Evidence map›Paper›PMID 37382618›Full record

ArticleEuropean radiology2023

Multiparametric MRI for evaluation of pathological response to the neoadjuvant chemo-immunotherapy in resectable non-small-cell lung cancer.

Xiao Bao, Dongliang Bian, Xing Yang, Zheming Wang, Mingdong Shang, Gening Jiang, Jingyun Shi

Abstract read
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In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Observational
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  7. Tremelimumab plus Durvalumab prior to Chemoradiotherapy in Unresectable, Locally Advanced Non-Small Cell Lung Cancer: The Induction Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  8. Review
  9. Article
  10. Correlation of KJournal for immunotherapy of cancer · 2024
    Article
  11. Histogram analysis of multiple diffusion models for predicting advanced non-small cell lung cancer response to chemoimmunotherapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  12. Article
  13. Review
  14. 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

7 authors at 2 institutions in 1 country.

Xiao Bao *Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Dongliang Bian *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Xing Yang *Department of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Zheming WangDepartment of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Mingdong ShangDepartment of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Gening JiangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China. geningjiang@tongji.edu.cn.
Jingyun ShiDepartment of Radiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China. shijingyun89179@126.com.
Shanghai Pulmonary Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to explore the predictive value of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and diffusion kurtosis imaging (DKI) quantitative parameters for the response to neoadjuvant chemo-immunotherapy (NCIT) in resectable non-small-cell lung cancer (NSCLC) patients, so as to provide a basis for clinical individualized precision treatment.

methodsTreatment naive locally advanced NSCLC patients who enrolled in 3 prospective, open-label, and single-arm clinical trials and received NCIT were retrospectively analyzed in this study. Functional MRI imaging was performed at baseline and following 3 weeks of treatment as an exploratory endpoint to evaluate treatment efficacy. Univariate and multivariate logistic regressions were used to identify independent predictive parameters for NCIT response. Prediction models were built with statistically significant quantitative parameters and their combinations.

resultsIn total of 32 patients, 13 were classified as complete pathological response (pCR) and 19 were non-pCR. Post-NCIT ADC, ΔADC, and ΔD values in the pCR group were significantly higher than those in the non-pCR group, while the pre-NCIT D, post-NCIT K

conclusionsThe pre-NCIT D, post-NCIT parameters (ADC and K CLINICAL RELEVANCE STATEMENT: This exploratory study indicated that IVIM-DWI and DKI MRI imaging would predict pathologic response of neoadjuvant chemo-immunotherapy in locally advanced NSCLC patients at initial state and early treatment, which could help make clinical individualized treatment strategies. KEY POINTS: • Effective NCIT treatment resulted in increased ADC and D values for NSCLC patients. • The residual tumors in non-pCR group tend to have higher microstructural complexity and heterogeneity, as measured by K

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMultiparametric Magnetic Resonance ImagingDiffusion Magnetic Resonance ImagingHumansImmunotherapyNeoadjuvant TherapyProspective StudiesRetrospective StudiesImmune checkpoint inhibitorsMultiparametric magnetic resonance imagingNeoadjuvant therapyNon-small-cell lung carcinoma

Identifiers

PMID37382618
OpenAlexW4382501452

What OpenQuestion holds

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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.