Marco Bologna
Polytechnic University of Milan
Imaging phantomImage segmentationInternal medicineRadiologyLumen (anatomy)Biomedical engineeringMagnetic resonance imagingOncologyArtificial intelligenceComputational fluid dynamicsTomographyPattern recognitionInduction chemotherapyHead and neck squamous-cell carcinomaRadiomicsStentCoronary arteriesOptical coherence tomographyAngiographySinonasal cancerOverall survivalMathematicsStability (probability)Computer scienceEffective diffusion coefficientMedicineSegmentation
32Publications
6H-index
121Citations
Publications 32
Newest
#1Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
#2Marco Bologna (Polytechnic University of Milan)H-Index: 6
Last. Paolo Bossi (University of Brescia)H-Index: 39
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Baseline clinical prognostic factors for recurrent and/or metastatic (RM) head and neck squamous cell carcinoma (HNSCC) treated with immunotherapy are lacking. CT-based radiomics may provide additional prognostic information. A total of 85 patients with RM-HNSCC were enrolled for this study. For each tumor, radiomic features were extracted from the segmentation of the largest tumor mass. A pipeline including different feature selection steps was used to train a radiomic signature prognostic for ...
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#1Salvatore AlfieriH-Index: 14
Last. Lisa Licitra (University of Milan)H-Index: 67
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To identify and validate baseline magnetic resonance imaging (b-MRI) radiomic features (RFs) as predictors of disease outcomes in effectively cured head and neck squamous cell carcinoma (HNSCC) pat...
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#1Claudia CavatortaH-Index: 4
#2S. MeroniH-Index: 3
Last. Lorenza GandolaH-Index: 1
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PURPOSE To study a robust and reproducible procedure to investigate a relation between focal brain radiotherapy (RT) low doses, neurocognitive impairment and late White Matter and Gray Matter alterations, as shown by Diffusion Tensor Imaging (DTI), in children. METHODS AND MATERIALS Forty-five patients (23 males and 22 females, median age at RT 6.2 years, median age at evaluations 11.1 years) who had received focal RT for brain tumors were recruited for DTI exams and neurocognitive tests. Patien...
1 CitationsSource
Background Despite advances in treatments, 30% to 50% of stage III-IV head and neck squamous cell carcinoma (HNSCC) patients relapse within 2 years after treatment. The Big Data to Decide (BD2Decide) project aimed to build a database for prognostic prediction modeling. Methods Stage III-IV HNSCC patients with locoregionally advanced HNSCC treated with curative intent (1537) were included. Whole transcriptomics and radiomics analyses were performed using pretreatment tumor samples and computed to...
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#1Giulio Russo (UCSC: Catholic University of the Sacred Heart)H-Index: 11
#2Daniela Pedicino (UCSC: Catholic University of the Sacred Heart)H-Index: 13
Last. F. Crea (UCSC: Catholic University of the Sacred Heart)H-Index: 16
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#1E. OrlandiH-Index: 3
#2Giuseppina CalaresoH-Index: 14
Last. Marco BolognaH-Index: 6
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#1Wei Wu (UNMC: University of Nebraska Medical Center)H-Index: 1
#1Wei Wu (UNMC: University of Nebraska Medical Center)H-Index: 61
Last. Yiannis S. Chatzizisis (UNMC: University of Nebraska Medical Center)H-Index: 36
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The three-dimensional (3D) representation of the bifurcation anatomy and disease burden is essential for better understanding of the anatomical complexity of bifurcation disease and planning of stenting strategies. We propose a novel methodology for 3D reconstruction of coronary artery bifurcations based on the integration of angiography, which provides the backbone of the bifurcation, with optical coherence tomography (OCT), which provides the vessel shape. Our methodology introduces several te...
1 CitationsSource
#1Marco Bologna (Polytechnic University of Milan)H-Index: 6
#2Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
Last. Ester OrlandiH-Index: 22
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Advanced stage nasopharyngeal cancer (NPC) shows highly variable treatment outcomes, suggesting the need for independent prognostic factors. This study aims at developing a magnetic resonance imaging (MRI)-based radiomic signature as a prognostic marker for different clinical endpoints in NPC patients from non-endemic areas. A total 136 patients with advanced NPC and available MRI imaging (T1-weighted and T2-weighted) were selected. For each patient, 2144 radiomic features were extracted from th...
1 CitationsSource
Jul 1, 2020 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Marco Bologna (Polytechnic University of Milan)H-Index: 6
#2Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
Last. Luca T. Mainardi (Polytechnic University of Milan)H-Index: 36
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The purpose of this study was to establish a methodology and technology for the development of an MRI-based radiomic signature for prognosis of overall survival (OS) in nasopharyngeal cancer from non-endemic areas. The signature was trained using 1072 features extracted from the main tumor in T1-weighted and T2-weighted images of 142 patients. A model with 2 radiomic features was obtained (RAD model). Tumor volume and a signature obtained by training the model on permuted survival data (RADperm ...
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