Andrea Laghi

Andrea Laghi
Sapienza University of Rome | la sapienza · Department of Surgical and Medical Sciences and Translational Medicine

Full Professor of Radiology

About

737
Publications
101,018
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19,917
Citations
Additional affiliations
September 2017 - November 2017
Sapienza University of Rome
Position
  • Professor
November 1996 - November 2004
Umberto I Policlinico di Roma
Position
  • Researcher
January 2007 - present

Publications

Publications (737)
Article
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Cholangiocarcinoma (CCA) is a malignant biliary system tumor and the second most common primary hepatic neoplasm, following hepatocellular carcinoma. CCA still has an extremely high unfavorable prognosis, regardless of type and location, and complete surgical resection remains the only curative therapeutic option; however, due to the underhanded on...
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Objectives: To evaluate liver enhancement and image quality of abdominal CECT examinations acquired with multiple LBW-based contrast medium injection protocols. Material & methods: One hundred fifty patients who underwent a clinically indicated CECT examination were prospectively and randomly assigned to one of the following contrast medium inje...
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To evaluate a radiomic strategy for predicting progression in advanced gastroenteropancreatic neuroendocrine tumor (GEP‐NET) patients treated with somatostatin analogs (SSAs). Fifty‐eight patients with GEP‐NETs and liver metastases, with baseline computerized tomography (CT) scans from June 2013 to November 2020, were studied retrospectively. Data...
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Cardiovascular magnetic resonance (CMR) is gaining ground in guiding electrophysiology (EP)-based ablation procedures of typical atrial flutter and atrial fibrillation, allowing for the avoidance of radiation exposure for patients and operators and reducing the risk of occupational illnesses. CMR allows comprehensive assessment of cardiac anatomy a...
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Management of peritoneal surface malignancies is currently entrusted to a multimodality approach. Computed tomography (CT) scan remains the first imaging method despite the limitations in identifying small implants in critical regions. Magnetic resonance imaging is usually recommended for its performance in small implants, mesentery, and small bowe...
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Purpose This study aims to evaluate the feasibility of using electron density (ED) maps combined with Z-effective images obtained from unenhanced dual-layer Dual Energy CT (dl-DECT) scans of the chest for the detection of pulmonary embolism (PE). Materials and Methods A retrospective analysis was conducted on consecutive patients who underwent for...
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Introduction: Primary bone lymphoma (PBL) is a rare clinical entity, accounting for less than 5% of all extranodal non-Hodgkin lymphomas and approximately 5% of primary bone tumors. Diffuse large B-cell lymphoma (DLBCL) is the most common histotype, accounting for about 80% of all PBL cases. Conversely, the incidence of indolent primary bone lympho...
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Objective To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed utilizing high-strength deep learning image reconstructions (DLIR-H) compared to standard adaptive statistical iterative reconstruction (ASiR-V) protocol in non-obese patients. Materials and methods From June to October 2022, consecutive patients, un...
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Purpose To measure K tran s and correlate it with Gleason score (GS) and PI-RADS score in patients with prostate cancer. Methods This retrospective study included patients with pathologically proven prostate cancer who had undergone clinically indicated 1.5 Tesla multi-parametric magnetic resonance imaging (MRI) examination between February and De...
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Purpose Transcatheter aortic valve implantation (TAVI) has risen as a non-invasive alternative for treatment of severe symptomatic aortic stenosis in patients with high surgical risk. Multimodality imaging approach and a complementary evaluation including the clinical judgment of the heart team are mandatory. Echocardiography serves as a first-line...
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Background Radiomics is not yet used in clinical practice due to concerns regarding its susceptibility to technical factors. We aimed to assess the stability and interscan and interreader reproducibility of myocardial radiomic features between energy-integrating detector computed tomography (EID-CT) and photon-counting detector CT (PCD-CT) in patie...
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Simple Summary Oesogastric cancers are often diagnosed at a locally advanced stage, especially in western countries. Thus, their prognosis is highly influenced by correct staging and response rate to preoperative therapy. Radiomics may offer a promising tool for improving the quality of current diagnostics of these tumors. Radiomic predictive model...
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Background: Neuroendocrine neoplasms (NENs) are slow-growing tumors. Sarcopenia is defined as the loss of muscle mass, strength, and physical performance. First-line NEN therapy is somatostatin analogs, which could be responsible for malabsorption conditions, such as pancreatic exocrine insufficiency (EPI) with underlying sarcopenia. Aim: Evaluate...
