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Whole body image analysis for diagnosing patients with monoclonal plasma cell disorders

Whole body image analysis for diagnosing patients with monoclonal plasma cell disorders

Georg Langs (ORCID: 0000-0002-5536-6873)
  • Grant DOI 10.55776/I2714
  • Funding program Principal Investigator Projects International
  • Status ended
  • Start March 1, 2016
  • End February 29, 2020
  • Funding amount € 218,956
  • Project website

DACH: Österreich - Deutschland - Schweiz

Disciplines

Computer Sciences (70%); Clinical Medicine (30%)

Keywords

    Medical Image Analysis, Oncological Imaging, Image Processing, Radiology, Computer Aided Diagnosis

Abstract Final report

Whole-body imaging with computed tomography (CT), magnetic resonance imaging (MRI) or positron emission tomography (PET) are increasingly used in staging of monoclonal plasma cell disorders and for evaluating treatment response. These imaging modalities provide localized information about the state of the disease and are a critical addition to blood samples. The enormous amount of data, and the necessity of tracking local disease progress create a substantial challenge for clinical radiologists. This project will develop computer based method that allow for an accurate determination of the disease progression of multiple myeloma patients. The algorithms will detect lesions and will make the entire disease pattern comparable across time and across individuals. On one hand this supports individual diagnosis, on the other it enables the study of links between imaging information and clinical-, molecular-, and genetic parameters.

The DACH project Whole body image analysis for plasma cell disorders, co-funded by FWF (Austria), and DFG (Germany) involved Medical University of Vienna, Technical University of Munich, University of Heidelberg, and University of Rostock. The aim of the project was to develop novel methodology for the assessment, and treatment support of monoclonal plasma cell disorders, with a particular focus on image analysis of multiple myeloma patients. At the Medical University of Vienna, the primary lines of research resulted in novel methods and algorithms for the automatic segmentation of relevant anatomical structures in whole body magnetic resonance imaging (MRI) data, techniques for the mapping of multiple computed tomography and magnetic resonance imaging examinations from multiple time points and multiple patients to a single reference space, and models for the detection and prediction of multiple myeloma lesions from imaging data. The project results contribute to our capability to assess, treat, and investigate monoclonal plasma cell disorders associated with lesions that are visible in MRI.

Research institution(s)
  • Medizinische Universität Wien - 100%
International project participants
  • Marc-André Weber, Universitätsklinikum Heidelberg - Germany
  • Bjoern H. Menze, University of Zurich - Switzerland

