Insights into Imaging最新文献

{"title":"Women's perspectives on ultrasound as primary imaging modality for focal breast complaints: a qualitative study.","authors":"Carmen C N Siebers, Linda Appelman, Mette Palm, Linda Rainey, Mireille J M Broeders, Ritse M Mann","doi":"10.1186/s13244-025-01928-4","DOIUrl":"10.1186/s13244-025-01928-4","url":null,"abstract":"<p><strong>Objectives: </strong>The breast ultrasound trial (BUST) demonstrates a high negative predictive value of ultrasound for women presenting with focal breast complaints, suggesting a potential shift from mammography/digital breast tomosynthesis (DBT) to ultrasound as a primary imaging modality. This BUST side-study explored women's perspectives on adopting ultrasound as the primary diagnostic tool.</p><p><strong>Methods: </strong>Twenty-nine female BUST participants (mean age = 48.4, SD = 8.3) with benign findings after diagnostic evaluation participated in one of six focus group interviews 18-24 months post-imaging. Discussions were transcribed and analyzed thematically.</p><p><strong>Results: </strong>Four overarching themes were identified; personal health situation, organization of breast care, effectiveness of imaging, and professionals' attitudes and roles. Participants considered their own health history and complaint type (personal health situation) and discussed eligibility for national screening programs and the costs of both exams (organization of breast care). Opinions varied on the effectiveness of imaging, particularly regarding the importance of detecting additional non-symptomatic findings with mammography/DBT that may be missed by ultrasound. Concerns were also raised about implementing research findings without conclusive scientific evidence. Health professionals' attitudes and roles encompassed the influence of GPs' and radiologists' attitudes and the process of image interpretation.</p><p><strong>Conclusion: </strong>These findings reveal diverse attitudes of women towards ultrasound as a primary modality, warranting caution when transitioning to new clinical standards. Providing comprehensive information about the evidence on the benefits and risks of different imaging modalities is essential, and fostering shared decision-making could enhance acceptance. Offering women the choice of additional imaging, such as mammography/DBT after an initial ultrasound, may balance clinical performance with patient autonomy.</p><p><strong>Critical relevance statement: </strong>Patients' perspectives on medical procedures are increasingly significant in modern healthcare. Women's perceived barriers and facilitators to diagnostic imaging, shaped by numerous factors, offer healthcare professionals insights beyond pure biomedical approaches, fostering shared decision-making within radiology and other clinical contexts.</p><p><strong>Key points: </strong>This study explores women's perspectives on breast ultrasound as a primary imaging modality. Attitudes towards an ultrasound-first approach are shaped by internal and external considerations. Considerations are highly informed by emotional responses and lack of knowledge. Insights into women's perspectives inform healthcare professionals and foster shared decision-making within radiology.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"49"},"PeriodicalIF":4.1,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865384/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preoperative prediction of the Lauren classification in gastric cancer using automated nnU-Net and radiomics: a multicenter study.","authors":"Bo Cao, Jun Hu, Haige Li, Xuebing Liu, Chang Rong, Shuai Li, Xue He, Xiaomin Zheng, Kaicai Liu, Chuanbin Wang, Wei Guo, Xingwang Wu","doi":"10.1186/s13244-025-01923-9","DOIUrl":"10.1186/s13244-025-01923-9","url":null,"abstract":"<p><strong>Objectives: </strong>To develop and validate a deep learning model based on nnU-Net combined with radiomics to achieve autosegmentation of gastric cancer (GC) and preoperative prediction via the Lauren classification.</p><p><strong>Methods: </strong>Patients with a pathological diagnosis of GC were retrospectively enrolled in three medical centers. The nnU-Net autosegmentation model was developed using manually segmented datasets and evaluated by the Dice similarity coefficient (DSC). The CT images were processed by the nnU-Net model to obtain autosegmentation results and extract radiomic features. The least absolute shrinkage and selection operator (LASSO) method selects optimal features for calculating the Radscore and constructing a radiomic model. Clinical characteristics and the Radscore were integrated to construct a combined model. Model performance was evaluated via the receiver operating characteristic (ROC) curve.