Deep learning to detect left ventricular structural abnormalities in chest X-rays.

BACKGROUND AND AIMS: Early identification of cardiac structural abnormalities indicative of heart failure is crucial to improving patient outcomes. Chest X-rays (CXRs) are routinely conducted on a broad population of patients, presenting an opportunity to build scalable screening tools for structural abnormalities indicative of Stage B or worse heart failure with deep learning methods. In this study, a model was developed to identify severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) using CXRs. METHODS: A total of 71 589 unique CXRs from 24 689 different patients completed within 1 year of echocardiograms were identified. Labels for SLVH, DLV, and a composite label indicating the presence of either were extracted from echocardiograms. A deep learning model was developed and evaluated using area under the receiver operating characteristic curve (AUROC). Performance was additionally validated on 8003 CXRs from an external site and compared against visual assessment by 15 board-certified radiologists. RESULTS: The model yielded an AUROC of 0.79 (0.76-0.81) for SLVH, 0.80 (0.77-0.84) for DLV, and 0.80 (0.78-0.83) for the composite label, with similar performance on an external data set. The model outperformed all 15 individual radiologists for predicting the composite label and achieved a sensitivity of 71% vs. 66% against the consensus vote across all radiologists at a fixed specificity of 73%. CONCLUSIONS: Deep learning analysis of CXRs can accurately detect the presence of certain structural abnormalities and may be useful in early identification of patients with LV hypertrophy and dilation. As a resource to promote further innovation, 71 589 CXRs with adjoining echocardiographic labels have been made publicly available.

Heroin Inhalation Leukoencephalopathy: An Overlooked Entity in the Opioid Epidemic.

Heroin inhalation leukoencephalopathy (HIL) is a rare complication of vaporized heroin inhalation leading to white matter degeneration resulting in a range of neurologic disturbances including softened speech, cerebellar ataxia, behavioral changes, cerebellar gait abnormalities, and even respiratory failure resulting in death in the most severe cases. Magnetic resonance imaging (MRI) most commonly demonstrates bilateral hyperintensities affecting the basal ganglia, periventricular white matter, and cerebellum. In this case report, we present a relatively mild case of HIL in a young female patient to describe the characteristic challenges associated with the condition's presentation, diagnosis, and treatment. While healthcare workers everywhere are addressing a complex and ever-changing opioid epidemic, we strive to raise awareness about HIL as only one of a variety of complications resulting from opioid use disorder.

Call-Fleming syndrome: headache in a 16-year-old girl.

BACKGROUND: Call-Fleming syndrome, also known as reversible cerebral vasoconstriction syndrome, is an important cause of severe headache characterized by segmental constriction of cerebral arteries in multiple vascular distributions. It is commonly described in adults, with a female predominance. PATIENT: We report a case of a 16-year-old girl with history of anxiety, attention deficit hyperactivity disorder, and migraines on several medications presenting with 2 weeks of worsening headaches. RESULTS: Cranial computed tomography was normal, but magnetic resonance imaging revealed cortical subarachnoid hemorrhage. Follow-up imaging demonstrated extensive vasoconstriction of small- to medium-sized cerebral arteries. Sertraline and methylphenidate were discontinued, and nifedipine was started. Symptoms rapidly improved, and repeat angiography at 2 months showed no vasoconstriction. CONCLUSIONS: Call-Fleming syndrome is an important cause of thunderclap headache and should be considered in the pediatric population, especially in the setting of certain medication usage and other known risk factors.

Role of diffusion tensor imaging in resection of thalamic juvenile pilocytic astrocytoma.

