Evidence map›Paper›PMID 37828626›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023

Preoperative contrast-enhanced CT imaging and clinicopathological characteristics analysis of mismatch repair-deficient colorectal cancer.

Shuai Chen, Wenzhe Du, Yuhai Cao, Jixia Kong, Xin Wang, Yisen Wang, Yang Lu, Xiang Li

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In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Shuai Chen *Department of Radiology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China.
Wenzhe Du *Department of Radiology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China.
Yuhai Cao *Department of Radiology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China.
Jixia KongDepartment of Pathology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China.
Xin WangDepartment of Radiology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China.
Yisen WangDepartment of Radiology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China.
Yang LuDepartment of Radiology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China. zhongxiazhimengly@163.com.
Xiang LiDepartment of Radiology, The Second Hospital of Dalian Medical University, Zhongshan Road No.467, Shahekou District, Dalian, Liaoning, 116023, China. doc_lixiang@163.com.ORCID http://orcid.org/0000-0002-7534-2924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) can develop through various pathogenetic pathways, and one of the primary pathways is high microsatellite instability (MSI-H)/deficient mismatch repair (dMMR). This study investigated the correlation between preoperative contrast-enhanced CT (CECT) and clinicopathologic characteristics of colorectal cancer (CRC) according to different mismatch repair (MMR) statuses.

methodsFrom April 2021 to July 2022, a total of 281 CRC patients with preoperative CECT and available MMR status were enrolled from a single centre for this retrospective study. Preoperative CECT features and clinicopathologic characteristics were analysed. Univariate and multivariate logistic regression analyses were used for statistical analysis. A nomogram was established based on the multivariate logistic regression results. Preoperative and postoperative dynamic nomogram prediction models were established. The C-index, a calibration plot, and clinical applicability of the two models were evaluated, and internal validation was performed using three methods.

resultsIn total, 249 patients were enrolled in the proficient mismatch repair (pMMR) group and 32 patients in the deficient mismatch repair (dMMR) group. In multivariate analysis, tumour location (right-hemi colon vs. left-hemi colon, odds ratio (OR) = 2.90, p = .036), the hypoattenuation-within-tumour ratio (HR) (HR > 2/3 vs. HR < 1/3, OR = 36.7, p < .001; HR 1/3-2/3 vs. HR < 1/3, OR = 6.05, p = .031), the number of lymph nodes with long diameter ≥ 8 mm on CECT (OR = 1.32, p = .01), CEA status (CEA positive vs. CEA negative, OR = 0.07, p = .002) and lymph node metastasis (OR = 0.45, p = .008) were independent risk factors for dMMR. Pre- and postoperative C-statistic were 0.861 and 0.908, respectively.

conclusionThe combination of pre-operative CECT and clinicopathological characteristics of CRC correlates with MMR status, providing possible non-invasive MMR prediction. Particularly for dMMR CRC, tumour-draining lymph node status should be prudently evaluated by CECT.

Indexed as

Colonic NeoplasmsColorectal NeoplasmsBrain NeoplasmsDNA Mismatch RepairHumansNeoplastic Syndromes, HereditaryRetrospective StudiesTomography, X-Ray ComputedClinicopathologyColorectal cancerComputed tomographyDNA mismatch repairMicrosatellite instability

Identifiers

PMID37828626
PMCPMC10568855

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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.