Survey of the interventional cardiology procedures in Italy.

Interventional cardiology procedures are increasing because they offer many advantages to patients compared with other techniques: therefore the Italian National Institution for Insurance against Accidents at Work decided to start a survey for monitoring the state-of-the-art regarding the professionals involved in those procedures. The survey covered six cardiology and medical physics Italian departments. Each centre was asked to record 10 examinations for five types of procedures: coronary angiography (CA), electrophysiology studies (ES), pacemaker implantation (PI), percutaneous transluminal coronary angioplasty (PTCA) and radiofrequency catheter ablation (RA). For each examination all the centres were requested to fill in a questionnaire containing information regarding the operator performing the examination, the patient and the procedure. A total of 290 examinations were recorded: 103 CA, 14 ES, 68 PI, 79 PTCA and 26 RA. As occupational doses are strongly related to patient doses, both patients and operators radiation dose data are reported. Ratios of maximum to minimum mean patient doses across the hospitals surveyed were 2.0, 3.9, 7.0, 1.8 and 1.4 for CA, ES, PI, PTCA and RA, respectively. The calculated rounded mean dose-area product values across all participating hospitals were comparable with other values reported in the literature. In general, specific radiation protection tools were used by all operators performing different procedures in all hospitals. A major issue in this survey was the absence of information about correlation between staff and patient doses in a single procedure: future studies could be more aimed to prospective goals where occupational exposures per procedure are monitored specifically.

Late fecal incontinence after high-dose radiotherapy for prostate cancer: better prediction using longitudinal definitions.

PURPOSE: To model late fecal incontinence after high-dose prostate cancer radiotherapy (RT) in patients accrued in the AIROPROS (prostate working group of the Italian Association of Radiation Oncology) 0102 trial using different endpoint definitions. METHODS AND MATERIALS: The self-reported questionnaires (before RT, 1 month after RT, and every 6 months for ≤3 years after RT) of 586 patients were available. The peak incontinence (P_INC) and two longitudinal definitions (chronic incontinence [C_INC], defined as the persistence of Grade 1 or greater incontinence after any Grade 2-3 event; and mean incontinence score [M_INC], defined as the average score during the 3-year period after RT) were considered. The correlation between the clinical/dosimetric parameters (including rectal dose-volume histograms) and P_INC (Grade 2 or greater), C_INC, and M_INC of ≥1 were investigated using multivariate logistic analyses. Receiver operating characteristic curves and the area under the curve were used to assess the predictive value of the different multivariate models. RESULTS: Of the 586 patients, 36 with a Grade 1 or greater incontinence score before RT were not included in the present analysis. Of the 550 included patients, 197 (35.8%) had at least one control with a Grade 1 or greater incontinence score (M_INC >0). Of these 197 patients, 37 (6.7%), 22 (4.0%), and 17 (3.1%) were scored as having P_INC, M_INC ≥1, and C_INC, respectively. On multivariate analysis, Grade 2 or greater acute incontinence was the only predictor of P_INC (odds ratio [OR], 5.9; p = .0009). Grade 3 acute incontinence was predictive of C_INC (OR, 9.4; p = .02), and percentage of the rectal volume receiving >40 Gy of ≥80% was predictive of a M_INC of ≥1 (OR, 3.8; p = .008) and of C_INC (OR, 3.6; p = .03). Previous bowel disease, previous abdominal/pelvic surgery, and the use of antihypertensive (protective factor) correlated highly with both C_INC and M_INC ≥1. The predictive values of the models for C_INC (area under the curve, 0.83) and M_INC ≥1 (area under the curve, 0.73) were greater than the ones for P_INC (area under the curve, 0.62) and more reliable (p = .0001-.0003 against p = .02). Nomograms for the two longitudinal definitions were derived. CONCLUSIONS: The longitudinal definitions of fecal incontinence (C_INC and M_INC ≥1) were helpful in accounting for both the persistence and the severity of the incontinence. A significant fraction of peak events was consequential to acute incontinence, and a longer duration of symptoms mainly depended on the rectal dose bath (percentage of rectal volume receiving >40 Gy), and pretreatment clinical factors.

Inclusion of clinical risk factors into NTCP modelling of late rectal toxicity after high dose radiotherapy for prostate cancer.

BACKGROUND AND PURPOSE: To fit an NTCP model including clinical risk factors to late rectal toxicities after radiotherapy for prostate cancer. METHODS AND MATERIALS: Data of 669 patients were considered. The probability of late toxicity within 36months (bleeding and incontinence) was fitted with the original and a modified Logit-EUD model, including clinical factors by fitting a subset specific TD(50)s: the ratio of TD(50)s with and without including the clinical variable was the dose-modifying factor (D(mod)). RESULTS: Abdominal surgery (surg) was a risk factor for G2-G3 bleeding, reflecting in a TD(50)=82.7Gy and 88.4Gy for patients with and without surg (D(mod)=0.94; 0.90 for G3 bleeding); acute toxicity was also an important risk factor for G2-G3 bleeding (D(mod)=0.93). Concerning incontinence, surg and previous diseases of the colon were the clinical co-factors. D(mod)(surg) and D(mod)(colon) were 0.50 and 0.42, respectively for chronic incontinence and 0.73 and 0.64, respectively for mean incontinence score ⩾1. Best-fit n values were 0.03-0.05 and 1 for bleeding and incontinence, respectively. The inclusion of clinical factors always improved the predictive value of the models. CONCLUSIONS: The inclusion of predisposing clinical factors improves NTCP estimation; the assessment of other clinical and genetic factors will be useful to reduce parameter uncertainties.

Comparison between the ideal reference dose level and the actual reference dose level from clinical 3D radiotherapy treatment plans.

PURPOSE: Retrospective study of 3D clinical treatment plans based on radiobiological considerations in the choice of the reference dose level from tumor dose-volume histograms. METHODS AND MATERIALS: When a radiation oncologist evaluates the 3D dose distribution calculated by a treatment planning system, a decision must be made on the percentage dose level at which the prescribed dose should be delivered. Much effort is dedicated to deliver a dose as uniform as possible to the tumor volume. However due to the presence of critical organs, the result may be a rather inhomogeneous dose distribution throughout the tumor volume. In this study we use a formulation of tumor control probability (TCP) based on the linear quadratic model and on a parameter, the F factor. The F factor allows one to write TCP, from the heterogeneous dose distribution (TCP{(epsilon(j),D(j))}), as a function of TCP under condition of homogeneous irradiation of tumor volume (V) with dose D (TCP(V,D)). We used the expression of the F factor to calculate the "ideal" percentage dose level (iDL(r)) to be used as reference level for the prescribed dose D delivery, so as to render TCP{(epsilon(j),D(j))} equal to TCP(V,D). The 3D dose distributions of 53 clinical treatment plans were re-evaluated to derive the iDL(r) and to compare it with the one (D(tp)L) to which the dose was actually administered. RESULTS: For the majority of prostate treatments, we observed a low overdosing following the choice of a D(tp)L lower than the iDL(r.) While for the breast and head-and-neck treatments, the method showed that in many cases we underdosed choosing a D(tp)L greater than the iDL(r). The maximum difference between the iDL(r) and the D(tp)L was -3.24% for one of the head-and-neck treatments. CONCLUSIONS: Using the TCP model, the probability of tumor control is compromised following an incorrect choice of D(tp)L; so we conclude that the application of the F factor is an effective tool and clinical aid to derive the optimal reference dose level from the dose-volume histogram (DVH) of each treatment plan.