Research Output

  • 5979 Citations
  • 52 Publications
  • 2 Policies
  • 2 Artistic Creations
  • 3 Methods & Materials
  • 1 Datasets & models
  • 2 Disseminations
  • 4 Scientific Awards
Publications
  • 2021
    Title Analyzing Longitudinal wb-MRI Data and Clinical Course in a Cohort of Former Smoldering Multiple Myeloma Patients: Connections between MRI Findings and Clinical Progression Patterns
    DOI 10.5167/uzh-214511
    Type Other
    Author Hielscher
    Link Publication
  • 2021
    Title Spatio-temporal alterations in retinal and choroidal layers in the progression of age-related macular degeneration (AMD) in optical coherence tomography
    DOI 10.1038/s41598-021-85110-y
    Type Journal Article
    Author Vogl W
    Journal Scientific Reports
    Pages 5743
    Link Publication
  • 2020
    Title Joint embedding: A scalable alignment to compare individuals in a connectivity space
    DOI 10.1016/j.neuroimage.2020.117232
    Type Journal Article
    Author Nenning K
    Journal NeuroImage
    Pages 117232
    Link Publication
  • 2020
    Title AI-based prediction of lesion occurrence in high-risk women based on anomalies detected in follow-up examinations
    DOI 10.1117/12.2564313
    Type Conference Proceeding Abstract
    Author Burger B
  • 2020
    Title Cross-species functional alignment reveals evolutionary hierarchy within the connectome
    DOI 10.1016/j.neuroimage.2020.117346
    Type Journal Article
    Author Xu T
    Journal NeuroImage
    Pages 117346
    Link Publication
  • 2020
    Title Spatial Distribution of Focal Lesions in Whole-Body MRI and Influence of MRI Protocol on Staging in Patients with Smoldering Multiple Myeloma According to the New SLiM-CRAB-Criteria
    DOI 10.3390/cancers12092537
    Type Journal Article
    Author Wennmann M
    Journal Cancers
    Pages 2537
    Link Publication
  • 2020
    Title Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
    DOI 10.1186/s41747-020-00173-2
    Type Journal Article
    Author Hofmanninger J
    Journal European Radiology Experimental
    Pages 50
    Link Publication
  • 2021
    Title Analyzing Longitudinal wb-MRI Data and Clinical Course in a Cohort of Former Smoldering Multiple Myeloma Patients: Connections between MRI Findings and Clinical Progression Patterns
    DOI 10.3390/cancers13050961
    Type Journal Article
    Author Wennmann M
    Journal Cancers
    Pages 961
    Link Publication
  • 2019
    Title Causability and explainability of artificial intelligence in medicine
    DOI 10.1002/widm.1312
    Type Journal Article
    Author Holzinger A
    Journal Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
    Link Publication
  • 2019
    Title f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
    DOI 10.1016/j.media.2019.01.010
    Type Journal Article
    Author Schlegl T
    Journal Medical Image Analysis
    Pages 30-44
  • 2019
    Title Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
    DOI 10.48550/arxiv.1905.12806
    Type Preprint
    Author Seeböck P
  • 2019
    Title Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
    DOI 10.48550/arxiv.1901.08379
    Type Preprint
    Author Seeböck P
  • 2019
    Title Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma
    DOI 10.48550/arxiv.1907.13539
    Type Preprint
    Author Licandro R
  • 2019
    Title Additional file 1: of Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features
    DOI 10.6084/m9.figshare.8051168
    Type Other
    Author Pinker K
    Link Publication
  • 2019
    Title Additional file 1: of Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features
    DOI 10.6084/m9.figshare.8051168.v1
    Type Other
    Author Pinker K
    Link Publication
  • 2019
    Title Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
    DOI 10.1109/tmi.2019.2919951
    Type Journal Article
    Author Seeböck P
    Journal IEEE Transactions on Medical Imaging
    Pages 87-98
    Link Publication
  • 2019
    Title Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features
    DOI 10.1186/s41747-019-0096-3
    Type Journal Article
    Author Vogl W
    Journal European Radiology Experimental
    Pages 18
    Link Publication
  • 2019
    Title Towards Quantitative Imaging Biomarkers of Tumor Dissemination: a Multi-scale Parametric Modeling of Multiple Myeloma
    DOI 10.1101/613869
    Type Preprint
    Author Piraud M
    Pages 613869
    Link Publication
  • 2019
    Title Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation
    DOI 10.1109/isbi.2019.8759158
