0000000000123856

AUTHOR

M. Minhaj Siddiqui

showing 1 related works from this author

A Magnetic Resonance Imaging–Based Prediction Model for Prostate Biopsy Risk Stratification

2018

IMPORTANCE: Multiparametric magnetic resonance imaging (MRI) in conjunction with MRI–transrectal ultrasound (TRUS) fusion-guided biopsies have improved the detection of prostate cancer. It is unclear whether MRI itself adds additional value to multivariable prediction models based on clinical parameters. OBJECTIVE: To determine whether an MRI-based prediction model can reduce unnecessary biopsies in patients with suspected prostate cancer. DESIGN, SETTING, AND PARTICIPANTS: Patients underwent MRI, MRI-TRUS fusion-guided biopsy, and 12-core systematic biopsy in 1 session. The development cohort used to derive the prediction model consisted of 400 patients from 1 institution enrolled between …

Image-Guided BiopsyMaleCancer Researchmedicine.medical_specialtyProstate biopsy030232 urology & nephrologyRisk Assessment03 medical and health sciencesProstate cancer0302 clinical medicineProstateBiopsymedicineHumansAgedUltrasonographyOriginal Investigationmedicine.diagnostic_testReceiver operating characteristicbusiness.industryProstateProstatic NeoplasmsMagnetic resonance imagingMiddle AgedPrognosismedicine.diseaseCombined Modality TherapyMagnetic Resonance ImagingTreatment Outcomemedicine.anatomical_structureOncology030220 oncology & carcinogenesisCohortRadiologybusinessImage-Guided BiopsyBiomarkers
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