Correction: A multitask deep learning radiomics model for predicting the macrotrabecular ‑massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy
(Source: La Radiologia Medica)
Source: La Radiologia Medica - January 17, 2024 Category: Radiology Source Type: research
Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures
ConclusionsOur study demonstrates the potential of LDCT-based radiomics and DL signatures for predicting DM in NSCLC. These signatures could help improve lung cancer screening regarding further diagnostic tests and treatment strategies. (Source: La Radiologia Medica)
Source: La Radiologia Medica - January 12, 2024 Category: Radiology Source Type: research
The GRAPHS-CRAFITY score: a novel efficacy predictive tool for unresectable hepatocellular carcinoma treated with immunotherapy
ConclusionsThe GRAPHS-CRAFITY score is a reliable and easily applicable tool to predict the efficacy of unresectable HCC receiving immunotherapy. (Source: La Radiologia Medica)
Source: La Radiologia Medica - January 5, 2024 Category: Radiology Source Type: research
LNAS: a clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station mapping without regard to the pathogenesis using unenhanced CT images
ConclusionAI improved the sensitivity lymph node segmentation by radiologists with an advantage in reading time. (Source: La Radiologia Medica)
Source: La Radiologia Medica - December 18, 2023 Category: Radiology Source Type: research
The role of an artificial intelligence software in clinical senology: a mammography multi-reader study
ConclusionThe use of AI software as a second reader for breast lesions assessment could play a crucial role in the clinical setting, by increasing sensitivity and specificity, especially for less experienced radiologists. (Source: La Radiologia Medica)
Source: La Radiologia Medica - December 11, 2023 Category: Radiology Source Type: research
Residual networks models detection of atrial septal defect from chest radiographs
ConclusionThe ResNets model is feasible for identifying ASD through children ’s chest radiographs. ResNet-10t stands out as the preferable estimation model, providing exceptional performance and clear interpretability. (Source: La Radiologia Medica)
Source: La Radiologia Medica - December 11, 2023 Category: Radiology Source Type: research
The role of an artificial intelligence software in clinical senology: a mammography multi-reader study
ConclusionThe use of AI software as a second reader for breast lesions assessment could play a crucial role in the clinical setting, by increasing sensitivity and specificity, especially for less experienced radiologists. (Source: La Radiologia Medica)
Source: La Radiologia Medica - December 11, 2023 Category: Radiology Source Type: research
Residual networks models detection of atrial septal defect from chest radiographs
ConclusionThe ResNets model is feasible for identifying ASD through children ’s chest radiographs. ResNet-10t stands out as the preferable estimation model, providing exceptional performance and clear interpretability. (Source: La Radiologia Medica)
Source: La Radiologia Medica - December 11, 2023 Category: Radiology Source Type: research
Stereotactic reirradiation with CyberknifeR for locally recurrent prostate cancer, long-term toxicity and clinical outcomes from a monocentric cohort
ConclusionsAfter almost 5 years of follow-up, with a median BRFS of 40.4 months and no grade ≥ 2 AEs, CyberknifeR rSBRT proved effective and safe in a cohort of 101 patients affected by locally recurrent PCa. (Source: La Radiologia Medica)
Source: La Radiologia Medica - December 1, 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 - December 1, 2023 Category: Radiology Source Type: research
Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy
ConclusionA DL algorithm like this might become a valuable tool supporting clinicians ’ initial decision making on radiography regarding SL integrity and consequential triage for further patient management. (Source: La Radiologia Medica)
Source: La Radiologia Medica - December 1, 2023 Category: Radiology Source Type: research
