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Doll S, Schweizer L, Bollwein C, Steiger K, Pfarr N, Walker M, Wörtler K, Knebel C, von Eisenhart-Rothe R, Hartmann W, Weichert W, Mann M, Kuhn PH, Specht K. Proteomic Characterization of Undifferentiated Small Round Cell Sarcomas with EWSR1- and CIC::DUX4-Translocations Reveals Diverging Tumor Biology and Distinct Diagnostic Markers. Mod Pathol 2024:100511. [PMID: 38705279 DOI: 10.1016/j.modpat.2024.100511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 04/11/2024] [Accepted: 04/26/2024] [Indexed: 05/07/2024]
Abstract
Undifferentiated small round cell sarcomas of bone and soft tissue (USRS) are a group of tumors with heterogenic genomic alterations sharing similar morphology. In the present study, we performed a comparative large-scale proteomic analysis of USRS (n=42) with diverse genomic translocations including classic Ewing sarcomas with EWSR1::FLI1 fusions (n=24) or EWSR1::ERG - fusions (n=4), sarcomas with an EWSR1 - rearrangement (n=2), CIC::DUX4 fusion (n=8), as well as tumors classified as USRS with no genetic data available (n=4). Proteins extracted from formalin-fixed, paraffin-embedded (FFPE) pretherapeutic biopsies were analyzed qualitatively and quantitatively using shot gun mass spectrometry (MS). More than 8000 protein groups could be quantified using data-independent acquisition. Unsupervised hierarchical cluster analysis based on proteomic data allowed stratification of the 42 cases into distinct groups reflecting the different molecular genotypes. Protein signatures that significantly correlated with the respective genomic translocations were identified and used to generate a heatmap of all 42 sarcomas with assignment of cases with unknown molecular genetic data to either the EWSR1- or CIC-rearranged groups. MS-based prediction of sarcoma subtypes was molecularly confirmed in two cases where next-generation sequencing was technically feasible. MS also detected proteins routinely used in the immunohistochemical approach for the differential diagnosis of USRS. BCL11B highly expressed in Ewing sarcomas and Bach2 as well as ETS-1 highly expressed in CIC::DUX4-associated sarcomas, were among proteins identified by the present proteomic study and were chosen for immunohistochemical confirmation of MS data in our study cohort. Differential expression of these 3 markers in the two genetic groups were further validated in an independent cohort of n= 34 USRS. Finally, our proteomic results point towards diverging signaling pathways in the different USRS subgroups.
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Affiliation(s)
- Sophia Doll
- Max-Planck-Institute for Biochemistry, Am Klopferspitz 18A, Martinsried, Germany
| | - Lisa Schweizer
- Max-Planck-Institute for Biochemistry, Am Klopferspitz 18A, Martinsried, Germany
| | - Christine Bollwein
- Institute of Pathology, Technical University of Munich, 81675 Munich, Germany
| | - Katja Steiger
- Institute of Pathology, Technical University of Munich, 81675 Munich, Germany
| | - Nicole Pfarr
- Institute of Pathology, Technical University of Munich, 81675 Munich, Germany
| | - Maria Walker
- Institute of Pathology, Technical University of Munich, 81675 Munich, Germany
| | - Klaus Wörtler
- Musculoskeletal Radiology Section, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Carolin Knebel
- Department of Orthopaedic Surgery, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Ruediger von Eisenhart-Rothe
- Department of Orthopaedic Surgery, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | | | - Wilko Weichert
- Institute of Pathology, Technical University of Munich, 81675 Munich, Germany; German Cancer Consortium (DKTK), Partner-site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias Mann
- Max-Planck-Institute for Biochemistry, Am Klopferspitz 18A, Martinsried, Germany
| | - Peer-Hendrik Kuhn
- Institute of Pathology, Technical University of Munich, 81675 Munich, Germany
| | - Katja Specht
- Institute of Pathology, Technical University of Munich, 81675 Munich, Germany.
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2
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Gassert FT, Kufner A, Renz M, Gassert FG, Bollwein C, Kronthaler S, Feuerriegel GC, Kirschke JS, Ganter C, Makowski MR, Braun C, Schwaiger BJ, Woertler K, Karampinos DC, Gersing AS. Comparing CT-Like Images Based on Ultra-Short Echo Time and Gradient Echo T1-Weighted MRI Sequences for the Assessment of Vertebral Disorders Using Histology and True CT as the Reference Standard. J Magn Reson Imaging 2024; 59:1542-1552. [PMID: 37501387 DOI: 10.1002/jmri.28927] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/14/2023] [Accepted: 07/14/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Several magnetic resonance (MR) techniques have been suggested for radiation-free imaging of osseous structures. PURPOSE To compare the diagnostic value of ultra-short echo time and gradient echo T1-weighted MRI for the assessment of vertebral pathologies using histology and computed tomography (CT) as the reference standard. STUDY TYPE Prospective. SUBJECTS Fifty-nine lumbar vertebral bodies harvested from 20 human cadavers (donor age 73 ± 13 years; 9 male). FIELD STRENGTH/SEQUENCE Ultra-short echo time sequence optimized for both bone (UTEb) and cartilage (UTEc) imaging and 3D T1-weighted gradient-echo sequence (T1GRE) at 3 T; susceptibility-weighted imaging (SWI) gradient echo sequence at 1.5 T. CT was performed on a dual-layer dual-energy CT scanner using a routine clinical protocol. ASSESSMENT Histopathology and conventional CT were acquired as standard of reference. Semi-quantitative and quantitative morphological features of degenerative changes of the spines were evaluated by four radiologists independently on CT and MR images independently and blinded to all other information. Features assessed were osteophytes, endplate sclerosis, visualization of cartilaginous endplate, facet joint degeneration, presence of Schmorl's nodes, and vertebral dimensions. Vertebral disorders were assessed by a pathologist on histology. STATISTICAL TESTS Agreement between T1GRE, SWI, UTEc, and UTEb sequences and CT imaging and histology as standard of reference were assessed using Fleiss' κ and intra-class correlation coefficients, respectively. RESULTS For the morphological assessment of osteophytes and endplate sclerosis, the overall agreement between SWI, T1GRE, UTEb, and UTEc with the reference standard (histology combined with CT) was moderate to almost perfect for all readers (osteophytes: SWI, κ range: 0.68-0.76; T1GRE: 0.92-1.00; UTEb: 0.92-1.00; UTEc: 0.77-0.85; sclerosis: SWI, κ range: 0.60-0.70; T1GRE: 0.77-0.82; UTEb: 0.81-0.92; UTEc: 0.61-0.71). For the visualization of the cartilaginous endplate, UTEc showed the overall best agreement with the reference standard (histology) for all readers (κ range: 0.85-0.93). DATA CONCLUSIONS Morphological assessment of vertebral pathologies was feasible and accurate using the MR-based bone imaging sequences compared to CT and histopathology. T1GRE showed the overall best performance for osseous changes and UTEc for the visualization of the cartilaginous endplate. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Florian T Gassert
