Implementation of Medical Students as Radiology Reading Room Coordinators.

OBJECTIVE: Effort has been made to minimize the burden of non-interpretive tasks (NITs), in particular by hiring and training non-radiologist support staff as reading room coordinators (RRCs). Our medical center recruited and trained senior medical students from our affiliated school of medicine to work alongside on-call radiology residents as RRCs. METHODS: A 12-month Malpractice Carrier monetary grant was acquired to fund medical students at with the aim to reduce malpractice risk. After the first year, residents were surveyed regarding the impact of the RRCs on perceived on-call efficiency and morale. Furthermore, report turnaround times (TAT) on call shifts that were and were not accompanied by a RRC were compared. RESULTS: 89 % of residents strongly agreed that the RRC improved workflow efficiency, decreased distractions, and felt less stressed during the call shift when the RRC was on duty. 78 % strongly agreed to be more likely to contact a referring clinician when the RRC was able to help coordinate. The mean TAT in the presence of a RRC was 36.8 min, and the mean TAT in the absence of a RRC was 36.9 min DISCUSSION: After hiring medical students to assist on-call radiology residents with noninterpretive tasks, residents reported subjective indicators of program success, but average report turnaround time was unaffected. Nevertheless, we predict that this type of program will continue to grow among academic radiology departments, though additional research is required to evaluate national trends and impacts on radiologist productivity and well-being.

Benign and Malignant Ovarian Teratomas: Multimodality Imaging Findings With Histopathologic Correlation.

ABSTRACT: The purpose of this article is to provide a comprehensive review of the imaging findings along with histopathologic correlation of mature (benign) teratomas and malignant ovarian teratomas, which include both immature teratomas and malignant degeneration of mature teratomas. The radiologist's ability to provide an accurate diagnosis plays an essential role in guiding the interdisciplinary care of patients with malignant teratomas and improving their outcomes.

Periumbilical Anatomy of Scarpa's Fascia: Rationale Behind a "Modified Scarpa's" Abdominal Closure Technique.

BACKGROUND: Intraoperative observation of Scarpa's fascia (SF) has suggested attenuation in the periumbilical region. This study's purpose was to objectively evaluate SF anatomy in the periumbilical region and assess clinical outcomes of a novel, modified SF closure technique of transverse abdominal wall incisions that only reapproximates SF where it is definitively present. METHODS: Women were identified who had undergone abdominal magnetic resonance (MR) angiography before their abdominal-based autologous breast reconstruction that used the modified SF closure technique. Statistical analysis of SF presentation on the MR images was performed. Intraoperative measurements from dissected panniculectomy specimens were used to validate MR analysis. Donor site complications were recorded in patients undergoing modified SF closure. RESULTS: Sixty-six patients were included in the retrospective MR imaging analysis; this revealed an average attenuation of SF of 4.7 cm (SEM = 0.25 cm), 4.5 cm (SEM = 0.23 cm), 4.6 cm (SEM = 0.23 cm), and 4.2 cm (SEM = 0.22 cm) to the left of, right of, cranial to, and caudal to the umbilicus, respectively. The mean surface area of radiologic SF absence was 56.3 cm 2 (SEM = 3.57 cm 2 ). There was a significant difference in SF presentation based on patient age ( P = 0.013) and body mass index ( P = 0.005). Five of the 66 patients (7.6%) experienced abdominal closure site complications. CONCLUSIONS: This study objectively confirms that there is attenuation of SF in the periumbilical region, describes a novel SF closure technique, and provides evidence to support its adoption when closing transverse abdominal wall incisions.

Predicting Patient Demographics From Chest Radiographs With Deep Learning.

