#InsightsIntoImaging
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📌 CEUS quantification is a non-invasive adjunct to identify aggressive HCC subtypes and optimize management. (Xin Guan et al.) #InsightsintoImaging
October 21, 2025 at 9:02 AM
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📌 Key takeaway: Recognizing these entities ensures accurate reporting and guides proper management. (Giuliana La Rosa et al.) #InsightsintoImaging

insightsimaging.springeropen.com/articles/10....
A pictorial essay of thoracic wall diseases: multiple pathologies in the same anatomical site - Insights into Imaging
Objectives To describe diagnostic and radiological features of the main pathologies affecting the thoracic wall, providing a pictorial atlas based on several clinical cases extracted from our…
insightsimaging.springeropen.com
October 20, 2025 at 9:01 AM
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This Educational Review highlights common chest CT imaging findings, helping to differentiate these infections and guide treatment in immunosuppressed children. (Leonor Alamo et al.)

#InsightsIntoImaging

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(2/2)
January 10, 2025 at 10:00 AM
insightsimaging.bsky.social
#GPT-4o was found to significantly outperform human candidates in low-order, text based multiple choice questions for the European Diploma of Radiology (EDiR), in this study from Jakub Pristoupil et al

#InsightsintoImaging

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April 29, 2025 at 9:05 AM
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This Reply to the Letter to the Editor from Emeritus Editor-in-Chief Luis Martí-Bonmatí responds to Steve Halligan and Stuart Taylor asking "Should all trainees 'do research'?"

#InsightsintoImaging

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insightsimaging.springeropen.com/articles/10....
Reply to the Letter to the Editor: Should all trainees “do research”? - Insights into Imaging
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May 16, 2025 at 9:02 AM
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⚠️ New #InsightsintoImaging study

Using the Reason for Exam Imaging Reporting and Data System (RI-RADS), this study found that:
November 7, 2025 at 10:01 AM
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A new study published in #InsightsIntoImaging developed a large language model (LLM) for #LIRADS v2018 categorization of hepatic observations based on free-text descriptions from MRI reports.

(1/2)
December 13, 2024 at 10:00 AM
insightsimaging.bsky.social
...traditional cardiac CT, potentially aiding CV risk prediction. (Roberto Farì et al.)

#InsightsIntoImaging #RadSky

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The role of imaging in defining cardiovascular risk to help cancer patient management: a scoping review - Insights into Imaging
Objective This scoping review explores the potential role of cancer-staging chest CT scans in assessing cardiovascular (CV) risk in cancer patients. It aims to evaluate: (1) the correlation between…
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March 19, 2025 at 10:00 AM
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With the goal of improving diagnostic precision and guiding personalized treatment planning, Hui Qu et al employed dynamic contrast enhanced #MRI to noninvasily predict the proliferative subtype of hepatocellular carcinoma

#InsightsintoImaging

insightsimaging.springeropen.com/articles/10....
May 28, 2025 at 9:02 AM
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Endometrial cancer is one of the most common cancers. The authors developed a clinical-radiomics deep learning model based on #MRI, finding it has the potential to distinguish endometrial cancer molecular subtypes (Yue et al.)

#InsightsintoImaging

insightsimaging.springeropen.com/articles/10....
June 18, 2025 at 9:02 AM
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This article underscores the pivotal role of #radiologists in the early detection and accurate diagnosis of interstitial #lung diseases induced by emerging #cancer therapies. (Julien Dinkel et al.)

#InsightsintoImaging #FromTheExperts

insightsimaging.springeropen.com/articles/10....
August 20, 2025 at 12:02 PM
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This study reveals the rapid growth of advanced CT techniques for several chest diseases, mapping research trends, key contributors, and future innovations in multi-energy CT and photon-counting CT. (Yufan Chen et al.)

