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  • 1
    In: Investigative Radiology, Ovid Technologies (Wolters Kluwer Health), Vol. 58, No. 4 ( 2023-4), p. 273-282
    Abstract: Diffusion-weighted magnetic resonance imaging (MRI) is increasingly important in patients with multiple myeloma (MM). The objective of this study was to train and test an algorithm for automatic pelvic bone marrow analysis from whole-body apparent diffusion coefficient (ADC) maps in patients with MM, which automatically segments pelvic bones and subsequently extracts objective, representative ADC measurements from each bone. Materials and Methods In this retrospective multicentric study, 180 MRIs from 54 patients were annotated (semi)manually and used to train an nnU-Net for automatic, individual segmentation of the right hip bone, the left hip bone, and the sacral bone. The quality of the automatic segmentation was evaluated on 15 manually segmented whole-body MRIs from 3 centers using the dice score. In 3 independent test sets from 3 centers, which comprised a total of 312 whole-body MRIs, agreement between automatically extracted mean ADC values from the nnU-Net segmentation and manual ADC measurements from 2 independent radiologists was evaluated. Bland-Altman plots were constructed, and absolute bias, relative bias to mean, limits of agreement, and coefficients of variation were calculated. In 56 patients with newly diagnosed MM who had undergone bone marrow biopsy, ADC measurements were correlated with biopsy results using Spearman correlation. Results The ADC-nnU-Net achieved automatic segmentations with mean dice scores of 0.92, 0.93, and 0.85 for the right pelvis, the left pelvis, and the sacral bone, whereas the interrater experiment gave mean dice scores of 0.86, 0.86, and 0.77, respectively. The agreement between radiologists' manual ADC measurements and automatic ADC measurements was as follows: the bias between the first reader and the automatic approach was 49 × 10 −6 mm 2 /s, 7 × 10 −6 mm 2 /s, and −58 × 10 −6 mm 2 /s, and the bias between the second reader and the automatic approach was 12 × 10 −6 mm 2 /s, 2 × 10 −6 mm 2 /s, and −66 × 10 −6 mm 2 /s for the right pelvis, the left pelvis, and the sacral bone, respectively. The bias between reader 1 and reader 2 was 40 × 10 −6 mm 2 /s, 8 × 10 −6 mm 2 /s, and 7 × 10 −6 mm 2 /s, and the mean absolute difference between manual readers was 84 × 10 −6 mm 2 /s, 65 × 10 −6 mm 2 /s, and 75 × 10 −6 mm 2 /s. Automatically extracted ADC values significantly correlated with bone marrow plasma cell infiltration ( R = 0.36, P = 0.007). Conclusions In this study, a nnU-Net was trained that can automatically segment pelvic bone marrow from whole-body ADC maps in multicentric data sets with a quality comparable to manual segmentations. This approach allows automatic, objective bone marrow ADC measurements, which agree well with manual ADC measurements and can help to overcome interrater variability or nonrepresentative measurements. Automatically extracted ADC values significantly correlate with bone marrow plasma cell infiltration and might be of value for automatic staging, risk stratification, or therapy response assessment.
