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Review
. 2024 Nov 30;11(12):1213.
doi: 10.3390/bioengineering11121213.

Recent Breakthroughs in PET-CT Multimodality Imaging: Innovations and Clinical Impact

Affiliations
Review

Recent Breakthroughs in PET-CT Multimodality Imaging: Innovations and Clinical Impact

Dildar Hussain et al. Bioengineering (Basel). .

Abstract

This review presents a detailed examination of the most recent advancements in positron emission tomography-computed tomography (PET-CT) multimodal imaging over the past five years. The fusion of PET and CT technologies has revolutionized medical imaging, offering unprecedented insights into both anatomical structure and functional processes. The analysis delves into key technological innovations, including advancements in image reconstruction, data-driven gating, and time-of-flight capabilities, highlighting their impact on enhancing diagnostic accuracy and clinical outcomes. Illustrative case studies underscore the transformative role of PET-CT in lesion detection, disease characterization, and treatment response evaluation. Additionally, the review explores future prospects and challenges in PET-CT, advocating for the integration and evaluation of emerging technologies to improve patient care. This comprehensive synthesis aims to equip healthcare professionals, researchers, and industry stakeholders with the knowledge and tools necessary to navigate the evolving landscape of PET-CT multimodal imaging.

Keywords: PET-CT; artificial intelligence; clinical practice; cutting-edge technology innovations; diagnostic imaging; multimodality imaging; patient care; radiotracer development; theranostics.

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Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this paper; all authors have read the final manuscript, have approved the submission to the journal, and have accepted full responsibility for the manuscript’s delivery and contents.

Figures

Figure 1
Figure 1
Progression of PET–CT technology from its inception to modern advancements.
Figure 2
Figure 2
Organization of the survey paper.
Figure 3
Figure 3
Selected articles with top achievements over the past 5 years focused on PET-CT and multi-model medical imaging modality [5,6,7,8,9,10,11,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80].
Figure 4
Figure 4
Year-wise distribution of the reviewed literature is based on a Google Scholar query upon all the articles mentioning word, i.e., “CT Scanner Innovations”, “Noise-Reduction Techniques”, and the specific modality, i.e., “PET-CT”. Finally, articles extracted with all of these keywords are accumulated under the main heading, i.e., technical innovations.
Figure 5
Figure 5
Region-wise distribution of the selected research papers.
Figure 6
Figure 6
Most focused innovation area distribution of PET-CT.

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