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  1. Article ; Online: Invited Commentary: MRI Clear Cell Likelihood Score for Indeterminate Solid Renal Masses: Is There a Path for Broad Clinical Adoption?

    Pedrosa, Ivan

    Radiographics : a review publication of the Radiological Society of North America, Inc

    2023  Volume 43, Issue 7, Page(s) e230042

    MeSH term(s) Humans ; Magnetic Resonance Imaging ; Kidney Neoplasms/diagnostic imaging ; Carcinoma, Renal Cell/diagnostic imaging ; Retrospective Studies
    Language English
    Publishing date 2023-06-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603172-9
    ISSN 1527-1323 ; 0271-5333
    ISSN (online) 1527-1323
    ISSN 0271-5333
    DOI 10.1148/rg.230042
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  2. Article ; Online: Post-cure Heat Treatments Influence the Mechanical and Optical Properties of Acrylic and Bis-acryl Composite Resins.

    Morgado, L B / Pedrosa, M S / Medeiros, I S

    Operative dentistry

    2024  Volume 49, Issue 1, Page(s) 76–83

    Abstract: Objective: To evaluate the influence of post-cure heat treatments (PCHT) on Knoop microhardness (KHN) and color change of bis-acryl composite resin (Protemp 4 - 3M ESPE, USA and PrimmaArt - FGM, Brazil) and chemically activated acrylic resins (Dencôr - ... ...

    Abstract Objective: To evaluate the influence of post-cure heat treatments (PCHT) on Knoop microhardness (KHN) and color change of bis-acryl composite resin (Protemp 4 - 3M ESPE, USA and PrimmaArt - FGM, Brazil) and chemically activated acrylic resins (Dencôr - Clássico, Brazil, and Duralay - Cotia, Brazil).
    Methods and materials: Specimens (12×1 mm) were prepared for each material (n=10/group). Thirty minutes after curing, the specimens were subjected to PCHT for 10 minutes at 70°, 100°, or 130°C. The control group was kept at room temperature (24°C) for the same amount of time. KHN was analyzed 24 hours after PCHT (n=10). Following Commission Internationale de l'Éclairage (CIE) Delta E 2000 (CIEDE2000 [ΔE00]), color measurements were obtained at three time points: 1. after polymerization; 2. after PCHT; and 3. after 30 days of storage in water, coffee, or red wine. Data for each material were analyzed by one-way analysis of variance (ANOVA) (p<0.05).
    Results: The PCHT at 130°C produced the highest KHN values. Except for the 70°C groups from Dencôr and Protemp, all PCHTs increased the initial color values (p>0.05). In general, chemically activated acrylic resins showed an increase in color stability when subjected to PCHT (p>0.05). For bis-acryl composite resin, PCHT did not influence color stability (p<0.05).
    Conclusion: Overall, the results showed that PCHT increased the tested materials' color changes and Knoop microhardness. However, except for PCHT at 130°C in Duralay, the color changes remained within acceptable values. The PCHT treatment resulted in better color stability for most of the composite resins studied.
    MeSH term(s) Hot Temperature ; Composite Resins/therapeutic use ; Composite Resins/chemistry ; Acrylic Resins/chemistry ; Polymethyl Methacrylate/chemistry
    Chemical Substances Duralay (60675-61-8) ; AT 130 ; Composite Resins ; Acrylic Resins ; Polymethyl Methacrylate (9011-14-7)
    Language English
    Publishing date 2024-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 752995-8
    ISSN 1559-2863 ; 0361-7734
    ISSN (online) 1559-2863
    ISSN 0361-7734
    DOI 10.2341/23-011-L
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Artificial Intelligence, Big Data and Beyond… Are We Really Being Replaced?

    Pedrosa, Iván

    Radiologia

    2018  Volume 60, Issue 5, Page(s) 359–361

    Title translation Inteligencia artificial, big data y más allá… ¿Es cierto que estamos siendo reemplazados?
    MeSH term(s) Artificial Intelligence ; Big Data ; Forecasting ; Humans ; Radiology/trends
    Language Spanish
    Publishing date 2018-07-27
    Publishing country Spain
    Document type Editorial
    ISSN 2173-5107
    ISSN (online) 2173-5107
    DOI 10.1016/j.rx.2018.07.001
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  4. Article ; Online: How We Do It: Managing the Indeterminate Renal Mass with the MRI Clear Cell Likelihood Score.

    Pedrosa, Ivan / Cadeddu, Jeffrey A

    Radiology

    2021  Volume 302, Issue 2, Page(s) 256–269

    Abstract: The widespread use of cross-sectional imaging has led to a continuous increase in the number of incidentally detected indeterminate renal masses. Frequently, these clinical scenarios involve an older patient with comorbidities and a small renal mass (≤4 ... ...