    Type Conference Proceeding Abstract
    Author Seeböck P
    Pages 605-609
    Link Publication
  • 2019
    Title Cross-species Functional Alignment Reveals Evolutionary Hierarchy Within the Connectome
    DOI 10.1101/692616
    Type Preprint
    Author Xu T
    Pages 692616
    Link Publication
  • 2019
    Title Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma
    DOI 10.1016/j.media.2019.07.001
    Type Journal Article
    Author Piraud M
    Journal Medical Image Analysis
    Pages 214-225
    Link Publication
  • 2016
    Title Identifying and Categorizing Anomalies in Retinal Imaging Data
    DOI 10.48550/arxiv.1612.00686
    Type Preprint
    Author Seeböck P
  • 2017
    Title Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
    DOI 10.48550/arxiv.1703.05921
    Type Preprint
    Author Schlegl T
  • 2017
    Title Additional file 6: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d6
    Type Other
    Author Baumbach S
    Link Publication
  • 2017
    Title Additional file 6: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d6.v1
    Type Other
    Author Baumbach S
    Link Publication
  • 2017
    Title Additional file 1: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d1
    Type Other
    Author Baumbach S
    Link Publication
  • 2017
    Title Additional file 1: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d1.v1
    Type Other
    Author Baumbach S
    Link Publication
  • 2017
    Title Additional file 2: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d2
    Type Other
    Author Baumbach S
    Link Publication
  • 2017
    Title Additional file 2: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d2.v1
    Type Other
    Author Baumbach S
    Link Publication
  • 2018
    Title The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space
    DOI 10.1038/s41591-018-0156-x
    Type Journal Article
    Author Klughammer J
    Journal Nature Medicine
    Pages 1611-1624
    Link Publication
  • 2018
    Title Predicting Future Bone Infiltration Patterns in Multiple Myeloma
    DOI 10.1007/978-3-030-00500-9_9
    Type Book Chapter
    Author Licandro R
    Publisher Springer Nature
    Pages 76-84
  • 2018
    Title Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning
    DOI 10.1007/978-3-030-00807-9_3
    Type Book Chapter
    Author Perkonigg M
    Publisher Springer Nature
    Pages 22-30
  • 2018
    Title Keypoint Transfer for Fast Whole-Body Segmentation
    DOI 10.1109/tmi.2018.2851194
    Type Journal Article
    Author Wachinger C
    Journal IEEE Transactions on Medical Imaging
    Pages 273-282
    Link Publication
  • 2018
    Title Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
    DOI 10.1109/tmi.2018.2877080
    Type Journal Article
    Author Seeböck P
    Journal IEEE Transactions on Medical Imaging
    Pages 1037-1047
    Link Publication
  • 2018
    Title Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis, First International Workshop, DATRA 2018 and Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16
    DOI 10.1007/978-3-030-00807-9
    Type Book
    editors Melbourne A, Licandro R, DiFranco M, Rota P, Gau M, Kampel M, Aughwane R, Moeskops P, Schwartz E, Robinson E, Makropoulos A
    Publisher Springer Nature
  • 2018
    Title Machine learning: from radiomics to discovery and routine
    DOI 10.1007/s00117-018-0407-3
    Type Journal Article
    Author Langs G
    Journal Der Radiologe
    Pages 1-6
    Link Publication
  • 2018
    Title Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of smoldering multiple myeloma patients
    DOI 10.18632/oncotarget.25402
    Type Journal Article
    Author Wennmann M
    Journal Oncotarget
    Pages 25254-25264
    Link Publication
  • 2020
    Title Maschinelles Lernen in der Radiologie
    DOI 10.1007/s00117-019-00624-x
    Type Journal Article
    Author Langs G
    Journal Der Radiologe
    Pages 6-14
    Link Publication
  • 2020
    Title Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings
    DOI 10.1007/978-3-030-59713-9_35
    Type Book Chapter
    Author Hofmanninger J
    Publisher Springer Nature
    Pages 359-368
  • 2020
    Title Distributed changes of the functional connectome in patients with glioblastoma
    DOI 10.1038/s41598-020-74726-1
    Type Journal Article
    Author Nenning K
    Journal Scientific Reports
    Pages 18312
    Link Publication
  • 2020
    Title Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
    DOI 10.48550/arxiv.2001.11767
    Type Preprint