    Type of Medium: Online Resource
    ISSN: 1536-0210 , 0020-9996
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
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  • 2
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 1829-1829
    Abstract: Abstract 1829 Poster Board I-855 Introduction In addition to current clinical and cytogenetic risk factors, several highly predictive gene expression based risk stratifications have been proposed in multiple myeloma. At the same time, putative drugable targets have been identified which are only expressed in a subpopulation of myeloma patients (e.g. AURKA). Whereas assessment of both works well within a clinical trial or an experimental setting, they can currently not readily be applied to clinical routine. Methods As reference a group of 300 Affymetrix U133 Plus 2.0 DNA microarrays from patients with multiple myeloma is preprocessed using GC-RMA. Quality control of the DNA microarrays is implemented according to the MACQ-Project. Gene expression based prediction of sex, immunoglobulin- and light chain type is used as sample identity-test within a multicenter-setting. Gene expression based risk stratification (IFM-score, 70-gene high risk score, gene expression based proliferation index) and molecular classifications are assessed as published, as are individual target genes e.g. AURKA. To classify a patient within a prospective clinical routine setting, the documentation by value strategy (Kostka & Spang, 2008) was adapted for GC-RMA preprocessing and is used for documenting the quantitative preprocessing information of the reference group. The gene expression based report is developed in the open source language R, containing a GUI based on Gtk2, and the final report is created as a PDF-file. Results We present here our publicly available (http://code.google.com/p/gep-r) open source software-framework (GEP-R) that allows creating a gene expression based report from Affymetrix raw-data. The risk stratification of an individual patient is assessed and based on saved preprocessing information of a reference cohort by treating the individual patient's expression data as being part of this group, assuring comparable risk stratification. Results can be interpreted and commented within the report and a PDF based document be created. The generation of the report can be performed within short time on a standard computer. Conclusion Gene expression reporting allows validated assessment of risk and of individual therapeutic targets in myeloma patients within a clinical routine setting. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 3
    In: Investigative Radiology, Ovid Technologies (Wolters Kluwer Health), Vol. 57, No. 11 ( 2022-11), p. 752-763
    Abstract: Disseminated bone marrow (BM) involvement is frequent in multiple myeloma (MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole BM. Reading of such whole-body scans is time-consuming, and yet radiologists can transfer only a small fraction of the information of the imaging data set to the report. This limits the influence that imaging can have on clinical decision-making and in research toward precision oncology. The objective of this feasibility study was to implement a concept for automatic, comprehensive characterization of the BM from wb-MRI, by automatic BM segmentation and subsequent radiomics analysis of 30 different BM spaces (BMS). Materials and Methods This retrospective multicentric pilot study used a total of 106 wb-MRI from 102 patients with (smoldering) MM from 8 centers. Fifty wb-MRI from center 1 were used for training of segmentation algorithms (nnU-Nets) and radiomics algorithms. Fifty-six wb-MRI from 8 centers, acquired with a variety of different MRI scanners and protocols, were used for independent testing. Manual segmentations of 2700 BMS from 90 wb-MRI were performed for training and testing of the segmentation algorithms. For each BMS, 296 radiomics features were calculated individually. Dice score was used to assess similarity between automatic segmentations and manual reference segmentations. Results The “multilabel nnU-Net” segmentation algorithm, which performs segmentation of 30 BMS and labels them individually, reached mean dice scores of 0.88 ± 0.06/0.87 ± 0.06/0.83 ± 0.11 in independent test sets from center 1/center 2/center 3–8 (interrater variability between radiologists, 0.88 ± 0.01). The subset from the multicenter, multivendor test set (center 3–8) that was of high imaging quality was segmented with high precision (mean dice score, 0.87), comparable to the internal test data from center 1. The radiomic BM phenotype consisting of 8880 descriptive parameters per patient, which result from calculation of 296 radiomics features for each of the 30 BMS, was calculated for all patients. Exemplary cases demonstrated connections between typical BM patterns in MM and radiomic signatures of the respective BMS. In plausibility tests, predicted size and weight based on radiomics models of the radiomic BM phenotype significantly correlated with patients' actual size and weight ( P = 0.002 and P = 0.003, respectively). Conclusions This pilot study demonstrates the feasibility of automatic, objective, comprehensive BM characterization from wb-MRI in multicentric data sets. This concept allows the extraction of high-dimensional phenotypes to capture the complexity of disseminated BM disorders from imaging. Further studies need to assess the clinical potential of this method for automatic staging, therapy response assessment, or prediction of biopsy results.
