LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 5 of total 5

Search options

  1. Article: Image-Based Deep Learning Detection of High-Grade B-Cell Lymphomas Directly from Hematoxylin and Eosin Images.

    Perry, Chava / Greenberg, Orli / Haberman, Shira / Herskovitz, Neta / Gazy, Inbal / Avinoam, Assaf / Paz-Yaacov, Nurit / Hershkovitz, Dov / Avivi, Irit

    Cancers

    2023  Volume 15, Issue 21

    Abstract: Deep learning applications are emerging as promising new tools that can support the diagnosis and classification of different cancer types. While such solutions hold great potential for hematological malignancies, there have been limited studies ... ...

    Abstract Deep learning applications are emerging as promising new tools that can support the diagnosis and classification of different cancer types. While such solutions hold great potential for hematological malignancies, there have been limited studies describing the use of such applications in this field. The rapid diagnosis of double/triple-hit lymphomas (DHLs/THLs) involving
    Language English
    Publishing date 2023-10-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers15215205
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Short Training Significantly Improves Ganglion Cell Detection Using an Algorithm-Assisted Approach.

    Greenberg, Ariel / Samueli, Benzion / Fahoum, Ibrahim / Farkash, Shai / Greenberg, Orli / Zemser-Werner, Valentina / Sabo, Edmond / Hagege, Rami R / Hershkovitz, Dov

    Archives of pathology & laboratory medicine

    2022  Volume 147, Issue 2, Page(s) 215–221

    Abstract: Context.—: Medical education in pathology relies on the accumulation of experience gained through inspection of numerous samples from each entity. Acquiring sufficient teaching material for rare diseases, such as Hirschsprung disease (HSCR), may be ... ...

    Abstract Context.—: Medical education in pathology relies on the accumulation of experience gained through inspection of numerous samples from each entity. Acquiring sufficient teaching material for rare diseases, such as Hirschsprung disease (HSCR), may be difficult, especially in smaller institutes. The current study makes use of a previously developed decision support system using a decision support algorithm meant to aid pathologists in the diagnosis of HSCR.
    Objective.—: To assess the effect of a short training session on algorithm-assisted HSCR diagnosis.
    Design.—: Five pathologists reviewed a data set of 568 image sets (1704 images in total) selected from 50 cases by the decision support algorithm and were tasked with scoring the images for the presence or absence of ganglion cells. The task was repeated a total of 3 times. Each pathologist had to complete a short educational presentation between the second and third iterations.
    Results.—: The training resulted in a significantly increased rate of correct diagnoses (true positive/negative) and a decreased need for referrals for expert consultation. No statistically significant changes in the rate of false positives/negatives were detected.
    Conclusions.—: A very short (<10 minutes) training session can greatly improve the pathologist's performance in the algorithm-assisted diagnosis of HSCR. The same approach may be feasible in training for the diagnosis of other rare diseases.
    MeSH term(s) Humans ; Rare Diseases ; Pathologists ; Educational Status ; Algorithms
    Language English
    Publishing date 2022-06-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 194119-7
    ISSN 1543-2165 ; 0363-0153 ; 0096-8528 ; 0003-9985
    ISSN (online) 1543-2165
    ISSN 0363-0153 ; 0096-8528 ; 0003-9985
    DOI 10.5858/arpa.2021-0481-OA
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Protective Desmoplasia in Pancreatic Adenocarcinoma: High Vitamin D Receptor Expression and Collagen Content.

    Bahat, Adi Vaknine / Bar-David, Shoshi / Brooks, Abigail / Aizic, Asaf / Greenberg, Orli / Wolf, Ido / Klausner, Joseph M / Lahat, Guy / Nizri, Eran

    Anticancer research

    2020  Volume 40, Issue 11, Page(s) 6457–6464

    Abstract: Background/aim: Vitamin D receptor (VDR) has been shown to suppress desmoplasia in pancreatic ductal adenocarcinoma (PDAC). Our aim was to assess the clinical effects of VDR expression and its correlation with collagen content in the desmoplasia of PDAC ...

    Abstract Background/aim: Vitamin D receptor (VDR) has been shown to suppress desmoplasia in pancreatic ductal adenocarcinoma (PDAC). Our aim was to assess the clinical effects of VDR expression and its correlation with collagen content in the desmoplasia of PDAC patients.
    Patients and methods: This is a retrospective analysis of 127 patients with peritumoral desmoplasia resected for PDAC. VDR expression and collagen content were assessed by immunohistochemistry and correlated with clinical outcome.
    Results: Patients were classified into those with high and those with low VDR expression. High VDR expression was associated with improved overall survival (OS) in localized disease (N0) (median= 33; 95%CI=26.4-39.6 vs. 18; 15.5-20.5 months, p=0.01). Patients with high vs. low collagen content had improved OS [34, (range=22.3-45.6 months) vs. 17, (range=14.4-19.6 months), p<0.001]. The number of VDR+ cells was the same for patients with either high or low collagen content.
    Conclusion: Protective desmoplasia is associated with increased VDR expression and collagen content.
    MeSH term(s) Adenocarcinoma/genetics ; Adenocarcinoma/pathology ; Aged ; Carcinogenesis/genetics ; Carcinoma, Pancreatic Ductal/genetics ; Carcinoma, Pancreatic Ductal/pathology ; Cell Line, Tumor ; Collagen/genetics ; Disease-Free Survival ; Female ; Humans ; Male ; Middle Aged ; Receptors, Calcitriol/genetics ; Retrospective Studies
    Chemical Substances Receptors, Calcitriol ; VDR protein, human ; Collagen (9007-34-5)
    Language English
    Publishing date 2020-10-27
    Publishing country Greece
    Document type Journal Article
    ZDB-ID 604549-2
    ISSN 1791-7530 ; 0250-7005
    ISSN (online) 1791-7530
    ISSN 0250-7005
    DOI 10.21873/anticanres.14667
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Mutant