</p><p><strong>Results: </strong>A total of 433 GC patients were divided into the training set, internal validation set, external test set-1, and external test set-2. The nnU-Net model achieved a DSC of 0.79 in the test set. The areas under the curve (AUCs) of the internal validation set, external test set-1, and external test set-2 were 0.84, 0.83, and 0.81, respectively, for the radiomic model; and 0.81, 0.81, and 0.82, respectively, for the combined model. The AUCs of the radiomic and combined models showed no statistically significant difference (p > 0.05). The radiomic model was selected as the optimal model.</p><p><strong>Conclusions: </strong>The nnU-Net model can efficiently and accurately achieve automatic segmentation of GCs. The radiomic model can preoperatively predict the Lauren classification of GC with high accuracy.</p><p><strong>Critical relevance statement: </strong>This study highlights the potential of nnU-Net combined with radiomics to noninvasively predict the Lauren classification in gastric cancer patients, enhancing personalized treatment strategies and improving patient management.</p><p><strong>Key points: </strong>The Lauren classification influences gastric cancer treatment and prognosis. The nnU-Net model reduces doctors' manual segmentation errors and workload. Radiomics models aid in preoperative Lauren classification prediction for patients with gastric cancer.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"48"},"PeriodicalIF":4.1,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11861772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143500139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure.","authors":"Luis Martí-Bonmatí, Ignacio Blanquer, Manolis Tsiknakis, Gianna Tsakou, Ricard Martinez, Salvador Capella-Gutierrez, Sara Zullino, Janos Meszaros, Esther E Bron, Jose Luis Gelpi, Katrine Riklund, Linda Chaabane, Heinz-Peter Schlemmer, Mario Aznar, Patricia Serrano Candelas, Peter Gordebeke, Monika Hierath","doi":"10.1186/s13244-025-01913-x","DOIUrl":"10.1186/s13244-025-01913-x","url":null,"abstract":"<p><p>Artificial intelligence (AI) is a powerful technology with the potential to disrupt cancer detection, diagnosis and treatment. However, the development of new AI algorithms requires access to large and complex real-world datasets. Although such datasets are constantly being generated, access to them is limited by data fragmentation across numerous repositories and sites, heterogeneity, lack of annotations, and potential privacy issues. The European Cancer Imaging Initiative is a flagship of Europe's Beating Cancer Plan, aiming to unlock the power of AI for cancer patients, clinicians, and researchers by establishing a federated European infrastructure for cancer images through the EU-funded EUropean Federation for CAncer IMages (EUCAIM) project. This infrastructure, called Cancer Image Europe, builds on the AI for Health Imaging network (AI4HI), established European Research Infrastructures (Euro-BioImaging, BBMRI-ERIC, EATRIS, ECRIN, and ELIXIR), and numerous related partners providing access to research tools, images, and related clinical, pathology and molecular data. The infrastructure targets clinicians, researchers, and innovators by providing the means to develop and validate data-intensive AI-based and other IT-enabled clinical decision-making systems supporting precision medicine. Common data models, including a linking hyperontology, quality standards, compliance with the FAIR (Findability, Accessibility, Interoperability and Reusability) principles, data annotation, curation and anonymization services are provided to ensure data quality and interoperability, consistency and privacy. In summer 2024, the EUCAIM project released the first prototype of an EU-wide infrastructure, with a comprehensive dashboard integrating applications for dataset discovery, federated search, data access request, metadata harvesting, annotation, secure processing environments and federated processing. CRITICAL RELEVANCE STATEMENT: EUCAIM's federated infrastructure for cancer image data advances medical research and related AI development in Europe. It addresses the current fragmentation and heterogeneity of data repositories is legally compliant, and facilitates collaboration among clinicians, researchers, and innovators. KEY POINTS: AI solutions to advance cancer care rely on large, high-quality real-world datasets. EUCAIM's federated infrastructure for cancer image data empowers cancer research in Europe. It provides access to research tools, images, and related clinical, pathology and molecular data.