Angelo Castello

Dr. Angelo Castello

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2018 in Journal of Urology
Verified
Journal Article
Closed access
Egesta LopciEgesta Lopci
Egesta Lopci
ASAlberto Saita
Alberto Saita
Massimo LazzeriMassimo Lazzeri
Massimo Lazzeri
GLGiovanni Lughezzani
Giovanni Lughezzani
PCPiergiuseppe Colombo
Piergiuseppe Colombo
PCPaolo Casale
Paolo Casale
68Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography may represent the most promising imaging modality to identify and risk stratify prostate cancer in patients with contraindications to or negative multiparametric magnetic resonance imaging. In this prospective observational study we analyzed 68Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography in a select group of patients with persistently elevated prostate specific antigen and/or Prostate Health Index suspicious for prostate cancer, negative digital rectal examination and at least 1 negative biopsy. The cohort comprised men with equivocal multiparametric magnetic resonance imaging (Prostate Imaging-Reporting and Data System, version 2 score of 2 or less), or an absolute or relative contraindication to multiparametric magnetic resonance imaging. Sensitivity, specificity and CIs were calculated compared to histopathology findings. ROC analysis was applied to determine the optimal cutoff values of 68Ga labeled prostate specific membrane antigen uptake to identify clinically significant prostate cancer (Gleason score 7 or greater). A total of 45 patients with a median age of 64 years were referred for 68Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography between January and August 2017. The 25 patients (55.5%) considered to have positive positron emission tomography results underwent software assisted fusion biopsy. We determined the uptake values of regions of interest, including a median maximum standardized uptake value of 5.34 (range 2.25 to 30.41) and a maximum-to-background standardized uptake value ratio of 1.99 (range 1.06 to 14.42). Mean and median uptake values on 68Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography (ie the maximum standardized uptake value or the maximum-to-background standardized uptake value ratio) were significantly higher for Gleason score 7 lesions than for Gleason score 6 or benign lesions (p <0.001). On ROC analysis a maximum standardized uptake value of 5.4 and a maximum-to-background standardized uptake value ratio of 2 discriminated clinically relevant prostate cancer with 100% overall sensitivity in each case, and 76% and 88% specificity, respectively. Our findings support the use of 68Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography for primary detection of prostate cancer in a specific subset of men.

Verified
Journal Article
Open access
PDF file
Luca UrsoLuca Urso
Luca Urso
LMLuigi Manco
Luigi Manco
ACAngelo Castello
Angelo Castello
Laura EvangelistaLaura Evangelista
Laura Evangelista
Gabriele GuidiGabriele Guidi
Gabriele Guidi
Stefano PanareoStefano Panareo
Stefano Panareo
Breast cancer (BC) is a heterogeneous malignancy that still represents the second cause of cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct identification of valuable biomarkers able to predict tumor biology and the best treatment approaches are still far from clear. Although molecular imaging with positron emission tomography/computed tomography (PET/CT) has improved the characterization of BC, these methods are not free from drawbacks. In recent years, radiomics and artificial intelligence (AI) have been playing an important role in the detection of several features normally unseen by the human eye in medical images. The present review provides a summary of the current status of radiomics and AI in different clinical settings of BC. A systematic search of PubMed, Web of Science and Scopus was conducted, including all articles published in English that explored radiomics and AI analyses of PET/CT images in BC. Several studies have demonstrated the potential role of such new features for the staging and prognosis as well as the assessment of biological characteristics. Radiomics and AI features appear to be promising in different clinical settings of BC, although larger prospective trials are needed to confirm and to standardize this evidence.

31 March 2023 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
Luca UrsoLuca Urso
Luca Urso
ANAlberto Nieri
Alberto Nieri
Licia UccelliLicia Uccelli
Licia Uccelli
ACAngelo Castello
Angelo Castello
PAPaolo Artioli
Paolo Artioli
MBMirco Bartolomei
Mirco Bartolomei
Lutathera® is the first EMA- and FDA-approved radiopharmaceutical for radioligand therapy (RLT). Currently, on the legacy of the NETTER1 trial, only adult patients with progressive unresectable somatostatin receptor (SSTR) positive gastroenteropancreatic (GEP) neuroendocrine neoplasms (NET) can be treated with Lutathera®. Conversely, patients with SSTR-positive disease arising from outside the gastroenteric region do not currently have access to Lutathera® treatment despite several papers in the literature reporting the effectiveness and safety of RLT in these settings. Moreover, patients with well-differentiated G3 GEP-NET are also still “Lutathera orphans”, and retreatment with RLT in patients with disease relapse is currently not approved. The aim of this critical review is to summarize current literature evidence assessing the role of Lutathera® outside the approved indications. Moreover, ongoing clinical trials evaluating new possible applications of Lutathera® will be considered and discussed to provide an updated picture of future investigations.

16 August 2017 in European Journal of Nuclear Medicine and Molecular Imaging
Verified
Journal Article
Closed access
PDF file
SRSabrina Rossi
Sabrina Rossi
LTLuca Toschi
Luca Toschi
ACAngelo Castello
Angelo Castello
Fabio GrizziFabio Grizzi
Fabio Grizzi
LMLuigi Mansi
Luigi Mansi
Egesta LopciEgesta Lopci
Egesta Lopci

18 September 2015 in European Journal of Nuclear Medicine and Molecular Imaging
Verified
Journal Article
Closed access
PDF file
YGYoung AIMN Working Group
Young AIMN Working Group
Federico CaobelliFederico Caobelli
Federico Caobelli
Pierpaolo AlongiPierpaolo Alongi
Pierpaolo Alongi
Laura EvangelistaLaura Evangelista
Laura Evangelista
Maria PicchioMaria Picchio
Maria Picchio
Natale QuartuccioNatale Quartuccio
Natale Quartuccio

12 March 2018 in European Journal of Nuclear Medicine and Molecular Imaging
Verified
Journal Article
Closed access
PDF file
Fabio GrizziFabio Grizzi
Fabio Grizzi
ACAngelo Castello
Angelo Castello
Egesta LopciEgesta Lopci
Egesta Lopci