Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel.

Background Prostate MRI is used widely in clinical care for guiding tissue sampling, active surveillance, and staging. The Prostate Imaging Reporting and Data System (PI-RADS) helps provide a standardized probabilistic approach for identifying clinically significant prostate cancer. Despite widespread use, the variability in performance of prostate MRI across practices remains unknown. Purpose To estimate the positive predictive value (PPV) of PI-RADS for the detection of high-grade prostate cancer across imaging centers. Materials and Methods This retrospective cross-sectional study was compliant with the HIPAA. Twenty-six centers with members in the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel submitted data from men with suspected or biopsy-proven untreated prostate cancer. MRI scans were obtained between January 2015 and April 2018. This was followed with targeted biopsy. Only men with at least one MRI lesion assigned a PI-RADS score of 2-5 were included. Outcome was prostate cancer with Gleason score (GS) greater than or equal to 3+4 (International Society of Urological Pathology grade group ≥2). A mixed-model logistic regression with institution and individuals as random effects was used to estimate overall PPVs. The variability of observed PPV of PI-RADS across imaging centers was described by using the median and interquartile range. Results The authors evaluated 3449 men (mean age, 65 years ± 8 [standard deviation]) with 5082 lesions. Biopsy results showed 1698 cancers with GS greater than or equal to 3+4 (International Society of Urological Pathology grade group ≥2) in 2082 men. Across all centers, the estimated PPV was 35% (95% confidence interval [CI]: 27%, 43%) for a PI-RADS score greater than or equal to 3 and 49% (95% CI: 40%, 58%) for a PI-RADS score greater than or equal to 4. The interquartile ranges of PPV at these same PI-RADS score thresholds were 27%-44% and 27%-48%, respectively. Conclusion The positive predictive value of the Prostate Imaging and Reporting Data System was low and varied widely across centers. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Milot in this issue.

3.0 T relaxation time measurements of human lymph nodes in adults with and without lymphatic insufficiency: Implications for magnetic resonance lymphatic imaging.

The purpose of this work was to quantify 3.0 T (i) T1 and T2 relaxation times of in vivo human lymph nodes (LNs) and (ii) LN relaxometry differences between healthy LNs and LNs from patients with lymphatic insufficiency secondary to breast cancer treatment-related lymphedema (BCRL). MR relaxometry was performed over bilateral axillary regions at 3.0 T in healthy female controls (105 LNs from 20 participants) and patients with BCRL (108 LNs from 20 participants). Quantitative T1 maps were calculated using a multi-flip-angle (20, 40, 60°) method with B1 correction (dual-TR method, TR1 /TR2  = 30/130 ms), and T2 maps using a multi-echo (TE  = 9-189 ms; 12 ms intervals) method. T1 and T2 were quantified in the LN cortex and hilum. A Mann-Whitney U-test was applied to compare LN relaxometry values between patients and controls (significance, two sided, p < 0.05). Linear regression was applied to evaluate how LN relaxometry varied with age, BMI, and clinical indicators of disease. LN substructure relaxation times (mean ± standard deviation) in healthy controls were T1 cortex, 1435 ± 391 ms; T1 hilum, 714 ± 123 ms; T2 cortex, 102 ± 12 ms, and T2 hilum, 119 ± 21 ms. T1 of the LN cortex was significantly reduced in the contralateral axilla of BCRL patients compared with the axilla on the surgical side (p < 0.001) and compared with bilateral control values (p < 0.01). The LN cortex T1 asymmetry discriminated cases from controls (p = 0.004) in a multiple linear regression, accounting for age and BMI. Human 3.0 T T1 and T2 relaxation times in axillary LNs were quantified for the first time in vivo. Measured values are relevant for optimizing acquisition parameters in anatomical lymphatic imaging sequences, and can serve as a reference for novel functional and molecular LN imaging methods that require quantitative knowledge of LN relaxation times.

Mopeds: the legal loophole for repeat driving while intoxicated offenders.

BACKGROUND: Mopeds have less stringent licensing laws than automobiles. Moped operators in motorized vehicle collisions (MVCs) exhibit significantly higher rates of driving while intoxicated (DWI) and higher blood alcohol levels than automobile or motorcycle operators. This study evaluates the public safety issue of DWI recidivism among moped operators. METHODS: Moped operators evaluated after MVCs were identified from 2007 to 2009. Demographics, hospital data, and Department of Motor Vehicles records were reviewed. RESULTS: Sixty-five moped operators were evaluated. Thirty-two (49%) had a positive blood alcohol level, 29 (45%) had a previous DWI, and 21 (72%) of those were repeat offenders. Twenty-five (38%) had a revoked license at the time of injury. Of these, 19 (76%) incurred multiple revocations. Twenty-two (34%) showed prior charges of driving with a revoked license (DWRL), with 15 (68%) incurring multiple DWRL charges. CONCLUSIONS: Moped operators are often intoxicated at the time of injury and represent a public safety hazard. The majority are recidivists with multiple alcohol-related traffic charges. Current laws allow repeat offenders the sustained opportunity to operate motorized vehicles. Re-evaluation of current moped laws is needed to keep habitual offenders off the road.

Speckle patterning of soft tissues for strain field measurement using digital image correlation: preliminary quality assessment of patterns.

Methods for creating speckle patterns on mouse arteries for use in deformation and strain field measurements in a stereomicroscope digital image correlation (DIC) system are described. Both fluorescent microsphere binding and ethidium bromide (EB) nuclear staining were used to generate high contrast, random patterns on mouse carotid arteries. To quantify the quality of each pattern, several metrics are used including (a) histogram distribution for each intensity pattern and (b) pixel-level variance in intensity pattern noise. Results demonstrate that both approaches provide sufficient pattern contrast for use in image-based methods to measure deformations in soft tissue. While fluorescent nuclear staining generates higher pixel-level intensity noise, this method provides better overall pattern quality (greater spatial uniformity and broader histogram) for automated DIC analysis when used at the appropriate magnification. Using recently developed theoretical predictions, estimates for the standard deviation in image-correlation-based displacements due to the measured intensity pattern variance are presented for fluorescent microsphere binding and EB nuclear staining patterns. Results confirm that both patterning approaches provide relatively small standard deviation in displacement measurements and hence are appropriate for measurement of deformations in small artery specimens.