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"47"},"PeriodicalIF":4.1,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850660/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hereditary multiple exostoses: an educational review.","authors":"Alvaro Rueda-de-Eusebio, Sara Gomez-Pena, María José Moreno-Casado, Gloria Marquina, Juan Arrazola, Ana María Crespo-Rodríguez","doi":"10.1186/s13244-025-01899-6","DOIUrl":"10.1186/s13244-025-01899-6","url":null,"abstract":"<p><p>Hereditary multiple exostoses (HME), an autosomal dominant disorder with an incidence of 1:50,000 to 1:100,000, is characterised by the formation of multiple osteochondromas arising from the metaphyses of long and flat bones. These osteochondromas often present as painless palpable lumps, though some cases are symptomatic due to mechanical compression or bursitis. Diagnosis of HME is typically clinical and radiological. WHO diagnostic criteria include ≥ 2 radiological osteochondromas in the juxta-epiphyseal region of the long bones. Genetic testing is reserved for ambiguous cases. HME is associated with mutations in the EXT-1 (exostosin-1) and EXT-2 (exostosin-2) genes. Imaging techniques, including conventional radiography, CT, MRI, ultrasound, and nuclear medicine, play a crucial role in diagnosing and assessing HME, with each modality offering distinct advantages in visualising the lesions and associated complications. Common complications include skeletal deformities, fractures, bursitis, as well as neural and vascular abnormalities. Notably, there is a 10% risk of malignant transformation into secondary chondrosarcoma in HME patients, compared to only a 1% risk in those with solitary osteochondromas. Malignant transformation should be suspected in patients with new-onset pain or specific imaging features in an osteochondroma, such as growth of de cartilaginous cap. In these cases, an MRI should be performed to assess the cartilage cap thickness. Advances in imaging techniques and genetic understanding have improved the management and prognosis of HME. Follow-up is essential to rule out malignant transformation. This review summarises current knowledge on the clinical presentation, pathogenesis, imaging characteristics, complications, and treatment of HME. CRITICAL RELEVANCE STATEMENT: HME is a disorder characterised by the formation of osteochondromas arising from long and flat bones. Multi-modality imaging characteristics, clinical presentation, complications, and treatment are highlighted to familiarise the readers with this entity and offer optimal patient care. KEY POINTS: HME is characterised by multiple osteochondromas on long and flat bones. Imaging for HME includes radiography, CT, MRI, ultrasound, and nuclear medicine studies. Complications include non-malignant complications, such as bone deformities and malignant transformation. Cartilage-cap measurement with MRI or US is key to exclude malignancy. Follow-up is essential to rule out malignant transformation of the osteochondromas.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"46"},"PeriodicalIF":4.1,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11845651/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143467981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiofrequency ablation for peribiliary hepatocellular carcinoma: propensity score matching analysis.","authors":"Jin Cui, Xinzi Sui, Kaiwen Liu, Min Huang, Yuanwen Zheng, Xinya Zhao, Gongzheng Wang, Ximing Wang","doi":"10.1186/s13244-025-01919-5","DOIUrl":"10.1186/s13244-025-01919-5","url":null,"abstract":"<p><strong>Objectives: </strong>At present, there are no established clinical guidelines for radiofrequency ablation (RFA) of peribiliary hepatocellular carcinoma (HCC). Therefore, the aim of this study was to compare the long-term outcomes of RFA for peribiliary vs. non-peribiliary HCC.</p><p><strong>Methods: </strong>This retrospective study included 282 patients with peribiliary HCC (n = 109) or non-peribiliary HCC (n = 173) who received RFA between February 2013 and May 2021. Local tumor progression (LTP), overall survival (OS), disease-free survival (DFS), and complications were compared before and after propensity score matching (PSM).</p><p><strong>Results: </strong>Before PSM, there were no significant differences in 5-year LTP rates (26.3% vs. 23.6%, p = 0.602), OS rates (56.6% vs. 68.0%, p = 0.586), or DFS rates (22.9% vs. 25.7%, p = 0.239) between the peribiliary and non-peribiliary groups. After PSM, there were no significant differences in the 1-, 3-, and 5-year LTP rates (13.0%, 23.1%, and 26.3% vs. 12.1%, 25.1%, and 28.2%, respectively, p = 0.857), OS rates (97.2%, 73.5%, and 56.6% vs. 95.3%, 79.5%, and 70.6%, p = 0.727), or DFS rates (59.4%, 29.4%, and 22.9% vs. 64.2%, 33.1%, and 23.8%, p = 0.568) between the peribiliary non-peribiliary groups. Peribiliary location was not a significant prognostic factor for LTP (p = 0.622) or OS (p = 0.587). In addition, mild intrahepatic bile duct dilatation was more frequent in the peribiliary group (9.2% vs. 2.8%, p = 0.045).</p><p><strong>Conclusion: </strong>Long-term outcomes of RFA were similar for peribiliary and non-peribiliary HCC. RFA is a viable alternative for treatment of peribiliary HCC.</p><p><strong>Critical relevance statement: </strong>The local tumor progression (LTP), overall survival (OS), and disease-free survival (DFS) rates after radiofrequency ablation (RFA) were similar for peribiliary and non-peribiliary hepatocellular carcinoma (HCC).</p><p><strong>Key points: </strong>There are currently no clinical guidelines for radiofrequency ablation (RFA) of peribiliary hepatocellular carcinoma (HCC). Local tumor progression, overall survival, and disease-free survival after RFA were similar for peribiliary and non-peribiliary HCC. RFA is a viable alternative for the treatment of peribiliary HCC.