Insights into Imaging
@insightsimaging.bsky.social
#InsightsIntoImaging is a gold open access journal owned by the European Society of Radiology and edited by Editor-in-Chief, Paola Clauser.
🟣 https://www.i3-journal.org/
Social Media Editor: @cannellaroberto.bsky.social
🟣 https://www.i3-journal.org/
Social Media Editor: @cannellaroberto.bsky.social
(Jonathan P. McNulty et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
@myESR @EFRadiographerS
Guidelines and recommendations for radiographer education from the EU-REST project - Insights into Imaging
Abstract Advancements in medical imaging, nuclear medicine, and radiotherapy have significantly improved patient care, while also requiring responsive education and training programmes and continuing…
insightsimaging.springeropen.com
November 28, 2025 at 12:02 PM
(Jonathan P. McNulty et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
@myESR @EFRadiographerS
Key recommendations:
🔹 Standardised, competency-based curricula aligned with evolving tech & safety standards
🔹 Structured clinical placements and mandatory CPD
🔹 Flexible learning pathways & equitable financial support for students
🔹 Expansion of postgraduate and specialised training
🔹 Standardised, competency-based curricula aligned with evolving tech & safety standards
🔹 Structured clinical placements and mandatory CPD
🔹 Flexible learning pathways & equitable financial support for students
🔹 Expansion of postgraduate and specialised training
Guidelines and recommendations for radiographer education from the EU-REST project - Insights into Imaging
Abstract Advancements in medical imaging, nuclear medicine, and radiotherapy have significantly improved patient care, while also requiring responsive education and training programmes and continuing…
insightsimaging.springeropen.com
November 28, 2025 at 12:02 PM
Key recommendations:
🔹 Standardised, competency-based curricula aligned with evolving tech & safety standards
🔹 Structured clinical placements and mandatory CPD
🔹 Flexible learning pathways & equitable financial support for students
🔹 Expansion of postgraduate and specialised training
🔹 Standardised, competency-based curricula aligned with evolving tech & safety standards
🔹 Structured clinical placements and mandatory CPD
🔹 Flexible learning pathways & equitable financial support for students
🔹 Expansion of postgraduate and specialised training
📊 Key highlights:
🔹 Identified major gaps in workforce planning across EU member states
🔹 Introduces a workload-based staffing model (WISN method)
🔹 Recommends national registries and recognition of advanced & emerging roles
🔹 Aims to harmonise staffing, improve safety, and enhance patient outcomes
🔹 Identified major gaps in workforce planning across EU member states
🔹 Introduces a workload-based staffing model (WISN method)
🔹 Recommends national registries and recognition of advanced & emerging roles
🔹 Aims to harmonise staffing, improve safety, and enhance patient outcomes
Guidelines and recommendations for radiographer staffing from the EU-REST project - Insights into Imaging
Abstract This article outlines the radiographer workforce and staffing recommendations developed by the European Commission-funded EU-REST (European Union Radiation, Education, Staffing and Training)…
insightsimaging.springeropen.com
November 28, 2025 at 9:02 AM
📊 Key highlights:
🔹 Identified major gaps in workforce planning across EU member states
🔹 Introduces a workload-based staffing model (WISN method)
🔹 Recommends national registries and recognition of advanced & emerging roles
🔹 Aims to harmonise staffing, improve safety, and enhance patient outcomes
🔹 Identified major gaps in workforce planning across EU member states
🔹 Introduces a workload-based staffing model (WISN method)
🔹 Recommends national registries and recognition of advanced & emerging roles
🔹 Aims to harmonise staffing, improve safety, and enhance patient outcomes
📊 2025 results:
✅ 67% completed the challenge in time
✅ High ratings for learning, teamwork, and enjoyment
🩻 A step-by-step guide now shows how to design these interactive, team-based learning experiences for radiology education.
