MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities
ConclusionMRI radiomics-based machine learning may classify deep-seated lipoma and ALT of the extremities with high sensitivity and negative predictive value, thus potentially serving as a non-invasive screening tool to reduce unnecessary referral to tertiary tumor centers. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 19, 2023 Category: Radiology Source Type: research
Magnetic resonance imaging in naso-oropharyngeal carcinoma: role of texture analysis in the assessment of response to radiochemotherapy, a preliminary study
ConclusionsTexture analysis on post-gadolinium T1 images and ADC maps can differentiate residual cancer from fibrosis and inflammation in early follow-up of naso-oropharyngeal carcinoma treated with RT-CHT. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 19, 2023 Category: Radiology Source Type: research
Preliminary study for prediction of benign vertebral compression fracture age by quantitative water fraction using modified Dixon sequences: an imaging biomarker of fracture age
ConclusionsWater fraction is a good imaging biomarker for the fracture healing process. The water fraction ratio of the compression fractures can be used to predict the fracture age of benign VCFs. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 19, 2023 Category: Radiology Source Type: research
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities
ConclusionMRI radiomics-based machine learning may classify deep-seated lipoma and ALT of the extremities with high sensitivity and negative predictive value, thus potentially serving as a non-invasive screening tool to reduce unnecessary referral to tertiary tumor centers. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 19, 2023 Category: Radiology Source Type: research
Radiomics applications in cardiac imaging: a comprehensive review
AbstractRadiomics 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 still few applications in cardiovascular imaging. Several studies have shown promising results describing how radiomics principles could improve the diagnostic accuracy of coronary computed tomography angiography (CCTA) and magnetic resonance imaging (MRI) in diagnosis, r...
Source: La Radiologia Medica - June 16, 2023 Category: Radiology Source Type: research
Uterine mesenchymal tumors: development and preliminary results of a magnetic resonance imaging (MRI) diagnostic algorithm
ConclusionsUterine leiomyomas and sarcomas often show an overlap of clinical and imaging features.The application of a diagnostic algorithm can help radiologists to standardize their approach to a complex myometrial mass and to easily identify suspicious MRI features favoring malignancy. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 14, 2023 Category: Radiology Source Type: research
Virtual monoenergetic dual-layer dual-energy CT images in colorectal cancer: CT diagnosis could be improved?
ConclusionVMI40 has showed the highest quantitative image parameters. Furthermore, the use of VMI40 can lead to a significant improvement in the diagnostic performance for detecting CRC. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 13, 2023 Category: Radiology Source Type: research
Open peer review: pros and cons
(Source: La Radiologia Medica)
Source: La Radiologia Medica - June 12, 2023 Category: Radiology Source Type: research
Explainable machine learning via intra-tumoral radiomics feature mapping for patient stratification in adjuvant chemotherapy for locoregionally advanced nasopharyngeal carcinoma
ConclusionThe signature with its heterogeneity mapping could be a reliable and explainable ACT decision-making tool in clinical practice. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 10, 2023 Category: Radiology Source Type: research
Stereotactic boost on residual disease after external-beam irradiation in clinical stage III non-small cell lung cancer: mature results of stereotactic body radiation therapy post radiation therapy (SBRTpostRT) study
ConclusionsWe confirm that a stereotactic boost after radical irradiation is feasible in stage III NSCLC patients. All fit patients who have no indication to adjuvant immunotherapy and presenting residual disease after curative irradiation could benefit from stereotactic boost because outcomes seem to be better than might be historically assumed. (Source: La Radiologia Medica)
Source: La Radiologia Medica - June 9, 2023 Category: Radiology Source Type: research
