Evidence map›Paper›PMID 37679641›Full record

ArticleLa Radiologia medica2023

Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma.

Xijuan Ma, Xianling Qian, Qing Wang, Yunfei Zhang, Ruilong Zong, Jia Zhang, Baoxin Qian, Chun Yang, Xin Lu, Yibing Shi

Open access · hybridAbstract read
In one paragraph

Article in La Radiologia medica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
13.3field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Conventional and drug‑eluting bead transarterial chemoembolization in patients with inoperable intrahepatic cholangiocarcinoma: a meta‑analysis.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2024
    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

10 authors at 5 institutions in 1 country.

Xijuan Ma *Department of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, No. 199 Jiefang South Road, Quanshan District, Xuzhou, 221009, Jiangsu, People's Republic of China.
Xianling Qian *Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd, Shanghai, 200032, People's Republic of China.
Qing WangGraduate Department, Bengbu Medical College, Bengbu, 233000, Anhui, People's Republic of China.
Yunfei ZhangShanghai Institute of Medical Imaging, No. 180 Fenglin Rd, Shanghai, 200032, People's Republic of China.
Ruilong ZongDepartment of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, No. 199 Jiefang South Road, Quanshan District, Xuzhou, 221009, Jiangsu, People's Republic of China.
Jia ZhangDepartment of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, No. 199 Jiefang South Road, Quanshan District, Xuzhou, 221009, Jiangsu, People's Republic of China.
Baoxin QianHuiying Medical Technology, Huiying Medical Technology Co., Ltd, Room A206, B2, Dongsheng Science and Technology Park, Haidian District, Beijing City, 100192, People's Republic of China.
Chun YangDepartment of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd, Shanghai, 200032, People's Republic of China.
Xin LuDepartment of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Rd, Shanghai, 200032, People's Republic of China. lu.xin@zs-hospital.sh.cn.
Yibing ShiDepartment of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, No. 199 Jiefang South Road, Quanshan District, Xuzhou, 221009, Jiangsu, People's Republic of China. ctsyb70496@163.com.ORCID http://orcid.org/0000-0003-4954-313X
Xuzhou Medical College · CNFudan University · CNBengbu Medical College · CNShanghai Medical College of Fudan University · CNUnited Imaging Healthcare (China) · CN

Funding

Clinical Research Project of Zhongshan Hospital, Fudan University No. 2020ZSLC61Medical Scientific Research Program of Jiangsu Commission of Health No.M2021014"the Development Research Foundation of Affiliated Hospital" of Xuzhou Medical University No. YFM2020020Xuzhou Medical Leading Talents Training Project No. XWRCHT20210030
6 · The paper itself

Abstract

objectiveMicrovascular invasion (MVI) is a significant adverse prognostic indicator of intrahepatic cholangiocarcinoma (ICC) and affects the selection of individualized treatment regimens. This study sought to establish a radiomics nomogram based on the optimal VOI of multi-sequence MRI for predicting MVI in ICC tumors.

methods160 single ICC lesions with MRI scanning confirmed by postoperative pathology were randomly separated into training and validation cohorts (TC and VC). Multivariate analysis identified independent clinical and imaging MVI predictors. Radiomics features were obtained from images of 6 MRI sequences at 4 different VOIs. The least absolute shrinkage and selection operator algorithm was performed to enable the derivation of robust and effective radiomics features. Then, the best three sequences and the optimal VOI were obtained through comparison. The MVI prediction nomogram combined the independent predictors and optimal radiomics features, and its performance was evaluated via the receiver operating characteristics, calibration, and decision curves.

resultsTumor size and intrahepatic ductal dilatation are independent MVI predictors. Radiomics features extracted from the best three sequences (T1WI-D, T1WI, DWI) with VOI

conclusionA nomogram combining tumor size, intrahepatic ductal dilatation, and the radiomics model of MRI multi-sequence fusion at VOI

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaBile Ducts, IntrahepaticHumansMagnetic Resonance ImagingNeoplasm InvasivenessNomogramsRetrospective StudiesIntrahepatic cholangiocarcinomaMagnetic resonance imagingMicrovascular invasionNomogram

Identifiers

PMID37679641
PMCPMC10620280
OpenAlexW4386525252

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.