Image-guided core needle biopsy for soft tissue sarcomas: Diagnostic accuracy in determining grade and malignant potential.

Kaushik Jaganathan, Vaibhav Sahu, Himanshu Rohela, Sunil Pasricha, Ullas Batra
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Abstract

Background: Core needle biopsy (CNB) has emerged as a less invasive alternative to open biopsy for diagnosing soft tissue sarcomas (STS). However, its accuracy in determining tumor grade and distinguishing between benign and malignant lesions remains a subject of ongoing research.

Objective: To assess the diagnostic accuracy of image-guided CNB for soft tissue sarcomas, focusing on grade determination and benign vs. malignant distinction.

Methods: This retrospective study analysed 83 patients who underwent both CNB and surgical excision for soft tissue tumors between 2020 and 2024. CNB results were compared with final histopathology findings. Diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. ROC curve analysis was performed to evaluate diagnostic performance.

Results: The overall accuracy of CNB was 95.18 % (95 % CI: 88.11 % - 98.71 %) for distinguishing between benign and malignant lesions, with a sensitivity of 96.34 % (95 % CI: 89.68 % - 99.24 %) and PPV of 98.75 % (95 % CI: 93.23 % - 99.97 %). For grade determination, CNB showed an accuracy of 86.75 % (95 % CI: 77.52 % - 93.19 %), with sensitivity of 85.92 % (95 % CI: 75.67 % - 93.03 %) and specificity of 91.67 % (95 % CI: 61.52 % - 99.79 %) for high-grade tumors. ROC curve analysis demonstrated excellent discriminatory ability with AUC of 0.982 for benign vs. malignant distinction and 0.888 for grade determination. Diagnostic accuracy varied across sarcoma subtypes, with some rare types showing perfect accuracy and more common types demonstrating moderate to good sensitivity and high specificity.

Conclusion: Image-guided CNB demonstrates high overall accuracy in diagnosing and grading soft tissue sarcomas, particularly in identifying malignant lesions. While performance varies across sarcoma subtypes, these findings support the use of CNB as a reliable diagnostic tool in the management of suspected soft tissue sarcomas.

影像引导下的软组织肉瘤核心穿刺活检:确定肿瘤级别和恶性潜能的诊断准确性。
背景:核心穿刺活检(CNB)已成为一种微创的替代开放式活检诊断软组织肉瘤(STS)的方法。然而,它在确定肿瘤分级和区分良恶性病变方面的准确性仍然是一个正在进行的研究课题。目的:评价图像引导下CNB对软组织肉瘤的诊断准确性,重点是分级确定和良恶性区分。方法:本回顾性研究分析了2020年至2024年间接受CNB和手术切除软组织肿瘤的83例患者。将CNB结果与最终的组织病理学结果进行比较。计算诊断的准确性、敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。采用ROC曲线分析评价诊断效果。结果:CNB鉴别良、恶性病变的总体准确率为95.18% (95% CI: 88.11% ~ 98.71%),灵敏度为96.34% (95% CI: 89.68% ~ 99.24%), PPV为98.75% (95% CI: 93.23% ~ 99.97%)。对于恶性肿瘤的分级,CNB准确率为86.75% (95% CI: 77.52% - 93.19%),敏感性为85.92% (95% CI: 75.67% - 93.03%),特异性为91.67% (95% CI: 61.52% - 99.79%)。ROC曲线分析显示良好的区分能力,良、恶性区分的AUC为0.982,等级判定的AUC为0.888。不同肉瘤亚型的诊断准确性各不相同,一些罕见的类型具有完美的准确性,而更常见的类型具有中等至良好的敏感性和高特异性。结论:图像引导下的CNB对软组织肉瘤的诊断和分级具有较高的整体准确性,尤其是对恶性病变的识别。虽然不同亚型的肉瘤表现不同,但这些发现支持CNB作为可疑软组织肉瘤治疗的可靠诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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