Investigating proton therapy as a treatment option for pregnant breast cancer patients
Reem Ahmad,
United Kingdom
PO-1731
Abstract
Investigating proton therapy as a treatment option for pregnant breast cancer patients
Authors: Reem Ahmad1, Esther Baer2, Kay Pile1, Charles-Antoine Collins-Fekete1, Sarah Gulliford3, Sairanne Wickers3, Maria Hawkins1
1University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom; 2University College London, Department of medical Physics and Biomedical Engineering, London, United Kingdom; 3University College London Hospitals NHS Foundation Trust, Department of Radiotherapy Physics, London, United Kingdom
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Purpose or Objective
The Steering Committee on Clinical Practice Guidelines for the Care and Treatment of Breast Cancer states that pregnancy is an absolute contraindication for breast irradiation (Whelan et al., 2003) due to the developing foetus being highly radiosensitive. Particularly, the effect of scattered radiation in conventional x-ray treatments is of concern. We investigate proton therapy as a treatment option for pregnant breast cancer patients. A phantom was used to estimate doses to the from intensity-modulated proton therapy (IMPT) during the first trimester of pregnancy.
Material and Methods
We use a virtual anthropomorphic phantom (Xu et al., 2007) in the early gestational period of pregnancy, segmented into major organs and tissues. The phantom includes a 3-month-old foetus, segmented into foetal soft tissue and brain. For all segments in the phantom, the relative stopping powers are calculated voxel-wise using corresponding elemental compositions and densities from Chen et al., 2004 (maternal/foetal tissues) and ICRU 46 (remaining tissues), with mean excitation energies (I-values) from ICRP 44 and Bär et al., 2018. Treatment planning was performed in Eclipse, with planning target volumes created by therapeutic radiographer for the right and left breast. Four IMPT plans were generated (40 Gy (RBE), 15 fractions) using spot scanning and single field optimisation, each with a Lexan range shifter (5 cm water equivalent thickness) to degrade the proton energy for shallow range: 1) Single field (315°) and 2) two fields (0°, 315°) to the right breast; 3) single field (45°) and 4) two fields (0°, 45°) to the left breast. Following parametrisation of the beam properties, treatment plans were imported into TOPAS (Perl et al., 2012), simulating total absorbed and equivalent neutron doses, scored for the foetal brain and soft tissue.
Results
Tand equivalent neutron doses to the foetus with and without range shifter are displayed in Table 1. The average foetal dose (std) across all four plans was 0.044 (0.008) mGy and 0.39 (0.09) mSv for the total absorbed dose and equivalent neutron dose (with range shifter), respectively. We observe an increase in foetal neutron dose caused by the addition of the range shifter, up to 19 % higher in the two-field plan compared to the single field setup.
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+PP/64x2jqCT2Xq/yf//xneO6558pF9VrYu+++G958881eq69cRc2mkXrgIJ4XjzjiiPDDH/6wXFe7HXbVVVeFkSNHhnXWWSfQ3p5Co2lv6tSpYcyYMWH48OHhgQce6GlzNX88Tn/+85/1vX766afrUjaF/Otf/wpHHnlkWHPNNcPOO+9ct3KrFdSIb061+orGxfRcNI+lq/c8aeXW69otRvGvf/1reO+99/QH8/X9738/vPjii2nY+++/n9s+mBnyvfHGGxXT3nrrraEnyKfgf/zjH8okXnvttTVNFvXoI/WfeOKJYcKECdwWAj7SkydPLpQ2m+j1118P1113Xfj000+zUQ17fvzxx8Ptt99e1/J/85vfBCaDosBkCC0xEfYFaHZ//vCHPyg++Qj0FHpCz+Xq3mijjcINN9xQLqpXwpj3ll566QCNNhOaSSP1wEF2XrztttsCc0m9gO/RHnvsofP/BhtsEOaff/4eF91o2ttyyy3DE088oczt4osv3uP2Zsfp73//u77XM2fO7HHZVsD1118fTj/99DBkyJCw7rrrWnBDr4345vS0wVl6rrW8es+Ttdafl372vATl4mMJEiufDTfcMCCBW3/99cslb1oYLx0SthdeeKHmNtSrj3/84x9rrtszOAaaiYFvfOMboVXPuP3+979vJmoCH9u//OUvTW1DsyuvBw4aPS++9dZbiqZLLrkkfPWrX60LyhpJewhOoKtJkyaFb3/723Vpbz3GKa8hCHq+8IUvqIBi1lm7JXfKq6It4htNz81GQkNH9qWXXlJR9worrBD69++vWwBZkfqjjz4aWPENHDgwjBs3rqqE8cEHHwybbLKJpmU74eabb66Kv+OPPz7069evosTr0EMPVUayaiE5kX/605/C/vvvr1IGJA3f+ta3ghHNpZdeqnU/9dRT2kckXvzYZmF7AZyAm4svvjinlv+PnjJlShg1alRgxQnOtttuu/Daa6/9fwK5Q3q60koraZvoY7wVjTSGuskLDmPJHVsrZ511Vhg2bJjGUw/MtgFxEydO1C0G+ooUD0CCSThh5KXfMaORN26sphh76w+S0WoAfg3n6623XpdtmmpjQrm//vWvw2abbab1gSfaHuMor73ZtlUbE1b10Pedd94ZRo8erXXyPG3atLSYvP6kCT+7Abff+973dLsHnDFO2e0ktvHYdoNODj74YJVsn3rqqVoCEgDwFwNqHhZP/2kjtLrPPvsE4mKgv8Sz1V8rPf/ud78LO+ywg7YL3KNmAd0BebhCMg+tQ7OovpQDwq+++mqV4tN36JEtSIM83FXDDR9y3jfgsMMO0/f2vvvuU/yjbkN9hitUathGZHzoJwtPk/QzB26xxRbhJz/5SYB+SQP9V2NE8mgk793No/lq42K441oOB4TnvXOkMSg3LxLH+CMFBI9sZf7gBz+wLHot+l7Gqit77bVXMFWoamNCBdVwkKU9pO68A/GOF7trhJlaQh7OrXOvvvqqftd4vuCCC9It3GrtrUR3VmalcSKedjJnQHfQYTzHs5P2ne98R79LzOeMB2NbDk444YRw2WWXKU0w19x///36Llf7hlR7v6gjr1/WjmrfnEplVBtfyq02jxNf6dtZiZ7JY3DuuefqFj3b9OCV9/7KK6+06C7Xam3JmycprCjtdam4UoBMnD0CIQ7M6yTyEpeUI1u+ycILL5wsv/zyyeWXX56cd955yZe//GVNK7pPibxMek9emXwTISBNT56//e1vWtYXv/jF5KijjtJ7q2fEiBGJEGey+eaba35hVkrqjR9efvnl5L///W/ClXruvffeODoRaWOy8cYbl4SVe7C6s32UFVuy6qqratmHH354IoxpIqurhHbLi5oIg5iIOF6fRUSv/aKvpBEJbCIfPK2ftj300ENatTCayWqrrVauGYlMHFrX17/+9YR+H3fccVoWOAFuuukmjac8YUYTYRD0eZttttH46dOn6zN1CCOh/Sftz3/+c43fb7/9NJ42yoSVjhf9AGSy1HjGkTQ//elPk7333lvDGLezzz472WqrrfT5oosu0jyGu0rjJi+v9oEyL7zwQsUXbQJH5UAmiGTttdfW+JNPPjnZZZddtD7yiN5Wkjcm8kHVvIyLfIgSyiDvMcccU6i92TbljYl8/NP2QW+yKFB6oH/QeV5/svXxLEyHlmnl8Y7RhxkzZmhyYUr1WSSD+u596Utf0uftt99e48vRGONj8aLyoenlA5HIR1bvhSnUvPwxxtA9UAs9y3ap4p72yMSZ0g7tAfJwBb2BN979O+64Q/Nk/6yvssuhuOYKbmQxoknzcFcNN7IVr+2mPN4tWeQmN954o5ZPu0RHKznllFPS+YZ5gPd899131zRjx47VNtxyyy1pHt7T0047TZ9l6zHbHX0uQiPV3t08ms8bl7hR5XCQ987F+bkvNy/auIEDkQKm84AwYpo9bx6J6+A9OOiggxSnwrToONk3oNKY5OEgS3uyYNHy77nnnrRq5nBo4/nnn0/ycJ5mkpuPPvooEWZD8zLHiipPLg2Vo7u4zHLjFL9fBxxwgL7b4APaJT3fSuYBnvnuMjdyz9zM9zwLsuBJNt10U03D900Y3qQaHZK/2vtFfF6/SJP3zSlXRt745s3j1b6d5eiZdsaw77776viCb1nkJzvttJM+G/8S4yWvLfE42jfAxpFvSi20F7ex2j2Snx6BvcBZJooXc8cdd0yEs03LN0aGF8kYRZs8SQTDwosmenaah84bo8iHHWYEJBjAMJEmD2ySyDKKefksvlIfZeVaMtikpw76YIwSRG0fVV7GPffcUxlEK9vwAPMLxARjaex611136cccRtuA8nmZAcMvzIiBSMu0Pa+88kpiHyj6A9AemDsIHaaAdlO/ARMYYcZoGqMIoRrYSyurVAtSRpexAvLGDQaN9sNYGxgjaM/x1WiEj7SBrGy1nTCKeWNiL5lIspL//Oc/WgQvq+iF6n1ee61Ou+aNidUHY2Eg+ljaXtFzS2m+Un8sj10Ze8aEd8sARgIcMj4A+GNyN5DtIc1jjGA5GqvEKIrkRPPy8QaMTniulZ6NSeP9NzBGVKTIKaNYCVfkgaGAuaoExMtWYzq2IonT9jM5F8FdHm5Ev0vLg3EA7KPEu2VgCzQWQQbHHnus5uM9sfcwZnZFwpu+x5bHrnk0b2NS6d01GqxE83njYu2waxYHee+c5Yuv8bxIOOPGggeaAkTHUPHFYhqo9b2EgeM9sTHIG5MiOIhpL49RzMO5dir6M9o0xiGvveXoLipOb7PjZG2CmTMQabviiW+kfecQ7BiItFHjqa8c8H22b3AeHZI/7/0q0q+8b065MvLGN28et3e23LeTfmXpmbAYjFE0oQtx0DQ0BcR4yWuLjWOledLiK73vWmGNf93SUZQXMBdQbkUszcEMTi6jXIxIGJDJIM2P6NtAPnB6Kx8SC9Kr9ClwIkyYj/DNb34zjWNrG10UxOXzzDNPGt5bN6Z8LVLJtEq2c4Fyyu6zzz67bssKM6lbbrLyTbcgY5ykhWVuUHZmGwsROH0HT5SVBbbnDdgSYEsR/AszEOSlVp1SYSQCumhsj62yyioqdicPdRiwNS4rxpJtTcZgscUWsyR6JWzo0KFpGGWwLcHJ9rxxY8sUMXw8fmyLyKoqLS++sROvbJ8bgH/qA/LGBP0f2icf7nDGGWfoViJbwiKl0u3yvPbG7aS+omMiUmKSKzAGADpEef3RhNGfMPz6JCvcdBvUosHlv//97/DII48EkRhYcFhiiSUC490dWHTRRYNIEANK62xDmxUCkSSGWumZNgM2Vty//fbbXJSeV1xxRb2vhCuNLPC3xhprBNOXWmSRRTQHqgV5uCtQdMUkbHEb/PKXvwzC9ISlllrKgnSLj2129KVnm202DZcFZBrPGLFdWA7yaMTUDiq9u7yvlWie+vLGZckllyzXrDQs751LE+bcsN0MTQHLLrusXkUS1K33UjNHf3lj0lMcRFXpbR7Os+mzz3nttfQx3VlY3nX11VdPk6y88sp6z3amfXc5RGrfFZEyany571layGc3eXSYTV/tOa9flb45qMIYxGXkjW/ePF7t22n15V1pM99vA745qD3JIsGC9JrXFktcaZ5Ena3a+275a7k2jFFEhwOChJEDIXQKpWLh7Evat8ACC6TPc8wxh97DGMYgkh99ZNK3jwkBdm/xcZ7euLdJDT1IA/og0p10wrNwrnzEYUpktRv4mDExgo+iZgXQbeLgEAQH4cIQzjfffEFWO3E1IcaptQ2cLrTQQqqfwkQAA4++CD+O5ttHjbbHALNo/STcmJw4DeMyyyyzpEFWp41LtXETUXmqu2UFVGOaYa4A8llb4/TWVmsDabNjIpIc1Rm8++67FXfosMlWQKqvWa29lBdD0TH5/Oc/n2YzRoGAvP6kmT67sfTLLLNMSv9E8S5wstPenbnnnrska3bcbGwsEfisBLJ1qswijBb6fzCJ0Fit9MyCjjGz95b6uOc0KTg3qIQri8+7xmMfp83DnaWtBTeWh/fQYM455wz8YrA+xWNvYaSLw+N83Fu7K9G8McX2Plj++N2tRPMiwdKFdpFxsXKz1yLvXDZPuWfaWw5sPGp5L7Pl5I1JUdrMlmttI1wk+yXR1XBekrDMQ157efeAmO7KFFM2KKaTeN4GBwCCg/gd4rsdL2rKFiqBReiQvDHOeC439+T1C1qI2x63lzKBuIy88c2bx6t9O9HjLAIDBgxIcUR6myOy+Mhri9VVbf7oCe1Z+fG1YYdZYEZgElmJyDaNMkQozwIxYmy1TDiHGgA+gjEwESERYbCRBIlunv5YdTLBliOSOH+j7gcPHqxFi25KWoWIllUyYCu1NEJukJLBJHIQgUM8KFnbCsNe/Dh99v78889XRk22U/QgDwr1xhjEaW1lSJhJcVGghQCRoomYO4h4WyV+IvrWwy/GKNpKkryyzR8Yx1h6R3gW6BdmiAzoI5MRL1feuLGYwP5jvBKUrTYrqsuVSQx4+OGH0zjZDkjv88YExXHZ7g5f+9rXlDFkJQ2jjuI8/c1rb1rRZzdFxySbz57z+mPp7GrjhKTP3gPeCd4RJiKYYvoQm1hiIo5xxAQl20RWpDJ8SJwrAQd/GE/RpVPFd2ySArXSM+8rUjPyW9tZ+UI7tL3RkIc76i+KG5O0lGsz8xdSXSTqBvYeducEbh6NWL8qvbvVaB5Ja3fHxXCQ984ZDrp7rcf8nzcmteLAPvKxNEi2b9Mu5uE8TVjhJq+9FbKVDbZxKhsZBfKNAKA3ez859AaNFHk/8+iQsou+X6StBpW+OTFzGOfPG9+8ebzatzOup9o9O4gcSjPgfeX7m21zXlssf6VrT2mvXLkNYxRt8mArj9ORfLg47QvYCpl7Pj5Mog/KSUtO6PJB2nbbbYkqAbbSOPGIIWaIBAZGdK6UwbAVbUmGAg+inxeOl5PR3YWtt95a28spMU7awSDRTvrA6TcAKQ8TCNIrs+XFKTMkrlyRZAHxqVsNKPPHiwzzjRid/DCa4AGImW9OXsKAw/xwio6t2eWWWy7MO++8KkFkEmDrmvrZ2uHjhaoAkl9OcHEKG6bdVkqio1imNaVB9BtmQxSglSkR3RVNkDduoqOq6UR3U7eNMQ/BR7YSsLXPy4XInpNhbMPDeBvkjQkr0WuvvVbHia0STgDSbspkhZbXXqvHrkXHxNJnr3n9yaZnS4vxoM+cpKPt2PA6+uijdXxJzwKCLU7GgG3BrLkNGEnoiAmJ03HgvtK2J+UxubPtjOQVaTYSQMBUEIrSM5JJgPpg9NleQzrJhGllaYIqf0gyyce8UisUwV0ebmxS/9nPfpZu1WXbwUlbgP7SVtGz0/cOqYx9jLN5qj3n0Ujeu5tH87WOSxYHee9cub7F82L8PSiXlrBa38tsOXljUgQHMe2xCGae54QvC12sGojuX1ptHs7ThBVu8tpbIVtJcHacSiLLPKAGxvvNXIJFEb6zCBXYdTImsEy2NCiPDkmY936lhRW4qfTNKZc1b3zz5vFq307qK0rPzMV8W/nOIRAR3cYuzc1rS5cMmYA82mNnSPTZlW4zWSs/ikSqRyAMniq7ysRfUo5sB+opQKlZ44UA9bQyz5xEs0McKOVbGtke0xNqVhDPdpiF8kwhlfTykqoCqEgZLXnFqyBG65APUkkaTjwLg1ASVu6hUh9Jy2EdO3VKuzi4Eh/gAS/WPw4s0HdwYWGir6V5RLKiVcdKrdm2oEBNmy2vbOfrKUueOdVph1k4CWVpOPWJcquB6CuW1M+BIE6EASj+26ll8oN/UyYnvpzCLmH0n7ZYnSjmc8ACKDJuovemdZGfcaUNXCsBh1bi+oyGCAfyxgRl4XjMuDcl4yLtjduVNyamWIzCvwHto6/CYGlQXn8sn11FCqqnjQ3f0DDjaiDS6UQWQOl40D/G0g6ziPQ2tRpAGdAUB5YsnvEg3OiCcuWjoWEcjoqhVnrmRGdM/9CfSMC1yCK4oj7rN2OVBfkQ6YnkOJz0HJoB8nCXhxvKoM2UKQur9J378MMPiUqBE/XQsLWV95u6AVncaXiMX06Bk7YS5NFI3rtbjeaps9q4lGtTjAPi8965bBnZebHSuDHeQK3vpR0A4iCXQbUxIU0eDrK0xzjaGHPlHWQMjZ7zcG7t4sp3jLzxoZFq7bW5Pkt3cZncx+NU7v0SoYPWy/cD4D3nG2Z0KypSCVYUKgGHEZlbDPLoMO/9KtKvvG9OpTKqjW/ePE7/qn07s/Rs+LArh1mY9wy30IsImPSkOWni735eW8qNY/abUo324EMYX/BUFGYhoWRqGLBaZFuxmsQA3Q68uQwaNCi3HWzRIk0jbTW9ntyC6pyA9qOjYau4uHi21sCDie/ZCkCiA066Iw1lSwv9jHJ1Wb3gnHpifUWLI5zta7YvYz0Hi0e6KRNQ1TGztPGVcaGP5cosMm7ghDYVHVe2T+WFC1l9PGtTtTEhjbxwmtckvZaPa5H2xumLjEmcvtx9Xn+yeaAp6q303kB3bK0Tj4SblaZMDmkx0Aivf7n+p4kK3HSHnqvRSl6VqKDwrpWjs7y8Fp+HuzzcEM/BJtOrtnLjK7iln+C3Eo3G6Yvc59FI3rtbjeapv5ZxKYeDvHcu7mN2XozjKt3X+l5myykyJtVwkKU9dnLAabXvUR7Os22Mn4u0N05f7r7cOJVLF4cx/4PrBRdcMA4ufJ9Hh3nvV9GKqo1VpTKq5cmbx6t9O6vRM5JEETjpLgT1I5GuNnfQ9ry2VOpfHN4T2ovLaTijGFfm944Bx0BzMFCOUWxOS7xWx4BjwDHQWRiIGcV27HnDdBTbERneZsdAX8UAK1iTaPfVPnq/HAOOAcdAK2KAuZcdnXYFlyi268h5ux0DjgHHgGPAMeAYcAw0GAMuUWwwgr14x4BjwDHgGHAMOAYcA+2KAWcU23XkvN2OAceAY8Ax4BhwDDgGGoyBXM8ssfXzBrfFi3cMOAYcA44Bx4BjwDHQ8hjgRHqnQC6jCCI6CSGdMvCN6CeLCqeVRmC275XptNL3xrRRPXJaaRRmvdzuYqDTBGi+9dxdSvF8jgHHgGPAMeAYcAw4Bvo4BgpJFPNwgLshDNga4PILQ52bbLJJGDFihBrHxZUVLsBwPTbXXHNZUr92EAbOPPNMdS1Yqcv4x8b9YB7gkxkXhEOHDs1LqvGUufbaa6vru0IZokS454JmL7nkkh4ZeI6KzL3FJeSwYcPCuHHjctMWTYCLSfyV4ravXQA/sx999FHZ5uLmSrzPlI2rJRDDv7gFpS7x9lNL1i5pGzHH/eY3v1G3Z+ZbuEulDQ6o9V1rcHMqFu+0EoLTSkXy8IgeYqAuEsXLL79c/RbiBYIfTqnF9VsYOXKk+qGlja+//rr62GXicehMDODVwGgEH8vf//731VexheHVoQjgaxgfz0UBf9hPPvlk0eQl6aDb6667LuA9qLdAXOipH+561sdHhHeynQC84w/V6CO+4qGkHsB8BB2+/fbbPS6u3nPcfffdp4uheBHe40bWWECt71qNxdctudOK00rdiMkL6oKBukgUKVX8xJZIK3DhI34mg/hnDkhIHBwD0IIB0i3xQx2QMq6//voWXOiKWyKHzsDA1ltvHS677LKGdXbgwIEtq1cLY9xsaKd3zWmludTSTrTSXEy1X+11kSiW6zZ+WDfbbDONEifXXZKwdTh+/PiwwgorhP79+4d11llHt8YsIXFXX311mDBhQlh88cV1K46ta4e+jwGkRWwlsb3ITxymB3E2rx2HHqAnpGPQCMD24RFHHBGGDx+utARNXXzxxRpX5G/KlClh1KhRSmcwDtttt53WEee99tprw0orraTtOfTQQwMLIQOkm9RNXug4ltwhsTrrrLOUfomnnieeeMKyatzEiRPDzjvvrGUj3QLoL1vP5EEyj5/QGHhGtcPqvPnmm+Po8Nhjj6X56Q/Srr4K4NNwNWbMmHDllVcGrgB+VXFfGEuUkWYT9uabb6qPee6nTp0arrjiCp2z8NlqwDgQj3QPKEIrlhcJOotk6BE63mOPPUIsCa02x02bNi3dWt9yyy21fVauXc8999xw9NFHh9NOOy2tg/cgln7j032HHXZQ2oZ+TzrppGC7OvQF2orTX3/99Snusu/aO++8o7hAFYP+bLHFFqoaUO19hdkFf3feeWcYPXq00ivP9K8Z4LTitNIMumv7OuWUalWQDlaNJ5I0BxxwQEm6v/3tb4no/Gjcxx9/nMgHML2XiThZeOGFk+WXXz6RbevkvPPOS7785S+n8RT0pS99SZ9F6pTIRz/hSj3yASypxx9aBwNFaMVae//99+t4CsNjQXqVbbZk1VVX1bjDDz88ET205Atf+ELyxS9+MfnLX/6S/PSnP9XnzTffPLnjjjs0jzBCGibSyUSYtGTjjTfW/A899JDGk/eoo44qqccenn32WU0r0m+l0eOOO07LEt1aTXLTTTdpPH2Tj3By8MEH6/M222yj8dOnT9dnYWaTH/7wh8muu+6qz7JlqvH77befPtPGCy64IKXzp556SuPlY6zx0D9p6J/RPu/PRRddlHz1q1/VNJbHcEcbRdqWgAvaxzsGCHOgfaDMCy+8MFl33XU1Hjy2ChShFdr7jW98I6Hf2d+7776rXRE1F+0rOJKFZDr21ldZVGjf77nnnrTr0AX1P//884kwknoPLQkToffC1KRpGTPSUl8ercRz3H//+9+E8aEd0N7JJ5+cjgnzH2DjXG6OE+lMsvfee2vdl156aUI/srDvvvtqPOMM7Vt6WZhoUtpM/dQjTGUaD60CcXs1QP6EkdQ8PGfftTfeeEPrAx877rij0mve+0o/SM+Pd4O5nPeRdvGNKALkzQPKc1oJSafTSh6d1Cu+CE3Wq65WKCf3DSyCENIwGe200076Y4IkjB8fXiCelF5++WWdaH7961+nOLAPMpM3QHlM/v/5z3/0WVb2Wp6sZvXZ/1oPA0VoxVptzE6WUZRDFzrOxvSQ/t5779UwmCYA2oBpA/71r38le+65pzKIGiB/IinS9DBRQDVG8a677kpEbSJhMWPAB5cPD2B0yQfOQCSAWv4rr7yS3HLLLXpPfwDac/bZZytjI5IWjbMPM/FyOEPDjNE0RpEPqgH9o37KAj788EPNw4cWgPFjoSWSIX3mD0aXfgLHHHOM5oexNpDDPGmfLKyZ1yK0Ag5sHslebR444YQTNE2MP2NE6F8tjCLpWbyOHTuWWwXmIHvOo5V4jjP6ZiFsYIzojTfeqEF5c5zRHuNfDoxRZG40sAUHz6LqobixOZWwc845R8NEwlwyJxMHxIwiz/G7Zowiix+DvPfVGEUWWAa33XabtkH0Zi2o6tVpJf976LRSlYTqHlmEJuteaRMLrJuOItsZbAECCyywQGB7jq0xflkYMmSI6h1Nnjw5oLj/4osvpls78nFMk6+xxhp6YpoAc6gdb/mlCf2mz2Dg8ccf176IVDDtE9u5AAcysjD77LMHWUUHYSZ1W23GjBnptlZMS9l89sy2HltybB+jDiEfVS3L4u0a0zHbdaeeeqrSrSyKgjAmqm8pH+kgUg3dultllVV0m5L81GGAmsWmm24ann76aQsKwvSFxRZbLH3mhq1T+gbMO++8empbJFos7HQbkjzf/OY3NZ4/2v7WW28Ftjspe7311gvzzDNPGs+WN/nbDYRJS7dg47Yvuuii+shWIniP8YeuGocbugNstx500EE6lwmTozhjaxcoSiukhY4ADlJBm4BIGfUa03FP5zhoz+ZGCmdL2A6/iLRb6xNmWq/82aEd6KW7gJqFQd77yvsAxCfKaTNg7dSHOvw5rVRHotNKdfx4bGUM1I1R5MNW1PQGekOrr766fthk20wnEVm568GXuKn9+vWLH/2+AzBgzFE89nPMMUcQ6VLKOMVo+Pe//626T7K1GPjorrnmmkpH6PwVATtUA+MF0wdDON988wWRFJZkZ/FjYG2DaVtooYUCOm8wBCx8Tj/9dP2h77bUUktpFtoeA8yi9ZNw+3DGaTAvFQN5REIYRMKuwTAHK664YprE7omXLb0SvTMSFWGa08Ja6IaxQMevEsBsxAwx6YyJjPMY3giLdfLiNNxzKA9GEZ062flQJt4WLUVphXJg2AEWDEYvPDPPiWoFtwpxnIXVcoUuYojpijZAe0YbpOOek8zQj+lLxrgpwrzNP//8aZVWX9yPcu8rOusGs802m93W9eq0Uh2dTivV8eOxlTFQN0axchVdY/ioIv1gZW0fAaRCQDxpdc3pIX0dA4MHD9Yuih5ZKokT/TRlkrCzmAWkZDCJKNhjzxN47rnn9AoTmQcsbmDUkLDYx4zDH1lAQmSSTTvYgPQG5gETLqKDpvUjVf/a176mpqA4AAMgUeLjDCB5h/5FTUOfK/3FEkek6PRR9MKUwUSCBhNw7LHHBvMQwGEW2QpXpoRFGAwrbeHjCdDGvgiyVRxEJSGIPp4y7fTxZz/7WdpVsz8oqgVpGAxgJeBwEFIw0TdVqSAHqYwZKkorlA1tADCKMJ8A48G4DBgwQJ+L/pkksmh6S7fssssq7e222256mIVwDvXcfvvt2gYYOgDcWJt++9vfaljRv1rf16LlNiKd00plrDqtVMaNx4TQsFPP1ZBrkwsnDTlJhySG03pAkRVttbI9rr0xwLYhUhBOi2IkGgZJDkppGKclAaR7GDeGfmzLkS1IJNVcjQkroqbAB51FC9t05BcdLmXkqCdetGC0Gwb0Bz/4QZADDgEp03LLLafbwnz8RRdXmU3qh2lBcoSKBRJzFkGcwuYkMidfAdFR1GulP9Fx03wwwqKDqclEJ02v4IOT3xiKJh7GE2YERgSmhi04gHxsDU6aNCk88sgjGtZufzAuMNzlfjDdok+qXaKvnKRlLKALAyS+0BMnzzGejqRQdOwsuuwV5hDGGrowWiJhUVohLSeCkVJzKhkmnnGiXNpnkmbSVQOT3CHdhjZrhd13312zgJuHH35Y3xkWQSxceG+gT0AOjAUWY5yilkM9GmZ/8btmYfG1yPsap2/kvdNK0J0Qp5VGUlmHlp2nHyloyUuiSvLZU8/ZTLGiN0r6sjWoCs2ULxOqnt7k3k7soZQdK0BTHvEoYzu0JgaK0