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Colorectal cancer (CRC) is a significant global health concern. Diagnostic imaging, using different modalities, has a pivotal role in CRC, from early detection (i.e., screening) to follow-up. The role of imaging in CRC screening depends on each country’s approach: if an organized screening program is in place, the role of CT colonography (CTC) is l...
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Magnetic resonance elastography (MRE) is an imaging technique that combines low-frequency mechanical vibrations with magnetic resonance imaging to create visual maps and quantify liver parenchyma stiffness. As in recent years, diffuse liver diseases have become highly prevalent worldwide and could lead to a chronic condition with different stages o...
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Simple Summary Lymph node (LN) involvement is one of the most important prognostic factors for patients with colon cancer (CC). CT morphological analysis is not a reliable method to assess nodal status. Thus, the aim of this study was to assess the potential added value of radiomic features extracted from contrast-enhanced computed tomography (CECT...
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The CT Colonography Reporting and Data System (C-RADS) has withstood the test of time and proven to be a robust classification scheme for CT colonography (CTC) findings. C-RADS version 2023 represents an update on the scheme used for colorectal and extracolonic findings at CTC. The update provides useful insights gained since the implementation of...
Chapter
Colorectal cancer represents the most common malignant neoplasm of the gastrointestinal (GI) tract; according to GLOBOCAN 2020, it represents the third most prevalent cancer in general population, following breast and lung cancer [1]. On the other side, despite the small bowel constitutes about the 75% of the digestive tract’s length, malignant neo...
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Objectives To present the results of a survey on the assessment of treatment response with imaging in oncologic patient, in routine clinical practice. The survey was promoted by the European Society of Oncologic Imaging to gather information for the development of reporting models and recommendations. Methods The survey was launched on the Europea...
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Background and Objective In recent years, there has been a large-scale dissemination of guidelines in radiology in the form of Reporting & Data Systems (RADS). The use of iodinated contrast media (ICM) has a fundamental role in enhancing the diagnostic capabilities of computed tomography (CT) but poses certain risks. The scope of the present review...
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Objectives: To perform a comprehensive within-subject image quality analysis of abdominal CT examinations reconstructed with DLIR and to evaluate diagnostic accuracy compared to the routinely applied adaptive statistical iterative reconstruction (ASiR-V) algorithm. Materials and methods: Oncologic patients were prospectively enrolled and underwe...
Article
Background: Magnetic resonance imaging is increasingly used to assess treatment response in Crohn's disease clinical trials. We aimed to describe the definition of MRI response and remission as assessed by magnetic resonance enterography (MRE) to evaluate treatment efficacy in these patients. Methods: Electronic databases were searched up to 1 s...
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Objective The objective of this study is to prospectively compare quantitative and subjective image quality, scanning time, and diagnostic confidence between a new deep learning-based reconstruction(DLR) algorithm and standard MRI protocol of lumbar spine. Materials and methods Eighty healthy volunteers underwent 1.5T MRI examination of lumbar spi...
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Radiomics is a new emerging field that includes extraction of metrics and quantification of so-called radiomic features from medical images. The growing importance of radiomics applied to oncology in improving diagnosis, cancer staging and grading, and improved personalized treatment, has been well established; yet, this new analysis technique has...
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Peritoneal carcinosis is a condition characterized by the spread of cancer cells to the peritoneum, which is the thin membrane that lines the abdominal cavity. It is a serious condition that can result from many different types of cancer, including ovarian, colon, stomach, pancreatic, and appendix cancer. The diagnosis and quantification of lesions...
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Objective: The aim of this study is to describe the technique and to report early results of thoraco-abdominal biopsies in the Interventional Magnetic Resonance Imaging Suite (IMRIS). Materials and methods: We prospectively evaluated patients with indications for MRI-guided biopsy between January 2021 and May 2022. Exclusion criteria were indica...
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The term Explainable Artificial Intelligence (xAI) groups together the scientific body of knowledge developed while searching for methods to explain the inner logic behind the AI algorithm and the model inference based on knowledge-based interpretability. The xAI is now generally recognized as a core area of AI. A variety of xAI methods currently a...
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Giardia lamblia is a known etiological factor of a common infectious diarrhea. In rare cases, this parasite was found to be involved in the development of pancreatic and biliary tract diseases, both inflammatory and neoplastic. We present a case of a 64-year-old man known for a duodenal duplication cyst since 2013, with episodes of recurrent acute...