BACKGROUND: Deep learning models are increasingly informing medical decision making, for instance, in the detection of acute intracranial hemorrhage and pulmonary embolism. However, many models are trained on medical image databases that poorly represent the diversity of the patients they serve. In turn, many artificial intelligence models may not perform as well on assisting providers with important medical decisions for underrepresented populations. PURPOSE: Assessment of the ability of deep learning models to classify the self-reported gender, age, self-reported ethnicity, and insurance status of an individual patient from a given chest radiograph. METHODS: Models were trained and tested with 55,174 radiographs in the MIMIC Chest X-ray (MIMIC-CXR) database. External validation data came from two separate databases, one from CheXpert and another from a multihospital urban health care system after institutional review board approval. Macro-averaged area under the curve (AUC) values were used to evaluate performance of models. Code used for this study is open-source and available at https://github.com/ai-bias/cxr-bias, and pixelstopatients.com/models/demographics. RESULTS: Accuracy of models to predict gender was nearly perfect, with 0.999 (95% confidence interval: 0.99-0.99) AUC on held-out test data and 0.994 (0.99-0.99) and 0.997 (0.99-0.99) on external validation data. There was high accuracy to predict age and ethnicity, ranging from 0.854 (0.80-0.91) to 0.911 (0.88-0.94) AUC, and moderate accuracy to predict insurance status, with AUC ranging from 0.705 (0.60-0.81) on held-out test data to 0.675 (0.54-0.79) on external validation data. CONCLUSIONS: Deep learning models can predict the age, self-reported gender, self-reported ethnicity, and insurance status of a patient from a chest radiograph. Visualization techniques are useful to ensure deep learning models function as intended and to demonstrate anatomical regions of interest. These models can be used to ensure that training data are diverse, thereby ensuring artificial intelligence models that work on diverse populations.

FlapMap Visual Language System for Vascular Imaging Prior to Microvascular Free Tissue Transfer.

Preoperative vascular imaging has been shown to be beneficial before free tissue transfer procedures, especially for deep inferior epigastric perforator flap breast reconstruction. Although computerized tomography angiography and magnetic resonance angiogram are increasingly frequently performed, there is no standardized method for recording, analyzing, and communicating the vast amount of clinically relevant information that is obtained from these tomographic imaging studies. Herein, the authors propose a new visual language system for preoperative imaging called "FlapMap," which allows for the creation of a clinically actionable, easily understood, and easily communicated single image that aids in preoperative planning before microvascular free tissue transfer.

Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening.

Aims: Clinical scoring systems for pulmonary embolism (PE) screening have low specificity and contribute to computed tomography pulmonary angiogram (CTPA) overuse. We assessed whether deep learning models using an existing and routinely collected data modality, electrocardiogram (ECG) waveforms, can increase specificity for PE detection. Methods and results: We create a retrospective cohort of 21 183 patients at moderate- to high suspicion of PE and associate 23 793 CTPAs (10.0% PE-positive) with 320 746 ECGs and encounter-level clinical data (demographics, comorbidities, vital signs, and labs). We develop three machine learning models to predict PE likelihood: an ECG model using only ECG waveform data, an EHR model using tabular clinical data, and a Fusion model integrating clinical data and an embedded representation of the ECG waveform. We find that a Fusion model [area under the receiver-operating characteristic curve (AUROC) 0.81 ± 0.01] outperforms both the ECG model (AUROC 0.59 ± 0.01) and EHR model (AUROC 0.65 ± 0.01). On a sample of 100 patients from the test set, the Fusion model also achieves greater specificity (0.18) and performance (AUROC 0.84 ± 0.01) than four commonly evaluated clinical scores: Wells' Criteria, Revised Geneva Score, Pulmonary Embolism Rule-Out Criteria, and 4-Level Pulmonary Embolism Clinical Probability Score (AUROC 0.50-0.58, specificity 0.00-0.05). The model is superior to these scores on feature sensitivity analyses (AUROC 0.66-0.84) and achieves comparable performance across sex (AUROC 0.81) and racial/ethnic (AUROC 0.77-0.84) subgroups. Conclusion: Synergistic deep learning of ECG waveforms with traditional clinical variables can increase the specificity of PE detection in patients at least at moderate suspicion for PE.

Lymphoepithelioma-like neoplasm of the biliary tract with 'probable low malignant potential'.

