Lidija Antunovic

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专科:

核医学

职业:

核医学科医生

医疗机构:

核医学科 @ 圣拉斐尔科学研究医院

语言:

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个人简介

Lidija Antunovic医生是米兰IRCCS San Raffaele医院核医学科的核医学专家，由Arturo Chiti教授领导。

2004年，她在帕多瓦大学医学院获得医学与外科学学位。2010年，她在同一大学完成了核医学专业培训。2019年，她在Hunimed完成了临床流行病学高级课程。

她的临床活动专注于利用传统核医学方法进行诊断，特别关注炎症性疾病和感染，以及PET/CT和PET/MRI技术。在肿瘤和非肿瘤研究中，她使用多种PET放射性药物：18F-FDG、11C-胆碱、11C-甲硫氨酸、68Ga-Dotatoc、18F-FET、18F-DOPA、18F-氟化物、124I-Na、18F-PSMA、68Ga-PSMA。

她为患有甲状腺良性和恶性疾病、前列腺癌和神经内分泌肿瘤的患者提供门诊服务。她还进行甲状腺功能亢进症的放射代谢治疗（门诊）、住院放射代谢治疗（甲状腺、前列腺、神经内分泌肿瘤）以及骨转移放射代谢治疗（前列腺癌和乳腺癌）。

她的研究活动集中在肺部和乳腺肿瘤。她利用人工智能算法进行先进的图像分析，参与骨骼感染研究项目，并且是欧洲核医学协会（EANM）骨与关节委员会的成员。

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出版物

最新出版物

The Relationship among Bowel [18]F-FDG PET Uptake, Pathological Complete Response, and Eating Habits in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy

Tiberio P, Antunovic L, Gaudio M, Viganò A, Pastore M, Miggiano C, Jacobs F, Benvenuti C, Farina E, Chiti A, Santoro A, De Sanctis R.

Blood pool phase SPECT: the missing link of bone scintigraphy

Morland D, Antunovic L.

[18F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis

Online ahead of print. Antunovic L, Artesani A, Coniglio M, Oyen WJG, Ciccarelli M, Selmi C, Chiti A, Sollini M.

Preoperative [11C]methionine PET to personalize treatment decisions in patients with lower-grade gliomas

Ninatti G, Sollini M, Bono B, Gozzi N, Fedorov D, Antunovic L, Gelardi F, Navarria P, Politi LS, Pessina F, Chiti A.

EANM Bone & Joint Committee, the Dosimetry Committee, the Oncology & Theranostics Committee.The EANM guideline for radiosynoviorthesis

Kampen WU, Boddenberg-Pätzold B, Fischer M, Gabriel M, Klett R, Konijnenberg M, Kresnik E, Lellouche H, Paycha F, Terslev L, Turkmen C, van der Zant F, Antunovic L, Panagiotidis E, Gnanasegaran G, Kuwert T, Van den Wyngaert T;

PET/CT radiomics in breast cancer: Mind the step

Sollini M, Cozzi L, Ninatti G, Antunovic L, Cavinato L, Chiti A, Kirienko M.

PSMA expression level predicts differentiated thyroid cancer aggressiveness and patient outcome

Sollini M, di Tommaso L, Kirienko M, Piombo C, Erreni M, Lania AG, Erba PA, Antunovic L, Chiti A.

Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics

Sollini M, Antunovic L, Chiti A, Kirienko M.

[18F]FDG PET/CT in non-union: improving the diagnostic performances by using both PET and CT criteria

Sollini M, Trenti N, Malagoli E, Catalano M, Di Mento L, Kirienko A, Berlusconi M, Chiti A, Antunovic L.

PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy

Antunovic L, De Sanctis R, Cozzi L, Kirienko M, Sagona A, Torrisi R, Tinterri C, Santoro A, Chiti A, Zelic R, Sollini M.

Convolutional Neural Networks Promising in Lung Cancer T-Parameter Assessment on Baseline FDG-PET/CT

Kirienko M, Sollini M, Silvestri G, Mognetti S, Voulaz E, Antunovic L, Rossi A, Antiga L, Chiti A.

Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions

Kirienko M, Cozzi L, ; Rossi A, Voulaz E, Antunovic L, Fogliata A, Chiti A, Sollini M.

Liver metastases from prostate cancer at 11C-Choline PET/CT: a multicenter, retrospective analysis

Ghedini P, Bossert I, Zanoni L, Ceci F, Graziani T, Castellucci P, Ambrosini V, Massari F, Nobili E, Melotti B, Musto A, Zoboli S, Antunovic L, Kirienko M, Chiti A, Mosconi C, Ardizzoni A, Golfieri R, Fanti S, Nanni C.

Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery

Eur J Nucl Med Mol Imaging. 2017 Sep 24. doi: 10.1007/s00259-017-3837-7.

Kirienko M, Cozzi L, Antunovic L, Lozza L, Fogliata A, Voulaz E, Rossi A, Chiti A, Sollini M.

[18F]FDG PET/CT features for the molecular characterisation of primary breast tumours

Eur J Nucl Med Mol Imaging. 2017;44:1945-1954. (DOI 10.1007/s00259-017-3770-9).

Antunovic L, Gallivanone F, Sollini M, Sagona A, Manfrinato G, Invento A, Kirienko M, Tinterri C, Chiti A, Castiglioni I.

PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology

Sci Rep. 2017;23;7:358. (DOI: 10.1038/s41598-017-00426-y)

Sollini M, Cozzi L, Antunovic L, Chiti A, Kirienko M.

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