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"45"},"PeriodicalIF":4.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11839967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143457949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of virtual monoenergetic reconstructions on coronary CT angiography-based fractional flow reserve with photon-counting detector CT: intra-individual comparison with energy-integrating detector CT.","authors":"Giuseppe Tremamunno, Daniel Pinos, Emese Zsarnoczay, U Joseph Schoepf, Milan Vecsey-Nagy, Chiara Gnasso, Nicola Fink, Dmitrij Kravchenko, Muhammad Taha Hagar, Joseph Griffith, Jim O'Doherty, Andrea Laghi, Tilman Emrich, Akos Varga-Szemes","doi":"10.1186/s13244-025-01927-5","DOIUrl":"10.1186/s13244-025-01927-5","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to assess the impact of the photon-counting detector (PCD)-CT-based virtual monoenergetic image (VMI) reconstruction keV levels on CT-based fractional flow reserve (CT-FFR), compared to the energy-integrating detector (EID)-CT.</p><p><strong>Methods: </strong>Patients undergoing clinically indicated coronary CT angiography (CCTA) on an EID-CT were prospectively enrolled for a research CCTA on a PCD-CT within 30 days. PCD-CT datasets were reconstructed at VMI levels of 45, 55, 70, and 90 keV. CT-FFR was obtained semiautomatically using an on-site machine learning algorithm by two readers. CT-FFR ≤ 0.80 was considered hemodynamically significant.</p><p><strong>Results: </strong>A total of 20 patients (63.3 ± 8.8 years; 13 men (65%) were included. Median CT-FFR values in the per-vessel analysis for PCD-CT scans were 0.86 (0.81-0.92) for 45 keV, 0.87 (0.80-0.93) for 55 keV, 0.85 (0.79-0.92) for 70 keV and 0.82 (0.76-0.89) for 90 keV, and 0.86 (0.71-0.93) for EID-CT. Comparison among different VMIs showed significant differences only for 45 vs. 90 keV (p < 0.001), and 55 vs. 90 keV (p < 0.001). No significant differences were found in the pairwise comparison between any VMI and EID-CT (all p > 0.05). PCD-CT at 70 keV showed the highest correlation (r = 0.83, p < 0.001), agreement (ICC: 0.90 (0.84-0.94)), and the lowest bias (mean bias -0.01; limits of agreement, 0.84/0.94) when compared to EID-CT.</p><p><strong>Conclusion: </strong>VMI reconstructions showed significant influence on CT-FFR values only at the extreme levels of the spectrum, while no significant differences were found in comparison with EID-CT. VMI at 70 keV demonstrates the highest correlation and agreement, with the lowest bias compared to EID-CT.</p><p><strong>Critical relevance statement: </strong>Evidence on novel spectral photon-counting detector (PCD)-CT's impact on CT-fractional flow reserve (FFR) is limited; our results demonstrate the feasibility of CT-FFR using PCD-CT, showing no significant differences between various virtual monoenergetic images and energy-integrating detector (EID)-CT values KEY POINTS: The impact of spectral photon-counting detector (PCD)-CT on CT-derived fractional flow reserve (CT-FFR) is unclear. Spectral PCD-CT-based CT-FFR is feasible, differing only at extreme virtual monoenergetic image levels. CT-FFR from PCD-CT at 70 keV showed the strongest correlation with energy-integrating detector-CT.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"36"},"PeriodicalIF":4.1,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11832851/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143440722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the perceived impact of ESOR training programs on radiologists' professional development.","authors":"Jules Grégory, Mathias Kofoed-Ottesen, Brigitte Lindlbauer, Christian Loewe, Valérie Vilgrain","doi":"10.1186/s13244-024-01891-6","DOIUrl":"10.1186/s13244-024-01891-6","url":null,"abstract":"<p><strong>Objectives: </strong>This study evaluates the perceived impact of European School of Radiology (ESOR) training programs on radiologists' professional development.</p><p><strong>Methods: </strong>A cross-sectional survey targeted alumni who participated in ESOR fellowships from 2011 to 2023. The survey included questions on demographics, professional background, ESOR program details, and career impact. Data were collected via a web-based questionnaire and analyzed using descriptive statistics and thematic analysis.</p><p><strong>Results: </strong>A total of 916 alumni were invited to the survey, with a response rate of 21% (190 participants). The median age was 31 years (range 29-33), and 54% were female. Most worked in public healthcare (62%) and were involved in academic activities (24%). Fellowship types included the visiting scholarship program (44%), Bracco fellowship (32%), and exchange program for fellowships (25%). The majority (59%) reported the fellowship helped them reach their current position, and 35% noted it upgraded their CV. Significant application of learned skills was reported by 69%. Ongoing cooperation with former tutors was maintained by 54%. Financial support was crucial, with 41% stating they could not have completed the training without it, 33% considering it very important, and 13% important. Participants rated the impact on clinical skills with a median score of 9/10. Other areas of impact included research skills (median 7/10), subspecialization (median 9/10), exposure to diverse practices (median 9/10), networking (median 10/10), and personal and professional growth (median 10/10).