Evidence map›Paper›PMID 42106846›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026

Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma.

Fan Yang, Ya Zhang, Michael Iv, Haoran Wei, Sai Wang, Xiaolu Li, Xiaoduo Yu, Lin Li, Yanfeng Zhao, Lizhi Xie and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Fan Yang *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.
Ya Zhang *Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Michael IvDivision of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, Stanford University Medical Center, Stanford, CA, USA.
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.
Lizhi XieMR Research China, GE Healthcare, Beijing, China.
Dehong LuoDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the prognostic value of tumor special growth rate (TSGR) in patients with NPC and investigate the potential of diffusion-weighted imaging (DWI) habitat analysis as a surrogate marker.

methodsPatients who underwent two MRI scans before any type of treatment at two institutes were included. Radiologists manually delineated the volume of the primary tumor, and the doubling time and TSGR were calculated. Correlation between TSGR and long-term survival was evaluated using multivariate Cox analysis. Moreover, a radiologist delineated the tumor on b = 0 s/mm

resultsA total of 98 patients were included (median age: 51 years; 24 females; training cohort: 64). The median doubling time was 131.9 days. Patients in the rapid-growth group (TSGR ≥ 1.4%) had significantly poorer survival than those in the slow-growth group (TSGR < 1.4%) in both the training and validation cohorts (p ≤ 0.006). ADC

conclusionPatients with high ADC

Indexed as

Diffusion Magnetic Resonance ImagingNasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesDoubling timeHabitat analysisHead and neck cancerMagnetic resonance imagingNasopharyngeal carcinoma

Identifiers

PMID42106846
PMCPMC13325575

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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.