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Alexander Kufner
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Martin Renz
- Department of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Felix G Gassert
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christine Bollwein
- Department of Pathology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Sophia Kronthaler
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Georg C Feuerriegel
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Carl Ganter
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Marcus R Makowski
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Braun
- Institute of Forensic Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Benedikt J Schwaiger
- Department of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Klaus Woertler
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Musculoskeletal Radiology Section, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Alexandra S Gersing
- Department of Neuroradiology, University Hospital of Munich, LMU Munich, Munich, Germany
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Gonçalves JPL, Bollwein C, Noske A, Jacob A, Jank P, Loibl S, Nekljudova V, Fasching PA, Karn T, Marmé F, Müller V, Schem C, Sinn BV, Stickeler E, van Mackelenbergh M, Schmitt WD, Denkert C, Weichert W, Schwamborn K. Characterization of Hormone Receptor and HER2 Status in Breast Cancer Using Mass Spectrometry Imaging. Int J Mol Sci 2023; 24:ijms24032860. [PMID: 36769215 PMCID: PMC9918176 DOI: 10.3390/ijms24032860] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Immunohistochemical evaluation of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2 status stratify the different subtypes of breast cancer and define the treatment course. Triple-negative breast cancer (TNBC), which does not register receptor overexpression, is often associated with worse patient prognosis. Mass spectrometry imaging transcribes the molecular content of tissue specimens without requiring additional tags or preliminary analysis of the samples, being therefore an excellent methodology for an unbiased determination of tissue constituents, in particular tumor markers. In this study, the proteomic content of 1191 human breast cancer samples was characterized by mass spectrometry imaging and the epithelial regions were employed to train and test machine-learning models to characterize the individual receptor status and to classify TNBC. The classification models presented yielded high accuracies for estrogen and progesterone receptors and over 95% accuracy for classification of TNBC. Analysis of the molecular features revealed that vimentin overexpression is associated with TNBC, supported by immunohistochemistry validation, revealing a new potential target for diagnosis and treatment.
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Affiliation(s)
- Juliana Pereira Lopes Gonçalves
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Christine Bollwein
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany
| | - Aurelia Noske
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany
| | - Anne Jacob
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany
| | - Paul Jank
- Institute of Pathology, Philipps-University Marburg and University Hospital Marburg (UKGM), 35043 Marburg, Germany
| | - Sibylle Loibl
- German Breast Group (GBG), 63263 Neu-Isenburg, Germany
| | | | - Peter A. Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), 91054 Erlangen, Germany
| | - Thomas Karn
- Department of Gynecology and Obstetrics, Goethe-University Frankfurt, 60590 Frankfurt, Germany
| | - Frederik Marmé
- Department of Obstetrics and Gynecology, University Hospital Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Volkmar Müller
- Department of Gynecology, Universitätsklinikum Hamburg-Eppendorf, 20251 Hamburg, Germany
| | | | | | - Elmar Stickeler
- Department of Obstetrics and Gynecology, University Hospital Aachen, 52074 Aachen, Germany
| | - Marion van Mackelenbergh
- Klinik für Gynäkologie und Geburtshilfe, Universitätsklinikum Schleswig-Holstein, 24105 Kiel, Germany
| | | | - Carsten Denkert
- Institute of Pathology, Philipps-University Marburg and University Hospital Marburg (UKGM), 35043 Marburg, Germany
| | - Wilko Weichert
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Kristina Schwamborn
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany
- Correspondence:
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4
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Gassert FG, Breden S, Neumann J, Gassert FT, Bollwein C, Knebel C, Lenze U, von Eisenhart-Rothe R, Mogler C, Makowski MR, Peeken JC, Wörtler K, Gersing AS. Differentiating Enchondromas and Atypical Cartilaginous Tumors in Long Bones with Computed Tomography and Magnetic Resonance Imaging. Diagnostics (Basel) 2022; 12:diagnostics12092186. [PMID: 36140587 PMCID: PMC9497620 DOI: 10.3390/diagnostics12092186] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/27/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022] Open
Abstract
The differentiation between the atypical cartilaginous tumor (ACT) and the enchondromas is crucial as ACTs require a curettage and clinical as well as imaging follow-ups, whereas in the majority of cases enchondromas require neither a treatment nor follow-ups. Differentiating enchondromas from ACTs radiologically remains challenging. Therefore, this study evaluated imaging criteria in a combination of computed tomography (CT) and magnetic resonance (MR) imaging for the differentiation between enchondromas and ACTs in long bones. A total of 82 patients who presented consecutively at our institution with either an ACT (23, age 52.7 ±18.8 years; 14 women) or an enchondroma (59, age 46.0 ± 11.1 years; 37 women) over a period of 10 years, who had undergone preoperative MR and CT imaging and subsequent biopsy or/and surgical removal, were included in this study. A histopathological diagnosis was available in all cases. Two experienced radiologists evaluated several imaging criteria on CT and MR images. Likelihood of an ACT was significantly increased if either edema within the bone (p = 0.049), within the adjacent soft tissue (p = 0.006) or continuous growth pattern (p = 0.077) were present or if the fat entrapment (p = 0.027) was absent on MR images. Analyzing imaging features on CT, the likelihood of the diagnosis of an ACT was significantly increased if endosteal scalloping >2/3 (p < 0.001), cortical penetration (p < 0.001) and expansion of bone (p = 0.002) were present and if matrix calcifications were observed in less than 1/3 of the tumor (p = 0.013). All other imaging criteria evaluated showed no significant influence on likelihood of ACT or enchondroma (p > 0.05). In conclusion, both CT and MR imaging show suggestive signs which can help to adequately differentiate enchondromas from ACTs in long bones and therefore can improve diagnostics and consequently patient management. Nevertheless, these features are rare and a combination of CT and MR imaging features did not improve the diagnostic performance substantially.
