Evidence map›Paper›PMID 38263829›Full record

ArticleThe British journal of radiology2024

Investigation of clear cell renal cell carcinoma grades using diffusion-relaxation correlation spectroscopic imaging with optimized spatial-spectrum analysis.

Yuansheng Luo, Mengying Zhu, Xiaobin Wei, Jianrong Xu, Shihang Pan, Guiqin Liu, Yang Song, Wentao Hu, Yongming Dai, Guangyu Wu

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 1 country.

Yuansheng LuoDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0001-8362-4940
Mengying ZhuDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0009-0004-1971-4916
Xiaobin WeiDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-2840-3456
Jianrong XuDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Shihang PanDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-0546-9767
Guiqin LiuDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-4400-9472
Yang SongMR Scientific Marketing, Siemens Healthineers Ltd., 200129 Shanghai, China.ORCID 0000-0001-7426-4496
Wentao HuDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-0347-7467
Yongming DaiSchool of Biomedical Engineering, Shanghai Tech University, 201210 Shanghai, China.
Guangyu WuDepartment of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNShanghaiTech University · CNSiemens (China) · CN

Funding

National Natural Science Foundation of China 82371912Renji Hospital, School of Medicine, Shanghai Jiao Tong University RJKY22-004Shanghai Jiao Tong University Medical Engineering Cross Fund YG2021QN27
6 · The paper itself

Abstract

objectivesTo differentiate high-grade from low-grade clear cell renal cell carcinoma (ccRCC) using diffusion-relaxation correlation spectroscopic imaging (DR-CSI) spectra in an equal separating analysis.

methodsEighty patients with 86 pathologically confirmed ccRCCs who underwent DR-CSI were enrolled. Two radiologists delineated the region of interest. The spectrum was derived based on DR-CSI and was further segmented into multiple equal subregions from 2*2 to 9*9. The agreement between the 2 radiologists was assessed by the intraclass correlation coefficient (ICC). Logistic regression was used to establish the regression model for differentiation, and 5-fold cross-validation was used to evaluate its accuracy. McNemar's test was used to compare the diagnostic performance between equipartition models and the traditional parameters, including the apparent diffusion coefficient (ADC) and T2 value.

resultsThe inter-reader agreement decreased as the divisions in the equipartition model increased (overall ICC ranged from 0.859 to 0.920). The accuracy increased from the 2*2 to 9*9 equipartition model (0.68 for 2*2, 0.69 for 3*3 and 4*4, 0.70 for 5*5, 0.71 for 6*6, 0.78 for 7*7, and 0.75 for 8*8 and 9*9). The equipartition models with divisions >7*7 were significantly better than ADC and T2 (vs ADC: P = .002-.008; vs T2: P = .001-.004).

conclusionsThe equipartition method has the potential to analyse the DR-CSI spectrum and discriminate between low-grade and high-grade ccRCC. ADVANCES IN KNOWLEDGE: The evaluation of DR-CSI relies on prior knowledge, and how to assess the spectrum derived from DR-CSI without prior knowledge has not been well studied.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsCell DifferentiationDiagnostic ImagingHumansSpectrum Analysisclear cell renal cell carcinomadiffusion-relaxation correlation spectroscopic imagingmagnetic resonance imaging

Identifiers

PMID38263829
PMCPMC11008501
OpenAlexW4390781364

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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.