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  1. Article ; Online: Maintaining dosimetric quality when switching to a Monte Carlo dose engine for head and neck volumetric-modulated arc therapy planning.

    Feygelman, Vladimir / Latifi, Kujtim / Bowers, Mark / Greco, Kevin / Moros, Eduardo G / Isacson, Max / Angerud, Agnes / Caudell, Jimmy

    Journal of applied clinical medical physics

    2022  Volume 23, Issue 5, Page(s) e13572

    Abstract: ... of critical structures near the target(s) and highly heterogeneous tissue composition. While Monte Carlo (MC ...

    Abstract Head and neck cancers present challenges in radiation treatment planning due to the large number of critical structures near the target(s) and highly heterogeneous tissue composition. While Monte Carlo (MC) dose calculations currently offer the most accurate approximation of dose deposition in tissue, the switch to MC presents challenges in preserving the parameters of care. The differences in dose-to-tissue were widely discussed in the literature, but mostly in the context of recalculating the existing plans rather than reoptimizing with the MC dose engine. Also, the target dose homogeneity received less attention. We adhere to strict dose homogeneity objectives in clinical practice. In this study, we started with 21 clinical volumetric-modulated arc therapy (VMAT) plans previously developed in Pinnacle treatment planning system. Those plans were recalculated "as is" with RayStation (RS) MC algorithm and then reoptimized in RS with both collapsed cone (CC) and MC algorithms. MC statistical uncertainty (0.3%) was selected carefully to balance the dose computation time (1-2 min) with the planning target volume (PTV) dose-volume histogram (DVH) shape approaching that of a "noise-free" calculation. When the hot spot in head and neck MC-based treatment planning is defined as dose to 0.03 cc, it is exceedingly difficult to limit it to 105% of the prescription dose, as we were used to with the CC algorithm. The average hot spot after optimization and calculation with RS MC was statistically significantly higher compared to Pinnacle and RS CC algorithms by 1.2 and 1.0 %, respectively. The 95% confidence interval (CI) observed in this study suggests that in most cases a hot spot of ≤107% is achievable. Compared to the 95% CI for the previous clinical plans recalculated with RS MC "as is" (upper limit 108%), in real terms this result is at least as good or better than the historic plans.
    MeSH term(s) Algorithms ; Humans ; Monte Carlo Method ; Radiometry ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Intensity-Modulated
    Language English
    Publishing date 2022-02-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2010347-5
    ISSN 1526-9914 ; 1526-9914
    ISSN (online) 1526-9914
    ISSN 1526-9914
    DOI 10.1002/acm2.13572
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  2. Article ; Online: Radiobiological and dosimetric impact of RayStation pencil beam and Monte Carlo algorithms on intensity-modulated proton therapy breast cancer plans.

    Rana, Suresh / Greco, Kevin / Samuel, E James Jebaseelan / Bennouna, Jaafar

    Journal of applied clinical medical physics

    2019  Volume 20, Issue 8, Page(s) 36–46

    Abstract: Purpose: RayStation treatment planning system employs pencil beam (PB) and Monte Carlo (MC ...

    Abstract Purpose: RayStation treatment planning system employs pencil beam (PB) and Monte Carlo (MC) algorithms for proton dose calculations. The purpose of this study is to evaluate the radiobiological and dosimetric impact of RayStation PB and MC algorithms on the intensity-modulated proton therapy (IMPT) breast plans.
    Methods: The current study included ten breast cancer patients, and each patient was treated with 1-2 proton beams to the whole breast/chestwall (CW) and regional lymph nodes in 28 fractions for a total dose of 50.4 Gy relative biological effectiveness (RBE). A total clinical target volume (CTV_Total) was generated by combining individual CTVs: AxI, AxII, AxIII, CW, IMN, and SCVN. All beams in the study were treated with a range shifter (7.5 cm water equivalent thickness). For each patient, three sets of plans were generated: (a) PB optimization followed by PB dose calculation (PB-PB), (b) PB optimization followed by MC dose calculation (PB-MC), and (c) MC optimization followed by MC dose calculation (MC-MC). For a given patient, each plan was robustly optimized on the CTVs with same parameters and objectives. Treatment plans were evaluated using dosimetric and radiobiological indices (equivalent uniform dose (EUD), tumor control probability (TCP), and normal tissue complication probability (NTCP)).
    Results: The results are averaged over ten breast cancer patients. In comparison to PB-PB plans, PB-MC plans showed a reduction in CTV target dose by 5.3% for D
    Conclusion: If MC is more accurate than PB as reported in the literature, dosimetric and radiobiological results from the current study suggest that PB overestimates the target dose, EUD, and TCP for IMPT breast cancer treatment. The overestimation of dosimetric and radiobiological results of the target volume by PB needs to be further interpreted in terms of clinical outcome.
    MeSH term(s) Algorithms ; Breast Neoplasms/radiotherapy ; Female ; Humans ; Monte Carlo Method ; Organs at Risk/radiation effects ; Prognosis ; Proton Therapy/methods ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted/methods ; Radiotherapy, Intensity-Modulated/methods
    Language English
    Publishing date 2019-07-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2010347-5
    ISSN 1526-9914 ; 1526-9914
    ISSN (online) 1526-9914
    ISSN 1526-9914
    DOI 10.1002/acm2.12676
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  3. Article ; Online: Maier-Saupe model of polymer nematics: Comparing free energies calculated with Self Consistent Field theory and Monte Carlo simulations.