(Jonas Oppenheimer et al.) #InsightsintoImaging
shorturl.at/rBzJQ
✅ 67% completed the challenge in time
✅ High ratings for learning, teamwork, and enjoyment
🩻 A step-by-step guide now shows how to design these interactive, team-based learning experiences for radiology education.
(Jonas Oppenheimer et al.) #InsightsintoImaging
shorturl.at/rBzJQ
Escape rooms as an interactive learning experience: insights into designing a radiology-themed escape room and exit survey data - Insights into Imaging
Objectives Escape rooms provide an interactive learning experience, combining clinical knowledge with problem-solving and teamwork. A radiology-themed escape room has been organized at the European…
insightsimaging.springeropen.com
November 27, 2025 at 10:01 AM
📊 2025 results:
✅ 67% completed the challenge in time
✅ High ratings for learning, teamwork, and enjoyment
🩻 A step-by-step guide now shows how to design these interactive, team-based learning experiences for radiology education.
(Jonas Oppenheimer et al.) #InsightsintoImaging
shorturl.at/rBzJQ
✅ 67% completed the challenge in time
✅ High ratings for learning, teamwork, and enjoyment
🩻 A step-by-step guide now shows how to design these interactive, team-based learning experiences for radiology education.
(Jonas Oppenheimer et al.) #InsightsintoImaging
shorturl.at/rBzJQ
📊 In 63 patients:
• Shear wave velocity was the strongest predictor (AUC = 0.84)
• Combined ultrasound indices improved accuracy (AUC = 0.88)
• Matched endoscopic specificity (100%) with 71% sensitivity
(Xielu Sun et al.)
insightsimaging.springeropen.com/articles/10....
• Shear wave velocity was the strongest predictor (AUC = 0.84)
• Combined ultrasound indices improved accuracy (AUC = 0.88)
• Matched endoscopic specificity (100%) with 71% sensitivity
(Xielu Sun et al.)
insightsimaging.springeropen.com/articles/10....
Clinical value of multimodal ultrasound in evaluating intestinal stiffness and fibrosis in active Crohn’s disease - Insights into Imaging
Objective It was hypothesized that virtual touch tissue imaging and quantification (VTIQ) is more accurate in quantifying intestinal stiffness compared to conventional B-mode ultrasound for detecting…
insightsimaging.springeropen.com
November 26, 2025 at 10:01 AM
📊 In 63 patients:
• Shear wave velocity was the strongest predictor (AUC = 0.84)
• Combined ultrasound indices improved accuracy (AUC = 0.88)
• Matched endoscopic specificity (100%) with 71% sensitivity
(Xielu Sun et al.)
insightsimaging.springeropen.com/articles/10....
• Shear wave velocity was the strongest predictor (AUC = 0.84)
• Combined ultrasound indices improved accuracy (AUC = 0.88)
• Matched endoscopic specificity (100%) with 71% sensitivity
(Xielu Sun et al.)
insightsimaging.springeropen.com/articles/10....
