Cargando…

Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications

Background: This study aimed to analyze differential radiotherapy (RT) responses according to the pathological type of lung cancer to see the possibility of applying adaptive radiotherapy (ART). Methods: ART planning with resampled-computed tomography was conducted for a total of 30 patients (20 non...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Woo Chul, Won, Yong Kyun, Lee, Sang Mi, Heo, Nam Hun, Yeo, Seung-Gu, Chang, Ah Ram, Bae, Sun Hyun, Kim, Jae Sik, Yoo, Ik Dong, Hong, Sun-pyo, Min, Chul Kee, Jo, In Young, Kim, Eun Seog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527903/
https://www.ncbi.nlm.nih.gov/pubmed/37761323
http://dx.doi.org/10.3390/diagnostics13182956
_version_ 1785111205877121024
author Kim, Woo Chul
Won, Yong Kyun
Lee, Sang Mi
Heo, Nam Hun
Yeo, Seung-Gu
Chang, Ah Ram
Bae, Sun Hyun
Kim, Jae Sik
Yoo, Ik Dong
Hong, Sun-pyo
Min, Chul Kee
Jo, In Young
Kim, Eun Seog
author_facet Kim, Woo Chul
Won, Yong Kyun
Lee, Sang Mi
Heo, Nam Hun
Yeo, Seung-Gu
Chang, Ah Ram
Bae, Sun Hyun
Kim, Jae Sik
Yoo, Ik Dong
Hong, Sun-pyo
Min, Chul Kee
Jo, In Young
Kim, Eun Seog
author_sort Kim, Woo Chul
collection PubMed
description Background: This study aimed to analyze differential radiotherapy (RT) responses according to the pathological type of lung cancer to see the possibility of applying adaptive radiotherapy (ART). Methods: ART planning with resampled-computed tomography was conducted for a total of 30 patients (20 non-small-cell lung cancer patients and 10 small-cell lung cancer patients) using a deformable image registration technique to reveal gross tumor volume (GTV) changes according to the duration of RT. Results: The small-cell lung cancer group demonstrated an average GTV reduction of 20.95% after the first week of initial treatment (p = 0.001), whereas the adenocarcinoma and squamous cell carcinoma groups showed an average volume reduction of 20.47% (p = 0.015) and 12.68% in the second week. The application of ART according to the timing of GTV reduction has been shown to affect changes in radiation dose irradiated to normal tissues. This suggests that ART applications may have to be different depending on pathological differences in lung cancer. Conclusion: Through these results, the present study proposes the possibility of personalized treatment options for individual patients by individualizing ART based on specific radiation responses by pathologic types of lung cancer.
format Online
Article
Text
id pubmed-10527903
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-105279032023-09-28 Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications Kim, Woo Chul Won, Yong Kyun Lee, Sang Mi Heo, Nam Hun Yeo, Seung-Gu Chang, Ah Ram Bae, Sun Hyun Kim, Jae Sik Yoo, Ik Dong Hong, Sun-pyo Min, Chul Kee Jo, In Young Kim, Eun Seog Diagnostics (Basel) Article Background: This study aimed to analyze differential radiotherapy (RT) responses according to the pathological type of lung cancer to see the possibility of applying adaptive radiotherapy (ART). Methods: ART planning with resampled-computed tomography was conducted for a total of 30 patients (20 non-small-cell lung cancer patients and 10 small-cell lung cancer patients) using a deformable image registration technique to reveal gross tumor volume (GTV) changes according to the duration of RT. Results: The small-cell lung cancer group demonstrated an average GTV reduction of 20.95% after the first week of initial treatment (p = 0.001), whereas the adenocarcinoma and squamous cell carcinoma groups showed an average volume reduction of 20.47% (p = 0.015) and 12.68% in the second week. The application of ART according to the timing of GTV reduction has been shown to affect changes in radiation dose irradiated to normal tissues. This suggests that ART applications may have to be different depending on pathological differences in lung cancer. Conclusion: Through these results, the present study proposes the possibility of personalized treatment options for individual patients by individualizing ART based on specific radiation responses by pathologic types of lung cancer. MDPI 2023-09-15 /pmc/articles/PMC10527903/ /pubmed/37761323 http://dx.doi.org/10.3390/diagnostics13182956 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Woo Chul
Won, Yong Kyun
Lee, Sang Mi
Heo, Nam Hun
Yeo, Seung-Gu
Chang, Ah Ram
Bae, Sun Hyun
Kim, Jae Sik
Yoo, Ik Dong
Hong, Sun-pyo
Min, Chul Kee
Jo, In Young
Kim, Eun Seog
Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications
title Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications
title_full Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications
title_fullStr Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications
title_full_unstemmed Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications
title_short Evaluating the Necessity of Adaptive RT and the Role of Deformable Image Registration in Lung Cancer with Different Pathologic Classifications
title_sort evaluating the necessity of adaptive rt and the role of deformable image registration in lung cancer with different pathologic classifications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527903/
https://www.ncbi.nlm.nih.gov/pubmed/37761323
http://dx.doi.org/10.3390/diagnostics13182956
work_keys_str_mv AT kimwoochul evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT wonyongkyun evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT leesangmi evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT heonamhun evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT yeoseunggu evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT changahram evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT baesunhyun evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT kimjaesik evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT yooikdong evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT hongsunpyo evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT minchulkee evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT joinyoung evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications
AT kimeunseog evaluatingthenecessityofadaptivertandtheroleofdeformableimageregistrationinlungcancerwithdifferentpathologicclassifications