Radiologists utilize pictures from X-rays, magnetic resonance imaging, or computed tomography scans to diagnose bone cancer. Manual methods are labor-intensive and may need specialized knowledge. As a result, creating an automated process for distinguishing between malignant and healthy bone is essential. Bones that have cancer have a different texture than bones in unaffected areas. Diagnosing hematological illnesses relies on correct labeling and categorizing nucleated cells in the bone marrow. However, timely diagnosis and treatment are hampered by pathologists' need to identify specimens, which can be sensitive and time-consuming manually. Humanity's ability to evaluate and identify these more complicated illnesses has significantly been bolstered by the development of artificial intelligence, particularly machine, and deep learning. Conversely, much research and development is needed to enhance cancer cell identification-and lower false alarm rates. We built a deep learning model for morphological analysis to solve this problem. This paper introduces a novel deep convolutional neural network architecture in which hybrid multi-objective and category-based optimization algorithms are used to optimize the hyperparameters adaptively. Using the processed cell pictures as input, the proposed model is then trained with an optimized attention-based multi-scale convolutional neural network to identify the kind of cancer cells in the bone marrow. Extensive experiments are run on publicly available datasets, with the results being measured and evaluated using a wide range of performance indicators. In contrast to deep learning models that have already been trained, the total accuracy of 99.7% was determined to be superior.

• Klíčová slova
• Attention-based multi-scale convolutional neural network, Automated diagnosis, Bone marrow, Deep convolutional neural networks, Radiologists,
• MeSH
• algoritmy MeSH
• deep learning * MeSH
• kostní dřeň diagnostické zobrazování   patologie   MeSH
• lidé MeSH
• nádory kostí patologie   diagnostické zobrazování   diagnóza   MeSH
• neuronové sítě * MeSH
• počítačové zpracování obrazu metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Nanoparticles have been employed to elucidate the innate immune cell biology and trace cells accumulating at inflammation sites. Inflammation prompts innate immune cells, the initial responders, to undergo rapid turnover and replenishment within the hematopoietic bone marrow. Yet, we currently lack a precise understanding of how inflammation affects cellular nanoparticle uptake at the level of progenitors of innate immune cells in the hematopoietic marrow. To bridge this gap, we aimed to develop imaging tools to explore the uptake dynamics of fluorescently labeled cross-linked iron oxide nanoparticles in the bone marrow niche under varying degrees of inflammation. The inflammatory models included mice that received intramuscular lipopolysaccharide injections to induce moderate inflammation and streptozotocin-induced diabetic mice with additional intramuscular lipopolysaccharide injections to intensify inflammation. In vivo magnetic resonance imaging (MRI) and fluorescence imaging revealed an elevated level of nanoparticle uptake at the bone marrow as the levels of inflammation increased. The heightened uptake of nanoparticles within the inflamed marrow was attributed to enhanced permeability and retention with increased nanoparticle intake by hematopoietic progenitor cells. Moreover, intravital microscopy showed increased colocalization of nanoparticles within slowly patrolling monocytes in these inflamed hematopoietic marrow niches. Our discoveries unveil a previously unknown role of the inflamed hematopoietic marrow in enhanced storage and rapid deployment of nanoparticles, which can specifically target innate immune cells at their production site during inflammation. These insights underscore the critical function of the hematopoietic bone marrow in distributing iron nanoparticles to innate immune cells during inflammation. Our findings offer diagnostic and prognostic value, identifying the hematopoietic bone marrow as an imaging biomarker for early detection in inflammation imaging, advancing personalized clinical care.

• Klíčová slova
• MRI, inflammation, intravital microscopy, iron nanoparticle, myelopoiesis,
• MeSH
• experimentální diabetes mellitus * patologie   MeSH
• kostní dřeň diagnostické zobrazování   MeSH
• lipopolysacharidy MeSH
• myši MeSH
• nanočástice * MeSH
• zánět diagnostické zobrazování   patologie   MeSH
• zvířata MeSH
• Check Tag
• myši MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• lipopolysacharidy MeSH

OBJECTIVES: In multiple myeloma and its precursor stages, plasma cell infiltration (PCI) and cytogenetic aberrations are important for staging, risk stratification, and response assessment. However, invasive bone marrow (BM) biopsies cannot be performed frequently and multifocally to assess the spatially heterogenous tumor tissue. Therefore, the goal of this study was to establish an automated framework to predict local BM biopsy results from magnetic resonance imaging (MRI). MATERIALS AND METHODS: This retrospective multicentric study used data from center 1 for algorithm training and internal testing, and data from center 2 to 8 for external testing. An nnU-Net was trained for automated segmentation of pelvic BM from T1-weighted whole-body MRI. Radiomics features were extracted from these segmentations, and random forest models were trained to predict PCI and the presence or absence of cytogenetic aberrations. Pearson correlation coefficient and the area under the receiver operating characteristic were used to evaluate the prediction performance for PCI and cytogenetic aberrations, respectively. RESULTS: A total of 672 MRIs from 512 patients (median age, 61 years; interquartile range, 53-67 years; 307 men) from 8 centers and 370 corresponding BM biopsies were included. The predicted PCI from the best model was significantly correlated ( P ≤ 0.01) to the actual PCI from biopsy in all internal and external test sets (internal test set: r = 0.71 [0.51, 0.83]; center 2, high-quality test set: r = 0.45 [0.12, 0.69]; center 2, other test set: r = 0.30 [0.07, 0.49]; multicenter test set: r = 0.57 [0.30, 0.76]). The areas under the receiver operating characteristic of the prediction models for the different cytogenetic aberrations ranged from 0.57 to 0.76 for the internal test set, but no model generalized well to all 3 external test sets. CONCLUSIONS: The automated image analysis framework established in this study allows for noninvasive prediction of a surrogate parameter for PCI, which is significantly correlated to the actual PCI from BM biopsy.