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Affiliation(s)
- Felix G. Gassert
- Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
- Musculoskeletal Quantitative Imaging Research Group, Department of Radiology & Biomedical Imaging, University of California San Francisco, 185 Berry St., Suite 350, San Francisco, CA 94107, USA
- Correspondence: ; Tel.: +49-89-4140-8797
| | - Sebastian Breden
- Department of Orthopaedic Surgery, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Jan Neumann
- Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Florian T. Gassert
- Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Christine Bollwein
- Department of Pathology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Carolin Knebel
- Department of Orthopaedic Surgery, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Ulrich Lenze
- Department of Orthopaedic Surgery, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Rüdiger von Eisenhart-Rothe
- Department of Orthopaedic Surgery, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Carolin Mogler
- Department of Pathology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Marcus R. Makowski
- Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Jan C. Peeken
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
- Institute of Radiation Medicine (IRM), Department of Radiation Sciences (DRS), Helmholtz Zentrum München, 85764 Munich, Germany
| | - Klaus Wörtler
- Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
| | - Alexandra S. Gersing
- Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
- Department of Neuroradiology, University Hospital of Munich (LMU), Marchioninistrasse 15, 81377 Munich, Germany
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5
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Deininger SO, Bollwein C, Casadonte R, Wandernoth P, Gonçalves JPL, Kriegsmann K, Kriegsmann M, Boskamp T, Kriegsmann J, Weichert W, Schirmacher P, Ly A, Schwamborn K. Multicenter Evaluation of Tissue Classification by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. Anal Chem 2022; 94:8194-8201. [PMID: 35658398 DOI: 10.1021/acs.analchem.2c00097] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Many studies have demonstrated that tissue phenotyping (tissue typing) based on mass spectrometric imaging data is possible; however, comprehensive studies assessing variation and classifier transferability are largely lacking. This study evaluated the generalization of tissue classification based on Matrix Assisted Laser Desorption/Ionization (MALDI) mass spectrometric imaging (MSI) across measurements performed at different sites. Sections of a tissue microarray (TMA) consisting of different formalin-fixed and paraffin-embedded (FFPE) human tissue samples from different tumor entities (leiomyoma, seminoma, mantle cell lymphoma, melanoma, breast cancer, and squamous cell carcinoma of the lung) were prepared and measured by MALDI-MSI at different sites using a standard protocol (SOP). Technical variation was deliberately introduced on two separate measurements via a different sample preparation protocol and a MALDI Time of Flight mass spectrometer that was not tuned to optimal performance. Using standard data preprocessing, a classification accuracy of 91.4% per pixel was achieved for intrasite classifications. When applying a leave-one-site-out cross-validation strategy, accuracy per pixel over sites was 78.6% for the SOP-compliant data sets and as low as 36.1% for the mistuned instrument data set. Data preprocessing designed to remove technical variation while retaining biological information substantially increased classification accuracy for all data sets with SOP-compliant data sets improved to 94.3%. In particular, classification accuracy of the mistuned instrument data set improved to 81.3% and from 67.0% to 87.8% per pixel for the non-SOP-compliant data set. We demonstrate that MALDI-MSI-based tissue classification is possible across sites when applying histological annotation and an optimized data preprocessing pipeline to improve generalization of classifications over technical variation and increasing overall robustness.
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Affiliation(s)
| | - Christine Bollwein
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstrasse 18, 81675 München, Germany
| | - Rita Casadonte
- Proteopath GmbH, Max-Planck-Strasse 17, 54296 Trier, Germany
| | - Petra Wandernoth
- MVZ für Histologie, Zytologie und molekulare Diagnostik Trier GmbH, Max-Planck-Strasse 5, 54296 Trier, Germany
| | | | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
| | - Tobias Boskamp
- Bruker Daltonics GmbH & Co KG, Fahrenheitstrasse 4, 28359 Bremen, Germany.,Center for Industrial Mathematics, University of Bremen, 28359 Bremen, Germany
| | - Jörg Kriegsmann
- MVZ für Histologie, Zytologie und molekulare Diagnostik Trier GmbH, Max-Planck-Strasse 5, 54296 Trier, Germany.,Danube Private University (DPU) Faculty of Medicine/Dentistry, Steiner Landstrasse 124, 3500 Krems-Stein, Austria
| | - Wilko Weichert
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstrasse 18, 81675 München, Germany
| | - Peter Schirmacher
- Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany
| | - Alice Ly
- Bruker Daltonics GmbH & Co KG, Fahrenheitstrasse 4, 28359 Bremen, Germany
| | - Kristina Schwamborn
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstrasse 18, 81675 München, Germany
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6
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Saghafi S, Becker K, Gori F, Foroughipour M, Bollwein C, Foroughipour M, Steiger K, Weichert W, Dodt HU. Engineering a better light sheet in an axicon-based system using a flattened Gaussian beam of low order. J Biophotonics 2022; 15:e202100342. [PMID: 35104051 DOI: 10.1002/jbio.202100342] [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] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/05/2022] [Accepted: 01/30/2022] [Indexed: 06/14/2023]
Abstract
Lasers are fundamental tools in research and development. The shape of an incident laser beam directly affects the results, when it propagates through complex structured meso-aspheric optical elements. In conic-based systems utilizing elements such as axicons, the impact of secondary lobes is mostly overlooked, although the intensity distributions at the central spot and the side-lobes directly affect the beam properties. We investigate the interaction of two axicons (160° and 170°) with incident beams approximated by Gaussian, high-order Flattened-Gaussian, and low-order Flattened-Gaussian functions. We demonstrate that replacing an incident Gaussian beam with a low-order Flattened-Gaussian beam reduces the secondary lobes and significantly improves the uniformity of the intensity profile. We practically applied this effect in engineering a conic-aspheric-based static light-sheet microscope producing markedly improved results.
