Evidence map›Paper›PMID 39429588›Full record

ArticleQuantitative imaging in medicine and surgery2024

Potential of quantitative T1 mapping to serve as a novel prognostic predictor of clear cell renal cell carcinoma after nephrectomy.

Lianting Zhong, Ruiting Wang, Qiying Tang, Shunfa Huang, Chenchen Dai, Yuqin Ding, Jianjun Zhou

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lianting Zhong *Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Ruiting Wang *Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiying Tang *Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Shunfa Huang *Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Chenchen DaiDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuqin DingDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Jianjun ZhouDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate preoperative risk stratification methods are important for clear cell renal cell carcinoma (ccRCC) patients to enable personalized treatment. However, there are still no accurate and quantitative prognostic factors. This study aimed to investigate the effectiveness of T1 mapping in predicting the progression-free survival (PFS) of ccRCC after nephrectomy. Methods: A retrospective cohort study was performed in a China tertiary care hospital. This study reviewed the clinical and magnetic resonance imaging (MRI) data of consecutive inpatients with pathologically confirmed ccRCCs between September 2014 and September 2021. PFS was evaluated by following patients until the first adverse event. Radiological features including T1 relaxation time of tumors were assessed by 2 radiologists. Cox regression and visual nomogram, Kaplan-Meier survival, and log-rank test were utilized for survival analysis. Results: A total of 195 patients with pathologically confirmed ccRCCs (mean age ± standard deviation, 56.0±12.0 years; 133 men) with eligible data were included in the study. The median follow-up was 27.6 months (range, 1-88 months), and 22 (11.3%) patients experienced metastasis or recurrence. Univariate and multivariate survival analysis showed the higher post-contrasted T1 relaxation time [P=0.001; hazard ratio (HR), 2.077; 95% confidence interval (CI): 1.350-3.196] and the incomplete tumor capsule (P<0.001; HR, 7.849; CI: 2.614-23.570) were independently associated with a shorter PFS of patients. Patients with ≥222.73 ms post-contrasted T1 relaxation time ccRCCs had worse PFS than the lower post-contrasted T1 relaxation time group. Conclusions: The T1 mapping quantitative parameters may be a new potential biomarker for predicting PFS in patients with ccRCCs.

Indexed as

kidney neoplasmsMagnetic resonance imaging (MRI)prognosisrenal cell carcinoma (RCC)

Identifiers

PMID39429588
PMCPMC11485360

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