Pub Date : 2026-02-10DOI: 10.1007/s10140-026-02443-9
Zahra F Rahmatullah, Satomi Kawamoto, Elliot K Fishman
Primary small bowel malignancies are rare, often presenting with nonspecific symptoms or as acute emergencies, which can delay diagnosis. Contrast-enhanced CT is the primary imaging modality in the emergency setting, but detection and characterization of small bowel tumors remain challenging. Cinematic rendering (CR) is a recently developed three-dimensional post-processing technique that produces photorealistic images from CT data, enhancing visualization of small bowel pathology. This pictorial review outlines the CT imaging features of major small bowel malignancies, including adenocarcinoma, carcinoid tumor, gastrointestinal stromal tumor, lymphoma, and sarcoma, and describes features that highlight the utility of CR in augmenting traditional imaging. CR offers improved visualization of mucosal abnormalities, tumor extent, vascular involvement, and textural differences, potentially increasing diagnostic confidence, supporting presurgical planning, and facilitating communication among clinicians and patients. By emphasizing the added value of CR, we aim to provide radiologists with practical guidance for identifying small bowel neoplasms and suggest that integrating advanced 3D visualization into routine CT evaluation can support timely diagnosis and management in acute care settings.
{"title":"Augmenting CT evaluation of primary small bowel malignancies: The role of cinematic rendering.","authors":"Zahra F Rahmatullah, Satomi Kawamoto, Elliot K Fishman","doi":"10.1007/s10140-026-02443-9","DOIUrl":"https://doi.org/10.1007/s10140-026-02443-9","url":null,"abstract":"<p><p>Primary small bowel malignancies are rare, often presenting with nonspecific symptoms or as acute emergencies, which can delay diagnosis. Contrast-enhanced CT is the primary imaging modality in the emergency setting, but detection and characterization of small bowel tumors remain challenging. Cinematic rendering (CR) is a recently developed three-dimensional post-processing technique that produces photorealistic images from CT data, enhancing visualization of small bowel pathology. This pictorial review outlines the CT imaging features of major small bowel malignancies, including adenocarcinoma, carcinoid tumor, gastrointestinal stromal tumor, lymphoma, and sarcoma, and describes features that highlight the utility of CR in augmenting traditional imaging. CR offers improved visualization of mucosal abnormalities, tumor extent, vascular involvement, and textural differences, potentially increasing diagnostic confidence, supporting presurgical planning, and facilitating communication among clinicians and patients. By emphasizing the added value of CR, we aim to provide radiologists with practical guidance for identifying small bowel neoplasms and suggest that integrating advanced 3D visualization into routine CT evaluation can support timely diagnosis and management in acute care settings.</p>","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146149319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-07DOI: 10.1007/s10140-026-02437-7
Julius Husarek, Anika M C Fuchss, Thomas D Ruder, Stavroula Mougiakakou, Aristomenis Exadaktylos, Katharina Wahedi, Martin Müller
<p><p>Rising patient volumes, the increasing use of computed tomography (CT) imaging in emergency departments and the resulting prolonged waiting times highlight the urgent need for efficient and accurate diagnostic tools, especially given that the number of experienced healthcare professionals is not increasing at the same pace. Artificial intelligence (AI) has emerged as a promising tool to support fracture detection on CT scans, with the potential to streamline diagnostic workflows in emergency care. However, concerns exist regarding dataset bias, limited external testing, and methodological variability. This systematic review and diagnostic test accuracy (DTA) meta-analysis aimed to comprehensively assess the diagnostic accuracy of AI-driven fracture detection solutions, with a particular focus on the effect of the testing strategy, cohort composition and commercial availability on diagnostic accuracy. The Cochrane Handbook for Systematic Reviews of DTA and reported according to PRISMA-DTA guidelines were followed. We systematically searched Embase, MEDLINE, Cochrane Library, Web of Science, and Google Scholar for studies published from January 2010 onward, complemented by citation chasing and manual searches for commercial AI fracture detection solutions (CAAI-FDS). Two reviewers independently conducted study selection, data extraction, and risk of bias assessment using a modified