Evidence map›Paper›PMID 40921830›Full record

ArticleAbdominal radiology (New York)2026

Discordance in tumour response assessment for gastric cancer after neoadjuvant chemotherapy using different methods.

Jiazheng Li, Zifan Chen, Yinkui Wang, Heyun Chen, Bin Dong, Ziyu Li, Lei Tang

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 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
–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

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

7 authors.

Jiazheng LiDepartment of Radiology, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, China.
Zifan ChenCenter for Big Data, Peking University, Beijing, China.
Yinkui WangDepartment of Gastrointestinal Cancer Center Surgery, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, China.
Heyun ChenCenter for Big Data, Peking University, Beijing, China.
Bin DongBeijing International Center for Mathematical Research (BICMR), Peking University, Beijing, China.
Ziyu LiDepartment of Gastrointestinal Cancer Center Surgery, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, China.
Lei TangDepartment of Radiology, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, China. tanglei@pku.edu.cn.

Funding

National Natural Science Foundation of China U24A20759Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0520600
6 · The paper itself

Abstract

purposeThis study aimed to evaluate whether different tumour response assessment methods yield inconsistent results following neoadjuvant chemotherapy (NACT) in patients with gastric cancer and to identify the methods most strongly associated with pathological response and prognosis.

methodsThis study included 217 patients with gastric cancer who underwent NACT. Tumour volume, area, and thickness were measured on baseline and post-treatment computed tomography (CT) scans. Reduction rates (%Δ measurement) for each parameter were calculated, and the concordance between different %Δ measurements was assessed. Tumour regression grade (TRG) and overall survival (OS) data were recorded, and the predictive performance of the assessment methods was evaluated.

resultsThe concordance between different %Δ measurements ranged from fair to moderate (κ = 0.26-0.50), with 24.88-36.87% of patients showing discordant treatment response assessments across methods. The area under the curve (AUC) values for distinguishing pathological responders from non-responders were 0.70 for %Δ volume, 0.75 for %Δ area, and 0.67 for %Δ thickness. For OS prediction, the c-index values were 0.60 for %Δ volume, 0.59 for %Δ area, and 0.54 for %Δ thickness. Additionally, discrepancies were observed between %Δ measurements and TRG. Both %Δ volume and %Δ area were effective in stratifying OS in patients with TRG 2-3.

conclusionTumour response assessment methods showed discordance across different measurements, with volumetric and planimetric measurements offering superior accuracy than linear measurements in predicting both pathological response and OS. Additionally, %Δ volume and %Δ area were effective in stratifying OS in patients with TRG 2-3.

Indexed as

Neoadjuvant TherapyStomach NeoplasmsTomography, X-Ray ComputedAdultAgedChemotherapy, AdjuvantFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTreatment OutcomeTumor BurdenNeoadjuvant therapyStomach neoplasmsTomographyTreatment outcomeX-Ray computed

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.