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Affiliation(s)
- Saiedeh Saghafi
- Section of Bioelectronics, Institut für Festkörperelektronik (FKE), Vienna, Austria
| | - Klaus Becker
- Section of Bioelectronics, Institut für Festkörperelektronik (FKE), Vienna, Austria
- Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Franco Gori
- Dipartimento di Ingegneria, Roma Tre University, Rome, Italy
| | - Massih Foroughipour
- Section of Bioelectronics, Institut für Festkörperelektronik (FKE), Vienna, Austria
- Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | | | - Meraaj Foroughipour
- Section of Bioelectronics, Institut für Festkörperelektronik (FKE), Vienna, Austria
| | - Katja Steiger
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Wilko Weichert
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Hans-Ulrich Dodt
- Section of Bioelectronics, Institut für Festkörperelektronik (FKE), Vienna, Austria
- Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria
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7
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Bollwein C, Gonҫalves JPL, Utpatel K, Weichert W, Schwamborn K. MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree. Molecules 2022; 27:3464. [PMID: 35684402 PMCID: PMC9182561 DOI: 10.3390/molecules27113464] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/14/2022] [Accepted: 05/23/2022] [Indexed: 02/04/2023] Open
Abstract
Pancreatic ductal adenocarcinoma and cholangiocarcinoma constitute two aggressive tumor types that originate from the epithelial lining of the excretory ducts of the pancreatobiliary tract. Given their close histomorphological resemblance, a correct diagnosis can be challenging and almost impossible without clinical information. In this study, we investigated whether mass spectrometric peptide features could be employed to distinguish pancreatic ductal adenocarcinoma from cholangiocarcinoma. Three tissue microarrays of formalin-fixed and paraffin-embedded material (FFPE) comprising 41 cases of pancreatic ductal adenocarcinoma and 41 cases of cholangiocarcinoma were analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). The derived peptide features and respective intensities were used to build different supervised classification algorithms: gradient boosting (GB), support vector machine (SVM), and k-nearest neighbors (KNN). On a pixel-by-pixel level, a classification accuracy of up to 95% could be achieved. The tentative identification of discriminative tryptic peptide signatures revealed proteins that are involved in the epigenetic regulation of the genome and tumor microenvironment. Despite their histomorphological similarities, mass spectrometry imaging represents an efficient and reliable approach for the distinction of PDAC from CC, offering a promising complementary or alternative approach to the existing tools used in diagnostics such as immunohistochemistry.
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Affiliation(s)
- Christine Bollwein
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (W.W.); (K.S.)
| | - Juliana Pereira Lopes Gonҫalves
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (W.W.); (K.S.)
| | - Kirsten Utpatel
- Institute of Pathology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany;
| | - Wilko Weichert
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (W.W.); (K.S.)
| | - Kristina Schwamborn
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (W.W.); (K.S.)
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8
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Bodden J, Neumann J, Rasper M, Fingerle AA, Knebel C, von Eisenhart-Rothe R, Specht K, Mogler C, Bollwein C, Schwaiger BJ, Gersing AS, Woertler K. Diagnosis of joint invasion in patients with malignant bone tumors: value and reproducibility of direct and indirect signs on MR imaging. Eur Radiol 2022; 32:4738-4748. [PMID: 35258673 PMCID: PMC9213276 DOI: 10.1007/s00330-022-08586-w] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 12/15/2021] [Accepted: 01/12/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To evaluate the performance and reproducibility of MR imaging features in the diagnosis of joint invasion (JI) by malignant bone tumors. METHODS MR images of patients with and without JI (n = 24 each), who underwent surgical resection at our institution, were read by three radiologists. Direct (intrasynovial tumor tissue (ITT), intraarticular destruction of cartilage/bone, invasion of capsular/ligamentous insertions) and indirect (tumor size, signal alterations of epiphyseal/transarticular bone (bone marrow replacement/edema-like), synovial contrast enhancement, joint effusion) signs of JI were assessed. Odds ratios, sensitivity, specificity, PPV, NPV, and reproducibilities (Cohen's and Fleiss' κ) were calculated for each feature. Moreover, the diagnostic performance of combinations of direct features was assessed. RESULTS Forty-eight patients (28.7 ± 21.4 years, 26 men) were evaluated. All readers reliably assessed the presence of JI (sensitivity = 92-100 %; specificity = 88-100%, respectively). Best predictors for JI were direct visualization of ITT (OR = 186-229, p < 0.001) and destruction of intraarticular bone (69-324, p < 0.001). Direct visualization of ITT was also highly reliable in assessing JI (sensitivity, specificity, PPV, NPV = 92-100 %), with excellent reproducibility (κ = 0.83). Epiphyseal bone marrow replacement and synovial contrast enhancement were the most sensitive indirect signs, but lacked specificity (29-54%). By combining direct signs with high specificity, sensitivity was increased (96 %) and specificity (100 %) was maintained. CONCLUSION JI by malignant bone tumors can reliably be assessed on preoperative MR images with high sensitivity, specificity, and reproducibility. Particularly direct visualization of ITT, destruction of intraarticular bone, and a combination of highly specific direct signs were valuable, while indirect signs were less predictive and specific. KEY POINTS • Direct visualization of intrasynovial tumor was the single most sensitive and specific (92-100%) MR imaging sign of joint invasion. • Indirect signs of joint invasion, such as joint effusion or synovial enhancement, were less sensitive and specific compared to direct signs. • A combination of the most specific direct signs of joint invasion showed best results with perfect specificity and PPV (both 100%) and excellent sensitivity and NPV (both 96 %).
