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ShareScore release 0.9.0
Dataset results
299 results for “colorectal liver metastases”
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
<p>We uploaded the raw data related to extracted features of the manuscript "Granata V, Fusco R, De Muzio F, Brunese MC, Setola SV, Ottaiano A, Cardone C, Avallone A, Patrone R, Pradella S, Miele V, Tatangelo F, Cutolo C, Maggialetti N, Caruso D, Izzo F, Petrillo A. Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment. Radiol Med. 2023 Nov;128(11):1310-1332. doi: 10.1007/s11547-023-01710-w. Epub 2023 Sep 11. PMID: 37697033."</p>
Spatially Resolved Transcriptomics Deconvolutes Prognostic Histological Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases
<p>Spatial transcriptomic data (counts.csv) derived using the Nanostring GeoMx digital spatial profiler platform to analyse matched colonic primary and liver metastases from 4 patients with metastatic colorectal cancer. 48 AOIs of cancer transcriptome atlas data. Normalised using Q3 normalisation. In addition, normalised data (Counts - ncounter.csv) from ncounter bulk experiment comparing matched colonic primary and liver metastases</p>
Raw data for the article: A commentary on "Simultaneous versus staged resection for synchronous colorectal liver metastases: A population-based cohort study". Importance of avoiding any other additional risk in selected patients with synchronous colorectal liver metastases
<p>We read with great interest the article of Dr. Bogach and Colleagues, in which they have evaluated trends of resection for synchronous colorectal cancer liver metastases (CRLM) and associated patient outcomes with a retrospective cohort study from 2006 to 2015 in the province of Ontario, Canada.</p>
FOLFOXIRI Plus Panitumumab Patients With Metastatic KRAS Wild-Type Colorectal Cancer With Liver Metastases Only
ClinicalTrials.gov study NCT01226719. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Intra-arterial Hepatic Beads Loaded With Irinotecan With Concomitant Chemotherapy With FOLFOX in Patients With Colorectal Cancer With Unresectable Liver Metastases: a Phase II Multicenter Study
ClinicalTrials.gov study NCT01839877. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Randomized Phase II Adjuvant Chemotherapy ± FANG™ in Colorectal Carcinoma With Liver Metastases
ClinicalTrials.gov study NCT01505166. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Study of Talimogene Laherparepvec With Atezolizumab for Triple Negative Breast Cancer and Colorectal Cancer With Liver Metastases
ClinicalTrials.gov study NCT03256344. IPD Sharing: YES. Countries: 6. Publications: 1.
Vaccine Therapy in Treating Patients With Liver or Lung Metastases From Colorectal Cancer
ClinicalTrials.gov study NCT00103142. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Oslo Randomized Laparoscopic Versus Open Liver Resection for Colorectal Metastases Study
ClinicalTrials.gov study NCT01516710. IPD Sharing: YES. Countries: 1. Publications: 3.
Spatial transcriptome mapping of the desmoplastic growth pattern of colorectal liver metastases by in situ sequencing - Image and In SItu Sequencing data
<p>Image and ISS data for Spatial transcriptome mapping of the desmoplastic growth pattern of colorectal liver metastases by in situ sequencing reveals a biologically relevant zonation of the desmoplastic rim.</p><p>Image data consists of:</p><ul><li>Nucler stain (DAPI)</li><li>Masks for liver, rim and tumor regions</li><li>H&E images of parallel tissue sections</li></ul><p>Gene and cluster marker data is collected in the <i>markers.h5ad</i> file which can be read using AnnData (<a href="https://anndata.readthedocs.io/en/latest/">https://anndata.readthedocs.io/en/latest/)</a>. </p><p> </p>
Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction
<p>We uploaded the Radiomics features raw data of the manuscript "<span>Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction</span>"</p>
Contrast MR Based Radiomics and Machine Learning Analysis to assess clinical outcomes following liver resec-tion in Colorectal Liver Metastases: a preliminary study
<p>We uploaded the images of the manuscript "Contrast MR Based Radiomics and Machine Learning Analysis to assess clinical outcomes following liver resection in Colorectal Liver Metastases: a preliminary study" accepted on Cancers.</p> <p>Vincenza Granata1*, Roberta Fusco2, Federica De Muzio3, Carmen Cutolo4, Sergio Venanzio Setola1, Federica dell’ Aversana5, Alessandro Ottaiano6, Antonio Avallone6, Guglielmo Nasti6, Francesca Grassi5, Vincenzo Pilone4, Vittorio Miele7-8, Luca Brunese3, Francesco Izzo9, Antonella Petrillo1</p> <p>1Division of Radiology, “Istituto Nazionale Tumori IRCCS Fondazione Pascale – IRCCS di Napoli”, Naples, Italy</p> <p>2Medical Oncology Division, Igea SpA, Napoli, Italy</p> <p>3Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy</p> <p>4Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy</p> <p>5Division of Radiology, “Università degli Studi della Campania Luigi Vanvitelli”, Naples, Italy</p> <p>.6Division of Abdominal Oncology, “Istituto Nazionale Tumori IRCCS Fondazione Pascale – IRCCS di Napoli”, Naples, Italy</p> <p>7Division of Radiology, “Azienda Ospedaliera Universitaria Careggi”, Florence, Italy</p> <p>8Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122 Milan, Italy</p> <p>9Division of Epatobiliary Surgical Oncology,“Istituto Nazionale Tumori IRCCS Fondazione Pascale – IRCCS di Napoli”, Naples, Italy</p> <p> </p>
EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes Following Liver Resection in Colorectal Liver Metastases
<p>I uploaded the images of the manuscript " EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes Following Liver Resection in Colorectal Liver Metastases" accepted on Cancers Journal.</p>
CT-Based Radiomics Analysis to predict histo-pathological outcomes following liver resection in Colorectal Liver Metastases
<p>I uploaded the images of the manuscript "CT-Based Radiomics Analysis to predict histo-pathological outcomes following liver resection in Colorectal Liver Metastases".</p> <p>The objective of the study was to assess the radiomics features obtained by computed tomography (CT) examination as prognostic biomarkers in patients with liver colon rectal metastases in order to predict histo-pathological outcomes following liver resection. We demonstrated a good performance considering the single textural significant metric in the identification of front of tumor growth (expansive versus infiltrative) and tumor budding (high grade versus low grade or absent), in the recognition of mucinous type and in the detection of recurrences.</p>
Radiomics Textural Features by MR Imaging to assess clinical outcomes following liver resection in Colorectal Liver Metastases
<p>I uploaded the images od the manuscript "Radiomics Textural Features by MR Imaging to assess clinical outcomes following liver resection in Colorectal Liver Metastases"</p>
Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: what the radiologist should know
<p>I uploaded the images of the manuscript "Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: what the radiologist should know" with the aim to asssess MRI features of mucinous liver metastases compared to non-mucinous metastases and hepatic hemangioma.</p>
Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern
<p>I upload the images of the manuscript "Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern".</p>
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
<p>I uploaded the images of the manuscript Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases.</p>
Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
<p>I uploaded the images of the manuscript: </p> <table> <tbody> <tr> <td> <p>Title<br> Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics</p> </td> </tr> <tr> <td> <p>Journal<br> Infectious Agents and Cancer</p> </td> </tr> <tr> <td> <p>DOI<br> 10.1186/s13027-023-00495-x</p> </td> </tr> </tbody> </table> <p> </p>
Intratumoral CD3+ and NKp46+ Cells in Colorectal Liver Metastases
ClinicalTrials.gov study NCT02615665. IPD Sharing: Not stated. Countries: 1. Publications: 2.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.