最优先的策略是行最大限度的努力前期或间隔减灶手术治疗晚期卵巢癌。诊断影像的角色是提供系统化和结构化的报告，重点关注可切除的关键部位上的肿瘤扩散。成像方法，如盆腔和腹部超声、对比增强计算机斷层掃描、全身扩散加权磁共振成像和正电子发射断层扫描，对于诊断臃肿疾病具有较高的诊断效果，但对于描述小体积的癌转移病变不太准确，可能导致不必要的探测性腹腔镜手术。然而，诊断性腹腔镜可以直接视觉化腹腔内参与情况，但在检测胃脾韧带以外、小网膜囊、系膜根或后腹膜的肿瘤方面具有限制。腹腔镜在与成像相结合的情况下有其一席之地，在有关可切除性的成像结果不明确的情况下尤其如此。研究人员已经开发了不同的成像模型来预测肿瘤切除性，作为一种附加的客观工具。将肿瘤定量分析结果（例如，放射医学）、术前活检和生物标志物纳入预测模型中，可以使选择适合进行广泛手术的患者更加精确。本文将讨论成像和腹腔镜在预测晚期卵巢癌患者无法手术切除疾病方面的能力。

Maximal-effort upfront or interval debulking surgery is the recommended approach for advanced-stage ovarian cancer. The role of diagnostic imaging is to provide a systematic and structured report on tumour dissemination with emphasis on key sites for resectability. Imaging methods, such as pelvic and abdominal ultrasound, contrast-enhanced computed tomography, whole-body diffusion-weighted magnetic resonance imaging and positron emission tomography, yield high diagnostic performance for diagnosing bulky disease, but they are less accurate for depicting small-volume carcinomatosis, which may lead to unnecessary explorative laparotomies. Diagnostic laparoscopy, on the other hand, may directly visualize intraperitoneal involvement but has limitations in detecting tumours beyond the gastrosplenic ligament, in the lesser sac, mesenteric root or in the retroperitoneum. Laparoscopy has its place in combination with imaging in cases where ima-ging results regarding resectability are unclear. Different imaging models predicting tumour resectability have been developed as an adjunctional objective tool. Incorporating results from tumour quantitative analyses (e.g., radiomics), preoperative biopsies and biomarkers into predictive models may allow for more precise selection of patients eligible for extensive surgery. This review will discuss the ability of imaging and laparoscopy to predict non-resectable disease in patients with advanced ovarian cancer.