Rectal cancer

Sun, Hongzan; Xu, Yanyan; Xu, Qiaoyu; Shi, Kun; Wu, Wei

doi:10.1097/md.0000000000006866

Cited by 22 publications

(6 citation statements)

References 25 publications

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“…Therefore, the results of the D* and f values may be related to the location of the lesion and the feeding artery. Furthermore, previous studies have reported that the D* and f values are not accurate in the assessment of the tumor differentiation grades because of their intrinsic instability, poor reproducibility, and lower diagnostic efficiency[ 33 , 34 ]. Nevertheless, Vincenza Granata et al[ 18 ] demonstrated that the f values were significantly different in the HCC groups with G1, G2, and G3 histological grades, and a significant correlation was reported between the f value and the histologic grade, which is in disagreement with our results.…”

Section: Discussionmentioning

confidence: 99%

Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging

Zhu

Liu

et al. 2018

WJG

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AIMTo compare intravoxel incoherent motion (IVIM)-derived parameters with conventional diffusion-weighted imaging (DWI) parameters in predicting the histological grade of hepatocellular carcinoma (HCC) and to evaluate the correlation between the parameters and the histological grades.METHODSA retrospective study was performed. Sixty-two patients with surgically confirmed HCCs underwent diffusion-weighted magnetic resonance imaging with twelve b values (10-1200 s/mm2). The apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) were calculated by two radiologists. The IVIM and conventional DWI parameters were compared among the different grades by using analysis of variance (ANOVA) and the Kruskal-Wallis test. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic efficiency of distinguishing between low-grade (grade 1, G1) and high-grade (grades 2 and 3, G2 and G3) HCC. The correlation between the parameters and the histological grades was assessed by using the Spearman correlation test. Bland-Altman analysis was used to evaluate the reproducibility of the two radiologists’ measurements.RESULTSThe differences in the ADC and D values among the groups with G1, G2, and G3 histological grades of HCCs were statistically significant (P < 0.001). The D* and f values had no significant differences among the different histological grades of HCC (P > 0.05). The ROC analyses demonstrated that the D and ADC values had better diagnostic performance in differentiating the low-grade HCC from the high-grade HCC, with areas under the curve (AUCs) of 0.909 and 0.843, respectively, measured by radiologist 1 and of 0.911 and 0.852, respectively, measured by radiologist 2. The following significant correlations were obtained between the ADC, D, and D* values and the histological grades: r = -0.619 (P < 0.001), r = -0.628 (P < 0.001), and r = -0.299 (P = 0.018), respectively, as measured by radiologist 1; r = -0.622 (P < 0.001), r = -0.633 (P < 0.001), and r = -0.303 (P = 0.017), respectively, as measured by radiologist 2. The intra-class correlation coefficient (ICC) values between the two observers were 0.996 for ADC, 0.997 for D, 0.996 for D*, and 0.992 for f values, which indicated excellent inter-observer agreement in the measurements between the two observers.CONCLUSIONThe IVIM-derived D and ADC values show better diagnostic performance in differentiating high-grade HCC from low-grade HCC, and there is a moderate to good correlation between the ADC and D values and the histological grades.

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Section: Discussionmentioning

confidence: 99%

Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging

Zhu

Liu

et al. 2018

WJG

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“…Some encouraging first results have been shown for IVIM in rectal cancer to predict response, 60,61,71 for differentiating between metastatic (N+) and non-metastatic (N-) lymph nodes, 119 and to predict prognostic markers such as TNM-stage, 102,113 tumour differentiation grade, 102 lymphovascular invasion, 108 microvessel density 113 and KRAS status. 114 Potential drawbacks of the IVIM method are its test-retest reproducibility 120 and that measurements may be significantly influenced by scan parameters such as the echo time. 121 There is currently no consensus on how IVIM analysis should best be performed, as is also illustrated by the different imaging protocols used in the current literature.…”

