Evidence map›Paper›PMID 31845142›Full record

Trial reportJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2020

Clinical Value of Multi-Slice Spiral CT Angiography, Colon Imaging, and Image Fusion in the Preoperative Evaluation of Laparoscopic Complete Mesocolic Excision for Right Colon Cancer: a Prospective Randomized Trial.

Linjie Bian, Danping Wu, Yigang Chen, Zhuiyang Zhang, Jianming Ni, Lei Zhang, Jiazen Xia

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Linjie BianDepartment of Radiology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, 68 Zhongshan Road, Jiangsu, 214002, People's Republic of China.
Danping WuDepartment of Radiology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, 68 Zhongshan Road, Jiangsu, 214002, People's Republic of China.
Yigang ChenDepartment of General Surgery, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, 68 Zhongshan Road, Jiangsu, 214002, People's Republic of China. wuxichen2512@njmu.edu.cn.ORCID http://orcid.org/0000-0002-3036-3537
Zhuiyang ZhangDepartment of Radiology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, 68 Zhongshan Road, Jiangsu, 214002, People's Republic of China.
Jianming NiDepartment of Radiology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, 68 Zhongshan Road, Jiangsu, 214002, People's Republic of China.
Lei ZhangDepartment of Radiology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, 68 Zhongshan Road, Jiangsu, 214002, People's Republic of China.
Jiazen XiaDepartment of General Surgery, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, 68 Zhongshan Road, Jiangsu, 214002, People's Republic of China.
Wuxi No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the clinical value of CT angiography (CTA), CT colonography (CTC), and image fusion in the preoperative evaluation of laparoscopic complete mesocolic excision (CME) for right colon cancer.

methodsIn this randomized prospective study, 80 patients undergoing laparoscopic CME for right colon cancer were randomly divided into two groups: image fusion [the original images were reconstructed using CTA and CTC, then fused into three-dimensional images of the blood vessels and intestines (n = 40)] and control (without CTA and CTC reconstruction before surgery). All patients underwent plain and enhanced abdominal CT before surgery.

resultsIn the image fusion group, the gastrocolic trunk of Henle was present in 33 cases, and its branches originated from the colon vein, right gastroepiploic vein, and superior anterior pancreaticoduodenal vein. Among these patients, 5 exhibited the right gastroepiploic vein and superior anterior pancreaticoduodenal vein; 21 exhibited a gastrointestinal trunk consisting of 2 or 3 branches of the right gastroepiploic vein, right colon vein, and middle colon vein; and 7 exhibited 3 or 4 gastro-pancreatic and colon trunks consisting of the right colon vein, middle colon vein, right gastroepiploic vein, and superior anterior pancreaticoduodenal vein. The correspondence with the anatomy actually observed during surgery was 100%. Compared with the conventional CT group, the duration of the operation in the image fusion group was shorter, with reduced intraoperative bleeding, and more lymph node dissection. There were no significant differences in the incidence of complications and length of hospital stay between the two groups (p > 0.05).

conclusionsFor laparoscopic CME for right colon cancer, CTA, CTC, and image fusion were effective preoperative evaluation methods, which avoided some unseen dangers in the operation process and led to better therapeutic outcomes.

Indexed as

Colonic NeoplasmsLaparoscopyMesocolonColectomyComputed Tomography AngiographyHumansLymph Node ExcisionProspective StudiesAngiographyComplete mesocolic excisionGastrocolic trunk of HenlePreoperative evaluation

Identifiers

PMID31845142
OpenAlexW2994784428

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.