    Abstract The widespread use of cross-sectional imaging has led to a continuous increase in the number of incidentally detected indeterminate renal masses. Frequently, these clinical scenarios involve an older patient with comorbidities and a small renal mass (≤4 cm). Despite aggressive treatment in early stages of the disease, a clear positive effect in reducing kidney cancer-specific mortality is lacking, indicating that many renal cancers exhibit an indolent oncologic behavior. Furthermore, in general, one in five small renal masses is histologically benign and may not benefit from aggressive treatment. Although active surveillance is increasingly recognized as a management option for some patients, the absence of reliable clinical and imaging predictive biologic markers of aggressiveness can contribute to patient anxiety and limit its use in clinical practice. A standardized approach to the image interpretation of solid renal masses has not been broadly implemented. The clear cell likelihood score (ccLS) derived from multiparametric MRI is useful in noninvasively identifying the clear cell subtype, the most common and aggressive form of kidney cancer. Herein, a review of the ccLS is presented, including a step-by-step guide for image interpretation and additional guidance for its implementation in clinical practice.
    MeSH term(s) Algorithms ; Biopsy ; Carcinoma, Renal Cell/diagnostic imaging ; Carcinoma, Renal Cell/pathology ; Decision Making ; Humans ; Kidney Neoplasms/diagnostic imaging ; Kidney Neoplasms/pathology ; Magnetic Resonance Imaging ; Predictive Value of Tests
    Language English
    Publishing date 2021-12-14
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Review
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.210034
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Integrated care process in type 1 diabetes mellitus in children and adolescents: A quality improvement initiative.

    Pedrosa, I / Cardoso, F / Martins, V / Gama, E

    Journal of healthcare quality research

    2022  Volume 38, Issue 4, Page(s) 245–249

    MeSH term(s) Humans ; Adolescent ; Child ; Diabetes Mellitus, Type 1/therapy ; Quality Improvement ; Delivery of Health Care, Integrated
    Language English
    Publishing date 2022-10-28
    Publishing country Spain
    Document type Journal Article
    ISSN 2603-6479
    ISSN (online) 2603-6479
    DOI 10.1016/j.jhqr.2022.09.005
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  6. Article: Intention to Purchase Eco-Friendly Handcrafted Fashion Products for Gifting and Personal Use: A Comparison of National and Foreign Consumers.

    Saepudin, Dindin / Shojaei, Alireza Shabani / Barbosa, Belem / Pedrosa, Isabel

    Behavioral sciences (Basel, Switzerland)

    2023  Volume 13, Issue 2

    Abstract: This study aims to examine consumer intention to purchase eco-friendly, handcrafted fashion products made from upcycled clothing and traditional Indonesian batik fabric. Data were collected via an online questionnaire with 289 participants, including ... ...

    Abstract This study aims to examine consumer intention to purchase eco-friendly, handcrafted fashion products made from upcycled clothing and traditional Indonesian batik fabric. Data were collected via an online questionnaire with 289 participants, including both Indonesian and non-Indonesian consumers. The hypotheses were tested using structural equation modeling in SmartPLS 3. The results showed that fashion motivation and perceived value positively impacted the intention to purchase this type of product for personal use and for gifting. The perceived price had a positive effect on purchase intention for gifting. Altruistic motivations affected attitudes but not purchase intentions. Differences were identified between national and foreign consumers regarding the impact of price perception on attitudes and personal purchase intentions. The study provides practical implications for small businesses, artisan crafts, and entrepreneurs.
    Language English
    Publishing date 2023-02-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651997-5
    ISSN 2076-328X
    ISSN 2076-328X
    DOI 10.3390/bs13020171
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  7. Article ; Online: Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network.

    Guo, Junyu / Odu, Ayobami / Pedrosa, Ivan

    PloS one

    2022  Volume 17, Issue 5, Page(s) e0267753

    Abstract: Background: Deep learning segmentation requires large datasets with ground truth. Image annotation is time consuming and leads to shortages of ground truth data for clinical imaging. This study is to investigate the feasibility of kidney segmentation ... ...