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Affiliation(s)
- Jannis Bodden
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry St, Lobby 6, Suite 350, San Francisco, CA, 94107, USA.
| | - Jan Neumann
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Michael Rasper
- Department of Radiology, Kantonsspital Muensterlingen, Spitalcampus 1, 8596, Muensterlingen, Switzerland
| | - Alexander A Fingerle
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Carolin Knebel
- Department of Orthopaedic Surgery, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- Interdisciplinary Musculoskeletal Tumor Center, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Rüdiger von Eisenhart-Rothe
- Department of Orthopaedic Surgery, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- Interdisciplinary Musculoskeletal Tumor Center, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Katja Specht
- Interdisciplinary Musculoskeletal Tumor Center, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- Institute of Pathology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Carolin Mogler
- Interdisciplinary Musculoskeletal Tumor Center, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- Institute of Pathology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Christine Bollwein
- Institute of Pathology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Benedikt J Schwaiger
- Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Alexandra S Gersing
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- Department of Neuroradiology, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Klaus Woertler
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- Interdisciplinary Musculoskeletal Tumor Center, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
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9
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Gonçalves JPL, Bollwein C, Schlitter AM, Martin B, Märkl B, Utpatel K, Weichert W, Schwamborn K. The Impact of Histological Annotations for Accurate Tissue Classification Using Mass Spectrometry Imaging. Metabolites 2021; 11:metabo11110752. [PMID: 34822410 PMCID: PMC8624953 DOI: 10.3390/metabo11110752] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 01/31/2023] Open
Abstract
Knowing the precise location of analytes in the tissue has the potential to provide information about the organs’ function and predict its behavior. It is especially powerful when used in diagnosis and prognosis prediction of pathologies, such as cancer. Spatial proteomics, in particular mass spectrometry imaging, together with machine learning approaches, has been proven to be a very helpful tool in answering some histopathology conundrums. To gain accurate information about the tissue, there is a need to build robust classification models. We have investigated the impact of histological annotation on the classification accuracy of different tumor tissues. Intrinsic tissue heterogeneity directly impacts the efficacy of the annotations, having a more pronounced effect on more heterogeneous tissues, as pancreatic ductal adenocarcinoma, where the impact is over 20% in accuracy. On the other hand, in more homogeneous samples, such as kidney tumors, histological annotations have a slenderer impact on the classification accuracy.
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Affiliation(s)
- Juliana Pereira Lopes Gonçalves
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (C.B.); (A.M.S.); (W.W.)
| | - Christine Bollwein
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (C.B.); (A.M.S.); (W.W.)
| | - Anna Melissa Schlitter
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (C.B.); (A.M.S.); (W.W.)
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Benedikt Martin
- General Pathology and Molecular Diagnostics, Medical Faculty, University Hospital of Augsburg, 86156 Augsburg, Germany; (B.M.); (B.M.)
| | - Bruno Märkl
- General Pathology and Molecular Diagnostics, Medical Faculty, University Hospital of Augsburg, 86156 Augsburg, Germany; (B.M.); (B.M.)
| | - Kirsten Utpatel
- Institute of Pathology, University of Regensburg, 93053 Regensburg, Germany;
| | - Wilko Weichert
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (C.B.); (A.M.S.); (W.W.)
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
- Comprehensive Cancer Center Munich (CCCM), Marchioninistraße 15, 81377 Munich, Germany
| | - Kristina Schwamborn
- Institute of Pathology, School of Medicine, Technical University of Munich, Trogerstraße 18, 81675 Munich, Germany; (J.P.L.G.); (C.B.); (A.M.S.); (W.W.)
- Correspondence:
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10
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Bodden JH, Neumann J, Rasper M, Fingerle AA, Knebel C, Bollwein C, Schwaiger BJ, Gersing AS, Wörtler K. Diagnosis of Joint Invasion in Patients with Malignant Bone Tumors: Value and Reproducibility of Direct and Indirect Signs on MRI. Semin Musculoskelet Radiol 2021. [DOI: 10.1055/s-0041-1731543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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11
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Abstract
Mass spectrometry imaging (MSI) combines the excellence in molecular characterization of mass spectrometry with microscopic imaging capabilities of hematoxylin- and eosin-stained samples, enabling the precise location of several analytes in the tissue. Especially in the field of pathology, MSI may have an impactful role in tumor diagnosis, biomarker identification, prognostic prediction, and characterization of tumor margins during tumor resection procedures. This article discusses the recent developments in the field that are paving the way for this technology to become accepted as an analytical tool in the clinical setting, its current limitations, and future directions.
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Affiliation(s)
| | - Christine Bollwein
- Institute of Pathology, Technical University of Munich, Trogerstr. 18, 81675 Munich, Germany
| | - Wilko Weichert
- Institute of Pathology, Technical University of Munich, Trogerstr. 18, 81675 Munich, Germany
| | - Kristina Schwamborn
- Institute of Pathology, Technical University of Munich, Trogerstr. 18, 81675 Munich, Germany.
