{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T01:56:45Z","timestamp":1767837405120,"version":"3.49.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T00:00:00Z","timestamp":1736726400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T00:00:00Z","timestamp":1736726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Insights Imaging"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Objectives<\/jats:title>\n            <jats:p>This study aimed to evaluate whether minimum-intensity projection (MinIP) images could predict complications in CT-guided lung biopsies.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>We retrospectively analyzed 72 procedures from January 2019 to December 2023, categorizing patients by pneumothorax and the severity of hemorrhage (grade 2 or higher). Radiodensity measurements were performed using lung window (LW) and MinIP (10-mm slab) images. Regions of interest (ROIs) were placed at sites of the lowest density along the biopsy pathway. Absolute values were recorded, categorized by a radiodensity level of \u2212850\u2009HU, and assessed using our bridged radiological observations with measurement-optimized model (BROM-OLB) model with validation from three additional ROIs. Emphysema was visually scored. Statistical analysis included univariate analysis (Fisher\u2019s exact and Mann\u2013Whitney <jats:italic>U<\/jats:italic>-tests) and binomial logistic regression to identify confounders.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Lower radiodensity values in MinIP images in the access route, particularly with the BROM-OLB MinIP method, were significantly associated with a higher risk of pneumothorax (5\/39, 13% vs 27\/33, 82%, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01; Sensitivity 81.8% and Specificity 87.2%). Pneumothorax was more common with longer procedures (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). Lower LW density values correlated with higher pulmonary hemorrhage rates (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). Binomial logistic regression identified positive BROM-OLB MinIP results (OR 28.244, 95% CI: 7.675\u2013103.9, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01) and lower LW density (OR 0.992, 95% CI: 0.985\u20130.999, <jats:italic>p<\/jats:italic>\u2009=\u20090.025) as independent risk factors. The optimal threshold values to predict pneumothorax were \u2212868\u2009HU in MinIP images and \u2212769\u2009HU in LW.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>The assessment of MinIP images is superior, and in combination with relative quantitative measurement of radiodensity for access route planning, it can reduce the risk of pneumothorax in CT-guided lung biopsies.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Critical relevance statement<\/jats:title>\n            <jats:p>This article critically evaluates the risk factors for complications in CT-guided lung biopsies, highlighting the potential of MinIP images for predicting pneumothorax risk, thereby advancing clinical radiology practices to improve patient safety and reduce healthcare costs.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Key Points<\/jats:title>\n            <jats:p>\n              <jats:list list-type=\"bullet\">\n                <jats:list-item>\n                  <jats:p>This work investigates if MinIP images efficiently predict CT-guided lung biopsy complications.<\/jats:p>\n                <\/jats:list-item>\n                <jats:list-item>\n                  <jats:p>MinIP imaging identified higher pneumothorax risk post-CT lung biopsy with superior accuracy.<\/jats:p>\n                <\/jats:list-item>\n                <jats:list-item>\n                  <jats:p>Our method detects high-risk lung changes linked to pneumothorax without additional software.<\/jats:p>\n                <\/jats:list-item>\n              <\/jats:list>\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Graphical Abstract<\/jats:title>\n          <\/jats:sec>","DOI":"10.1186\/s13244-024-01890-7","type":"journal-article","created":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T10:34:05Z","timestamp":1736764445000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Enhancing safety in CT-guided lung biopsies: correlation of MinIP imaging with pneumothorax risk prediction"],"prefix":"10.1186","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0552-4850","authenticated-orcid":false,"given":"Michael P.","family":"Br\u00f6nnimann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonie","family":"Manser","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernhard","family":"Gebauer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timo A.","family":"Auer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Schnapauff","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federico","family":"Collettini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"P\u00f6llinger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alois","family":"Komarek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miltiadis E.","family":"Krokidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes T.","family":"Heverhagen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,13]]},"reference":[{"key":"1890_CR1","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.ccm.2012.11.001","volume":"34","author":"J Akulian","year":"2013","unstructured":"Akulian J, Yarmus L, Feller-Kopman D (2013) The evaluation and clinical application of pleural physiology. 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