Iq1nEMspJcPmAWlVw45caiAeH6cgo4PPkEjFgct8QwNWZjoZGke0SnTMkViWPHUM4cd7JQ0+TlpfMopp2hZnLA3JXE7zUwaTqnGhydEX7Gkfg6WcOIU4KDBVlttlbaNtnAy24CDM/QvBg4Q0HZhcNJ8nOg1oM92UIH2kI4DMyJltCSJ6P7q4RaLpw2kaxWgXXkQ95/02d8HH3ygRYiELMUVeUQFoaSvwkiXxDNelMUhD9HZ03sOZRhwSIhyoIUY8mglnuPIJ8xheoKf+mhXfKI6b46TRbQeJiHvGWecETdF7zlUwnsSA+MM/RmAm/jdII5+G8iCLMUrdIelgZhO4neN0/S0hdPQMVR7X+0wS4xf0lOOLKriYirekzYPnFacVvJopJ7xRWiynvU1u6xZaIB0uiI00iE70kOkICYVqtgIj2gLDNSbVvDUMuuss6bbpzES2HolzraL2Z5DAgQt2VZhnD7vXpgO3ca1rdpy6aFV6on1FS0d4fIhVf04a5PFcUW6KadXa6L1vD6xtY70YNCgQaGS3hc4QWevUnzcxt68rzetgCsOn9BXDp8IY6VbqtYnpMPEV8OVpc27FqGVuAzGnbHK6p3GaSrd0y/yszUMvXcXoBPKKEebzMP0CdyUg+y7Vi4NYdXe10p5ioQ7rRTB0v8OS3U6rRTDVM9T1Zsme96ixpbQVEaxsV3z0nsbA5328vQ2fvtSfY2kFfRFs4xiX8Jdp/XFaaXTRrz1+9tImmzF3nd/idqKvfE2OQYcAx2PAdmGLHvyueMR4wjoggGnlS4o8QDHQBcMuESxC0o8oLsY6LRVVnfx5PmCbvPnaL04mhwDigGfV5wQWg0DnUaTLlFsNQr09jgGHAOOAceAY8Ax4BhoEQw4o9giA+HNcAw4BhwDjgHHgGPAMdBqGHBGsdVGpMPag+2z8ePHqz3NZnWdk8F4dClid7FaG7FVyIlb3OVh8xHbi9juKwrYARw9enTq6q1ovk5J1wq0wulpxldMvHQb7b/4xS/CPvvsozSHHUIxdRTee++9QuWJr3DN1x1beeUqwLYn758ZJMc2pRms55Q/cbHx93JltGJYK9BKPeaVVqIVbJkeddRR6XBjL/bNN9/U596iFZx0QKMOvYsBZxR7F99eWwYDTDZif07NJGWieu0RX7gYxi5nOqRoI8477zz13EJfFl988YAXCIw7w4BibLsIkBYzJWK7sUjyjkvTCrTC2MBU4X2nO4AHIbz04B0Fbxi4ZYT+8OCCeaU8wO83vsLJUw+A4YRmzcUjbcPvOYDZHOJmzpxZj6p6tYxWoBXGqCfzSqvRCkbjxYamjiMLGwzQm9/y3qAVPGINHTrUnXL06pv0WWV5hhwlWV4Sj3cMKAa6Qyviqk+N74oEoClYFD/NWr+siLtdv3xMtYwTTzwxEXt5aTkyeSbiCUPj5MOVhle7EY8gaihbpJvVkrV9XDvSivjQVuPV4tmk2/jHyDaGt8U+YlqGSJ2VRoSxSMOq3chiQtOL5K9asm7FYXRbvGRp3nLGsrtVaA8ztSOt1GNeaWVakcWD0qAZX+8NWjHnB2IrsocU1fPs3aHJntfavBJcoigj7tB7GBBPJWH//ffX1eh6662nvpLj2tlWEG8QYdiwYQG/u2zz4RbPgC2/zTbbTONWWmmlMHHixJItY6QyO+ywg0r1iD/ppJOqblUceeSRAbdm5usW381sB952220qIWTVzHYLW36430NaKF6FSrbjcH229tprh2OOOabEsPXnPvc5dZ9H+biqxP0fW9Js0xhgzHjkyJHhrrvu0iDx+qJ1IU3odGg1WrnkkktUmjFixAgdmlppRab5QJ8w2M6pSQN8cyOR/spXvqI+vKEHJHkxnHnmmUrXhGEUHheQ0H4WMNCN+8DLL788jbryyiuV7my7mu1z0oj3niAeklKanDBhgrqGFM9BuuVsBQjTo+8h7yP54vfR0jT72mq00tN5pRVpBV/n+A1HCs6cBhx22GElOybVaOVPf/pTOvczr+LSknEzGDduXLj66qvtUY3UM1/efffd6p4TV5OAeK0qcdOZZvCbxmEgj0eVmvOSeLxjQDGQRyuffvppIgyVuggTo8jJLrvsoqtS8plEEbdkPCOJE5/KCatqnsUXbWKu1dZdd91EmK6EMogTBk3rR2qHKy+kIsK8JbjHIx73duWA9hB/4403ptHiV1fDKAf3Zea6j2fZRkpkG1klfrL9p3lkG1LT41IvD1544QVNK5NhmpR+0AZW6Abio1fdCtpzX7zS52rQarRCW4VBTISZSptdK62QEWkdfcdto/h9Vjd2uGSMATd74is8DfrHP/6hdI27PYPrr79ey+GdyIIwkSXuB3nnqBOJDPDoo4/qM+8U7g2Jk4+4uuYzOhefz+qmkjh+uGjFfSouKEmTbXO2DfV8pv5q0Gq0Uo95hf62Gq2Yy0jGnvmVccHNLvRkEsVKtMLuCjRPPG4ihelTOoKehPHU4c26WqUe0l922WVavs3nl156aYI7zWYC7eokyO1tpyGkkwa/3n3NoxW2VUnDxGLAdhthMIp8rLiPGTuR5GkYHz+bjERKmIhURItg23fy5Ml6b/6PY1+2fNwo8/XXX7cq06vo12gcW38G9vHnCvAhJj8fR9tWFmmNhjHByQEWvbf05GGCg4mlnfaz7Uq2HWE4DPAzbUynhU2aNEnrs+e+eAWn1aDVaIW2QgMi2UubXSutkJEtZxZALGbAgdFWrLaAf2bC8RUNQN/xM2FGd7bAIszAmEgWTqhUWD3G5PLO8VGmLTGjSP5yW88wCAb4HKe8l19+2YIafqW+atBqtFKPeYX+thqtGKNI2yptPVeiFXx9M47M1wbMiYRddNFFGlSNUSSBbz0b5nr/6lvPQqkOvYMBO005fPjwtEJhlNJ7O13J1oJB//79VXmfOPw4E3fsscfqVjFbwcSjMA5Mnz5dryiRszXCTyQjGvbSSy/pNf578cUX9bGcj1sOFwBzzDFHEKmmbvWZv2Tz9Sw6a6kHEGFENT1/bO2xhSIrYf3RXhSxAdrMdt8bb7yhvqllsgwitdQ4+2N7m+0dtmo6FVqNVt5++20dE/mYdRmSorRCRracUb149dVXgzBbSicrr7xyOO6444J8ZLVstneFKQ3CiOoz29AijVFFfg2QP6NZYRQtKL1y2AWAzqZOnar3lG8HEThIw7sRb39rogp/bI0b0Fag6Clty9fIa6vRSj3mFfDVl2jl8ccfVxKI5/t11llHw+xAjD74X0tiwBnFlhyWvtkoTsYBMFgGIn2z2zDrrP8jRz6SMcAMzj777BoE4ydSEGXc+JButdVWKaOFvh95V1xxxfTHKU7MjyyyyCJxkXqPPiRQ7oNpOouaQP7iNsXpBw8eHBZeeOGAmRGDueaaSxkBTEeY+QiLQ7cMoO0333yz3mMSJwZjSGPcxPGdcN8XaYXFzr777htgOoEhQ4aozpcc6FK9V/RSoUnoZ88991Q9w/fff19pBf3BGOxdMRqO46BHdGanTJkSWIjwjsA8Yq4FvUpOr2ZpLs6fva9E+9l0zXp2Wml9WrH5u1+/fimZsAiHtiyOCHRsDWQL32792mQMOKPY5AHopOpN8vLwww+n3b7//vvT+6WWWkrv+bgZ8CGEMUQKiRSGAyOYJkHhHqkGB0s4JIINRDM3gsI1EhR+SCBFxys9rGLlchU9MH185ZVX4uCa72H+OBhAO7KAuZsYYEBpM32CURS9my5meZB+MoGa1CjO3yn3rUYrSHkZkxkzZnR7CMgv+lUBe3QxsPBYcMEFtXxjALFfiERZ9NQ06dixY+MsKo0kgANb5WDMmDFqnomDAEhxzJwPUkvaASPZV6DVaKUe80q70ErM2FWjJxbUAIsiA9GRVSm9SannnHPOkoN+zPfloGid5fJ6WDcxkLfbLcXmJfF4x4BiII9WMGuADhSK+ugVcZBDpB+qp2K6VhwYkUlS9VbQHRSmSuNRrheJoaZH2R9FfNnOUKV9ygQIow3o/GF2R7bdtL7VVlutrPK9KUujc2hgemexORsO1Mh2oSVJTIdMJEMahqK2MKRaN/qV6OGQRk6lal9o03XXXZfmFyO6mpZwdM2ywEEeyuvL0G60wlhAmzvuuGM6LN2hFWiTvkMn5JfT7noggDAOBsRgyv/bb799HKz3In3UcqDhciDbnymNmRkd3hvq4bCUQVZHkXeFwy+ymEt1gtEvM7B3LNYztrhGXduNVuo1r7QarcQ6iuhnMy6EoZNp+uOVaAVdWeZ1sS+bMJdjVgd9bcKEIVTSMfq85557dP6GFqmDwyyA6aJC+9TXTMijyWa2rRF153KBnYaQRiC5U8osQiswhDYBkJ4PL1djFMVcQiJbZRpGOArOIj1MUciHlcmGOH7c8/EygEEz5pN4Jp/4cIulsysfRU7TGdiHswijyOEbA5hFTl/HfWMSFElQ2jdLy6EY2giDi8J6DBzSIbzIKeo4X7vdMzZ50Gq0IhLqkjHrDq1wghmGMKZR7hlvO6BleBFzPErjfCCzIFvTCaf/qwF0BA0ajXFoALyLIfg0m0jCNczonZP+pOEnerR6jT/+ogesYaJqkZbR6Jt2pJV6zCutRiucfI9P4xtjxwKqHKOYpRUxbVYyd7MQIsyABQ00a/Qnnq10/jdGUUyMpfFnnHGGZWvKtQhNNqVhDao0d7buNIQ0CM8dUWwttMJLX82oNMaNq60aRd8qEf2tinglL2XkgZmnsQ9lXvoi8ay2aV8lgKnkAx6foLW0rLTBY7PNP1h7GnVtR1rhpC/tRuJRD4B+q9F4pTp4d2jHD3/4w0pJehQO/RZ5d3pUSQ2Z25FW6j2vtCqtYPxd1INqGM0kEZWhhHyVgHei0reBxRS4yC6qKpXVqPBaaLJRbejNcmehMul