Gadolinium-Loaded Solid Lipid Nanoparticles for Colorectal Tumor in MR Colonography

Wang, Huiyang; Ding, Wen; Peng, Lijun; Fan, Hongjie; Yan, Chun-Hong; Xu, Shufeng; Sun, Jihong; Zhu, Xisong

doi:10.1166/jbn.2020.2922

Cited by 10 publications

(5 citation statements)

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“…To obtain a better imaging effect for GIC, Sun and Wang et al designed solid lipid nanoparticles loaded with gadolinium (Gd), diethyltriamine pentaacetic acid (Gd-DTPA) and fluorescein octadecylamine isothiocyanate (FITC) imaging nanoparticle contrast agents. The results show that these can enhance the contrast of tumour sites and lead to long-term improvements in detecting CRC during MR colonography [81,82]. Khantasup et al developed a new contrast agent by coupling humanized anti-EpCAM antibodies with gadolinium chelate.…”

Section: Mrimentioning

confidence: 99%

Application of nanotechnology in the early diagnosis and comprehensive treatment of gastrointestinal cancer

Deng

Jiang

et al. 2022

J Nanobiotechnol

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Gastrointestinal cancer (GIC) is a common malignant tumour of the digestive system that seriously threatens human health. Due to the unique organ structure of the gastrointestinal tract, endoscopic and MRI diagnoses of GIC in the clinic share the problem of low sensitivity. The ineffectiveness of drugs and high recurrence rates in surgical and drug therapies are the main factors that impact the curative effect in GIC patients. Therefore, there is an urgent need to improve diagnostic accuracies and treatment efficiencies. Nanotechnology is widely used in the diagnosis and treatment of GIC by virtue of its unique size advantages and extensive modifiability. In the diagnosis and treatment of clinical GIC, surface-enhanced Raman scattering (SERS) nanoparticles, electrochemical nanobiosensors and magnetic nanoparticles, intraoperative imaging nanoparticles, drug delivery systems and other multifunctional nanoparticles have successfully improved the diagnosis and treatment of GIC. It is important to further improve the coordinated development of nanotechnology and GIC diagnosis and treatment. Herein, starting from the clinical diagnosis and treatment of GIC, this review summarizes which nanotechnologies have been applied in clinical diagnosis and treatment of GIC in recent years, and which cannot be applied in clinical practice. We also point out which challenges must be overcome by nanotechnology in the development of the clinical diagnosis and treatment of GIC and discuss how to quickly and safely combine the latest nanotechnology developed in the laboratory with clinical applications. Finally, we hope that this review can provide valuable reference information for researchers who are conducting cross-research on GIC and nanotechnology.

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Section: Mrimentioning

confidence: 99%

Application of nanotechnology in the early diagnosis and comprehensive treatment of gastrointestinal cancer

Deng

Jiang

et al. 2022

J Nanobiotechnol

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“…Colon cancer patients are increasing year by year, and young people have an increasing chance of colon cancer. Colon cancer is very common in clinical practice and usually occurs in the left colon, and local intestinal wall hypertrophy can indicate whether colon cancer occurs [ 10 ]. Surgical resection of patients with digestive organ cancer is a good treatment.…”

Section: Discussionmentioning

confidence: 99%

“…Colonoscopy can detect potential bleeding in colon, for colon polyps and colon cancer screening, but less experienced experts, and the requirements of colonoscopy are strict [ 7 , 8 ]. In addition, colonoscopy cannot evaluate the degree and nature of lesions, which will reduce the detection rate of colon cancer [ 9 , 10 ], so it is not easy to popularize. The sensitivity and specificity of ultrasonography in the diagnosis of colon cancer are 67 %–86% and 79 %–87%, respectively.…”

Section: Introductionmentioning

confidence: 99%

Dark-Lumen Magnetic Resonance Image Based on Artificial Intelligence Algorithm in Differential Diagnosis of Colon Cancer

