Evidence map›Paper›PMID 39698685›Full record

ArticleQuantitative imaging in medicine and surgery2024

Application value of contrast-enhanced ultrasound in the preoperative evaluation of renal cell carcinoma histological classification and RENAL score.

Xiao Huang, Dan Yang, Ju Zhu, Nan Wang, Luping Liu, Fang Nie

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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 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiao HuangUltrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China.
Dan YangUltrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China.
Ju ZhuUltrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China.
Nan WangUltrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China.
Luping LiuUltrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China.
Fang NieUltrasound Medical Center, Lanzhou University Second Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Renal cell carcinoma (RCC), the most common malignant renal tumor, is primarily treated by surgical resection, including radical nephrectomy (RN) and partial nephrectomy (PN). At present, the choice of surgery mainly depends on the comprehensive evaluation of patients' clinical data, including histological classification, such as clear cell renal cell carcinoma (ccRCC) and non-clear cell renal cell carcinoma (nccRCC), and RENAL (radius, exophytic/endophytic, nearness, anterior/posterior, and location) score. Compared with biopsy and contrast-enhanced computed tomography (CECT), contrast-enhanced ultrasound (CEUS) is safer and less invasive. The purpose of this study was to assess the value of CEUS in the preoperative evaluation of histological classification and RENAL score of RCC. Methods: This retrospective study was conducted on a consecutive series of patients with renal tumors who underwent CEUS examination within 1 week prior to treatment at Lanzhou University Second Hospital between March 2021 and November 2023. The conventional ultrasound and CEUS features of RCCs were recorded and used to evaluate the RENAL score. Binary logistic regression was applied to analyze the independent risk factors of ccRCC. Diagnostic efficacy in evaluating ccRCC and nccRCC was compared between CEUS and CECT with the McNemar test. Results: Among 246 patients, 248 RCCs were enrolled and were categorized into two groups: ccRCC (n=196) and nccRCC (n=52), with surgical pathology as the reference standard. The likelihood of hyperenhancement (P<0.001), heterogeneous enhancement (P<0.001), internal nonenhanced region ≤50% (P=0.001), and fast wash-in (P<0.001) in the ccRCC group was significantly higher than that in the nccRCC group, and these were independent risk factors of ccRCC. Moreover, the ccRCC group, as compared to the nccRCC, had a lower region of interest area of the largest range of tumor (Area Conclusions: The conventional ultrasound and CEUS features may help differentiate ccRCC from nccRCC and have significant potential in scoring the complexity prior to surgery, which could provide more precise and valuable information for diagnosis and treatment. CEUS has the capacity to optimize the treatment plan in a noninvasive manner and improve the prognosis of patients and should thus be further verified in multicenter, large-cohort, prospective research.

Indexed as

clear cell renal cell carcinoma (ccRCC)contrast-enhanced computed tomography (CECT)Contrast-enhanced ultrasound (CEUS)renal cell carcinoma (RCC)RENAL score (radius, exophytic/endophytic, nearness, anterior/posterior, and location score)

Identifiers

PMID39698685
PMCPMC11651922

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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.