Virtual Bronchoscopy-Guided Treatment Planning to Map and Mitigate Radiation-Induced Airway Injury in Lung SAbR

被引:13
作者
Kazemzadeh, Narges [1 ]
Modiri, Arezoo [1 ]
Samanta, Santanu [1 ]
Yan, Yulong [2 ]
Bland, Ross [2 ]
Rozario, Timothy [2 ]
Wibowo, Henky [3 ]
Iyengar, Puneeth [2 ]
Ahn, Chul [2 ]
Timmerman, Robert [2 ]
Sawant, Amit [1 ]
机构
[1] Univ Maryland, Sch Med, Baltimore, MD 20742 USA
[2] UT Southwestern Med Ctr, Dallas, TX USA
[3] Broncus Med Inc, San Jose, CA USA
来源
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2018年 / 102卷 / 01期
关键词
FUNCTIONAL AVOIDANCE; ABLATIVE RADIOTHERAPY; PERFUSION SPECT; THERAPY SBRT; PHASE-II; CANCER; TOXICITY; PNEUMONITIS; IRRADIATION; REDUCTION;
D O I
10.1016/j.ijrobp.2018.04.060
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: Radiation injury to the bronchial tree is an important yet poorly understood potential side effect in lung stereotactic ablative radiation therapy (SAbR). We investigate the integration of virtual bronchoscopy in radiation therapy planning to quantify dosage to individual airways. We develop a risk model of airway collapse and develop treatment plans that reduce the risk of radiation-induced airway injury. Methods and Materials: Pre-and post-SAbR diagnostic-quality computerized tomography (CT) scans were retrospectively collected from 26 lung cancer patients. From each scan, the bronchial tree was segmented using a virtual bronchoscopy system and registered deformably to the planning CT. Univariate and stepwise multivariate Cox regressions were performed, examining factors such as age, comorbidities, smoking pack years, airway diameter, and maximum point dosage (Dmax). Logistic regression was utilized to formulate a risk function of segmental collapse based on Dmax and diameter. The risk function was incorporated into the objective function along with clinical dosage volume constraints for planning target volume (PTV) and organs at risk (OARs). Results: Univariate analysis showed that segmental diameter (P =.014) and Dmax (P =.007) were significantly correlated with airway segment collapse. Multivariate stepwise Cox regression showed that diameter (P =.015), Dmax (P <.0001), and pack/years of smoking (P =.02) were significant independent factors associated with collapse. Risk management-based plans enabled significant dosage reduction to individual airway segments while fulfilling clinical dosimetric objectives. Conclusion: To our knowledge, this is the first systematic investigation of functional avoidance in lung SAbR based on mapping and minimizing doses to individual bronchial segments. Our early results show that it is possible to substantially lower airway dosage. Such dosage reduction may potentially reduce the risk of radiation-induced airway injury, while satisfying clinically prescribed dosimetric objectives. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:210 / 218
页数:9
相关论文
共 10 条
  • [1] Virtual bronchoscopy-guided lung SAbR: dosimetric implications of using AAA versus Acuros XB to calculate dose in airways
    Kinkopf, P.
    Modiri, A.
    Yu, Kun-Chang
    Yan, Y.
    Mohindra, P.
    Timmerman, R.
    Sawant, A.
    Vicente, E.
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2021, 7 (06)
  • [2] Prevention and treatment of radiation-induced lung injury
    Xia, Chengcheng
    Shi, Weiyan
    Zhang, Yuyu
    Ding, Lijuan
    Gao, Ling
    Wang, Qiang
    Shao, Lihong
    Dong, Lihua
    Gao, Yan
    FUTURE MEDICINAL CHEMISTRY, 2020, 12 (23) : 2161 - 2173
  • [3] Exploration of radiation-induced lung injury, from mechanism to treatment: a narrative review
    Yan, Yujie
    Fu, Jiamei
    Kowalchuk, Roman O.
    Wright, Christopher M.
    Zhang, Ran
    Li, Xuefei
    Xu, Yaping
    TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 11 (02) : 307 - 322
  • [4] Radiation-induced lung damage - Clinical risk profiles and predictive imaging on their way to risk-adapted individualized treatment planning?
    Ebert, Nadja
    Baumann, Michael
    Troost, Esther G. C.
    RADIOTHERAPY AND ONCOLOGY, 2015, 117 (01) : 1 - 3
  • [5] Cerium Oxide Nanoparticles: A Potential Medical Countermeasure to Mitigate Radiation-Induced Lung Injury in CBA/J Mice
    Xu, P-T.
    Maidment, B. W., III
    Antonic, V.
    Jackson, I. L.
    Das, S.
    Zodda, A.
    Zhang, X.
    Seal, S.
    Vujaskovic, Z.
    RADIATION RESEARCH, 2016, 185 (05) : 516 - 526
  • [6] Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy
    Bousabarah, Khaled
    Temming, Susanne
    Hoevels, Mauritius
    Borggrefe, Jan
    Baus, Wolfgang W.
    Ruess, Daniel
    Visser-Vandewalle, Veerle
    Ruge, Maximilian
    Kocher, Martin
    Treuer, Harald
    STRAHLENTHERAPIE UND ONKOLOGIE, 2019, 195 (09) : 830 - 842
  • [7] Consecutive CT-guided core needle tissue biopsy of lung lesions in the same dog at different phases of radiation-induced lung injury
    Yin, Zhongyuan
    Deng, Sisi
    Liang, Zhiwen
    Wang, Qiong
    JOURNAL OF RADIATION RESEARCH, 2016, 57 (05) : 499 - 504
  • [8] Radiation-induced lung injury after breast cancer treatment: incidence in the CANTO-RT cohort and associated clinical and dosimetric risk factors
    Gueiderikh, Anna
    Sarrade, Thomas
    Kirova, Youlia
    De La Lande, Brigitte
    De Vathaire, Florent
    Auzac, Guillaume
    Martin, Anne Laure
    Everhard, Sibille
    Meillan, Nicolas
    Bourgier, Celine
    Benyoucef, Ahmed
    Lacornerie, Thomas
    Pasquier, David
    Racadot, Severine
    Moignier, Alexandra
    Paris, Francois
    Andre, Fabrice
    Deutsch, Eric
    Duchemann, Boris
    Allodji, Rodrigue Setcheou
    Rivera, Sofia
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [9] Risk factors for radiation-induced lung injury in patients with advanced non-small cell lung cancer: implication for treatment strategies
    Sha, Sha
    Dong, Jigang
    Wang, Maoyu
    Chen, Ziyu
    Gao, Peng
    WORLD JOURNAL OF SURGICAL ONCOLOGY, 2021, 19 (01)
  • [10] Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy; [Radiomics-Analyse von Planungs-Computertomogrammen zur Vorhersage von strahleninduzierter Lungenschädigung und onkologischem Ergebnis bei Lungenkrebspatienten nach robotischer stereotaktischer Strahlentherapie]
    Bousabarah K.
    Temming S.
    Hoevels M.
    Borggrefe J.
    Baus W.W.
    Ruess D.
    Visser-Vandewalle V.
    Ruge M.
    Kocher M.
    Treuer H.
    Strahlentherapie und Onkologie, 2019, 195 (9) : 830 - 842