Diagnosis and Staging of Gastrointestinal Cancer: Current Status and Recent Advances in Imaging Techniques

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 1819

Special Issue Editor


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Guest Editor
Department of Radiology, Seoul National University Hospital, Seoul, Korea
Interests: imaging diagnosis of gastrointestinal cancers; staging of gastrointestinal cancers; image-guided liver tumor ablation

Special Issue Information

Dear Colleagues,

With the recent advances in imaging techniques, there is an increasing clinical importance for imaging studies of cancer patients. For example, liver MRI using a hepatocyte-specific contrast agent has been an accurate method for diagnosing and staging hepatocellular carcinoma. With the introduction of neoadjuvant therapy and the concept of borderline resectable pancreatic cancer, imaging evaluation of the tumor extent in patients with pancreatic cancer has become more crucial in clinical practice. In addition, rectal MRI has been the standard imaging study method to evaluate tumor stage and treatment response to preoperative chemoradiation therapy. Hybrid imaging such as PET/MR has emerged as a new imaging technique for various malignancies, including gastrointestinal cancer. In this Special Issue, we would like to address the current status of imaging studies for the diagnosis and staging of gastrointestinal cancer. We will also address cutting-edge imaging techniques for the diagnosis and staging of gastrointestinal cancer. We hope this Special Issue will provide the most up-to-date information regarding imaging for gastrointestinal cancer.

Dr. Dong Ho Lee
Guest Editor

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Keywords

  • gastrointestinal cancers
  • imaging techniques
  • diagnosis
  • staging

Published Papers (1 paper)

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12 pages, 1013 KiB  
Systematic Review
Diagnostic Performance of KLCA-NCC 2018 Criteria for Hepatocellular Carcinoma Using Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
by Dong Hwan Kim, Bohyun Kim, Seo Yeon Youn, Hokun Kim and Joon-Il Choi
Diagnostics 2021, 11(10), 1763; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics11101763 - 25 Sep 2021
Cited by 6 | Viewed by 1394
Abstract
Several imaging-based systems have been proposed for the diagnosis of hepatocellular carcinoma (HCC) using magnetic resonance imaging (MRI), reflecting geographical differences in the clinical environment for HCC. We conducted a systematic review and meta-analysis to determine the performance of the Korean Liver Cancer [...] Read more.
Several imaging-based systems have been proposed for the diagnosis of hepatocellular carcinoma (HCC) using magnetic resonance imaging (MRI), reflecting geographical differences in the clinical environment for HCC. We conducted a systematic review and meta-analysis to determine the performance of the Korean Liver Cancer Association-National Cancer Center (KLCA-NCC) 2018 criteria for the MRI diagnosis of HCC. Original studies reporting the performance of the KLCA-NCC 2018 criteria for the diagnosis of HCC using MRI were identified in MEDLINE and EMBASE until 29 March 2021. The meta-analytic pooled sensitivity and specificity of the KLCA-NCC 2018 criteria for diagnosing HCC were calculated using a bivariate random-effects model. A meta-regression analysis was performed to explore study heterogeneity further. Eight studies involving 1690 HCCs reported the accuracy of the KLCA-NCC 2018 imaging criteria. The pooled sensitivity and specificity of the definite HCC criteria for diagnosing HCC were 81% (95% confidence interval, 76–85%; I2 = 86%) and 90% (86–93%; I2 = 23%), respectively. For five available studies, the pooled sensitivity and specificity of the definite HCC criteria for diagnosing HCCs smaller than 20 mm were 80% (72–86%; I2 = 76%) and 91% (86–94%; I2 = 0%), respectively. A considerable threshold effect with a correlation coefficient of 0.667 was observed. The results of the meta-regression analysis revealed that the accuracy of the definite HCC criteria differed significantly depending on the type of MRI contrast agent (p = 0.01). In conclusion, the KLCA-NCC 2018 criteria had good overall diagnostic performance in diagnosing HCC. Substantial study heterogeneity was observed for sensitivity, which was significantly influenced by the type of contrast agent and by a threshold effect. Full article
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