    Greco, Cristina / Jiang, Ying / Chen, Jeff Z Y / Kremer, Kurt / Daoulas, Kostas Ch

    The Journal of chemical physics

    2016  Volume 145, Issue 18, Page(s) 184901

    Abstract: ... reduces correlations. The model is studied with particle-based Monte Carlo (MC) simulations and SCF theory ...

    Abstract Self Consistent Field (SCF) theory serves as an efficient tool for studying mesoscale structure and thermodynamics of polymeric liquid crystals (LC). We investigate how some of the intrinsic approximations of SCF affect the description of the thermodynamics of polymeric LC, using a coarse-grained model. Polymer nematics are represented as discrete worm-like chains (WLC) where non-bonded interactions are defined combining an isotropic repulsive and an anisotropic attractive Maier-Saupe (MS) potential. The range of the potentials, σ, controls the strength of correlations due to non-bonded interactions. Increasing σ (which can be seen as an increase of coarse-graining) while preserving the integrated strength of the potentials reduces correlations. The model is studied with particle-based Monte Carlo (MC) simulations and SCF theory which uses partial enumeration to describe discrete WLC. In MC simulations the Helmholtz free energy is calculated as a function of strength of MS interactions to obtain reference thermodynamic data. To calculate the free energy of the nematic branch with respect to the disordered melt, we employ a special thermodynamic integration (TI) scheme invoking an external field to bypass the first-order isotropic-nematic transition. Methodological aspects which have not been discussed in earlier implementations of the TI to LC are considered. Special attention is given to the rotational Goldstone mode. The free-energy landscape in MC and SCF is directly compared. For moderate σ the differences highlight the importance of local non-bonded orientation correlations between segments, which SCF neglects. Simple renormalization of parameters in SCF cannot compensate the missing correlations. Increasing σ reduces correlations and SCF reproduces well the free energy in MC simulations.
    Language English
    Publishing date 2016-11-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3113-6
    ISSN 1089-7690 ; 0021-9606
    ISSN (online) 1089-7690
    ISSN 0021-9606
    DOI 10.1063/1.4966919
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    In stock of ZB MED Bonn / Germany

    Z 4' 49/16: Show issues

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  4. Article: An iterative technique to segment PET lesions using a Monte Carlo based mathematical model.

    Nehmeh, S A / El-Zeftawy, H / Greco, C / Schwartz, J / Erdi, Y E / Kirov, A / Schmidtlein, C R / Gyau, A B / Larson, S M / Humm, J L

    Medical physics

    2009  Volume 36, Issue 10, Page(s) 4803–4809

    Abstract: ... deduced from Monte Carlo simulations to estimate tumor segmentation thresholds.: Methods: The GATE ... software, a GEANT4 based Monte Carlo tool, was used to model the GE Advance PET scanner geometry. Spheres ...