    Type of Medium: Online Resource
    ISSN: 1536-0210 , 0020-9996
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2041543-6
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  • 4
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2011
    In:  Clinical Cancer Research Vol. 17, No. 23 ( 2011-12-01), p. 7240-7247
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 17, No. 23 ( 2011-12-01), p. 7240-7247
    Abstract: Purpose: Multiple myeloma is an incurable malignant plasma cell disease characterized by survival ranging from several months to more than 15 years. Assessment of risk and underlying molecular heterogeneity can be excellently done by gene expression profiling (GEP), but its way into clinical routine is hampered by the lack of an appropriate reporting tool and the integration with other prognostic factors into a single “meta” risk stratification. Experimental Design: The GEP-report (GEP-R) was built as an open-source software developed in R for gene expression reporting in clinical practice using Affymetrix microarrays. GEP-R processes new samples by applying a documentation-by-value strategy to the raw data to be able to assign thresholds and grouping algorithms defined on a reference cohort of 262 patients with multiple myeloma. Furthermore, we integrated expression-based and conventional prognostic factors within one risk stratification (HM-metascore). Results: The GEP-R comprises (i) quality control, (ii) sample identity control, (iii) biologic classification, (iv) risk stratification, and (v) assessment of target genes. The resulting HM-metascore is defined as the sum over the weighted factors gene expression–based risk-assessment (UAMS-, IFM-score), proliferation, International Staging System (ISS) stage, t(4;14), and expression of prognostic target genes (AURKA, IGF1R) for which clinical grade inhibitors exist. The HM-score delineates three significantly different groups of 13.1%, 72.1%, and 14.7% of patients with a 6-year survival rate of 89.3%, 60.6%, and 18.6%, respectively. Conclusion: GEP reporting allows prospective assessment of risk and target gene expression and integration of current prognostic factors in clinical routine, being customizable about novel parameters or other cancer entities. Clin Cancer Res; 17(23); 7240–7. ©2011 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
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  • 5
  • 6
    In: Investigative Radiology, Ovid Technologies (Wolters Kluwer Health), Vol. 57, No. 4 ( 2022-4), p. 272-281
    Abstract: Apparent diffusion coefficient (ADC) and signal intensity (SI) measurements play an increasing role in magnetic resonance imaging (MRI) of monoclonal plasma cell disorders. The purpose of this study was to assess interrater variability, repeatability, and reproducibility of ADC and SI measurements from bone marrow (BM) under variation of MRI protocols and scanners. Patients and Methods Fifty-five patients with suspected or confirmed monoclonal plasma cell disorder were prospectively included in this institutional review board–approved study and underwent several measurements after the standard clinical whole-body MR scan, including repeated scan after repositioning, scan with a second MRI protocol, scan at a second 1.5 T scanner with a harmonized MRI protocol, and scan at a 3 T scanner. For T1-weighted, T2-weighted STIR, B800 images, and ADC maps, regions of interest were placed in the BM of the iliac crest and sacral bone, and in muscle tissue for image normalization. Bland-Altman plots were constructed, and absolute bias, relative bias to mean, limits of agreement, and coefficients of variation were calculated. Results Interrater variability and repeatability experiments showed a maximal relative bias of −0.077 and a maximal coefficient of variation of 16.2% for all sequences. Although the deviations at the second 1.5 T scanner with harmonized MRI protocol to the first 1.5 T scanner showed a maximal relative bias of 0.124 for all sequences, the variation of the MRI protocol and scan at the 3 T scanner led to large relative biases of up to −0.357 and −0.526, respectively. When comparing the 3 T scanner to the 1.5 T scanner, normalization to muscle reduced the bias of T1-weighted and T2-weighted sequences, but not of ADC maps. Conclusions The MRI scanners with identical field strength and harmonized MRI protocols can provide relatively stable quantitative measurements of BM ADC and SI. Deviations in MRI field strength and MRI protocol should be avoided when applying ADC cutoff values, which were established at other scanners or when performing multicentric imaging trials.
