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  1. Article ; Online: Editorial Comment: MRA May Finally Be Ready to Become a First-Line Imaging Modality for Assessment of Pulmonary Embolism.

    Roshkovan, Leonid

    AJR. American journal of roentgenology

    2023  Volume 221, Issue 6, Page(s) 747

    MeSH term(s) Humans ; Contrast Media ; Pulmonary Embolism/diagnostic imaging ; Magnetic Resonance Angiography/methods
    Chemical Substances Contrast Media
    Language English
    Publishing date 2023-06-28
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.23.29823
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.57: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: State of the art: radiomics and radiomics-related artificial intelligence on the road to clinical translation.

    Majumder, Shweta / Katz, Sharyn / Kontos, Despina / Roshkovan, Leonid

    BJR open

    2023  Volume 6, Issue 1, Page(s) tzad004

    Abstract: Radiomics and artificial intelligence carry the promise of increased precision in oncologic imaging assessments due to the ability of harnessing thousands of occult digital imaging features embedded in conventional medical imaging data. While powerful, ... ...

    Abstract Radiomics and artificial intelligence carry the promise of increased precision in oncologic imaging assessments due to the ability of harnessing thousands of occult digital imaging features embedded in conventional medical imaging data. While powerful, these technologies suffer from a number of sources of variability that currently impede clinical translation. In order to overcome this impediment, there is a need to control for these sources of variability through harmonization of imaging data acquisition across institutions, construction of standardized imaging protocols that maximize the acquisition of these features, harmonization of post-processing techniques, and big data resources to properly power studies for hypothesis testing. For this to be accomplished, it will be critical to have multidisciplinary and multi-institutional collaboration.
    Language English
    Publishing date 2023-12-12
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2513-9878
    ISSN (online) 2513-9878
    DOI 10.1093/bjro/tzad004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Are radiomic signatures ready for incorporation in the clinical pipeline?

    Singh, Apurva / Roshkovan, Leonid / Thompson, Jeffrey C / Kontos, Despina / Katz, Sharyn I

    Translational lung cancer research

    2023  Volume 12, Issue 9, Page(s) 1845–1849

    Language English
    Publishing date 2023-09-19
    Publishing country China
    Document type Editorial ; Comment
    ZDB-ID 2754335-3
    ISSN 2226-4477 ; 2218-6751
    ISSN (online) 2226-4477
    ISSN 2218-6751
    DOI 10.21037/tlcr-23-502
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Radiomics: A Path Forward to Predict Immunotherapy Response in Non-Small Cell Lung Cancer.

    Yousefi, Bardia / Katz, Sharyn I / Roshkovan, Leonid

    Radiology. Artificial intelligence

    2020  Volume 2, Issue 5, Page(s) e200075

    Language English
    Publishing date 2020-09-30
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2638-6100
    ISSN (online) 2638-6100
    DOI 10.1148/ryai.2020200075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Multimodality imaging of Surgicel

    Roshkovan, Leonid / Singhal, Sunil / Katz, Sharyn I / Galperin-Aizenberg, Maya

    BJR open

    2021  Volume 3, Issue 1, Page(s) 20210031

    Abstract: Absorbable hemostatic agents such as Surgicel are hemostatic materials composed of an oxidized cellulose polymer used to control post-surgical bleeding and cause coagulation. This material is sometimes purposefully ... ...

    Abstract Absorbable hemostatic agents such as Surgicel are hemostatic materials composed of an oxidized cellulose polymer used to control post-surgical bleeding and cause coagulation. This material is sometimes purposefully left
    Language English
    Publishing date 2021-11-24
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2513-9878
    ISSN (online) 2513-9878
    DOI 10.1259/bjro.20210031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: State-of-the-Art Imaging for the Evaluation of Pulmonary Embolism.