Fang¹,

Kang

Yang

et al. 2022

Computational Intelligence and Neuroscience

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This research was aimed o investigate the application value and diagnostic effect of dark-lumen magnetic resonance imaging (dark-lumen MRI) based on artificial intelligence algorithm on colon cancer. A total of 98 patients with ulcerated colon cancer were selected as the study subjects. All patients underwent colonic endoscopy. The patients were divided into algorithm group (artificial intelligence algorithm processing image group) and control group (conventional method processing image group) according to different dark-lumen MRI processing methods. The detection efficiency of colon cancer was compared between the two groups. It showed that the diagnostic effect of dark-lumen MRI based on artificial intelligence algorithm was significant. The apparent diffusion coefficient (ADC) in the control group was 0.92 ± 0.14 mm2/s (minimum: 0.74, maximum: 1.30), ADC in the algorithm group was 1.55 ± 0.31 mm2/s (minimum: 1.22, maximum: 2.42). The ADC of patients in algorithm group was significantly higher than that of patients in control group, with statistical difference (t = 7.827, P < 0.001). The correct number of cases was 46 and the diagnostic error number was 3 in algorithm group, with accuracy of 93%. The correct number of cases was 41 and the diagnostic error number was 8 in control group, with accuracy of 83%. In comparison, the correct rate was 10% higher in algorithm group, indicating that the diagnostic effect was better in algorithm group. The mean value of invasion depth was 10.42 in the algorithm group and 5.27 in the control group, indicating that the algorithm group was more accurate in the judgment of invasion depth, had a good prospect of clinical application, and had guiding significance for the diagnosis of colon cancer.

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“…The Gd-FITC-SLNs exhibit significantly increased SNR and circulation time, resulting in the durable enhancement of CRC. 242 Additionally, Pagoto et al have developed vascular cell adhesion molecule-1 receptor-targeted phospholipid-based micelles loaded with Gd-DOTA for MRI visualization of inflammatory sites. This micellar system exhibits good biocompatibility, high longitudinal relaxation, and an improved ability to detect areas of inflammation by enhancing MRI T1 contrast.…”

Section: Nanotechnology In the Diagnostic Applications Of Gi Diseasesmentioning

confidence: 99%

Application of Nanoparticles in the Diagnosis of Gastrointestinal Diseases: A Complete Future Perspective

Yue¹,

Xu²,

Xu³

et al. 2023

IJN

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The diagnosis of gastrointestinal (GI) diseases currently relies primarily on invasive procedures like digestive endoscopy. However, these procedures can cause discomfort, respiratory issues, and bacterial infections in patients, both during and after the examination. In recent years, nanomedicine has emerged as a promising field, providing significant advancements in diagnostic techniques. Nanoprobes, in particular, offer distinct advantages, such as high specificity and sensitivity in detecting GI diseases. Integration of nanoprobes with advanced imaging techniques, such as nuclear magnetic resonance, optical fluorescence imaging, tomography, and optical correlation tomography, has significantly enhanced the detection capabilities for GI tumors and inflammatory bowel disease (IBD). This synergy enables early diagnosis and precise staging of GI disorders. Among the nanoparticles investigated for clinical applications, superparamagnetic iron oxide, quantum dots, single carbon nanotubes, and nanocages have emerged as extensively studied and utilized agents. This review aimed to provide insights into the potential applications of nanoparticles in modern imaging techniques, with a specific focus on their role in facilitating early and specific diagnosis of a range of GI disorders, including IBD and colorectal cancer (CRC). Additionally, we discussed the challenges associated with the implementation of nanotechnology-based GI diagnostics and explored future prospects for translation in this promising field.

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Gadolinium-Loaded Solid Lipid Nanoparticles for Colorectal Tumor in MR Colonography

Cited by 10 publications

References 0 publications

Application of nanotechnology in the early diagnosis and comprehensive treatment of gastrointestinal cancer

Application of nanotechnology in the early diagnosis and comprehensive treatment of gastrointestinal cancer

Dark-Lumen Magnetic Resonance Image Based on Artificial Intelligence Algorithm in Differential Diagnosis of Colon Cancer

Application of Nanoparticles in the Diagnosis of Gastrointestinal Diseases: A Complete Future Perspective

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