Critical volume model analysis of lung complication data from different strains of mice

The critical volume (CV) normal tissue complication probability (NTCP) model was used to fit experimental data on radiation pneumonitis in mice to test the model and determine the values of the model parameters characterizing the lung structure: relative critical volume and cell radiosensitivity. The entire lungs of mice from ten different strains were irradiated acutely and homogeneously to different doses. The experimental animals from the different strains expressed different radiation sensitivities, forming ten well-defined dose – response curves. The most widely accepted biological NTCP model (the individual CV NTCP) readily applicable to cases of acute uniform irradiation was used to fit all the individual dose – response curves simultaneously. To account for the apparent difference in the response of the different strains, it was assumed that the strains differed in their (cell) radiosensitivity. The maximum likelihood method of fitting was used. The obtained fit was statistically highly acceptable. The best-fit value of the relative critical volume, μ, was 78%, which is extremely close to the histologically observed value of around 72%. The values of radiosensitivity, α, ranged between 0.26 and 0.37 Gy – 1 for the different strains. The best-fit numbers of functional subunits (FSU) constituting the lung, N, and the number of cells in an FSU, No, were implausibly low: N = 9 and No = 23, respectively. The best-fit value of NoN was a very small number that was unlikely to correspond to the total number of cells comprising the lung, suggesting that a different interpretation of N and No was required. The individual CV model provided a simultaneous description of the individual responses of different mouse strains through assumed interindividual variability in α only. A new interpretation is given to the entities corresponding to No and N. NoN is interpreted as the number of certain elementary structures. These structures are considered to be equivalent to the classical functional subunit, which is much larger than a cell and plays a fundamental role in determining the radiation response of the organ. N is identified as the number of the few large subdivisions of the lungs, M = μN is the number that have to be damaged for the lung to fail. No is interpreted as the mean number of elementary structures (FSU) per large subdivision. This imposes a picture of damage to large, contiguous subdivisions containing many FSU, which is consistent with the histological appearance of the lungs of mice in respiratory distress. This picture is in marked contrast to the random distribution of small areas of damage expected for the small size of an FSU. This random distribution is characteristic of earlier stages of the development of radiation pneumonitis, suggesting that some additional process spreads injury from damaged FSU to adjacent, undamaged FSU during the terminal phase.

[1]  A Brahme,et al.  Tumour and normal tissue responses to fractionated non-uniform dose delivery. , 1992, International journal of radiation biology.

[2]  M. Mendelsohn Clinical Radiation Pathology , 1968 .

[3]  J. Van Dyk,et al.  Radiation pneumonitis following large single dose irradiation: a re-evaluation based on absolute dose to lung. , 1981, International journal of radiation oncology, biology, physics.

[4]  G K Svensson,et al.  Optimization of radiation therapy: integral-response of a model biological system. , 1982, International journal of radiation oncology, biology, physics.

[5]  A. Franko,et al.  The genetic basis of strain-dependent differences in the early phase of radiation injury in mouse lung. , 1991, Radiation research.

[6]  J. Moore,et al.  The high steepness of dose-response curves for late-responding normal tissues. , 1989, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[7]  H. Withers,et al.  Treatment volume and tissue tolerance. , 1988, International journal of radiation oncology, biology, physics.

[8]  A. Franko,et al.  Assessment of radiation-induced lung injury in mice using carbon monoxide uptake: correlation with histologically visible damage. , 1993, Radiation research.

[9]  Z. Liao,et al.  Estimation of the spatial distribution of target cells for radiation pneumonitis in mouse lung. , 1997, International journal of radiation oncology, biology, physics.

[10]  T. Brewin,et al.  Radiotherapy and oncology. , 1983, British medical journal.

[11]  A. Arden,et al.  Development of radiation pneumonitis. Time and dose factors. , 1962, Archives of pathology.

[12]  T. Rodman,et al.  Radiation Reaction in the Lung , 1960 .

[13]  S. Tucker,et al.  The relationship between functional assays of radiation response in the lung and target cell depletion. , 1986, The British journal of cancer. Supplement.

[14]  H C Yeh,et al.  Anatomic Models of the tracheobronchial and pulmonary regions of the rat , 1979, The Anatomical record.

[15]  T E Schultheiss,et al.  Models in radiotherapy: volume effects. , 1983, Medical physics.

[16]  G. Steel,et al.  The expression of early and late damage after thoracic irradiation: a comparison between CBA and C57B1 mice. , 1983, Radiation research.

[17]  R. Million,et al.  Bilateral radiation pneumonitis, a complication of the radiotherapy of bronchogenic carcinoma (report and analysis of seven cases with autopsy) , 1969, Cancer.

[18]  D. Olsen,et al.  Calculation of radiation induced complication probabilities for brain, liver and kidney, and the use of a reliability model to estimate critical volume fractions. , 1994, The British journal of radiology.

[19]  A. Franko,et al.  Irradiation of mouse lungs causes a dose-dependent increase in lung weight. , 1982, International journal of radiation oncology, biology, physics.

[20]  M Goitein,et al.  Generalization of a model of tissue response to radiation based on the idea of functional subunits and binomial statistics. , 2001, Physics in medicine and biology.

[21]  A. Franko,et al.  Development of fibrosis after lung irradiation in relation to inflammation and lung function in a mouse strain prone to fibrosis. , 1994, Radiation research.

[22]  A. Niemierko,et al.  Modeling of normal tissue response to radiation: the critical volume model. , 1993, International journal of radiation oncology, biology, physics.

[23]  G J Kutcher,et al.  Probability of radiation-induced complications in normal tissues with parallel architecture under conditions of uniform whole or partial organ irradiation. , 1993, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[24]  A. Franko,et al.  A quantitative histological study of strain-dependent differences in the effects of irradiation on mouse lung during the early phase. , 1989, Radiation research.

[25]  J. Lyman Complication probability as assessed from dose-volume histograms. , 1985, Radiation research. Supplement.

[26]  G J Kutcher,et al.  Probability of radiation-induced complications for normal tissues with parallel architecture subject to non-uniform irradiation. , 1993, Medical physics.

[27]  A. Franko,et al.  A quantitative histological study of strain-dependent differences in the effects of irradiation on mouse lung during the intermediate and late phases. , 1989, Radiation research.