Comparison between postcontrast thin-slice T1-weighted 2D spin echo and 3D T1-weighted SPACE sequences in the detection of brain metastases at 1.5 and 3 Â T
ConclusionsAlthough SE sequences are superior to gradient echo sequences in the detection of small MBL, they have long acquisition times and frequent artifacts. We show that T1-weighted SPACE is not inferior to standard thin-slice SE sequences in the detection of MBL at both imaging fields.Critical relevance statementOur results show the suitability of 3D T1-weighted turbo spin echo (TSE) sequences (SPACE, CUBE, VISTA) in the detection of brain metastases at both 1.5  T and 3 T.Key points• Accurate detection of brain metastases is critical due to advances in radiosurgery.• T1-weighted SE sequences are superior to gra...
Source: Insights into Imaging - March 14, 2024 Category: Radiology Source Type: research
Ultrasonic shear wave elastography predicts the quality of the residual tendon before the rotator cuff repair
ConclusionSWE could be used to predict the quality of the residual tendon before the rotator cuff repair. SWV of the supraspinatus tendon and muscle was a useful parameter to predict the quality of the residual tendon.Critical relevance statementMeasuring the shear wave velocity of the supraspinatus tendon and muscle with SWE is useful for predicting the quality of the residual tendon which is one of the key factors for a successful rotator cuff repair.Key points• Evaluating the quality of the residual tendon is important before surgery.• Elasticity measurements were negatively correlated with the arthroscopic score.â€...
Source: Insights into Imaging - March 14, 2024 Category: Radiology Source Type: research
CT-based pancreatic radiomics predicts secondary loss of response to infliximab in biologically na ïve patients with Crohn’s disease
ConclusionsThe first proposed pancreatic-related nomogram represents a credible, noninvasive predictive instrument to assist clinicians in accurately identifying SLR and non-SLR in CD patients.Critical relevance statementThis study first built a visual nomogram incorporating pancreatic texture features and clinical factors, which could facilitate clinicians to make personalized treatment decisions and optimize cost-effectiveness ratio for patients with CD.Key points• The first proposed pancreatic-related model predicts secondary loss of response for infliximab in Crohn’s disease.• The model achieved satisfactory pred...
Source: Insights into Imaging - March 13, 2024 Category: Radiology Source Type: research
Radiological biomarkers reflecting visceral fat distribution help distinguish inflammatory bowel disease subtypes: a multicenter cross-sectional study
ConclusionCT-based VAT distribution can serve as a potential biomarker for distinguishing IBD subtypes.Critical relevance statementVisceral fat distribution features extracted from CT images using an automated segmentation algorithm (1.14 min) show differences between Crohn ’s disease and ulcerative colitis and are promising for practical radiological screening.Key points• Radiological parameters reflecting visceral fat distribution were extracted for the discrimination of Crohn’s disease (CD) and ulcerative colitis (UC).• In CD, visceral fat was concentrated in the lower lumbar vertebrae, and the coefficient of va...
Source: Insights into Imaging - March 13, 2024 Category: Radiology Source Type: research
Deep learning-based automated lesion segmentation on pediatric focal cortical dysplasia II preoperative MRI: a reliable approach
ConclusionThis pilot study confirmed that 3D full-resolution nnU-Net can automatically segment FCD lesions with reliable outcomes. This provides a novel approach to FCD lesion detection.Critical relevance statementOur fully automatic models could process the 3D T1-MPRAGE data and segment FCD II lesions with reliable outcomes.Key points• Simplified image processing promotes the DL model implemented in clinical practice.• The histopathological confirmed lesion masks enhance the clinical credibility of the AI model.• The voxel-level evaluation metrics benefit lesion detection and clinical decisions.Graphical Abstract (S...
Source: Insights into Imaging - March 13, 2024 Category: Radiology Source Type: research
Prediction of clinically significant prostate cancer using radiomics models in real-world clinical practice: a retrospective multicenter study
ConclusionsThis radiomics model resulted as a powerful, non-invasive auxiliary tool for accurately predicting prostate cancer aggressiveness. The radiomics model could reduce unnecessary biopsies and help improve the diagnostic performance of radiologists ’ PI-RADS. Yet, prospective studies are still needed to validate the radiomics models further.Critical relevance statementThe radiomics model with MRI may help to accurately screen out clinically significant prostate cancer, thereby assisting physicians in making individualized treatment plans.Key points• The diagnostic performance of the radiomics model using the Ran...
Source: Insights into Imaging - February 29, 2024 Category: Radiology Source Type: research
MRI T2 mapping and shear wave elastography for identifying main pain generator in delayed-onset muscle soreness: muscle or fascia?
ConclusionDOMS is a common result of muscle and fascia injuries. Deep fascia edema and stiffness play a crucial role in DOMS, which can be effectively evaluated MR-T2 and SWE.Critical relevance statementDelayed-onset muscle soreness is a common result of muscle and deep fascia injuries, in which the edema and stiffness of the deep fascia play a crucial role. Both MRI and shear wave elastography can be effectively used to evaluate soft tissue injuries.Key points• The deep fascia is the major pain generator of delayed-onset muscle soreness.• There is a significant correlation between fascia injury and delayed-onset muscl...