    Roshkovan, Leonid / Litt, Harold

    Current treatment options in cardiovascular medicine

    2018  Volume 20, Issue 9, Page(s) 71

    Abstract: Purpose of review: CT angiography has become the gold standard for evaluation of suspected pulmonary embolism; however, continuous evolution in radiology has led to new imaging approaches that offer improved options for detection and characterization of ...

    Abstract Purpose of review: CT angiography has become the gold standard for evaluation of suspected pulmonary embolism; however, continuous evolution in radiology has led to new imaging approaches that offer improved options for detection and characterization of pulmonary embolism while exposing patients to lower contrast and radiation dose. The purpose of this review is to summarize state of the art imaging approaches for the evaluation of pulmonary embolism, focusing on technical innovations in this field.
    Recent findings: The introduction of dual-energy CT has resulted in the ability to add functional and prognostic information beyond the morphologic assessment of the pulmonary arteries and potentially offer improved image quality without additional radiation burden. New approaches and strategies in CT scanning have resulted in decreased radiation exposure as well as a significant decrease in contrast material used without decreasing the sensitivity for detection of pulmonary embolism. Continuous developments and improvements in MR angiography techniques offer a valuable and efficient option for certain patient populations without the risk of radiation exposure. Improvements in the technical success rate and reliability of this modality will mean more widespread use in the future. Moving beyond planar ventilation/perfusion (V/Q) scintigraphy, nuclear imaging offers several new approaches, including the use of single photon emission computed tomography (SPECT) and SPECT/CT resulting in superior diagnostic performance and a decrease in nondiagnostic studies, potentially surpassing the diagnostic capabilities of computed tomography pulmonary angiography. Ongoing research in the use of V/Q PET/CT demonstrates superior temporal and spatial resolution and quantitative capabilities compared to SPECT-CT; this modality will likely play an increasing role in the detection and characterization of pulmonary embolism. The field of pulmonary embolism imaging has demonstrated continuous evolution in both development of novel techniques and improvement in current technologies, resulting in better detection, decreased radiation exposure, and enhanced functional information beyond morphologic characterization of the pulmonary vasculature.
    Language English
    Publishing date 2018-08-07
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2057337-6
    ISSN 1534-3189 ; 1092-8464
    ISSN (online) 1534-3189
    ISSN 1092-8464
    DOI 10.1007/s11936-018-0671-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5529: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article: PixelPrint: A collection of three-dimensional printed CT phantoms of different respiratory diseases.

    Mei, Kai / Roshkovan, Leonid / Pasyar, Pouyan / Shapira, Nadav / Gang, Grace J / Stayman, J Webster / Geagan, Michael / Noël, Peter B

    Proceedings of SPIE--the International Society for Optical Engineering

    2023  Volume 12463

    Abstract: Imaging is often a first-line method for diagnostics and treatment. Radiological workflows increasingly mine medical images for quantifiable features. Variability in device/vendor, acquisition protocol, data processing, etc., can dramatically affect ... ...

    Abstract Imaging is often a first-line method for diagnostics and treatment. Radiological workflows increasingly mine medical images for quantifiable features. Variability in device/vendor, acquisition protocol, data processing, etc., can dramatically affect quantitative measures, including radiomics. We recently developed a method (PixelPrint) for 3D-printing lifelike computed tomography (CT) lung phantoms, paving the way for future diagnostic imaging standardization. PixelPrint generates phantoms with accurate attenuation profiles and textures by directly translating clinical images into printer instructions that control density on a voxel-by-voxel basis. The present study introduces a library of 3D printed lung phantoms covering a wide range of lung diseases, including usual interstitial pneumonia with advanced fibrosis, chronic hypersensitivity pneumonitis, secondary tuberculosis, cystic fibrosis, Kaposi sarcoma, and pulmonary edema. CT images of the patient-based phantom are qualitatively comparable to original CT images, both in texture, resolution and contrast levels allowing for clear visualization of even subtle imaging abnormalities. The variety of cases chosen for printing include both benign and malignant pathology causing a variety of alveolar and advanced interstitial abnormalities, both clearly visualized on the phantoms. A comparison of regions of interest revealed differences in attenuation below 6 HU. Identical features on the patient and the phantom have a high degree of geometrical correlation, with differences smaller than the intrinsic spatial resolution of the scans. Using PixelPrint, it is possible to generate CT phantoms that accurately represent different pulmonary diseases and their characteristic imaging features.
    Language English
    Publishing date 2023-04-07
    Publishing country United States
    Document type Journal Article
    ISSN 0277-786X
    ISSN 0277-786X
    DOI 10.1117/12.2654343
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Patient-derived PixelPrint phantoms for evaluating clinical imaging performance of a deep learning CT reconstruction algorithm.

