LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 331

Search options

  1. Article ; Online: Comments on "Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta-analysis".

    Fusco, Roberta / Granata, Vincenza

    European journal of radiology

    2023  Volume 169, Page(s) 111192

    Abstract: We read with interest the article from Dr Jia LL and colleagues in Eur J Radiol in which they assessed the methodological quality of radiomics-based studies for non-invasive preoperative prediction of Kirsten rat sarcoma (KRAS) mutations in patients with ...

    Abstract We read with interest the article from Dr Jia LL and colleagues in Eur J Radiol in which they assessed the methodological quality of radiomics-based studies for non-invasive preoperative prediction of Kirsten rat sarcoma (KRAS) mutations in patients with colorectal cancer. They systematically evaluated the prediction models diagnostic accuracy of twenty-nine studies between February 2014 and March 2022 and we congratulate the Authors on their accuracy in reporting recent published manuscript about radiomics-based studies to predict KRAS mutations in patients with colorectal cancer however they did not report the impact of contrast administration and the different phases of the contrast study (arterial, portal and transient phase) compared to the EOB phase in this research field.
    MeSH term(s) Humans ; Proto-Oncogene Proteins p21(ras)/genetics ; Colorectal Neoplasms/diagnostic imaging ; Colorectal Neoplasms/genetics ; Mutation
    Chemical Substances Proto-Oncogene Proteins p21(ras) (EC 3.6.5.2) ; KRAS protein, human
    Language English
    Publishing date 2023-11-10
    Publishing country Ireland
    Document type Meta-Analysis ; Systematic Review ; Letter
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2023.111192
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Optimal imaging before local therapy of colorectal liver metastases.

    Granata, Vincenza / Petrillo, Antonella / Setola, Sergio Venanzio / Izzo, Francesco / Fusco, Roberta

    The Lancet. Oncology

    2024  Volume 25, Issue 3, Page(s) e100

    MeSH term(s) Humans ; Colorectal Neoplasms/diagnostic imaging ; Colorectal Neoplasms/pathology ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/secondary
    Language English
    Publishing date 2024-02-23
    Publishing country England
    Document type Letter
    ZDB-ID 2049730-1
    ISSN 1474-5488 ; 1470-2045
    ISSN (online) 1474-5488
    ISSN 1470-2045
    DOI 10.1016/S1470-2045(24)00033-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Commentary: The Synergistic Role of Irreversible Electroporation and Chemotherapy for Locally Advanced Pancreatic Cancer.

    Granata, Vincenza / Palaia, Raffaele / Izzo, Francesco

    Frontiers in oncology

    2022  Volume 12, Page(s) 955444

    Language English
    Publishing date 2022-09-15
    Publishing country Switzerland
    Document type Journal Article ; Comment
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.955444
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article: Incidental Focal Spleen Lesions: Integrated Imaging and Pattern Recognition Approach to the Differential Diagnosis.

    Corvino, Antonio / Granata, Vincenza / Tafuri, Domenico / Cocco, Giulio / Catalano, Orlando

    Diagnostics (Basel, Switzerland)

    2023  Volume 13, Issue 15

    Abstract: Spleen lesions and pseudolesions, detected incidentally in imaging, are not uncommon and may require further work-up. The imaging appearance of focal splenic lesions (FSLs) may not be pathognomonic, because of considerably overlapping features. ... ...

    Abstract Spleen lesions and pseudolesions, detected incidentally in imaging, are not uncommon and may require further work-up. The imaging appearance of focal splenic lesions (FSLs) may not be pathognomonic, because of considerably overlapping features. Consequently, all imaging techniques lack specificity to fully characterize FSLs. Clinical correlation is mandatory, so as, first of all, to categorize the patient as having or not having a history of solid or hematologic malignancy. Nowadays, many patients have old imaging studies available for comparison and, consequently, it is important to understand if the lesion was previously present or not, and if the size is the same or has changed. In the absence of comparison studies, and with a lack of imaging features of benignity, further investigation may be necessary, using PET, biopsy, or short-term follow-up. Some algorithms have been proposed to manage incidental FSLs; however, none of these strategies has been validated by prospective studies to date. In this review we illustrate the topic of incidental FSLs and we analyze a number of published algorithms.
    Language English
    Publishing date 2023-07-30
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics13152536
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Additional Considerations on Use of Abbreviated Liver MRI in Patients With Colorectal Liver Metastases.

