Faculty Bibliography

OBJECTIVES/OBJECTIVE:To evaluate PI-RADSv2 for predicting pathological downgrading after radical prostatectomy (RP) in patients with biopsy-proven Gleason score (GS) 7(3+4) PC. METHODS:A total of 105 patients with biopsy-proven GS 7(3+4) PC who underwent multiparametric prostate MRI followed by RP were included. Two radiologists assigned PI-RADSv2 scores for each patient. Preoperative clinicopathological variables and PI-RADSv2 scores were compared between patients with and without downgrading after RP using the Wilcoxon rank sum test or Fisher's exact test. Logistic regression analyses with Firth's bias correction were performed to assess their association with downgrading. RESULTS:Pathological downgrading was identified in ten (9.5 %) patients. Prostate-specific antigen (PSA), PSA density, percentage of cores with GS 7(3+4), and greatest percentage of core length (GPCL) with GS 7(3+4) were significantly lower in patients with downgrading (p = 0.002-0.037). There was no significant difference in age and clinical stage (p = 0.537-0.755). PI-RADSv2 scores were significantly lower in patients with downgrading (3.8 versus 4.4, p = 0.012). At univariate logistic regression analysis, PSA, PSA density, and PI-RADSv2 scores were significant predictors of downgrading (p = 0.003-0.022). Multivariate analysis revealed only PSA density and PI-RADSv2 scores as independent predictors of downgrading (p = 0.014-0.042). CONCLUSIONS:The PI-RADSv2 scoring system was an independent predictor of pathological downgrading after RP in patients with biopsy-proven GS 7(3+4) PC. KEY POINTS/CONCLUSIONS:• PI-RADSv2 was an independent predictor of downgrading in biopsy-proven GS 7(3+4) PC • PSA density was also an independent predictor of downgrading • MRI may assist in identifying AS candidates in biopsy-proven GS 7(3+4) PC patients.

BACKGROUND:Angiomyolipoma (AML) with minimal fat may mimic renal cell carcinoma (RCC) and is difficult to distinguish from RCC with imaging studies alone. Precise diagnostic strategies have been explored to discern AML with minimal fat from RCC. PURPOSE/OBJECTIVE:To compare the morphological and enhancement features of AML with minimal fat with those of size-matched RCC on computed tomography (CT). MATERIAL AND METHODS/METHODS:Our study included 143 pathologically proved renal tumors (29 AML with minimal fat: mean diameter, 2.5 cm; range, 1.2-4 cm; 114 RCC: mean diameter, 2.8 cm; range, 1.3-4 cm). All patients underwent biphasic helical CTs. Two radiologists retrospectively evaluated the morphological (i.e. non-round and round appearances, with or without capsule) and enhancement features (i.e., wash-out, gradual, or prolonged). For the parameters that had statistically significance between the two groups, we calculated the positive and negative predictive values by using the univariate χ(2) test. P < 0.05 indicated a significant difference. RESULTS:AML with minimal fat showed a non-round appearance without a capsule (n = 24, 83%) and prolonged enhancement (n = 20, 69%). The positive and negative predictive values of the non-round appearance without capsule for differentiating AML with minimal fat from RCC were 82.8% and 95.6%, respectively. The positive and negative predictive values of prolonged enhancement were 62.5% and 90.8%, respectively. These features were valuable predictors for AML with minimal fat from RCC. CONCLUSION/CONCLUSIONS:CT images with non-round shape without capsule and prolonged enhancements may be used to differentiate AML with minimal fat from RCC.

BACKGROUND:Although magnetic resonance imaging (MRI) is currently indispensable in the preoperative setting of biopsy-proven prostate cancer, the value of preoperative MRI for predicting prostate cancer-specific mortality (PCSM) is not well known. PURPOSE/OBJECTIVE:To evaluate the value of MRI for predicting PCSM in patients who underwent radical prostatectomy (RP) for localized prostate cancer. MATERIAL AND METHODS/METHODS:A total of 318 patients underwent MRI followed by RP. MRI was assessed for the presence of clinically significant cancer using a five-point Likert scale, where ≥4 was considered positive. Cox proportional hazards regression analyses was used to determine the relationship of preoperative factors with PCSM. PCSM was calculated using the Kaplan-Meier method and compared between factors using the log-rank test. RESULTS:After a median follow-up of 104 months, 11 (3.5%) patients died of prostate cancer. One hundred and four (32.7%) patients had clinically significant prostate cancer on MRI. Univariate analysis revealed that Gleason grade, greatest percentage of involved core length (GPCL), and clinically significant cancer on MRI were significantly related to PCSM (P = 0.001-0.003). Multivariate analysis showed that GPCL (hazard ratio [HR], 1.028; 95% confidence interval [CI], 1.000-1.057; P = 0.048) and clinically significant cancer on MRI (HR, 10.903; 95% CI, 1.287-92.374; P = 0.028) were independent predictors of PCSM. The 5 - and 10-year PCSM rates were 0.6% and 1.3% in patients with GPCL <50% and 5.1% and 8.6% in those with GPCL ≥50% (P = 0.012). Patients without clinically significant cancer on MRI showed 5 - and 10-year PCSM rates of 0% and 0.5%, respectively, whereas those with clinically significant cancer on MRI showed rates of 8% and 14.2%, respectively (P < 0.001). CONCLUSION/CONCLUSIONS:Preoperative MRI and GPCL may be used to predict PCSM after RP.

