kevin C / Narang, Nikhil / Jasseron, Carine / Dorent, Richard / Lazenby, Kevin A / Belkin, Mark N / Grinstein, Jonathan / Mayampurath, Anoop / Churpek, Matthew M / Khush, Kiran K / Parker, William F

JAMA

2024 Volume 331, Issue 6, Page(s) 500–509

Abstract: Importance: The US heart allocation system prioritizes medically urgent candidates with a high risk of dying without transplant. The current therapy-based 6-status system is susceptible to manipulation and has limited rank ordering ability.: Objective! ...

Abstract	Importance: The US heart allocation system prioritizes medically urgent candidates with a high risk of dying without transplant. The current therapy-based 6-status system is susceptible to manipulation and has limited rank ordering ability. Objective: To develop and validate a candidate risk score that incorporates current clinical, laboratory, and hemodynamic data. Design, setting, and participants: A registry-based observational study of adult heart transplant candidates (aged ≥18 years) from the US heart allocation system listed between January 1, 2019, and December 31, 2022, split by center into training (70%) and test (30%) datasets. Adult candidates were listed between January 1, 2019, and December 31, 2022. Main outcomes and measures: A US candidate risk score (US-CRS) model was developed by adding a predefined set of predictors to the current French Candidate Risk Score (French-CRS) model. Sensitivity analyses were performed, which included intra-aortic balloon pumps (IABP) and percutaneous ventricular assist devices (VAD) in the definition of short-term mechanical circulatory support (MCS) for the US-CRS. Performance of the US-CRS model, French-CRS model, and 6-status model in the test dataset was evaluated by time-dependent area under the receiver operating characteristic curve (AUC) for death without transplant within 6 weeks and overall survival concordance (c-index) with integrated AUC. Results: A total of 16 905 adult heart transplant candidates were listed (mean [SD] age, 53 [13] years; 73% male; 58% White); 796 patients (4.7%) died without a transplant. The final US-CRS contained time-varying short-term MCS (ventricular assist-extracorporeal membrane oxygenation or temporary surgical VAD), the log of bilirubin, estimated glomerular filtration rate, the log of B-type natriuretic peptide, albumin, sodium, and durable left ventricular assist device. In the test dataset, the AUC for death within 6 weeks of listing for the US-CRS model was 0.79 (95% CI, 0.75-0.83), for the French-CRS model was 0.72 (95% CI, 0.67-0.76), and 6-status model was 0.68 (95% CI, 0.62-0.73). Overall c-index for the US-CRS model was 0.76 (95% CI, 0.73-0.80), for the French-CRS model was 0.69 (95% CI, 0.65-0.73), and 6-status model was 0.67 (95% CI, 0.63-0.71). Classifying IABP and percutaneous VAD as short-term MCS reduced the effect size by 54%. Conclusions and relevance: In this registry-based study of US heart transplant candidates, a continuous multivariable allocation score outperformed the 6-status system in rank ordering heart transplant candidates by medical urgency and may be useful for the medical urgency component of heart allocation.
MeSH term(s)	Adult ; Female ; Humans ; Male ; Middle Aged ; Bilirubin ; Clinical Laboratory Services ; Heart ; Heart Transplantation ; Risk Factors ; Risk Assessment ; Heart Failure/mortality ; Heart Failure/surgery ; United States ; Health Care Rationing/methods ; Predictive Value of Tests ; Tissue and Organ Procurement/methods ; Tissue and Organ Procurement/organization & administration
Chemical Substances	Bilirubin (RFM9X3LJ49)
Language	English
Publishing date	2024-02-13
Publishing country	United States
Document type	Journal Article ; Observational Study ; Validation Study ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
ZDB-ID	2958-0
ISSN	1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
ISSN (online)	1538-3598
ISSN	0254-9077 ; 0002-9955 ; 0098-7484
DOI	10.1001/jama.2023.27029
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Ua VI Zs.88: Show issues

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

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article: Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations.

Dorent, Reuben / Haouchine, Nazim / Kogl, Fryderyk / Joutard, Samuel / Juvekar, Parikshit / Torio, Erickson / Golby, Alexandra / Ourselin, Sebastien / Frisken, Sarah / Vercauteren, Tom / Kapur, Tina / Wells, William M

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

2024 Volume 2023, Page(s) 448–458

Abstract: We introduce MHVAE, a deep hierarchical variational autoencoder (VAE) that synthesizes missing images from various modalities. Extending multi-modal VAEs with a hierarchical latent structure, we introduce a probabilistic formulation for fusing multi- ... ...

Abstract	We introduce MHVAE, a deep hierarchical variational autoencoder (VAE) that synthesizes missing images from various modalities. Extending multi-modal VAEs with a hierarchical latent structure, we introduce a probabilistic formulation for fusing multi-modal images in a common latent representation while having the flexibility to handle incomplete image sets as input. Moreover, adversarial learning is employed to generate sharper images. Extensive experiments are performed on the challenging problem of joint intra-operative ultrasound (iUS) and Magnetic Resonance (MR) synthesis. Our model outperformed multi-modal VAEs, conditional GANs, and the current state-of-the-art unified method (ResViT) for synthesizing missing images, demonstrating the advantage of using a hierarchical latent representation and a principled probabilistic fusion operation. Our code is publicly available.
Language	English
Publishing date	2024-04-24
Publishing country	Germany
Document type	Journal Article
DOI	10.1007/978-3-031-43999-5_43
Database	MEDical Literature Analysis and Retrieval System OnLINE

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Book ; Online: Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma

Wijethilake, Navodini / Kujawa, Aaron / Dorent, Reuben / Asad, Muhammad / Oviedova, Anna / Vercauteren, Tom / Shapey, Jonathan

2022

Abstract: Vestibular Schwannoma (VS) typically grows from the inner ear to the brain. It can be separated into two regions, intrameatal and extrameatal respectively corresponding to being inside or outside the inner ear canal. The growth of the extrameatal regions ...

Abstract	Vestibular Schwannoma (VS) typically grows from the inner ear to the brain. It can be separated into two regions, intrameatal and extrameatal respectively corresponding to being inside or outside the inner ear canal. The growth of the extrameatal regions is a key factor that determines the disease management followed by the clinicians. In this work, a VS segmentation approach with subdivision into intra-/extra-meatal parts is presented. We annotated a dataset consisting of 227 T2 MRI instances, acquired longitudinally on 137 patients, excluding post-operative instances. We propose a staged approach, with the first stage performing the whole tumour segmentation and the second stage performing the intra-/extra-meatal segmentation using the T2 MRI along with the mask obtained from the first stage. To improve on the accuracy of the predicted meatal boundary, we introduce a task-specific loss which we call Boundary Distance Loss. The performance is evaluated in contrast to the direct intrameatal extrameatal segmentation task performance, i.e. the Baseline. Our proposed method, with the two-stage approach and the Boundary Distance Loss, achieved a Dice score of 0.8279+-0.2050 and 0.7744+-0.1352 for extrameatal and intrameatal regions respectively, significantly improving over the Baseline, which gave Dice score of 0.7939+-0.2325 and 0.7475+-0.1346 for the extrameatal and intrameatal regions respectively. Comment: Accepted for the MICCAI MLCN workshop 2022
Keywords	Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
Subject code	004
Publishing date	2022-08-09
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED