Evidence map›Paper›PMID 41417122›Full record

ArticleEuropean radiology2026

The prognostic value of intra- and peritumoral habitat analysis in nasopharyngeal carcinoma: combining IVIM and ASL.

Fan Yang, Haoran Wei, Sai Wang, Xiaolu Li, Xiaoduo Yu, Lin Li, Yanfeng Zhao, Yueluan Jiang, Lizhi Xie, Meng Lin and 1 more

Abstract read
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In one paragraph

Article in European radiology, 2026. 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

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

5 citing papers in PubMed.

  1. Article
  2. Prognostic value of IVIM-DWI parameters for overall and recurrence-free survival in resected esophageal squamous cell carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  3. Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  4. Article
  5. 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.

Fan YangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Haoran WeiDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Sai WangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Xiaolu LiDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Xiaoduo YuDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Lin LiDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yanfeng ZhaoDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yueluan JiangMR Research Collaboration, Siemens Healthineers, Beijing, China.
Lizhi XieMR Research China, GE Healthcare, Beijing, China.
Meng Lin *Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. lm152@139.com.
Hongmei Zhang *Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. 13581968865@163.com.ORCID http://orcid.org/0000-0002-6421-4126

Funding

Beijing Hope Run Fund of Cancer Foundation of China LC2022A23
6 · The paper itself

Abstract

objectivesTo evaluate the value of intravoxel incoherent motion (IVIM) and arterial spin labeling (ASL)-based habitat analysis of intra- and peritumoral regions for predicting overall survival (OS) and progression-free survival (PFS) in NPC. MATERIALS AND

methods106 patients were prospectively included. Primary tumors were delineated on T2-weighted imaging, and three peritumoral regions (3, 5, and 10 mm) were automatically dilated and manually corrected according to the clinical tumor volume outlining criteria. The pure diffusion coefficient (D) and mean kurtosis (MK) maps of IVIM, and blood flow (BF) map of ASL were used for habitat analysis. Volume fraction and histogram parameters (Mean, Kurtosis and Skewness) were extracted for each subregion. Univariate and multivariate Cox analyses were used to construct intra- and peritumoral, Clinic, and combined models, which were assessed by the C-index. Nomogram, calibration curves, and Kaplan-Meier curves were also plotted.

resultsThe intratumoral subregion 4 was characterized by high D and low BF and MK value, representing the radiotherapy-resistant region, and patients with treatment failure had a higher proportion of subregion 4. The Intra-score independently predicted OS (hazard ratio (HR): 1.023, p = 0.002) and PFS (HR: 1.028, p = 0.001). Combined clinical factors with intra- and peritumoral habitat features showed the highest performance (C-index: 0.780 [OS] and 0.721 [PFS]) and outperformed the Clinic model (C-index: 0.691 [OS] and 0.666 [PFS], p ≤ 0.03). The post hoc subgroup analysis confirmed robustness.

conclusionPeri-tumoral regions provide valuable prognostic information. Combining IVIM-ASL-based habitat analysis offers a noninvasive approach to predicting treatment outcomes. KEY POINTS: Question The prognostic value of the peritumoral region in nasopharyngeal carcinoma remains unclear, with limited identification of treatment-resistant subregions. Findings The intratumoral subregion 4 may represent the radiotherapy-resistant region, and combining the intratumoral region with 3-mm peritumoral regions improved prognostic prediction performance. Clinical relevance Arterial spin labeling and intravoxel incoherent motion-based habitat analysis can define radiotherapy-resistant subregions, and the peritumoral region contains valuable prognostic information that should not be disregarded.

Indexed as

Magnetic Resonance ImagingNasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdultAgedFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedPrognosisProspective StudiesSpin LabelsSpin LabelsDiffusion magnetic resonance imagingNasopharyngeal carcinomaPerfusion imagingPrognosisTumor microenvironment

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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.