🔹 60% view AI as improving diagnostic accuracy
🔹 Transparency (56%) is the top trust factor - more than liability or data protection
🔹 Main barriers: “black box” models, unclear accountability, privacy concerns
🔹 No major trust differences across specialties
🔹 Transparency (56%) is the top trust factor - more than liability or data protection
🔹 Main barriers: “black box” models, unclear accountability, privacy concerns
🔹 No major trust differences across specialties
Implementation of AI in radiology: the perspective of referring physicians - Insights into Imaging
Objectives AI offers considerable potential to improve diagnostic accuracy and efficiency in radiology. However, its successful implementation depends largely on the trust and acceptance of referring…
insightsimaging.springeropen.com
November 25, 2025 at 10:00 AM
🔹 60% view AI as improving diagnostic accuracy
🔹 Transparency (56%) is the top trust factor - more than liability or data protection
🔹 Main barriers: “black box” models, unclear accountability, privacy concerns
🔹 No major trust differences across specialties
🔹 Transparency (56%) is the top trust factor - more than liability or data protection
🔹 Main barriers: “black box” models, unclear accountability, privacy concerns
🔹 No major trust differences across specialties
🔹 Sequential UDFF + HSI improved detection in patients with BMI ≥ 23 kg/m²
(Liyun Xue et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
(Liyun Xue et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
Ultrasound-derived fat fraction for the noninvasive quantification of hepatic steatosis: a prospective multicenter study - Insights into Imaging
Objectives To prospectively evaluate the diagnostic accuracy of ultrasound-derived fat fraction (UDFF) in quantifying hepatic steatosis, to establish and validate a dual-threshold UDFF classification…
insightsimaging.springeropen.com
November 24, 2025 at 12:01 PM
🔹 Sequential UDFF + HSI improved detection in patients with BMI ≥ 23 kg/m²
(Liyun Xue et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
(Liyun Xue et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
Key findings from 790 participants:
🔹 Strong correlation with biopsy, MRI-PDFF & ¹H-MRS (ρ = 0.80–0.85)
🔹 Higher AUCs (0.91–0.95) than HSI or FLI for steatosis grading
🔹 A new dual-threshold UDFF system (≥90% sensitivity/specificity) accurately stratified disease severity
🔹 Strong correlation with biopsy, MRI-PDFF & ¹H-MRS (ρ = 0.80–0.85)
🔹 Higher AUCs (0.91–0.95) than HSI or FLI for steatosis grading
🔹 A new dual-threshold UDFF system (≥90% sensitivity/specificity) accurately stratified disease severity
Ultrasound-derived fat fraction for the noninvasive quantification of hepatic steatosis: a prospective multicenter study - Insights into Imaging
Objectives To prospectively evaluate the diagnostic accuracy of ultrasound-derived fat fraction (UDFF) in quantifying hepatic steatosis, to establish and validate a dual-threshold UDFF classification…
insightsimaging.springeropen.com
November 24, 2025 at 12:01 PM
Key findings from 790 participants:
🔹 Strong correlation with biopsy, MRI-PDFF & ¹H-MRS (ρ = 0.80–0.85)
🔹 Higher AUCs (0.91–0.95) than HSI or FLI for steatosis grading
🔹 A new dual-threshold UDFF system (≥90% sensitivity/specificity) accurately stratified disease severity
🔹 Strong correlation with biopsy, MRI-PDFF & ¹H-MRS (ρ = 0.80–0.85)
🔹 Higher AUCs (0.91–0.95) than HSI or FLI for steatosis grading
🔹 A new dual-threshold UDFF system (≥90% sensitivity/specificity) accurately stratified disease severity
In 38 cases, metabolic activity (SUVmax, MTV, TLG) showed no impact on diagnostic yield.
👉 Even highly active lesions didn’t justify taking fewer samples.
📍 Recommendation: obtain ≥3 samples, prioritizing safety over metabolic intensity. (Mathieu Conjeaud et al.) #InsightsintoImaging
👉 Even highly active lesions didn’t justify taking fewer samples.
📍 Recommendation: obtain ≥3 samples, prioritizing safety over metabolic intensity. (Mathieu Conjeaud et al.) #InsightsintoImaging
Performance of image-guided bone biopsies in malignant lesions: impact of PET/CT metabolic activity on the number of samples required - Insights into Imaging
Objective The purpose of the present study is to determine whether or not lesion characteristics on PET/CT could reduce the number of samples required to achieve a diagnosis in image-guided bone…
insightsimaging.springeropen.com
November 24, 2025 at 9:00 AM
In 38 cases, metabolic activity (SUVmax, MTV, TLG) showed no impact on diagnostic yield.
👉 Even highly active lesions didn’t justify taking fewer samples.
