Evidence map›Paper›PMID 41699278›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

PET/CT-based quantification of intratumoral heterogeneity for predicting pathological complete response in breast cancer patients treated with neoadjuvant chemotherapy: A multicentre study.

Jiwen Zhang, Xin Yu, Xiaofen Li, Zhuokai Sun, Qinghua Meng, Ziyin Li, Shiping Luo, Yushuai Yu, Qing Wang, Ning Mao and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Jiwen ZhangClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China.
Xin YuClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China.
Xiaofen LiClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China.
Zhuokai SunCardiff China Medical Research Collaborative (CCMRC), Division of Cancer and Genetics (DCG), Cardiff University School of Medicine, Cardiff, Wales, CF14 4XN, UK.
Qinghua MengSchool of Computer Science and Technology, Shandong Technology and Business University, Yantai, 264000, Shandong, China.
Ziyin LiDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, No.20 Yuhuangding East Road, Yantai, 264000, Shandong, P. R. China.
Shiping LuoClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China.
Yushuai YuClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China.
Qing WangClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China.
Ning MaoDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, No.20 Yuhuangding East Road, Yantai, 264000, Shandong, P. R. China. maoning@pku.edu.cn.
Daojia LiuClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China. ldj0701@163.com.
Chuangui SongClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou, 350014, Fujian, China. songcg1971@outlook.com.ORCID 0009-0008-0749-568X

Funding

High-level Talent Introduction Project of Fujian Cancer Hospital F2328R-GC301-01National Natural Science Foundation of China 82473187Natural Science Foundation of Fujian Province 2021J01751
6 · The paper itself

Abstract

purposeTo develop a quantitative measure of intratumoral heterogeneity (ITH) from pretreatment 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) images and to evaluate its potential for predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in patients with breast cancer (BC). MATERIALS AND

methodsThis retrospective study included patients with BC who underwent NAC at four hospitals between 2013 and 2025. Tumour regions on pretreatment 18F-FDG PET/CT images were clustered to extract intratumoral ecological diversity features, while radiomic features were extracted from the entire tumour. Output probabilities from imaging-based extreme gradient boosting (XGBoost) models were used to generate an ITH index and a radiomics score, respectively. Logistic regression analysis was performed to identify variables associated with pCR. Significant variables, including clinicopathologic characteristics, radiomics score, and ITH index, were integrated into a combined predictive model (ICR-COME). Model performance and clinical utility were evaluated using receiver operating characteristic, calibration curve, and decision curve analyses (DCA). Survival differences between predicted pCR and non-pCR groups were assessed using Kaplan–Meier analysis. RNA sequencing data from 12 patients were analysed to further explore the biological basis of ICR-COME.

resultsThe study included 323 women (median age, 51 years ± 10[SD]). For predicting pCR in BC patients, ICR-COME achieved the area under the receiver operating characteristic curve (AUC) values of 0.95 in the training cohort and 0.87 and 0.88 in external test cohorts B and C, respectively, which were significantly superior to those of the clinicopath model and the conventional radiomics model using 18F-FDG PET/CT (all P < 0.05, DeLong test). Calibration curve and DCA indicated that ICR-COME achieved satisfactory concordance and provided the greatest clinical net benefit. Patients in all three cohorts predicted as non-pCR exhibited poorer prognosis (P < 0.05, log-rank test). Furthermore, RNA sequencing and multiplex immunofluorescence analyses revealed that high ICR-COME scores were associated with increased immune cell infiltration and enhanced activation of immune-related pathways.

conclusionsICR-COME, which integrates the ITH index, the radiomics score, and clinicopathologic variables, demonstrated strong predictive performance for pCR to NAC and prognosis in BC patients.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyPositron Emission Tomography Computed TomographyAdultFemaleFluorodeoxyglucose F18HumansMiddle AgedPathologic Complete ResponseRadiomicsRetrospective StudiesFluorodeoxyglucose F1818F-FDG PET/CTBreast cancerDisease-free survivalIntratumoral heterogeneityNeoadjuvant chemotherapyRadiomicsRNA sequencing analysis

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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.