    Abstract Purpose: The need for an accurate lesion segmentation tool in 18FDG PET is a prerequisite for the estimation of lesion response to therapy, for radionuclide dosimetry, and for the application of 18FDG PET to radiotherapy planning. In this work, the authors have developed an iterative method based on a mathematical fit deduced from Monte Carlo simulations to estimate tumor segmentation thresholds.
    Methods: The GATE software, a GEANT4 based Monte Carlo tool, was used to model the GE Advance PET scanner geometry. Spheres ranging between 1 and 6 cm in diameters were simulated in a 10 cm high and 11 cm in diameter cylinder. The spheres were filled with water-equivalent density and simulated in both water and lung equivalent background. The simulations were performed with an infinite, 8/1, and 4/1 target-to-background ratio (T/B). A mathematical fit describing the correlation between the lesion volume and the corresponding optimum threshold value was then deduced through analysis of the reconstructed images. An iterative method, based on this mathematical fit, was developed to determine the optimum threshold value. The effects of the lesion volume and T/B on the threshold value were investigated. This method was evaluated experimentally using the NEMA NU2-2001 IEC phantom, the ACNP cardiac phantom, a randomly deformed aluminum can, and a spheroidal shape phantom implemented artificially in the lung, liver, and brain of patient PET images. Clinically, the algorithm was evaluated in six lesions from five patients. Clinical results were compared to CT volumes.
    Results: This mathematical fit predicts an existing relationship between the PET lesion size and the percent of maximum activity concentration within the target volume (or threshold). It also showed a dependence of the threshold value on the T/B, which could be eliminated by background subtraction. In the phantom studies, the volumes of the segmented PET targets in the PET images were within 10% of the nominal ones. Clinically, the PET target volumes were also within 10% of those measured from CT images.
    Conclusions: This iterative algorithm enabled accurately segment PET lesions, independently of their contrast value.
    MeSH term(s) Algorithms ; Artificial Intelligence ; Computer Simulation ; Data Interpretation, Statistical ; Humans ; Image Enhancement/methods ; Image Interpretation, Computer-Assisted/methods ; Models, Biological ; Models, Statistical ; Monte Carlo Method ; Neoplasms/diagnostic imaging ; Pattern Recognition, Automated/methods ; Phantoms, Imaging ; Positron-Emission Tomography/instrumentation ; Positron-Emission Tomography/methods ; Reproducibility of Results ; Sensitivity and Specificity ; Software
    Language English
    Publishing date 2009-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 188780-4
    ISSN 0094-2405
    ISSN 0094-2405
    DOI 10.1118/1.3222732
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1210: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  5. Article: Galli-Galli Disease: A Comprehensive Literature Review.

    Michelerio, Andrea / Greco, Antonio / Tomasini, Dario / Tomasini, Carlo

    Dermatopathology (Basel, Switzerland)

    2024  Volume 11, Issue 1, Page(s) 79–100

    Abstract: Galli-Galli disease (GGD) is a rare genodermatosis that exhibits autosomal dominant inheritance with variable penetrance. GGD typically manifests with erythematous macules, papules, and reticulate hyperpigmentation in flexural areas. A distinct atypical ... ...

    Abstract Galli-Galli disease (GGD) is a rare genodermatosis that exhibits autosomal dominant inheritance with variable penetrance. GGD typically manifests with erythematous macules, papules, and reticulate hyperpigmentation in flexural areas. A distinct atypical variant exists, which features brown macules predominantly on the trunk, lower limbs, and extremities, with a notable absence of the hallmark reticulated hyperpigmentation in flexural areas. This review includes a detailed literature search and examines cases since GGD's first description in 1982. It aims to synthesize the current knowledge on GGD, covering its etiology, clinical presentation, histopathology, diagnosis, and treatment. A significant aspect of this review is the exploration of the genetic, histopathological, and clinical parallels between GGD and Dowling-Degos disease (DDD), which is another rare autosomal dominant genodermatosis, particularly focusing on their shared mutations in the
    Language English
    Publishing date 2024-02-07
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2777118-0
    ISSN 2296-3529
    ISSN 2296-3529
    DOI 10.3390/dermatopathology11010008
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  6. Book: Radiotherapy of prostate cancer

    Greco, Carlo

    2000  

    Author's details ed. by Carlo Greco
    Keywords Prostatakrebs ; Strahlentherapie
    Subject Bestrahlung ; Radiotherapie ; Strahlenbehandlung ; Radioonkologie ; Prostatacarcinom ; Prostatakarzinom
    Language English
    Size XIV, 484 S. : Ill., graph. Darst.
    Publisher Harwood Acad. Publ
    Publishing place Amsterdam
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT012786603
    ISBN 90-5702-482-9 ; 978-90-5702-482-5
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2000 A 3481 order for loan Magazin

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  7. Article: Impact of Quantitative Computed Tomography-Based Analysis of Abdominal Adipose Tissue in Patients with Lymphoma.

