Cancer Genetics and Epigenetics, 2025, Vol.13, No.2, 98-105 http://medscipublisher.com/index.php/cge 101 Figure 1 Schematic illustrating the process of obtaining exact and approximate lifetime features (Adopted from Pande et al., 2016) Image caption: The exact lifetimes are obtained from the deconvolved intrinsic decay h(t) shown in blue, whereas the approximate lifetimes ate obtained from the falling part of the recorded decay y(t), denoted by, which is used as a substitute for the the intrinsic decay (Adopted from Pande et al., 2016) 4.3 Application of multimodal imaging in clinical trials and cutting-edge research At present, many clinical trials and studies are promoting the use of multimodal imaging in the diagnosis of oral cancer. For example, multimodal optical imaging systems have been used to successfully identify precancerous and cancerous tissues. The system was 95% accurate in identifying moderate or severe dysplasia, as well as cancerous sites (Pierce et al., 2012). This shows that multimodal imaging has great potential to help doctors identify problems earlier and more accurately. Future research is still trying to combine different imaging methods to further improve the diagnostic effect. For example, some studies are testing the combination of photoacoustic imaging (PAI), ultrasonic backscattering microscopy (UBM) and FLIm to obtain biochemical, structural, and functional information simultaneously (Fatakdawala et al., 2013). The goal of these studies is to make imaging more comprehensive and more suitable for practical use in hospitals, thereby improving patient outcomes and outcomes. 5 Advantages and Limitations of Multimodal Imaging Techniques in Oral Cancer 5.1 Advantages of multimodal techniques in enhancing diagnostic accuracy for oral cancer Multimodal imaging combines several different imaging modalities to more accurately diagnose oral cancer. These methods can provide different biochemical and morphological information, giving doctors a more complete understanding of oral tissue. The combination of fluorescence lifetime imaging (FLIM) and optical coherence Tomography (OCT) achieved a classification accuracy of 87.4%, much higher than either method alone (Pande et al., 2016). This combination can more clearly identify whether tissue lesions occur, improving the accuracy of oral cancer detection (Pande et al., 2016; Fatakdawala et al., 2013). In addition, some systems that combine autofluorescence and high-resolution endoscopy techniques are also good at distinguishing between cancerous and normal tissue. Quang et al. (2017) found that such a system is 100% accurate for non-cancerous tissues and 85% accurate for cancerous tissues. In addition, these technologies can also
RkJQdWJsaXNoZXIy MjQ4ODYzNA==