    Type of Medium: Online Resource
    ISSN: 1536-0210 , 0020-9996
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2041543-6
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  • 7
    In: Blood, American Society of Hematology, Vol. 112, No. 11 ( 2008-11-16), p. 1667-1667
    Abstract: BACKGROUND. The proliferation-rate of primary myeloma cells is a strong adverse prognostic factor in various trials, but not routinely assessed, partially due to effort in obtaining it. AIM. As gene-expression profiling is increasingly considered a standard diagnostics in myeloma, we investigated the possibility to develop a prognostically relevant gene-expression based proliferation index (GPI). PATIENTS AND METHODS. Gene expression was determined by Affymetrix DNA-microarrays in 784 samples including two independent sets of 233 and 345 CD138-purified myeloma cells from previously untreated patients. The GPI was derived by selecting genes associated with proliferation (in terms of gene ontology) differentially expressed in proliferating malignant (human myeloma cell lines) and benign (plasmablastic) cells compared to non-proliferating, non-malignant cells (normal plasma cells and memory B-cells). The GPI comprises the sum of the expression values of 50 genes (ASPM, AURKA, AURKB, BIRC5, BRCA1, BUB1, BUB1B, CCNA2, CCNB1, CCNB2, CDC2, CDC20, CDC25C, CDC6, CDCA8, CDKN3, CEP55, CHEK1, CKS1B, CKS2, DLG7, ESPL1, GINS1, GTSE1, KIAA1794, KIF11, KIF15, KIF20A, KIF2C, KNTC2, MAD2L1, MCM10, MCM6, MKI67, NCAPD3, NCAPG, NCAPG2, NEK2, NPM1, PAK3, PCNA, PGAM1, PLK4, PTTG1, RACGAP1, SMC2, SPAG5. STIL, TPX2, ZWINT). Proliferation of primary myeloma cells was assessed by propidium iodinestaining (n=67). Chromosomal aberrations were assessed by comprehensive iFISH using a set of probes for the chromosomal regions 1q21, 6q21, 8p21, 9q34, 11q23, 11q13, 13q14.3, 14q32, 15q22, 17p13, 19q13, 22q11, as well as the translocations t(4;14)(p16.3;q32.3) and t(11;14)(q13;q32.3). RESULTS. In the two groups, 39 and 32 percent of primary myeloma cells show a GPI above the median plus three standard deviations of normal bone marrow plasma cells, respectively. The GPI is significantly higher in advanced- compared to early-stage myeloma (P=.001) and in patients harboring a gain of 1q21 (n=95, P & lt;0.001). It correlates significantly with proliferation as determined by propidium iodine in primary myeloma cells (rs=.52, P & lt;.001, n=67). The GPI as continuous variable is significantly predictive for event-free survival (EFS, n=120, P & lt;.001, n=345, P & lt;.001, respectively) and overall survival (OAS, n=345, P & lt;.001) in patients treated with high-dose chemotherapy, independent of serum-β2-microglobulin (B2M) or ISS-stage. A GPI above the median (GPIhigh) delineated significantly inferior EFS (n=168, 41.6 vs. 26 months, P=.04, HR 1.57, CI [1.02,2.42]; n=345, 68.6 vs. 45.2 months, HR 1.55, CI [1.16,2.09] , P=.003) and OAS (n=345, P & lt;.001) in two independent cohorts of patients undergoing high-dose chemotherapy. By using B2M above 3.5 mg/l and GPI as staging variables, four groups with difference in median EFS (n=345, B2M & lt;3.5mg/l, GPIhigh/low 76.1 months; B2M & lt; 3.5mg/l, GPIhigh 62.4 months, B2M ≥3.5mg/l, GPIlow 41.8 months, B2M ≥3.5mg/l, GPI 36.1 months, P & lt;.001) and OAS can be delineated. CONCLUSION. The GPI represents a validated tool for the assessment of proliferation in multiple myeloma patients, allows a risk stratification in terms of proliferation either alone or in combination with B2M or ISS, respectively, and has the potential to be used within a risk adapted targeting of anti-proliferative treatment.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2008
    detail.hit.zdb_id: 1468538-3
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  • 8
    In: The British Journal of Radiology, British Institute of Radiology, Vol. 96, No. 1145 ( 2023-04-01)
