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1 "Jeong Hui Lee"
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Original Article
Clinical Usefulness of Preoperative and Postoperative Chest Computed Tomography for Colorectal Cancer
Jeong Hui Lee, Byung Kyu Ahn, Young Soo Nam, Kang Hong Lee
J Korean Soc Coloproctol. 2010;26(5):359-364.   Published online October 31, 2010
DOI: https://doi.org/10.3393/jksc.2010.26.5.359
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AbstractAbstract PDF
Purpose

This research sought to identify the utility value of chest computed tomography (CT) when it comes to the diagnosis of lung metastasis in cases of colorectal cancer.

Methods

From September 2004 to January 2008, 266 patients who were treated for colorectal cancer at Department of Surgery, Hanyang University College of Medicine, were divided into two groups: one that underwent preoperative and postoperative periodical chest CT (periodical inspection group, PIG; May 2006 to January 2008, 135 patients) and one that did not undergo periodical chest CT (non-periodical inspection group, NPIG; September 2004 to April 2006, 131 patients) for comparison.

Results

The overall lung metastasis diagnosis rates did not manifest any significant difference. The times to diagnose lung metastasis patients were 6.3 months and 15.7 months for the PIG and the NPIG, respectively (P = 0.022). The size of the metastatic lung nodule was smaller in the PIG than in the NPIG (< 1 cm in 9/9 patients vs. < 1 cm in 6/9 patients in the PIG and the NPIG, respectively; P = 0.02). A solitary lung metastasis was more frequently found in the PIG (5/9 patients) than in the NPIG (1/11 patients) (P = 0.024). During the follow-up period, 100% (2/2 patients) and 60% (3/5 patients) of the patients in the PIG and the NPIG, respectively, with stage III cancer underwent a lung metastasectomy (P = 0.002).

Conclusion

Chest CT enables early diagnosis with a smaller size and a lower number of lung metastases in patients with colorectal cancer. Moreover, pulmonary the rate of the pulmonary resection for selected patients may be improved. However, the contribution of chest CT to increasing the survival rate must be investigated in a prospective randomized study.

Citations

Citations to this article as recorded by  
  • Development and validation of an artificial intelligence prediction model and a survival risk stratification for lung metastasis in colorectal cancer from highly imbalanced data: A multicenter retrospective study
    Weiyuan Zhang, Xu Guan, Shuai Jiao, Guiyu Wang, Xishan Wang
    European Journal of Surgical Oncology.2023; 49(12): 107107.     CrossRef
  • CT Morphological Features Integrated With Whole-Lesion Histogram Parameters to Predict Lung Metastasis for Colorectal Cancer Patients With Pulmonary Nodules
    TingDan Hu, ShengPing Wang, Xiangyu E, Ye Yuan, Lv Huang, JiaZhou Wang, DeBing Shi, Yuan Li, WeiJun Peng, Tong Tong
    Frontiers in Oncology.2019;[Epub]     CrossRef
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