    Greco, Federico / Beomonte Zobel, Bruno / Mallio, Carlo Augusto

    Hematology reports

    2023  Volume 15, Issue 3, Page(s) 474–482

    Abstract: Quantitative abdominal adipose tissue analysis is important for obtaining information about prognosis and clinical outcomes on a wide array of diseases. In recent years, the effects of abdominal adipose tissue compartments in patients with lymphoma and ... ...

    Abstract Quantitative abdominal adipose tissue analysis is important for obtaining information about prognosis and clinical outcomes on a wide array of diseases. In recent years, the effects of abdominal adipose tissue compartments in patients with lymphoma and the changes in their distribution after therapies have been studied. This information could facilitate the improvement of therapies in patients with lymphoma, to prevent or treat both visceral obesity and sarcopenia. Opportunistic analysis of body composition on computed tomography (CT) images might contribute to the improvement of patient management and clinical outcomes together with implementation of targeted patient-tailored therapies. The purpose of this literature review is to describe the role of CT to evaluate abdominal adipose tissue quantity and distribution in patients with lymphoma.
    Language English
    Publishing date 2023-08-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2586645-X
    ISSN 2038-8330 ; 2038-8322
    ISSN (online) 2038-8330
    ISSN 2038-8322
    DOI 10.3390/hematolrep15030049
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  8. Article ; Online: Single-Dose Radiotherapy for Prostate Cancer-Lessons Learned From Single-Fraction High-Dose-Rate Brachytherapy-Reply.

    Greco, Carlo / Fuks, Zvi

    JAMA oncology

    2021  Volume 7, Issue 10, Page(s) 1573

    MeSH term(s) Brachytherapy/adverse effects ; Humans ; Male ; Prostatic Neoplasms/drug therapy ; Prostatic Neoplasms/radiotherapy ; Radiation Oncology ; Radiotherapy Dosage
    Language English
    Publishing date 2021-08-02
    Publishing country United States
    Document type Letter ; Comment
    ISSN 2374-2445
    ISSN (online) 2374-2445
    DOI 10.1001/jamaoncol.2021.2694
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  9. Book ; Online: A New Deep Learning and XAI-Based Algorithm for Features Selection in Genomics

    Adornetto, Carlo / Greco, Gianluigi

    2023  

    Abstract: In the field of functional genomics, the analysis of gene expression profiles through Machine and Deep Learning is increasingly providing meaningful insight into a number of diseases. The paper proposes a novel algorithm to perform Feature Selection on ... ...

    Abstract In the field of functional genomics, the analysis of gene expression profiles through Machine and Deep Learning is increasingly providing meaningful insight into a number of diseases. The paper proposes a novel algorithm to perform Feature Selection on genomic-scale data, which exploits the reconstruction capabilities of autoencoders and an ad-hoc defined Explainable Artificial Intelligence-based score in order to select the most informative genes for diagnosis, prognosis, and precision medicine. Results of the application on a Chronic Lymphocytic Leukemia dataset evidence the effectiveness of the algorithm, by identifying and suggesting a set of meaningful genes for further medical investigation.

    Comment: 8 pages, 5 figures, Best Doctoral Consortium Paper AIxIA2022 (Udine, Italy)
    Keywords Quantitative Biology - Genomics ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Publishing date 2023-03-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Radiogenomics and Texture Analysis to Detect von Hippel-Lindau (VHL) Mutation in Clear Cell Renal Cell Carcinoma.

    Greco, Federico / D'Andrea, Valerio / Beomonte Zobel, Bruno / Mallio, Carlo Augusto

    Current issues in molecular biology

    2024  Volume 46, Issue 4, Page(s) 3236–3250

    Abstract: Radiogenomics, a burgeoning field in biomedical research, explores the correlation between imaging features and genomic data, aiming to link macroscopic manifestations with molecular characteristics. In this review, we examine existing radiogenomics ... ...

    Abstract Radiogenomics, a burgeoning field in biomedical research, explores the correlation between imaging features and genomic data, aiming to link macroscopic manifestations with molecular characteristics. In this review, we examine existing radiogenomics literature in clear cell renal cell carcinoma (ccRCC), the predominant renal cancer, and von Hippel-Lindau (
    Language English
    Publishing date 2024-04-08
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2000024-8
    ISSN 1467-3045 ; 1467-3037
    ISSN (online) 1467-3045
    ISSN 1467-3037
    DOI 10.3390/cimb46040203
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5122: 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)
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