    Im, Jessica Yunyun / Halliburton, Sandra / Mei, Kai / Perkins, Amy E / Wong, Eddy / Roshkovan, Leonid / Sandvold, Olivia F / Liu, Leening P / Gang, Grace J / Noël, Peter B

    Physics in medicine and biology

    2024  

    Abstract: Objective Deep learning reconstruction (DLR) algorithms exhibit object-dependent resolution and noise performance. Thus, traditional geometric CT phantoms cannot fully capture the clinical imaging performance of DLR. This study uses a patient-derived 3D- ... ...

    Abstract Objective Deep learning reconstruction (DLR) algorithms exhibit object-dependent resolution and noise performance. Thus, traditional geometric CT phantoms cannot fully capture the clinical imaging performance of DLR. This study uses a patient-derived 3D-printed PixelPrint lung phantom to evaluate a commercial DLR algorithm across a wide range of radiation dose levels. Method The lung phantom used in this study is based on a patient chest CT scan containing ground glass opacities and was fabricated using PixelPrint 3D-printing technology. The phantom was placed inside two different size extension rings to mimic a small- and medium-sized patient and was scanned on a conventional CT scanner at exposures between 0.5 and 20 mGy. Each scan was reconstructed using filtered back projection (FBP), iterative reconstruction, and DLR at five levels of denoising. Image noise, contrast to noise ratio (CNR), root mean squared error (RMSE), structural similarity index (SSIM), and multi-scale SSIM (MS SSIM) were calculated for each image. Results DLR demonstrated superior performance compared to FBP and iterative reconstruction for all measured metrics in both phantom sizes, with better performance for more aggressive denoising levels. DLR was estimated to reduce dose by 25-83% in the small phantom and by 50-83% in the medium phantom without decreasing image quality for any of the metrics measured in this study. These dose reduction estimates are more conservative compared to the estimates obtained when only considering noise and CNR. Conclusion DLR has the capability of producing diagnostic image quality at up to 83% lower radiation dose, which can improve the clinical utility and viability of lower dose CT scans. Furthermore, the PixelPrint phantom used in this study offers an improved testing environment with more realistic tissue structures compared to traditional CT phantoms, allowing for structure-based image quality evaluation beyond noise and contrast-based assessments.
    Language English
    Publishing date 2024-04-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ad3dba
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 199: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: CT Features of Lymphatic Plastic Bronchitis in Adults: Correlation with Multimodality Lymphatic Imaging.

    O'Leary, Cathal / Itkin, Maxim / Roshkovan, Leonid / Katz, Sharyn / Cao, Quy / Hershman, Michelle / Galperin-Aizenberg, Maya

    Radiology. Cardiothoracic imaging

    2022  Volume 4, Issue 2, Page(s) e210048

    Abstract: Purpose: To distinguish CT patterns of lymphatic and nonlymphatic causes of plastic bronchitis (PB) through comparison with lymphatic imaging.: Materials and methods: In this retrospective study, chest CT images acquired prior to lymphatic workup ... ...

