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Dynamic contrast-enhanced MRI of the prostate: An intraindividual assessment of the effect of temporal resolution on qualitative detection and quantitative analysis of histopathologically proven prostate cancer

Ream, Justin M; Doshi, Ankur M; Dunst, Diane; Parikh, Nainesh; Kong, Max X; Babb, James S; Taneja, Samir S; Rosenkrantz, Andrew B
PURPOSE: To assess the effects of temporal resolution (RT ) in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) on qualitative tumor detection and quantitative pharmacokinetic parameters in prostate cancer. MATERIALS AND METHODS: This retrospective Institutional Review Board (IRB)-approved study included 58 men (64 +/- 7 years). They underwent 3T prostate MRI showing dominant peripheral zone (PZ) tumors (24 with Gleason >/= 4 + 3), prior to prostatectomy. Continuously acquired DCE utilizing GRASP (Golden-angle RAdial Sparse Parallel) was retrospectively reconstructed at RT of 1.4 sec, 3.7 sec, 6.0 sec, 9.7 sec, and 14.9 sec. A reader placed volumes-of-interest on dominant tumors and benign PZ, generating quantitative pharmacokinetic parameters (ktrans , ve ) at each RT . Two blinded readers assessed each RT for lesion presence, location, conspicuity, and reader confidence on a 5-point scale. Data were assessed by mixed-model analysis of variance (ANOVA), generalized estimating equation (GEE), and receiver operating characteristic (ROC) analysis. RESULTS: RT did not affect sensitivity (R1all : 69.0%-72.4%, all Padj = 1.000; R1GS>/=4 + 3 : 83.3-91.7%, all Padj = 1.000; R2all : 60.3-69.0%, all Padj = 1.000; R2GS>/=4 + 3 : 58.3%-79.2%, all Padj = 1.000). R1 reported greater conspicuity of GS >/= 4 + 3 tumors at RT of 1.4 sec vs. 14.9 sec (4.29 +/- 1.23 vs. 3.46 +/- 1.44; Padj = 0.029). No other tumor conspicuity pairwise comparison reached significance (R1all : 2.98-3.43, all Padj >/= 0.205; R2all : 2.57-3.19, all Padj >/= 0.059; R1GS>/=4 + 3 : 3.46-4.29, all other Padj >/= 0.156; R2GS>/=4 + 3 : 2.92-3.71, all Padj >/= 0.439). There was no effect of RT on reader confidence (R1all : 3.17-3.34, all Padj = 1.000; R2all : 2.83-3.19, all Padj >/= 0.801; R1GS>/=4 + 3 : 3.79-4.21, all Padj = 1.000; R2GS>/=4 + 3 : 3.13-3.79, all Padj = 1.000). ktrans and ve of tumor and benign tissue did not differ across RT (all adjusted P values [Padj ] = 1.000). RT did not significantly affect area under the curve (AUC) of Ktrans or ve for differentiating tumor from benign (all Padj = 1.000). CONCLUSION: Current PI-RADS recommendations for RT of 10 seconds may be sufficient, with further reduction to the stated PI-RADS preference of RT
PMCID:5538355
PMID: 27649481
ISSN: 1522-2586
CID: 2254782

Strengths and Deficiencies in the Content of US Radiology Private Practices' Websites

Johnson, Evan J; Doshi, Ankur M; Rosenkrantz, Andrew B
PURPOSE: The Internet provides a potentially valuable mechanism for radiology practices to communicate with patients and enhance the patient experience. The aim of this study was to assess the websites of US radiology private practices, with attention to the frequency of content of potential patient interest. METHODS: The 50 largest private practice radiology facilities in the United States were identified from RadiologyBusiness.com. Websites were reviewed for information content and functionality. RESULTS: Content regarding radiologists' names, medical schools, residencies, fellowships, photographs, and board certification status; contact for billing questions; and ability to make online payments was present on 80% to 98% of sites. Content regarding examination preparation, contrast use, examination duration, description of examination experience, scheduling information, directions, privacy policy, radiologists' role in interpretation, and ACR accreditation was present on 60% to 78%. Content regarding accepted insurers, delivery of results to referrers, report turnaround times, radiologists' years of experience, radiation safety, and facility hours was present on 40% to 58%. Content regarding technologist certification, registration forms, instructions for requesting a study on disc, educational videos, and patient testimonials was present on 20% to 38%. Content regarding examination prices, patient satisfaction scores, peer review, online scheduling, online report and image access, and parking was present on <20%. CONCLUSIONS: Radiology practices' websites most frequently provided information regarding their radiologists' credentials, as well as billing and payment options. Information regarding quality, safety, and the examination experience, as well as non-payment-related online functionality, was less common. These findings regarding the most common deficiencies may be useful for radiology practices in expanding their websites' content, thereby improving communication and potentially the patient experience.
PMID: 27815055
ISSN: 1558-349x
CID: 2304232

