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Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT

BACKGROUND AND PURPOSE: We aimed to analyze the influence of target‐related and clinical factors on lung tumor motion based on four‐dimensional CT (4DCT), and clarify the motion based on subgroups in lung stereotactic body radiation therapy. MATERIALS AND METHODS: 4DCT image data of 267 tumors from...

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Autores principales: Li, Fengxiang, Qu, Yanlin, Zhang, Tingting, Cui, Zhen, Sun, Xin, Zhang, Tao, Li, Jianbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525155/
https://www.ncbi.nlm.nih.gov/pubmed/34519169
http://dx.doi.org/10.1002/cam4.4255
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author Li, Fengxiang
Qu, Yanlin
Zhang, Tingting
Cui, Zhen
Sun, Xin
Zhang, Tao
Li, Jianbin
author_facet Li, Fengxiang
Qu, Yanlin
Zhang, Tingting
Cui, Zhen
Sun, Xin
Zhang, Tao
Li, Jianbin
author_sort Li, Fengxiang
collection PubMed
description BACKGROUND AND PURPOSE: We aimed to analyze the influence of target‐related and clinical factors on lung tumor motion based on four‐dimensional CT (4DCT), and clarify the motion based on subgroups in lung stereotactic body radiation therapy. MATERIALS AND METHODS: 4DCT image data of 267 tumors from 246 patients were analyzed. The coordinates in the left–right (LR), anterior–posterior (AP), and cranial–caudal (CC) directions of the center of mass (COM) of the gross tumor volumes in 10 phases of 4DCT were measured. The peak‐to‐peak COM displacement in the LR, AP, CC, and 3D directions was calculated. The influence of target‐related and clinical factors on tumor motion was evaluated using multivariate analysis. RESULTS: The tumor segment location correlated with the tumor motion in each direction. Tumor size was predictive of tumor motion in the 3D (p = 0.023) and AP directions (p = 0.049). The tumor motion for metastatic tumors was smaller than that for primary tumors in the LR (p = 0.019) and AP directions (p = 0.008). The CC motion for pulmonary surgery recipients (3.8 ± 4.5 mm) was less than that for patients who had not undergone surgery (5.6 ± 5.4 mm), and no significant clinical factor was observed. BSA and BMI were positively correlated with the motion in the CC (p = 0.02) and LR directions (p = 0.002). CONCLUSION: The tumor segment location was a good predictor of tumor motion. A larger tumor tends to have a smaller motion. Patients with metastatic tumors or those who have undergone pulmonary surgery exhibited smaller and more unpredictable tumor motions, which required individual assessments. Thus, clinical factors can potentially predict tumor motion.
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spelling pubmed-85251552021-10-26 Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT Li, Fengxiang Qu, Yanlin Zhang, Tingting Cui, Zhen Sun, Xin Zhang, Tao Li, Jianbin Cancer Med Clinical Cancer Researcher BACKGROUND AND PURPOSE: We aimed to analyze the influence of target‐related and clinical factors on lung tumor motion based on four‐dimensional CT (4DCT), and clarify the motion based on subgroups in lung stereotactic body radiation therapy. MATERIALS AND METHODS: 4DCT image data of 267 tumors from 246 patients were analyzed. The coordinates in the left–right (LR), anterior–posterior (AP), and cranial–caudal (CC) directions of the center of mass (COM) of the gross tumor volumes in 10 phases of 4DCT were measured. The peak‐to‐peak COM displacement in the LR, AP, CC, and 3D directions was calculated. The influence of target‐related and clinical factors on tumor motion was evaluated using multivariate analysis. RESULTS: The tumor segment location correlated with the tumor motion in each direction. Tumor size was predictive of tumor motion in the 3D (p = 0.023) and AP directions (p = 0.049). The tumor motion for metastatic tumors was smaller than that for primary tumors in the LR (p = 0.019) and AP directions (p = 0.008). The CC motion for pulmonary surgery recipients (3.8 ± 4.5 mm) was less than that for patients who had not undergone surgery (5.6 ± 5.4 mm), and no significant clinical factor was observed. BSA and BMI were positively correlated with the motion in the CC (p = 0.02) and LR directions (p = 0.002). CONCLUSION: The tumor segment location was a good predictor of tumor motion. A larger tumor tends to have a smaller motion. Patients with metastatic tumors or those who have undergone pulmonary surgery exhibited smaller and more unpredictable tumor motions, which required individual assessments. Thus, clinical factors can potentially predict tumor motion. John Wiley and Sons Inc. 2021-09-14 /pmc/articles/PMC8525155/ /pubmed/34519169 http://dx.doi.org/10.1002/cam4.4255 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Researcher
Li, Fengxiang
Qu, Yanlin
Zhang, Tingting
Cui, Zhen
Sun, Xin
Zhang, Tao
Li, Jianbin
Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT
title Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT
title_full Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT
title_fullStr Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT
title_full_unstemmed Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT
title_short Evaluation of lung tumor motion in a large sample: Target‐related and clinical factors influencing tumor motion based on four‐dimensional CT
title_sort evaluation of lung tumor motion in a large sample: target‐related and clinical factors influencing tumor motion based on four‐dimensional ct
topic Clinical Cancer Researcher
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525155/
https://www.ncbi.nlm.nih.gov/pubmed/34519169
http://dx.doi.org/10.1002/cam4.4255
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