Differential diagnosis of &amp;lt;3 cm renal tumors by ultrasonography: a rapid, quantitative, elastography self-corrected contrast-enhanced ultrasound imaging mode beyond screening

Sun, Di; Lu, Qijie; Cong, Wei; Li, Yi; Zheng, Yuanyi; Hu, Bing

doi:10.1259/bjr.20190974

Cited by 9 publications

(18 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These tumor features were reported to be associated with poor prognosis. In addition, we found that PC absence was related to small size, female, and low nuclear grade tumors, which appeared to result in good prognosis 25–27 . This is inconsistent with previous findings probably due to differences in tumor stage of patients in our study in relation to patients in other studies.…”

Section: Discussioncontrasting

confidence: 99%

“…In addition, we found that PC absence was related to small size, female, and low nuclear grade tumors, which appeared to result in good prognosis. 25 , 26 , 27 This is inconsistent with previous findings probably due to differences in tumor stage of patients in our study in relation to patients in other studies. Moreover, we only included patients with small RCCs instead of all renal tumors as reported in other studies.…”

Section: Discussioncontrasting

confidence: 99%

See 1 more Smart Citation

Characteristics of peritumoral pseudocapsule in small renal cell carcinoma and its influencing factors

et al. 2022

View full text Add to dashboard Cite

Background The aim of this study was to investigate the peritumoral pseudocapsule (PC) status and identify the factors influencing PC status in small renal cell carcinoma (RCCs). Methods A total of 147 patients with small RCC (≤4 cm) who had undergone tumor enucleation (TE) were assigned into three groups according to PC status: complete PC, PC absence, and PC invasion. Computed tomography (CT) imaging and clinicopathological features were compared among the three groups. Univariate and multivariate analyses were performed to identify factors associated with incomplete PC. Results The number of patients with complete PC, PC absence, and PC invasion was 87 (59%), 20 (14%), and 40 (27%), respectively. Compared with the other two groups, tumors with complete PC were most common in clear cell RCC (CCRCC) and showed a hyperenhancement pattern (92%) and clear boundary (63%) on CT scanning images (p < 0.001). PC absence was most common in female patients (50%), whereas PC invasion was more common in male patients (85%) (p = 0.017). The tumor diameter in the PC absence group (2.24 ± 0.93 cm) was shorter compared with that of the complete PC group (2.88 ± 0.76 cm) and PC invasion group (3.16 ± 0.64 cm) (p < 0.001). Univariate and multivariate analysis showed that hypoenhancement pattern, unclear boundary, and non‐CCRCC subtype were independent risk factors of incomplete PC. Conclusions Hypoenhancement pattern, unclear boundary, and non‐CCRCC subtype were significant predictors of incomplete PC in small RCCs. It remains to be established whether TE is an appropriate procedure for patients with incomplete PC.

show abstract

Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 99%

Characteristics of peritumoral pseudocapsule in small renal cell carcinoma and its influencing factors

et al. 2022

View full text Add to dashboard Cite

show abstract

“… 6 The incidence of RCC has increased by 3.7% per year. 7 , 8 Due to the improvement of imaging technology, the incidence of localized early T1 tumors increased the most. 9 It is now widely accepted that most stage T1 RCCs have a favorable outcome.…”

Section: Introductionmentioning

confidence: 99%

“…These masses have TNM staging of T1a and can be further subdivided into two stages: T1a1 (≤2 cm) and T1a2 (2–4 cm), based on significantly different survival rates associated with different treatment (e.g., observation, radiofrequency thermal ablation, partial or total nephrectomy) for the two sizes 6 . The incidence of RCC has increased by 3.7% per year 7,8 . Due to the improvement of imaging technology, the incidence of localized early T1 tumors increased the most 9 .…”

Section: Introductionmentioning

confidence: 99%

Contrast‐enhanced ultrasound (CEUS) of benign and malignant renal tumors: Distinguishing CEUS features differ with tumor size

