{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T23:16:51Z","timestamp":1778800611104,"version":"3.51.4"},"reference-count":62,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:00:00Z","timestamp":1753920000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Wyss-Campbell Center for Thoracic Insufficiency Syndrome at the Children\u00e2\u20ac\u2122s Hospital of Philadelphia"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Introduction<\/jats:title>\n<jats:p>Thoracospinal deformities in early onset scoliosis (EOS) patients often lead to thoracic insufficiency syndrome, in which respiration or lung growth is impaired. Pulmonary function tests (PFTs) are used to assess pulmonary deficits but are challenging to comply with for EOS patients, who typically are between 5 and 10 years old. Thus, the objective was to predict PFT values in EOS patients directly from deformity parameters measured on routine radiographs.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>Corresponding preoperative radiographs and PFT values were retrospectively obtained from 47 EOS patients (13M\/34F; mean age: 9.8\u2009\u00b1\u20093.0 years), and 19 literature-based deformity parameters were measured. Multiple linear regression (MLR) analyses using an exhaustive search feature selection method were used to estimate percent predicted forced vital capacity (%FVC) and forced expiratory volume in one second (%FEV<jats:sub>1<\/jats:sub>). Ten percent of the dataset was set aside to validate the predictive accuracy of the MLR models.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>The additive contributions of multiple thoracospinal deformity parameters successfully yielded significant (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) MLR models that predicted %FVC (R<jats:sup>2<\/jats:sup>\u2009=\u20090.54) and %FEV<jats:sub>1<\/jats:sub> (R<jats:sup>2<\/jats:sup>\u2009=\u20090.59) in EOS patients. For the validation test, no significant differences (<jats:italic>p<\/jats:italic>\u2009&gt;\u20090.05) in prediction error magnitudes were found.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>The developed MLR models provide the highest reported precision for predicting PFT values in EOS patients from radiographic deformity parameters. Additionally, a key subset of deformity parameters was identified, and their relative contributions to predicting PFT values provide quantitative metrics to guide surgical treatment.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0329199","type":"journal-article","created":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T17:50:45Z","timestamp":1753984245000},"page":"e0329199","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["Predicting pulmonary function using thoracic deformity parameters in early onset scoliosis patients"],"prefix":"10.1371","volume":"20","author":[{"given":"Mattan R.","family":"Orbach","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick J.","family":"Cahill","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annalise 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