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@@ -418,13 +418,14 @@ <h3 id="how-can-i-use-my-own-patient-data"><strong>How can I use my own patient
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<h3id="can-i-use-other-open-source-software-for-dose-calculation-and-portpy-for-planning-optimization"><strong>Can I use other open-source software for dose calculation and PortPy for planning optimization?</strong><aclass="headerlink" href="#can-i-use-other-open-source-software-for-dose-calculation-and-portpy-for-planning-optimization" title="Permanent link">¶</a></h3>
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<p>One of PortPy’s goals is to generate <strong>clinically usable, deliverable plans</strong> with dose calculations<br/>
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that match commercial TPS accuracy. Therefore, we currently do <strong>not</strong> support integrating<br/>
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other open-source dose engines into PortPy.</p>
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<p>However, users are welcome to use other software for dose calculation and PortPy solely for<br/>
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optimization <strong>if clinical-level dose accuracy is not required</strong> for their use case.</p>
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that match commercial TPS accuracy. This focus makes PortPy not only a clinically relevant platform but also a
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powerful research tool for benchmarking optimization algorithms and their resultant treatment plans against the
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clinical plans. Therefore, we currently do <strong>not</strong> support integrating other open-source dose engines into PortPy.
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However, users are welcome to use PortPy solely for planning optimization and perform dose calculations using other
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software, provided this setup meets the needs of their research or application.</p>
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<h3id="can-i-do-proton-therapy-optimization-with-portpy"><strong>Can I do proton therapy optimization with PortPy?</strong><aclass="headerlink" href="#can-i-do-proton-therapy-optimization-with-portpy" title="Permanent link">¶</a></h3>
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<p>Currently, PortPy only supports <strong>photon therapy optimization</strong>.<br/>
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<p>PortPy currently only supports <strong>photon planning optimization</strong>.<br/>
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Proton therapy support is expected to be released in 2026.</p>
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<h3id="i-have-a-medical-physics-background-but-not-in-mathematical-optimization-can-i-still-use-portpy"><strong>I have a medical physics background but not in mathematical optimization. Can I still use PortPy?</strong><aclass="headerlink" href="#i-have-a-medical-physics-background-but-not-in-mathematical-optimization-can-i-still-use-portpy" title="Permanent link">¶</a></h3>
<p><strong>PortPy</strong>, short for <strong>P</strong>lanning and <strong>O</strong>ptimization for <strong>R</strong>adiation <strong>T</strong>herapy, is an open-source Python library
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designed to advance cancer radiotherapy treatment planning optimization. Radiotherapy plays a critical role in
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treating over half of all cancer patients, whether as a standalone treatment or in combination with surgery,
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chemotherapy, or immunotherapy. It works by delivering high-energy radiation beams to tumors, aiming to destroy
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cancerous cells while minimizing damage to the surrounding healthy tissues.
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Given that each patient has a unique anatomy, it is essential to customize the
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radiation beams' shape, angle, and intensity. The goal is to maximize damage to the
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tumor while minimizing exposure to healthy surrounding tissues. This challenge translates into modeling and
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solving large-scale,
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patient-specific mathematical optimization problems. PortPy aims to accelerate research
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in this interdisciplinary field by offering <strong>tools</strong>, <strong>baseline algorithms</strong>, and <strong>benhcmark datasets</strong>.</p>
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<h2id="main-features">🚀 Main Features<aclass="headerlink" href="#main-features" title="Permanent link">¶</a></h2>
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Since every patient has a unique anatomy, the radiation beam’s shape, angle, and intensity must be carefully
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customized. The objective is to maximize tumor dose while minimizing exposure to nearby organs at risk—a
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challenge that translates into solving large-scale, patient-specific mathematical optimization problems.</p>
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<p>PortPy aims to accelerate research in this interdisciplinary field by providing tools and algorithms
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to model and solve these complex optimization problems, as well as to visualize and quantitatively
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evaluate the resulting treatment plans (see image below).</p>
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