</p><p><strong>Conclusion: </strong>ESOR training programs significantly enhance radiologists' professional development through comprehensive support, high-quality training, and substantial financial aid, ensuring participants are well-equipped for career advancement.</p><p><strong>Critical relevance statement: </strong>This study evaluates the perceived impact of ESOR training programs on radiologists' professional development, highlighting significant enhancements in clinical skills, career advancement, and the critical role of financial support in facilitating access to high-quality education.</p><p><strong>Key points: </strong>The ESOR offers various programs addressing both foundational and advanced training in radiology. Fifty-nine percent of participants reported that ESOR fellowships helped them achieve their current positions. Participants experienced a median improvement score of 9 out of 10 in clinical skills. Fifty-four percent of participants maintained ongoing cooperation with former tutors post-fellowship. ESOR financial support was perceived as crucial by many participants, ensuring access to high-quality education.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"34"},"PeriodicalIF":4.1,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11833024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143440700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mullerian anomalies: revisiting imaging and classification.","authors":"Rashmi Dixit, Chitty Suvarna Duggireddy, Gaurav Shanker Pradhan","doi":"10.1186/s13244-024-01879-2","DOIUrl":"10.1186/s13244-024-01879-2","url":null,"abstract":"<p><p>Mullerian duct anomalies (MDA) are a group of uncommon but treatable causes of infertility and pregnancy complications. This review describes the embryology, American Society of Reproductive Medicine (ASRM) classification 2021, and corresponding imaging features of MDA. The three phases of embryological development of Mullerian duct structures are described. The main emphasis is on the ASRM 2021 classification of MDA into nine descriptive categories, while the European Society of Human Reproduction and Embryology and the European Society for Gynecologic Endoscopy (ESHRE/ESGE) classification is also briefly described where necessary. MRI imaging features of MDA along with the acquisition techniques are discussed in detail, as MRI is the ideal imaging modality for MDA diagnosis. In addition, the current role of imaging modalities such as hysterosalpingography and ultrasound including 3D transvaginal ultrasound is also elucidated. The review aims to revisit the MRI imaging features of Mullerian anomalies and reiterates that an accurate description of each anomaly and precise communication with clinicians is the priority rather than rigidly fitting the anomaly into one particular category. CRITICAL RELEVANCE STATEMENT: The ASRM 2021 classification of Mullerian anomalies has re-defined the criteria for an arcuate uterus. Radiologists must know of the new classification and imaging features and try to describe each anomaly accurately rather than forcefully fitting an anomaly into a definite category. KEY POINTS: MDA has an important role in infertility and pregnancy complications. Knowledge of imaging features helps radiologists aid patient management; MRI is the preferred imaging modality for MDAs. An accurate MRI-based description of Mullerian anomalies is crucial, avoiding the pitfalls of rigid categorization.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"40"},"PeriodicalIF":4.1,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11832971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143440725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Charting a sustainable future in radiology: evaluating radiologists' knowledge, attitudes, and practices toward environmental responsibility.","authors":"Mohamed M Abuzaid, Nora Almuqbil","doi":"10.1186/s13244-025-01917-7","DOIUrl":"10.1186/s13244-025-01917-7","url":null,"abstract":"<p><strong>Objectives: </strong>This study assesses radiologists' knowledge, attitudes, and practices regarding healthcare sustainability. With radiology's substantial environmental impact, sustainable practices are crucial to reduce energy use, waste, and resource depletion. The study evaluates radiologists' awareness, engagement, and perceived barriers to sustainable practices in the UAE, identifying areas for improvement and intervention.