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  1. Article ; Online: Bone Marrow Biopsies: Is CT, Fluoroscopy, or no Imaging Guidance the Most Cost-Effective Strategy?

    Gyftopoulos, Soterios / Cardoso, Madalena Da Silva / Wu, Jim S / Subhas, Naveen / Chang, Connie Y

    Academic radiology

    2024  

    Abstract: Rationale and objectives: To determine the most cost-effective strategy for pelvic bone marrow biopsies.: Materials and methods: A decision analytic model from the health care system perspective for patients with high clinical concern for multiple ... ...

    Abstract Rationale and objectives: To determine the most cost-effective strategy for pelvic bone marrow biopsies.
    Materials and methods: A decision analytic model from the health care system perspective for patients with high clinical concern for multiple myeloma (MM) was used to evaluate the incremental cost-effectiveness of three bone marrow core biopsy techniques: computed tomography (CT) guided, and fluoroscopy guided, no-imaging (landmark-based). Model input data on utilities, costs, and probabilities were obtained from comprehensive literature review and expert opinion. Costs were estimated in 2023 U.S. dollars. Primary effectiveness outcome was quality adjusted life years (QALY). Willingness to pay threshold was $100,000 per QALY gained.
    Results: No-imaging based biopsy was the most cost-effective strategy as it had the highest net monetary benefit ($4218) and lowest overall cost ($92.17). Fluoroscopy guided was excluded secondary to extended dominance. CT guided biopsies were less preferred as it had an incremental cost-effectiveness ratio ($334,043) greater than the willingness to pay threshold. Probabilistic sensitivity analysis found non-imaging based biopsy to be the most cost-effective in 100% of simulations and at all willingness to pay thresholds up to $200,000.
    Conclusion: No-imaging based biopsy appears to be the most cost-effective strategy for bone marrow core biopsy in patients suspected of MM.
    Clinical relevance: No imaging guidance is the preferred strategy, although image-guidance may be required for challenging anatomy. CT image interpretation may be helpful for planning biopsies. Establishing a non-imaging guided biopsy service with greater patient anxiety and pain support may be warranted.
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2024.01.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Utility of MRI for Patients 45 Years Old and Older With Hip or Knee Pain: A Systematic Review.

    Alaia, Erin F / Samim, Mohammad / Khodarahmi, Iman / Zech, John R / Spath, Alexandra R / Cardoso, Madalena Da Silva / Gyftopoulos, Soterios

    AJR. American journal of roentgenology

    2024  

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-04-03
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.24.30958
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Postoperative Imaging of the Rotator Cuff: A Systematic Review and Meta-Analysis.

    Gyftopoulos, Soterios / Cardoso, Madalena Da Silva / Rodrigues, Tatiane Cantarelli / Qian, Kun / Chang, Connie Y

    AJR. American journal of roentgenology

    2022  Volume 219, Issue 5, Page(s) 717–723

    Abstract: BACKGROUND. ...

    Abstract BACKGROUND.
    MeSH term(s) Humans ; Rotator Cuff/diagnostic imaging ; Rotator Cuff/surgery ; Rotator Cuff Injuries/diagnostic imaging ; Rotator Cuff Injuries/surgery ; Arthrography ; Ultrasonography ; Magnetic Resonance Imaging ; Arthroscopy ; Treatment Outcome
    Language English
    Publishing date 2022-06-01
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article ; Review
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.22.27847
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Optimal spindle detection parameters for predicting cognitive performance.

    Adra, Noor / Sun, Haoqi / Ganglberger, Wolfgang / Ye, Elissa M / Dümmer, Lisa W / Tesh, Ryan A / Westmeijer, Mike / Cardoso, Madalena Da Silva / Kitchener, Erin / Ouyang, An / Salinas, Joel / Rosand, Jonathan / Cash, Sydney S / Thomas, Robert J / Westover, M Brandon

    Sleep

    2021  Volume 45, Issue 4

    Abstract: Study objectives: Alterations in sleep spindles have been linked to cognitive impairment. This finding has contributed to a growing interest in identifying sleep-based biomarkers of cognition and neurodegeneration, including sleep spindles. However, ... ...

