Karunya Ramireddy Jeba, Tharani Putta, John Subhashini, Kumar Ramani Manoj, Das Saikat
Assistant Professor, Department of Radiation Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
Assistant Professor, Department of Radiology, Christian Medical College, Vellore, Tamil Nadu, India.
J Clin Diagn Res. 2017 Aug;11(8):XC06-XC11. doi: 10.7860/JCDR/2017/29165.10426. Epub 2017 Aug 1.
Magnetic Resonance Imaging (MRI) is emerging as a powerful tool in the evaluation and management of cervical cancer. The role of Diffusion Weighted Imaging (DWI) with Apparent Diffusion Coefficient (ADC) as a non-invasive imaging biomarker is promising in characterization of the tumour and prediction of response.
The aim of this study was to evaluate the role of conventional MRI and diffusion weighted MRI in predicting clinicopathological prognostic factors.
This was a retrospective study. The data of 100 cervical cancer patients who had MRI with DWI was retrieved from the database and analysed. Clinico pathological details were collected from the computerized hospital information system. SPSS version 15.0 was used for statistical analysis.
The mean tumour dimensions on MRI in x, y and z axes were 43.04 mm (±13.93, range: 17-85), 37.05mm (±11.83, range: 9-80) and 39.63 mm (±14.81, range: 14 -76). The mean TW MRI based tumour volume (TV) was 48.18 (±34.3, range: 7-206) and on DWI images was 36.68(±33.72, range: 2.5-200). The mean ADC value in patients with squamous cell carcinoma was 0.694 (±0.125, n=88), adenocarcinoma was 0.989 (±0.309, n=6), adenosquamous was 0.894 (±0.324, n=4). There was statistical significant difference in mean ADC between squamous vs. non squamous histology (p = 0.02). The mean ADC values of well differentiated, moderately differentiated, and poorly differentiated tumours were 0.841(±0.227, n= 26), 0.729 (±0.125, n=28), 0.648 (±0.099, n=46) respectively. There was significant statistical difference of mean ADC between well differentiated, moderately differentiated (p=0.020) and poorly differentiated tumours (p=0.0001). Difference between the mean ADC values between the node positive and node negative disease was statistically significant (p=0.0001). There was no correlation between the tumour volumes on TW and DWI images and ADC values. Sixteen patients had residual/recurrent disease at a median follow up of 12 months (range: 3-59 months). The mean ADC values in this group was 0.71 (n=16) and was not significantly different from the disease free group (mean ADC =0.72, n=74).
Higher ADC values are associated with favourable histology and differentiation. Adenocarcinomas have higher ADC values followed by adenosquamous followed by squamous cell carcinomas. Well differentiated tumours had higher ADC values than moderately followed by poorly differentiated tumours. DWI with ADC have a potential role as an imaging biomarker for prognostication and needs further studies for routine clinical applications.
磁共振成像(MRI)正逐渐成为评估和管理宫颈癌的有力工具。扩散加权成像(DWI)结合表观扩散系数(ADC)作为一种非侵入性成像生物标志物,在肿瘤特征描述和反应预测方面前景广阔。
本研究旨在评估传统MRI和扩散加权MRI在预测临床病理预后因素中的作用。
这是一项回顾性研究。从数据库中检索并分析了100例接受了DWI-MRI检查的宫颈癌患者的数据。临床病理细节从医院计算机信息系统中收集。使用SPSS 15.0进行统计分析。
MRI上肿瘤在x、y和z轴的平均尺寸分别为43.04毫米(±13.93,范围:17 - 85)、37.05毫米(±11.83,范围:9 - 80)和39.63毫米(±14.81,范围:14 - 76)。基于TW MRI的平均肿瘤体积(TV)为48.18(±34.3,范围:7 - 206),DWI图像上为36.68(±33.72,范围:2.5 - 200)。鳞状细胞癌患者的平均ADC值为0.694(±0.125,n = 88),腺癌为0.989(±0.309,n = 6),腺鳞癌为0.894(±0.324,n = 4)。鳞状与非鳞状组织学之间的平均ADC存在统计学显著差异(p = 0.02)。高分化、中分化和低分化肿瘤的平均ADC值分别为0.841(±0.227,n = 26)、0.729(±0.125,n = 28)、0.648(±0.099,n = 46)。高分化与中分化肿瘤(p = 0.020)以及高分化与低分化肿瘤(p = 0.0001)之间的平均ADC存在显著统计学差异。淋巴结阳性和阴性疾病之间的平均ADC值差异具有统计学意义(p = 0.0001)。TW和DWI图像上的肿瘤体积与ADC值之间无相关性。16例患者在中位随访12个月(范围:3 - 59个月)时出现残留/复发性疾病。该组的平均ADC值为0.71(n = 16),与无疾病组(平均ADC = 0.72,n = 74)无显著差异。
较高的ADC值与良好的组织学和分化相关。腺癌的ADC值较高,其次是腺鳞癌,然后是鳞状细胞癌。高分化肿瘤的ADC值高于中分化肿瘤,其次是低分化肿瘤。DWI结合ADC作为一种预后成像生物标志物具有潜在作用,需要进一步研究以用于常规临床应用。