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12
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Sabdyusheva Litschauer I, Becker K, Saghafi S, Ballke S, Bollwein C, Foroughipour M, Gaugeler J, Foroughipour M, Schavelová V, László V, Döme B, Brostjan C, Weichert W, Dodt HU. 3D histopathology of human tumours by fast clearing and ultramicroscopy. Sci Rep 2020; 10:17619. [PMID: 33077794 PMCID: PMC7572501 DOI: 10.1038/s41598-020-71737-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 07/02/2020] [Indexed: 12/31/2022] Open
Abstract
Here, we describe a novel approach that allows pathologists to three-dimensionally analyse malignant tissues, including the tumour-host tissue interface. Our visualization technique utilizes a combination of ultrafast chemical tissue clearing and light-sheet microscopy to obtain virtual slices and 3D reconstructions of up to multiple centimetre sized tumour resectates. For the clearing of tumours we propose a preparation technique comprising three steps: (a) Fixation and enhancement of tissue autofluorescence with formalin/5-sulfosalicylic acid. (b) Ultrafast active chemical dehydration with 2,2-dimethoxypropane and (c) refractive index matching with dibenzyl ether at up to 56 °C. After clearing, the tumour resectates are imaged. The images are computationally post-processed for contrast enhancement and artefact removal and then 3D reconstructed. Importantly, the sequence a–c is fully reversible, allowing the morphological correlation of one and the same histological structures, once visualized with our novel technique and once visualized by standard H&E- and IHC-staining. After reverting the clearing procedure followed by standard H&E processing, the hallmarks of ductal carcinoma in situ (DCIS) found in the cleared samples could be successfully correlated with the corresponding structures present in H&E and IHC staining. Since the imaging of several thousands of optical sections is a fast process, it is possible to analyse a larger part of the tumour than by mechanical slicing. As this also adds further information about the 3D structure of malignancies, we expect that our technology will become a valuable addition for histological diagnosis in clinical pathology.
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Affiliation(s)
- Inna Sabdyusheva Litschauer
- Department of Bioelectronics, TU Wien, Vienna, Austria. .,Center for Brain Research, Medical University of Vienna, Vienna, Austria.
| | - Klaus Becker
- Department of Bioelectronics, TU Wien, Vienna, Austria.,Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Saiedeh Saghafi
- Department of Bioelectronics, TU Wien, Vienna, Austria.,Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Simone Ballke
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Christine Bollwein
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Meraaj Foroughipour
- Department of Bioelectronics, TU Wien, Vienna, Austria.,Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Julia Gaugeler
- Department of Bioelectronics, TU Wien, Vienna, Austria.,Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Massih Foroughipour
- Department of Bioelectronics, TU Wien, Vienna, Austria.,Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Viktória Schavelová
- Department of Bioelectronics, TU Wien, Vienna, Austria.,Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Viktória László
- Department of Surgery, Anna Spiegel Center of Translational Research, Medical University of Vienna, Vienna, Austria
| | - Balazs Döme
- Department of Surgery, Anna Spiegel Center of Translational Research, Medical University of Vienna, Vienna, Austria
| | - Christine Brostjan
- Department of Surgery, Anna Spiegel Center of Translational Research, Medical University of Vienna, Vienna, Austria
| | - Wilko Weichert
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Hans-Ulrich Dodt
- Department of Bioelectronics, TU Wien, Vienna, Austria. .,Center for Brain Research, Medical University of Vienna, Vienna, Austria.
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13
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Gersing AS, Woertler K, Jungmann PM, Bollwein C, Schwaiger BJ. Vertebrae, Vertebral End Plates, and Disks: Concepts and Specific Pathologies. Semin Musculoskelet Radiol 2019; 23:489-496. [DOI: 10.1055/s-0039-1693976] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
AbstractVertebral end plates cover the osseous vertebral body. The integrity of the cartilaginous end plates is of great importance for the entire vertebral segment because the vascularized end plate provides the nutrition for the avascular disk. Yet several pathologies may occur at these end plates at the embryonic stage, in childhood to adolescence (e.g., ossification and segmentation disorders of the spine, persistent notochord, slippage of the growth plate), as well as in the mature spine of an adult (degenerative disk disease), that may impact the integrity of the cartilaginous end plate and therefore lead to severe diseases of the spine. This article reviews specific congenital, developmental, and degenerative disorders of the vertebral end plate as well as both established and newly introduced imaging techniques, such as ultrashort echo time imaging based on magnetic resonance imaging, that are suitable for imaging of the end plate.
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Affiliation(s)
- Alexandra S. Gersing
- Department of Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Klaus Woertler
- Department of Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Pia M. Jungmann
- Department of Radiology, University of Freiburg, Freiburg, Germany
| | - Christine Bollwein
- Department of Pathology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Benedikt J. Schwaiger
- Department of Radiology, School of Medicine, Technical University of Munich, Munich, Germany
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14
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Steger A, Bollwein C, Geith T, Ibrahim T. Endovascular rescue-stenting of a ruptured mycotic subclavian pseudoaneurysm caused by pulmonary aspergillosis. Eur Heart J 2019; 40:2520. [PMID: 31329847 DOI: 10.1093/eurheartj/ehz261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Alexander Steger
- Klinik und Poliklinik für Innere Medizin I, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, Germany
| | - Christine Bollwein
- Institut für Pathologie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, Germany
| | - Tobias Geith
- Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, Germany
| | - Tareq Ibrahim
- Klinik und Poliklinik für Innere Medizin I, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, Germany
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15
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Ly A, Longuespée R, Casadonte R, Wandernoth P, Schwamborn K, Bollwein C, Marsching C, Kriegsmann K, Hopf C, Weichert W, Kriegsmann J, Schirmacher P, Kriegsmann M, Deininger SO. Site-to-site reproducibility of matrix-assisted laser desorption ionization mass spectrometry imaging from formalin-fixed paraffin-embedded samples. Pathology 2019. [DOI: 10.1016/j.pathol.2018.12.241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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16
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Ly A, Longuespée R, Casadonte R, Wandernoth P, Schwamborn K, Bollwein C, Marsching C, Kriegsmann K, Hopf C, Weichert W, Kriegsmann J, Schirmacher P, Kriegsmann M, Deininger SO. Site-to-Site Reproducibility and Spatial Resolution in MALDI-MSI of Peptides from Formalin-Fixed Paraffin-Embedded Samples. Proteomics Clin Appl 2019; 13:e1800029. [PMID: 30408343 PMCID: PMC6590241 DOI: 10.1002/prca.201800029] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 10/23/2018] [Indexed: 12/25/2022]
Abstract
Purpose To facilitate the transition of MALDI–MS Imaging (MALDI–MSI) from basic science to clinical application, it is necessary to analyze formalin‐fixed paraffin‐embedded (FFPE) tissues. The aim is to improve in situ tryptic digestion for MALDI–MSI of FFPE samples and determine if similar results would be reproducible if obtained from different sites. Experimental Design FFPE tissues (mouse intestine, human ovarian teratoma, tissue microarray of tumor entities sampled from three different sites) are prepared for MALDI–MSI. Samples are coated with trypsin using an automated sprayer then incubated using deliquescence to maintain a stable humid environment. After digestion, samples are sprayed with CHCA using the same spraying device and analyzed with a rapifleX MALDI Tissuetyper at 50 µm spatial resolution. Data are analyzed using flexImaging, SCiLS, and R. Results Trypsin application and digestion are identified as sources of variation and loss of spatial resolution in the MALDI–MSI of FFPE samples. Using the described workflow, it is possible to discriminate discrete histological features in different tissues and enabled different sites to generate images of similar quality when assessed by spatial segmentation and PCA. Conclusions and Clinical Relevance Spatial resolution and site‐to‐site reproducibility can be maintained by adhering to a standardized MALDI–MSI workflow.
