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.
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 cancerpatients. 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.
Authors: Keith L Miller; Timothy D Shafman; Mitchell S Anscher; Su-Min Zhou; Robert W Clough; Jennifer L Garst; Jeffrey Crawford; Julian Rosenman; Mark A Socinski; William Blackstock; Gregory S Sibley; Lawrence B Marks Journal: Int J Radiat Oncol Biol Phys Date: 2005-01-01 Impact factor: 7.038
Authors: Judith A Christian; Mike Partridge; Elena Nioutsikou; Gary Cook; Helen A McNair; Bernadette Cronin; Frederic Courbon; James L Bedford; Michael Brada Journal: Radiother Oncol Date: 2005-11-07 Impact factor: 6.280
Authors: Joe Y Chang; Suresh Senan; Marinus A Paul; Reza J Mehran; Alexander V Louie; Peter Balter; Harry J M Groen; Stephen E McRae; Joachim Widder; Lei Feng; Ben E E M van den Borne; Mark F Munsell; Coen Hurkmans; Donald A Berry; Erik van Werkhoven; John J Kresl; Anne-Marie Dingemans; Omar Dawood; Cornelis J A Haasbeek; Larry S Carpenter; Katrien De Jaeger; Ritsuko Komaki; Ben J Slotman; Egbert F Smit; Jack A Roth Journal: Lancet Oncol Date: 2015-05-13 Impact factor: 41.316
Authors: Sarah M McGuire; Sumin Zhou; Lawrence B Marks; Mark Dewhirst; Fang-Fang Yin; Shiva K Das Journal: Int J Radiat Oncol Biol Phys Date: 2006-12-01 Impact factor: 7.038
Authors: Junan Zhang; Jinli Ma; Sumin Zhou; Jessica L Hubbs; Terence Z Wong; Rodney J Folz; Elizabeth S Evans; Ronald J Jaszczak; Robert Clough; Lawrence B Marks Journal: Int J Radiat Oncol Biol Phys Date: 2009-07-23 Impact factor: 7.038
Authors: Katherina P Farr; Jesper F Kallehauge; Ditte S Møller; Azza A Khalil; Stine Kramer; Henrik Bluhme; Anni Morsing; Cai Grau Journal: Radiother Oncol Date: 2015-08-21 Impact factor: 6.280
Authors: Eric M Wallat; Antonia E Wuschner; Mattison J Flakus; Gary E Christensen; Joseph M Reinhardt; Dhanansayan Shanmuganayagam; John E Bayouth Journal: Biomed Phys Eng Express Date: 2021-10-29
Authors: Esther M Vicente; Arezoo Modiri; John Kipritidis; Kun-Chang Yu; Kai Sun; Jochen Cammin; Arun Gopal; Jingzhu Xu; Sina Mossahebi; Aaron Hagan; Yulong Yan; Daniel Rockwell Owen; Pranshu Mohindra; Martha M Matuszak; Robert D Timmerman; Amit Sawant Journal: Int J Radiat Oncol Biol Phys Date: 2022-03-09 Impact factor: 8.013
Authors: Eric M Wallat; Mattison J Flakus; Antonia E Wuschner; Wei Shao; Gary E Christensen; Joseph M Reinhardt; Andrew M Baschnagel; John E Bayouth Journal: Med Phys Date: 2020-04-13 Impact factor: 4.506
Authors: Antonia E Wuschner; Mattison J Flakus; Eric M Wallat; Joseph M Reinhardt; Dhanansayan Shanmuganayagam; Gary E Christensen; John E Bayouth Journal: J Pers Med Date: 2022-07-30