scholarly journals Structured reporting in radiologic education – Potential of different PI-RADS versions in prostate MRI controlled by in-bore MR-guided biopsies

2021 ◽  
Author(s):  
Marietta Garmer ◽  
Julia Karpienski ◽  
Dietrich HW Groenemeyer ◽  
Birgit Wagener ◽  
Lars Kamper ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Roc Analysis ◽  
Multiparametric Mri ◽  
Structured Reporting ◽  
Observer Agreement ◽  
Data Sets ◽  
Prostate Cancer Detection ◽  
Experienced Radiologist ◽  
Sensitivity Specificity ◽  
Radiologic Education

Objectives: To evaluate the efficiency of structured reporting in radiologic education – based on the example of different PI-RADS score versions for multiparametric MRI (mpMRI) of the prostate. Methods: MpMRI of 688 prostate lesions in 180 patients were retrospectively reviewed by an experienced radiologist and by a student using PI-RADS V1 and V2. Data sets were reviewed for changes according to PI-RADS V2.1. The results were correlated with results obtained by MR-guided biopsy. Diagnostic potency was evaluated by ROC analysis. Sensitivity, specificity and correct-graded samples were evaluated for different cutpoints. The agreement between radiologist and student was determined for the aggregation of the PI-RADS score in three categories. The student’s time needed for evaluation was measured. Results: The area under curve of the ROC analysis was 0.782/0.788 (V1/V2) for the student and 0.841/0.833 (V1/V2) for the radiologist. The agreement between student and radiologist showed a Cohen‘s weighted κ coefficient of 0.495 for V1 and 0.518 for V2. Median student’s time needed for score assessment was 4:34 min for PI-RADSv1 and 2:00 min for PI-RADSv2 (p < 0.001). Re-evaluation for V2.1 changed the category in 1.4% of all ratings. Conclusion: The capacity of prostate cancer detection using PI-RADS V1 and V2 is dependent on the reader‘s experience. The results from the two observers indicate that structured reporting using PI-RADS and, controlled by histopathology, can be a valuable and quantifiable tool in students‘ or residents’ education. Herein, V2 was superior to V1 in terms of inter-observer agreement and time efficacy. Advances in knowledge: Structured reporting can be a valuable and quantifiable tool in radiologic education. Structured reporting using PI-RADS can be used by a student with good performance. PI-RADS V2 is superior to V1 in terms of inter-observer agreement and time efficacy.

Comparison of Biparametric and Multiparametric MRI for Clinically Significant Prostate Cancer Detection With PI‐RADS Version 2.1

2020 ◽  
Vol 53 (1) ◽  
pp. 283-291
Author(s):  
Tsutomu Tamada ◽  
Ayumu Kido ◽  
Akira Yamamoto ◽  
Mitsuru Takeuchi ◽  
Yoshiyuki Miyaji ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Multiparametric Mri ◽  
Prostate Cancer Detection ◽  
Clinically Significant

scholarly journals Comparison between multiparametric MRI with and without post - contrast sequences for clinically significant prostate cancer detection

2018 ◽  
Vol 44 (6) ◽  
pp. 1129-1138 ◽  
Author(s):  
Thais Caldara Mussi ◽  
Tatiana Martins ◽  
George Caldas Dantas ◽  
Rodrigo Gobbo Garcia ◽  
Renee Zon Filippi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Multiparametric Mri ◽  
Post Contrast ◽  
Prostate Cancer Detection ◽  
Clinically Significant

scholarly journals Hypogonadism and prostate cancer detection on multiparametric MRI and mpMRI-TRUS fusion biopsy

2019 ◽  
Vol 52 (4) ◽  
pp. 633-638
Author(s):  
Dordaneh Sugano ◽  
Abhinav Sidana ◽  
Amit L. Jain ◽  
Brian Calio ◽  
Sonia Gaur ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Multiparametric Mri ◽  
Fusion Biopsy ◽  
Prostate Cancer Detection

Multiparametric MRI for prostate cancer detection: Performance in patients with prostate-specific antigen values between 2.5 and 10 ng/mL

2013 ◽  
Vol 39 (5) ◽  
pp. 1206-1212 ◽  
Author(s):  
Antonella Petrillo ◽  
Roberta Fusco ◽  
Sergio V. Setola ◽  
Francesco M. Ronza ◽  
Vincenza Granata ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Specific Antigen ◽  
Cancer Detection ◽  
Specific Antigen ◽  
Multiparametric Mri ◽  
Detection Performance ◽  
Prostate Cancer Detection

scholarly journals Prostate Cancer Detection with Multiparametric MRI: A Comparison of 1 M-Concentration Gadobutrol with 0.5 M-Concentration Gadolinium-Based Contrast Agents

2017 ◽  
Vol 11 (4) ◽  
pp. 201-205 ◽  
Author(s):  
Takeshi Hara ◽  
Takeshi Ogata ◽  
Hiroko Wada ◽  
Takayuki Yabuki ◽  
Susumu Kanazawa
Keyword(s):  
Prostate Cancer ◽  
Contrast Agents ◽  
Cancer Detection ◽  
Gadopentetate Dimeglumine ◽  
Multiparametric Mri ◽  
Predictive Values ◽  
Prostate Cancer Detection ◽  
Contrast Enhanced ◽  
Gadoterate Meglumine ◽  
Magnetic Resonance Imaging Mri

Introduction: Gadobutrol (Gd-DO3A-butrol) (Gadovist®) is a macrocyclic gadolinium-based contrast agent for magnetic resonance imaging (MRI) formulated at 1.0 mmol Gd/ml. Gadobutrol's higher concentration compared to other contrast agents (0.5 mmol Gd/ml) is associated with higher T1 relaxivity. We examined whether gadobutrol increases the accuracy of prostate cancer detection using dynamic contrast-enhanced MRI. Materials and Methods: Multiparametric MRI was performed in 379 patients: 94 patients received 1 M gadobutrol while 285 randomly received equivalent doses of 0.5 M gadoterate meglumine or gadopentetate dimeglumine. MRI images were retrospectively and blindly assessed for the presence of cancer by comparing them with prostate biopsy findings. Results: The specificity and accuracy were significantly higher with 1 M gadobutrol than 0.5 M of the other contrast agents. There were no significant differences in the sensitivity, or positive and negative predictive values. Conclusion: Multiparametric MRI using 1 M gadobutrol may improve the accuracy of prostate cancer detection.

PD11-10 IMPACT OF GLEASON PATTERN 4 CRIBRIFORM ARCHITECTURE ON PROSTATE CANCER DETECTION USING MULTIPARAMETRIC MRI

2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Matthew Truong ◽  
Hiroshi Miyamoto ◽  
Eric Weinberg ◽  
Gary Hollenberg ◽  
Edward Messing ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Multiparametric Mri ◽  
Prostate Cancer Detection ◽  
Gleason Pattern
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