The Role of Ultrasound in Medical Diagnostics and Treatment

Ivana Vrdoljak and Lorena Dravinac

A chapter in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, 2025, pp 163-175 from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb

Abstract: The ultrasound machine generates images to examine various parts of the human body. It emits high-frequency sound waves that are reflected off bodily structures, and a computer receives these reflected waves to create images. Unlike X-rays or CT scans, ultrasound does not utilize ionizing radiation. Ultrasound has gained popularity due to its widespread availability and the ability of modern devices to produce high-resolution images, offering exceptional clarity, which in turn provides precision, accuracy, sensitivity, and specificity. A major advantage of ultrasound is that it allows frequent examinations without causing harm to the patient, as it does not emit radiation. As the name suggests, ultrasound typically refers to high-frequency sound waves. These waves pass through body tissues and are converted into electrical signals. The accuracy of ultrasound diagnostics depends on the operator's expertise in handling the equipment, selecting the appropriate probe, identifying artifacts, and interpreting the results. There are several ultrasound techniques, including A-mode, B-mode, M-mode, Doppler, contrast-enhanced ultrasound, and other techniques. In medicine, ultrasound is also used for interventional procedures, such as guiding biopsies. Ultrasound can visualize nearly all organ systems within the human body without causing harm to the patient, making it the gold standard in diagnostic imaging.

Keywords: ultrasound; doppler; probe; ultrasound wave (search for similar items in EconPapers)
JEL-codes: I11 I12 I18 I19 O33 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/317958/1/entrenova-2024-0015.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:entr24:317958

DOI: 10.54820/entrenova-2024-0015

Access Statistics for this chapter

More chapters in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2024), Hybrid Conference, Dubrovnik, Croatia from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().