    Granata, Vincenza / Fusco, Roberta / Petrillo, Antonella

    AJR. American journal of roentgenology

    2021  Volume 217, Issue 1, Page(s) W1

    MeSH term(s) Colorectal Neoplasms/diagnostic imaging ; Humans ; Liver ; Liver Neoplasms/diagnostic imaging ; Magnetic Resonance Imaging
    Language English
    Publishing date 2021-05-19
    Publishing country United States
    Document type Letter ; 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.21.25652
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Diffusion and Perfusion Imaging in Rectal Cancer Restaging.

    Granata, Vincenza / Fusco, Roberta / Setola, Sergio Venazio / Cozzi, Diletta / Rega, Daniela / Petrillo, Antonella

    Seminars in ultrasound, CT, and MR

    2023  Volume 44, Issue 3, Page(s) 117–125

    Abstract: The assessment of tumor response, after neoadjuvant radiochemotherapy (n-CRT), permits the stratification of patients for the proper therapeutical management. Although histopathology analysis of the surgical speciemen is considered the gold standard for ... ...

    Abstract The assessment of tumor response, after neoadjuvant radiochemotherapy (n-CRT), permits the stratification of patients for the proper therapeutical management. Although histopathology analysis of the surgical speciemen is considered the gold standard for assessing tumor response, magnetic resonance imaging (MRI), with its significant developments in technical imaging, have allowed an increase in accuracy for the evaluation of response. MRI provides a radiological tumor regression grade (mrTRG) that is correlated with the pathologic tumor regression grade (pTRG). Functional MRI parameters have additional impending in early prediction of the efficacy of therapy. Some of functional methodologies are already part of clinical practice: diffusion-weighted MRI (DW-MRI) and perfusion imaging (dynamic contrast enhanced MRI [DCE-MRI]).
    MeSH term(s) Humans ; Perfusion Imaging ; Diffusion Magnetic Resonance Imaging ; Rectal Neoplasms/diagnostic imaging ; Rectal Neoplasms/pathology ; Rectal Neoplasms/therapy ; Neoplasm Staging ; Neoadjuvant Therapy/methods
    Language English
    Publishing date 2023-03-03
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1353113-x
    ISSN 1558-5034 ; 0887-2171
    ISSN (online) 1558-5034
    ISSN 0887-2171
    DOI 10.1053/j.sult.2023.02.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Intrahepatic cholangiocarcinoma biomarkers: Towards early detection and personalized pharmacological treatments.

    Capuozzo, Maurizio / Santorsola, Mariachiara / Ferrara, Francesco / Cinque, Claudia / Farace, Stefania / Patrone, Renato / Granata, Vincenza / Zovi, Andrea / Nasti, Guglielmo / Ottaiano, Alessandro

    Molecular and cellular probes

    2024  Volume 73, Page(s) 101951

    Abstract: Cholangiocarcinoma (CCA) is a rare malignancy originating from the biliary tree and is anatomically categorized as intrahepatic (iCCA), perihilar, and extrahepatic or distal. iCCA, the second most prevalent hepatobiliary cancer following hepatocellular ... ...

    Abstract Cholangiocarcinoma (CCA) is a rare malignancy originating from the biliary tree and is anatomically categorized as intrahepatic (iCCA), perihilar, and extrahepatic or distal. iCCA, the second most prevalent hepatobiliary cancer following hepatocellular carcinoma (HCC), constitutes 5-20 % of all liver malignancies, with an increasing incidence. The challenging nature of iCCA, combined with nonspecific symptoms, often leads to late diagnoses, resulting in unfavorable outcomes. The advanced phase of this neoplasm is difficult to treat with dismal results. Early diagnosis could significantly reduce mortality attributed to iCCA but remains an elusive goal. The identification of biomarkers specific to iCCA and their translation into clinical practice could facilitate diagnosis, monitor therapy response, and potentially reveal novel interventions and personalized medicine. In this review, we present the current landscape of biomarkers in each of these contexts. In addition to CA19.9, a widely recognized biomarker for iCCA, others such as A1BG, CYFRA 21-1, FAM19A5, MMP-7, RBAK, SSP411, TuM2-PK, WFA, etc., as well as circulating tumor DNA, RNA, cells, and exosomes, are under investigation. Advancing our knowledge and monitoring of biomarkers may enable us to improve diagnosis, prognostication, and apply treatments dynamically and in a more personalized manner.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/complications ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/diagnosis ; Liver Neoplasms/drug therapy ; Liver Neoplasms/genetics ; Bile Duct Neoplasms/diagnosis ; Bile Duct Neoplasms/drug therapy ; Bile Duct Neoplasms/pathology ; Early Detection of Cancer ; Cholangiocarcinoma/diagnosis ; Cholangiocarcinoma/drug therapy ; Cholangiocarcinoma/genetics ; Biomarkers ; Bile Ducts, Intrahepatic/pathology ; Antigens, Neoplasm ; Keratin-19
    Chemical Substances antigen CYFRA21.1 ; Biomarkers ; Antigens, Neoplasm ; Keratin-19
    Language English
    Publishing date 2024-01-20
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 639082-1
    ISSN 1096-1194 ; 0890-8508
    ISSN (online) 1096-1194
    ISSN 0890-8508
    DOI 10.1016/j.mcp.2024.101951
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Preliminary data on artificial intelligence tool in magnetic resonance imaging assessment of degenerative pathologies of lumbar spine.

