Spatial heterogeneity of the volume effect for radiation pneumonitis in mouse lung

Travis, Elizabeth L.; Liao, Z.; Tucker, Susan L.

doi:10.1016/s0360-3016(97)00130-2

Cited by 71 publications

(51 citation statements)

References 24 publications

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“…The present analysis was based on data published by Travis et al [11] and Liao et al [12]. Their studies addressed the effect of partial-volume lung irradiation on the incidence of radiation pneumonitis in mice, as assessed by elevated breathing rate 22 weeks after irradiation and lethality within 28 weeks.…”

Section: Experimental Datamentioning

confidence: 99%

“…Their studies addressed the effect of partial-volume lung irradiation on the incidence of radiation pneumonitis in mice, as assessed by elevated breathing rate 22 weeks after irradiation and lethality within 28 weeks. In those studies, different subvolumes were irradiated in the apex, base, and the middle region of the lung, as described by Travis et al [11].…”

Section: Experimental Datamentioning

confidence: 99%

“…Tucker et al [13] used the lethality data [11,12] to estimate the spatial distribution of target cells. In their analysis, all target cells were assumed to have the same radiosensitivity.…”

Section: Fsu Inactivation Modelmentioning

confidence: 99%

“…Reduced volume of irradiated lung may, however, reduce the toxicity, as the probability of most late endpoints in lung is dependent on the irradiated volume as well as the dose level. Still, the tolerance dose to partial volume irradiation and the impact of irradiated volume is not known to the full extent [11]. The mouse lung has been regarded as a reasonable model for studies on late sequela of the human lung.…”

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confidence: 99%

“…In the current paper, we have analysed the data on radiation-induced altered breathing rate and lethal pneumonitis following partial volume irradiation of the mouse lung published by Travis et al [11] and Liao et al [12]. In this analysis, the reliability model was applied in order to establish the critical fraction (k /N ) for the two endpoints, as well as spatial distribution of FSUs, and spatial distribution of FSU inactivation probability.…”

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confidence: 99%

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Analysis of normal tissue complication probability of the lung using a reliability model

Vågane

Olsen

2006

Acta Oncologica

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Section: Experimental Datamentioning

confidence: 99%

Section: Experimental Datamentioning

confidence: 99%

“…Tucker et al [13] used the lethality data [11,12] to estimate the spatial distribution of target cells. In their analysis, all target cells were assumed to have the same radiosensitivity.…”

Section: Fsu Inactivation Modelmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Analysis of normal tissue complication probability of the lung using a reliability model

Vågane

Olsen

2006

Acta Oncologica

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Computed tomographic evaluation of radiation pneumonitis in a canine model

Forrest

Mahler

Vail

et al. 1998

Radiat. Oncol. Investig.

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The objective of this study was to document the utility of computed tomography (CT) and a three‐dimensional (3‐D) radiotherapy treatment planning system for assessing the development of acute radiation pneumonitis in a canine model. Fourteen dogs were randomly assigned to a nonirradiated control group or one of three radiation dose groups receiving a single fraction of either 12, 15, or 18 Gy delivered to two‐thirds of the right hemithorax. CT and survey radiographs were performed in all dogs prior to and at defined intervals for up to 13 weeks following irradiation. All images were subjectively evaluated for development of radiation pneumonitis and CT images were quantitatively analyzed. Radiation pneumonitis was detected earlier with CT images than with radiographs. Quantitatively, functional lung volume and radiation pneumonitis lesion volume on CT images changed over time in all irradiated dogs. However, there was no statistically significant difference between the three radiation dose groups, but a marked difference between irradiated dogs and nonirradiated controls. These data suggest that CT is superior to survey radiography for the evaluation and quantification of acute radiation pneumonitis in this canine model. Quantification of acute radiation pneumonitis suggests future promise for evaluating the efficacy of modifiers to lessen the effects of irradiating normal lung tissue in this canine model. Radiat. Oncol. Invest. 6:128–134, 1998. © 1998 Wiley‐Liss, Inc.

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Prevention and treatment of radiotherapy‐induced side effects

2020

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Radiotherapy remains a mainstay of cancer treatment, being used in roughly 50% of patients. The precision with which the radiation dose can be delivered is rapidly improving. This precision allows the more accurate targeting of radiation dose to the tumor and reduces the amount of surrounding normal tissue exposed. Although this often reduces the unwanted side effects of radiotherapy, we still need to further improve patients' quality of life and to escalate radiation doses to tumors when necessary. Highprecision radiotherapy forces one to choose which organ or functional organ substructures should be spared. To be able to make such choices, we urgently need to better understand the molecular and physiological mechanisms of normal tissue responses to radiotherapy. Currently, oversimplified approaches using constraints on mean doses, and irradiated volumes of normal tissues are used to plan treatments with minimized risk of radiation side effects. In this review, we discuss the responses of three different normal tissues to radiotherapy: the salivary glands, cardiopulmonary system, and brain. We show that although they may share very similar local cellular processes, they respond very differently through organ-specific, nonlocal mechanisms. We also discuss how a better knowledge of these mechanisms can be used to treat or to prevent the effects of radiotherapy on normal tissue and to optimize radiotherapy delivery.

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Spatial heterogeneity of the volume effect for radiation pneumonitis in mouse lung

Cited by 71 publications

References 24 publications

Analysis of normal tissue complication probability of the lung using a reliability model

Analysis of normal tissue complication probability of the lung using a reliability model

Computed tomographic evaluation of radiation pneumonitis in a canine model

Prevention and treatment of radiotherapy‐induced side effects

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