#InsightsintoImaging #FromTheExperts

shorturl.at/yqiX6
August 27, 2025 at 12:02 PM
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#InsightsintoImaging

insightsimaging.springeropen.com/articles/10....
The value of a radiomics model in predicting ovarian malignancy: a retrospective multi-center comparison with O-RADS and radiologists - Insights into Imaging
Objectives To develop an MRI–based radiomics model for ovarian masses categorization and to compare the model performance to Ovarian-Adnexal Reporting and Data System (O-RADS) and radiologists’…
insightsimaging.springeropen.com
September 2, 2025 at 9:01 AM
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#InsightsintoImaging

insightsimaging.springeropen.com/articles/10....
Paraspinal muscles and gluteus medius fat infiltration are both associated with lumbar disc herniation - Insights into Imaging
Objectives To quantitatively assess the degeneration of paraspinal and pelvic muscles in patients with lumbar disc herniation (LDH) using MRI q-Dixon and to explore their potential association with…
insightsimaging.springeropen.com
September 19, 2025 at 9:01 AM
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Critical Review: The prognostic value of radiogenomics using CT in patients with #LungCancer. (Yixiao Jiang et al.)

#InsightsIntoImaging #Radiomics

Read the full review here 👇
insightsimaging.springeropen.com/articles/10....
November 27, 2024 at 9:07 AM
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This Critical Review elaborates extensively on the application of #radiomics in brain tumors, as well as discussing the current challenges and prospects concerning the interpretability of brain tumor radiomics (Wang et al.)

#InsightsintoImaging

insightsimaging.springeropen.com/articles/10....
May 14, 2025 at 9:02 AM
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🧠📈 New machine learning model using DCE-MRI radiomics + clinical data differentiates liver tumors:
⚡ HCC, ICC & HIPT (n=280, 3 centers)
✅ Fusion model AUC 0.93, accuracy 84.5%
💡 Key features: rim enhancement, hepatic lobe atrophy (Peng Xie et al.)

#InsightsintoImaging

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September 23, 2025 at 9:01 AM
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Happening now: the #InsightsIntoImaging Meet & Greet!

#ECR2025
#PlanetRadiology
#ESRJournals
February 28, 2025 at 1:35 PM
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Jacqueline I. Bereska et al. developed an auto-segmentation model for colorectal #cancer liver metastases (CRLM) on CT scans, achieving a high DICE score near near-perfect agreement for assessing total tumor volume (TTV).

#InsightsIntoImaging #RadSky

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December 12, 2024 at 10:00 AM
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Renal cell carcinoma (RCC) is one of the most common malignant tumors in the urinary tract. The authors outlined the potential of an interpretable #CT-based vision transformer biomarker for predicting the outcome of clear cell RCC (Kaiyue Zhi et al.)

#InsightsintoImaging

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June 10, 2025 at 10:02 AM
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The reliability of image-based recommendations in the prostate cancer pathway is partially dependent on #Prostate MRI image quality - Thijssen et al found that it is essential to improve the image quality of prostate MRIs

#InsightsintoImaging

insightsimaging.springeropen.com/articles/10....
May 20, 2025 at 9:02 AM
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This paper aims to help the radiologist acknowledge MRI pitfalls and the differential diagnosis of deep pelvic infiltrating endometriosis to reduce false-positive results. (Edouard Ruaux et al.) 3/3

#InsightsintoImaging #FromTheExperts

insightsimaging.springeropen.com/articles/10....
Endometriosis MR mimickers: T2-hypointense lesions - Insights into Imaging
Endometriosis is a common crippling disease in women of reproductive age. Magnetic resonance imaging (MRI) is considered the cornerstone radiological technique for both the diagnosis and management…
insightsimaging.springeropen.com
July 23, 2025 at 12:02 PM
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This Critical Review found that percutaneous cryoablation showed strong safety and efficacy in the treatment of abdominal wall endometriosis over the past decade, with significant pain reduction and low complication rates. (Sylvain Bodard et al.)

#InsightsIntoImaging

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December 17, 2024 at 10:00 AM
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🕯️ The 4th Sunday of #rAdvent has arrived and we're delighted to share this wonderful article from #InsightsIntoImaging with you, courtesy of Social Media Editorial team member @gennarodanna.bsky.social !

🧵 👇
December 22, 2024 at 10:00 AM
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This study by Tim Frederik Weber et al. found that structured oncology reports (SOR) for cancer follow-up assessments improved report quality and oncologist satisfaction compared to conventional reports.

#InsightsIntoImaging
#RadiologyAndBeyond
#Oncology

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January 8, 2025 at 11:00 AM