    Abstract: To investigate the reproducibility of size measurements of focal bone marrow lesions (FL) in MRI in patients with monoclonal plasma cell disorders under variation of patient positioning and observer. Methods: A data set from a prospective test–retest study was used, in which 37 patients with a total of 140 FL had undergone 2 MRI scans with identical parameters after patient repositioning. Two readers measured long and short axis diameter on the initial scan in T 1 weighted, T 2 weighted short tau inversion recovery and diffusion-weighted imaging sequences. The first reader additionally measured FL on the retest-scan. The Bland–Altman method was used to assess limits of agreement (LoA), and the frequencies of absolute size changes were calculated. Results: In the simple test–retest experiment with one identical reader, a deviation of ≥1 mm / ≥2 mm / ≥3 mm for the long axis diameter in T 1 weighted images was observed in 66% / 25% / 8% of cases. When comparing measurements of one reader on the first scan to the measurement of the other reader on the retest scan, a change of ≥1 mm / ≥3 mm / ≥5 mm for the long axis diameter in T 1 weighted images was observed in 78% / 21% / 5% of cases. Conclusion: Small deviations in FL size are common and probably due to variation in patient positioning or inter-rater variability alone, without any actual biological change of the FL. Knowledge of the uncertainty associated with size measurements of FLs is critical for radiologists and oncologists when interpreting changes in FL size in clinical practice and in clinical trials. Advances in knowledge: According to the MY-RADs criteria, size measurements of focal lesions in MRI are now of relevance for response assessment in patients with monoclonal plasma cell disorders. Size changes of 1 or 2 mm are frequently observed due to uncertainty of the measurement only, while the actual focal lesion has not undergone any biological change. Size changes of at least 6 mm or more in T 1 weighted or T 2 weighted short tau inversion recovery sequences occur in only 5% or less of cases when the focal lesion has not undergone any biological change.
    Type of Medium: Online Resource
    ISSN: 0007-1285 , 1748-880X
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    Language: English
    Publisher: British Institute of Radiology
    Publication Date: 2023
    detail.hit.zdb_id: 1468548-6
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  • 9
    In: British Journal of Haematology, Wiley, Vol. 174, No. 1 ( 2016-07), p. 127-135
    Abstract: This prospective study aimed to investigate the prognostic significance of dynamic contrast enhanced magnetic resonance imaging ( DCE ‐ MRI ) as a non‐invasive imaging technique delivering the quantitative parameters amplitude A (reflecting blood volume) and exchange rate constant kep (reflecting vascular permeability) in patients with asymptomatic monoclonal plasma cell diseases. We analysed DCE ‐ MRI parameters in 33 healthy controls and 148 patients with monoclonal gammopathy of undetermined significance ( MGUS ) or smouldering multiple myeloma ( SMM ) according to the 2003 IMWG guidelines. All individuals underwent standardized DCE ‐ MRI of the lumbar spine. Regions of interest were drawn manually on T1‐weighted images encompassing the bone marrow of each of the 5 lumbar vertebrae sparing the vertebral vessel. Prognostic significance for median of amplitude A (univariate: P   〈  0·001, hazard ratio ( HR ) 2·42, multivariate P  = 0·02, HR 2·7) and exchange rate constant kep (univariate P  = 0·03, HR 1·92, multivariate P  = 0·46, HR 1·5) for time to progression of 79 patients with SMM was found. Patients with amplitude A above the optimal cut‐off point of 0·89 arbitrary units had a 2‐year progression rate into symptomatic disease of 80%. In conclusion, DCE ‐ MRI parameters are of prognostic significance for time to progression in patients with SMM but not in individuals with MGUS .
    Type of Medium: Online Resource
    ISSN: 0007-1048 , 1365-2141
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 1475751-5
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  • 10
    In: European Radiology, Springer Science and Business Media LLC, Vol. 26, No. 5 ( 2016-5), p. 1404-1411
    Type of Medium: Online Resource
    ISSN: 0938-7994 , 1432-1084
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 1472718-3
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