Evidence map›Paper›PMID 37306615›Full record

ArticleCancer medicine2023

Could tumour volume and major and minor axis based on CTA statistical anatomy improve the pre-operative T-stage in oesophageal cancer?

Runyuan Wang, Xiaoqin Zhang, Wei Wu, Jinfeng Ma, Jincheng Chen, Zhu Zhang, Liqun Liu, Shanshan Xu, Ximei Cao, Yi Wu and 1 more

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Runyuan WangDepartment of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.ORCID 0000-0001-5908-6601
Xiaoqin ZhangDepartment of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
Wei WuDepartment of Thoracic Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Jinfeng MaDepartment of General Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Jincheng ChenDepartment of Thoracic Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Zhu ZhangDepartment of Histology and Embryology, Shanxi Medical University, Taiyuan, China.
Liqun LiuDepartment of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Shanshan XuDepartment of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
Ximei CaoDepartment of Histology and Embryology, Shanxi Medical University, Taiyuan, China.
Yi WuDepartment of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
Huilin CuiDepartment of Histology and Embryology, Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo statistically study the 3D shape of oesophageal cancer (EC) and its spatial relationships based on computed tomography angiography (CTA) 3D reconstruction, to determine its relationship with T-stages, and to create an optimal T-stage diagnosis protocol based on CTA calculation.

methodsPre-operative CTA images of 155 patients with EC were retrospectively collected and divided into four groups: T1-T4. We used Amira software to segment and 3D reconstruct the EC, oesophagus, aorta, pericardium and peripheral lymph nodes and measured their surface area, volume, major axis, minor axis, longitudinal length, roughness and relationship to the aorta of the EC. One-way ANOVA, independent sample t-test, ROC, etc., were performed and critical values between different T-stages were calculated. We also invited two radiologists to evaluate the measurements.

resultsThere were no significant differences in EC longitudinal length, roughness score and relationship with the aorta between the different T-stages of EC. There were significant differences in EC surface area, EC volume and mean major and minor axis among the different T-stages. The volumes of the T1-T4 tumours were 12,934.36 ± 7739.25, 23,095.27 ± 14,975.67, 37,577.98 ± 36,085.64 and 58,579.25 ± 41,073.96 mm

conclusionsEC volume, major and minor axis can be used as important factors for surgeons in the T-stage diagnosis of EC, which helps to improve prognosis and treatment decisions after CTA.

Indexed as

Computed Tomography AngiographyEsophageal NeoplasmsHumansRetrospective StudiesTomography, X-Ray ComputedTumor Burden3D reconstructioncomputed tomography angiography (CTA)oesophageal carcinomastatistical anatomyvolume

Identifiers

PMID37306615
PMCPMC10358270

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