Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangzhou, Guangdong, 510120, China.
Department of Radiology, Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat- sen University, Shanwei, Guangdong, 516621, China.
Cancer Imaging. 2024 Aug 2;24(1):102. doi: 10.1186/s40644-024-00748-x.
Sarcomatoid urothelial carcinoma (SUC) is a rare and highly malignant form of bladder cancer with a poor prognosis. Currently, there is limited information on the imaging features of bladder SUC and reliable indicators for distinguishing it from conventional urothelial carcinoma (CUC). The objective of our study was to identify the unique imaging characteristics of bladder SUC and determine factors that aid in its differential diagnosis.
This retrospective study enrolled 22 participants with bladder SUC and 61 participants with CUC. The clinical, pathologic, and CT/MRI data from both groups were recorded, and a comparison was conducted using univariate analysis and multinomial logistic regression for distinguishing SUC from CUC.
The majority of SUCs were located in the trigone of the bladder and exhibited large tumor size, irregular shape, low ADC values, Vesical Imaging-Reporting and Data System (VI-RADS) score ≥ 4, the presence of necrosis, and an invasive nature. Univariate analysis revealed significant differences in terms of tumor location, shape, the maximum long-axis diameter (LAD), the short-axis diameter (SAD), ADC-value, VI-RADS scores, necrosis, extravesical extension (EVE), pelvic peritoneal spread (PPS), and hydronephrosis/ureteral effusion (p < .001 ~ p = .037) between SUCs and CUCs. Multinomial logistic regression found that only SAD (p = .014) and necrosis (p = .003) emerged as independent predictors for differentiating between SUC and CUC. The model based on these two factors achieved an area under curve (AUC) of 0.849 in ROC curve analysis.
Bladder SUC demonstrates several distinct imaging features, including a high incidence of trigone involvement, large tumor size, and obvious invasiveness accompanied by necrosis. A bladder tumor with a large SAD and evidence of necrosis is more likely to be SUC rather than CUC.
肉瘤样尿路上皮癌(SUC)是一种罕见且高度恶性的膀胱癌,预后较差。目前,关于膀胱 SUC 的影像学特征以及可靠的鉴别指标,相关信息有限。本研究旨在确定膀胱 SUC 的独特影像学特征,并确定有助于鉴别诊断的因素。
本回顾性研究纳入了 22 例膀胱 SUC 患者和 61 例 CUC 患者。记录两组的临床、病理和 CT/MRI 数据,并通过单因素分析和多变量逻辑回归比较来鉴别 SUC 和 CUC。
大多数 SUC 位于膀胱三角区,肿瘤体积大,形态不规则,ADC 值低,膀胱影像报告和数据系统(VI-RADS)评分≥4,伴有坏死和侵袭性。单因素分析显示,肿瘤位置、形态、最大长轴直径(LAD)、短轴直径(SAD)、ADC 值、VI-RADS 评分、坏死、膀胱外侵犯(EVE)、盆腹腔转移(PPS)和肾盂积水/输尿管积液在 SUC 和 CUC 之间存在显著差异(p<0.001~p=0.037)。多变量逻辑回归发现,只有 SAD(p=0.014)和坏死(p=0.003)是鉴别 SUC 和 CUC 的独立预测因素。基于这两个因素的模型在 ROC 曲线分析中获得了 0.849 的曲线下面积(AUC)。
膀胱 SUC 具有多个独特的影像学特征,包括三角区受累发生率高、肿瘤体积大、侵袭性明显,伴有坏死。具有大 SAD 和坏死证据的膀胱肿瘤更可能是 SUC,而不是 CUC。