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Article: Comparison of predictive powers of functional and anatomic dosimetric parameters for radiation-induced lung toxicity in locally advanced non-small cell lung cancer

TitleComparison of predictive powers of functional and anatomic dosimetric parameters for radiation-induced lung toxicity in locally advanced non-small cell lung cancer
Authors
KeywordsRadiation-induced lung toxicity
DVH
NSCLC
DFH
Q-SPECT
Issue Date2018
Citation
Radiotherapy and Oncology, 2018, v. 129, n. 2, p. 242-248 How to Cite?
Abstract© 2018 Purpose: To investigate the predictive value of the perfusion (Q) single-photon emission computed tomography (SPECT)-weighted dose–function histogram (DFH) obtained mid-treatment (mid-Tx) with radiotherapy (RT) for radiation-induced lung toxicity (RILT) in patients with non-small cell lung cancer (NSCLC). Materials and methods: The study population consisted of NSCLC patients who were undergoing RT treatment and enrolled in prospective imaging studies. Q-SPECT was performed prior to and during RT (at ∼40–45 Gy). A baseline dose–volume histogram (DVH) and mid-Tx DVH based on simulation CT as well as a baseline DFH and mid-Tx DFH based on Q-SPECT were calculated. Only patients with stage III NSCLC and visible functional lung (FL) changes on the mid-Tx scan were eligible for this enriched analysis. RILT was graded according to a reported scale. Results: Forty-two stage III NSCLC patients met the criteria for inclusion. The accumulative incidence of grade ≥2 RILT was 31% in this high-risk population. Significant differences in functional metrics such as functional lung volume FV5–FV20 at increments of 5 Gy and functional MLD (FMLD) were observed between patients with and without grade ≥2 RILT (p < 0.05). Similar results were also obtained for anatomical metrics from V5–V20 and MLD (p < 0.05). The areas under the receiver operating characteristic curves (AUCs) ranged from 0.724to 0.812 for baseline DVH parameters, from 0.745 to 0.830 for mid-Tx DVH parameters, from 0.764 to 0.878 for baseline DFH parameters, and from 0.767 to 0.891 for mid-Tx DFH parameters. Further principal components analysis showed that the AUCs were 0.814/0.817 and 0.790/0.857 for baseline/mid-Tx DVH and baseline/mid-Tx DFH, respectively. Conclusions: Mid-Tx DFH parameters based on Q-SPECT were significantly elevated in patients with grade ≥2 RILT in this study population. Among the metrics compared, mid-Tx DFH seemed to have better predictive accuracy, but this difference did not reach statistical difference.
Persistent Identifierhttp://hdl.handle.net/10722/266857
ISSN
2023 Impact Factor: 4.9
2023 SCImago Journal Rankings: 1.702
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXiao, Linlin-
dc.contributor.authorYang, Guoren-
dc.contributor.authorChen, Jinhu-
dc.contributor.authorYang, Yuchen-
dc.contributor.authorMeng, Xue-
dc.contributor.authorWang, Xiaohui-
dc.contributor.authorWu, Qingwei-
dc.contributor.authorHuo, Zongwei-
dc.contributor.authorYu, Qingxi-
dc.contributor.authorYu, Jinming-
dc.contributor.authorKong, Feng Ming (Spring)-
dc.contributor.authorYuan, Shuanghu-
dc.date.accessioned2019-01-31T07:19:49Z-
dc.date.available2019-01-31T07:19:49Z-
dc.date.issued2018-
dc.identifier.citationRadiotherapy and Oncology, 2018, v. 129, n. 2, p. 242-248-
dc.identifier.issn0167-8140-
dc.identifier.urihttp://hdl.handle.net/10722/266857-
dc.description.abstract© 2018 Purpose: To investigate the predictive value of the perfusion (Q) single-photon emission computed tomography (SPECT)-weighted dose–function histogram (DFH) obtained mid-treatment (mid-Tx) with radiotherapy (RT) for radiation-induced lung toxicity (RILT) in patients with non-small cell lung cancer (NSCLC). Materials and methods: The study population consisted of NSCLC patients who were undergoing RT treatment and enrolled in prospective imaging studies. Q-SPECT was performed prior to and during RT (at ∼40–45 Gy). A baseline dose–volume histogram (DVH) and mid-Tx DVH based on simulation CT as well as a baseline DFH and mid-Tx DFH based on Q-SPECT were calculated. Only patients with stage III NSCLC and visible functional lung (FL) changes on the mid-Tx scan were eligible for this enriched analysis. RILT was graded according to a reported scale. Results: Forty-two stage III NSCLC patients met the criteria for inclusion. The accumulative incidence of grade ≥2 RILT was 31% in this high-risk population. Significant differences in functional metrics such as functional lung volume FV5–FV20 at increments of 5 Gy and functional MLD (FMLD) were observed between patients with and without grade ≥2 RILT (p < 0.05). Similar results were also obtained for anatomical metrics from V5–V20 and MLD (p < 0.05). The areas under the receiver operating characteristic curves (AUCs) ranged from 0.724to 0.812 for baseline DVH parameters, from 0.745 to 0.830 for mid-Tx DVH parameters, from 0.764 to 0.878 for baseline DFH parameters, and from 0.767 to 0.891 for mid-Tx DFH parameters. Further principal components analysis showed that the AUCs were 0.814/0.817 and 0.790/0.857 for baseline/mid-Tx DVH and baseline/mid-Tx DFH, respectively. Conclusions: Mid-Tx DFH parameters based on Q-SPECT were significantly elevated in patients with grade ≥2 RILT in this study population. Among the metrics compared, mid-Tx DFH seemed to have better predictive accuracy, but this difference did not reach statistical difference.-
dc.languageeng-
dc.relation.ispartofRadiotherapy and Oncology-
dc.subjectRadiation-induced lung toxicity-
dc.subjectDVH-
dc.subjectNSCLC-
dc.subjectDFH-
dc.subjectQ-SPECT-
dc.titleComparison of predictive powers of functional and anatomic dosimetric parameters for radiation-induced lung toxicity in locally advanced non-small cell lung cancer-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.radonc.2018.09.005-
dc.identifier.pmid30471708-
dc.identifier.scopuseid_2-s2.0-85056775977-
dc.identifier.volume129-
dc.identifier.issue2-
dc.identifier.spage242-
dc.identifier.epage248-
dc.identifier.eissn1879-0887-
dc.identifier.isiWOS:000452271400007-
dc.identifier.issnl0167-8140-

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