QUADAS-2 tool. Statistical analysis was conducted using STATA 18.1 and the -metadta- command. Primary analyses evaluated diagnostic accuracy (sensitivity and specificity) of stand-alone AI based on (1) cohort type (selected vs. unselected), (2) test dataset origin (internal vs. external), and (3) level of analysis (patient-wise, vertebra-wise, rib-wise). Secondary analyses explored accuracy differences according to (1) CAAI-FDS, (2) anatomical region and (3) reader type (stand-alone AI, human unaided, human aided by AI). Forest plots visualized results, and heterogeneity was measured using generalized I<sup>2</sup> statistics. Out of 7683 identified articles, 44 studies were included for meta-analysis. 14 CAAI-FDS were identified. Primary analyses of stand-alone AI showed moderate sensitivity (0.85, 95% CI: 0.77, 0.90) and good specificity (0.92, 95% CI: 0.87, 0.95) in unselected patient cohorts, whereas selected cohorts achieved slightly higher sensitivity (0.89, 95% CI: 0.80, 0.94). Diagnostic accuracy was higher when studies used internal test datasets (sensitivity 0.94, 95% CI: 0.88, 0.97; specificity 0.91, 95% CI: 0.86, 0.94) compared to external test datasets (sensitivity 0.85, 95% CI: 0,77, 0.91; specificity 0.92, 95% CI: 0.89, 0.95). Vertebra- and rib-wise analyses achieved higher specificity (0.98) compared to patient-wise analysis (0.92, 95% CI: 0.89, 0.95), although sensitivity remained moderate across all levels (0.85-0.89). Secondary analyses showed variability among CAAI-FDS (sensitivities 0.68-0.80; specificities 0.87-0.97) and by anatomical region,
{"title":"Artificial intelligence for fracture detection on computed tomography: a comprehensive systematic review and meta-analysis of diagnostic test accuracy in non-commercial and commercial solutions.","authors":"Julius Husarek, Anika M C Fuchss, Thomas D Ruder, Stavroula Mougiakakou, Aristomenis Exadaktylos, Katharina Wahedi, Martin Müller","doi":"10.1007/s10140-026-02437-7","DOIUrl":"https://doi.org/10.1007/s10140-026-02437-7","url":null,"abstract":"<p><p>Rising patient volumes, the increasing use of computed tomography (CT) imaging in emergency departments and the resulting prolonged waiting times highlight the urgent need for efficient and accurate diagnostic tools, especially given that the number of experienced healthcare professionals is not increasing at the same pace. Artificial intelligence (AI) has emerged as a promising tool to support fracture detection on CT scans, with the potential to streamline diagnostic workflows in emergency care. However, concerns exist regarding dataset bias, limited external testing, and methodological variability. This systematic review and diagnostic test accuracy (DTA) meta-analysis aimed to comprehensively assess the diagnostic accuracy of AI-driven fracture detection solutions, with a particular focus on the effect of the testing strategy, cohort composition and commercial availability on diagnostic accuracy. The Cochrane Handbook for Systematic Reviews of DTA and reported according to PRISMA-DTA guidelines were followed. We systematically searched Embase, MEDLINE, Cochrane Library, Web of Science, and Google Scholar for studies published from January 2010 onward, complemented by citation chasing and manual searches for commercial AI fracture detection solutions (CAAI-FDS). Two reviewers independently conducted study selection, data extraction, and risk of bias assessment using a modified QUADAS-2 tool. Statistical analysis was conducted using STATA 18.1 and the -metadta- command. Primary analyses evaluated diagnostic accuracy (sensitivity and specificity) of stand-alone AI based on (1) cohort type (selected vs. unselected), (2) test dataset origin (internal vs. external), and (3) level of analysis (patient-wise, vertebra-wise, rib-wise). Secondary analyses explored accuracy differences according to (1) CAAI-FDS, (2) anatomical region and (3) reader type (stand-alone AI, human unaided, human aided by AI). Forest plots visualized results, and heterogeneity was measured using generalized I<sup>2</sup> statistics. Out of 7683 identified articles, 44 studies were included for meta-analysis. 14 CAAI-FDS were identified. Primary analyses of stand-alone AI showed moderate sensitivity (0.85, 95% CI: 0.77, 0.90) and good specificity (0.92, 95% CI: 0.87, 0.95) in unselected patient cohorts, whereas selected cohorts achieved slightly higher sensitivity (0.89, 95% CI: 0.80, 0.94). Diagnostic accuracy was higher when studies used internal test datasets (sensitivity 0.94, 95% CI: 0.88, 0.97; specificity 0.91, 95% CI: 0.86, 0.94) compared to external test datasets (sensitivity 0.85, 95% CI: 0,77, 0.91; specificity 0.92, 95% CI: 0.89, 0.95). Vertebra- and rib-wise analyses achieved higher specificity (0.98) compared to patient-wise analysis (0.92, 95% CI: 0.89, 0.95), although sensitivity remained moderate across all levels (0.85-0.89). Secondary analyses showed variability among CAAI-FDS (sensitivities 0.68-0.80; specificities 0.87-0.97) and by anatomical region, ","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146131422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-07DOI: 10.1007/s10140-026-02441-x
