A new comprehensive MRI classification and grading system for lumbosacral central and lateral stenosis: clinical application and comparison with previous systems
ConclusionsA standardized visual grading system for lumbar spinal stenosis that takes into account all of the major contributing factors —including disc, arthritis, and lipomatosis, for the central canal, lateral recess, and neural foramina could be a useful and practical tool for defining the stenosis, lowering inter-observer variability, and directing the various treatment options. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 26, 2023 Category: Radiology Source Type: research
Extra-axial cranial nerve enhancement: a pattern-based approach
In conclusion, our approach for cranial nerve enhancement aims to be an easy tool immediately applicable to clinical practice for converting challenging findings into specific pathological patterns. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 26, 2023 Category: Radiology Source Type: research
Artificial intelligence applied in acute ischemic stroke: from child to elderly
AbstractThis review will summarize artificial intelligence developments in acute ischemic stroke in recent years and forecasts for the future. Stroke is a major healthcare concern due to its effects on the patient ’s quality of life and its dependence on the timing of the identification as well as the treatment. In recent years, attention increased on the use of artificial intelligence (AI) systems to help categorize, prognosis, and to channel these patients toward the right therapeutic procedure. Machine l earning (ML) and in particular deep learning (DL) systems using convoluted neural networks (CNN) are becoming incre...
Source: La Radiologia Medica - October 25, 2023 Category: Radiology Source Type: research
Atypical ductal hyperplasia on vacuum-assisted breast biopsy: a scoring system to predict the risk of upgrade to malignancy
ConclusionOur scoring system seemed a promising easy-to-use decision support tool for management of ADH, decreasing unnecessary surgeries, reducing patients ’ overtreatment and healthcare costs. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 24, 2023 Category: Radiology Source Type: research
A multi-institutional study to predict the benefits of DEB-TACE and molecular targeted agent sequential therapy in unresectable hepatocellular carcinoma using a radiological-clinical nomogram
ConclusionThe Rad-Clinical model may be favorable for predicting PFS in patients with unresectable HCC treated with DEB-TACE and for identifying patients who may benefit from targeted sequential therapy. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 20, 2023 Category: Radiology Source Type: research
Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas
ConclusionsHigher nICs in the arterial and portal venous phases were associated with higher blood supply improving the identification of non-hypervascular PNENs. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 20, 2023 Category: Radiology Source Type: research
Radiomics nomogram for predicting axillary lymph node metastasis —a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study
ConclusionThe nomogram combined CE-CBBCT-based radiomics features and clinical factors could have potential in distinguishing ALN positive from negative and addressing the limitation of axilla coverage in CBBCT. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 19, 2023 Category: Radiology Source Type: research
Correction: Pelvic ring fractures with concomitant large hematomas: diagnostic investigation with arteriography and eventual embolization in 157 trauma patients, with or without contrast extravasation at emergency CT
(Source: La Radiologia Medica)
Source: La Radiologia Medica - October 11, 2023 Category: Radiology Source Type: research
A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy
This study aimed to develop a multitask deep learning radiomics (MDLR) model for predicting MTM and HCC patients ’ prognosis after hepatic arterial infusion chemotherapy (HAIC).MethodsFrom June 2018 to March 2020, 158 eligible patients with HCC who underwent surgery were retrospectively enrolled in MTM related cohorts, and 752 HCC patients who underwent HAIC were included in HAIC related cohorts during the same period. DLR features were extracted from dual-phase (arterial phase and venous phase) contrast-enhanced computed tomography (CECT) of the entire liver region. Then, an MDLR model was used for the simultaneous pred...
Source: La Radiologia Medica - October 6, 2023 Category: Radiology Source Type: research
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome
ConclusionsThe combination of radiomics analysis and artificial intelligence techniques could be used to support physician decision-making in prediction of Breast Cancer Histological Outcome. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 6, 2023 Category: Radiology Source Type: research
Early patello-femoral condropathy assessment through quantitative analyses via T2 mapping magnetic resonance after anterior cruciate ligament reconstruction
ConclusionsThere are no differences between B-TP-B and HT techniques in the early development of PFC detectable through non-invasive methods. Due to the large reduction in the frequency of physical activity following ACL-R and the finding of mild PFC (grade I and II) in a substantial proportion of patients, after a relatively short period from ACL-R, all patients should undergo conservative treatment. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 3, 2023 Category: Radiology Source Type: research
New trend in artificial intelligence-based assistive technology for thoracic imaging
AbstractAlthough there is no solid agreement for artificial intelligence (AI), it refers to a computer system with intelligence similar to that of humans. Deep learning appeared in 2006, and more than 10 years have passed since the third AI boom was triggered by improvements in computing power, algorithm development, and the use of big data. In recent years, the application and development of AI technology in the medical field have intensified internationally. There is no doubt that AI will be use d in clinical practice to assist in diagnostic imaging in the future. In qualitative diagnosis, it is desirable to develop an...
Source: La Radiologia Medica - October 1, 2023 Category: Radiology Source Type: research
Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content
ConclusionsUDFF reliably quantifies liver fat content and improves the diagnostic value of US for the detection of hepatic steatosis. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 1, 2023 Category: Radiology Source Type: research
Predicting the recurrence of hepatocellular carcinoma ( ≤ 5 cm) after resection surgery with promising risk factors: habitat fraction of tumor and its peritumoral micro-environment
ConclusionHabitat imaging of HCC and peritumoral microenvironment can be used for effectively and non-invasively estimating the RFS, which holds potential in guiding clinical management and decision making. (Source: La Radiologia Medica)
Source: La Radiologia Medica - October 1, 2023 Category: Radiology Source Type: research