    Author Hofmanninger J
  • 2020
    Title Separation of target anatomical structure and occlusions in chest radiographs
    DOI 10.48550/arxiv.2002.00751
    Type Preprint
    Author Hofmanninger J
  • 2020
    Title Unsupervised deep clustering for predictive texture pattern discovery in medical images
    DOI 10.48550/arxiv.2002.03721
    Type Preprint
    Author Perkonigg M
  • 2020
    Title Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography
    DOI 10.1186/s41747-020-00152-7
    Type Journal Article
    Author Röhrich S
    Journal European Radiology Experimental
    Pages 26
    Link Publication
  • 2020
    Title Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
    DOI 10.48550/arxiv.2007.02639
    Type Preprint
    Author Hofmanninger J
  • 2018
    Title Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images
    DOI 10.48550/arxiv.1805.03278
    Type Preprint
    Author Schlegl T
  • 2018
    Title Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
    DOI 10.48550/arxiv.1810.13404
    Type Preprint
    Author Seeböck P
  • 2017
    Title Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
    DOI 10.1007/978-3-319-59050-9_12
    Type Book Chapter
    Author Schlegl T
    Publisher Springer Nature
    Pages 146-157
  • 2017
    Title Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.1186/s12880-017-0193-9
    Type Journal Article
    Author Baumbach S
    Journal BMC Medical Imaging
    Pages 23
    Link Publication
  • 2017
    Title Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration
    DOI 10.1109/tmi.2017.2720261
    Type Journal Article
    Author Bieth M
    Journal IEEE Transactions on Medical Imaging
    Pages 2276-2286
  • 2017
    Title Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images
    DOI 10.1109/tmi.2017.2700213
    Type Journal Article
    Author Vogl W
    Journal IEEE Transactions on Medical Imaging
    Pages 1773-1783
  • 2017
    Title Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates
    DOI 10.1007/978-3-319-67558-9_39
    Type Book Chapter
    Author Hofmanninger J
    Publisher Springer Nature
    Pages 341-348
Policies
  • 2020
    Title Impact on medical research
    DOI 10.1016/j.media.2019.07.001
    Type Citation in clinical reviews
  • 2018 Link
    Title Scientific Advisory Board: European Institute of Biomedical Imaging Research (EIBIR) - GL
    DOI 10.1186/s13244-019-0684-z
    Type Participation in a guidance/advisory committee
    Link Link
Artistic Creations
  • 2017 Link
    Title Additional file 5: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d5
    Type Image
    Link Link
  • 2017 Link
    Title Additional file 4: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d4
    Type Image
    Link Link
Methods & Materials
  • 0
    Title Algorithm for lesion detection
    Type Technology assay or reagent
  • 0
    Title Algorithm for predicting emerging and growing lesions in multiple myeloma
    Type Technology assay or reagent
  • 2020
    Title Algorithm for bone segmentation in magnetic resonance imaging data
    Type Technology assay or reagent
    Public Access
Datasets & models
  • 2017 Link
    Title Additional file 3: of Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models
    DOI 10.6084/m9.figshare.c.3712687_d3
    Type Database/Collection of data
    Public Access
    Link Link
Disseminations
  • 2020 Link
    Title National TV interview ORF 1 Magazin Newton
    Type A broadcast e.g. TV/radio/film/podcast (other than news/press)
    Link Link
  • 2018 Link
    Title Data-Driven Treatment Response Assessment Workshop (DATRA 2018) - a MICCAI 2018 satellite event
    DOI 10.1007/978-3-030-00807-9
    Type Participation in an activity, workshop or similar
    Link Link
Scientific Awards
  • 2019
    Title 23 invited talks presenting project results in 2019
    Type Personally asked as a key note speaker to a conference
    Level of Recognition Continental/International
  • 2018
    Title MICCAI DATRA 2018 Keynote Speaker
    Type Personally asked as a key note speaker to a conference
    Level of Recognition Continental/International
  • 2018
    Title 14 invited talks presening project results in 2018
    Type Personally asked as a key note speaker to a conference
    Level of Recognition Continental/International
  • 2018
    Title President of the MICCAI Student Society
    Type Prestigious/honorary/advisory position to an external body
    Level of Recognition Continental/International

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