{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T14:06:09Z","timestamp":1785852369058,"version":"3.56.0"},"reference-count":41,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000},"content-version":"vor","delay-in-days":9,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Lattice radiotherapy (LRT), a form of spatially fractionated radiation therapy (SFRT), has emerged as a promising approach for treating massive tumors. By delivering high\u2010dose regions within the tumor while sparing surrounding healthy tissue, LRT offers distinct advantages over conventional radiotherapy. Recent advancements in treatment planning systems (TPS), particularly the integration of intelligent optimization engines (IOEs) with automated planning capabilities, have the potential to further refine and expand the clinical utility of LRT. This study aimed to comparatively evaluate the planning quality and clinical feasibility of lattice SFRT treatment plans generated using the Ethos planning system, equipped with an IOE and O\u2010ring linear accelerator, versus the Eclipse planning system paired with a conventional C\u2010arm TrueBeam linac, in patients with stage III non\u2010small cell lung cancer (NSCLC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Twenty retrospective stage III NSCLC cases (GTV\u00a0&gt;\u00a0200 cc) with available PET\u2010CT imaging were selected. A total of 40 plans (20 Eclipse, 20 Ethos) were compared, incorporating lattice spheres (1\u00a0cm diameter, 2\u00a0cm spacing between spheres) placed in the tumor, FDG\u2010PET\/CT\u2010informed intratumoral heterogeneity, prioritizing viable perinecrotic subregions while avoiding critical OARs. Plans aimed to deliver 15\u00a0Gy to lattice spheres, limit Valley (PTV minus spheres) doses to 2\u00a0Gy, and restrict doses to organs at risk (OARs) to \u2264 3\u00a0Gy. Dose conformity, OAR sparing, dose gradient parameters (PEDR, PVDR), planning time, and deliverability, which was evaluated using ArcCheck, EPID gamma analysis, and MLC log\u2010file verification.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Ethos demonstrated statistically significant improvements compared to Eclipse in lattice sphere mean dose (17.2\u00a0Gy vs. 15.83\u00a0Gy,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001), V15 Gy coverage (98.2 % vs. 91.74 %,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001), and dose gradient metrics (PEDR: 6.42\u00a0vs. 5.80; PVDR: 3.70\u00a0vs. 3.29; both\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001, and VPDR: 0.131\u00a0vs. 0.135; PVDR\n                      <jats:sub>DVH<\/jats:sub>\n                      : 7.62\u00a0vs. 7.41). For the valley target, Ethos plans demonstrated a lower mean dose (Dmean: 4.72\u00a0Gy vs. 4.91\u00a0Gy,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.064), although not statistically significant, and achieved significantly improved dose gradient at V7.5\u00a0Gy (14.5%\u00a0vs. 16.35%,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.019), V5Gy (30.77%\u00a0vs. 34.84%,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.006), and V2Gy (99.77%\u00a0vs. 97.79%,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001) compared to Eclipse. Ethos achieved significantly better OAR sparing, particularly for the bronchial tree, heart, spinal cord, esophagus, and great vessels (all\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.01). Furthermore, Ethos substantially reduced planning time (36.55\u00a0vs. 95.96 min,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001). Both planning systems achieved high gamma passing rates (&gt;\u00a095%), confirming the accuracy and deliverability of the treatment plans.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The Ethos automated treatment planning demonstrated superior lattice dose conformity, enhanced OAR sparing, and significantly faster optimization compared to Eclipse. This automated optimization capability highlights the potential of Ethos for efficient and effective lattice radiotherapy in managing massive NSCLC tumors.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/acm2.70306","type":"journal-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T03:20:06Z","timestamp":1760152806000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluating the Ethos automated planning system for spatially fractionated radiotherapy"],"prefix":"10.1002","volume":"26","author":[{"given":"A Aziz","family":"Sait","sequence":"first","affiliation":[{"name":"Radiation Oncology Physics Advanced Medical Physics  Houston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoganathan","family":"SA","sequence":"additional","affiliation":[{"name":"National Center for Cancer Care &amp; Research (NCCCR), Radiation Oncology Hamad Medical Corporation  Doha 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