title: A two-variable linear model of parotid shrinkage during IMRT for head and neck cancer.
abstract: OBJECTIVE
  To assess anatomical, clinical and dosimetric pre-treatment parameters, possibly predictors of parotid shrinkage during radiotherapy of head and neck cancer (HNC).
  
  
  METHODS
  Data of 174 parotids from four institutions were analysed; patients were treated with IMRT, with radical and adjuvant intent. Parotid shrinkage was evaluated by the volumetric difference (DeltaV) between parotid volumes at the end and those at the start of the therapy, as assessed by CT images (MVCT for 40 patients, KVCT for 47 patients). Correlation between DeltaVcc/% and a number of dosimetric, clinical and geometrical parameters was assessed. Univariate as well as stepwise logistic multivariate (MVA) analyses were performed by considering as an end-point a DeltaVcc/% larger than the median value. Linear models of DeltaV (continuous variable) based on the most predictive variables found at the MVA were developed.
  
  
  RESULTS
  Median DeltaVcc/% were 6.95 cc and 26%, respectively. The most predictive independent variables of DeltaVcc at MVA were the initial parotid volume (IPV, OR: 1.100; p=0.0002) and Dmean (OR: 1.059; p=0.038). The main independent predictors of DeltaV% at MVA were age (OR: 0.968; p=0.041) and V40 (OR: 1.0338; p=0.013). DeltaVcc and DeltaV% may be well described by the equations: DeltaVcc=-2.44+0.076 Dmean (Gy)+0.279 IPV (cc) and DeltaV%=34.23+0.192 V40 (%)-0.2203 age (year). The predictive power of the DeltaVcc model is higher than that of the DeltaV% model.
  
  
  CONCLUSIONS
  IPV/age and Dmean/V40 are the major dosimetric and clinical/anatomic predictors of DeltaVcc and DeltaV%. DeltaVcc and DeltaV% may be well described by bi-linear models including the above-mentioned variables.
authors.affiliation: Medical Physics Department, San Raffaele Scientific Institute, Milano, Italy. broggi.sara@hsr.it
authors.forename: Sara
authors.initials: S
authors.lastname: Broggi
authors.forename: Claudio
authors.initials: C
authors.lastname: Fiorino
authors.forename: Italo
authors.initials: I
authors.lastname: Dell'Oca
authors.forename: Nicola
authors.initials: N
authors.lastname: Dinapoli
authors.forename: Marta
authors.initials: M
authors.lastname: Paiusco
authors.forename: Alessandro
authors.initials: A
authors.lastname: Muraglia
authors.forename: Eleonora
authors.initials: E
authors.lastname: Maggiulli
authors.forename: Francesco
authors.initials: F
authors.lastname: Ricchetti
authors.forename: Vincenzo
authors.initials: V
authors.lastname: Valentini
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Sanguineti
authors.forename: Giovanni Mauro
authors.initials: GM
authors.lastname: Cattaneo
authors.forename: Nadia
authors.initials: N
authors.lastname: Di Muzio
authors.forename: Riccardo
authors.initials: R
authors.lastname: Calandrino
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019583:Dose Fractionation, Radiation; D005260:Female; D006258:Head and Neck Neoplasms / Q000532:radiotherapy*; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010306:Parotid Gland / Q000528:radiation effects*; D011874:Radiometry / Q000379:methods; D011879:Radiotherapy Dosage; D050397:Radiotherapy, Intensity-Modulated / Q000379:methods*