Evidence map›Paper›PMID 41367744›Full record

ArticleQuantitative imaging in medicine and surgery2025

Abbreviated dynamic total-body [

Shiyang Zheng, Rui Zhou, Yiwen Mo, Hui Liu, Fangjie Liu, Bo Qiu, Weiguang Zhang, Wei Fan, Yishan Lin, Daquan Wang and 1 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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

11 authors.

Shiyang Zheng *Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Rui Zhou *Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yiwen Mo *Department of Nuclear Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hui LiuUnited Imaging Healthcare, Shanghai, China.
Fangjie LiuDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Bo QiuDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Weiguang ZhangDepartment of Nuclear Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wei FanDepartment of Nuclear Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yishan LinDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Daquan WangDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hui LiuDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Integrating immunotherapy with chemotherapy and radiotherapy has revolutionized the treatment of locally advanced non-small cell lung cancer (LA-NSCLC), but challenges persist in accurately assessing treatment responses. This study investigates the use of abbreviated scan protocols for dynamic total body [ Methods: Eligible LA-NSCLC patients scheduled for two cycles of induction immuno-chemotherapy were included and stratified into a testing group and a validation group. In the testing group, three abbreviated dynamic total body [ Results: A total of 38 patients were included in the testing group. The mean bias between the 40-60-minute and standard Patlak-Ki values was closest to zero, indicating minimal error. ROC analysis indicated that the standard Patlak-Ki values had the highest area under the curve (AUC) of 0.75 [95% confidence interval (CI): 0.52-0.97], followed by the 30-60-minute Patlak-Ki values with an AUC of 0.74 (95% CI: 0.52-0.96), the 40-60-minute Patlak-Ki values with an AUC of 0.73 (95% CI: 0.50-0.95), and the 50-60-minute Patlak-Ki values with an AUC of 0.71 (95% CI: 0.50-0.93). Based on the excellent AUC and appropriate scan duration, a 40-60-minute scan protocol was used for a validation group of 34 LA-NSCLC patients before the induction immuno-chemotherapy. The ROC curve for this protocol demonstrated an AUC of 0.78 (95% CI: 0.56-1.00) in predicting treatment response. Conclusions: The Patlak-Ki values derived from the abbreviated 40-60-minute dynamic scan protocol showed strong agreement with those from the standard dynamic scan protocol in predicting the response to induction immuno-chemotherapy in LA-NSCLC patients. This finding suggested the potential for broader adoption of dynamic total body [

Indexed as

[18F]fluorodeoxyglucose ([18F]FDG)Dynamic total-body positron emission tomography (dynamic total-body PET)Patlak‑Ki, lung cancerreduced scanning time

Identifiers

PMID41367744
PMCPMC12682553

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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.