AIMS: Lymphoepithelioma-like carcinomas (LELCs) are uncommon epithelial cancers characteristically showing two distinct components consisting of malignant epithelial cells and prominent dense lymphoid infiltrate. Hepatic LELCs consist of two types, the lymphoepithelioma-like hepatocellular carcinoma and lymphoepithelioma-like cholangiocarcinoma (LEL-CCA), with the latter being strongly associated with Epstein-Barr virus (EBV). METHODS AND RESULTS: We present a series of three cases of intrahepatic biliary EBV-associated LEL tumours in which the biliary epithelial component showed a distinctly benign appearance, instead of the usual malignant epithelial features of a typical CCA or EBV-associated LEL-CCA. In the lesions, the biliary epithelium showed interconnecting glands or cords of cells. All had a very low proliferation (Ki-67) index. Immunohistochemistry for IDH1 and TP53 performed on two cases was negative and molecular tests for EGFR and KRAS gene mutations performed on one were negative. Prognosis was very good in all three cases, with patients alive with no evidence of disease 24-62 months after surgery. Intriguingly, all three cases had co-infection of HBV and EBV. These cases are also discussed in the context of the 63 cases of LEL-CCA available in the literature, with a focus on epidemiology, clinicopathological features and potential research interests. CONCLUSIONS: Based on the distinct clinicopathological features and unique survival benefits, we believe these tumours represent the benign end of the spectrum of EBV-associated lymphoepithelial biliary carcinomas. Whether these tumours require a revision of the current nomenclature to 'lymphoepithelioma-like neoplasm of the biliary tract with probable low malignant potential' will require more detailed analysis with larger case-series.

Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images-A Feasibility Study.

Autosomal dominant polycystic kidney disease (ADPKD) eventually leads to end stage renal disease (ESRD) with an increase in size and number of cysts over time. Progression to ESRD has previously been shown to correlate with total kidney volume (TKV). An accurate and relatively simple method to perform measurement of TKV has been difficult to develop. We propose a semi-automated approach of calculating TKV inclusive of all cysts in ADPKD patients based on b0 images relatively quickly without requiring any calculations or additional MRI time. Our purpose is to evaluate the reliability and reproducibility of our method by raters of various training levels within the environment of an advanced 3D viewer. Thirty patients were retrospectively identified who had DWI performed as part of 1.5T MRI renal examination. Right and left TKVs were calculated by five radiologists of various training levels. Interrater reliability (IRR) was estimated by computing the intraclass correlation (ICC) for all raters. ICC values calculated for TKV measurements between the five raters were 0.989 (95% CI = (0.981, 0.994), p < 0.01) for the right and 0.961 (95% CI = (0.936, 0.979), p < 0.01) for the left. Our method shows excellent intraclass correlation between raters, allowing for excellent interrater reliability.

Utility of measuring serum creatinine to detect renal compromise in ED patients receiving IV contrast-enhanced CT scan.

OBJECTIVE: The objectives of this study are to determine the efficacy of a roster of clinical factors in identifying risk for renal insufficiency in emergency department (ED) patients requiring intravenous contrast-enhanced CT scan (IVCE-CT) and to help mitigate potential for developing contrast-induced nephropathy (CIN). METHODS: A review was conducted of consecutive ED patients who received IVCE-CT during a 4-month period in our urban ED. The values of ED serum creatinine (SCr) performed were tabulated. The medical records of all patients with an elevated SCr (> 1.4 mg/dL) were reviewed to determine and correlate the presence of clinical risk factors for underlying renal insufficiency. RESULTS: During the 4-month study period, there were 2260 consecutive cases who received IVCE-CT; of these, 2250 (99.6%) had concomitant measurement of SCr. Elevated SCr occurred in 141 patients (6.2%); of these, 75 had a SCr > 2 mg/dL. In all, 139/141 (98.6%) with an elevated SCr had an underlying chronic or acute medical condition identified by medical record review which potentially compromised renal function, including chronic renal disease, diabetes mellitus, HIV infection, cancer, hypertension, congestive heart failure, sepsis/septic shock, chronic alcoholism, and sickle cell disease. Two patients with no identified risk factor each had (mildly) elevated SCr; both had a normal SCr measured post-CT scan. The total cost of performing serum basic metabolic panel to measure SCr in all patients during the 4-month study period was $94,500. CONCLUSIONS: Elevated SCr is rarely present in ED patients without recognized risk factors who receive IVCE-CT scan. The vast majority with underlying renal insufficiency are readily identified by a review of the patient's medical history and/or clinical findings. Routine SCr measurement on all ED patients regardless of risk stratification prior to IVCE imaging is neither time nor cost-effective.

