V/Q SPECT and SPECT/CT in Pulmonary Embolism

Abstract

CE credit: For CE credit, you can access the test for this article, as well as additional JNMT CE tests, online at https://www.snmmilearningcenter.org. Complete the test online no later than March 2026. Your online test will be scored immediately. You may make 3 attempts to pass the test and must answer 80% of the questions correctly to receive 1.0 CEH (Continuing Education Hour) credit. SNMMI members will have their CEH credit added to their VOICE transcript automatically; nonmembers will be able to print out a CE certificate upon successfully completing the test. The online test is free to SNMMI members; nonmembers must pay $15.00 by credit card when logging onto the website to take the test.Ventilation and perfusion (V/Q) lung scintigraphy has been used in the assessment of patients with suspected pulmonary embolism for more than 50 y. Advances in imaging technology make SPECT and SPECT/CT feasible. This article will examine the application and technical considerations associated with performing 3-dimensional V/Q SPECT and the contribution of a coacquired CT scan. The literature tends to be mixed and contradictory in terms of appropriate investigation algorithms for pulmonary embolism. V/Q SPECT and SPECT/CT offer significant advantages over planar V/Q, with or without the advantages of Technegas ventilation, and if available should be the preferred option in the evaluation of patients with suspected pulmonary embolism.

Real-time non-invasive monitoring of pulmonary embolism based on dynamic EIT technology: a new method

“…Theoretically, this pulsatile impedance change can be captured and imaged to obtain information about the perfusion status of the lungs. Based on this, some scholars (Bartocci et al and Halter et al) have carried out exploratory work in this field at an early stage [8,9], but due to the extremely weak changes in blood flow impedance, not only does it require very high accuracy of the EIT acquisition system, but also results in the monitoring of lung perfusion status based on the method being affected by a variety of factors, and the reliability of the results needs to be further improved [10,11]. In order to improve the accuracy of lung perfusion state detection results, some scholars (Konstas et al, and Ohno et al ) have begun to try to enhance the resistance of the perfused area for a short period of time by deep venous puncture and using a "bullet" type of injection of high-conductivity contrast agent (e.g., 10%…”

Assessment of the bias of artificial intelligence generated images and large language models on their depiction of a surgeon

“…The increasing integration of artificial intelligence (AI) into domains like medicine, surgery, and research, has brought unparalleled advancements, and changed how doctors, particularly surgeons, are perceived. [1][2][3][4][5][6][7][8][9] The advent of AI-generated images using generative adversarial networks (GANs) and increased reliance on large language models (LLMs), have raised concerns regarding biases. Bias in AI models can be gender, racial, or cultural, which pertain to the systematic and unfair preferences or discrimination of certain demographics in the behaviour and outcomes of AI systems.…”