Journal of Jilin University Medicine Edition ›› 2016, Vol. 42 ›› Issue (06): 1226-1229.doi: 10.13481/j.1671-587x.20160635

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Application of image-guided radiation therapy technology in patients with rectal cancer treated with intensity modulated radiation therapy technology before operation

XU Dequan, ZHUO Longquan, ZHANG Yongchang, ZHAO Ling   

  1. Department of Radiation Oncology, Tumor Hospital, Jilin Province, Changchun 130012, China
  • Received:2016-09-12 Online:2016-11-28 Published:2016-12-02

Abstract:

Objective: To explore the application of image-guided radiotherapy technology(IGRT) in intensity modulated radiation therapy(IMRT) in the patients with rectal cancer before operation,and to analyze its guiding significance for target region.Methods: A total of 67 patients with rectal cancer(Ⅱ-Ⅲ stages,CT3-4N0M0 or CT1-4N1-2M0) were treated with IMRT before operation. IGRT was used for once a week during the radiotherapy and two sets of image contrast errors in the three-dimensional space were obtained.The systematic (Σ) and random (σ) setup errors were calculated.The MPTV was calculated according to the van Herk formula.Results: A total of 389 CBCT scans were analyzed. The error range in the directions of e x, y, z axis were (0.86--1.13), (1.94--2.11),and (1.87--1.81) cm, respectively. The translation errors of the corrected y axis and z axis were less than those before correction (t=3.541, P=0.001; t=3.275, P=0.000); the rotation errors of the corrected x axis and y axis were less than those before correction (t=1.260, P=0.000; t=2.797, P=0.000). Before correction, the MPTV in the directions of x, y, z axis were 2.00, 3.25, and 2.88 cm, respectively, which were 0.73, 1.74, and 1.50 cm after correction, reduced by 1.27, 1.51, and 1.38 cm, respectively.Conclusion: IGRT could effectivly guarantee the accuracy of IMRT of the patients with rectal cancer by reducing the systematic errors and position errors.

Key words: rectal neoplasms, intensity modulated radiation therapy, image-guided radiation therapy technology

CLC Number: 

  • R735.37