OBJECT: The choice of surgical approach during resection of a thalamic juvenile pilocytic astrocytoma (JPA) is dictated by the location of the displaced normal thalamus and posterior limb of the internal capsule (PLIC). Diffusion tensor (DT) imaging and white matter tractography can identify the location of the PLIC in relation to the tumor and may be useful in planning the operative trajectory. METHODS: Diffusion tensor imaging was used to localize the PLIC on preoperative MR imaging in 6 children undergoing resection of thalamic JPAs. After review of the standard T2-weighted MR imaging sequences, the anticipated position of the PLIC was determined. This result was compared with the location of the PLIC determined by a blinded radiologist with the use of DT imaging. The utility of DT imaging in determining the surgical approach to a thalamic JPA, degree of resection, and neurological outcomes were all evaluated. RESULTS: Diffusion tensor imaging confirmed the expected location of the PLIC as approximated on conventional T2-weighted images in all 6 cases. In 1 patient in particular, unexpected medial deviation of the PLIC was identified, and this proved useful in tailoring the approach to a more lateral trajectory. Gross-total resection of all cystic and solid tumor components was confirmed on postoperative imaging in all cases. All patients experienced mild to moderate worsening of neurological status immediately following resection, but 4 of 6 patients were back to their preoperative baseline at 6-month follow-up. CONCLUSIONS: Diffusion tensor imaging and white matter tractography successfully identified the white matter fibers emanating from the precentral gyrus within the PLIC in children with thalamic JPAs prior to surgery. Diffusion tensor imaging served as a valuable tool for stereotactic planning of operative approaches to thalamic JPAs. Localizing the position of the PLIC helped minimize potential neurological morbidity and facilitated gross-total resection.

Intracranial lesions mimicking neoplasms.

CONTEXT: A broad spectrum of nonneoplastic conditions can mimic a brain tumor, both clinically and radiologically. In this review we consider these, taking into consideration the following etiologic categories: infection, demyelination, vascular diseases, noninfectious inflammatory disorders, and iatrogenic conditions. We give an overview of such diseases, which represent a potential pitfall for pathologists and other clinicians involved in patient care, and present selected cases from each category. OBJECTIVE: To illustrate the radiologic and pathologic features of nontumoral intracranial lesions that can clinically and radiologically mimic neoplasia. DATA SOURCES: Case-derived material and literature review. CONCLUSIONS: A variety of nonneoplastic lesions can present clinically and radiologically as primary or metastatic central nervous system tumors and result in surgical biopsy or resection of the lesion. In such situations, the pathologist has an important role to play in correctly determining the nature of these lesions. Awareness of the entities that can present in this way will assist the pathologist in the correct diagnosis of these lesions.

Synchronous mixed germ cell tumor of the pineal gland and suprasellar region with a predominant angiomatous component: a diagnostic challenge.

We present a case of synchronous involvement of the pineal and suprasellar regions by a mixed germ cell tumor comprising germinoma and yolk sac tumor components, with a predominant angiomatous component. To our knowledge, it is the first case of this nature to be reported in the literature. Usually, synchronous lesions of this kind are pure germinomas, and some clinicians will forgo a biopsy and assume a germinoma histology if the serum beta-human chorionic gonadotrophin (HCG) is <50 IU/l and the alpha-fetoprotein (AFP) is within normal limits. Secondly, if a biopsy is performed on a lesion that has a prominent angiomatous component, the diagnostic germ cell tumor may be missed at the time of the biopsy. In order to alert clinicians and pathologists to this rare entity, the case is discussed with particular reference to difficulties that were encountered in rendering an accurate diagnosis, and the associated management implications.

High-grade glioma before and after treatment with radiation and Avastin: initial observations.

We evaluate the effects of adjuvant treatment with the angiogenesis inhibitor Avastin (bevacizumab) on pathological tissue specimens of high-grade glioma. Tissue from five patients before and after treatment with Avastin was subjected to histological evaluation and compared to four control cases of glioma before and after similar treatment protocols not including bevacizumab. Clinical and radiographic data were reviewed. Histological analysis focused on microvessel density and vascular morphology, and expression patterns of vascular endothelial growth factor-A (VEGF-A) and the hematopoietic stem cell, mesenchymal, and cell motility markers CD34, smooth muscle actin, D2-40, and fascin. All patients with a decrease in microvessel density had a radiographic response, whereas no response was seen in the patients with increased microvessel density. Vascular morphology showed apparent "normalization" after Avastin treatment in two cases, with thin-walled and evenly distributed vessels. VEGF-A expression in tumor cells was increased in two cases and decreased in three and did not correlate with treatment response. There was a trend toward a relative increase of CD34, smooth muscle actin, D2-40, and fascin immunostaining following treatment with Avastin. Specimens from four patients with recurrent malignant gliomas before and after adjuvant treatment (not including bevacizumab) had features dissimilar from our study cases. We conclude that a change in vascular morphology can be observed following antiangiogenic treatment. There seems to be no correlation between VEGF-A expression and clinical parameters. While the phenomena we describe may not be specific to Avastin, they demonstrate the potential of tissue-based analysis for the discovery of clinically relevant treatment response biomarkers.