    Abstract Study objectives: Alterations in sleep spindles have been linked to cognitive impairment. This finding has contributed to a growing interest in identifying sleep-based biomarkers of cognition and neurodegeneration, including sleep spindles. However, flexibility surrounding spindle definitions and algorithm parameter settings present a methodological challenge. The aim of this study was to characterize how spindle detection parameter settings influence the association between spindle features and cognition and to identify parameters with the strongest association with cognition.
    Methods: Adult patients (n = 167, 49 ± 18 years) completed the NIH Toolbox Cognition Battery after undergoing overnight diagnostic polysomnography recordings for suspected sleep disorders. We explored 1000 combinations across seven parameters in Luna, an open-source spindle detector, and used four features of detected spindles (amplitude, density, duration, and peak frequency) to fit linear multiple regression models to predict cognitive scores.
    Results: Spindle features (amplitude, density, duration, and mean frequency) were associated with the ability to predict raw fluid cognition scores (r = 0.503) and age-adjusted fluid cognition scores (r = 0.315) with the best spindle parameters. Fast spindle features generally showed better performance relative to slow spindle features. Spindle features weakly predicted total cognition and poorly predicted crystallized cognition regardless of parameter settings.
    Conclusions: Our exploration of spindle detection parameters identified optimal parameters for studies of fluid cognition and revealed the role of parameter interactions for both slow and fast spindles. Our findings support sleep spindles as a sleep-based biomarker of fluid cognition.
    MeSH term(s) Adult ; Cognition ; Electroencephalography ; Humans ; Polysomnography ; Sleep ; Sleep Stages ; Sleep Wake Disorders
    Language English
    Publishing date 2021-11-28
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 424441-2
    ISSN 1550-9109 ; 0161-8105
    ISSN (online) 1550-9109
    ISSN 0161-8105
    DOI 10.1093/sleep/zsac001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation

    Ganglberger, Wolfgang / Bucklin, Abigail A. / Tesh, Ryan A. / Cardoso, Madalena Da Silva / Sun, Haoqi / Leone, Michael J. / Paixao, Luis / Panneerselvam, Ezhil / Ye, Elissa M. / Thompson, B. Taylor / Akeju, Oluwaseun / Kuller, David / Thomas, Robert J. / Westover, M. Brandon

    2021  

    Abstract: Objective: Sleep related respiratory abnormalities are typically detected using polysomnography. There is a need in general medicine and critical care for a more convenient method to automatically detect sleep apnea from a simple, easy-to-wear device. ... ...

    Abstract Objective: Sleep related respiratory abnormalities are typically detected using polysomnography. There is a need in general medicine and critical care for a more convenient method to automatically detect sleep apnea from a simple, easy-to-wear device. The objective is to automatically detect abnormal respiration and estimate the Apnea-Hypopnea-Index (AHI) with a wearable respiratory device, compared to an SpO2 signal or polysomnography using a large (n = 412) dataset serving as ground truth. Methods: Simultaneously recorded polysomnographic (PSG) and wearable respiratory effort data were used to train and evaluate models in a cross-validation fashion. Time domain and complexity features were extracted, important features were identified, and a random forest model employed to detect events and predict AHI. Four models were trained: one each using the respiratory features only, a feature from the SpO2 (%)-signal only, and two additional models that use the respiratory features and the SpO2 (%)-feature, one allowing a time lag of 30 seconds between the two signals. Results: Event-based classification resulted in areas under the receiver operating characteristic curves of 0.94, 0.86, 0.82, and areas under the precision-recall curves of 0.48, 0.32, 0.51 for the models using respiration and SpO2, respiration-only, and SpO2-only respectively. Correlation between expert-labelled and predicted AHI was 0.96, 0.78, and 0.93, respectively. Conclusions: A wearable respiratory effort signal with or without SpO2 predicted AHI accurately. Given the large dataset and rigorous testing design, we expect our models are generalizable to evaluating respiration in a variety of environments, such as at home and in critical care.

    Comment: Co-First Authors: Wolfgang Ganglberger, Abigail A. Bucklin Co-Senior Authors: Robert J. Thomas, M. Brandon Westover
    Keywords Electrical Engineering and Systems Science - Signal Processing ; Computer Science - Machine Learning
    Subject code 621
    Publishing date 2021-02-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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