Source: Insights into Imaging - February 29, 2024 Category: Radiology Source Type: research
Prognostic value of right atrial strains in arrhythmogenic right ventricular cardiomyopathy
ConclusionRARS and RABS were independent predictors for adverse cardiac events, which could provide incremental prognostic value for conventional predictors in ARVC.Critical relevance statementWe evaluated the prognostic value of right atrial strain in ARVC patients and suggested cardiologists consider RA strain as a predictive parameter when evaluating the long-term outcome of ARVC patients in order to formulate better clinical therapy.Key points• Patients with ARVC had significantly reduced RA strain and strain rates compared with healthy participants.• Participants with lower RA reservoir and booster stains were ass...
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research
A retrospective study on adverse events of intravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications in 83,778 patients
ConclusionsIntravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications was safe with rare AEs. AEs were more likely to happen in abdominal applications than superficial ones. A well-designed emergency plan should be available for clinical use of sulfur hexafluoride microbubbles to reduce AEs and to deal with AEs properly.Critical relevance statementIntravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications reported few AEs and could be considered safe but severe AEs are life-threatening. We analyzed the influence factors of AEs and p...
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research
T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer
ConclusionThe nomogram incorporating intratumoral and peritumoral 3 mm Radscore and clinical risk factors could predict preoperative ENE. Combining nomogram-based ENE and MRI-reported EMVI may be useful in predicting 3-year RFS.Critical relevance statementA clinical-radiomics nomogram could help preoperative predict ENE, and a prognostic model constructed by the nomogram-based ENE and MRI-reported EMVI could predict 3-year RFS in patients with resectable rectal cancer.Key points• Intratumoral and peritumoral 3 mm Radscore showed the most capability for predicting ENE.• Clinical-radiomics nomogram achieved the best pred...
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research
Prediction of lymph node metastasis in operable cervical cancer using clinical parameters and deep learning with MRI data: a multicentre study
ConclusionThe proposed hybrid model could be used as a personalised non-invasive tool, which is helpful for predicting LNM in operable cervical cancer. The score of the hybrid model could also reflect the DFS of operable cervical cancer.Critical relevance statementLymph node metastasis is an important factor affecting the prognosis of cervical cancer. Preoperative prediction of lymph node status is helpful to make treatment decisions, improve prognosis, and prolong survival time.Key points• The MRI-based deep-learning model can predict the LNM in operable cervical cancer.• The hybrid model has the highest diagnostic ef...
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research
The use of PET/MRI in radiotherapy
This article critically assesses the transformative role of PET/MRI in advancing precision radiotherapy, providing essential insights into improved radiation positioning, target delineation, efficacy evaluation, and patient surveillance in clinical radiology practice.Key points• The emergence of PET/MRI will be a key bridge for precise radiotherapy.• PET/MRI has unique advantages in the whole process of radiotherapy.• New tracers and nanoparticle probes will broaden the use of PET/MRI in radiation.• PET/MRI will be utilized more frequently for radiotherapy.Graphical Abstract (Source: Insights into Imaging)
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research
Liver imaging and pregnancy: what to expect when your patient is expecting
AbstractLiver diseases in pregnancy can be specific to gestation or only coincidental. In the latter case, the diagnosis can be difficult. Rapid diagnosis of maternal-fetal emergencies and situations requiring specialized interventions are crucial to preserve the maternal liver and guarantee materno-fetal survival. While detailed questioning of the patient and a clinical examination are highly important, imaging is often essential to reach a diagnosis of these liver diseases and lesions. Three groups of liver diseases may be observed during pregnancy: (1) diseases related to pregnancy: intrahepatic cholestasis of pregnancy...
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research
Deep learning model based on multi-lesion and time series CT images for predicting the benefits from anti-HER2 targeted therapy in stage IV gastric cancer
ConclusionThe Nomo-LDLM-2F score derived from multi-lesion and time series CT images holds promise for the effective readout of OS probability in patients with HER2-positive stage IV GC receiving anti-HER2 therapy.Critical relevance statementThe deep learning model using baseline and early follow-up CT images aims to predict OS in patients with stage IV gastric cancer receiving anti-HER2 targeted therapy. This model highlights the spatiotemporal heterogeneity of stage IV GC, assisting clinicians in the early evaluation of the efficacy of anti-HER2 therapy.Key points• Multi-lesion and time series model revealed the spatio...
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research
Computed tomography-based body composition parameters can predict short-term prognosis in ulcerative colitis patients
ConclusionsThe predicting model constructed with CT-based body composition parameters is a potential non-invasive approach for short-term prognosis identification and risk stratification. Additionally, VAT density was an independent predictor for escalating therapeutic regimens in UC cohorts.Critical relevance statementThe CT images were used for evaluating body composition and risk stratification of ulcerative colitis patients, and a potential non-invasive prediction model was constructed to identify non-responders with conventional therapy for making therapeutic regimens timely and accurately.Key points• CT-based predi...
Source: Insights into Imaging - February 27, 2024 Category: Radiology Source Type: research