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average ratio of Hp(10)/DAP

=

0.074

±

0.007 μSv/Gycm

2

and all measure-

ments were lower than 0.088 μSv/Gycm

2

.

Conclusions:

DAP meter measurement could be used with an acceptable

uncertainty as a good indicator of the operators exposure, this can be useful

to confirm the dosimetry results or in case of wrong use or loss of the per-

sonal dosimeter.

http://dx.doi.org/10.1016/j.ejmp.2016.01.402

D.396

AVERAGE GLANDULAR DOSE (AGD) IN MAMMOGRAPHY: RELIABILITY OF

RECORDED DATA IN ORDER TO COMPLY TO COUNCIL DIRECTIVE 59/2013/

EURATOM

F. Bisi *

, a ,

N. Canevarollo

a ,

F. Cavagnetto

b ,

F. Foppiano

c ,

M. Piergentili

c ,

D. Rembado

d ,

A. Rivolta

e ,

R. Rosasco

a ,

E. Vaccara

b ,

E. Zucchi

f .

a

Fisica

Sanitaria, ASL3 Genovese, Genova, Italy;

b

Fisica Sanitaria, IRCCS A.O. SAN

MARTINO-IST, Genova, Italy;

c

Fisica Sanitaria, ASL5 Spezzino, La Spezia, Italy;

d

Fisica Sanitaria, ASL2 Savonese, Savona, Italy;

e

Fisica Sanitaria, ASL4

Chiavarese, Chiavari, Italy;

f

Fisica Sanitaria, ASL1 Imperiese, Imperia, Italy

Introduction:

The Council Directive 59/2013/Euratom, as well as confirm-

ing that mammography screening is included in the special practices, points

particular attention to the patient exposure information.

This work comes from the requirement of verifying and guaranteeing that

the AGD, the clinical modality dosimetric index and what it would be chosen

to be recorded in the report of the radiological medical procedure, is correct.

Materials and Methods:

In Liguria the medical physics units of public

healthcare companies work in a mammography screening task since 2010.

In 2015 the workgroup activities are focused on verifying that device evalu-

ated AGD agrees with the calculated one, based on EUREF protocol algorithm.

The data collection involved n. 6 companies, n. 15 mammographic units,

from n. 2 different vendors. The evaluations refer to the PMMA thickness

from 20 mm to 70 mm. Each department measured and calculated by its

own the beam characteristics useful for the AGD evaluation (ESAK, HVL and,

consequently, c, g and s parameters). The mammography unit parameters

(AGD, HVL and, sometimes, ESAK too) were recorded form DICOM header.

Results:

The results show that differences between AGDs displayed on the

medical devices and the measured and evaluated ones are not neglectable

(up to 44%). The main disagreement cause is the different founded values

of beam qualitative parameters, in particular HVL. These data have to be

verified and corrected in conjunction with the vendors’ personnel to achieve

better agreements.

Conclusions:

The dosimetric value is a critical data, in particular both if

it is used not only for statistic purposes, but particularly if it is commu-

nicated to patients. It’s mandatory that the choice of the index to be recorded

to comply with the Directive 59/2013 is careful and it’s necessary to un-

derline the importance of verifying tabled data in mammography units

during acceptance tests and to provide periodic quality assurance con-

trols to check its reliability.

http://dx.doi.org/10.1016/j.ejmp.2016.01.403

D.397

A STATISTICAL ANALYSIS OF AVERAGE GLANDULAR DOSE IN 8900

PATIENTS WHO UNDERWENT CLINICAL MAMMOGRAPHY

G. Candiano *

, a , b ,

C. Ravall

i b ,

L.M. Valastro

b ,

D. D’Urso

a , b , c ,

D. Patane’

b ,

I.V. Patti

b ,

P. Pisciotta

a , b , c ,

S. Pittera

b ,

G. Russo

b , c ,

M.G. Sabini

b .

a

Scuola di

Specializzazione in Fisica Medica, Università degli Studi di Catania, Catania,

Italy;

b

Azienda Ospedaliera per l’Emergenza Cannizzaro, Catania, Italy;

c

Istituto

di Bioimmagini e Fisiologia Molecolare – Consiglio Nazionale delle Ricerche

(IBFM-CNR), Cefalù, Italy

Introduction:

During clinical mammography individual patient doses have

been monitored from March 2013 to November 2015 to get statistical data

about average glandular dose (AGD). Data collection and analysis were per-

formed using DoseWatch™, GE Healthcare.