    Granata, Vincenza / Fusco, Roberta / Coluccino, Simone / Russo, Carmela / Grassi, Francesca / Tortora, Fabio / Conforti, Renata / Caranci, Ferdinando

    La Radiologia medica

    2024  Volume 129, Issue 4, Page(s) 623–630

    Abstract: Purpose: To evaluate the ability of an artificial intelligence (AI) tool in magnetic resonance imaging (MRI) assessment of degenerative pathologies of lumbar spine using radiologist evaluation as a gold standard.: Methods: Patients with degenerative ... ...

    Abstract Purpose: To evaluate the ability of an artificial intelligence (AI) tool in magnetic resonance imaging (MRI) assessment of degenerative pathologies of lumbar spine using radiologist evaluation as a gold standard.
    Methods: Patients with degenerative pathologies of lumbar spine, evaluated with MRI study, were enrolled in a retrospective study approved by local ethical committee. A comprehensive software solution (CoLumbo; SmartSoft Ltd., Varna, Bulgaria) designed to label the segments of the lumbar spine and to detect a broad spectrum of degenerative pathologies based on a convolutional neural network (CNN) was employed, utilizing an automatic segmentation. The AI tool efficacy was compared to data obtained by a senior neuroradiologist that employed a semiquantitative score. Chi-square test was used to assess the differences among groups, and Spearman's rank correlation coefficient was calculated between the grading assigned by radiologist and the grading obtained by software. Moreover, agreement was assessed between the value assigned by radiologist and software.
    Results: Ninety patients (58 men; 32 women) affected with degenerative pathologies of lumbar spine and aged from 60 to 81 years (mean 66 years) were analyzed. Significant correlations were observed between grading assigned by radiologist and the grading obtained by software for each localization. However, only when the localization was L2-L3, there was a good correlation with a coefficient value of 0.72. The best agreements were obtained in case of L1-L2 and L2-L3 localizations and were, respectively, of 81.1% and 72.2%. The lowest agreement of 51.1% was detected in case of L4-L5 locations. With regard canal stenosis and compression, the highest agreement was obtained for identification of in L5-S1 localization.
    Conclusions: AI solution represents an efficacy and useful toll degenerative pathologies of lumbar spine to improve radiologist workflow.
    MeSH term(s) Male ; Humans ; Female ; Lumbar Vertebrae/diagnostic imaging ; Retrospective Studies ; Artificial Intelligence ; Preliminary Data ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2024-02-13
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 205751-7
    ISSN 1826-6983 ; 0033-8362
    ISSN (online) 1826-6983
    ISSN 0033-8362
    DOI 10.1007/s11547-024-01791-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Machine learning-based radiomics analysis in predicting RAS mutational status using magnetic resonance imaging.

    Granata, Vincenza / Fusco, Roberta / Brunese, Maria Chiara / Di Mauro, Annabella / Avallone, Antonio / Ottaiano, Alessandro / Izzo, Francesco / Normanno, Nicola / Petrillo, Antonella

    La Radiologia medica

    2024  Volume 129, Issue 3, Page(s) 420–428

    Abstract: Purpose: To assess the efficacy of radiomics features, obtained by magnetic resonance imaging (MRI) with hepatospecific contrast agent, in pre-surgical setting, to predict RAS mutational status in liver metastases.: Methods: Patients with MRI in pre- ... ...

