{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T14:24:56Z","timestamp":1783347896893,"version":"3.54.6"},"reference-count":56,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T00:00:00Z","timestamp":1783123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>Radiomic feature stability is a necessary condition for clinical translation, yet the impact of inter-observer segmentation variability remains insufficiently characterized for [18F]FDG PET\/CT in breast carcinoma. We evaluated the inter-observer reproducibility of 107 original radiomic features extracted from [18F]FDG PET\/CT images of 42 patients with biopsy-proven, treatment-naive primary breast carcinoma, using an IBSI-aligned PyRadiomics workflow. Two nuclear medicine physicians independently segmented each tumor using semi-automatic Otsu thresholding to generate an initial tumor mask, followed by manual correction. Reproducibility was quantified using ICC(A,1) with bootstrap-derived 95% confidence intervals. A two-stage reproducibility and redundancy-based feature reduction strategy, combining an ICC threshold with Spearman correlation-based redundancy removal, was applied across nine threshold combinations, and features were classified into three pre-specified stability categories. The segmentation agreement was good, with a mean Dice coefficient of 0.847. Most features showed excellent reproducibility (81\/107, 75.7% with ICC \u2265 0.90; median ICC 0.972), whereas shape features based on maximum lesion extension showed poor reproducibility (ICC 0.10\u20130.25). The reduction strategy resulted in 19 stable non-redundant features, with eight retained across all threshold combinations; 79 features (73.8%) met high-stability criteria. These results and the proposed stability classification framework provide a methodological basis for future predictive PET radiomics studies in breast carcinoma.<\/jats:p>","DOI":"10.3390\/jimaging12070300","type":"journal-article","created":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T12:01:37Z","timestamp":1783339297000},"page":"300","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Inter-Observer Reproducibility of [18F]FDG PET\/CT Radiomic Features in Primary Breast Carcinoma"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4491-0491","authenticated-orcid":false,"given":"Alexandru","family":"Mitoi","sequence":"first","affiliation":[{"name":"Doctoral Program Studies, University of Medicine and Pharmacy \u201cCarol Davila\u201d, 050474 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5398-3210","authenticated-orcid":false,"given":"Raluca","family":"Mititelu","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, Carol Davila University of Medicine and Pharmacy, 010825 Bucharest, Romania"},{"name":"Clinic of Nuclear Medicine, University Emergency Central Military Hospital \u201cDr. Carol Davila\u201d, 010825 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8341-1769","authenticated-orcid":false,"given":"Cosmin","family":"Medar","sequence":"additional","affiliation":[{"name":"Department of Fundamental Sciences, Faculty of Midwifery and Nursing, University of Medicine and Pharmacy \u201cCarol Davila\u201d, 050474 Bucharest, Romania"},{"name":"Clinical Laboratory of Radiology and Medical Imaging, Clinical Hospital \u201cProf. Dr. Theodor Burghele\u201d, 050664 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vlad Octavian","family":"Bolocan","sequence":"additional","affiliation":[{"name":"Doctoral Program Studies, University of Medicine and Pharmacy \u201cCarol Davila\u201d, 050474 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3355-5048","authenticated-orcid":false,"given":"Constantin","family":"Ciprian","sequence":"additional","affiliation":[{"name":"Department of Diabetes and Nutrition, Medicine Faculty, Titu Maiorescu University, 031593 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7210-0615","authenticated-orcid":false,"given":"Ioan-Nicolae","family":"Mate\u0219","sequence":"additional","affiliation":[{"name":"General and Esophageal Surgery Clinic, \u201cSfanta Maria\u201d Clinical Hospital, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,7,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Smolarz, B., Zadro\u017cna Nowak, A., and Romanowicz, H. 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