    Abstract Background: Deep learning segmentation requires large datasets with ground truth. Image annotation is time consuming and leads to shortages of ground truth data for clinical imaging. This study is to investigate the feasibility of kidney segmentation using deep learning convolution neural network (CNN) models trained with MR images from only a few subjects.
    Methods: A total of 60 subjects from two cohorts were included in this study. The first cohort of 20 subjects from publicly available data was used for training and testing. The second cohort of 40 subjects with renal masses from our institution was used for testing only. A few-shot deep learning approach using 3D augmentation was investigated. T1-weighted images in the first cohort were used for training and testing. Cascaded CNN networks were trained using images from one, three, and six subjects, respectively. Images for the remaining subjects were used for testing. Images in the second cohort were utilized for testing only. Dice and Jaccard coefficients were generated to evaluate the performance of CNN models. Statistical analyses for segmentation metrics among different approaches were performed.
    Results: Our approach achieved mean Dice coefficients of 0.85 using a single training subject and 0.91 with six training subjects. Compared to a single Unet, the cascaded network significantly improved the results using a single training subject (Dice, 0.759 vs. 0.835; p<0.001) and three subjects (0.864 vs. 0.893; p = 0.015) in the first cohort, and the results for the second cohort (0.821 vs. 0.873; p = 0.008).
    Conclusion: Our few-shot kidney segmentation approach using 3D augmentation achieved a good performance even using a single Unet. Furthermore, the cascaded network significantly improved the performance of segmentation and was superior to a single Unet in certain cases. Our approach provides a promising solution to segmentation in medical imaging when the number of ground truth masks is limited.
    MeSH term(s) Deep Learning ; Humans ; Image Processing, Computer-Assisted ; Kidney/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Neural Networks, Computer
    Language English
    Publishing date 2022-05-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0267753
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  8. Article: Deep Learning-based Deformable Registration of Dynamic Contrast-Enhanced MR Images of the Kidney.

    Huang, James / Guo, Junyu / Pedrosa, Ivan / Fei, Baowei

    Proceedings of SPIE--the International Society for Optical Engineering

    2022  Volume 12034

    Abstract: Respiratory motion is a major contributor to bias in quantitative analysis of magnetic resonance imaging (MRI) acquisitions. Deformable registration of three-dimensional (3D) dynamic contrast-enhanced (DCE) MRI data improves estimation of kidney kinetic ... ...

    Abstract Respiratory motion is a major contributor to bias in quantitative analysis of magnetic resonance imaging (MRI) acquisitions. Deformable registration of three-dimensional (3D) dynamic contrast-enhanced (DCE) MRI data improves estimation of kidney kinetic parameters. In this study, we proposed a deep learning approach with two steps: a convolutional neural network (CNN) based affine registration network, followed by a U-Net trained for deformable registration between two MR images. The proposed registration method was applied successively across consecutive dynamic phases of the 3D DCE-MRI dataset to reduce motion effects in the different kidney compartments (
    Language English
    Publishing date 2022-04-04
    Publishing country United States
    Document type Journal Article
    ISSN 0277-786X
    ISSN 0277-786X
    DOI 10.1117/12.2611768
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Editorial for "Luminal Water Imaging: Comparison With Diffusion-Weighted Imaging (DWI) and PI-RADS for Characterization of Prostate Cancer Aggressiveness".

    Yuan, Qing / Pedrosa, Ivan

    Journal of magnetic resonance imaging : JMRI

    2020  Volume 52, Issue 1, Page(s) 280–281

    MeSH term(s) Diffusion Magnetic Resonance Imaging ; Humans ; Magnetic Resonance Imaging ; Male ; Prostatic Neoplasms ; Water
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2020-03-29
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1146614-5
    ISSN 1522-2586 ; 1053-1807
    ISSN (online) 1522-2586
    ISSN 1053-1807
    DOI 10.1002/jmri.27152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 236: Show issues

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  10. Article: Analyzing the Organoleptic Quality of Commercial Extra Virgin Olive Oils: IOC Recognized Panel Tests vs. Electronic Nose.

    Chacón, Irene / Roales, Javier / Lopes-Costa, Tânia / Pedrosa, José M

    Foods (Basel, Switzerland)

    2022  Volume 11, Issue 10

    Abstract: Virgin olive oil (VOO) classification into quality categories determines its labeling and market price. This procedure involves performing a series of chemical-physical analyses and, ultimately, a sensory analysis through the panel test. This work ... ...

    Abstract Virgin olive oil (VOO) classification into quality categories determines its labeling and market price. This procedure involves performing a series of chemical-physical analyses and, ultimately, a sensory analysis through the panel test. This work explores the analysis of VOOs quality with an electronic olfactory system (EOS) and examines its abilities using the panel test as a reference. To do this, six commercial olive oils labelled as extra virgin were analyzed with an EOS and classified by three panels recognized by the International Olive Council. The organoleptic analysis of the oils by the panels indicated that most of the oils in the study were in fact not extra virgin. Besides this, the classifications showed inconsistencies between panels, needing statistical treatment to be used as a reference for the EOS training. The analysis of the same oils by the EOS and their subsequent statistical analysis by PCA revealed a good correlation between the first principal component and the olive oil quality from the panels using average scores. It also showed a more consistent classification than the panels. Overall, the EOS proved to be a cheaper, faster, and highly reliable method as a complement to the panel test for the olive oil classification.
    Language English
    Publishing date 2022-05-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods11101477
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