Ludolf G A De Kock, Ronan J Lee, David O Adebayo, Patrick D Mclaughin, Eanna MacSuibhne, Michael M Maher, David J Ryan
Medical imaging plays a central role in the management of trauma patients. Analytic morphomics (AM) through enabling measurement of specific biological markers of body composition from medical images is emerging as a potential tool to predict patient outcomes across multiple medical and surgical disciplines. We sought to provide a comprehensive review of the utility of AM in predicting outcomes in trauma patients. A systematic review with a narrative synthesis was conducted following the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines and checklists. PubMed, Embase, Scopus, The Cochrane Library as well as Web of Science and Trip database were searched for studies that assessed the relationship between computed tomography-based AM parameters and clinical outcomes in patients from a trauma cohort. Multiple AM domains, including lumbar muscle quantity and quality, adiposity, craniofacial measurements, and opportunistic bone mineral density (BMD), were consistently associated with adverse outcomes including mortality, length of stay, complications, and functional recovery. CT-derived AM metrics provide valuable prognostic information in trauma populations, extending beyond conventional measures such as chronological age and injury severity scores.Registration: PROSPERO Registration ID: CRD420251112652.
医学影像在创伤患者的治疗中起着核心作用。分析形态组学(AM)通过从医学图像中测量身体成分的特定生物标记物,正在成为预测多个医学和外科学科患者预后的潜在工具。我们试图对AM在预测创伤患者预后方面的应用进行全面回顾。按照系统评价和荟萃分析的首选报告项目(PRISMA)指南和清单进行了系统评价和叙述性综合评价。检索PubMed, Embase, Scopus, Cochrane Library以及Web of Science和Trip数据库,以评估基于计算机断层扫描的AM参数与创伤队列患者临床结果之间关系的研究。多个AM域,包括腰肌数量和质量、肥胖、颅面测量和机会性骨矿物质密度(BMD),始终与包括死亡率、住院时间、并发症和功能恢复在内的不良结果相关。ct衍生的AM指标在创伤人群中提供了有价值的预后信息,超出了传统的测量方法,如实足年龄和损伤严重程度评分。注册:普洛斯彼罗注册号:CRD420251112652。
{"title":"Computed tomography derived analytic morphomics as predictors of clinical outcomes in trauma: a systematic narrative review.","authors":"Ludolf G A De Kock, Ronan J Lee, David O Adebayo, Patrick D Mclaughin, Eanna MacSuibhne, Michael M Maher, David J Ryan","doi":"10.1007/s10140-026-02441-x","DOIUrl":"https://doi.org/10.1007/s10140-026-02441-x","url":null,"abstract":"<p><p>Medical imaging plays a central role in the management of trauma patients. Analytic morphomics (AM) through enabling measurement of specific biological markers of body composition from medical images is emerging as a potential tool to predict patient outcomes across multiple medical and surgical disciplines. We sought to provide a comprehensive review of the utility of AM in predicting outcomes in trauma patients. A systematic review with a narrative synthesis was conducted following the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines and checklists. PubMed, Embase, Scopus, The Cochrane Library as well as Web of Science and Trip database were searched for studies that assessed the relationship between computed tomography-based AM parameters and clinical outcomes in patients from a trauma cohort. Multiple AM domains, including lumbar muscle quantity and quality, adiposity, craniofacial measurements, and opportunistic bone mineral density (BMD), were consistently associated with adverse outcomes including mortality, length of stay, complications, and functional recovery. CT-derived AM metrics provide valuable prognostic information in trauma populations, extending beyond conventional measures such as chronological age and injury severity scores.Registration: PROSPERO Registration ID: CRD420251112652.</p>","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146131576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1007/s10140-025-02433-3
Ritika Revoori, Joel Kevin Raj Samuel, Ajay K Singh
Purpose: Intracranial dermoid cysts are rare, benign congenital lesions that can rupture spontaneously, leading to dissemination of fatty contents within the subarachnoid or ventricular spaces. Though often asymptomatic, rupture can produce a range of neurological symptoms and distinct imaging features. We aim to evaluate the clinical presentation, imaging characteristics, and outcomes of patients with ruptured intracranial dermoid cysts.