Detection of prostate cancer local recurrence following radical prostatectomy: assessment using a continuously acquired radial golden-angle compressed sensing acquisition

Rosenkrantz, Andrew B; Khasgiwala, Anunita; Doshi, Ankur M; Ream, Justin M; Taneja, Samir S; Lepor, Herbert
PURPOSE: To compare image quality and diagnostic performance for detecting local recurrence (LR) of prostate cancer after radical prostatectomy (RP) between standard dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and a high spatiotemporal resolution, continuously acquired Golden-angle RAdial Sparse Parallel acquisition employing compressed sensing reconstruction ("GRASP"). METHODS: A search was conducted for prostate MRI examinations performed in patients with PSA >/=0.2 ng/mL after RP in whom follow-up evaluation allowed classification as positive (>/=50% PSA reduction after pelvic radiation or positive biopsy) or negative (<50% PSA reduction after pelvic radiation; spontaneous PSA normalization) for LR, yielding 13 patients with standard DCE (11 LR+) and 12 with GRASP (10 LR+). Standard DCE had voxel size 3.0 x 1.9 x 1.9 mm and temporal resolution 5.5 s. GRASP had voxel size 1.0 x 1.1 x 1.1 cm and was retrospectively reconstructed at 2.3 s resolution. Two radiologists evaluated DCE sequences for image quality measures (1-5 scale) and the presence of LR. RESULTS: GRASP achieved higher scores than standard DCE from both readers (p < 0.001-0.136) for anatomic clarity (R1: 4.4 +/- 0.8 vs. 2.8 +/- 0.67 R2: 4.8 +/- 0.5 vs. 3.2 +/- 0.6), sharpness (3.6 +/- 0.9 vs. 2.5 +/- 0.7; 4.6 +/- 0.5 vs. 2.6 +/- 0.5), confidence in interpretation (3.8 +/- 0.8 vs. 3.1 +/- 0.9; 3.8 +/- 1.0 vs. 3.1 +/- 1.2), and conspicuity of detected lesions (4.7 +/- 0.5 vs. 3.8 +/- 1.1; 4.5 +/- 0.5 vs. 3.8 +/- 1.0). For detecting LR, GRASP also achieved higher sensitivity (70% vs. 36%; 80% vs. 45%), specificity (R1 and R2: 100% vs. 50%), and accuracy (75% vs. 38%; 83% vs. 46%) for both readers. CONCLUSION: Although requiring larger studies, high spatiotemporal resolution GRASP achieved substantially better image quality and diagnostic performance than standard DCE for detecting LR in patients with elevated PSA after prostatectomy.
PMCID:5538362
PMID: 27576605
ISSN: 2366-0058
CID: 2232502

Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals

Rosenkrantz, Andrew B; Doshi, Ankur M; Ginocchio, Luke A; Aphinyanaphongs, Yindalon
RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article features. MATERIALS AND METHODS: We downloaded from PubMed the title, abstract, and medical subject heading terms for 10,065 articles published in 25 general radiology journals in 2012 and 2013. Three machine-learning models were applied to predict the top 10% of included articles in terms of the number of citations to the article in 2014 (reflecting the 2-year time window in conventional impact factor calculations). The model having the highest area under the curve was selected to derive a list of article features (words) predicting high citation volume, which was iteratively reduced to identify the smallest possible core feature list maintaining predictive power. Overall themes were qualitatively assigned to the core features. RESULTS: The regularized logistic regression (Bayesian binary regression) model had highest performance, achieving an area under the curve of 0.814 in predicting articles in the top 10% of citation volume. We reduced the initial 14,083 features to 210 features that maintain predictivity. These features corresponded with topics relating to various imaging techniques (eg, diffusion-weighted magnetic resonance imaging, hyperpolarized magnetic resonance imaging, dual-energy computed tomography, computed tomography reconstruction algorithms, tomosynthesis, elastography, and computer-aided diagnosis), particular pathologies (prostate cancer; thyroid nodules; hepatic adenoma, hepatocellular carcinoma, non-alcoholic fatty liver disease), and other topics (radiation dose, electroporation, education, general oncology, gadolinium, statistics). CONCLUSIONS: Machine learning can be successfully applied to create specific feature-based models for predicting articles likely to achieve high influence within the radiological literature.
PMID: 27692588
ISSN: 1878-4046
CID: 2273812

Assessing the Content of YouTube Videos in Educating Patients Regarding Common Imaging Examinations

Rosenkrantz, Andrew B; Won, Eugene; Doshi, Ankur M
PURPOSE: To assess the content of currently available YouTube videos seeking to educate patients regarding commonly performed imaging examinations. METHODS: After initial testing of possible search terms, the first two pages of YouTube search results for "CT scan," "MRI," "ultrasound patient," "PET scan," and "mammogram" were reviewed to identify educational patient videos created by health organizations. Sixty-three included videos were viewed and assessed for a range of features. RESULTS: Average views per video were highest for MRI (293,362) and mammography (151,664). Twenty-seven percent of videos used a nontraditional format (eg, animation, song, humor). All videos (100.0%) depicted a patient undergoing the examination, 84.1% a technologist, and 20.6% a radiologist; 69.8% mentioned examination lengths, 65.1% potential pain/discomfort, 41.3% potential radiation, 36.5% a radiology report/results, 27.0% the radiologist's role in interpretation, and 13.3% laboratory work. For CT, 68.8% mentioned intravenous contrast and 37.5% mentioned contrast safety. For MRI, 93.8% mentioned claustrophobia, 87.5% noise, 75.0% need to sit still, 68.8% metal safety, 50.0% intravenous contrast, and 0.0% contrast safety. For ultrasound, 85.7% mentioned use of gel. For PET, 92.3% mentioned radiotracer injection, 61.5% fasting, and 46.2% diabetic precautions. For mammography, unrobing, avoiding deodorant, and possible additional images were all mentioned by 63.6%; dense breasts were mentioned by 0.0%. CONCLUSIONS: Educational patient videos on YouTube regarding common imaging examinations received high public interest and may provide a valuable patient resource. Videos most consistently provided information detailing the examination experience and less consistently provided safety information or described the presence and role of the radiologist.
PMID: 27570129
ISSN: 1558-349x
CID: 2232402

Three-dimensional MR Cholangiopancreatography in a Breath Hold with Sparsity-based Reconstruction of Highly Undersampled Data

