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Article: Early Assessment of Treatment Responses During Radiation Therapy for Lung Cancer Using Quantitative Analysis of Daily Computed Tomography

TitleEarly Assessment of Treatment Responses During Radiation Therapy for Lung Cancer Using Quantitative Analysis of Daily Computed Tomography
Authors
Issue Date2017
Citation
International Journal of Radiation Oncology Biology Physics, 2017, v. 98, n. 2, p. 463-472 How to Cite?
Abstract© 2017 Elsevier Inc. Purpose To investigate early tumor and normal tissue responses during the course of radiation therapy (RT) for lung cancer using quantitative analysis of daily computed tomography (CT) scans. Methods and Materials Daily diagnostic-quality CT scans acquired using CT-on-rails during CT-guided RT for 20 lung cancer patients were quantitatively analyzed. On each daily CT set, the contours of the gross tumor volume (GTV) and lungs were generated and the radiation dose delivered was reconstructed. The changes in CT image intensity (Hounsfield unit [HU]) features in the GTV and the multiple normal lung tissue shells around the GTV were extracted from the daily CT scans. The associations between the changes in the mean HUs, GTV, accumulated dose during RT delivery, and patient survival rate were analyzed. Results During the RT course, radiation can induce substantial changes in the HU histogram features on the daily CT scans, with reductions in the GTV mean HUs (dH) observed in the range of 11 to 48 HU (median 30). The dH is statistically related to the accumulated GTV dose (R2 > 0.99) and correlates weakly with the change in GTV (R2 = 0.3481). Statistically significant increases in patient survival rates (P=.038) were observed for patients with a higher dH in the GTV. In the normal lung, the 4 regions proximal to the GTV showed statistically significant (P<.001) HU reductions from the first to last fraction. Conclusion Quantitative analysis of the daily CT scans indicated that the mean HUs in lung tumor and surrounding normal tissue were reduced during RT delivery. This reduction was observed in the early phase of the treatment, is patient specific, and correlated with the delivered dose. A larger HU reduction in the GTV correlated significantly with greater patient survival. The changes in daily CT features, such as the mean HU, can be used for early assessment of the radiation response during RT delivery for lung cancer.
Persistent Identifierhttp://hdl.handle.net/10722/266790
ISSN
2023 Impact Factor: 6.4
2023 SCImago Journal Rankings: 1.992
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPaul, Jijo-
dc.contributor.authorYang, Cungeng-
dc.contributor.authorWu, Hui-
dc.contributor.authorTai, An-
dc.contributor.authorDalah, Entesar-
dc.contributor.authorZheng, Cheng-
dc.contributor.authorJohnstone, Candice-
dc.contributor.authorKong, Feng Ming-
dc.contributor.authorGore, Elizabeth-
dc.contributor.authorLi, X. Allen-
dc.date.accessioned2019-01-31T07:19:36Z-
dc.date.available2019-01-31T07:19:36Z-
dc.date.issued2017-
dc.identifier.citationInternational Journal of Radiation Oncology Biology Physics, 2017, v. 98, n. 2, p. 463-472-
dc.identifier.issn0360-3016-
dc.identifier.urihttp://hdl.handle.net/10722/266790-
dc.description.abstract© 2017 Elsevier Inc. Purpose To investigate early tumor and normal tissue responses during the course of radiation therapy (RT) for lung cancer using quantitative analysis of daily computed tomography (CT) scans. Methods and Materials Daily diagnostic-quality CT scans acquired using CT-on-rails during CT-guided RT for 20 lung cancer patients were quantitatively analyzed. On each daily CT set, the contours of the gross tumor volume (GTV) and lungs were generated and the radiation dose delivered was reconstructed. The changes in CT image intensity (Hounsfield unit [HU]) features in the GTV and the multiple normal lung tissue shells around the GTV were extracted from the daily CT scans. The associations between the changes in the mean HUs, GTV, accumulated dose during RT delivery, and patient survival rate were analyzed. Results During the RT course, radiation can induce substantial changes in the HU histogram features on the daily CT scans, with reductions in the GTV mean HUs (dH) observed in the range of 11 to 48 HU (median 30). The dH is statistically related to the accumulated GTV dose (R2 > 0.99) and correlates weakly with the change in GTV (R2 = 0.3481). Statistically significant increases in patient survival rates (P=.038) were observed for patients with a higher dH in the GTV. In the normal lung, the 4 regions proximal to the GTV showed statistically significant (P<.001) HU reductions from the first to last fraction. Conclusion Quantitative analysis of the daily CT scans indicated that the mean HUs in lung tumor and surrounding normal tissue were reduced during RT delivery. This reduction was observed in the early phase of the treatment, is patient specific, and correlated with the delivered dose. A larger HU reduction in the GTV correlated significantly with greater patient survival. The changes in daily CT features, such as the mean HU, can be used for early assessment of the radiation response during RT delivery for lung cancer.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Radiation Oncology Biology Physics-
dc.titleEarly Assessment of Treatment Responses During Radiation Therapy for Lung Cancer Using Quantitative Analysis of Daily Computed Tomography-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijrobp.2017.02.032-
dc.identifier.pmid28463166-
dc.identifier.scopuseid_2-s2.0-85018356175-
dc.identifier.volume98-
dc.identifier.issue2-
dc.identifier.spage463-
dc.identifier.epage472-
dc.identifier.eissn1879-355X-
dc.identifier.isiWOS:000403081600030-
dc.identifier.issnl0360-3016-

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