0RUB/JidJxbwe0VkYaEdaQd9FtkCCrI71NHUjR0wkiUE+7nrIgJOswpyqblpcJycBMTKLofC+DO1IK4wHxtfx382hkGYBh7PQ4+VEM3js69COtNKb80q18e80WqmGi3rGtSNN9qT/zij2BHuetwQD7fry8OHfZJNN1EtAfCqvpHN1eGDBxWEFkSYGsUcXsgcUaAcnVDlcQ5q+DO1KK3jo4WALjFpsNqa3xoqT/ZiJEj3XIGoOvVVtU+tpV1rprXml0uB0Iq1UwkW9w9uVJruLB2cUu4s5z9cFA+388uBWb955501N9HTpXJ0COMUNsxibhLCiieM3zzzzWFCfvbYzrfABxrQHZmx6G1hsyKEwdePX23U3q752ppXemlfKjU0n0ko5PDQirJ1psjv4cEaxO1jzPGUx0GkvT1kkeGAhDDitFEKTJxIMOK04GbQaBjqNJt2OYqtRoLfHMeAYcAw4BhwDjgHHQItgwBnFFhkIb4ZjwDHQtzDAtiOGs801ZbZ3Fv/EE09oFJ54jjzyyLDmmmuqUXYCcW+GOoJD38aA0YLTSt8e53btnTOK7Tpy3m7HgGOgpTGAazlOt8+cObNsO2EAiTeXftdff304/fTT1bWf2EhU/+BDhw4NlOPQtzHgtNK3x7fde/c/B7rt3gtvv2PAMeAYaDMMDBw4sMT0mBi41tPu4sVHDzxhSsnBMQAGnFacDpqJAZcoNhP7XrdjwDFQFgNiVFrtSYq7rrD00kuHLbbYImCaBj/YbOeusMIKoX///gG7k2bTEN/f2KAUzyNh9OjR+nHledq0aWkd2LI8+eSTw7Bhw9Q3uHh40PLMTzcnRamT7V8+zqNGjaq4dUyh+GPGdzcmc2gnbRNj62l93DzzzDNaDuXRD9tqFsPB2l7sIZ5wwglBPFCo79uRI0eGCy+8MBx//PFaDv7KSQM8+OCDasqJsug7/sINxKtKELeR2h7agrSyE8BpxWmlE+i8qX2UibEqSOOqxnukY8Aw4LRimPBrHgbyaMXcx5EON4/4v8alGe7ucNuIf+7zzjsvwQ83aT7++OPUjRjPu+66a3LxxRerCzC84JinkUMPPVTT77PPPgku+Ygj/aRJk7TJuNKL85u7yBkzZpTt0jbbbJO6GcMHLe3Dhy2AhwnK4of7s3POOSdtD/6A//CHP2gcvm+F2VUf5bRHtqATYW7VtSR5L730UvXUc//992v6ESNGqP9bXKcRLwyh1jdhwgR9BifgCy8/fQHoYzVwWnFaqUYfjYjLo8lG1NnMMqu/gdKyTkNIMwej3et2Wmn3Eey99ufRin3899tvv7RRuNCDaYz9w9500006R+HP2xgzfCkb3HbbbRovh0ISOTCg9zCLBvg9pi2nnnqqMpvcU4fBp59+qswkTFg5gCmDYTNG9OGHH1YmDkbQ2hP3QQyta330JWYUKVu8vigjafVY38Ruogbh2xlGVHQbLYn6MscfOmCMIvX2JXBacVppNXrOo8lWa29P2+M6ijLiDo4Bx0BrYmD48OFpw4YMGaLbs5MnTw4/+tGPwosvvqgHPkjAiWGD2GOJMFEazGGB5557Tu/xwmPA1rQBHnGA6dOnB5HIWbBeK51G3WuvvYIwngGPPnjVYct7++23LzGoHntwWXnllbU8tslr8QIkE71uPwujGL75zW+mbWMrnq1ujIADxOO5pRPBaeV/o+600onU39g+O6PYWPx66Y4Bx0APMDD//POnuUUCp27zYIxEiqcu7L761a8G/NnG8PnPfz59nG222dJ7kfrp/SKLLJKGxfF2uniZZZYJK664YpqG+7gdaYTcHHLIIdqOH//4x+GWW25R/UhOLj/55JNpstgdI4Z6uwP/+c9/NBttz7aNCIs3xrg7dbR7nniMnFZCcFppd4punfY7o9g6Y+EtcQw4Bqpg4NZbb1XpGbYFOcwCiP6eXo1R0ocKf1/5ylc0hsMtMJjAL3/5S73yt9RSS+n9oosuGkR/Ue+Rzoj+YhgwYIA+x3+iMxlOO+00Pfhy9tlnBw6TiO5k2HvvvcNjjz0WlltuuTh5t+//+9//qoRStrlVcnjssceqtxIK5DALktBapJPdbkgbZXRacVppI3Jt+ab6qeeWHyJvoGPAMQAGBg8erIjgBDAnXdmCPuKIIzTMpIH6UOEPRpAtZTnIooat5bBL+Na3vpWmZstWDqfoqedzzz1Xt7ZPPPHEcPTRR6sf8DThZzf4emZLmvJ+8YtfhN/+9rfpiWZjSrN5ank2CRmSSiRkciAmvPbaa+HAAw8Mzz77bIAZYpsbY83lfIfXUldfS+u04rTS12i6qf3JU3KUxuUl8XjHgGLAacUJoSgG8mjlzTff1EMf8cldDoiIKRoNJz8HO8SkjD6LNC89PCLbwGkzOPhCWjFJo2EcOuHEM3n5iVkajRfGUONFd1BPDJOH35e+9CU96JIWmLnhNPSGG26oaUnPqeUbb7xRU9lhlrg9ov+oaUXimIihbb23+GOOOabkMIsww1o/5YoZn4T+26lsq0sY3UT0E7U+kWQmq666aqaF7f9IX6uB00qSOK1Uo5D6x+XRZP1rbG6Js1C9dLoidJrz64qI8IhcDDit5KLIE3yGgZ7QCtJDpGi1Htpgq5it6q9//etq85CmYOQaSSN2FONDItTxwQcfhEGDBhUaM9KSp2j6QoVKIrad5dSzbn3POuv/NoCwBYmEkbpiHcuiZbZbOqeVYiPmtFIMT/VI1ROarEf9vV2GM4q9jfE+XF+nvTx9eCgb3rVm0AprYhT8l1xySTW6zYfVDp5wgrpWxrPhSPIKFANOK04IrYaBZtBkM3HgOorNxL7X7RhwDPQaBpjc8dqC/tq2226rJ6eR0j300EPOJPbaKLRHRU4r7TFO3srewYBLFHsHzx1RS6etsjpiUBvUyWbTCtu3gB8CadAA17FYp5U6ItOLqgsGmk2TdelEDYUUYhRrKM+TOgYcA44Bx4BjwDHgGOjTGMg53tGn+l7IjmInIaRPjW4vd6bTVlm9jN4+VZ3TSp8azoZ2xmmloej1wruBAWiyk8B1FDtptL2vjgHHgGPAMeAYcAw4BmrAQF0YRSSOGJ4Vm2Rht912Cxiy/fTTTys2A7+sRx55pHo0ELtoeo95iiKAJwXqwNRFOcDo7fjx49Ugb7n4WsOuvfbacNRRRxXK9qtf/Srsuuuu4ZNPPqmY/p///Gfqc7Zioj4e8fjjj4eJEyeGb3/722o0Oa+7v/vd78I555yj4y5280r8+sZ5oUOMI2dp6d133w1XXnml5j///PPD+++/H2fz+xbGQK20Yl3BfA7GtGNXesThxg9D1XvssUe44YYbwl/+8hfL4tc2x0CttDJz5kz9VvG9wLD6H//4xxIMQEPf//73dd7AA082viSxPzgG+jIG5ONaFaTvVeOJFKZPDceOGDEiERtler/GGmskwhSVzSsfbU2z0047qcHc5ZdfPjn00EPLps0GyoureT/++ONslD7LCUaNF4axbHytgQcffHAi7r4KZRMPClq3MCYV06+77rqJeJOoGN/OEUVoBePCpAOnY8eO1XthAit2W+zcaRoMGe++++56D42JaZMuecR9msbvt99+aZwwhWoEWXzgJsLE6724QkswrOzQPAw0glbi3uy4445KC8IUpsGyuFQj29AStIDBbe5ffvnlNI3ftB4GGkErGHKnXOYCjLhDB/yEeVQEYNwc4+WkIZ75A+PrGLZ2cAwUocm+hKVcLjAPIWIMVl+mk046KcXLNddco2GxV4U0Um7EV6m+lOKfNQ4udN/bjGKhRn2WqAijyGTTqYwiXjH4OMPwyalTxRq4gMYqMf7f+MY3dDIXyY+mv+uuuzT9ww8/XDI0YgdPwykrZhStfDGIrOnNMwY06tA8DOTNK92hFesNnlEon1/MKNrcIb6iNal59JAdA8vq1xbEQCNoBaEGHnVswcligXoQegAXXXSRPjOvACJN1OeTTz5Zn/2vszGQR5N9DTs93nrGQ4BI3XS7V5CnICsxveKPNQtsT7N9yJbPyJEjw/3336955cVMkz744INhk002CQMHDgzrrLOOOr5PIzM3bAfsv//+6mlhvfXWCw888EBJCraXhg8fnpYlDEJJfPwgbsB0S5Tt8KWXXlq3HdiqZKvbQFxvqQcH2jZq1Cj1C7vBBhvAcFuScPvtt+u2+uKLLx4oS6RXGjdhwgT11Uob2O7oNHjllVfCn/70J90SNI8Shgdh/Mqi47777lP8zzPPPBq/2WabBWE2gzCMaXpUGcCzSJGCSKfTcG7GjRsXoKf55ptPw61ecXtWks4fWgsD3aEVeoCnlb322iuIq7suHWIrETBa6t+/vz5jeNuhfTFQK62gfiA7XjrX26EEvPOIRDGIW0VFBLY1N95447DsssvqM4ba8avN3O7gGOg0DPSYUVxuueVUf2yJJZZIcQdzBsCgZUFWcmGVVVbRl1IkS4EXFOYLZ/cAjB6MFx9/kVIGJnNe0KzeGWnRU5Tty3DdddcFyhJpnepJEgc888wzQba3g2xzhgsuuCAss8wymm7KlCn/S5D5l1VlmDRpUkDX5Wtf+1pYcMEFA5MQzwC6ckwe4j9W9RbRNxS/scqIxEXxodp6662VwaHd6EMBIh3Tfg8bNiyMGTMmztIR9+gEAYy5gd2X0//hw86CAqbdAEaPcX7rrbcsKJxyyinKIMSLDYuE1tZff311x3bVVVeFXXbZJcg2ko6FpfFr62GgVlqhB7JDoQsGFozi97hLp3gnGXvevbPPPlsXeiRiMeHQvhiolVb69eun8zyCCoOf//znOtestdZaGvTSSy/p98LiufL94Bvh4BjoNAzMXu8OoyguDuzDQQcd1EW6Q10wijBqzz//vE7q2fqPP/54lRiR8lvWdQAAKWBJREFUZo455ghI4UaPHq2MGUxfDKz6HnnkkfDoo4/qCpE4vC4gtQRmzJihV3y4wnxus802YejQoWGhhRbS8Ep/MKvmzku2z9NkJgmFqYWJpI8rrbRSePbZZ0skirIFrQwsGV9//fXAJARsvvnmWjeMKx+tToPf//732uV555037frnP/95vUfSmAWk1UCcnucFFlggXflPmzZNpUf33ntvKjUkTRaIN4Z9u+22C1ZvNp0/twYGaqUVWg3zJ6oF+t6bpCjuDRKjNddcUw+zPPXUUxoFLZjUKE7r9+2Dge7QStw73DfusMMOgZ0w0V3VKIQC7BjFwDzEwhVj7W6oPcaM3/d1DPRYohgj6JJLLglMvGwDwizWCmzfTp06VbPB3FEWP1Z3SJCy24XPPfecpo0ll0j8DGBKkSCILop+DI455hjdykbKVAnY1jQmMZvmiSeeUIYUJtGgHMO32mqrWXRAeliOCUoTdNDNXHPNpb1FEmtgHjIGDBhgQenV0iNdjuHvf/+7Moui16jSIBj2jTbaKE7S5R6pERIntrJh5JH6OrQuBmzsi9IKVhdEH1V3F9gmLAecbGUhi9oC5aL2cs8994Q999yzXHIPaxMM1EorcbdYaPL9QMCAUADhBDD33HMrQxinxZIHiw1nEmOs+H0nYKBujCI6QZg74aONSRl74WpBIh9ygIl+xRVXTH8wjZRv8VYmDAOAzolBzFQgOWT7+Xvf+55uG5x++ulh9dVXV1Mplj57hbGsBKwmBw0aVBJdbtIwHSgS4kvW4X8YMAZcDpakKJHDUHq/5JJLpmF2Yx/8rDkb9IjYfv7JT36iCwg5vKALASRDL7zwQmALmnuYUH5GH4wF202YTYFhiJkQq9OvrYGBWmkFk1wAZrcYe3TQAFRSTMeYMWdXYcstt9T5iV0GJEjQj9OCoqst/2qlFeski4S1115bVZPQY0bv3ID5KLvAZx5i+9nBMdBpGKjL1rOcYg5yGkx1FTnY0l2A6RJzBSo5pEzbPrr55ptVVxDdkhhMMshBCCZ/ACmBAVvIbPvSNiRI6Lyhewgja9uQlrbIdeWVVw533nmn6kbaKjbemi5SRiensS0+pMamd2iHWFjRZwGGG8bdDjwRjy4jzOCBBx4YGA8OIMWAJBsmctttt1X64TAUixarh7RsKyEZ6M5iJq7L7xuHgVppBQYQfWkDdh9QQdlqq63CpptuasHB3lsLYPHn0N4YqJVW6C1M4hZbbKE7VnwPkCDGwLdFTHkFDjrZYv/uu+/W7ek4nd87BjoCA3nHuAUJVZPIQQ+O+6pdPEyOxD8zQ5EtAHMUwgCkwdiywl4hYGYJ5CRzItLAxEzOmJ1FM3GBORVM8whToHULQ5jIwRE1v0J7sKMoxna1bdSHmQPSCIOQyAGUtO74RvQh1XZWHIapFew8ArSHsrERKQdoEuxA8sxPpJ1pW2M7inKIRuOtTNmWTmQVmwjjYkF95goe8kA+6Dr2oleaiJ6Yjh8mcAwwfyNbgQn2DwGjh5tuuimRg0UJaaGdSuZ0GKvYPI6cUlT8n3nmmYnoxSaYcaKdhx9+uFXp1yZgoBG0EndDpEE6ziJFTINF9UTDoCnMoYiqjD7LAac0jd+0HgbqTSsfffRR+p244oorSr5ZopqiCLC5HnM5omeeYBaHdjBnOTgGitBkX8JS7pc9DyHf+c539AUiXfbHhFwOmLArMYqydZzINnNaFoydbBUmIiHQomJGkQAYQpgvq9sM7ZrB7VNPPTWdFEiDseaYkYvbJycluzCKBxxwQInBbSYSqw+Gz+qjHD5K1BGXb4yO1SMSsLSt9LUvAX3PA1E8V0bZxovxIMxA1AMUP9i4A0QvKGFcLD24r8ZkY8g7ZhRh4Hm2/FxZlIjaglXp1yZggHHIg1ppJS4Pg+rUETOK0BJjH9MCTCILTofWxUC9acVsscZ0YPfxolUOL6a0wvdKVJhaF0nesl7FQBGa7NUGNbiyWShfOl0R2P7NSVIxb08i0C3j1Cs6gWb7rlp56JOwnZjdQiAP2wdsNy666KI9Ou3KFqgwgSXmNDiVzTaGMDbVmlcSx7YY2xl97eRtLbSCvg+qBtkTzSWIih5wiyiSAB3DKLjwLfmhJ2xbZrcfCxfiCeuGgUbSSl4jMavFSVl0YPvaO5jX93aMbyat2HeIeYN2ODgGwEAtNNkXMNayjGIrIhd/wZyQ5FAMttqw/8jhHfQpOVHZ6dBpL0+nj3dP+u+00hPsdVZep5XOGu926G2n0aQzijVQJatLjDtjnR/biRyawBg4hsFN4bmG4vpc0k57efrcAPZih5xWehHZbV6V00qbD2AfbH6n0aQzit0kYrYyfduqFHmd9vKU9t6fasGA00ot2OrstE4rnT3+rdj7TqPJQoxiKw6Ut8kx4BhwDDgGHAOOAcdAMzDQjLMbzegndRayo9hJCGnWQPSFejttldUXxqxZfXBaaRbm269ep5X2G7O+3mJospPA3YZ00mh7Xx0DjgHHgGPAMeAYcAzUgIFCEsUaytODHRzywO1eJcDNHieFH3rooTBkyBA1gYPLPjFgXSlLGv7LX/4yXHXVVeqWr5yZE7GfGCZNmhTEwHKJS6a0gMwN3lrw8iEGvoPY6MvEdn3Eij+mdnApWAkwoYNfUEwqOHTFgBhpV68HmLvZbLPNgthS7JooCgHfd9xxR8C3N67ZcMsWe1UB33jMeeSRR9RbC3S0wAILaAnnn3++mtWJiktvxQZo+NznPpc++03rYaBWWpk5c2aYPHmyWiRgbsFKAWaxDHDniDclPDbhwm/06NFqVsvi/dq+GKiVVqynzC3k5bsRA24dr7766vDEE0+oxzC8/0BTDo6BjsOAbCtXBUFI1fg48rzzzlMDpcIExsFd7sXMjKbDswlGTfGmYZ5XuiTOBGQNbmeiE2E+tWwzuJ2Nzz6L32BNL36Ds1Fln/fdd9/UU0u5BBjbxki4fIzKRffpsCK0Im6xFN8Yxh47dqzen3POORXx8sYbb2gacCoMot5jpFtsY2oePLgQh0Fc8dur93j6weAyMGLECPX+ggcf+9FOfsI0aBr/630MNIJWeOcol/HfeeedlRagDWEetYNiP1GN7xMGrSy88MKaBi8tDq2LgUbQivVWFpdKM3jbigFnCDhUMFph7qAdlbyNxXn9vu9joAhN9iUs5HKBRRCCBwXxqaovEunzGEXieQHxmlEr1JtRrLX+PEaRjxI4cEaxK2ZhzPg4w/CJqSFNcMQRRyi+Krnkw1MCH37xyavpzauCeWex/B988IHGT58+XcvDlWQ5+MUvfqHx5557brloD+slDOTNK92hFRYFG264YbqIgAGkHtywATZ32Mce7z/E4+LToXUx0AhawTOTuXSk/CyjiMtQwh944AFFDPMV8xDCDQfHQB5N9jUM1UVH8cYbbwziu1e3E4URqGrB/oQTTggiRQzy4Q8jR44MeDsZP358EFd3gvv/wYMPPhg22WQT3TpeZ511ws0332xRXa5//OMfddt46aWXViPY8mJ3SRMHsCV+4YUXhuHDh+uP+tmCmjp1qibDVqL49QzDhg0LOJs/44wztH3iRzothjRsU6ywwgqaZuLEiYEw+rTddttpusMOOyxcfPHFaR6/CUF8NQc86IhLxtTbDmMPCONXFkXiMjHstttuYZ555tF4tqqhMWEY9XncuHEBeplvvvn02bz44P0mC8KMBnHZFjbeeOMgrhmz0f7cQhiolVbYUkYtgXfRFM2XWmop3VaWXQPtGWomgNFS//799RnPTQ7ti4FaaYWeii9nneexiytuWNP5yLDAlvPmm28eZPGhQcwrzFGy+2FJ/OoY6BgM1IVR3HbbbYNsEQaRKuYijhdvlVVW0QkcXTMmczycvPbaa5oXRg/GDT1GDFkzmWPUOmbUrBJcccn2ZbjuuutUbw3dSBjRasDLDpMgEs2w4IILqi4bjAYu5QCRPqj+5Oqrr671wjSKJCK89dZbabEzZszQ9oh0May11lrKNF566aXqPhDGBdh0002V2Uwz+U1AfwxgzA3sHoY/C3zYYb5ZBBgwYTPONh7Q0vrrrx9Eoqi6qzCCsg0dRBJpWdIrtEE+dFzdQHqKlpa8qZVW+vXrp+8hi08D9BChH95RYOutt1baGDNmTDj77LPDqFGjNNzeWX3wv7bDQK20QgdFOqiLVhYWsb6zdf7VV1/VeQrd9YEDB+ocxHdg/vnntyR+dQx0DAZmr0dP7WNfpCwYxSlTpoTnn38+iB5RlyzHH3+8SoxIwwuML2UUzmV7qMthFw7DcIABaSbSBGDw4MG5zKLoRGobYDpiBuXDDz/UD4joS4azzjpLy0OyCAMsomR9tr977703LLbYYhqOcvyTTz6pvotReD744INVamVtsjydfsW/LhD7dzaj5Ugas4BvZiBOzzMHVUxKxDPAeOyxxx56j1TXytUA+UPCKNvNYdddd/VDRoaUFr7WSivZrrz44othhx12CKuuuqqOOfEsDtdcc81w6623hqeeekqzQCvsHDi0Lwa6Qyu2A1Gu10iYEVyw+OdbIeotgZ2Nww8/XJOzW+TgGOgkDNRFolgvhMGM2RYwW8RM4vxeeukllQRltxM5BQuwjWzAtmIewMDZFmWc1spj29sA6WYWkFjBJAJsc/HxKcfoZPN1+rOdUuc0oQFb9sCAAQMsKL1aeqTLMYh+UXqq2cKRConOq07ot9xyS9hrr70sSq+33XabXvfee++ScH9oTQzY2BellbgX06ZN0zmBRSOLOJMY4Y8dJhG1BcpF7eSee+7Rk9Fxfr9vLwz0hFbyevqrX/0qHHLIIUpHLDqwpuHgGOg0DLQUo8iHHlhkkUUC5nLsB9OIORqLt0GCYQDQTzLIMhUWHl/Zci4HVg71G5RjKE23ydL4tRgGjLlmm9gAKS6w5JJLWlB6tXEwtQCLQJrI9jMAo2njxnYyW4/oQMIQxEwGerFM9KgUOLQ+BmqlFesRjJ+cVg1yql51V9k2NIAmkPhvueWWyjyyCETCjI51TCuW3q/tgYHu0kql3jGPML9gtgsptAHPCARQeXJwDHQSBlqKUZx99tlVdwTJIXYWjzvuOP2xNQTDhh5SDOinAfFBCKQE3YWvfOUrmhWJhAF2G7sDriDfFWu2xWdSY1LY2CH9yQKHDpDexmOKqsALL7yQMorrrruuKp3HebG7yARvkiT8ciMZQDrt0B4YqJVW6BVM4hZbbKHjjCpCue1Fkz4ZFtBhdGhvDHSHVvJ6vNJKK6l6VCycYA5BtzFLQ3llebxjoN0xUBcdxXoigYMm++23nxrBRueMbWcOs6A3CCMZAyeiWfmZQjKGl7/3ve/FSWq6R9cSZmKfffYJr7/+uuqynXbaaTWVYR+nn/3sZ6oMzcloh/9hAKkhEh0WATDlTLjo/XDwBF0g4O6771bj2eAdxXEOF0EPnHbGIDrpYR7RPwMwms3hBHRKYRJuv/12ZSxJZ6dfxUyKpkVC7dAeGKiVVpgbkA4CqJ/ElhIwfI+kmXgOp3G4hcNmMJMY0OcA1Jxzzql5/a/9MFArrRQ5kML3hu8Lh1n4JrEI4XAUp6QdHAMdh4E8ez+CkLwkJfHYyRNJYElY9gH7VfKxT4OxTyUHQPQZQ6eyzaw2rKhbJEOJbCUmImXUeLOFZnb3MKwtDESaXkwd6H0lg9vCWCbY3jMwg9sYggZkGzMRRlHt/dGXE044Qcszu3vCtHQxuI2tP9nOsiITDELTdjGvkIZ1wk0RWsHmJoZsScsPXBFmcPrpp2s4Nu4A8XCTiF5hmp6xFimkJVdbnIyJlccVWsJOmoFsOWq8G1Y2jDT/yjjlQS20YvY1Yzqwe95PAFqCNiycqzCJiag/5DXF45uIAcYpD2qhlWxZsoDQOSkbLpY29Ptj9HLQQQd1y/Zvtlx/bn8MFKHJ9u/l//dgFm6l0xUBqUxOkop5exKB7hmnXgcNGlT24Em2bHRH2G6ce+65s1GFn9E94aQbuihmkgWzP0uJpBHzPNXcEmYrwbQLW6e2/ZmN74vPtdAKeodIgbInmivhhe1jXP7F7tjitMRDL0iPfGsoxkxr3jeSVvJ6zHsujIXqQmdPx+fl9fjex0AzaQUVIkxqMe900lze+6PcXjXWQpPt1bPyrW1ZRrF8cxsbCkPMAQq2MtiiYpIQCZeavsHchilNN7YV7Vt6p7087TtSzW+500rzx6BdWuC00i4j1Tnt7DSabKnDLM0mMwb/zjvvVFuMGBHHMj8n4LDX6Exis0fH63cMOAYcA44Bx4BjoLcx4BLFChg3+37ZAzQVknuwYKDTVlk+6N3HgNNK93HXaTmdVjptxFu/v51Gk4UYxdYfNm+hY8Ax4BhwDDgGHAOOgd7BQDPObvROz7rWUmpvpmu8hnQSQiqgwIMLYKDTVlkFUOJJKmDAaaUCYjy4CwacVrqgxAOajAFospPAdRQ7abS9r44Bx4BjwDHgGHAMOAZqwEBdGEUkjk8//XQQm4Nht912CxdffHEQm2UVm4GbPQwp4yN555131nvMzxQBPKVQRyU3SmI/MYwfPz688847RYorSXPFFVeEk046qSSs2gMmNmjLsGHDwnnnnaduwMxfdLV8nR73+OOPq5H0b3/722Hy5Mm56MDTyjnnnKO4xhVfJTeN0OHRRx+tpozKFYrxdg4pVaKdcnk8rLkYqJVWGONTTz01TJgwIYjNVXXxGPcAV30Y5cfNIxYNXnnllTja79sYA7XSinX1jjvuCEcddZQ9plenlRQVftPpGJCPa1UQ/FSNJ1KYPjViO2LEiNTY9BprrJHIi1Y275VXXqnpd9ppp0Q+/GrAWizhl02bDcwa3M7GywllLbuSwe1s+vgZw94YdC4KtB/8YMRXvDwk4k6uxJh30XL6SroitIJhc9KJL95k7Nixei9MYEUUiB1LTYPh9d13313vMdItpou65Ln88ss1HgPcWRDXfwmG3akbo+oOzcVAI2hFXD3q+PIOi4clvedqgDF/jL1DSxhZxvg+7fjNb35jSfzaghhoBK1YNx955BGlAb5XMTitxNjw+ywGitBkNk87P+dygXkIwasBaUQSl+Lhmmuu0bCf/vSnaVh8Iy7cdLIWP5pxcKH7VmIUmVzEJV3a7qzXlzSiQ27yaAUGDW83MHxyqlyxgpcc8pmnnSyq8KoBgyc+eTXKPHDE3lmIEDuXWg5lZRlFaAbmgDh+zihmsdz7z4xDNaiVVlg4wCCyWDO46KKLdLzNI89NN92kzw888IAmgQahLRZ8Dq2LgXrTCj3FcxMewmxOyDKKTiutSw+t0LI8mmyFNtazDT3eesYbhkjUdLtXkKew6qqr6rXc9i/b02wfyodf/a+KFEDzyqT+We4QHnzwwbDJJpuEgQMHqr/N2G9rmuizG5EUqT9OPKmst956QT4CJUluuOGGMHz48LQsYWJL4qs9sOWJT2G8feAknm1ptiOAUaNGBZzET506NWywwQbah9deey1QPlvfDl0xwDYfHnTY9pttttk0geFKGL+uGSTkvvvu0y1nvNwA+HwWZjMIw6jP/LEVjQqDuG9MfUankXJD3NZbbx3OPPPMONjvWxgDtdKKLDoD/sFjX+/YQAWYa4Crr75abaPKzoc+Q4PQHWoNDu2LgVpphZ4+88wz6lQB383MGzYfGRacVgwTfnUMhNBjRnG55ZbTiXaJJZZI8QlzBsCgZYFJepVVVlF3eyJZUvd4jz32WIDJAmD0YLz4+MOY9e/fP2y//fZl9c7QNZPty3DdddcFyhKJnupJWp1MBiItCLLNGS644IKwzDLLaLopU6ZYkorX9957T5lD9F5wEL/WWmsF8WEd9t13X80jPmKVYVl22WW1zDFjxmif0Ffk3qErBmbOnKmBuEQ0sHsY/izgBpGPvLlTJJ4JnXHGrZYBkz2uFuPFhsVxFYlSuP7668OCCy4YB/t9C2OgVlrB3umGG26oCwUYBxYFIq0OzDcs8oBXX31V55v9999fF47QFXqM888/fwtjwpuWh4FaaYXyRJKsi9aJEyeWdc3ntJKHdY/vJAzMXu/O3nrrreGMM84I4kC9rHSHiRtG7fnnn1dJT7b+448/Xhkw0uBbE6X00aNHq7IxTF8MeEwRHZPw6KOPBtk60KjBgwenzOKMGTM0DB/NMJ+yTRyGDh0aFlpoobiYsveXXHKJMilIDZdffnlNw+RyyCGHBNk6VwaVjxFhSKwAyoUpRXrl0BUDHP4BYv/O5msXSWMWkFYDcXqeF1hggfD2229zG6ZNmxa++93vBtERDfPNN5+GZf+GDBmSDfLnFsdArbQSd+f8889PFw1I/nHFCbAYxZc77zNMJNLqww8/XOMOO+wwvfpf+2GgO7RSaa6g99CL00r70YG3uHEYmLWeRcNcifK4Mk4wi7WC7KnrVi75YO4oix8nGZEg/fWvfy0p0k4Yx5LLjTfeOE0DU/rFL35RJQ1I/kQnRbeykWjmwfTp0zUJW+XWDk7HAbTHoXYMzDXXXJrJtu95MA84AwYM6FKgpUe6HIPoFymzKHqNYdy4cboo2WijjeIkft/mGLCxL0orcXcvvPDCIDqOaokABhBrBjGw+GPBJzrUATUZV0mIsdN+9z2hlbzeOq3kYcjjOwEDdWMUkepg7gRJ4rXXXltWnJ+HUPSMgEUWWSSsuOKK6Q+mkfIt3sqBYQD4KBjETAUSPraf0Vti2xlzGKuvvnqQU9eWvOIVplQOQKRtoD0wI7SD9jnUjgHzl/3BBx+kmeUwlN4vueSSaZjdGJ7ff/99C9Ir0kS2n3/yk5/oAuLGG28MLAT4vfDCCypN4t6Y0JLM/tAWGKiVVugU84Exlkiq2WJmoYgJJvQVoRk5Ma/vtSGBZ6TZbjLJMNJ+1+7QSrVeOq1Uw47HdSIG6sIoshWL5A2l8HPPPVcn5e4gEz0jtnJh0igTnUB+fPTRTevXr19JsSYZjA9CcDjGAH1HJJscnuDwAwwKHwsY2TygTvTjsJNo7dhyyy31g1JO+pVXnscHHUfwwAEgAxs7VAaywAEWPvTxmKLLCDPIOK688srhrLPOCt/5zndURQE1BQ66oIbAfadZz8/ir52fef+AorTCuw1zyIEWg08++UQXEp/73Oc0CF1FVF7iBScSI+Yck0pZXr+2DwZqpZUiPXNaKYIlT9MxGMg7Qi2IqJpEDnuoiQHs4smJ35JfJftkYtw0EQYgLVcmarVFSICZtBBpQCLSwOSWW27R8s3OYmweB9M8wjCoTb6f//zniRjtVvMrtBk7ik8++aTmpT7Mp5AGMyn77LNPWnd8E9tRfOqppzTvpptummCbUT5YWhcmOERqqdm4J48Bz9hpE+bHgjrqmkcrIANzQoy96JUm4JjxwwSOAeZv9txzz0SkiBpk9IC5CjmkoGnJX8mcjuifdTGPY2VDn7TRzeMYRpp3bQStyG6Gvt+iIpL8+te/TuQ0q473nXfeqR0VY/36zPvP/ID9Ttohh6GahwivORcDjaCVuFI5mKjzdhzmtBJjw++zGChCk9k87fxcnQuUnuUhRKQ5moZ02R8f+XKA/apKjCJMmGzvpmXB2MGMiZRRi4oZRQKY8GHQrG77OJjBbfHSkDKPpMFY87vvvluuWVoPZRncfvvtXfKKRMKiE2xvieQqfRbpVtoOYybTyA64Ab95IIrnOinbeDEehBmIeoDi8M0339Qg8fCT7L333ileGZ9qjDgLlqwdRStbTsdrOc4oGkaad20ErWBUXU4+p7TC3HHVVVeVdJLFJOFGfzCXImEsSeMPrYWBRtBK3MNdxfg6C/wsOK1kMeLPhoEiNGlp+8