Chandarana, Hersh; Doshi, Ankur M; Shanbhogue, Alampady; Babb, James S; Bruno, Mary T; Zhao, Tiejun; Raithel, Esther; Zenge, Michael O; Li, Guobin; Otazo, Ricardo
Purpose To develop a three-dimensional breath-hold (BH) magnetic resonance (MR) cholangiopancreatographic protocol with sampling perfection with application-optimized contrast using different flip-angle evolutions (SPACE) acquisition and sparsity-based iterative reconstruction (SPARSE) of prospectively sampled 5% k-space data and to compare the results with conventional respiratory-triggered (RT) acquisition. Materials and Methods This HIPAA-compliant prospective study was institutional review board approved. Twenty-nine patients underwent conventional RT SPACE and BH-accelerated SPACE acquisition with 5% k-space sampling at 3 T. Spatial resolution and other parameters were matched when possible. BH SPACE images were reconstructed by enforcing joint multicoil sparsity in the wavelet domain (SPARSE-SPACE). Two board-certified radiologists independently evaluated BH SPARSE-SPACE and RT SPACE images for image quality parameters in the pancreatic duct and common bile duct by using a five-point scale. The Wilcoxon signed-rank test was used to compare BH SPARSE-SPACE and RT SPACE images. Results Acquisition time for BH SPARSE-SPACE was 20 seconds, which was significantly (P < .001) shorter than that for RT SPACE (mean +/- standard deviation, 338.8 sec +/- 69.1). Overall image quality scores were higher for BH SPARSE-SPACE than for RT SPACE images for both readers for the proximal, middle, and distal pancreatic duct, but the difference was not statistically significant (P > .05). For reader 1, distal common bile duct scores were significantly higher with BH SPARSE-SPACE acquisition (P = .036). More patients had acceptable or better overall image quality (scores >/= 3) with BH SPARSE-SPACE than with RT SPACE acquisition, respectively, for the proximal (23 of 29 [79%] vs 22 of 29 [76%]), middle (22 of 29 [76%] vs 18 of 29 [62%]), and distal (20 of 29 [69%] vs 13 of 29 [45%]) pancreatic duct and the proximal (25 of 28 [89%] vs 22 of 28 [79%]) and distal (25 of 28 [89%] vs 24 of 28 [86%]) common bile duct. Conclusion BH SPARSE-SPACE showed similar or superior image quality for the pancreatic and common duct compared with that of RT SPACE despite 17-fold shorter acquisition time. (c) RSNA, 2016.
PMCID:4949145
PMID: 26982678
ISSN: 1527-1315
CID: 2031992

Retrospective Assessment of Histogram-Based Diffusion Metrics for Differentiating Benign and Malignant Endometrial Lesions

Kierans, Andrea S; Doshi, Ankur M; Dunst, Diane; Popiolek, Dorota; Blank, Stephanie V; Rosenkrantz, Andrew B
OBJECTIVE: Our study aimed to retrospectively evaluate the utility of volumetric histogram-based diffusion metrics in differentiating benign from malignant endometrial abnormalities. METHODS: A total of 54 patients underwent pelvic magnetic resonance imaging with diffusion-weighted imaging before endometrial tissue diagnosis. Two radiologists placed volumes of interest on the apparent diffusion coefficient (ADC) map encompassing the entire endometrium and focal endometrial lesions. The mean ADC, percentile ADC values, kurtosis, skewness, and entropy of ADC were compared between benign and malignant abnormalities. RESULTS: In premenopausal patients, significant independent predictors of malignancy were whole-endometrium analysis for R1, 10th to 25th ADC percentile (P = 0.012); whole-endometrium analysis for R2, mean ADC (P = 0.001) and skewness (P = 0.004); focal lesion analysis for R1, skewness (P = 0.045); focal lesion analysis for R2, 10th to 25th ADC percentile (P
PMID: 27224233
ISSN: 1532-3145
CID: 2115002

Public transparency Web sites for radiology practices: prevalence of price, clinical quality, and service quality information

Rosenkrantz, Andrew B; Doshi, Ankur M
PURPOSE: To assess information regarding radiology practices on public transparency Web sites. METHODS: Eight Web sites comparing radiology centers' price and quality were identified. Web site content was assessed. RESULTS: Six of eight Web sites reported examination prices. Other reported information included hours of operation (4/8), patient satisfaction (2/8), American College of Radiology (ACR) accreditation (3/8), on-site radiologists (2/8), as well as parking, accessibility, waiting area amenities, same/next-day reports, mammography follow-up rates, examination appropriateness, radiation dose, fellowship-trained radiologists, and advanced technologies (1/8 each). CONCLUSION: Transparency Web sites had a preponderance of price (and to a lesser extent service quality) information, risking fostering price-based competition at the expense of clinical quality.
PMID: 27133699
ISSN: 1873-4499
CID: 2100792

Most Common Publication Types in Radiology Journals: What is the Level of Evidence?