• MeSH
• biopsie MeSH
• chromozomální aberace MeSH
• deep learning * MeSH
• kostní dřeň diagnostické zobrazování   MeSH
• lidé středního věku MeSH
• lidé MeSH
• magnetická rezonanční tomografie metody   MeSH
• mnohočetný myelom * diagnostické zobrazování   genetika   MeSH
• retrospektivní studie MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• práce podpořená grantem MeSH

PURPOSE OF REVIEW: This review focuses on the recent findings regarding bone marrow adipose tissue (BMAT) concerning bone health. We summarize the variations in BMAT in relation to age, sex, and skeletal sites, and provide an update on noninvasive imaging techniques to quantify human BMAT. Next, we discuss the role of BMAT in patients with osteoporosis and interventions that affect BMAT. RECENT FINDINGS: There are wide individual variations with region-specific fluctuation and age- and gender-specific differences in BMAT content and composition. The Bone Marrow Adiposity Society (BMAS) recommendations aim to standardize imaging protocols to increase comparability across studies and sites. Water-fat imaging (WFI) seems an accurate and efficient alternative for spectroscopy (1H-MRS). Most studies indicate that greater BMAT is associated with lower bone mineral density (BMD) and a higher prevalence of vertebral fractures. The proton density fat fraction (PDFF) and changes in lipid composition have been associated with an increased risk of fractures independently of BMD. Therefore, PDFF and lipid composition could potentially be future imaging biomarkers for assessing fracture risk. Evidence of the inhibitory effect of osteoporosis treatments on BMAT is still limited to a few randomized controlled trials. Moreover, results from the FRAME biopsy sub-study highlight contradictory findings on the effect of the sclerostin antibody romosozumab on BMAT. Further understanding of the role(s) of BMAT will provide insight into the pathogenesis of osteoporosis and may lead to targeted preventive and therapeutic strategies.

• Klíčová slova
• Bone marrow adipose tissue, Bone mineral density, Clinical trials, Fractures, Imaging, Lipid composition, Osteoporosis,
• MeSH
• kostní denzita MeSH
• kostní dřeň * diagnostické zobrazování   MeSH
• lidé MeSH
• lipidy MeSH
• magnetická rezonanční tomografie metody   MeSH
• osteoporóza * diagnostické zobrazování   patologie   MeSH
• tuková tkáň diagnostické zobrazování   patologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Názvy látek
• lipidy MeSH

Mastocytosis is a clonal hematopoietic disorder characterized by proliferation of abnormal mast cells in various organs including the skin, digestive system, lymph nodes, and bone marrow. We report on a 75-year-old woman presenting with abdominal pain, vomiting, diarrhoea, myalgia, and weight loss. Abdominal CT showed hepatosplenomegaly with heterogeneous splenic parenchyma, lymphadenopathy, and osteopenia with areas of osteosclerosis but no primary tumour. An 18F-FDG PET/CT revealed an overall low metabolic activity of the lesions with a diffuse bone marrow involvement raising suspicion of a haematological neoplasm. Subsequently, bone marrow and peripheral blood examinations confirmed the diagnosis of aggressive systemic mastocytosis.

Die Mastozytose ist eine klonale hämatopoetische Erkrankung, welche durch eine Proliferation von abnormalen Mastzellen in verschiedenen Organen wie Haut, Verdauungstrakt, Lymphknoten und Knochenmark gekennzeichnet ist. Wir berichten über eine 75-jährige Frau mit Bauchschmerzen, Erbrechen, Diarrhö, Myalgie und Gewichtsverlust. Ein CT des Abdomens zeigte eine Hepatosplenomegalie mit heterogenem Milzparenchym, Lymphadenopathie und Osteopenie mit osteosklerotischen Herden, aber keinen Primärtumor. Im PET/CT fand sich eine insgesamt niedrige metabolische Aktivität der Läsionen, mit einer diffusen Knochenmarkbeteiligung die verdächtig auf eine hämatologische Neoplasie war. Eine Untersuchung des Knochenmarks und des peripheren Blutes bestätigte anschließend die Diagnose einer aggressiven systemischen Mastozytose.

