Evidence map›Paper›PMID 38298813›Full record

ArticleFrontiers in medicine2024

Early prediction of pathological response to neoadjuvant chemotherapy of breast tumors: a comparative study using amide proton transfer-weighted, diffusion weighted and dynamic contrast enhanced MRI.

Nan Zhang, Qingwei Song, Hongbing Liang, Zhuo Wang, Qi Wu, Haonan Zhang, Lina Zhang, Ailian Liu, Huali Wang, Jiazheng Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
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 at 3 institutions in 1 country.

Nan ZhangDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Qingwei SongDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Hongbing LiangDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Zhuo WangDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Qi WuDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Haonan ZhangDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Lina ZhangDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Ailian LiuDepartment of Radiology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Huali WangDepartment of Pathology, First Affiliated Hospital, Dalian Medical University, Dalian, China.
Jiazheng WangMSC Clinical and Technical Solutions, Philips Healthcare, Beijing, China.
Liangjie LinMSC Clinical and Technical Solutions, Philips Healthcare, Beijing, China.
First Affiliated Hospital of Dalian Medical University · CNDalian Medical University · CNPhilips (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine amide proton transfer-weighted (APTw) combined with diffusion weighed (DWI) and dynamic contrast enhanced (DCE) MRI for early prediction of pathological response to neoadjuvant chemotherapy in invasive breast cancer. Materials: In this prospective study, 50 female breast cancer patients (49.58 ± 10.62 years old) administered neoadjuvant chemotherapy (NAC) were enrolled with MRI carried out both before NAC (T0) and at the end of the second cycle of NAC (T1). The patients were divided into 2 groups based on tumor response according to the Miller-Payne Grading (MPG) system. Group 1 included patients with a greater degree of decrease in major histologic responder (MHR, Miller-Payne G4-5), while group 2 included non-MHR cases (Miller-Payne G1-3). Traditional imaging protocols (T1 weighted, T2 weighted, diffusion weighted, and DCE-MRI) and APTw imaging were scanned for each subject before and after treatment. APTw value (APTw0 and APTw1), Dmax (maximum diameter, Dmax0 and Dmax1), V (3D tumor volume, V0 and V1), and ADC (apparent diffusion coefficient, ADC0 and ADC1) before and after treatment, as well as changes between the two times points (ΔAPT, ΔDmax, ΔV, ΔADC) for breast tumors were compared between the two groups. Results: APT0 and APT1 values significantly differed between the two groups ( Conclusion: APTw imaging along with change of tumor size showed a significant potential in early prediction of MHR for NAC treatment in breast cancer, which might allow timely regimen refinement before definitive surgical treatment.

Indexed as

amide proton transfer weightedbreast cancermajor histologic responderneoadjuvant chemotherapyprotein

Identifiers

PMID38298813
PMCPMC10827983
OpenAlexW4390953220

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.