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Affiliation(s)
- Alice Ly
- Bruker Daltonik GmbH, Bremen, Germany
| | - Rémi Longuespée
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | | | | | | | | | - Christian Marsching
- Center for Biomedical Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Carsten Hopf
- Center for Biomedical Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Wilko Weichert
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | | | - Peter Schirmacher
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
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17
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Longuespée R, Ly A, Casadonte R, Schwamborn K, Kazdal D, Zgorzelski C, Bollwein C, Kriegsmann K, Weichert W, Kriegsmann J, Schirmacher P, Fresnais M, Oliveira C, Kriegsmann M. Identification of MALDI Imaging Proteolytic Peptides Using LC‐MS/MS‐Based Biomarker Discovery Data: A Proof of Concept. Proteomics Clin Appl 2018; 13:e1800158. [DOI: 10.1002/prca.201800158] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 11/09/2018] [Indexed: 01/10/2023]
Affiliation(s)
- Rémi Longuespée
- Institute of PathologyUniversity of Heidelberg 69120 Heidelberg Germany
| | - Alice Ly
- Bruker Daltonik GmbH 28359 Bremen Germany
| | | | | | - Daniel Kazdal
- Institute of PathologyUniversity of Heidelberg 69120 Heidelberg Germany
| | | | - Christine Bollwein
- Institute of PathologyTechnical University of Munich 81675 Munich Germany
| | - Katharina Kriegsmann
- Department of Internal Medicine VHematology, Oncology and RheumatologyUniversity of Heidelberg 69120 Heidelberg Germany
| | - Wilko Weichert
- Institute of PathologyTechnical University of Munich 81675 Munich Germany
| | | | - Peter Schirmacher
- Institute of PathologyUniversity of Heidelberg 69120 Heidelberg Germany
| | - Margaux Fresnais
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg 69120 Heidelberg Germany
- German Cancer Research Center (DKFZ)—German Cancer Consortium (DKTK) 69120 Heidelberg Germany
| | | | - Mark Kriegsmann
- Institute of PathologyUniversity of Heidelberg 69120 Heidelberg Germany
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18
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Boxberg M, Bollwein C, Jöhrens K, Kuhn PH, Haller B, Steiger K, Wolff KD, Kolk A, Jesinghaus M, Weichert W. Novel prognostic histopathological grading system in oral squamous cell carcinoma based on tumour budding and cell nest size shows high interobserver and intraobserver concordance. J Clin Pathol 2018; 72:285-294. [PMID: 30530818 DOI: 10.1136/jclinpath-2018-205454] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 10/31/2018] [Accepted: 11/10/2018] [Indexed: 01/23/2023]
Abstract
AIMS Squamous cell carcinoma of the oral cavity (OSCC) is a common tumour entity with a variable, partially highly aggressive clinical course. Recently, we proposed a novel (three-tiered) clinically useful grading scheme strongly associated with patient outcome in OSCC, consisting of a sum score of the histomorphological patterns tumour budding and cell nest size which outperforms WHO based grading algorithms currently in use. The aim of our study was to probe for interobserver and intraobserver reliability of this novel grading system. METHODS 108 OSCC were retrospectively scored according to the proposed grading scheme by three independent pathologists-two experienced head and neck pathologists and one pathologist in training-blinded to each other's scoring results. RESULTS The Cohen's Kappa (κ) values for concordance rates between experienced pathologists were κ=0.97 for the overall grade, κ=0.97 for budding activity and κ=0.91 for cell nest size, indicating a strong interobserver reliability of our proposed grading system. Initial interobserver agreement was markedly lower with the pathologist in training (κ=0.55 for overall grade) but improved significantly after a training session (κ=0.87 for overall grade). Intraobserver concordance was high (κ=0.95 for overall grade), indicating a high reproducibility of the algorithm. CONCLUSIONS In conclusion, our study indicates that OSCC grading based on our proposed novel scheme yields an excellent inter-reader and intrareader agreement, further supporting the suitability of this grading system for routine pathological practice.
