Suppr超能文献

磁共振成像-氟代脱氧葡萄糖正电子发射断层扫描融合与直肠癌病理分期的比较。

Comparison of magnetic resonance imaging-fluorodeoxy- glucose positron emission tomography fusion with pathological staging in rectal cancer.

机构信息

Department of Surgery, Royal Brisbane and Women's Hospital, Queensland, Australia.

出版信息

Br J Surg. 2010 Feb;97(2):266-8. doi: 10.1002/bjs.6866.

Abstract

BACKGROUND

: This study represents an initial experience with combined magnetic resonance imaging (MRI) and [(18)F]fluorodeoxyglucose positron emission tomography (FDG PET) (MRI-PET fusion) in the primary staging of rectal carcinoma.

METHODS

: A retrospective analysis of data recorded on patients with rectal cancer was undertaken. Patients requiring long-course radiotherapy were excluded. Chest radiography, abdominal computed tomography and endorectal ultrasonography were performed. In addition, MRI of the pelvis, whole-body FDG PET and MRI-PET fusion were carried out. All patients subsequently underwent anterior resection.

RESULTS

: Twenty-three patients with rectal carcinoma (15 men), of median age 60 (range 46-75) years, were enrolled. In tumour (T) assessment, MRI correctly staged 14 of 22 T2/T3 tumours. In lymph node assessment, MRI-PET fusion had a sensitivity of 44 per cent, with a specificity and positive predictive value of 100 per cent. No additional information was acquired from MRI-PET fusion over MRI plus abdominal computed tomography and chest radiography.

CONCLUSION

: MRI-PET fusion adds little to conventional investigations for staging rectal carcinoma.

摘要

背景

本研究代表了在直肠癌的初始分期中联合磁共振成像(MRI)和 [(18)F]氟脱氧葡萄糖正电子发射断层扫描(FDG PET)(MRI-PET 融合)的初步经验。

方法

对直肠癌患者的数据进行了回顾性分析。排除需要长程放疗的患者。进行了胸部 X 线摄影、腹部计算机断层扫描和直肠内超声检查。此外,还进行了骨盆 MRI、全身 FDG PET 和 MRI-PET 融合检查。所有患者随后均行前切除术。

结果

共纳入 23 例直肠癌患者(男 15 例),中位年龄 60(46-75)岁。在肿瘤(T)评估中,MRI 正确分期了 22 例 T2/T3 肿瘤中的 14 例。在淋巴结评估中,MRI-PET 融合的敏感性为 44%,特异性和阳性预测值均为 100%。MRI-PET 融合与 MRI 加腹部计算机断层扫描和胸部 X 线摄影相比,并未获得额外信息。

结论

MRI-PET 融合对直肠癌的分期常规检查几乎没有增加。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验