Materials and Methods:

Preliminarily, the AGD value calculated from the

mammographic unit and stored on the DICOM image was validated. To es-

timate the average glandular dose for a breast of thicknesses 2, 3, 4, 4.5, 5

and 6 cm and composition equivalent to the thickness of PMMA, the Eu-

ropean Guidelines for Quality Assurance in Breast Cancer Screening and

Diagnosis, Fourth Edition protocol was followed. The according between

calculated and measured AGD in PMMA phantom was about 10%. To the

statistical analysis, a group of about 8900 patients (age between 34 and

84 years) that underwent Digital Mammography examinations with a GE

Senographe DS system was considered.

Results:

For each patient, two views (CC: craniocaudal and MLO:

mediolateral oblique) were acquired for each breast. The exams were per-

formed in automatic modality, allowing to the system to choose acquisition

parameters (kV, mAs, filters). The results show the AGD value of 2,67 mGy

(CC

+

MLO) over 8900 patients examined from March 2013 to November

2015.

Conclusion:

The information available using the DoseWatch™ software,

in addition to archiving and tracking the dosimetric data, provides fast and

useful indications about LDR in mammographic diagnostic. The impor-

tance of dose optimization in digital diagnostic radiology involves especially

the clinical mammography examinations because they are widely applied

to healthy population.

http://dx.doi.org/10.1016/j.ejmp.2016.01.404

D.398

APPLICATION OF ICRP 60 AND ICRP 103 TISSUE WEIGHTING FACTORS FOR

EVALUATION OF MEDICAL EXPOSURE TO EMILIA-ROMAGNA POPULATION

FROM 2001 TO 2010

G. Compagnone *

, a ,

P. Angelini

b ,

S. Domenichelli

a .

a

UO Fisica Sanitaria,

Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy;

b

Servizio

Prevenzione Collettiva e Sanità Pubblica, Regione Emilia-Romagna, Bologna,

Italy

Introduction:

Evaluation of medical exposure (ME) is a key subject in ra-

diation protection because ME is the greatest man-made source of ionising

radiations: for this reason, since 2001 Emilia-Romagna region started col-

lecting data regarding frequencies and typical doses of radiodiagnostic

examinations.

The International Commission on Radiological Protection (ICRP) recom-

mended in the past the use of tissue weighting factors (wT,60) for effective

dose (E) calculations, but in 2008 new factors (wT,103) were introduced.

The aim of this work was to show the trends over the years 2001–2010 of

per-caput and collective effective dose (S) to the Emilia-Romagna popu-

lation due to exposure from Projection Radiology (PR) and Computed

Tomography (CT) examinations, calculated according to both ICRP sets of

wT,60 and wT,103, and to verify the applicability of related direct

comparisons.

Materials and Methods:

Data about dose and frequency of examinations

were collected directly by the 17 public Trusts of the Emilia-Romagna Re-

gional Health Service. To relate dose quantities to E, conversion coefficients

calculated by Monte Carlo techniques were used: 1 (Modality A) and 3 (Mo-

dalities B,C and D) sets of these coefficients were calculated using wT,60

and wT,103 weighting factors, respectively. In particular, 3 different math-

ematical models were implemented in Modalities B, C and D.

Results:

Per-caput effective doses calculated using wT,60 factors lay between

those evaluated by different methods with wT,103 coefficients: for in-

stance, in 2010 S was 6169 man Sv in Modality A and 5845–6665–7510

man Sv in Modalities B, C and D, respectively.

Conclusions:

After the introduction of wT,103 factors, confusion should be

avoided in ME doses comparisons when considering whether dose differ-

ences are due to modifications in radiological practices or to different factors’

choice. Anyway doses calculated with the use of wT,60 (until 2007) and

wT,103 (from 2008) seem to be consistent and coherent.

http://dx.doi.org/10.1016/j.ejmp.2016.01.405

D.399

AGE AND SEX DISTRIBUTION OF EMILIA-ROMAGNA POPULATION

RADIODIAGNOSTIC EXAMINATIONS FOR A RISK ASSESSMENT

METHODOLOGY

G. Compagnone *

, a ,

P. Angelini

b ,

S. Domenichelli

a .

a

UO Fisica Sanitaria,

Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy;

b

Servizio

Prevenzione Collettiva e Sanità Pubblica, Regione Emila-Romagna, Bologna, Italy

e117

Abstracts/Physica Medica 32 (2016) e116–e123