Preoperative Evaluation of a Pancreas Mass: Diagnostic Options.

As modern abdominal imaging equipment advances, pancreatic lesion detection improves. Most of these lesions are incidental, and present a conundrum to the clinician and create great anxiety to the patient until a final diagnosis is made. For the practicing physician, the plethora of diagnostic options is overwhelming. The relevant question is, what is the most efficient algorithm to follow and to arrive at a timely and accurate diagnosis. This article presents a logical approach to the initial evaluation of a pancreatic lesion to get the most information possible with the least amount of testing, and to avoid duplicative measures.

Rare Popliteal Venous Aneurysm: A Case Report and Review of the Literature.

Popliteal venous aneurysms (PVAs) are rare and may represent a cause of recurrent pulmonary embolism. We present a case of PVA identified on ultrasound for deep venous thrombosis in a 27-year-old female with popliteal fossa pain. We discuss our recommendations for treatment and present a review of the previously reported cases.

Machine Learning Interface for Medical Image Analysis.

TensorFlow is a second-generation open-source machine learning software library with a built-in framework for implementing neural networks in wide variety of perceptual tasks. Although TensorFlow usage is well established with computer vision datasets, the TensorFlow interface with DICOM formats for medical imaging remains to be established. Our goal is to extend the TensorFlow API to accept raw DICOM images as input; 1513 DaTscan DICOM images were obtained from the Parkinson's Progression Markers Initiative (PPMI) database. DICOM pixel intensities were extracted and shaped into tensors, or n-dimensional arrays, to populate the training, validation, and test input datasets for machine learning. A simple neural network was constructed in TensorFlow to classify images into normal or Parkinson's disease groups. Training was executed over 1000 iterations for each cross-validation set. The gradient descent optimization and Adagrad optimization algorithms were used to minimize cross-entropy between the predicted and ground-truth labels. Cross-validation was performed ten times to produce a mean accuracy of 0.938 ± 0.047 (95 % CI 0.908-0.967). The mean sensitivity was 0.974 ± 0.043 (95 % CI 0.947-1.00) and mean specificity was 0.822 ± 0.207 (95 % CI 0.694-0.950). We extended the TensorFlow API to enable DICOM compatibility in the context of DaTscan image analysis. We implemented a neural network classifier that produces diagnostic accuracies on par with excellent results from previous machine learning models. These results indicate the potential role of TensorFlow as a useful adjunct diagnostic tool in the clinical setting.

Use of Distal Medial Sural Vessels as Recipient Vessels in Free Tissue Transfer.

Background The medial sural vessels have been used extensively as donor vessels in free tissue transfer; however, there is sparse literature detailing their use as recipient vessels. The few existing reports involve small numbers of patients and describe operative approaches that are unnecessarily cumbersome. We explored our experience in free tissue transfer to the medial sural vessels and share a simplified operative approach to this recipient site. Methods A retrospective review was performed of all patients who underwent free tissue transfers to the medial sural vessels between December 2012 and December 2015 at a single institution. Preoperative imaging, operative approach, and technique for microvascular free tissue transfer to the medial sural vessels were reviewed. Postoperative results and complications were also analyzed. Results Using preoperative magnetic resonance angiography (MRA) to image the medial sural vessels and a retrograde perforator dissection technique, we successfully performed free tissue transfer to the distal medial sural vessels in 20 of 21 patients, representing the largest series reported. Postoperatively, 13 of 21 patients underwent MRA with a patent vascular pedicle demonstrated in all. There were no postoperative complications or resultant morbidities. Conclusion Surgeons should be aware of the medial sural vessels as a valuable recipient option for free tissue transfer to the lower extremity.

