Urinary collecting system invasion on multiphasic CT in renal cell carcinomas: prevalence, characteristics, and clinical significance

Takamatsu, Atsushi; Yoshida, Kotaro; Obokata, Masaru; Inoue, Dai; Yoneda, Norihide; Kadono, Yoshifumi; Kobayashi, Satoshi; Gabata, Toshifumi

doi:10.1007/s00261-020-02859-y

Cited by 5 publications

(8 citation statements)

References 16 publications

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“…The reported incidence of CSI in RCC is 3%-14%. 11,13,15,33,34 To the best of our knowledge, the incidence of CSI has not been reported specifically in ccRCC. In our study, the incidence of CSI in ccRCC was approximately 46.54% (289/621) and that of ECCRCC among ccRCCs was approximately 15.22% (44/289).…”

Section: Discussionmentioning

confidence: 91%

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CT and clinical features for distinguishing endophytic clear cell renal cell carcinoma from urothelial carcinoma

Chen¹,

Chen²,

Leia³

et al. 2022

Diagn Interv Radiol

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Section: Discussionmentioning

confidence: 91%

“…of CSI. Takamatsu et al 15 explored the correlation between the CT signs of CSI and the survival rate. However, to the best of our knowledge, there are no published studies specifically on CT-based diagnosis to differentiate between ECCRCC and ERUC.…”

Section: Discussionmentioning

confidence: 99%

CT and clinical features for distinguishing endophytic clear cell renal cell carcinoma from urothelial carcinoma

Chen¹,

Chen²,

Leia³

et al. 2022

Diagn Interv Radiol

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“…Besides, the incidence of CSI in ccRCC of ours seemed higher than those of reports. One reason may be that the previous reports are only about the incidence of CSI in RCC [14,17]. RCC includes many histological types except ccRCC.…”

Section: Resultsmentioning

confidence: 99%

“…Some studies have been conducted to distinguish RUC mimicking RCC from RCC. Raza et al de ned central RCC extensively as lesions involving endophytic and some exophytic renal masses and included more subtypes of RCC except for ccRCC in differential diagnosis [14]. Bata et al only compared the CT values between RUC and ccRCC without considering the CT-derived morphological characteristics [13].…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al constructed an easy-to-reach differential model for distinguishing exophytic/endophytic RUC mimicking RCC from ccRCC, respectively [15,16]. Previous studies explored the diagnostic potential of CT features in identifying and assessing the prognosis of ccRCCs with CSI [14,17]. However, previous studies were limited in applying clinical characteristics such as symptoms and history to differentiate between RUC and ccRCC.…”

Section: Introductionmentioning

confidence: 99%

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CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

Chen

Feng

Chen

et al. 2023

Preprint

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Background: We aimed to characterize the clinical and multiphase computed tomography (CT) features, which can distinguish renal urothelial carcinoma (RUC) mimicking renal cell carcinoma (RCC) from clear cell renal cell carcinoma (ccRCC) with collecting system invasion (CSI). Methods: Data from 56 patients with RUC (46 men and 10 women) and 366 patients with ccRCC (262 men and 104 women) were collected and assessed retrospectively. The median age was 65.50 (IQR: 56.25–69.75) and 53.50 (IQR: 42.25–62.5) years, respectively. Univariate and multivariate logistic regression analyses were performed on clinical and CT characteristics to determine independent factors for distinguishing RUC and ccRCC, and an integrated predictive model was constructed. Differential diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUC). Results: The independent predictors for differentiating RUC from ccRCC were infiltrative growth pattern, hydronephrosis, heterogeneous enhancement, preserving reniform contour, and hematuria. The differential diagnostic performance of the integrated predictive model (AUC: 0.960, sensitivity: 92.1%, specificity: 89.3%) was better than that of the infiltrative growth pattern (AUC: 0.830, sensitivity: 71.9%, specificity: 92.9%), heterogeneous enhancement (AUC: 0.771, sensitivity: 86.3%, specificity: 67.9%), preserving reniform contour (AUC=0.758, sensitivity: 85.5%, specificity: 66.1%), hydronephrosis (AUC: 0.733, sensitivity: 87.7%, specificity: 58.9%), or hematuria (AUC: 0.706, sensitivity: 79.5%, specificity: 51.8%). Conclusion: The CT and clinical characteristics showed extraordinary discriminative abilities in the differential diagnosis of RUC and ccRCC, which might provide helpful information for clinical decision-making.

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CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

Chen,

Feng,

Chen

et al. 2024

BMC Urol

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Background We aimed to characterize the clinical and multiphase computed tomography (CT) features, which can distinguish renal urothelial carcinoma (RUC) mimicking renal cell carcinoma (RCC) from clear cell renal cell carcinoma (ccRCC) with collecting system invasion (CSI). Methods Data from 56 patients with RUC (46 men and 10 women) and 366 patients with ccRCC (262 men and 104 women) were collected and assessed retrospectively. The median age was 65.50 (IQR: 56.25–69.75) and 53.50 (IQR: 42.25–62.5) years, respectively. Univariate and multivariate logistic regression analyses were performed on clinical and CT characteristics to determine independent factors for distinguishing RUC and ccRCC, and an integrated predictive model was constructed. Differential diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUC). Results The independent predictors for differentiating RUC from ccRCC were infiltrative growth pattern, hydronephrosis, heterogeneous enhancement, preserving reniform contour, and hematuria. The differential diagnostic performance of the integrated predictive model-1 (AUC: 0.947, sensitivity: 89.07%, specificity: 89.29%) and model-2 (AUC: 0.960, sensitivity: 92.1%, specificity: 89.3%) were both better than that of the infiltrative growth pattern (AUC: 0.830, sensitivity: 71.9%, specificity: 92.9%), heterogeneous enhancement (AUC: 0.771, sensitivity: 86.3%, specificity: 67.9%), preserving reniform contour (AUC = 0.758, sensitivity: 85.5%, specificity: 66.1%), hydronephrosis (AUC: 0.733, sensitivity: 87.7%, specificity: 58.9%), or hematuria (AUC: 0.706, sensitivity: 79.5%, specificity: 51.8%). Conclusion The CT and clinical characteristics showed extraordinary discriminative abilities in the differential diagnosis of RUC and ccRCC, which might provide helpful information for clinical decision-making.

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Urinary collecting system invasion on multiphasic CT in renal cell carcinomas: prevalence, characteristics, and clinical significance

Cited by 5 publications

References 16 publications

CT and clinical features for distinguishing endophytic clear cell renal cell carcinoma from urothelial carcinoma

CT and clinical features for distinguishing endophytic clear cell renal cell carcinoma from urothelial carcinoma

CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma

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