📍 Recommendation: obtain ≥3 samples, prioritizing safety over metabolic intensity. (Mathieu Conjeaud et al.) #InsightsintoImaging
👉 Even highly active lesions didn’t justify taking fewer samples.
📍 Recommendation: obtain ≥3 samples, prioritizing safety over metabolic intensity. (Mathieu Conjeaud et al.) #InsightsintoImaging
📊 Key findings:
🔹 Logistic regression–based clinical-radiomics model achieved the best performance
- AUC = 0.94 (internal) | 0.85 (external)
🔹 Combines CT radiomics + clinical data for robust prediction
🔹 Offers a noninvasive tool for early assessment of immunotherapy efficacy
🔹 Logistic regression–based clinical-radiomics model achieved the best performance
- AUC = 0.94 (internal) | 0.85 (external)
🔹 Combines CT radiomics + clinical data for robust prediction
🔹 Offers a noninvasive tool for early assessment of immunotherapy efficacy
Multimodal CT radiomics predicts PD-1 inhibitor efficacy in advanced gastric cancer: a two-center validation study - Insights into Imaging
Objectives In this study, we developed a multi-modal CT-based machine learning model to predict the response of gastric cancer (GC) patients to first-line chemotherapy combined with PD-1 inhibitors…
insightsimaging.springeropen.com
November 21, 2025 at 1:02 PM
📊 Key findings:
🔹 Logistic regression–based clinical-radiomics model achieved the best performance
- AUC = 0.94 (internal) | 0.85 (external)
🔹 Combines CT radiomics + clinical data for robust prediction
🔹 Offers a noninvasive tool for early assessment of immunotherapy efficacy
🔹 Logistic regression–based clinical-radiomics model achieved the best performance
- AUC = 0.94 (internal) | 0.85 (external)
🔹 Combines CT radiomics + clinical data for robust prediction
🔹 Offers a noninvasive tool for early assessment of immunotherapy efficacy
This multimodal approach may aid personalized NSCLC management. (Qianqian Chen et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
insightsimaging.springeropen.com/articles/10....
Integrated PET-IVIM-DKI MRI for predicting lymphovascular invasion in NSCLC - Insights into Imaging
Objectives To evaluate the potential value of 18F-FDG positron emission tomography (PET) and multiparametric MRI (intravoxel incoherent motion, IVIM, and diffusion kurtosis imaging, DKI) in the…
insightsimaging.springeropen.com
November 21, 2025 at 9:01 AM
This multimodal approach may aid personalized NSCLC management. (Qianqian Chen et al.) #InsightsintoImaging
insightsimaging.springeropen.com/articles/10....
insightsimaging.springeropen.com/articles/10....
🔹 Both metabolic (SUVmax, MTV, TLG) and diffusion (IVIM, DKI) parameters differed by LVI status
🔹 MTV and true diffusion coefficient (D) were independent predictors
🔹 Combined PET–MRI model achieved AUC = 0.84, improving diagnostic performance
🔹 MTV and true diffusion coefficient (D) were independent predictors
🔹 Combined PET–MRI model achieved AUC = 0.84, improving diagnostic performance
Integrated PET-IVIM-DKI MRI for predicting lymphovascular invasion in NSCLC - Insights into Imaging
Objectives To evaluate the potential value of 18F-FDG positron emission tomography (PET) and multiparametric MRI (intravoxel incoherent motion, IVIM, and diffusion kurtosis imaging, DKI) in the…
insightsimaging.springeropen.com
November 21, 2025 at 9:01 AM
🔹 Both metabolic (SUVmax, MTV, TLG) and diffusion (IVIM, DKI) parameters differed by LVI status
🔹 MTV and true diffusion coefficient (D) were independent predictors
🔹 Combined PET–MRI model achieved AUC = 0.84, improving diagnostic performance
🔹 MTV and true diffusion coefficient (D) were independent predictors
🔹 Combined PET–MRI model achieved AUC = 0.84, improving diagnostic performance