Heterotopic vascularized lymph node transfer to the medial calf without a skin paddle for restoration of lymphatic function: Proof of concept.

BACKGROUND: The use of heterotopic vascularized lymph node transfer (HVLNT) for the treatment of lower extremity lymphedema is still evolving. Current techniques, either place the lymph nodes in the thigh without a skin paddle or at the ankle requiring an unsightly and often bulky skin paddle for closure. We explored the feasibility of doing a below-knee transfer without a skin paddle using the medial sural vessels as recipient vessels and report our experience in 21 patients. METHODS: A retrospective review of all patients who underwent HVLNT to the medial calf was performed. Postoperative magnetic resonance angiography (MRA) and lymphoscintigraphy (LS) were analyzed to assess lymph node viability and function after transfer. RESULTS: Twenty-one patients underwent HVLNT to the medial calf. Postoperative imaging was performed at an average of 11 months after surgery. Thirteen patients had postoperative MRA, of whom 12 demonstrated viable lymph nodes. Seven patients underwent postoperative LS, of whom three demonstrated uptake in the transferred nodes. In the other four patients, the injectate failed to reach the level of the proximal calf. CONCLUSION: We provide proof of concept that HVLNT to the lower leg using the medial sural vessels without a skin paddle can result in viable and functional lymph nodes in the setting of lower extremity lymphedema. J. Surg. Oncol. 2017;115:90-95. © 2016 Wiley Periodicals, Inc.

Patients Want to Meet With Imaging Experts.

PURPOSE: The evolving health care landscape demands a multidisciplinary approach to care and increased emphasis on patient engagement. Radiologists may play an important role in this respect, by improving patient agency and understanding through direct patient interaction. The purpose of this study is to assess patient preferences and perceptions regarding direct communication with radiologists, focusing on a medically underserved demographic. METHODS: Our institutional review board approved this HIPAA-compliant study. English- and/or Spanish-speaking adults undergoing imaging studies across two tertiary-care hospitals and a busy outpatient center were surveyed over a consecutive two-month period, to assess knowledge of the role of a radiologist, interest in, and perceived benefits of reviewing examination results with imaging experts. RESULTS: A total of 628 surveys were completed: 20% of total respondents accurately identified the role of radiologists; 28% identified radiologists as doctors. A total of 68% of respondents expressed an interest in receiving imaging results immediately, or whenever results became available, regardless of when referring physicians received results. An interest in reviewing imaging results with an expert was indicated by 81% of respondents; 88% anticipated that reviewing imaging results with an expert would be beneficial. Although 58% of respondents indicated that they might be willing to pay out of pocket for such a service, 50% selected $0 when asked to indicate an amount. CONCLUSIONS: Although most patients do not know the role of radiologists, they want immediate results, and perceive value in consulting directly with imaging experts.

Non-invasive prediction of portal pressures using CT and MRI in chronic liver disease.

PURPOSE: To assess the diagnostic value of a fast scoring system based on non-invasive cross-sectional imaging to predict portal hypertension (PH) in patients with liver disease. METHODS: In this retrospective study, we included patients who underwent contrast-enhanced CT or MRI within 3 months of hepatic venous pressure gradient (HVPG) measurements. Two independent observers provided an imaging-based scoring system (max of 9): number of variceal sites, volume of ascites, and spleen size. ROC analysis was performed to predict the presence of PH (HVPG ≥ 5 mmHg) and clinically significant PH (HVPG ≥ 10 mmHg). RESULTS: Our cohort consists of 143 patients with mean HVPG of 13.1 ± 2.0 mmHg. Mean PH scores from the two observers were 3.9 ± 2.7 and 3.2 ± 2.5. There was a significant correlation between PH score and HVPG (r = 0.58, p < 0.001 for both observers) with high inter-observer agreement (kappa 0.71). AUCs of 0.78-0.76 and 0.83-0.81 were observed for diagnosing HVPG ≥ 5 mmHg and HVPG ≥ 10 mmHg, respectively, for observers 1 and 2. CONCLUSIONS: We have developed a fast PH imaging-based composite score, which could be used for non-invasive detection of clinically significant PH.