Methods: We conducted a retrospective review of patients diagnosed with ruptured intracranial dermoid cysts at a tertiary academic medical center from July 1997 to July 2024. Rupture was confirmed by the presence of fat droplets in the CSF spaces on CT and/or MRI. Imaging findings were independently reviewed by two radiologists.
Results: Twenty-two patients (14 female, 8 male; mean age 51.7 years) met inclusion criteria. The most common presenting symptoms were headaches (31.8%). Imaging revealed intraventricular fat in 72.7% of cases and subarachnoid fat in 81.8%, with visible primary cysts in 31.8%. MRI findings included T1 hyperintense fat droplets in all cases, hypointense rims on T2 in 35% of cases, and susceptibility signal loss on SWI in 71%. Follow-up imaging (available in 14 cases) did not show complete resolution of fat droplets, though a reduction in the number of droplets was observed over time.
Conclusion: Ruptured intracranial dermoid cysts are rare but recognizable by their characteristic imaging features, particularly on T1-weighted MRI. While symptoms often improve, residual fat globules persist for years.
{"title":"Ruptured intracranial dermoid cysts: Imaging at acute presentation and follow-up.","authors":"Ritika Revoori, Joel Kevin Raj Samuel, Ajay K Singh","doi":"10.1007/s10140-025-02433-3","DOIUrl":"https://doi.org/10.1007/s10140-025-02433-3","url":null,"abstract":"<p><strong>Purpose: </strong>Intracranial dermoid cysts are rare, benign congenital lesions that can rupture spontaneously, leading to dissemination of fatty contents within the subarachnoid or ventricular spaces. Though often asymptomatic, rupture can produce a range of neurological symptoms and distinct imaging features. We aim to evaluate the clinical presentation, imaging characteristics, and outcomes of patients with ruptured intracranial dermoid cysts.</p><p><strong>Methods: </strong>We conducted a retrospective review of patients diagnosed with ruptured intracranial dermoid cysts at a tertiary academic medical center from July 1997 to July 2024. Rupture was confirmed by the presence of fat droplets in the CSF spaces on CT and/or MRI. Imaging findings were independently reviewed by two radiologists.</p><p><strong>Results: </strong>Twenty-two patients (14 female, 8 male; mean age 51.7 years) met inclusion criteria. The most common presenting symptoms were headaches (31.8%). Imaging revealed intraventricular fat in 72.7% of cases and subarachnoid fat in 81.8%, with visible primary cysts in 31.8%. MRI findings included T1 hyperintense fat droplets in all cases, hypointense rims on T2 in 35% of cases, and susceptibility signal loss on SWI in 71%. Follow-up imaging (available in 14 cases) did not show complete resolution of fat droplets, though a reduction in the number of droplets was observed over time.</p><p><strong>Conclusion: </strong>Ruptured intracranial dermoid cysts are rare but recognizable by their characteristic imaging features, particularly on T1-weighted MRI. While symptoms often improve, residual fat globules persist for years.</p>","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146124293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1007/s10140-025-02434-2
Lauren E Mak, Hugo Andrade Barazarte, David Volders, Daniel M Mandell, Eef J Hendriks
Purpose: Subarachnoid hemorrhage (SAH) due to a ruptured intracranial aneurysm is a neurologic emergency with diagnostic and management challenges. While traditional imaging techniques such as CT angiography and digital subtraction angiography remain essential, they may be inconclusive at identifying the culprit aneurysm when multiple aneurysms are present.
Methods/results: We present a patient with SAH and four intracranial aneurysms identified on initial CT angiogram. MR vessel wall imaging (VW-MRI) played a pivotal role: it revealed focal wall enhancement in the basilar tip aneurysm, guiding successful targeted balloon assisted coiling.
Conclusion: This case illustrates the value of VW-MRI in identifying ruptured aneurysms by assessing wall abnormality rather than just lumen morphology. VW-MRI employs high-resolution, black-blood MR techniques to visualize vessel wall pathology. Our findings support integrating VWI into acute management algorithms when conventional imaging is inconclusive, potentially improving diagnostic accuracy and outcomes in patients with complex aneurysmal SAH presentations.
