Evidence map›Paper›PMID 38496759›Full record

ArticleFrontiers in oncology2024

Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients.

Xiaoyan Qin, Jian Lv, Jianmei Zhang, Ronghua Mu, Wei Zheng, Fuzhen Liu, Bingqin Huang, Xin Li, Peng Yang, Kan Deng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

11 authors at 4 institutions in 1 country.

Xiaoyan Qin *Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Jian Lv *Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Jianmei Zhang *Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Ronghua MuDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Wei ZhengDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Fuzhen LiuDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Bingqin HuangDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Xin LiDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Peng YangDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Kan DengPhilips (China) Investment Co., Ltd., Guangzhou Branch, Guangzhou, China.
Xiqi ZhuDepartment of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Nanxi Mountain Hospital · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNGuilin Medical University · CNPhilips (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer invades the capsule is a key factor in selecting appropriate treatment methods. Accurate preoperative prediction of extraprostatic extension (EPE) can help achieve precise selection of treatment plans. Purpose: The aim of this study is to verify the diagnostic efficacy of tumor size, length of capsular contact (LCC), apparent diffusion coefficient (ADC), and Amide proton transfer (APT) value in predicting EPE. Additionally, the study aims to investigate the potential additional value of APT for predicting EPE. Method: This study include 47 tumor organ confined patients (age, 64.16 ± 9.18) and 50 EPE patients (age, 61.51 ± 8.82). The difference of tumor size, LCC, ADC and APT value between groups were compared. Binary logistic regression was used to screen the EPE predictors. The receiver operator characteristic curve analysis was performed to assess the diagnostic performance of variables for predicting EPE. The diagnostic efficacy of combined models (model I: ADC+LCC+tumor size; model II: APT+LCC+tumor size; and model III: APT +ADC+LCC+tumor size) were also analyzed. Results: APT, ADC, tumor size and the LCC were independent predictors of EPE. The area under the curve (AUC) of APT, ADC, tumor size and the LCC were 0.752, 0.665, 0.700 and 0.756, respectively. The AUC of model I, model II, and model III were 0.803, 0.845 and 0.869, respectively. The cutoff value of APT, ADC, tumor size and the LCC were 3.65%, 0.97×10-3mm2/s, 17.30mm and 10.78mm, respectively. The sensitivity/specificity of APT, ADC, tumor size and the LCC were 76%/89.4.0%, 80%/59.6%, 54%/78.9%, 72%/66%, respectively. The sensitivity/specificity of model I, Model II and Model III were 74%/72.3%, 82%/72.5% and 84%/80.9%, respectively. Data conclusion: Amide proton transfer imaging has added value for predicting EPE. The combination model of APT balanced the sensitivity and specificity.

Indexed as

amide proton transferdiffusion weight imagingextraprostatic extensionlength of capsular contactprostate cancertumor size

Identifiers

PMID38496759
PMCPMC10941336
OpenAlexW4392292148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.