    Perets, Ruth / Greenberg, Orli / Shentzer, Talia / Semenisty, Valeria / Epelbaum, Ron / Bick, Tova / Sarji, Shada / Ben-Izhak, Ofer / Sabo, Edmond / Hershkovitz, Dov

    The oncologist

    2018  Volume 23, Issue 5, Page(s) 566–572

    Abstract: Background: Many new pancreatic cancer treatment combinations have been discovered in recent years, yet the prognosis of pancreatic ductal adenocarcinoma (PDAC) remains grim. The advent of new treatments highlights the need for better monitoring tools ... ...

    Abstract Background: Many new pancreatic cancer treatment combinations have been discovered in recent years, yet the prognosis of pancreatic ductal adenocarcinoma (PDAC) remains grim. The advent of new treatments highlights the need for better monitoring tools for treatment response, to allow a timely switch between different therapeutic regimens. Circulating tumor DNA (ctDNA) is a tool for cancer detection and characterization with growing clinical use. However, currently, ctDNA is not used for monitoring treatment response. The high prevalence of
    Subjects, materials, and methods: Seventeen metastatic PDAC patients were recruited and serial plasma samples were collected. CtDNA was extracted from the plasma, and
    Results: Plasma
    Conclusion: Our results confirm that mutant
    Implications for practice: Avoiding futile chemotherapy in metastatic pancreatic ductal adenocarcinoma (PDAC) patients by monitoring response to treatment is of utmost importance. A novel biomarker for monitoring treatment response in PDAC, using mutant
    MeSH term(s) Aged ; Biomarkers, Tumor/blood ; Biomarkers, Tumor/genetics ; Carcinoma, Pancreatic Ductal/blood ; Carcinoma, Pancreatic Ductal/genetics ; Carcinoma, Pancreatic Ductal/pathology ; Circulating Tumor DNA/blood ; Circulating Tumor DNA/genetics ; Female ; Humans ; Male ; Middle Aged ; Mutation ; Pancreatic Neoplasms/blood ; Pancreatic Neoplasms/genetics ; Pancreatic Neoplasms/pathology ; Prognosis ; Proto-Oncogene Proteins p21(ras)/blood ; Proto-Oncogene Proteins p21(ras)/genetics
    Chemical Substances Biomarkers, Tumor ; Circulating Tumor DNA ; KRAS protein, human ; Proto-Oncogene Proteins p21(ras) (EC 3.6.5.2)
    Language English
    Publishing date 2018-01-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1409038-7
    ISSN 1549-490X ; 1083-7159
    ISSN (online) 1549-490X
    ISSN 1083-7159
    DOI 10.1634/theoncologist.2017-0467
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Ex vivo organotypic cultures for synergistic therapy prioritization identify patient-specific responses to combined MEK and Src inhibition in colorectal cancer.

    Gavert, Nancy / Zwang, Yaara / Weiser, Roi / Greenberg, Orli / Halperin, Sharon / Jacobi, Oded / Mallel, Giuseppe / Sandler, Oded / Berger, Adi Jacob / Stossel, Erez / Rotin, Daniil / Grinshpun, Albert / Kamer, Iris / Bar, Jair / Pines, Guy / Saidian, Daniel / Bar, Ilan / Golan, Shay / Rosenbaum, Eli /
    Nadu, Andrei / Ben-Ami, Eytan / Weitzen, Rony / Nechushtan, Hovav / Golan, Talia / Brenner, Baruch / Nissan, Aviram / Margalit, Ofer / Hershkovitz, Dov / Lahat, Guy / Straussman, Ravid

    Nature cancer

    2022  Volume 3, Issue 2, Page(s) 219–231

    Abstract: Translating preclinical studies to effective treatment protocols and identifying specific therapeutic responses in individuals with cancer is challenging. This may arise due to the complex genetic makeup of tumor cells and the impact of their ... ...

    Abstract Translating preclinical studies to effective treatment protocols and identifying specific therapeutic responses in individuals with cancer is challenging. This may arise due to the complex genetic makeup of tumor cells and the impact of their multifaceted tumor microenvironment on drug response. To find new clinically relevant drug combinations for colorectal cancer (CRC), we prioritized the top five synergistic combinations from a large in vitro screen for ex vivo testing on 29 freshly resected human CRC tumors and found that only the combination of mitogen-activated protein kinase kinase (MEK) and proto-oncogene tyrosine-protein kinase Src (Src) inhibition was effective when tested ex vivo. Pretreatment phosphorylated Src (pSrc) was identified as a predictive biomarker for MEK and Src inhibition only in the absence of KRAS
    MeSH term(s) Cell Line, Tumor ; Cell Proliferation ; Colorectal Neoplasms/drug therapy ; Humans ; Mitogen-Activated Protein Kinase Kinases ; Mutation ; Tumor Microenvironment
    Chemical Substances Mitogen-Activated Protein Kinase Kinases (EC 2.7.12.2)
    Language English
    Publishing date 2022-02-10
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2662-1347
    ISSN (online) 2662-1347
    DOI 10.1038/s43018-021-00325-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top