Evidence map›Paper›PMID 33100931›Full record

ArticleContrast media & molecular imaging2020

Preoperatively Grading Rectal Cancer with the Combination of Intravoxel Incoherent Motions Imaging and Diffusion Kurtosis Imaging.

Zhijun Geng, Yunfei Zhang, Shaohan Yin, Shanshan Lian, Haoqiang He, Hui Li, Chuanmiao Xie, Yongming Dai

Abstract read
In one paragraph

Article in Contrast media & molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhijun GengDepartment of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, No. 651 Dongfeng East Road, Guangzhou 510060, China.
Yunfei ZhangCentral Research Institute, United Imaging Healthcare, Shanghai 201807, China.
Shaohan YinDepartment of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, No. 651 Dongfeng East Road, Guangzhou 510060, China.
Shanshan LianDepartment of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, No. 651 Dongfeng East Road, Guangzhou 510060, China.
Haoqiang HeDepartment of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, No. 651 Dongfeng East Road, Guangzhou 510060, China.
Hui LiDepartment of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, No. 651 Dongfeng East Road, Guangzhou 510060, China.ORCID 0000-0002-6268-8862
Chuanmiao XieDepartment of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, No. 651 Dongfeng East Road, Guangzhou 510060, China.ORCID 0000-0001-8533-623X
Yongming DaiCentral Research Institute, United Imaging Healthcare, Shanghai 201807, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To combine Intravoxel Incoherent Motions (IVIM) imaging and diffusion kurtosis imaging (DKI) which can aid in the quantification of different biological inspirations including cellularity, vascularity, and microstructural heterogeneity to preoperatively grade rectal cancer. Methods: A total of 58 rectal patients were included into this prospective study. MRI was performed with a 3T scanner. Different combinations of IVIM-derived and DKI-derived parameters were performed to grade rectal cancer. Pearson correlation coefficients were applied to evaluate the correlations. Binary logistic regression models were established via integrating different DWI parameters for screening the most sensitive parameter. Receiver operating characteristic analysis was performed for evaluating the diagnostic performance. Results: For individual DWI-derived parameters, all parameters except the pseudodiffusion coefficient displayed the capability of grading rectal cancer ( Conclusion: The combination of IVIM and DKI holds great potential in accurately grading rectal cancer as IVIM and DKI can provide the quantification of different biological inspirations including cellularity, vascularity, and microstructural heterogeneity.

Indexed as

Preoperative CareAdultAgedDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleFollow-Up StudiesHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleMiddle AgedMotionNeoplasm GradingProspective StudiesRectal Neoplasms

Identifiers

PMID33100931
PMCPMC7576354

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.