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Jpn J Radiol ; 30(1): 18-24, 2012 Jan.
Article in English | MEDLINE | ID: mdl-22160648

ABSTRACT

PURPOSE: Multimodality therapy for esophageal cancer can cause various kinds of treatment-related sequelae, especially pulmonary toxicities. This prospective study aims to investigate the clinical and dosimetric parameters predicting lung injury in patients undergoing radiation therapy for esophageal cancer. METHODS: Forty-five esophageal cancer patients were prospectively analyzed. The pulmonary toxicities (or sequelae) were evaluated by comparing chest X-ray films, pulmonary function tests and symptoms caused by pulmonary damage before and after treatment. All patients were treated with either three-dimensional radiotherapy (3DCRT) or with intensity-modulated radiotherapy (IMRT). The planning dose volume histogram was used to compute the lung volumes receiving more than 5, 10, 20 and 30 Gy (V5, V10, V20, V30) and mean lung dose. RESULTS: V20 was larger in the IMRT group than in the 3DCRT group (p = 0.002). V20 (>15%) and V30 (>20%) resulted in a statistically significant increase in the occurrence of chronic pneumonitis (p = 0.03) and acute pneumonitis (p = 0.007), respectively. CONCLUSIONS: The study signifies that a larger volume of lung receives lower doses because of multiple beam arrangement and a smaller volume of lung receives higher doses because of better dose conformity in IMRT plans. Acute pneumonitis correlates more with V30 values, whereas chronic pneumonitis was predominantly seen in patients with higher V20 values.


Subject(s)
Esophageal Neoplasms/radiotherapy , Radiation Pneumonitis/etiology , Radiotherapy, Conformal/adverse effects , Radiotherapy, Intensity-Modulated/adverse effects , Acute Disease , Adult , Aged , Aged, 80 and over , Chronic Disease , Dose-Response Relationship, Radiation , Female , Humans , Male , Middle Aged , Prospective Studies , Radiotherapy Dosage , Radiotherapy Planning, Computer-Assisted/methods , Respiratory Function Tests/methods , Respiratory Function Tests/statistics & numerical data , Severity of Illness Index
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