Section: Intravoxel Incoherent Motionmentioning

confidence: 99%

Diffusion-weighted imaging in rectal cancer: current applications and future perspectives

Schurink

Lambregts

Beets‐Tan

2019

The British Journal of Radiology

117

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This paper aims to give an overview of the various clinical applications of DWI and discuss their potential role for rectal cancer imaging. PRiMARy RectAl cANceR stAgiNg Rectal tumour detection The main goal of MRI for rectal cancer is staging rather than tumour detection, since typically the presence of tumour has already been established by endoscopy or CT-colonography. 2 It is probably therefore that only a few studies have focused on DWI for the primary detection of rectal cancer. 3-10 Nevertheless, published reports have shown consistently good results for DWI to detect rectal tumours. In a recent meta-analysis, albeit focusing on colorectal tumours in general and not specifically on rectal cancer, pooled sensitivity, specificity and area under the curve (AUC) were 95%, 93% and 0.98, respectively. 11

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“…MRI demonstrates high tissue resolution, which can clearly show the penetration depth of the tumor on the rectal wall and the connection between the surrounding soft tissue and the tumor [17]. Sun et al [18] studied the accuracy of high-field 3.0T-MRI in the diagnosis of rectal cancer and found that it had 100% sensitivity and 67% specificity in diagnosing muscularis propria invasion; that it had 91% sensitivity and 93% specificity in diagnosing surrounding tissue invasion; and that it had 64% sensitivity and 92% specificity in diagnosing lymph node metastasis. Zhang et al [19] studied the accuracy of MRI in the circumferential margin detection before and after NCRT and found that the accuracy decreased after NCRT.…”

Section: Discussionmentioning

confidence: 99%

Low-Rank Matrix Denoising Algorithm-Based MRI Image Feature for Therapeutic Effect Evaluation of NCRT on Rectal Cancer

2021

Journal of Healthcare Engineering

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This study aimed to explore the therapeutic effects of neoadjuvant chemoradiotherapy (NCRT) on rectal cancer patients using the MRI based on low-rank matrix denoising algorithm, which was then compared with the postoperative pathological examination to evaluate its application value in tumor staging after NCRT treatment. 15 patients with rectal cancer who met the requirements of radiotherapy and chemotherapy after conventional MRI were selected as the research subjects. The conventional MRI images before and after NCRT treatment were divided in two groups. One group was not processed and set as the conventional group; the other group was processed with low-rank matrix denoising algorithm and set as the optimized group. The two groups of images were observed for the changes in the ADC value and length and thickness of the tumor before and after NCRT treatment. The two groups were compared with the pathological examination for the complete remission of pathology (pCR) after the NCRT treatment and the tumor stage results. The results showed that Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR) (18.9121 and 74.9911 dB) after introducing the low-rank matrix denoising algorithm were significantly better than those before (20.1234 and 70.1234 dB) ( P < 0.05 ); there were notable differences in the tumor index data within the two groups before and after NCRT treatment ( P < 0.05 ), indicating that the NCRT treatment was effective. The pathological examination results of pCR data of the two groups were not much different ( P > 0.05 ); the examination results between the two groups were different, but no notable difference was noted ( P < 0.05 ); in the optimized group, there was no notable difference between the MRI results and the pathological examination results ( P < 0.05 ), while in the conventional group, there were notable differences in the MRI results and pathological examination results ( P < 0.05 ). In conclusion, MRI images based on low-rank matrix denoising algorithm are clearer, which can improve the diagnosis rate of patients and better display the changes of the microenvironment after NCRT treatment. It also indicates that NCRT treatment has significant clinical effects in the treatment of rectal cancer patients, which is worth promoting.

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Rectal cancer

Cited by 22 publications

References 25 publications

Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging

Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging

Diffusion-weighted imaging in rectal cancer: current applications and future perspectives

Low-Rank Matrix Denoising Algorithm-Based MRI Image Feature for Therapeutic Effect Evaluation of NCRT on Rectal Cancer

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