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Unlike meningiomas, SFTs exhibit a myoinositol peak on magnetic resonance spectroscopy (MRS). This study aimed to develop automated classifiers to distinguish SFT from meningioma grades using MRS data from a 26\u2010year patient cohort.<\/jats:p><jats:p>Four classification tasks were performed on short echo (SE), long echo (LE) time, and concatenated SE\u2009+\u2009LE spectra, with datasets split into 80% training and 20% testing sets. Sequential forward feature selection and linear discriminant analysis identified features to distinguish between meningioma Grade 1 (Men\u20101), meningioma grade 2 (Men\u20102), meningioma grade 3 (Men\u20103), and SFT (the 4\u2010class classifier); Men\u20101 from Men\u20102\u2009+\u20093\u2009+\u2009SFT; meningioma (all) from SFT; and Men\u20101 from Men\u20102\u2009+\u20093 and SFT. The best classifier was defined by the smallest balanced error rate (BER) in the testing phase.<\/jats:p><jats:p>A total of 136 SE cases and 149 LE cases were analyzed. The best features in the 4\u2010class classifier were myoinositol and alanine at SE, and myoinositol, glutamate, and glutamine at LE. Myoinositol alone distinguished SFT from meningiomas. Differentiating Men\u20101 from Men\u20102 was not possible with MRS, and combining higher meningioma grades did not improve distinction from Men\u20101. Notably, combining short and long echo times (TE) enhances classification performance, particularly in challenging outlier cases. Furthermore, the robust classifier demonstrates efficacy even when dealing with spectra of suboptimal quality. The resulting classifier is available as Supporting Information of the publication. Extensive documentation is provided, and the software is free and open to all users without a login requirement.<\/jats:p>","DOI":"10.1002\/nbm.70032","type":"journal-article","created":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T21:22:18Z","timestamp":1743888138000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning Analysis of Single\u2010Voxel Proton MR Spectroscopy for Differentiating Solitary Fibrous Tumors and Meningiomas"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4553-292X","authenticated-orcid":false,"given":"Lili\u00a0Fanni","family":"Toth","sequence":"first","affiliation":[{"name":"Departament de Bioqu\u00edmica i Biologia Molecular and Institut de Biotecnologia i Biomedicina (IBB) Universitat Aut\u00f2noma de Barcelona (UAB)  Barcelona Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0468-5150","authenticated-orcid":false,"given":"Carles","family":"Maj\u00f3s","sequence":"additional","affiliation":[{"name":"Grup de Neuro\u2010Oncologia Institut d'Investigaci\u00f3 Biom\u00e8dica de Bellvitge (IDIBELL) Hospital Universitari de Bellvitge  Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red en Bioingenier\u00eda, Biomateriales y Nanomedicina (CIBER\u2010BBN)  Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4167-8291","authenticated-orcid":false,"given":"Albert","family":"Pons\u2010Escoda","sequence":"additional","affiliation":[{"name":"Grup de Neuro\u2010Oncologia Institut d'Investigaci\u00f3 Biom\u00e8dica de Bellvitge (IDIBELL) Hospital Universitari de Bellvitge  Barcelona Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carles","family":"Ar\u00fas","sequence":"additional","affiliation":[{"name":"Departament de Bioqu\u00edmica i Biologia Molecular and Institut de Biotecnologia i Biomedicina (IBB) Universitat Aut\u00f2noma de Barcelona (UAB)  Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red en Bioingenier\u00eda, Biomateriales y Nanomedicina (CIBER\u2010BBN)  Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3316-9027","authenticated-orcid":false,"given":"Margarida","family":"Juli\u00e0\u2010Sap\u00e9","sequence":"additional","affiliation":[{"name":"Departament de Bioqu\u00edmica i Biologia Molecular and Institut de Biotecnologia i Biomedicina (IBB) Universitat Aut\u00f2noma de Barcelona (UAB)  Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red en Bioingenier\u00eda, Biomateriales y Nanomedicina (CIBER\u2010BBN)  Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,4,5]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A7462"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00401\u2010016\u20101545\u20101"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097\u20100142(19980515)82:10<1915::AID\u2010CNCR15>3.0.CO;2\u2010W"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.342130075"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radcr.2023.02.064"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radcr.2021.04.008"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clineuro.2015.08.005"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.3171\/jns.2001.94.1.0055"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.wneu.2019.06.094"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13244\u2010013\u20100302\u20104"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2006.09.012"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00234\u2010002\u20100933\u20105"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2023.1137849"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.3171\/jns.2006.105.1.6"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.25259\/SNI_5_2020"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.1053089"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.4102\/sajr.v26i1.2480"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010022\u201007859\u20100"},{"key":"e_1_2_10_20_1","unstructured":"LCModel's Home Page. 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