Evidence mapPaperPMID 39623065Full record

ArticleEuropean radiology2025

Volumetric histogram analysis of amide proton transfer-weighted imaging for predicting complete tumor response to neoadjuvant chemoradiotherapy in locally advanced rectal adenocarcinoma.

Wenjing Yuan, Xia Lv, Jiaxin Zhao, Ziqi Jia, Qianling Zhou, Hanliang Zhang, Jianhao Dai, Jieping Feng, Weicui Chen, Wei Jiang and 1 more

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

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11 authors.

Wenjing Yuan *Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xia Lv *Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiaxin ZhaoDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ziqi JiaDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Qianling ZhouDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Hanliang ZhangDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jianhao DaiDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jieping FengDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Weicui ChenDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Wei JiangDepartment of Radiotherapy, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China. 8680003@qq.com.
Xian LiuDepartment of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. liuxian74@hotmail.com.ORCID http://orcid.org/0000-0002-1662-477X

Funding

Guangzhou Basic and Applied Basic Research Foundation 2023A03J0245the National Nature Science of Foundation of China 82202259the Youth Talent Project of The Second Affiliated Hospital of Guangzhou University of Chinese Medicine ZY2022YL05
6 · The paper itself

Abstract

objectivesTo investigate the potential of histogram analysis applied to pre-treatment amide proton transfer-weighted (APTw) imaging in predicting complete pathological regression (pCR) in patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (nCRT). MATERIALS AND

methodsThis retrospective study enrolled LARC patients who underwent preoperative rectal magnetic resonance imaging (MRI). Based on histologic assessment, the patients were divided into a pathological complete response (pCR) group or a non-pCR group. APTw histogram features, apparent diffusion coefficient (ADC), and clinical parameters were analyzed. Mann-Whitney U-test, Spearman rank correlation, and univariate and multivariate logistic regression were used for statistical analysis. The predictive performances of different models were evaluated by the receiver operating characteristic curve (ROC).

resultsOne-hundred forty-five patients were included (mean age, 61.6 years ± 11.8 [SD]; 87 men). pCR patients exhibited lower pre-treatment ADC value, higher pre-treatment APTw-10%, APTw-90%, minimum, maximum, median, mean, range, and root mean square (RMS) of the primary tumor compared to non-pCR patients (all p < 0.05). APTw-10%, APTw-90%, maximum, mean, median, minimum, range, and RMS showed negative correlations with the tumor regression grade (TRG) category (r ranged between -0.457 and -0.173; all p < 0.005). Skewness, kurtosis, and entropy exhibited positive correlations with the TRG category (r = 0.278, 0.319, and 0.324, respectively; all p < 0.05). The combined model had a higher AUC of 0.930, with 93.9% sensitivity and 83.9% specificity.

conclusionHistogram analysis of pre-treatment APTw may hold promise as a novel approach for predicting the response of LARC patients to nCRT. KEY POINTS: Question Predicting response to nCRT is crucial for early stratified management of LARC patients; however, current radiological studies remain inconclusive. Finding LARC patients with pCR is correlated with higher pre-treatment APTw intensity-related and lower shape-related histogram features. Clinical relevance The APTw-histogram model and the APTw-clinical combined model demonstrated strong diagnostic efficacy and clinical practicality in predicting LARC patients' responsiveness to nCRT, offering new insights for early clinical decision-making.

Indexed as

AdenocarcinomaChemoradiotherapyMagnetic Resonance ImagingNeoadjuvant TherapyRectal NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeAmide proton transfer-weightedHistogram analysisMagnetic resonance imagingNeoadjuvant chemoradiotherapyRectal adenocarcinomas

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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 Socratic graph.