Comparison of predicted and clinical response to radiotherapy: a radiobiology modelling study.

• INTRODUCTION: A model to predict clinical outcome after radiation therapy would be a valuable aid in the effort of developing more tailored treatment regimes for different patients. In this work we evaluate the clinical utility of a model that incorporates the following individually measured radiobiology parameters: intrinsic radiosensitivity, proliferation and number of clonogenic cells. The hypothesis underlying the study was that the incorporation of individually measured tumour parameters in a model would increase its reliability in predicting treatment outcome compared with the use of average population derived data. MATERIAL AND METHODS: Forty-six patients with head and neck tumours were analyzed, the majority of whom received both external beam radiotherapy and brachytherapy. Eighteen patients received external beam treatment alone and statistical analyses were carried out on this subgroup. RESULTS: Four of the 18 patients had a >95% calculated probability of cure and none developed a local recurrence resulting in a negative predictive value of 100% (compared with 67% for population-derived data). The sensitivity of the model in predicting local recurrence was 75% (compared with 38% for population-derived data). Using a model that incorporated individually measured radiobiology data, there was a statistically significant difference in local control levels for patients with >95% and <5% predicted probability of local control (chi(2), p = 0.04). DISCUSSION: This study suggests, therefore, that incorporation of measured biological data within a radiobiological model improves its ability to predict radiation therapy outcome compared with the use of population-derived data.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

Brachytherapy

Dose-Response Relationship

Radiation

Head and Neck Neoplasms

prevention & control

radiotherapy

Humans

Mathematical Computing

Models

Statistical

Neoplasm Recurrence

Local

prevention & control

psychology

Neoplastic Stem Cells

radiation effects

Predictive Value of Tests

Radiation Injuries

etiology

prevention & control

Radiation Protection

Radiation Tolerance

Radiobiology

Radiotherapy

methods

Radiotherapy Dosage

Radiotherapy Planning

Computer-Assisted

Relative Biological Effectiveness

Sensitivity and Specificity

MEDICINE

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