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Affiliation(s)
- Melanie Boxberg
- Institute of Pathology, Technical University of Munich (TUM), Munich, Germany
| | - Christine Bollwein
- Institute of Pathology, Technical University of Munich (TUM), Munich, Germany
| | - Korinna Jöhrens
- Institute of Pathology, University Carl Gustav Carus, Dresden, Germany
| | - Peer-Hendrik Kuhn
- Institute of Pathology, Technical University of Munich (TUM), Munich, Germany
| | - Bernhard Haller
- Institute of Medical Informatics, Statistics and Epidemiology, Technical University of Munich (TUM), Munich, Germany
| | - Katja Steiger
- Institute of Pathology, Technical University of Munich (TUM), Munich, Germany
| | - Klaus-Dietrich Wolff
- Department of Oral- and Maxillofacial Surgery, Klinikum Rechts der Isar, Munich, Germany
| | - Andreas Kolk
- Department of Oral- and Maxillofacial Surgery, Klinikum Rechts der Isar, Munich, Germany
| | - Moritz Jesinghaus
- Institute of Pathology, Technical University of Munich (TUM), Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
| | - Wilko Weichert
- Institute of Pathology, Technical University of Munich (TUM), Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
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19
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Boxberg M, Jesinghaus M, Dorfner C, Mogler C, Drecoll E, Warth A, Steiger K, Bollwein C, Meyer P, Wolff KD, Kolk A, Weichert W. Tumour budding activity and cell nest size determine patient outcome in oral squamous cell carcinoma: proposal for an adjusted grading system. Histopathology 2017; 70:1125-1137. [PMID: 28122134 DOI: 10.1111/his.13173] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 11/17/2016] [Accepted: 01/23/2017] [Indexed: 12/14/2022]
Abstract
AIMS Oral squamous cell carcinoma (OSCC) is a common malignancy with a variable clinical course. One of the established survival predictors in carcinomas in general is tumour grade; in OSCC, however, grading according to the World Health Organization (WHO) has no independent prognostic impact. Recently, a novel grading scheme associated with high impact on patient outcome has been proposed for squamous cell carcinoma of the lung. METHODS AND RESULTS To probe whether this scheme could be applied to the upper aerodigestive tract, we retrospectively evaluated 157 chemo- and radiotherapy-naive OSCCs with complete clinical follow-up data and standardized treatment for tumour budding activity (BA), cell nest size (CNS), extent of keratinization, stromal content, nuclear size and mitotic count. Histomorphological characteristics were correlated with clinicopathological data and patient outcome. As in squamous cell carcinoma of the lung, high BA and small CNS were correlated significantly with shortened overall, disease-specific and disease-free survival. A three-tiered grading system based on a sum score of these two prognostic markers proved to be a strong age-, stage- and sex-independent prognosticator for survival with a hazard ratio for overall survival of 2.1 for intermediately differentiated (G2) tumours and 3.4 for poorly differentiated (G3) tumours compared to well-differentiated (G1) tumours (P < 0.001). CONCLUSIONS We recapitulated and validated almost exactly the strong prognostic impact of a grading algorithm proposed recently for squamous cell carcinoma of the lung in OSCC. Our data may pave the way for a prognostically highly relevant future squamous cell carcinoma grading system broadly applicable in the aerodigestive tract.
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Affiliation(s)
- Melanie Boxberg
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Moritz Jesinghaus
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Christiane Dorfner
- Department of Head and Neck Surgery, Klinikum Rechts der Isar, Munich, Germany
| | - Carolin Mogler
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Enken Drecoll
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Arne Warth
- Institute of Pathology, Heidelberg University, Heidelberg, Germany.,Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research, Heidelberg, Germany
| | - Katja Steiger
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | | | - Petra Meyer
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Klaus D Wolff
- Department of Head and Neck Surgery, Klinikum Rechts der Isar, Munich, Germany
| | - Andreas Kolk
- Department of Head and Neck Surgery, Klinikum Rechts der Isar, Munich, Germany
| | - Wilko Weichert
- Institute of Pathology, Technical University of Munich, Munich, Germany.,National Center of Tumor Diseases (NCT), Heidelberg, Germany.,German Cancer Consortium (DKTK), Germany
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Sommer WH, Bollwein C, Thierfelder KM, Baumann A, Janssen H, Ertl-Wagner B, Reiser MF, Plate A, Straube A, von Baumgarten L. Crossed cerebellar diaschisis in patients with acute middle cerebral artery infarction: Occurrence and perfusion characteristics. J Cereb Blood Flow Metab 2016; 36:743-54. [PMID: 26661242 PMCID: PMC4821023 DOI: 10.1177/0271678x15617953] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2015] [Accepted: 10/12/2015] [Indexed: 01/22/2023]
Abstract
We aimed to investigate the overall prevalence and possible factors influencing the occurrence of crossed cerebellar diaschisis after acute middle cerebral artery infarction using whole-brain CT perfusion. A total of 156 patients with unilateral hypoperfusion of the middle cerebral artery territory formed the study cohort; 352 patients without hypoperfusion served as controls. We performed blinded reading of different perfusion maps for the presence of crossed cerebellar diaschisis and determined the relative supratentorial and cerebellar perfusion reduction. Moreover, imaging patterns (location and volume of hypoperfusion) and clinical factors (age, sex, time from symptom onset) resulting in crossed cerebellar diaschisis were analysed. Crossed cerebellar diaschisis was detected in 35.3% of the patients with middle cerebral artery infarction. Crossed cerebellar diaschisis was significantly associated with hypoperfusion involving the left hemisphere, the frontal lobe and the thalamus. The degree of the relative supratentorial perfusion reduction was significantly more pronounced in crossed cerebellar diaschisis-positive patients but did not correlate with the relative cerebellar perfusion reduction. Our data suggest that (i) crossed cerebellar diaschisis is a common feature after middle cerebral artery infarction which can robustly be detected using whole-brain CT perfusion, (ii) its occurrence is influenced by location and degree of the supratentorial perfusion reduction rather than infarct volume (iii) other clinical factors (age, sex and time from symptom onset) did not affect the occurrence of crossed cerebellar diaschisis.
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Affiliation(s)
- Wieland H Sommer
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Christine Bollwein
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Kolja M Thierfelder
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Alena Baumann
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Hendrik Janssen
- Department of Neuroradiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Birgit Ertl-Wagner
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Maximilian F Reiser
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Annika Plate
- Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Andreas Straube
- Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Louisa von Baumgarten
- Department of Neurology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
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