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted among UAE radiologists in hospitals, clinics, and medical centers from August to October 2024. Developed and piloted by the research team, the survey addressed demographic details, sustainability knowledge, attitudes, current practices, and implementation barriers. Convenience sampling yielded 111 responses, analyzed using descriptive and inferential statistics to identify trends and associations.</p><p><strong>Results: </strong>The findings indicate moderate knowledge levels, with 31.8% of radiologists agreeing to understand sustainability concepts. While 36.4% strongly agreed on its importance, only 20% felt it was prioritized at their workplace. Key barriers included lack of training (40.5% agreed, 29.7% strongly agreed) and insufficient financial support (37.8% agreed, 25.2% strongly agreed). Digital documentation and waste-reduction practices were observed but varied in consistency.</p><p><strong>Conclusion: </strong>Radiologists display a positive attitude toward sustainability but face significant implementation barriers, primarily in institutional support and resources. Addressing training gaps and increasing leadership commitment are essential to advancing sustainable practices. Future initiatives should emphasize policy support, education, and resource allocation to foster a sustainable radiology sector.</p><p><strong>Critical relevance statement: </strong>This article critically examines radiologists' knowledge, attitudes, and barriers to sustainable practices, highlighting the need for institutional support and targeted training to advance environmental responsibility and sustainable practices within clinical radiology.</p><p><strong>Key points: </strong>Radiologists support sustainability but lack knowledge of specific practices. Key challenges include limited training, support, and funding. Commitment, training, and resources are essential for sustainable radiology.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"39"},"PeriodicalIF":4.1,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11832974/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143440703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tumour surface regularity predicts survival and benefit from gross total resection in IDH-wildtype glioblastoma patients.","authors":"Peng Lin, Jin-Shu Pang, Ya-Dan Lin, Qiong Qin, Jia-Yi Lv, Gui-Qian Zhou, Tian-Ming Tan, Wei-Jia Mo, Gang Chen","doi":"10.1186/s13244-025-01900-2","DOIUrl":"10.1186/s13244-025-01900-2","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the ability of sphericity in glioblastomas (GBMs) for predicting overall survival (OS) and the survival benefit from gross tumour resection (GTR).</p><p><strong>Methods: </strong>Preoperative MRI scans were retrospectively analysed in IDH-wildtype GBM patients from two datasets. After MRI preprocessing and tumour segmentation, tumour sphericity was calculated based on the tumour core region. The prognostic value of tumour surface regularity was evaluated via Kaplan-Meier (K-M) plots, univariate and multivariate Cox proportional hazards analyses. In different surface regularity subgroups, the OS benefit from GTR was evaluated via K-M plots and the restricted mean survival time (RMST).</p><p><strong>Results: </strong>This study included 367 patients (median age, 62.0 years [IQR, 54.5-70.5 years]) in the discovery cohort and 475 patients (median age, 63.6 years [IQR, 56.2-71.3 years]) in the validation cohort. Sphericity was an independent predictor of OS in the discovery (p = 0.022, hazard ratio (HR) = 1.45, 95% confidence interval (CI) 1.06-1.99) and validation groups (p = 0.007, HR = 1.38, 95% CI: 1.09-1.74) according to multivariate analysis. Age, extent of resection, and surface regularity composed a prognostic model that separated patients into subgroups with distinct prognoses. Patients in the surface-irregular subgroup benefited from GTR, but patients in the surface-regular subgroup did not in the discovery (p < 0.001 vs. p = 0.056) and validation datasets (p < 0.001 vs. p = 0.11).</p><p><strong>Conclusions: </strong>The high surface regularity of IDH-wildtype GBM is significantly correlated with better OS and does not benefit substantially from GTR.</p><p><strong>Critical relevance statement: </strong>The proposed imaging marker has the potential to increase the survival prediction efficacy for IDH-wildtype glioblastomas (GBMs), offering a valuable indicator for clinical decision-making.</p><p><strong>Key points: </strong>Sphericity is an independent prognostic factor in IDH-wildtype glioblastomas (GBMs). High sphericity in IDH-wildtype GBM is significantly correlated with better survival. GBM patients with low sphericity could receive survival benefits from gross tumour resection.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"16 1","pages":"42"},"PeriodicalIF":4.1,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11833034/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143440709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}