{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T13:59:11Z","timestamp":1791381551888,"version":"4.3.3"},"reference-count":49,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T00:00:00Z","timestamp":1754611200000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"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":["Medical Physics"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>CT lung imaging protocols need to be optimized. This claim is especially important due to the possible introduction of low\u2010dose CT (LDCT) for lung cancer screening. Given the incorporation of non\u2010linear reconstructions and post\u2010processing, the use of phantoms that consider task\u2010based evaluation is needed. This is also true for acceptance and continuous QC use.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To present and validate a lung\u2010CT hybrid phantom composed of two setups, one for task\u2010based image quality metrics and the other anthropomorphic.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The task\u2010based metrics setup was based on the well\u2010known Mercury phantom and the anthropomorphic setup named Freddie (from\n                      <jats:bold>F<\/jats:bold>\n                      igure of Me\n                      <jats:bold>r<\/jats:bold>\n                      it P\n                      <jats:bold>e<\/jats:bold>\n                      rformance evaluation of\n                      <jats:bold>D<\/jats:bold>\n                      etectability in\n                      <jats:bold>D<\/jats:bold>\n                      iagnostic CT\n                      <jats:bold>I<\/jats:bold>\n                      maging\n                      <jats:bold>E<\/jats:bold>\n                      quipment) was designed with the same basic dimensions of the Mercury phantom, but including pieces and materials for mimicking chest structures, such as tracheobronchial tree and lung parenchyma. This setup allows the inclusion of pieces of different sizes to mimic ground\u2010glass opacities, and sub\u2010solid and solid lung nodules. The validation of the phantom adopted three methods: comparative evaluation of the attenuation properties and the corresponding Hounsfield Units (HU) values of the selected materials; image assessment according to five chest radiologists and eight non\u2010radiologists\u2019 observations (reader study), and measurement of task\u2010based metrics. Images of both setups were acquired using two clinical thorax protocols, both using automatic tube current modulation (TCM). Two x\u2010ray filter combinations were adopted. The images were reconstructed using a deep learning\u2010based algorithm.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The agreement of nominal and observed HU values in the task\u2010based setup was within 15%, except for three (TangoBlack+, VeroClear, and HIPS) of the materials employed in the phantom construction, at some beam energies. In the reader study, synthetic solid nodules printed in VeroClear received average Likert scores 4.0 (range 3.0\u20134.0) from radiologists and 3 (range 2.6\u20133.8) from non\u2010radiologists, printed in TangoBlack+ received an average Likert score of 3.9 (range 3.8\u20134.2) from radiologists and 4.0 (range 3.8\u20134.4) from non\u2010radiologists, while those printed in HIPS scored an average Likert of 3.8 (range 3.3\u20133.9) from radiologists and 3.3 (range 3.1\u20133.3) from non\u2010radiologists. The synthetic ground\u2010glass opacities (GGO) nodules manufactured in EVA received an average Likert score of 3.8 (range 2.8\u20134.6) from radiologists and 4.3 (range 3.6\u20134.8) from non\u2010radiologists. The task\u2010based setup demonstrated detectability index variations across protocols influenced by the dose levels, voltage, and x\u2010ray beam filtration used.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The novelty of the proposed design is concentrated on the possibility of associating the response of the task\u2010based setup (Mercury) with a patient\u2010based setup (Freddie) in a unique phantom. This hybrid design enhances the potential to apply the detectability index for optimizing CT protocols in clinical scenarios.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.17990","type":"journal-article","created":{"date-parts":[[2025,8,9]],"date-time":"2025-08-09T06:20:27Z","timestamp":1754720427000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hybrid phantom for lung CT: Design and validation"],"prefix":"10.1002","volume":"52","author":[{"given":"Paulo Roberto","family":"Costa","sequence":"first","affiliation":[{"name":"Instituto de F\u00edsica Universidade de S\u00e3o Paulo (USP) S\u00e3o Paulo S\u00e3o Paulo Brazil"},{"name":"Department of Medical Imaging Radboud University Medical Center Nijmegen The Netherland"},{"name":"Departamento de Radiologia e Oncologia Faculdade de Medicina, Universidade de S\u00e3o Paulo (USP) S\u00e3o Paulo S\u00e3o Paulo 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