    Abstract Purpose: To assess the efficacy of radiomics features, obtained by magnetic resonance imaging (MRI) with hepatospecific contrast agent, in pre-surgical setting, to predict RAS mutational status in liver metastases.
    Methods: Patients with MRI in pre-surgical setting were enrolled in a retrospective study. Manual segmentation was made by means 3D Slicer image computing, and 851 radiomics features were extracted as median values using the PyRadiomics Python package. The features were extracted considering the agreement with the Imaging Biomarker Standardization Initiative (IBSI). Balancing was performed through synthesis of samples for the underrepresented classes using the self-adaptive synthetic oversampling (SASYNO) approach. Inter- and intraclass correlation coefficients (ICC) were calculated to assess the between-observer and within-observer reproducibility of all radiomics characteristics. For continuous variables, nonparametric Wilcoxon-Mann-Whitney test was utilized. Benjamini and Hochberg's false discovery rate (FDR) adjustment for multiple testing was used. Receiver operating characteristics (ROC) analysis with the calculation of area under the ROC curve (AUC), sensitivity (SENS), specificity (SPEC), positive predictive value (PPV), negative predictive value (NPV) and accuracy (ACC) were assessed for each parameter. Linear and non-logistic regression model (LRM and NLRM) and different machine learning-based classifiers including decision tree (DT), k-nearest neighbor (KNN) and support vector machine (SVM) were considered. Moreover, features selection were performed before and after a normalized procedure using two different methods (3-sigma and z-score). McNemar test was used to assess differences statistically significant between dichotomic tables. All statistical procedures were done using MATLAB R2021b Statistics and Machine Toolbox (MathWorks, Natick, MA, USA).
    Results: Seven normalized radiomics features, extracted from arterial phase, 11 normalized radiomics features, from portal phase, 12 normalized radiomics features from hepatobiliary phase and 12 normalized features from T2-W SPACE sequence were robust predictors of RAS mutational status. The multivariate analysis increased significantly the accuracy in RAS prediction when a LRM was used, combining 12 robust normalized features extracted by VIBE hepatobiliary phase reaching an accuracy of 99%, a sensitivity 97%, a specificity of 100%, a PPV of 100% and a NPV of 98%. No statistically significant increase was obtained, considering the tested classifiers DT, KNN and SVM, both without normalization and with normalization methods.
    Conclusions: Normalized approach in MRI radiomics analysis allows to predict RAS mutational status.
    MeSH term(s) Humans ; Radiomics ; Reproducibility of Results ; Retrospective Studies ; Magnetic Resonance Imaging ; Machine Learning
    Language English
    Publishing date 2024-02-02
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 205751-7
    ISSN 1826-6983 ; 0033-8362
    ISSN (online) 1826-6983
    ISSN 0033-8362
    DOI 10.1007/s11547-024-01779-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: Survival and Toxicities of Metastatic Colorectal Cancer Patients Treated with Regorafenib before TAS-102 or Vice Versa: A Mono-Institutional Real-Practice Study.

    Ottaiano, Alessandro / Santorsola, Mariachiara / Perri, Francesco / Granata, Vincenza / Cascella, Marco / Sabbatino, Francesco / Nasti, Guglielmo

    Journal of clinical medicine

    2023  Volume 12, Issue 2

    Abstract: Introduction: Regorafenib and TAS-102 are two orally-administered drugs used to treat refractory metastatic colorectal cancer (mCRC). This study was performed to explore any differences between different therapy sequences: TAS-102 first or regorafenib ... ...

    Abstract Introduction: Regorafenib and TAS-102 are two orally-administered drugs used to treat refractory metastatic colorectal cancer (mCRC). This study was performed to explore any differences between different therapy sequences: TAS-102 first or regorafenib first. Patients and methods: This is a retrospective and real-practice study in mCRC patients treated according to the ESMO guidelines. They received TAS-102 first (regorafenib second, TR) or regorafenib first (TAS-102 second, RT) at standard doses. Responses to therapy and toxicities were evaluated by RECIST and CTCAE v4.0, respectively. Associations between clinical and pathologic variables and different therapy sequences were evaluated by χ2-test. p <0.05 was considered statistically significant. A description of any differences in overall survival (OS) between TR and RT was the primary outcome. OS curves were depicted through the Kaplan−Meier product limit. All statistical analyses were performed by the Excel software and MedCalc® version 20.112. Results: Sixty-five patients were analyzed. Twenty-eight received regorafenib before TAS-102, 37 vice versa. Responsiveness to first-line chemotherapy as well as disease control were not different between RT and TR patients. G4 toxicities were very rare. The three most common G1/G2 toxicities with regorafenib were fatigue, anemia, and cutaneous rash; anemia, fatigue, and neutropenia with TAS-102. Compliance to treatment was lower in TAS-102 patients compared to regorafenib. Interestingly, analysis of OS showed a significant difference at Log Rank test (p = 0.0366) in favor of TR (median OS: 4.5 months) compared to RT (median OS: 3.0 months; HR: 0.55; 95% CI: 0.31−0.96). Conclusions: we found a significant difference in terms of survival in favor of the TR sequence of treatment. Larger studies are needed to confirm these data and explore specific biomarkers predicting the correct sequence of oral drugs in the treatment of refractory mCRC patients.
    Language English
    Publishing date 2023-01-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm12020596
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top