Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study
ConclusionThe MRI-based ensemble multi-task framework shows promising performance in automatically and simultaneously detecting, segmenting, and classifying PBTs and bone infections, which was preferable to junior radiologists.Clinical relevance statementCompared with junior radiologists, the ensemble multi-task deep learning framework effectively improves differential diagnosis for patients with primary bone tumors or bone infections. This finding may help physicians make treatment decisions and enable timely treatment of patients.Key Points• The ensemble framework fusing multi-parametric MRI and clinical characteristic...
Source: European Radiology - December 21, 2023 Category: Radiology Source Type: research
[18F]FDG PET-CT radiomics signature to predict pathological complete response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: a multicenter study
ConclusionThe proposed PET-CT radiomics model was capable of predicting pCR to neoadjuvant chemoimmunotherapy in NSCLC patients.Clinical relevance statementThis study indicated that the generated18F-fluorodeoxyglucose positron emission tomography –computed tomography radiomics model could predict pathological complete response to neoadjuvant chemoimmunotherapy, implying the potential of our radiomics model to personalize the neoadjuvant chemoimmunotherapy in lung cancer patients.Key Points• Recognizing patients potentially benefiting neoadjuvant chemoimmunotherapy is critical for individualized therapy of lung cancer.â...
Source: European Radiology - December 21, 2023 Category: Radiology Source Type: research
AI in breast cancer screening: a critical overview of what we know
(Source: European Radiology)
Source: European Radiology - December 21, 2023 Category: Radiology Source Type: research
Looking at the rim in multiple sclerosis: new MRI-based biomarkers may open our eyes to the disease ’s evolution
(Source: European Radiology)
Source: European Radiology - December 20, 2023 Category: Radiology Source Type: research
Pre-injection anticipation of artifacts in contrast-enhanced breast MRI: artificial intelligence harnessed for the aid once again
(Source: European Radiology)
Source: European Radiology - December 20, 2023 Category: Radiology Source Type: research
Might sarcopenia be patient-oriented evidence that matters in CNS lymphomas? A glance out of the neuraxis
(Source: European Radiology)
Source: European Radiology - December 20, 2023 Category: Radiology Source Type: research
Non-gated chest CT for coronary artery calcium score: is this reliable?
(Source: European Radiology)
Source: European Radiology - December 20, 2023 Category: Radiology Source Type: research
Structured reporting in prostate cancer: the revolution of quality in nuclear medicine scan interpretation
(Source: European Radiology)
Source: European Radiology - December 20, 2023 Category: Radiology Source Type: research
Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images
ConclusionThe deep learning algorithms solely mining nodule information can efficiently predict malignancy of incidental sub-centimeter pulmonary nodules.Clinical relevance statementThe established models may be valuable for supporting clinicians in routine clinical practice, potentially reducing the number of unnecessary examinations and also delays in diagnosis.Key Points• According to different regions of interest, four deep learning models were developed and compared to evaluate the malignancy of sub-centimeter pulmonary nodules by CT images.• The models derived from baseline nodule box or baseline plus follow-up n...
Source: European Radiology - December 20, 2023 Category: Radiology Source Type: research
Safety and efficacy of CT-guided percutaneous microwave ablation for stage I non-small cell lung cancer in patients with comorbid idiopathic pulmonary fibrosis
ConclusionMWA was feasible in the treatment of stage I NSCLC in patients with IPF. IPF had an adverse effect on the survival of stage I NSCLC treated with MWA.Clinical relevance statementCT-guided microwave ablation is a well-tolerated and effective potential alternative treatment for stage I non-small cell lung cancer in patients with idiopathic pulmonary fibrosis.Key Points• Microwave ablation for stage I non-small cell lung cancer was well-tolerated without procedure-related acute exacerbation of idiopathic pulmonary fibrosis and death in patients with idiopathic pulmonary fibrosis.• No differences were observed in ...
Source: European Radiology - December 20, 2023 Category: Radiology Source Type: research
Intraductal papillary neoplasm of the bile duct: diagnostic value of MRI features in differentiating pathologic subclassifications —type 1 versus type 2
ConclusionMRI with MR cholangiopancreatography may be helpful in differentiating type 2 IPNB from type 1 IPNB and assessing malignant potential of IPNB.Clinical relevance statementPreoperative MRI with MR cholangiopancreatography may be helpful in differentiating type 2 intraductal papillary neoplasms of bile duct (IPNB) from type 1 IPNB and assessing malignant potential of IPNB.Key Points•In terms of tumor grade, the incidence of invasive carcinoma was significantly higher in type 2 intraductal papillary neoplasm of the bile duct (IPNB) than in type 1 IPNB.•At MRI, extrahepatic location and no dilatation of tumor-bear...
Source: European Radiology - December 19, 2023 Category: Radiology Source Type: research
Quantitative metrics of the LV trabeculated layer by cardiac CT and cardiac MRI in patients with suspected noncompaction cardiomyopathy
ConclusionsTMA, TCA, and TMV metrics of the LV trabeculated layer in patients with suspected NCCM demonstrated high concordance between CCT and CMR images. TMA and TCA were highly reproducible and demonstrated minimal differences between mid-diastolic and end-diastolic CCT images.Clinical relevance statementThe results indicate similarity of CCT to CMR for quantifying the LV trabeculated layer, and the small differences in quantification between end-diastole and mid-diastole demonstrate the potential for quantifying the LV trabeculated layer from clinically performed coronary CT angiograms.Key Points• Data on cardiac CT ...
Source: European Radiology - December 19, 2023 Category: Radiology Source Type: research
Spatiotemporal analysis of contrast-enhanced ultrasound for differentiating between malignant and benign breast lesions
ConclusionsThe proposed spatiotemporal analysis for assessing the enhancement heterogeneity shows promising results to aid in the diagnosis of breast cancer by CEUS.Clinical relevance statementThe proposed spatiotemporal method can be developed as a standardized software to automatically quantify the enhancement heterogeneity of breast cancer on CEUS, possibly leading to the improved diagnostic accuracy of differentiation between benign and malignant lesions.Key Points•Advanced spatiotemporal analysis of ultrasound contrast-enhanced loops for aiding the differentiation of malignant or benign breast lesions.•Four parame...
Source: European Radiology - December 19, 2023 Category: Radiology Source Type: research
Immune-related visual dysfunction in thyroid eye disease: a combined orbital and brain neuroimaging study
ConclusionsCombined orbital and brain neuroimaging revealed abnormalities of the VPS in TED, which had a close correlation with immune statuses. Vision-related brain regions in TED might be possibly altered by peripheral immunity via a direct or indirect approach.Clinical relevance statementThe discovery of this study explained the disparity of visual dysfunction in TED patients with different immune statuses. With the uncovered neuroimaging markers, early detection and intervention of visual dysfunction could be achieved and potentially benefit TED patients.Key Points•Patients with different immune statuses of thyroid e...
Source: European Radiology - December 19, 2023 Category: Radiology Source Type: research
Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs
ConclusionsA deep learning model successfully predicted survival in patients with IPF from chest radiographs, comparable to and independent of FVC.Clinical relevance statementDeep learning-based prognostication from chest radiographs offers comparable-to-higher prognostic performance than forced vital capacity.Key Points• A deep learning-based prognostic model for idiopathic pulmonary fibrosis was developed using 6063 radiographs.• The prognostic performance of the model was comparable-to-higher than forced vital capacity, and was independent from FVC in all three external test cohorts.• A modified gender-age-phys...
Source: European Radiology - December 19, 2023 Category: Radiology Source Type: research
