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This study evaluates dopamine transporter (DAT) 123I-Ioflupane brain SPECT, comparing semi-quantitative software outputs from DaTQUANT® and BasGanV2™ combined with supervised machine learning. Retrospective analysis of 169 scans (133 PD, 36 ET) trains and validates classification models while handling class imbalance using SMOTE, showing consistently higher diagnostic accuracy with DaTQUANT®.","See discussions, stats, and author profiles for this publication at: [https://www. researchgate. net/publication/395976875](https://www. researchgate. net/publication/395976875)  \nDiagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123I-Ioflupane Brain SPECT: A Machine Learning-Based Differentiation of Parkinson’s Disease and Essential Tremor  \nArticle in Biomedicines · September 2025 DOI: 10.3390/biomedicines13102367  \nCITATIONS 0  \nREADS 15  \n10 authors, including:  \nBarbara Palumbo  \nUniversity of Perugia  \n154 PUBLICATIONS 2,858 CITATIONS  \nLuca Filippi  \nUniversity of Rome Tor Vergata 245 PUBLICATIONS 2,834 CITATIONS  \nAndrea Marongiu  \nUniversity of Sassari  \n33 PUBLICATIONS 128 CITATIONS  \nFrancesco Bianconi  \nUniversity of Perugia  \n134 PUBLICATIONS 3,580 CITATIONS  \nAll content following this page was uploaded by Luca Filippi on 30 September 2025. The user has requested enhancement of the downloaded file.  \nArticle  \nDiagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123 I-Ioflupane Brain SPECT: A Machine Learning-Based Differentiation of Parkinson’s Disease and Essential Tremor  \nBarbara Palumbo 1,2,*, Luca Filippi 3,4, *, Andrea Marongiu 5, Francesco Bianconi 6, Mario Luca Fravolini 6, Roberta Danieli 4,7, Viviana Frantellizzi 8, Giuseppe De Vincentis 8, Angela Spanu 5 and Susanna Nuvoli 5  \nAcademic Editor: Wenliang Fan  \nReceived: 29 August 2025  \nRevised: 21 September 2025  \nAccepted: 25 September 2025  \nPublished: 27 September 2025  \nCitation: Palumbo, B.; Filippi, L.; Marongiu, A.; Bianconi, F.; Fravolini, M.L.; Danieli, R.; Frantellizzi, V.; De Vincentis, G.; Spanu, A.; Nuvoli, S. Diagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123I-Ioflupane BrainSPECT: A Machine LearningBased Differentiation of Parkinson’s Disease and Essential Tremor.  \nBiomedicines 2025, 13, 2367 . [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)biomedicines13102367  \nCopyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://creativecommons.org/](https://creativecommons.org/)[ ](https://creativecommons.org/)[licenses/by/4.0/](licenses/by/4.0/)) .  \n1 Section of Nuclear Medicine and Health Physics, Department of Medicine and Surgery, Università degli Studidi Perugia, Piazza Lucio Severi 1, 06132 Perugia, Italy  \n2 Nuclear Medicine Division, Azienda Ospedaliera di Perugia, S. Andrea delle Fratte, 06156 Perugia, Italy  \n3 Department of Biomedicine and Prevention, University of Rome ‘Tor Vergata’, Via Montpellier 1,  \n00133 Rome, Italy  \n4 Nuclear Medicine Research Unit, IRCCS San Raffaele Roma, Via della Pisana 235, 00163 Rome, Italy; [roberta.danieli@uniroma5.it](roberta.danieli@uniroma5.it)  \n5 Unit of Nuclear Medicine, Department of Medicine, Surgery and Pharmacy, University of Sassari, Viale San Pietro 8, 07100 Sassari, Italy; [amarongiu2@uniss.it](amarongiu2@uniss.it) (A.M.); [aspanu@uniss.it](aspanu@uniss.it) (A.S.); [smfnuvoli@uniss.it](smfnuvoli@uniss.it) (S.N.)  \n6 Department of Engineering, Università degli Studi di Perugia, Via Goffredo Duranti 93, 06125 Perugia, Italy; [francesco.bianconi@unipg.it](francesco.bianconi@unipg.it) (F.B.); [mario.fravolini@unipg.it](mario.fravolini@unipg.it) (M.L.F.)  \n7 Department of Human Sciences and Promotion of the Quality of Life, University San Raffaele, Via di Val Cannuta 247, 00166 Rome, Italy  \n8 Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, 00161 Rome, Italy; [viviana.frantellizzi@uniroma1.it](viviana.frantellizzi@uniroma1.it) (V.F.); [giuseppe.devincentis@uniroma1.it](giuseppe.devincentis@uniroma1.it) (G.D.V.)  \n* [Correspondence: barbara.palumbo@unipg.it](Correspondence: barbara.palumbo@unipg.it) (B.P.); [luca.filippi@uniroma2.it](luca.filippi@uniroma2.it) (L.F.)  \nAbstract  \nBackground: Differentiating Parkinson’s disease (PD) from essentia","cbCaivTlhTIQX6eU","https://ap.wps.com/l/cbCaivTlhTIQX6eU","pdf",2054654,2,1,12,"English","en",105,"# Abstract\n# Introduction\n# Methods\n## Study design and dataset\n## Semi-quantitative analysis tools\n## Machine learning models and validation\n## Class imbalance handling\n# Results\n# Conclusions","[{\"question\":\"Why is PD vs ET differentiation difficult, and how does DAT SPECT help?\",\"answer\":\"PD and essential tremor can overlap clinically, especially early or atypical cases. DAT single-photon emission computed tomography with 123I-Ioflupane provides supportive objective measures for diagnosis.\"},{\"question\":\"What data and semi-quantitative tools were used to compare DaTQUANT® and BasGanV2™?\",\"answer\":\"The study retrospectively analyzed 169 patients’ 123I-Ioflupane SPECT scans (133 PD, 36 ET). Semi-quantitative measures were obtained using DaTQUANT® v2.0 and BasGanV2™ v2.\"},{\"question\":\"What were the main findings on diagnostic accuracy and model performance?\",\"answer\":\"Machine learning classifiers reliably distinguished PD from ET, and DaTQUANT® achieved higher accuracy than BasGanV2™ across tested models. Sensitivity and specificity were also consistently higher for DaTQUANT®.\"}]","Diagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123I-Ioflupane Brain SPECT - A Machine Learning-Based Differentiation of Parkinson’s Disease and Essential Tremor | PDF",1785946652,30,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"diagnostic-accuracy-of-datquant-versus-basganv2-for-123i-ioflupane-brain-spect-a-machine-learning-based-differentiation-of-parkinsons-disease-and-essential-tremor","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,48,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":20},"https://docshare.wps.com/document/","Document",{"item":49,"name":12,"@type":44,"position":50},"https://docshare.wps.com/document/healthcare/",3,{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/diagnostic-accuracy-of-datquant-versus-basganv2-for-123i-ioflupane-brain-spect-a-machine-learning-based-differentiation-of-parkinsons-disease-and-essential-tremor/128293/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-25","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Why is PD vs ET differentiation difficult, and how does DAT SPECT help?","Question",{"text":76,"@type":77},"PD and essential tremor can overlap clinically, especially early or atypical cases. DAT single-photon emission computed tomography with 123I-Ioflupane provides supportive objective measures for diagnosis.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What data and semi-quantitative tools were used to compare DaTQUANT® and BasGanV2™?",{"text":81,"@type":77},"The study retrospectively analyzed 169 patients’ 123I-Ioflupane SPECT scans (133 PD, 36 ET). Semi-quantitative measures were obtained using DaTQUANT® v2.0 and BasGanV2™ v2.",{"name":83,"@type":74,"acceptedAnswer":84},"What were the main findings on diagnostic accuracy and model performance?",{"text":85,"@type":77},"Machine learning classifiers reliably distinguished PD from ET, and DaTQUANT® achieved higher accuracy than BasGanV2™ across tested models. Sensitivity and specificity were also consistently higher for DaTQUANT®.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,119,123,128,131,135],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":117,"slug":118},40,"healthcare",{"id":120,"doc_module":4,"doc_module_name":47,"category_name":121,"show_sort_weight":30,"slug":122},8,"Research & Report","research-report",{"id":124,"doc_module":4,"doc_module_name":47,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":47,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":47,"category_name":137,"show_sort_weight":107,"slug":138},19,"General","general"]