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Background: preoperative risk assessment of gastrointestinal stromal tumors (GISTS) is required for optimal and personalized treatment planning. Radiomics features are promising tools to predict risk assessment. The purpose of this study is to develop and validate an artificial intelligence classification algorithm, based on CT features, to define...
Chapter
All organs and physiological processes of the human organism, including gastrointestinal system, are affected by aging (Rémond et al., Oncotarget 6(16):13858–13898, 2015). Effect of aging of gastrointestinal system includes a reduction in sensory perceptions, salivation, oral health, the absorption of nutrients, and lactose tolerance. Although many...
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Purpose: To perform a comprehensive intraindividual objective and subjective image quality evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image reconstruction (DLIR) and to assess correlation with routinely applied hybrid iterative reconstruction algorithm (ASiR-V). Material and methods: Fifty-one patients (29 male...
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Neuroendocrine neoplasms (NEN) of the small bowel are typically slow growing lesions that remain asymptomatic until reaching an advanced stage. Imaging modalities for lesion detection, staging, and follow-up in patients with known or suspected NEN include CT enterography (CTE), MR enterography (MRE), as well as PET/CT using a somatostatin receptor...
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Imaging biomarkers are the expression of quantitative imaging and have become central in the management of cancers, proving consistent and objective information to outline an appropriate workflow for oncologic patients [...]
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Objective To evaluate if an adequate bowel preparation for CT colonography, can be achieved without diet restriction, using a reduced amount of cathartic agent and fecal tagging. To investigate the influence of patients’ characteristics on bowel preparation and the impact on patients’ compliance. Methods In total, 1446 outpatients scheduled for el...
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Colorectal cancer still represents the third most frequent cancer in the world; around one-third of cancers are located in the rectum, with important differences in terms of diagnosis, treatment management, and survival compared to colon cancer [...]
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In recent years, radiomics has been among the most impactful topics in the research field of quantitative imaging. [...]
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Image reconstruction processing in computed tomography (CT) has evolved tremendously since its creation, succeeding at optimizing radiation dose while maintaining adequate image quality. Computed tomography vendors have developed and implemented various technical advances, such as automatic noise reduction filters, automatic exposure control, and r...
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Diffuse liver diseases are highly prevalent conditions around the world, including pathological liver changes that occur when hepatocytes are damaged and liver function declines, often leading to a chronic condition. In the last years, Magnetic Resonance Imaging (MRI) is reaching an important role in the study of diffuse liver diseases moving from...
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Pancreatic neuroendocrine neoplasms (panNENs) are part of a large family of tumors arising from the neuroendocrine system. PanNENs show low–intermediate tumor grade and generally high somatostatin receptor (SSTR) expression. Therefore, panNENs benefit from functional imaging with 68Ga-somatostatin analogues (SSA) for diagnosis, staging, and treatme...
Chapter
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Imaging techniques play a crucial role in the diagnosis, staging, surveillance and assessment of the treatment response of hepatocellular carcinoma (HCC). An increasingly pivotal role is currently played by computed tomography and magnetic resonance imaging, which can simultaneously provide a conclusive diagnosis without the need for histological c...
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Adrenal lesions are frequently incidentally diagnosed during investigations for other clinical conditions. Despite being usually benign, nonfunctioning, and silent, they can occasionally cause discomfort or be responsible for various clinical conditions due to hormonal dysregulation; therefore, their characterization is of paramount importance for...
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Purpose To compare liver MRI with AIR Recon Deep Learning™(ARDL) algorithm applied and turned-off (NON-DL) with conventional high-resolution acquisition (NAÏVE) sequences, in terms of quantitative and qualitative image analysis and scanning time. Material and methods This prospective study included fifty consecutive volunteers (31 female, mean age...
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Background Treatment monitoring in metastatic colorectal cancer (mCRC) relies on imaging to evaluate the tumor burden. Response Evaluation Criteria in Solid Tumors (RECIST) provide a framework on reporting and interpretation of imaging findings yet offer no guidance on a standardized imaging protocol tailored to mCRC patients. Imaging protocol hete...
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Objectives To explore radiologists’ opinions regarding the shift from in-person oncologic multidisciplinary team meetings (MDTMs) to online MDTMs. To assess the perceived impact of online MDTMs, and to evaluate clinical and technical aspects of online meetings.Methods An online questionnaire including 24 questions was e-mailed to all European Socie...
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Background: To evaluate the diagnostic performance of a Machine Learning (ML) algorithm based on Texture Analysis (TA) parameters in the prediction of Pathological Complete Response (pCR) to Neoadjuvant Chemoradiotherapy (nChRT) in Locally Advanced Rectal Cancer (LARC) patients. Methods: LARC patients were prospectively enrolled to undergo pre- and...
