目的:评估血管肉瘤可能性预测(HeLP)评分和Tufts脾肿瘤评估工具(T-STAT)对血管肉瘤和恶性肿瘤的可预测性,分别。
方法:261只因脾肿块而接受脾切除术的狗。
方法:对病历进行回顾性分析;收集HeLP评分和T-STAT的变量,并分配了分数。计算每个分数的曲线下面积(AUC)。
结果:HeLP评分包括141只狗;87只(61.7%)狗被诊断为血管肉瘤。中位累积HeLP评分为51(范围,17至82;IQR,39至58)用于血管肉瘤和28(范围,0到70;IQR,17至41)适用于没有血管肉瘤的狗。分类HeLP得分较低(28;32.2%),中等(31;35.6%),血管肉瘤犬高(28;32.2%),低(41;75.9%),中等(9;16.7%),和高(4;7.4%)的狗没有血管肉瘤。诊断血管肉瘤的累积和分类HeLP评分的AUC分别为0.79(95%CI,0.71至0.86)和0.73(95%CI,0.65至0.82),分别。T-STAT包括181只狗。95只(52.5%)犬病变为良性,86只(47.5%)犬病变为恶性。中位T-STAT评分为62%(范围,5%到98%;IQR,36%至77%)的犬恶性病变和38%(范围,5%到91%;IQR,24%到59%)为良性病变犬。T-STAT具有用于诊断恶性肿瘤的0.68(0.60至0.76)的AUC。
结论:HeLP评分具有可接受的性能,T-STAT的诊断预测性能较差。需要一种具有出色或出色辨别能力的工具来更可靠地预测术前血管肉瘤或恶性病变的存在。
OBJECTIVE: To assess the predictability of the
hemangiosarcoma likelihood prediction (HeLP) score and the Tufts Splenic Tumor Assessment Tool (T-STAT) for
hemangiosarcoma and malignancy, respectively.
METHODS: 261 dogs undergoing splenectomy for a splenic mass.
METHODS: Medical records were retrospectively reviewed; variables for the HeLP score and T-STAT were collected, and scores were assigned. Area under the curve (AUC) was calculated for each score.
RESULTS: The HeLP score included 141 dogs;
hemangiosarcoma was diagnosed in 87 (61.7%) dogs. The median cumulative HeLP score was 51 (range, 17 to 82; IQR, 39 to 58) for dogs with hemangiosarcoma and 28 (range, 0 to 70; IQR, 17 to 41) for dogs without
hemangiosarcoma. The categorical HeLP score was low (28; 32.2%), medium (31; 35.6%), and high (28; 32.2%) for dogs with hemangiosarcoma and was low (41; 75.9%), medium (9; 16.7%), and high (4; 7.4%) for dogs without
hemangiosarcoma. The AUC of the cumulative and categorical HeLP scores for diagnosis of hemangiosarcoma were 0.79 (95% CI, 0.71 to 0.86) and 0.73 (95% CI, 0.65 to 0.82), respectively. The T-STAT included 181 dogs. Lesions were benign in 95 (52.5%) and malignant in 86 (47.5%) dogs. The median T-STAT score was 62% (range, 5% to 98%; IQR, 36% to 77%) for dogs with malignant lesions and 38% (range, 5% to 91%; IQR, 24% to 59%) for dogs with benign lesions. The T-STAT had an AUC of 0.68 (0.60 to 0.76) for diagnosis of malignancy.
CONCLUSIONS: The HeLP score had acceptable performance, and the T-STAT had poor performance for diagnosis prediction. A tool with excellent or outstanding discrimination is needed to more reliably predict the presence of hemangiosarcoma or a malignant lesion preoperatively.