[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Xiong et al., 2021 - Google Patents

Value of MRI texture analysis for predicting high-grade prostate cancer

Xiong et al., 2021

Document ID
7111590443742155452
Author
Xiong H
He X
Guo D
Publication year
Publication venue
Clinical Imaging

External Links

Snippet

Purpose To explore the potential value of MRI texture analysis (TA) combined with prostate- related biomarkers to predict high-grade prostate cancer (HGPCa). Materials and methods Eighty-five patients who underwent MRI scanning, including T2-weighted imaging (T2WI) …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay
    • G01N33/574—Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407—Specifically defined cancers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves

Similar Documents

Publication Publication Date Title
Sciarra et al. Value of magnetic resonance spectroscopy imaging and dynamic contrast-enhanced imaging for detecting prostate cancer foci in men with prior negative biopsy
Roethke et al. Evaluation of diffusion kurtosis imaging versus standard diffusion imaging for detection and grading of peripheral zone prostate cancer
Bickel et al. Quantitative apparent diffusion coefficient as a noninvasive imaging biomarker for the differentiation of invasive breast cancer and ductal carcinoma in situ
Suo et al. Non-Gaussian water diffusion kurtosis imaging of prostate cancer
Puech et al. Dynamic contrast-enhanced–magnetic resonance imaging evaluation of intraprostatic prostate cancer: correlation with radical prostatectomy specimens
Doo et al. Detectability of low and intermediate or high risk prostate cancer with combined T2-weighted and diffusion-weighted MRI
Bourgioti et al. Incremental prognostic value of MRI in the staging of early cervical cancer: a prospective study and review of the literature
Kitajima et al. Do apparent diffusion coefficient (ADC) values obtained using high b-values with a 3-T MRI correlate better than a transrectal ultrasound (TRUS)-guided biopsy with true Gleason scores obtained from radical prostatectomy specimens for patients with prostate cancer?
Liu et al. Whole‐volume apparent diffusion coefficient‐based entropy parameters for assessment of gastric cancer aggressiveness
Xiong et al. Value of MRI texture analysis for predicting high-grade prostate cancer
Liu et al. Histogram analysis of diffusion kurtosis imaging in the differentiation of malignant from benign breast lesions
Windisch et al. Role of the prostate imaging quality PI-QUAL score for prostate magnetic resonance image quality in pathological upstaging after radical prostatectomy: a multicentre European study
Huang et al. Multi-parametric magnetic resonance imaging-based radiomics analysis of cervical cancer for preoperative prediction of lymphovascular space invasion
Hara et al. Diffusion-weighted imaging of local recurrent prostate cancer after radiation therapy: comparison with 22-core three-dimensional prostate mapping biopsy
Zhang et al. Diffusion-weighted imaging of prostate cancer on 3T MR: Relationship between apparent diffusion coefficient values and Ki-67 expression
Li et al. MR elastography-based shear strain mapping for assessment of microvascular invasion in hepatocellular carcinoma
Łuczyńska et al. The utility of diffusion weighted imaging (DWI) using apparent diffusion coefficient (ADC) values in discriminating between prostate cancer and normal tissue
Campa et al. Improvement of prostate cancer detection combining a computer-aided diagnostic system with TRUS-MRI targeted biopsy
Onal et al. The prognostic value of mean apparent diffusion coefficient measured with diffusion-weighted magnetic resonance image in patients with prostate cancer treated with definitive radiotherapy
Renard-Penna et al. Relationship between non-suspicious MRI and insignificant prostate cancer: results from a monocentric study
Weaver et al. Presence of magnetic resonance imaging suspicious lesion predicts Gleason 7 or greater prostate cancer in biopsy-naive patients
Hamed et al. Impact of adding mean apparent diffusion coefficient (ADCmean) measurements to O-RADS MRI scoring for adnexal lesions characterization: a combined O-RADS MRI/Adcmean approach
Song et al. Quantitative assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a comparative analysis with diffusion-weighted imaging
Padhani Integrating multiparametric prostate MRI into clinical practice
Zhang et al. Differentiation of Muscular Invasion in Bladder Cancer: Additional Value of Synthetic Magnetic Resonance Imaging