scholarly journals Perfusion computed tomography in colorectal cancer: Protocols, clinical applications and emerging trends

2009 ◽  
Vol 15 (26) ◽  
pp. 3228 ◽  
Author(s):  
Guang-Yao Wu ◽  
Prasanna Ghimire
Keyword(s):  
Colorectal Cancer ◽  
Computed Tomography ◽  
Clinical Applications ◽  
Perfusion Computed Tomography ◽  
Emerging Trends

scholarly journals A Systematic Review on the Role of the Perfusion Computed Tomography in Abdominal Cancer

Dose-Response ◽  
2021 ◽  
Vol 19 (4) ◽  
pp. 155932582110561
Author(s):  
Nunzia Garbino ◽  
Valentina Brancato ◽  
Marco Salvatore ◽  
Carlo Cavaliere
Keyword(s):  
Computed Tomography ◽  
Web Of Science ◽  
Qualitative Evaluation ◽  
Tissue Perfusion ◽  
Original Data ◽  
Clinical Applications ◽  
Perfusion Computed Tomography ◽  
Imaging Tool ◽  
Oncologic Diseases

Background and purpose Perfusion Computed Tomography (CTp) is an imaging technique which allows quantitative and qualitative evaluation of tissue perfusion through dynamic CT acquisitions. Since CTp is still considered a research tool in the field of abdominal imaging, the aim of this work is to provide a systematic summary of the current literature on CTp in the abdominal region to clarify the role of this technique for abdominal cancer applications. Materials and Methods A systematic literature search of PubMed, Web of Science, and Scopus was performed to identify original articles involving the use of CTp for clinical applications in abdominal cancer since 2011. Studies were included if they reported original data on CTp and investigated the clinical applications of CTp in abdominal cancer. Results Fifty-seven studies were finally included in the study. Most of the included articles (33/57) dealt with CTp at the level of the liver, while a low number of studies investigated CTp for oncologic diseases involving UGI tract (8/57), pancreas (8/57), kidneys (3/57), and colon–rectum (5/57). Conclusions Our study revealed that CTp could be a valuable functional imaging tool in the field of abdominal oncology, particularly as a biomarker for monitoring the response to anti-tumoral treatment.

scholarly journals Capabilities of perfusion computed tomography in colorectal cancer detection and differential diagnosis of pathological conditions of the colon. Early results

2020 ◽  
Vol 11 (4) ◽  
pp. 19-26
Author(s):  
Maksim Yu. Kabanov ◽  
Irina K. Borovik ◽  
Mariya Ya. Belikova ◽  
Konstantin V. Sementsov ◽  
Irina E. Itskovich ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Computed Tomography ◽  
Cancer Detection ◽  
Ct Perfusion ◽  
Perfusion Technique ◽  
Perfusion Computed Tomography ◽  
Pathological Conditions ◽  
Early Results ◽  
Preoperative Ct ◽  
Inflammatory Bowel

The article presents the results of preoperative CT diagnostics of colorectal cancer using perfusion technique. It was found that CT perfusion can improve the diagnostics of local prevalence of colon cancer compared to standard computed tomography, as well as to differentiate colorectal cancer and inflammatory bowel disease.

Perfusion Computed Tomography and its Application in Oncologic Practice

2013 ◽  
Vol 2 (1) ◽  
pp. 30-41
Author(s):  
Rosalind Mitchell Hay ◽  
Sofia Gourtsoyianni ◽  
Vicky Goh
Keyword(s):  
Computed Tomography ◽  
Perfusion Computed Tomography

scholarly journals Computed Tomography Colonography as a Sensible Option for Colorectal Cancer Screening: Evidence Based on Metanalysis

2021 ◽  
Vol 41 (01) ◽  
pp. 087-095
Author(s):  
Ingrid Chaves de Souza Borges ◽  
Natália Costa Resende Cunha ◽  
Amanda Marsiaj Rassi ◽  
Marcela Garcia de Oliveira ◽  
Jacqueline Andréia Bernardes Leão-Cordeiro ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Computed Tomography ◽  
Cancer Screening ◽  
Literature Search ◽  
Web Of Science ◽  
Screening Method ◽  
Colorectal Polyp ◽  
Evidence Based ◽  
Polyp Detection ◽  
Computed Tomography Colonography

Abstract Objective This metanalysis aimed to evaluate the sensitivity and specificity of computed tomography colonography in colorectal polyp detection. Methods A literature search was performed in the PubMed and Web of Science databases. Results A total of 1,872 patients (males 57.2%, females 42.8%) aged 49 to 82 years old (mean age 59.7 ± 5.3 years) were included in this metanalysis. The estimated sensitivity of computed tomography colonography was 88.4% (46.3–95.7%, coefficient of variation [CV] = 28.5%) and the estimated specificity was 73.6% (47.4–100.0%, CV = 37.5%). For lesions up to 9 mm, the sensitivity was 82.5% (62.0–99.9%, CV = 25.1%) and the specificity was 79.2% (32.0–98.0%, CV = 22.9%). For lesions > 9 mm, the sensitivity was 90.2% (64.0–100.0%, CV = 7.4%) and the specificity was 94.7% (80.0–100.0%, CV = 6.2%). No statistically significant differences in sensitivity according to the size of the lesion were found (p = 0.0958); however, the specificity was higher for lesions > 9 mm (p < 0.0001). Conclusions Most of the studies analyzed in the present work were conducted before 2010, which is about a decade after computed tomography colonography started being indicated as a screening method by European and American guidelines. Therefore, more studies aimed at analyzing the technique after further technological advancements are necessary, which could lead to the development of more modern devices.

scholarly journals Microbial Metabolites in Colorectal Cancer: Basic and Clinical Implications

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 159
Author(s):  
Yao Peng ◽  
Yuqiang Nie ◽  
Jun Yu ◽  
Chi Chun Wong
Keyword(s):  
Colorectal Cancer ◽  
Gut Microbiota ◽  
Cancer Diagnosis ◽  
Intestinal Tract ◽  
Clinical Applications ◽  
Diagnosis And Treatment ◽  
Clinical Implications ◽  
Microbial Metabolites ◽  
Colorectal Tumorigenesis ◽  
Technology Studies

Colorectal cancer (CRC) is one of the leading cancers that cause cancer-related deaths worldwide. The gut microbiota has been proved to show relevance with colorectal tumorigenesis through microbial metabolites. By decomposing various dietary residues in the intestinal tract, gut microbiota harvest energy and produce a variety of metabolites to affect the host physiology. However, some of these metabolites are oncogenic factors for CRC. With the advent of metabolomics technology, studies profiling microbiota-derived metabolites have greatly accelerated the progress in our understanding of the host-microbiota metabolism interactions in CRC. In this review, we briefly summarize the present metabolomics techniques in microbial metabolites researches and the mechanisms of microbial metabolites in CRC pathogenesis, furthermore, we discuss the potential clinical applications of microbial metabolites in cancer diagnosis and treatment.

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