OBJECTIVE:The objective of our study was to evaluate apparent diffusion coefficient (ADC) and various ADC ratios in determining aggressiveness of prostate cancer. MATERIALS AND METHODS/METHODS:One hundred sixty-five patients with biopsy-proven prostate cancer underwent 3-T MRI followed by radical prostatectomy. ADC and ADC ratios were calculated using the peripheral zone, transition zone, same zone as the tumor, and urinary bladder as references. ADC and ADC ratios were correlated with Gleason score using the Spearman correlation coefficient (ρ) and were compared between low-grade (Gleason score = 6) and high-grade (Gleason score ≥ 7) prostate cancer using the unpaired t test. ROC curves were used to compare diagnostic accuracies of ADC and ADC ratios in determining high-grade prostate cancer. RESULTS:Fifty-six (33.9%) and 109 (66.1%) patients had low- and high-grade prostate cancer, respectively. ADC (ρ = -0.476) and all ADC ratios (ρ = -0.397, -0.412, -0.381, and -0.474, respectively) correlated significantly with Gleason score (p < 0.001) and were significantly lower in patients with high-grade prostate cancer (p < 0.001). For predicting high-grade prostate cancer, tumor ADC and tumor-to-urinary bladder ADC ratio showed the highest AUC (0.794 and 0.790, respectively) but without statistically significant difference (p = 0.803). AUC of tumor ADC (0.794) was statistically significantly higher than those of the tumor-to-peripheral zone and tumor-to-transition zone ADC ratios (0.746, p = 0.039; 0.751, p = 0.027; respectively). AUC of tumor ADC was not statistically significantly higher than that of the tumor-to-tumor zone ADC ratio (0.763, p = 0.193). AUC calculated using the tumor-to-urinary bladder ADC ratio was statistically significantly higher than that using the tumor-to-transition zone ADC ratio (p = 0.028) and marginally higher than that from tumor-to-peripheral zone ADC ratio (p = 0.080). Otherwise, no significant differences were seen in the AUCs (p = 0.193-0.828). CONCLUSION/CONCLUSIONS:Both ADC and various ADC ratios correlated significantly with Gleason score and were significant predictors of high-grade prostate cancer. However, no benefit was found in using ADC ratio over ADC.

OBJECTIVE:The purpose of this study was to evaluate whether routine prostate MRI is adequate for detection of bone metastasis in patients with newly diagnosed prostate cancer. MATERIALS AND METHODS/METHODS:The study included 308 patients with newly diagnosed prostate cancer who underwent prostate MRI. Two radiologists categorized MRI findings as normal, metastasis, or equivocal. Histologic analysis or best valuable comparator based on comprehensive review of images and clinical follow-up studies were used as reference standards. Clinicopathologic variables and MRI findings were compared between patients with and those without bone metastasis by use of chi-square and t tests. The diagnostic performance of prostate MRI for detecting bone metastasis was assessed by ROC analysis. Subgroup analysis was performed for patients at high risk of bone metastasis. RESULTS:Twenty-one (6.8%) patients had bone metastasis. They had significantly higher prostate-specific antigen levels (p = 0.015) and Gleason scores (p < 0.001) than those without bone metastasis. The diagnostic performance of MRI was as follows: sensitivity, 95.2%; specificity, 99-100%; positive predictive value, 86.9-100%; negative predictive value, 99.7%. For 119 patients at high risk of bone metastasis, these values were 95%, 100%, 100%, and 99%. Only 1 of the 21 (4.8%) patients had bone metastasis only in an area not explored with prostate MRI, that is, the thoracic spine. CONCLUSION/CONCLUSIONS:The diagnostic performance of routine prostate MRI for identifying bone metastasis in patients with newly diagnosed prostate cancer was excellent.

Defect engineering has brought about a unique level of control for Si-based semiconductors, leading to the optimization of various opto-electronic properties and devices. With regard to perovskite transition metal oxides, O vacancies have been a key ingredient in defect engineering, as they play a central role in determining the crystal field and consequent electronic structure, leading to important electronic and magnetic phase transitions. Therefore, experimental approaches toward understanding the role of defects in complex oxides have been largely limited to controlling O vacancies. In this study, we report on the selective formation of different types of elemental vacancies and their individual roles in determining the atomic and electronic structures of perovskite SrTiO3 (STO) homoepitaxial thin films fabricated by pulsed laser epitaxy. Structural and electronic transitions have been achieved via selective control of the Sr and O vacancy concentrations, respectively, indicating a decoupling between the two phase transitions. In particular, O vacancies were responsible for metal-insulator transitions, but did not influence the Sr vacancy induced cubic-to-tetragonal structural transition in epitaxial STO thin film. The independent control of multiple phase transitions in complex oxides by exploiting selective vacancy engineering opens up an unprecedented opportunity toward understanding and customizing complex oxide thin films.