    Abstract Purpose: To distinguish CT patterns of lymphatic and nonlymphatic causes of plastic bronchitis (PB) through comparison with lymphatic imaging.
    Materials and methods: In this retrospective study, chest CT images acquired prior to lymphatic workup were assessed in 44 patients with PB from January 2014 to August 2020. The location and extent of ground-glass opacity (GGO) was compared with symptoms and lymphatic imaging. Statistical analysis was performed using descriptive statistics, logistic regression, Pearson correlation coefficient, and unweighted κ coefficient for interobserver agreement. Sensitivity and specificity of GGO for lymphatic PB were calculated.
    Results: Lymphatic imaging was performed in 44 patients (median age, 52 years ± 21 [IQR]; 23 women): 35 with lymphatic PB and nine with nonlymphatic PB. GGO was more frequently observed in patients with lymphatic PB than in those with nonlymphatic PB (91% [32 of 35] vs 33% [three of nine];
    Conclusion: Patients with lymphatic PB predominantly had multifocal GGO with or without a "crazy paving" pattern; identification of GGO should prompt lymphatic workup in this frequently misdiagnosed condition.
    Language English
    Publishing date 2022-04-28
    Publishing country United States
    Document type Journal Article
    ISSN 2638-6135
    ISSN (online) 2638-6135
    DOI 10.1148/ryct.210048
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans.

    Singh, Apurva / Horng, Hannah / Chitalia, Rhea / Roshkovan, Leonid / Katz, Sharyn I / Noël, Peter / Shinohara, Russell T / Kontos, Despina

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 21505

    Abstract: Our study investigates the effects of heterogeneity in image parameters on the reproducibility of prognostic performance of models built using radiomic biomarkers. We compare the prognostic performance of models derived from the heterogeneity-mitigated ... ...

    Abstract Our study investigates the effects of heterogeneity in image parameters on the reproducibility of prognostic performance of models built using radiomic biomarkers. We compare the prognostic performance of models derived from the heterogeneity-mitigated features with that of models obtained from raw features, to assess whether reproducibility of prognostic scores improves upon application of our methods. We used two datasets: The Breast I-SPY1 dataset-Baseline DCE-MRI scans of 156 women with locally advanced breast cancer, treated with neoadjuvant chemotherapy, publicly available via The Cancer Imaging Archive (TCIA); The NSCLC IO dataset-Baseline CT scans of 107 patients with stage 4 non-small cell lung cancer (NSCLC), treated with pembrolizumab immunotherapy at our institution. Radiomic features (n = 102) are extracted from the tumor ROIs. We use a variety of resampling and harmonization scenarios to mitigate the heterogeneity in image parameters. The patients were divided into groups based on batch variables. For each group, the radiomic phenotypes are combined with the clinical covariates into a prognostic model. The performance of the groups is assessed using the c-statistic, derived from a Cox proportional hazards model fitted on all patients within a group. The heterogeneity-mitigation scenario (radiomic features, derived from images that have been resampled to minimum voxel spacing, are harmonized using the image acquisition parameters as batch variables) gave models with highest prognostic scores (for e.g., IO dataset; batch variable: high kernel resolution-c-score: 0.66). The prognostic performance of patient groups is not comparable in case of models built using non-heterogeneity mitigated features (for e.g., I-SPY1 dataset; batch variable: small pixel spacing-c-score: 0.54, large pixel spacing-c-score: 0.65). The prognostic performance of patient groups is closer in case of heterogeneity-mitigated scenarios (for e.g., scenario-harmonize by voxel spacing parameters: IO dataset; thin slice-c-score: 0.62, thick slice-c-score: 0.60). Our results indicate that accounting for heterogeneity in image parameters is important to obtain more reproducible prognostic scores, irrespective of image site or modality. For non-heterogeneity mitigated models, the prognostic scores are not comparable across patient groups divided based on batch variables. This study can be a step in the direction of constructing reproducible radiomic biomarkers, thus increasing their application in clinical decision making.
    MeSH term(s) Female ; Humans ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/pathology ; Reproducibility of Results ; Tomography, X-Ray Computed/methods ; Prognosis
    Language English
    Publishing date 2022-12-13
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-26083-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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