The Royal College of Radiologists Open最新文献_第3页

A teenage rarity: Sinonasal teratocarcinosarcoma in an adolescent and its clinical course

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2025.100343

Aqueel Shahid , Sadia Abdullah , Abbas Ali Hussain , Sadia Khan

{"title":"A teenage rarity: Sinonasal teratocarcinosarcoma in an adolescent and its clinical course","authors":"Aqueel Shahid , Sadia Abdullah , Abbas Ali Hussain , Sadia Khan","doi":"10.1016/j.rcro.2025.100343","DOIUrl":"10.1016/j.rcro.2025.100343","url":null,"abstract":"<div><h3>Introduction</h3><div>Sinonasal teratocar<strong>inosarcoma</strong> (SNTCS) is a rare and <strong>highly aggressive malignancy</strong> of the anterior skull base typically affecting the paranasal and ethmoidal sinuses. Histologically, SNTCS exhibits unique heterogeneous features having mixed characteristics of <strong>teratoma</strong> and <strong>carcinosarcoma</strong>. This complexity makes diagnosis challenging, often leading to delays in treatment. The first case of SNTCS was described in the literature in 1966 by Patchefsky et al. However the term “<strong>teratocarcinosarcoma</strong>” was coined 16 years later by Heffner and Hyams who outlined the unique heterogenic pathology of the disease in their analysis of 20 cases. The overall incidence of this tumor remains extremely low with less than <strong>150 cases reported</strong> in the literature, primarily consisting of single case reports or case series.</div></div><div><h3>Case report</h3><div>This case report details a rare instance of sinonasal teratocarcinosarcoma in a 15-year-old male who presented with nasal swelling. Imaging revealed polypoidal thickening in the sinuses, leading to surgical resection. Pathology indicated undifferentiated carcinoma with positive markers for teratocarcinosarcoma. After a year in remission, a local recurrence was noted, prompting additional surgery and adjuvant chemoradiotherapy. The patient completed radiotherapy and chemotherapy with no residual disease on follow-up imaging. He currently remains in remission under regular surveillance.</div></div><div><h3>Conclusion</h3><div>Sinonasal teratocarcinosarcoma (SNTCS), is known to be aggressive in nature leading to a poor prognosis. Aggressive tri-modality treatment is currently the most effective treatment with acceptable toxicity. The rarity of the condition underscores the need for further research to understand the genetic or environmental influences that may contribute to such atypical cases.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100343"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943105","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}

引用次数: 0

Primary thoracic spine amyloidoma causing malignant cord compression: A case report and review of the literature 原发性胸椎淀粉样瘤引起恶性脊髓压迫：1例报告及文献复习

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2025.100347

O. Olujobi, A. Gough-Palmer, A. Shaw

{"title":"Primary thoracic spine amyloidoma causing malignant cord compression: A case report and review of the literature","authors":"O. Olujobi, A. Gough-Palmer, A. Shaw","doi":"10.1016/j.rcro.2025.100347","DOIUrl":"10.1016/j.rcro.2025.100347","url":null,"abstract":"<div><h3>Purpose</h3><div>Amyloidoma is a rare pseudo-tumoral form of localised amyloidosis. This condition is thought to rarely affect the spine, with less than 100 cases of spinal amyloidomas described in literature and their properties are not well understood. Recognising the imaging features of this condition and the appropriate management are essential for patient outcomes.</div></div><div><h3>Content</h3><div>A case of a thoracic spine amyloidoma is described and a literature review conducted of all cases of thoracic spine amyloidoma to identify common imaging characteristics, diagnostic criteria and management.</div></div><div><h3>Results</h3><div>27 cases of thoracic spine amyloidoma are found in the literature. 21 were included in the review. Common plain radiograph and CT characteristics demonstrated a calcified osteolytic lesion which was destructive. Common MRI characteristics demonstrated hypointensity on T1 and T2 weighted imaging with a degree of variability and variable enhancement after contrast. Most cases utilised surgical resection of mass and all required histological analysis to confirm diagnosis. Surgical management had proven benefit for neurological outcomes and low rates of recurrence. There was little evidence for the benefit of adjuvant therapy as management.</div></div><div><h3>Conclusion</h3><div>A diagnosis of a thoracic spine amyloidoma should be considered for a calcified lesion which presents as osteolytic on plain radiograph and demonstrates hypointensity on T1 and T2 weighted MRI imaging. However, a sample of the mass and subsequent histological analysis is diagnostic. Surgery has proven benefit for outcomes however comparative studies are needed to determine the role of adjuvant therapy in this condition.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100347"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105701","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}

引用次数: 0

Proof of Concept for an AI-Powered Pipeline in Paediatric Radiology 儿科放射学人工智能管道概念验证

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100178

Louise Rigny, Pavithra Rajendran, Sebin Sabu, Shiren Patel, Susan Shelmerdine, Owen Arthurs

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Synthesised low-dose clinical screening mammograms: an evaluation of suitability for AI training 合成低剂量临床筛查乳房x线照片：人工智能培训适用性评估

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100179

Anna Worthy , Nadia Smith , Caroline Shenton-Taylor

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Shaping AI education in imaging and harnessing learning opportunities: initial perspectives from Radiology trainees 塑造成像领域的人工智能教育和利用学习机会：来自放射学学员的初步观点

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100177

Alex Sawer, Yuen Zhang, Tilak Das, Holly Christopher

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Revolutionising Competency-Based Medical Education with AI 用人工智能革新基于能力的医学教育

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100186

David Lay

引用次数: 0

Creating Conditions for Success: How to Successfully Implement CXR AI 为成功创造条件：如何成功实施CXR AI

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100215

Jesus Perdomo Lampignano , Sean Duncan , David Lowe , Mark Hall

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AI-CXR triage expedites lung cancer investigation in the NHS AI-CXR分诊加速了NHS的肺癌调查

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100227

Mathew Storey , Jack Packer , Daniel Togher , M. Abubacker , Anthony Chung , Anne-Marie Bartsch , Simon Rickaby , Geraldine Dean , Susan Shelmardine

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Artificial Intelligence governance and prioritisation tool. How do we responsibly pick the right applications for a District General Hospital? 人工智能治理和优先排序工具。我们如何负责任地为地区综合医院挑选合适的申请？

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100209

Fatima Shah, Gian-Marco Strappelli, Zainab Hussain, Steven Thorndyke, Kelly Lewis-Towler

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Towards improved detection of bone metastases on CT scans with the use of a novel artificial intelligence software 利用新型人工智能软件改进CT扫描中骨转移的检测

The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100187

Nor-eddine Regnard , Stéphane Charlon , Marion Durteste , Jules Bayet , Aloïs Pourchot , Alix Thuillier , Ludovic Lim , Jeanne Ventre , Daniel Jones , Jean-Denis Laredo , Andreas Brendlin , Saif Afat

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