Evidence map›Paper›PMID 35306580›Full record

ArticleAbdominal radiology (New York)2022

Muscle-invasive bladder cancer: pretreatment prediction of response to neoadjuvant chemotherapy with diffusion-weighted MR imaging.

Xinxin Zhang, Yichen Wang, Jin Zhang, Xiaojuan Xu, Lianyu Zhang, Miaomiao Zhang, Lizhi Xie, Jianzhong Shou, Yan Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Xinxin ZhangDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 7 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Yichen WangDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 7 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Jin ZhangDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 7 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Xiaojuan XuDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 7 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Lianyu ZhangDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 7 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Miaomiao ZhangDivision of Life Sciences and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, People's Republic of China.
Lizhi XieGE Healthcare, MR Research China, Beijing, 100176, China.
Jianzhong ShouDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yan ChenDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 7 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China. doctorchenyan626@sina.com.ORCID http://orcid.org/0000-0003-3349-752X
Chinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the usefulness of diffusion-weighted MR imaging with ADC value and histogram analysis of ADC in the prediction of response to neoadjuvant chemotherapy (NAC) in patients with muscle-invasive bladder cancer (MIBC).

methodsFifty-eight consecutive patients with clinical T2-4aN0M0 MIBC who underwent MRI before and after NAC were enrolled in the prospective study. The evaluation of response to NAC was based on the pathologic T (pT) stage after surgery. Patients with non-muscle-invasive residual cancer (pTa, pTis, pT1) were defined as responders, while those with muscle-invasive residual cancer (≥ pT2) were defined as non-responders. The ADC value measured from a single-section region of interest and ADC histogram parameters derived from whole-tumor volume of interest in responder and non-responder were compared using the Mann-Whitney U test or independent samples t test. ROC curve analysis was used to evaluate the diagnostic performance of ADC value and ADC histogram parameters in predicting the response to NAC.

resultsThe pretreatment ADC value of responders ([1.33 (± 0.21)] × 10

conclusionDiffusion-weighted MR imaging with ADC value and histogram analysis of ADC are useful to predict NAC response in patients with MIBC.

Indexed as

Neoadjuvant TherapyUrinary Bladder NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMusclesNeoplasm, ResidualProspective StudiesRetrospective StudiesApparent diffusion coefficientHistogramMRIMuscle-invasive bladder cancerNeoadjuvant chemotherapy

Identifiers

PMID35306580
OpenAlexW4220817602

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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.