• MeSH
• fluorodeoxyglukosa F18 * MeSH
• kostní dřeň diagnostické zobrazování   MeSH
• lidé MeSH
• PET/CT MeSH
• pozitronová emisní tomografie MeSH
• senioři MeSH
• systémová mastocytóza * diagnostické zobrazování   MeSH
• Check Tag
• lidé MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• kazuistiky MeSH
• Názvy látek
• fluorodeoxyglukosa F18 * MeSH

Extramedullary disease (EMM) represents a rare, aggressive and mostly resistant phenotype of multiple myeloma (MM). EMM is frequently associated with high-risk cytogenetics, but their complex genomic architecture is largely unexplored. We used whole-genome optical mapping (Saphyr, Bionano Genomics) to analyse the genomic architecture of CD138+ cells isolated from bone-marrow aspirates from an unselected cohort of newly diagnosed patients with EMM (n = 4) and intramedullary MM (n = 7). Large intrachromosomal rearrangements (> 5 Mbp) within chromosome 1 were detected in all EMM samples. These rearrangements, predominantly deletions with/without inversions, encompassed hundreds of genes and led to changes in the gene copy number on large regions of chromosome 1. Compared with intramedullary MM, EMM was characterised by more deletions (size range of 500 bp-50 kbp) and fewer interchromosomal translocations, and two EMM samples had copy number loss in the 17p13 region. Widespread genomic heterogeneity and novel aberrations in the high-risk IGH/IGK/IGL, 8q24 and 13q14 regions were detected in individual patients but were not specific to EMM/MM. Our pilot study revealed an association of chromosome 1 abnormalities in bone marrow myeloma cells with extramedullary progression. Optical mapping showed the potential for refining the complex genomic architecture in MM and its phenotypes.

• MeSH
• buňky kostní dřeně patologie   MeSH
• celogenomová asociační studie metody   MeSH
• chromozomální aberace * MeSH
• cytogenetické vyšetření metody   MeSH
• kohortové studie MeSH
• kostní dřeň diagnostické zobrazování   metabolismus   patologie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• lidské chromozomy, pár 1 * genetika   MeSH
• mnohočetný myelom genetika   patologie   MeSH
• pilotní projekty MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH

In 36 patients with different haematological diseases the authors examined by immunoscintigraphy the bone marrow using the 99mTc preparation Scintimun Granulozyt of Behring Co. They studied the distribution of haematopoietic tissue order to detect deviations from normal, focal defects, elongation of haematopoiesis into the periphery of long bones or extramedullary haematopoiesis. Distribution of haematopoietic tissue was evaluated visually and semiquantitatively.

• MeSH
• hematopoéza MeSH
• kostní dřeň diagnostické zobrazování   MeSH
• krevní nemoci diagnostické zobrazování   MeSH
• lidé středního věku MeSH
• lidé MeSH
• organotechneciové sloučeniny MeSH
• radioimunodetekce * MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• organotechneciové sloučeniny MeSH

Bone marrow necrosis (BMN) is a necrosis of the hemopoietic tissue including the fibrovascular medullary stroma. Most frequently, it is caused by failure of bone marrow microcirculation. It is a complication in a wide spectrum of diseases, most frequently of malignancies, and is only rarely diagnosed ante mortem. In 6 of our 7 intravitally diagnosed cases, BMN was recognized already at the cytological examination of the bone marrow and was verified by the histological examination of the biopsy specimens as well as at necropsy. All our patients suffered from various malignant diseases. Three had generalized gastric carcinoma, the remaining hematological neoplasias: Acute lymphoblastic leukemia, acute monocytic leukemia, blastic transformation of chronic granulomegakaryocytic myelosis and primary medullary centrocytic lymphoma. The survival varied from 4 to 14 weeks after the BMN diagnosis. Clinical, hematological and autopsy findings as well as the etiopathogenetic views and prognostic implications of the diagnosis are discussed.

• MeSH
• anemie komplikace   MeSH
• biopsie MeSH
• bolest komplikace   MeSH
• dospělí MeSH
• kostní dřeň diagnostické zobrazování   patologie   MeSH
• krevní obraz MeSH
• lidé středního věku MeSH
• lidé MeSH
• nádory komplikace   diagnostické zobrazování   patologie   MeSH
• nekróza MeSH
• nemoci kostní dřeně komplikace   mortalita   MeSH
• pitva MeSH
• prognóza MeSH
• radioisotopová scintigrafie MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

• MeSH
• kostní dřeň diagnostické zobrazování   MeSH
• lidé MeSH
• primární myelofibróza diagnostické zobrazování   MeSH
• radioisotopová scintigrafie MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

• MeSH
• koloidní síra značená 99mTc MeSH
• kostní dřeň diagnostické zobrazování   MeSH
• krevní nemoci diagnostické zobrazování   MeSH
• lidé MeSH
• mononukleární fagocytární systém diagnostické zobrazování   MeSH
• plíce diagnostické zobrazování   MeSH
• radioisotopová scintigrafie MeSH
• síra MeSH
• technecium MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• koloidní síra značená 99mTc MeSH
• síra MeSH
• technecium MeSH