BACKGROUND:Exophytic renal angiomyolipoma and liposarcoma are two representative tumors in the retroperitoneum with fatty components that have potential to be misdiagnosed with each other. PURPOSE/OBJECTIVE:To compare the computed tomography (CT) findings of exophytic renal angiomyolipoma and perirenal liposarcoma. MATERIAL AND METHODS/METHODS:Fourteen and 16 cases with histologically-proven exophytic renal angiomyolipoma and perirenal liposarcoma, respectively, with preoperative CT from January 2000 to December 2013 were reviewed by two radiologists blinded to the clinical and pathological findings for an array of CT findings. These findings were compared between exophytic renal angiomyolipoma and perirenal liposarcoma using the Student t-test and Fisher's exact test. RESULTS:Patients with exophytic renal angiomyolipoma were younger (P = 0.001) without differences in sex (P = 1.000). Exophytic renal angiomyolipomas were smaller (P = 0.004) and more commonly showed the following findings: renal parenchymal defect (P < 0.001), multiple linear vessels (P = 0.026), aneurysmal dilatation of intratumoral vessels (P = 0.024), renal parenchymal vascular pedicle (P < 0.001), hemorrhage (P = 0.037), encapsulated margin (P = 0.001), and other intrarenal fatty lesions (P = 0.037). No significant difference was seen in laterality, renal hilar vascular pedicle, non-fatty soft tissue nodule, calcification, or kidney displacement (P = 0.236-1.000). CONCLUSION/CONCLUSIONS:Several CT findings were significantly different between exophytic renal angiomyolipoma and perirenal liposarcoma and may be helpful for differentiating between the two entities when confronting a fatty mass in the perirenal space.

OBJECTIVE:The purpose of this study was to evaluate the added clinical value of PET/MRI compared with conventional contrast-enhanced MDCT (CECT) alone in the evaluation of patients with colorectal cancer. MATERIALS AND METHODS/METHODS:The study population comprised 51 patients with colorectal cancer who underwent (18)F-FDG PET/MRI and CECT within a 90-day interval between October 2012 and August 2013. Two reviewers in consensus evaluated whether PET/MRI added value to CECT for lesion detection and characterization and assessed whether changes in treatment strategies were made. The malignancy probability of each lesion was assessed on a 5-point scale. ROC analyses were performed with histopathologic findings, imaging, and clinical follow-up as the reference standards. Two reviewers evaluated the presence or absence of pulmonary metastatic nodules on PET/MR images that had been detected on chest CT scans. RESULTS:PET/MRI added value to CECT for 14 of 51 patients (27.5%) in terms of better characterization (12/51 [23.5%]) and additional detection (2/51 [3.9%]) of extracolonic lesions. The additional information from PET/MRI led to a change in treatment strategy for 11 of 51 (21.6%) patients. ROC analyses showed that PET/MRI was significantly superior to CT in depicting colorectal cancer (p < 0.05). The rate of detection of pulmonary metastatic nodules with PET/MRI was 52.9% (9/17). CONCLUSION/CONCLUSIONS:Integrated whole-body PET/MRI added value to CECT in the detection of metastatic lesions and characterization of indeterminate lesions, albeit with limited performance for small pulmonary metastatic nodules. The results suggest that PET/MRI may aid in the selection of more appropriate treatment strategies for patients with colorectal cancer.

PURPOSE/OBJECTIVE:The purpose of this study is to compare the MRI features of intestinal and endocervical mucinous borderline ovarian tumors (MBOT). METHODS:Fifty seven and 17 patients with histologically proven intestinal (n = 62) and endocervical (n = 22) MBOT, respectively, underwent preoperative MRI which were reviewed by two radiologists blinded to histology. An array of MRI features and clinical factors (age, cancer antigen 125 [CA-125]) were compared between intestinal and endocervical subtypes using the t test and Chi-square test. Univariate and multivariate logistic regression analyses were performed to evaluate for significant predictors of subtype. RESULTS:There was no significant difference in patient age of intestinal and endocervical MBOT (P = 0.423). CA-125 levels were higher in endocervical MBOT (P = 0.022). Regarding MR features, intestinal MBOT was larger, had more septations, more frequently demonstrated honeycomb loculi, and signal intensity discrepancy while endocervical MBOT was more frequently bilateral with papillary projections (P < 0.05). At multivariate analysis, higher CA-125 (odds ratio [OR] 1.015, P = 0.034) and the presence of papillary projections (OR 11.441, P = 0.024) were the only independent predictive factors of endocervical MBOT. CONCLUSION/CONCLUSIONS:Intestinal and endocervical subtypes of MBOT demonstrated significantly different features on MRI. The presence of papillary projection was the only independent MRI feature predictive of endocervical MBOT.