Renal cell carcinoma choroidal metastasis recorded by smartphone with interface eyepiece adapter mounted on slit lamp: A case report.

Medicine (Baltimore)

Department of Ophthalmology, Zhejiang Medicine and Western Medicine Integrated Hospital, Hangzhou Red-Cross Hospital.

Published: March 2021

Rationale: Ocular metastasis of renal cell carcinoma (RCC) is rare, and mainly located on the choroid. We report a choroidal metastasis from RCC, which was recorded by a smartphone with an interface eyepiece adapter mounted on a slit lamp.

Patient Concerns: A 45-year-old female presented with 1-month history of painless occlusion of the vision field on the left eye, who had undergone right nephrectomy for RCC 19 months ago.

Diagnoses: A smooth, hemispherical and brown protrusion was found behind the pupil nasally. An enhanced computed tomography scan of the orbit showed a slightly high-density hemispherical nodule involving the nasal portions of the left eyeball, the enhancement of the lesion was obvious and homogeneous. A metastatic choroidal space-occupying lesion from RCC was highly suspected according to the clinical and radiological findings.

Interventions: The patient was advised to undergo further treatment, such as radiotherapy.

Outcomes: The images of choroid metastasis were recorded by the smartphone with the interface eyepiece adapter mounted on the slit lamp handily.

Conclusions: The smartphone with an interface eyepiece adapter mounted on the slit lamp can be widely used to record the precious images in the clinic in a timely manner.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969302PMC
http://dx.doi.org/10.1097/MD.0000000000024910DOI Listing

Publication Analysis

Top Keywords

smartphone interface
16
interface eyepiece
16
eyepiece adapter
16
adapter mounted
16
mounted slit
16
recorded smartphone
12
slit lamp
12
renal cell
8
cell carcinoma
8
choroidal metastasis
8

Similar Publications

Sensors are indispensable tools of modern life that are ubiquitously used in diverse settings ranging from smartphones and autonomous vehicles to the healthcare industry and space technology. By interfacing multiple sensors that collectively interact with the signal to be measured, one can go beyond the signal-to-noise ratios (SNR) attainable by the individual constituting elements. Such techniques have also been implemented in the quantum regime, where a linear increase in the SNR has been achieved via using entangled states.

View Article and Find Full Text PDF

Background: Parkinson disease (PD) is a worldwide, fast-growing, progressive neurodegenerative condition. Its multifaceted clinical presentation includes a wide range of motor and nonmotor symptoms. Smartphones present a potential solution to better monitor and subsequently alleviate PD symptoms.

View Article and Find Full Text PDF

The rising popularity of wearable activity tracking devices can be attributed to their capacity for gathering and analysing ambient data, which finds utility across numerous applications. In this study, a wearable activity tracking device is developed using the BBC micro:bit development board to identify basic bachata dance steps. Initially, a pair of smart ankle bracelets is crafted, employing the BBC micro:bit board equipped with a built-in accelerometer sensor and a Bluetooth module for transmitting accelerometer data to smartphones.

View Article and Find Full Text PDF

Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.

Nurs Rep

December 2024

Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia.

Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mortality associated with mental illness, there is an urgent need to identify callers to helplines who have a high level of distress and need to be seen by a clinician who can offer interventions for treatment.

View Article and Find Full Text PDF

In order to identify carcinoembryonic antigen (CEA) in serum samples, an innovative smartphone-based, label-free electrochemical immunosensor was created without the need for additional labels or markers. This technology presents a viable method for on-site cancer diagnostics. The novel smartphone-integrated, label-free immunosensing platform was constructed by nanostructured materials that utilize the layer-by-layer (LBL) assembly technique, allowing for meticulous control over the interface.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!