Sebastian Sanduleanu
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View article: From Bedside to Bot-Side: Artificial Intelligence in Emergency Appendicitis Management
From Bedside to Bot-Side: Artificial Intelligence in Emergency Appendicitis Management Open
Introduction: Acute appendicitis (AA) is a common cause of abdominal pain that can lead to complications like perforation and intra-abdominal abscesses, increasing morbidity and mortality, often requiring emergency surgery. Nevertheless, a…
View article: European guideline informed RAG-based GPT-4 decision support tool in tumor board meetings for breast cancer treatment
European guideline informed RAG-based GPT-4 decision support tool in tumor board meetings for breast cancer treatment Open
View article: The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy
The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy Open
Introduction Patients with pancreatic neuroendocrine neoplasms (P-NEN) may benefit from peptide receptor radionuclide therapy (PRRT). Prediction of overall survival (OS) using statistical models has the potential to guide treatment decisio…
View article: Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis
Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis Open
Background: Nonsurgical treatment of uncomplicated appendicitis is a reasonable option in many cases despite the sparsity of robust, easy access, externally validated, and multimodally informed clinical decision support systems (CDSSs). De…
View article: Investigating the association between osteopenia and bowel perforation through a multicenter radiologic analysis
Investigating the association between osteopenia and bowel perforation through a multicenter radiologic analysis Open
Anecdotal evidence from preliminary observations has noted multiple instances where osteoporosis is present in elderly patients before the clinical detection of bowel disease, even in the absence of overt gastrointestinal symptoms. However…
View article: Feasibility of GPT-3.5 Versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study in Suspected Appendicitis
Feasibility of GPT-3.5 Versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study in Suspected Appendicitis Open
Background: Nonsurgical treatment in uncomplicated appendicitis is in many cases a reasonable option, despite the sparsity of robust, easy access, externally validated and multimodally informed clinical decision support systems (CDSS). Dev…
View article: Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation
Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation Open
Stability analysis remains a fundamental step in developing a successful imaging biomarker to personalize oncological strategies. This study proposes an in silico contour generation method for simulating segmentation variations to identify…
View article: Towards texture accurate slice interpolation of medical images using PixelMiner
Towards texture accurate slice interpolation of medical images using PixelMiner Open
View article: Automated detection and segmentation of non-small cell lung cancer computed tomography images
Automated detection and segmentation of non-small cell lung cancer computed tomography images Open
View article: Development and validation of a computed tomography–based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer
Development and validation of a computed tomography–based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer Open
View article: Radiomics imaging biomarkers from the perspective of tumor biology
Radiomics imaging biomarkers from the perspective of tumor biology Open
This thesis investigated broadly speaking the association between biology-based endpoints and artificial intelligence derived imaging biomarkers. The most important group of biomarkers (also called ‘radiomics signature’) in this thesis der…
View article: Hughes-Stovin syndrome (HSS): current status and future perspectives
Hughes-Stovin syndrome (HSS): current status and future perspectives Open
View article: Towards Texture Accurate Slice Interpolation of Medical Images Using PixelMiner
Towards Texture Accurate Slice Interpolation of Medical Images Using PixelMiner Open
Quantitative analysis models are used for various medical imaging tasks such as registration, classification, object detection, and segmentation which all benefit from high-quality imaging. We propose PixelMiner, a convolution-based deep-l…
View article: Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients
Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients Open
MRI has the potential for predicting the 1p/19q status in LGGs. Both cubic and linear interpolation methods showed similar performance in external validation.
View article: Structural and functional radiomics for lung cancer
Structural and functional radiomics for lung cancer Open
View article: Biomarkers for Hypoxia, HPVness, and Proliferation from Imaging Perspective
Biomarkers for Hypoxia, HPVness, and Proliferation from Imaging Perspective Open
Recent advances in quantitative imaging with handcrafted radiomics and unsupervised deep learning have resulted in a plethora of validated imaging biomarkers in the field of head and neck oncology. Generally speaking, these algorithms are …
View article: Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures Open
View article: Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models
Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models Open
Resistance to chemotherapy often results from dysfunctional apoptosis, however multiple proteins with overlapping functions regulate this pathway. We sought to determine whether an extensively validated, deterministic apoptosis systems mod…
View article: Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study
Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study Open
Background Solid components of part-solid nodules (PSNs) at CT are reflective of invasive adenocarcinoma, but studies describing radiomic features of PSNs and the perinodular region are lacking. Purpose To develop and to validate radiomic …
View article: Exploring imaging features of molecular subtypes of large cell neuroendocrine carcinoma (LCNEC)
Exploring imaging features of molecular subtypes of large cell neuroendocrine carcinoma (LCNEC) Open
View article: Correction: Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy
Correction: Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy Open
The affiliation for the fifteenth author is incorrect. Stefano Cavalieri is not affiliated with #8 but with #9: Fondazione IRCCS Istituto nazionale dei tumori, Head and Neck Medical Oncology Unit, Milan, Italy.
View article: Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy
Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy Open
[This corrects the article DOI: 10.1371/journal.pone.0232639.].
View article: Hypoxia PET Imaging with [18F]-HX4—A Promising Next-Generation Tracer
Hypoxia PET Imaging with [18F]-HX4—A Promising Next-Generation Tracer Open
Hypoxia—a common feature of the majority of solid tumors—is a negative prognostic factor, as it is associated with invasion, metastasis and therapy resistance. To date, a variety of methods are available for the assessment of tumor hypoxia…
View article: [18F]-HX4 PET/CT hypoxia in patients with squamous cell carcinoma of the head and neck treated with chemoradiotherapy: Prognostic results from two prospective trials
[18F]-HX4 PET/CT hypoxia in patients with squamous cell carcinoma of the head and neck treated with chemoradiotherapy: Prognostic results from two prospective trials Open
View article: Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer
Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer Open
View article: Radiomics: from qualitative to quantitative imaging
Radiomics: from qualitative to quantitative imaging Open
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it into valuable predictive outcomes. As a result of advances in both computational h…
View article: Deep learning in fracture detection: a narrative review
Deep learning in fracture detection: a narrative review Open
View article: Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study
Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study Open
View article: Deep learning in fracture detection: a narrative review
Deep learning in fracture detection: a narrative review Open
Artificial intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI, particularly deep learning, has recently made substantial strides in perception tasks allo…
View article: Biological Determinants of Chemo-Radiotherapy Response in HPV-Negative Head and Neck Cancer: A Multicentric External Validation
Biological Determinants of Chemo-Radiotherapy Response in HPV-Negative Head and Neck Cancer: A Multicentric External Validation Open
Purpose: Tumor markers that are related to hypoxia, proliferation, DNA damage repair and stem cell-ness, have a prognostic value in advanced stage HNSCC patients when assessed individually. Here we aimed to evaluate and validate thi…