Incidentalomas: managing risks

An incidentally found mass on the remnant stomach after a Roux-en-Y gastric bypass

BACKGROUND

Incidentally found masses are a widely discussed area of medicine, and there are conflicting opinions as to how to deal with these findings, particularly in the stomach-which has limited documentation in the literature. Here we present a middle-aged female who was found to have an incidentally found mass on her remnant stomach 10 years after a Roux-en-Y gastric bypass (RYGB) surgery.

CASE PRESENTATION

We present the case of a 66-year-old female who is 10 years post-op from a RYGB. After a bout of self-resolving diarrheal illness prompted a computed tomography (CT) scan in the emergency department, she was diagnosed with a 9-cm mass on her remnant stomach that after resection was found to be a gastrointestinal stromal tumor (GIST) with the PDGRRA p.D842V gene mutation.

CONCLUSION

The National Comprehensive Cancer Network (NCCN) outlines guidelines for the workup of abdominal masses. While endoscopic ultrasound is a common step in diagnosis of gastric masses, for a patient who has had a RYGB, access to the remnant stomach, which is no longer a part of the alimentary tract, is not possible. Thus, this patient's mass was surgically resected. Given the low risk of recurrence, her future care consists of follow-up with medical oncology in accordance with the NCCN guidelines.

Impact of an email advice service on filtering and refining ophthalmology referrals in England

PURPOSE

The growing capacity-demand imbalance has necessitated the accelerated digital transformation of eye care services. The role of Oxford Eye Hospital's (OEH) email advice service has become even more relevant in the post-Covid era. We sought to evaluate its impact on referrals to secondary care.

METHODS

The consultant-led OEH email advice service primarily targets primary eye care personnel (optometrists and GPs) requiring clinical advice on patient referral. Emails received between September and November 2020 were analysed for demographic data, contents, characteristics, and outcomes. Thematic analysis was performed. A user feedback survey was conducted.

RESULTS

A total of 828 emails were received over the 3-month study period (mean 9.1/day). They were predominantly from optometrists (77.9%) and general practitioners (16.1%). Of the 81.0% (671) relating to clinical advice, over half (54.8%) included images from a variety of modalities, and following review, over half (55.5%) were deemed suitable for management in the community, while 36.5% were referred directly to appropriate subspecialty clinics. Only 8.1% required urgent assessment in eye casualty. Thematic analysis showed that this service was most useful for retinal lesions, optical coherence tomography abnormalities, and borderline abnormal optic discs. No adverse events were identified. User feedback was very positive.

CONCLUSION

A secure email advice service is a safe and low-maintenance modality that provides direct and efficient two-way communication between primary and secondary eye care professionals. It allows rapid response to clinical queries, referral filtering and refinement, and streamlining of patient referral pathways. Users (predominantly optometrists) were overwhelmingly positive about its usefulness in clinical practice.

Satisfaction of search awareness in trauma radiology: Malignant renal lesion on a trauma thoracolumbar spine CT

Fast-paced trauma imaging can result in misses relating to the nonosseous structures included in the field of view. We report a case of a Bosniak type III renal cyst, later found to be clear cell renal cell carcinoma, incidentally noted on post-traumatic CT of the thoracic and lumbar spine. This case includes a discussion of the circumstances which could result in a radiologist missing this finding, the idea of satisfaction of search, the importance of maintaining a thorough search pattern, and the management and communication of incidental findings.

Ethical issues in global neuroimaging genetics collaborations

Neuroimaging genetics is a rapidly developing field that combines neuropsychiatric genetics studies with imaging modalities to investigate how genetic variation influences brain structure and function. As both genetic and imaging technologies improve further, their combined power may hold translational potential in terms of improving psychiatric nosology, diagnosis, and treatment. While neuroimaging genetics studies offer a number of scientific advantages, they also face challenges. In response to some of these challenges, global neuroimaging genetics collaborations have been created to pool and compare brain data and replicate study findings. Attention has been paid to ethical issues in genetics, neuroimaging, and multi-site collaborative research, respectively, but there have been few substantive discussions of the ethical issues generated by the confluence of these areas in global neuroimaging genetics collaborations. Our discussion focuses on two areas: benefits and risks of global neuroimaging genetics collaborations and the potential impact of neuroimaging genetics research findings in low- and middle-income countries. Global neuroimaging genetics collaborations have the potential to enhance relations between countries and address global mental health challenges, however there are risks regarding inequity, exploitation and data sharing. Moreover, neuroimaging genetics research in low- and middle-income countries must address the issue of feedback of findings and the risk of essentializing and stigmatizing interpretations of mental disorders. We conclude by examining how the notion of solidarity, informed by an African Ethics framework, may justify some of the suggestions made in our discussion.

Abdominal Ultrasound in the Detection of an Incidental Paraganglioma

Paraganglioma is a tumor that originates from neuroendocrine cells of the sympathetic or parasympathetic systems. Patients may suffer from headaches, palpitations, diaphoresis, and hypertension due to catecholamine excess or symptoms from the mass effect of the tumor. In the absence of typical symptoms of catecholamine excess, the diagnosis of a nonfunctional paraganglioma is often delayed. Herein, we report a case of a 63-year-old female patient with a nonfunctional paraganglioma which is an accidental finding during investigation of a fever. Abdominal ultrasonography incidentally detected this lesion as a complex, solid, cystic mass in the left suprarenal retroperitoneum.

Predicting cancer using supervised machine learning: Mesothelioma

BACKGROUND

Pleural Mesothelioma (PM) is an unusual, belligerent tumor that rapidly develops into cancer in the pleura of the lungs. Pleural Mesothelioma is a common type of Mesothelioma that accounts for about 75% of all Mesothelioma diagnosed yearly in the U.S. Diagnosis of Mesothelioma takes several months and is expensive. Given the risk and constraints associated with PM diagnosis, early identification of this ailment is essential for patient health.

OBJECTIVE

In this study, we use artificial intelligence algorithms recommending the best fit model for early diagnosis and prognosis of Malignant Pleural Mesothelioma (MPM).

METHODS

We retrospectively retrieved patients' clinical data collected by Dicle University, Turkey and applied multilayered perceptron (MLP), voted perceptron (VP), Clojure classifier (CC), kernel logistic regression (KLR), stochastic gradient decent (SGD), adaptive boosting (AdaBoost), Hoeffding tree (VFDT), and primal estimated sub-gradient solver for support vector machine (s-Pegasos). We evaluated the models, compared and tested them using paired t-test (corrected) at 0.05 significance based on their respective classification accuracy, f-measure, precision, recall, root mean squared error, receivers' characteristic curve (ROC), and precision-recall curve (PRC).

RESULTS

In phase 1, SGD, AdaBoost.M1, KLR, MLP, VFDT generate optimal results with the highest possible performance measures. In phase 2, AdaBoost, with a classification accuracy of 71.29%, outperformed all other algorithms. C-reactive protein, platelet count, duration of symptoms, gender, and pleural protein were found to be the most relevant predictors that can prognosticate Mesothelioma.

CONCLUSION

This study confirms that data obtained from biopsy and imaging tests are strong predictors of Mesothelioma but are associated with a high cost; however, they can identify Mesothelioma with optimal accuracy.