Zhu

Zhao

et al. 2022

Cancer Medicine

View full text Add to dashboard Cite

Background Contrast‐enhanced ultrasound (CEUS) is now a guideline‐recommended strategy for diagnosing renal lesions. Tumor size is related to the risk of the treatment and prognosis in renal tumors. Thus, we aim to analyze the CEUS features of solid renal tumors in relation to tumor size. Methods The CEUS appearance of 156 pathologically diagnosed solid renal tumors were retrospectively analyzed. Three groups were stratified according to the tumor size (≤2 cm [group I], 2.1–4 cm [group II] and 4.1–7 cm [group III]). For each group, the features of wash‐in type, enhancement degree, enhancement homogeneity, and the presence of a pseudocapsule sign were compared between benign and malignant tumors. Results All 156 included lesions were detected by CEUS. The proportion of benign tumors in three size groups was 37.1%, 19.4%, and 20.4%, respectively. The proportion of malignant tumors was highest (80.6%) in group II, followed by group III (79.6%) and group I (62.9%). In group I, malignant and benign tumors differed significantly in the presence of a pseudocapsule sign ( p = 0.015) and homogeneity ( p = 0.007). In group II, the degree of enhancement differed ( p = 0.02) between tumor types. In group III, the two tumor types differed in both the wash‐in pattern ( p = 0.015) and enhancement degree ( p = 0.024). The weighted and Cohen's kappa values for the concordance between inter‐observer agreement ranged from 0.31 (95% CI: 0.36–0.57) to 0.90 (95% CI: 0.77–1.00). Conclusions CEUS features of malignant and benign renal tumors change along with the tumor size. The use of CEUS features in the diagnosis of benign and malignant tumors requires consideration of tumor size.

show abstract

“…Acoustic radiation force impulse imaging (ARFI) as a new technology is able to differentiate between malignant and benign renal masses by providing shear wave velocity values to quantify the elasticity of renal masses. [ 10 – 12 ] However, there are still various findings, and no systematic review has specifically assessed this issue. [ 13 – 19 ] Therefore, we will carry out a systematic review and meta-analysis to synthesize the diagnostic value of ARFI for renal masses.…”

Section: Introductionmentioning

confidence: 99%

Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?

Wu¹,

Ge²,

Ye³

et al. 2020

Medicine

View full text Add to dashboard Cite

Background: Renal masses are increasingly being discovered because of the wide accessibility of modern high resolution imaging procedures. Previous clinical studies have reported that acoustic radiation force impulse imaging (ARFI) is used for diagnosis of renal masses. However, no study has investigated this topic systematically. Therefore, this study will evaluate the diagnostic value of ARFI for the diagnosis of renal masses. Methods: A systematic search using the databases of Cochrane Library, EMBASE, Pubmed, WANGFANG, and China National Knowledge Infrastructure will be performed to identify studies in which patients with renal masses are assessed by ARFI. Two investigators will independently screen the literature and extract the data. Any discrepancies will be resolved via discussion with the senior author. Study quality will be assessed by the Quality Assessment of Diagnostic Accuracy Studies 2 tool, and pooled sensitivity and specificity of various ARFI findings for the diagnosis of renal masses will be determined. Summary receiver operating characteristic curve will be used to assess the overall performance of ARFI. Results: This study will evaluate the diagnostic value of ARFI for the diagnosis of renal masses through sensitivity, specificity, positive and negative likelihood ratio, and diagnostic odds ratio. Conclusion: This study will summarize the most recent evidence that focusing on the diagnosis of ARFI for renal masses. Study registration: INPLASY202060105.

show abstract

Differential diagnosis of <3 cm renal tumors by ultrasonography: a rapid, quantitative, elastography self-corrected contrast-enhanced ultrasound imaging mode beyond screening

Cited by 9 publications

References 44 publications

Characteristics of peritumoral pseudocapsule in small renal cell carcinoma and its influencing factors

Characteristics of peritumoral pseudocapsule in small renal cell carcinoma and its influencing factors

Contrast‐enhanced ultrasound (CEUS) of benign and malignant renal tumors: Distinguishing CEUS features differ with tumor size

Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?

Contact Info

Product

Resources

About