{"title":"Intracranial vessel wall MRI to identify the culprit aneurysm in subarachnoid hemorrhage with multiple intracranial aneurysms.","authors":"Lauren E Mak, Hugo Andrade Barazarte, David Volders, Daniel M Mandell, Eef J Hendriks","doi":"10.1007/s10140-025-02434-2","DOIUrl":"https://doi.org/10.1007/s10140-025-02434-2","url":null,"abstract":"<p><strong>Purpose: </strong>Subarachnoid hemorrhage (SAH) due to a ruptured intracranial aneurysm is a neurologic emergency with diagnostic and management challenges. While traditional imaging techniques such as CT angiography and digital subtraction angiography remain essential, they may be inconclusive at identifying the culprit aneurysm when multiple aneurysms are present.</p><p><strong>Methods/results: </strong>We present a patient with SAH and four intracranial aneurysms identified on initial CT angiogram. MR vessel wall imaging (VW-MRI) played a pivotal role: it revealed focal wall enhancement in the basilar tip aneurysm, guiding successful targeted balloon assisted coiling.</p><p><strong>Conclusion: </strong>This case illustrates the value of VW-MRI in identifying ruptured aneurysms by assessing wall abnormality rather than just lumen morphology. VW-MRI employs high-resolution, black-blood MR techniques to visualize vessel wall pathology. Our findings support integrating VWI into acute management algorithms when conventional imaging is inconclusive, potentially improving diagnostic accuracy and outcomes in patients with complex aneurysmal SAH presentations.</p>","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146051001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1007/s10140-025-02430-6
Nitin Menon, Fatima Mohamed, Rachael Hutchinson, Rob A Dineen
{"title":"Shelf-inflicted head injuries.","authors":"Nitin Menon, Fatima Mohamed, Rachael Hutchinson, Rob A Dineen","doi":"10.1007/s10140-025-02430-6","DOIUrl":"https://doi.org/10.1007/s10140-025-02430-6","url":null,"abstract":"","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145984656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-09DOI: 10.1007/s10140-025-02431-5
Saeed Rahmani, Caroline Merriam DO, Quoc-Huy Ly, Amir Mahmoud Ahmadzadeh, Reza Zahedpasha, Muhammad Ahsan Asif, Ahmed Kertam, Long H Tu
Autologous breast reconstruction using donor-site flaps such as the deep inferior epigastric perforator (DIEP) flap, transverse rectus abdominis myocutaneous (TRAM) flap, latissimus dorsi flap, profunda artery perforator (PAP) flap, and autologous fat grafting is a cornerstone of post-mastectomy reconstruction, offering durable results and significant psychosocial benefits. Despite these advantages, donor site complications are common and can pose diagnostic challenges for radiologists. This pictorial review illustrates the spectrum of these complications, including seroma, hematoma, infection, fat necrosis, abdominal wall bulges and hernias, wound dehiscence focusing on their characteristic appearances across variety of modalities, primarily focused on computed tomography (CT), though also including radiography, ultrasound, and magnetic resonance imaging (MRI). By integrating surgical context with multimodality imaging features, this review provides practical guidance to distinguish expected postoperative changes from clinically significant complications, thereby improving diagnosis and facilitating early intervention for patients undergoing autologous breast reconstruction.
{"title":"Imaging donor site complications after autologous breast reconstruction flaps: a pictorial review.","authors":"Saeed Rahmani, Caroline Merriam DO, Quoc-Huy Ly, Amir Mahmoud Ahmadzadeh, Reza Zahedpasha, Muhammad Ahsan Asif, Ahmed Kertam, Long H Tu","doi":"10.1007/s10140-025-02431-5","DOIUrl":"https://doi.org/10.1007/s10140-025-02431-5","url":null,"abstract":"<p><p>Autologous breast reconstruction using donor-site flaps such as the deep inferior epigastric perforator (DIEP) flap, transverse rectus abdominis myocutaneous (TRAM) flap, latissimus dorsi flap, profunda artery perforator (PAP) flap, and autologous fat grafting is a cornerstone of post-mastectomy reconstruction, offering durable results and significant psychosocial benefits. Despite these advantages, donor site complications are common and can pose diagnostic challenges for radiologists. This pictorial review illustrates the spectrum of these complications, including seroma, hematoma, infection, fat necrosis, abdominal wall bulges and hernias, wound dehiscence focusing on their characteristic appearances across variety of modalities, primarily focused on computed tomography (CT), though also including radiography, ultrasound, and magnetic resonance imaging (MRI). By integrating surgical context with multimodality imaging features, this review provides practical guidance to distinguish expected postoperative changes from clinically significant complications, thereby improving diagnosis and facilitating early intervention for patients undergoing autologous breast reconstruction.</p>","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145932763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}