J1Fjohna4IzXLIjn4Zp14HDRrUxcZVucaiZyQfgDD33HN3ieYUGzYRF110Ud2e6pIgJ4B2sN1sJ3SrJWfbHB2XImmrldOOcbXQCnqHqBpkTzRX6jfbiB999JGOYaU0Ht4+GGgkrbANzUEn7J9m7eOBIeYDDscxH2BZwaG1MdBIWsnrudNKHoY6M74WmuwLGGpZRrEvILfT+tBpL0+njW89++u0Uk9s9u2ynFb69vi2Y+86jSbrcpilHQfa2+wYcAw4BhwDjgHHgGPAMVAdA84oVsePxzoGHAOOAceAY8Ax4BjoWAwU2nruWOx4xx0DjgHHgGPAMeAYcAxkMJBzvCOTur0fZy/S/E5CSBF8eJryGOg0vY3yWPDQIhhwWimCJU8DBpxWnA5aDQPQZCeBbz130mh7Xx0DjgHHgGPAMeAYcAzUgIFCEsUaygsnnXSSes3A7V4lwM0enlfEkHUYMmSImsDBRd5OO+1UKUsaLoZQg9hGU7d85bwpiP3EMGnSJPXfOnDgwDSf3eDjVWxmBTH8bEFVr9SFizhcfJmvZ7Htp6Y3qmb0yIoYECPt4cc//rGau9lss83UrVrFxBKBaSNwj29vvK7svvvuJWZN8LSDuZMYhg4dGrbaaisNyouP8/l9a2GgVlqx1v/5z38O+Hned999w7Bhwyw4vbJLgu/35ZZbrtC8k2b0m5bFQK20MnPmTHXv+Nhjj+l3SAz9l5jfwjUs/sDFUUPYYIMNwujRo0vcP7YsIrxhjoF6Y0AmzKog9VWNjyPPO+88NWQrTGAc3OVefC1rOmEMk8suuyzBm4Z5XumSOBOQNbidiVYvKrTZDG5n4zH0jaeWIkAZlIUxVoyEi49hNdYrk0eR7B2XpgitCIOoOMUw9tixY/UeDxmV4I033tA0GEkWBlHvMdIt9s3SLMTxw8uL/Y488sjC8WlCv+k1DDSCVuLGm+H9W2+9NQ5O7y+//HKlpUrG2dOEftN0DDSCVpjDKRevYDvvvLPOH8whwjxqf0UwoM4WCMMgt7gG1TQvv/xy0/HhDWg+BorQZPNbWb8W5HKBRRCCZw2R3uiLR/o8RpF4XsDueEToTUbx3nvv1T7hShBgEqF/ziiWJ8A8WsEjChMuDJ8YVNdCjjjiCMVpJZd8uPdjMhe/25oeF3/UY95ZxBi6PuO2rRzkxZfL42GNx0AjaMVaLTsAShPUUY5RxJ0ncfycUTSste61EbQyYsQI9eJjC04YQOqxBaZ9Z8wNLZ6iiC8qZGhdbHrL6oGBPJqsRx2tVEZddBTZmhXfvbqdKIyAKh8LIsvCCSecEESKGOTDH0aOHBnuv//+MH78+CDu/tL0Dz74YNhkk00CW8frrLNOuPnmm9O47I247QriFzosvfTSYb311gsPPPBANknV50p1sTV64IEHat699tpLt7O32247fWZL6+KLL65arkd2xYD4ag540BGXjKnHDMYeEMavawYJue+++8Juu+0W5plnHo1nqxoaE4ZRn9mOBlZaaSWlqX/+85/6bH958ZbOr62Fge7QCj0QCXTgfRU3oGU7hNqLSJCCSByD7GSUTeOB7YWBWmmFLWVUWCZOnJh+q5ZaaindVpZdI+08qguAzTv9+/fXZzy1ODgGOg0DdWEUt912W52gTSesGhJlJRdWWWUVfSnRNeMFRUfktdde02wweuiDMKGj78gLuv322wfxu9mlWPQGZfsyiA9f1VuTbccAI1oUqtW1wgorKLNKWfQPJnTcuHFa9KabblpW76lovZ2aDp0ggDE3sHsY/iwwWbOgYBFggEs2xtl0Ep999lmNgqmHVtBbhRElH5AXr4n8r+UwUCut0AHZoVAmkHdV/IOX7dMpp5yic1W8MC2b0APbBgO10kq/fv104Y+gwgA9ROaMtdZaS4O23nrrIGpKYcyYMeHss88Oo0aN0nD7Blg+vzoGOgEDs9ejk/axL1IWjOKUKVPC888/r5N6Ns/xxx+vEiPS4Id1woQJqkQsIv8uSucchnnkkUdUmskKERg8eHBhZrFaXbLVEGAIRe9SD77QxyWWWCIcfPDBYeONN9YVabbt/lwdA6KioAli/87mExtJYxbwsQ3E6XleYIEFgq38n376aYL0gNIBBxwQbr/99nDppZeqpEB0YUNevGb2v5bDQK20Qgf4oE+fPj3MmDEjlRTFHZs2bZpKGkWlJMw333xxlN+3MQa6Qytxd0UVIeywww5h1VVXDaKPqFGiGhXWXHPNIKoL4amnntIwdpSWXXbZOKvfOwY6AgN1YRTrhSnZkw9Tp05VRjE+Nf3SSy+pBOmvf/1rSVW2rTh8+PA0HCauiFSx1rrSCvym2xiwU+psD7OqB0RXUa8DBgzQa/xn6ZEux/D3v/9dmUXCYApPO+209BT6RhttFKAXTqtfcsklufFzzjlnXLTftwgGbOyL0goLAtF31YXCIossEt59992SnogOrO4IHHTQQQEaceg7GKiVVuKes3hAnQUBAyecEU4AJ554ojKJqLigBoW1DXbMOBl9ww03xEX4vWOgz2OgpRhFto4AJnrM5RjYvcVbOAwDgM4JK0Agy1RoYJk/K6toXWWK8KAaMbDYYotpjg8++CCV6Hz44YcatuSSS3YpjbEB3n///ZI4pImrrbaahrHdbEynJWKxgO7re++9F6gzL97y+bV1MFArrZjOsBxGCPxsAYJ6y91336360KgroE8NQwAgeXzhhRfSHY7ZZ2+p6bB1BqPFW1IrrVh37rnnnrDFFlvobsTkyZPTOYl4JImYUNtyyy01OepQSBsvvPDCcM011wRfYBoW/doJGGipmZGJWk64BiSH2Fk06+ccZkFhOfvBR9cR4CCEvdAwCEWg1rriMl2hOcZG8XvbtkFqbHqHdoiFFX0WUCRHT8gOPBGPLiMfdztoxGEngBW/AfpGgB2G4r5SPHEOrYeBWmmFjzo2EQ2YQ9hZQAqECgmLzbPOOsui9XrGGWeovis6yDbXlCTwh7bAQK20QqeMSWQ7GTurc889d5e+mqTSIkzv2Z796hjoGAzkHcEWROQlKYnH/Mlxxx1XEpZ9wMQA9gwNMH8iun/6KErmaoZATjInmKW55ZZb9NnsLJrZAsypiDRK7eZhk0+Yg0QOvKj5FdpcxI5iXl0ymWjdYvBZ2yYThT5jUsPMJlgf/Cp6AwVoRT7oOvZySj4R3R8dP0zgGGD+RrZ3EpEiapCN0U033ZTIYiEhLbRj5nSMPmT7ORFVBKU92iH6p5o/L97q9WvvYqARtBL3QHRelR7LmcexdNhvdfM4ho3WvdabVj766KP0O3HFFVckIiFMf2JlQRGB3VzqZf7BdI6osejzLrvs0rqI8pb1GgaK0GSvNaYXKsrlAmtFSBFGkZewEqMoW8eJmLbQl5K6sbcop1gTkRAoOmJGkQAYQtmGTNObod0ijGJeXTCftAGjzwYYeyZs8803tyC/foaBIrSCzU0MmJOWH/gkzOD000/XcOyWAeIFJ5ETrGl6xtpsKBLPGMbxlClmLzS8SDxpHHofA42glbgXonagNFONUWSB6YxijLXWvK83rZgtVsrN/mzRyryD8CKOh0lEOOHgGChCk30JS7PQGel0RWiWQ3Z0jDj1OmjQoNTmXsVGSgSnZtFTLLeFUC0fcbXWhdkWtkVN8Tmv/E6Jr4VW0Dtk+z97orkSrj755BN1+bfooouWTUL8O++8o4dayuma5cWXLdQDG4aBRtJKwxrtBTcFA82kFUywcaoafWmz0NAUJHilLYWBWmiypRrezca0LKPYzf54tiZioNNeniaiuu2rdlpp+yHstQ44rfQaqr2ighjoNJqsi8Htgrj1ZI4Bx4BjwDHgGHAMOAYcA22EAWcU22iwvKmOAceAY8Ax4BhwDDgGehMDhbaee7NBXpdjwDHgGHAMOAYcA46BVsZAzvGOVm56zW3LtaPYScioGXuewTHgGHAMOAYcA44Bx0AfxoBvPffhwfWuOQYcA44Bx4BjwDHgGOgJBpxR7An2PK9jwDHgGHAMOAYcA46BPowBZxT78OB61xwDjgHHgGPAMeAYcAz0BAPOKPYEe57XMeAYcAw4BhwDjgHHQB/GgDOKfXhwvWuOAceAY8Ax4BhwDDgGeoIBZxR7gj3P6xhwDDgGHAOOAceAY6APY8AZxT48uN41x4BjwDHgGHAMOAYcAz3BgDOKPcGe53UMOAYcA44Bx4BjwDHQhzHgjGIfHlzvmmPAMeAYcAw4BhwDjoGeYMAZxZ5gz/M6BhwDjgHHgGPAMeAY6MMYcEaxDw+ud80x4BhwDDgGHAOOAcdATzDwf3XRCLDOPQMKAAAAAElFTkSuQmCC)
Conclusion
Our phantom study suggests that breast IMPT remains well within recommended dose constraints of 100 mGy (ICRP 84). The use of a range shifter considerably increased the foetal dose in all plans; therefore, clinics may consider a material with lower neutron yield to follow the ALARA principle. Compared to conventional x-ray therapy, IMPT of the breast exposes the foet orders of magnitude lower stray dose, roughly 120 mGy (Fenig et al., 2000). Future work will investigate later stages of gestation with larger foetal volumes closer to the treatment volume.