Modern Perforator Flap Imaging with High-Resolution Blood Pool MR Angiography.

Advances in microsurgical techniques have improved autologous reconstructions by providing new donor site options while decreasing donor site morbidity. Various preoperative imaging modalities have been studied to assess the relevant vascular anatomic structures, with magnetic resonance (MR) angiography traditionally lagging behind computed tomography (CT) with respect to spatial resolution. Blood pool MR angiography with gadofosveset trisodium, a gadolinium-based contrast agent with extended intravascular retention, has allowed longer multiplanar acquisitions with resultant voxel sizes similar to or smaller than those of CT and with improved signal-to-noise ratio and soft-tissue contrast while maintaining the ability to depict flow with time-resolved imaging. The resultant vascular detail enables precise evaluation of the relevant vascular anatomic structures, including the vessel course, size, and branching pattern, as well as the venous arborization pattern. In addition, any architectural distortion, vessel alteration, or injury from prior surgery can be depicted. The reporting radiologist should be aware of pertinent and incidental findings relevant to the planned surgery and the patient's disease so that he or she can assist the microsurgeon in flap design as a member of the multidisciplinary team. Given the lack of ionizing radiation exposure in patients who often have an elevated body mass index, high-spatial-resolution blood pool MR angiography has become the imaging reference standard for the preoperative assessment of perforator flap vascular and soft-tissue morphology in our practice.

Comparison of comfort and image quality with two endorectal coils in MRI of the prostate.

PURPOSE: To prospectively evaluate comfort and image quality of prostate MRI using two different endorectal (ER) coils. MATERIALS AND METHODS: Thirty consecutive patients were prospectively randomized to receive prostate MRI using either a prostate endocoil (PEC) or colorectal endocoil (CEC). Patients and operators were surveyed with regard to endocoil placement. Four Body MRI trained radiologists rated image quality for each examination and additional selected blinded coronal T2 weighted images. RESULTS: Average patient discomfort (on a 0-10 pain scale) was greater with the PEC (5.0 for PEC and 2.7 for CEC) with a statistically significant difference (P < 0.03). Ability to identify the neurovascular bundle (NVB) was 5.8 times more likely to be rated excellent with the CEC compared with the PEC (P < 0.003). Image quality with CEC was 3.5 times more highly rated (P < 0.04). In particular, signal-to-noise ratio (SNR) with the CEC was 3.0 times more highly rated than with the PEC (P < 0.05). CONCLUSION: The smaller CEC was better tolerated by patients than the traditional PEC, and resulted in at least equivalent, and in some instances improved image quality. This may result in fewer aborted cases and lead to decreased procedural intolerance to endorectal coil MRI.

The use of magnetic resonance angiography in vascularized groin lymph node transfer: an anatomic study.

Vascularized groin lymph node transfer (VGLNT) has been successfully used to treat lymphedema. However, lack of familiarity with the inguinal node anatomy and concerns regarding donor site morbidity have limited its widespread use. The purpose of this study was to use magnetic resonance angiography (MRA) to clarify the inguinal anatomy and provide a reliable method for identifying the location of the superficial transverse inguinal lymph nodes. In this study MRA was used to evaluate the superficial inguinal lymph nodes in 117 patients. Coordinates of lymph nodes were plotted relative to an axis from the anterior superior iliac spine (ASIS) to the pubic tubercle (PT). The nodes were also plotted relative to the superficial circumflex iliac vein (SCIV) and superficial inferior epigastric vein (SIEV). A total of 1,938 lymph nodes were identified. These lymph nodes were concentrated on one-third the distance from the PT toward the ASIS and 3 cm perpendicularly below this line. About 67% of the superficial inguinal nodes were located within the bifurcation of the SIEV and SCIV. The results from this study provide useful guidelines for locating lymph nodes targeted for VGLNT.