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Background: to assess the performance and speed of two commercially available advanced cardiac software packages in the automated identification of coronary vessels as an aiding tool for inexperienced readers. Methods: Hundred and sixty patients undergoing coronary CT angiography (CCTA) were prospectively enrolled from February until September 2...
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The study was aimed to develop a radiomic model able to identify high-risk colon cancer by analyzing pre-operative CT scans. The study population comprised 148 patients: 108 with non-metastatic colon cancer were retrospectively enrolled from January 2015 to June 2020, and 40 patients were used as the external validation cohort. The population was d...
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The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance disease diagnosis and management and facilitate the creation of new therapeutics is gaining popularity. Given the vast amount of data collected during cancer therapy, there is significant concern in leveraging the algorithms and technologies available with th...
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Aim To test radiomic approach in patients with metastatic neuroendocrine tumors (NETs) treated with Everolimus, with the aim to predict progression-free survival (PFS) and death. Materials and methods Twenty-five patients with metastatic neuroendocrine tumors, 15/25 pancreatic (60%), 9/25 ileal (36%), 1/25 lung (4%), were retrospectively enrolled...
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New radioimaging techniques, exploiting the quantitative variables of imaging, permit to identify an hypothetical pathological tissue. We have applied this potential in a series of 72 adrenal incidentalomas (AIs) followed at our center, subdivided in functioning and non-functioning using laboratory findings. Each AI was studied in the preliminary n...
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Introduction Multiple gastrointestinal stromal tumors (GISTs) are rare tumors. Differential diagnosis between metastatic and multiple GISTs represents a challenge for a proper workup, prediction prognosis, and therapeutic strategy. Case presentation We present the case of 67-year-old man with computed tomography (CT) evidence of multiple exophytic...
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Purpose The absolute benefit of adjuvant chemotherapy in stage II CRC is only 3–4%. The identification of biomarkers through molecular profiling could identify patients who will more benefit from adjuvant chemotherapy. Patients and Methods This retrospective analysis examined tissue blocks from 17 patients affected by relapsed stage II CRC, whose...
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Objectives To analyze the response in the management of both radiological emergencies and continuity of care in oncologic/fragile patients of a radiology department of Sant’Andrea Academic Hospital in Rome supported by a dedicated business analytics software during the COVID-19 pandemic. Methods Imaging volumes and workflows for 2019 and 2020 were...
Chapter
Artificial intelligence (AI) is transforming the world we live in, including medical imaging. One of the most exciting fields of research is the implementation of such technology in CT examinations. AI is emerging as a valuable tool in imaging reconstruction, currently competing with iterative reconstruction in the task of improving image quality a...
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In many low-income countries, the poor availability of lung biopsy leads to delayed diagnosis of lung cancer (LC), which can appear radiologically similar to tuberculosis (TB). To assess the ability of CT Radiomics in differentiating between TB and LC, and to evaluate the potential predictive role of clinical parameters, from March 2020 to Septembe...
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The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year long, EU-funded project tackling some of the most ambitious research in the fields of biomedical imagi...
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Purpose Lung severity score (LSS) and quantitative chest CT (QCCT) analysis could have a relevant impact to stratify patients affected by COVID-19 pneumonia at the hospital admission. The study aims to assess LSS and QCCT performances in severity stratification of COVID-19 patients. Materials and methods From April 19, 2020, until May 3, 2020, pat...
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PurposeEvaluation of male with primary bladder neck obstruction (PBNO) using MRI and MR voiding cystourethrography (MR-VCU) to study both anatomical aspects of bladder neck and urethral lumen.Methods In this retrospective study 21 male patients (mean age 33 ± 14) with urodynamic diagnosis of PBNO and 5 healthy volunteers ((mean age 28 ± 2) as contr...
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Purpose: Aim of the study was to perform CT texture analysis in patients with gastric cancer (GC) to investigate potential role of radiomics for predicting the occurrence of peritoneal metastases (PM). Materials and methods: In this single-centre retrospective study, patients with gastric adenocarcinoma and surgically confirmed presence or absen...
Article
Objective The aim of this study was to develop and validate a decision support model using data mining algorithms, based on morphologic features derived from MRI images, to discriminate between complete responders (CR) and non-complete responders (NCR) patients after neoadjuvant chemoradiotherapy (CRT), in a population of patients with locally adva...