| 1 | MRI成像对女性盆腔疾病诊断价值探讨显示文摘目的探讨MRI成像对女性盆腔疾病的诊断价值,并为临床进一步治疗提供重要参考依据。方法回顾性分析经MRI成像诊断的52例盆腔疾病患者的影像学表现,并与临床手术结果及病理相对比。结果除2例宫颈原位癌未明确显示外,其余肿瘤均显示良好,并且能在术前准确地显示肿瘤的部位、大小与邻近结构的关系。其中宫颈癌、子宫肌瘤、巧克力囊肿、畸胎瘤、卵巢囊腺癌等在MRI上信号具有特征性,手术符合率可达100%;部分卵巢实性肿瘤定性较为困难。结论 MRI影像诊断女性盆腔疾病结果与临床及病理结果相符率较高,具有较高的应用价值,值得临床推广应用。 | 李永 朱丹红 裴潘 刘璐 郝伟伟 | 2015 | 安徽医学2015，36，1： | 9 |
| 2 | Diffusion weighted imaging in gynecological malignancies-present and future显示文摘The management of gynaecological malignancies has undergone a significant change in recent years with our improved understanding of cancer biogenetics, development of new treatment regimens and enhanced screening. Due to the rapid blooming of newer methods and techniques in gynaecology, surgery and oncology the scope and the role of imaging has also widened. Functional imaging in the form of diffusion weighted imaging(DWI) has been recently found to be very useful in assessing various tumours. Its ability to identify changes in the molecular level has dramatically changed the diagnostic approach of radiologists which was solely based on morphological criteria. It can improve the diagnostic accuracy of conventional magnetic resonance imaging, lend a hand in assessing tumour response to treatment regimens and detect tumour recurrence with better spatial resolution, negative radiation and diagnostic accuracy compared to positron emission tomography scan. The ability to quantify the diffusion has also lead to potential prediction of tumour aggressiveness and grade which directly correlate with the patient prognosis and management. Hence, it has become imperative for a radiologist to understand the concepts of DWI and its present and evolving role. In this article we present a brief description of the basics of DWI followed by its role in evaluation of female gynaecological malignancies. | Dinesh Manoharan Chandan J Das Ankita Aggarwal Arun K Gupta | 2016 | World Journal of Radiology2016，8，3： | 4 |
| 3 | Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients,in-vitro and invivo reproducibility显示文摘There is considerable disparity in the published apparent diffusion coefficient(ADC) values across different anatomies. Institutions are increasingly assessing repeatability and reproducibility of the derived ADC to determine its variation,which could potentially be used as an indicator in determining tumour aggressiveness or assessing tumour response. In this manuscript,a review of selected articles published to date in healthy extracranial body diffusion-weighted magnetic resonance imaging is presented,detailing reported ADC values and discussing their variation across different studies. In total 115 studies were selected including 28 for liver parenchyma,15 for kidney(renal parenchyma),14 for spleen,13 for pancreatic body,6 for gallbladder,13 for prostate,13 for uterus(endometrium,myometrium,cervix) and 13 for fibroglandular breast tissue. Median ADC values in selected studies were found to be 1.28 × 10-3 mm2/s in liver,1.94 × 10-3 mm2/s in kidney,1.60 × 10-3 mm2/s in pancreatic body,0.85 × 10-3 mm2/s in spleen,2.73 × 10-3 mm2/s in gallbladder,1.64 × 10-3 mm2/s and 1.31 × 10-3 mm2/s in prostate peripheral zone and central gland respectively(combined median value of 1.54×10-3 mm2/s),1.44 × 10-3 mm2/s in endometrium,1.53 × 10-3 mm2/s in myometrium,1.71 × 10-3 mm2/s in cervix and 1.92 × 10-3 mm2/s in breast. In addition,six phantom studies and thirteen in vivo studies were summarized to compare repeatability and reproducibility of the measured ADC. All selected phantom studies demonstrated lower intra-scanner and inter-scanner variation compared to in vivo studies. Based on the findings of this manuscript,it is recommended that protocols need to be optimised for the body part studied and that system-induced variability must be established using a standardized phantom in any clinical study. Reproducibility of the measured ADC must also be assessed in a volunteer population,as variations are far more significant in vivo compared with phantom studies. | Maysam M Jafar Arman Parsai Marc E Miquel | 2016 | World Journal of Radiology2016，8，1： | 2 |
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