Rosenkrantz, Andrew B; Pinnamaneni, Niveditha; Babb, James S; Doshi, Ankur M
RATIONALE AND OBJECTIVES: This study aimed to assess the most common publication types in radiology journals, as well as temporal trends and association with citation frequency. MATERIALS AND METHODS: PubMed was searched to extract all published articles having the following "Publication Type" indices: "validation studies," "meta-analysis," "clinical trial," "comparative study," "evaluation study," "guideline," "multicenter study," "randomized study," "review," "editorial," "case report," and "technical report." The percentage of articles within each category published within clinical radiology journals was computed. Normalized percentages for each category were also computed on an annual basis. Citation counts within a 2-year window following publication were obtained using Web of Science. Overall trends were assessed. RESULTS: Publication types with the highest fraction in radiology journals were technical reports, evaluation studies, and case reports (4.8% to 5.8%). Publication types with the lowest fraction in radiology journals were randomized trials, multicenter studies, and meta-analyses (0.8% to 1.5%). Case reports showed a significant decrease since 1999, with accelerating decline since 2007 (P = 0.002). Publication types with highest citation counts were meta-analyses, guidelines, and multicenter studies (8.1 +/- 10.7 to 12.9 +/- 5.1). Publication types with lowest citation counts were case reports, editorials, and technical reports (1.4 +/- 2.4 to 2.9 +/- 4.3). The representation in radiology journals and citation frequency of the publication types showed weak inverse correlation (r = -0.372). CONCLUSIONS: Radiology journals have historically had relatively greater representation of less frequently cited publication types. Various strategies, including methodological training, multidisciplinary collaboration, national support networks, as well as encouragement of higher level of evidence by funding agencies and radiology journals themselves, are warranted to improve the impact of radiological research.
PMID: 26898526
ISSN: 1878-4046
CID: 1965302

A Multidisciplinary Approach to Improving Appropriate Follow-Up Imaging of Ovarian Cysts: A Quality Improvement Initiative

Kim, Danny C; Bennett, Genevieve L; Somberg, Molly; Campbell, Naomi; Gaing, Byron; Recht, Michael P; Doshi, Ankur M
PURPOSE: Incidental ovarian cysts are frequently detected on imaging. Despite published follow-up consensus statements, there remains variability in radiologist follow-up recommendations and clinician practice patterns. The aim of this study was to evaluate if collaborative ovarian cyst management recommendations and a radiologist decision support tool can improve adherence to follow-up recommendations. METHODS: Gynecologic oncologists and abdominal radiologists convened to develop collaborative institutional recommendations for the management of incidental, asymptomatic simple ovarian cysts detected on ultrasound, CT, and MRI. The recommendations were developed by modifying the published consensus recommendations developed by the Society of Radiologists in Ultrasound on the basis of local practice patterns and the experience of the group members. A less formal process involved the circulation of the published consensus recommendations, followed by suggestions for revisions and subsequent consensus, in similar fashion to the ACR Incidental Findings Committee II. The recommendations were developed by building on the published work of experienced groups to provide the authors' medical community with a set of recommendations that could be endorsed by both the Department of Gynecology and the Department of Radiology to provide supportive guidance to the clinicians who manage incidental ovarian cysts. The recommendations were integrated into a radiologist decision support tool accessible from the dictation software. Nine months after tool launch, institutional review board approval was obtained, and radiology reports mentioning ovarian cysts in the prior 34 months were retrospectively reviewed. For cysts detected on ultrasound, adherence rates to Society of Radiologists in Ultrasound recommendations were calculated for examinations before tool launch and compared with adherence rates to the collaborative institutional recommendations after tool launch. Additionally, electronic medical records were reviewed to determine the follow-up chosen by the clinician. RESULTS: For cysts detected on ultrasound, radiologist adherence to recommendations improved from 50% (98 of 197) to 80% (111 of 139) (P < .05). Overmanagement decreased from 34% (67 of 197) to 10% (14 of 139) (P < .05). A recommendation was considered "overmanaged" if the radiologist recommended follow-up when it was not indicated or if the recommended follow-up time was at a shorter interval than indicated. Clinician adherence to radiologist recommendations showed statistically nonsignificant improvement from 49% (36 of 73) to 57% (27 of 47) (P = .5034). CONCLUSIONS: Management recommendations developed through collaboration with clinicians may help standardize follow-up of ovarian cysts and reduce overutilization.
PMID: 26953645
ISSN: 1558-349x
CID: 2024272