Background: Computed tomography (CT) is a commonly used noninvasive procedure for prostate cancer (PCa) staging. All previous studies addressing the ability of CT scan to predict lymph node invasion (LNI) were based on historical patients treated with limited pelvic lymph node dissection (PLND). Objective: Assess the value of CT in predicting LNI in contemporary PCa patients treated with extended PLND (ePLND). Design, setting, and participants: We evaluated 1541 patients undergoing radical prostatectomy and ePLND between 2003 and 2010 at a single center. All patients were preoperatively staged using abdominopelvic CT scan. All lymph nodes with a short axis diameter >= 10 mm were considered suspicious for metastatic involvement. Intervention...
Purpose In recurrent prostate carcinoma, determination of the site of recurrence is crucial to guide...
Objectives: to externally validate currently available nomograms for predicting lymph node invasion ...
Background: The Briganti updated nomogram (BN) is the most popular predictive model aiming to predic...
Background: Although the therapeutic role of extended pelvic lymph node dissection (ePLND) in patien...
Contains fulltext : 70789.pdf (publisher's version ) (Closed access)AIM: To compar...
BACKGROUND: Contrast-enhanced computed tomography (CT) and magnetic resonance (MR) imaging for lymph...
BACKGROUND: Contrast-enhanced computed tomography (CT) and magnetic resonance (MR) imaging for lymph...
Background: Few predictive models aimed at predicting the presence of lymph node invasion (LNI) in p...
INTRODUCTION: To determine preoperative diagnostic accuracy of 18F-fluciclovine PET/CT-scan in detec...
CONTEXT: Pelvic lymph node dissection (PLND) is considered the most reliable procedure for the detec...
Background: Accurate identification of pelvic lymph node metastasis (PLNM) in patients with prostate...
PURPOSE: Accurate staging modalities to diagnose lymph node involvement in patients with prostate ca...
Objectives To externally validate the currently available nomograms for predicting lymph node invasi...
Background: [18F]PSMA-1007 is a promising tracer for integrated positron emission tomography and com...
Background: Current guidelines highlight the importance of accurate staging in the management and pr...
Purpose In recurrent prostate carcinoma, determination of the site of recurrence is crucial to guide...
Objectives: to externally validate currently available nomograms for predicting lymph node invasion ...
Background: The Briganti updated nomogram (BN) is the most popular predictive model aiming to predic...
Background: Although the therapeutic role of extended pelvic lymph node dissection (ePLND) in patien...
Contains fulltext : 70789.pdf (publisher's version ) (Closed access)AIM: To compar...
BACKGROUND: Contrast-enhanced computed tomography (CT) and magnetic resonance (MR) imaging for lymph...
BACKGROUND: Contrast-enhanced computed tomography (CT) and magnetic resonance (MR) imaging for lymph...
Background: Few predictive models aimed at predicting the presence of lymph node invasion (LNI) in p...
INTRODUCTION: To determine preoperative diagnostic accuracy of 18F-fluciclovine PET/CT-scan in detec...
CONTEXT: Pelvic lymph node dissection (PLND) is considered the most reliable procedure for the detec...
Background: Accurate identification of pelvic lymph node metastasis (PLNM) in patients with prostate...
PURPOSE: Accurate staging modalities to diagnose lymph node involvement in patients with prostate ca...
Objectives To externally validate the currently available nomograms for predicting lymph node invasi...
Background: [18F]PSMA-1007 is a promising tracer for integrated positron emission tomography and com...
Background: Current guidelines highlight the importance of accurate staging in the management and pr...
Purpose In recurrent prostate carcinoma, determination of the site of recurrence is crucial to guide...
Objectives: to externally validate currently available nomograms for predicting lymph node invasion ...
Background: The Briganti updated nomogram (BN) is the most popular predictive model aiming to predic...