Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Ann Diagn Pathol. 2013 Oct;17(5):441-7. doi: 10.1016/j.anndiagpath.2013.06.003. Epub 2013 Jul 26.
This study addresses the clinical problem of the patient with breast cancer that has been operated on for an ovarian mass. It specifies the spectrum of histopathologic diagnoses and the differentiating magnetic resonance imaging (MRI) features of ovarian masses with correlations between clinical features, histopathologic, and MRI findings. Sensitivity and specificity of MRI vs histopathology in diagnosing malignancy are estimated. The study included 53 women with breast cancer who underwent surgery for an ovarian mass. Complete medical records, US and MRI images for the ovarian mass, and histopathology slides of both breast and ovarian resection specimens were reviewed and analyzed retrospectively. Thirty-six (67.9 %) patients had benign masses, and 17 (32.1%) had malignant masses, of which 8 (15.1%) were primary ovarian malignancies and 9 (17%) were metastatic from breast carcinomas. There was a significant association between benign and primary malignant ovarian masses and stage II breast cancer (P = .00). There was a significant association between metastatic ovarian masses and stage III to IV breast disease (P = .00) and negative estrogen receptor status (P = .05). Magnetic resonance imaging had a specificity of 91.7% and a sensitivity of 94.1% in diagnosing malignant ovarian masses. In conclusion, the spectrum of ovarian masses diagnosed in patients with breast cancer is broad, including benign lesions, primary ovarian malignancies, and breast metastases. Knowledge of the imaging features may allow a specific diagnosis aiding in surgical planning. Despite the high specificity and sensitivity of MRI to differentiate benign from malignant lesions, the unique ability to differentiate between primary and metastatic malignancies is conserved to histopathology.
这项研究针对的是已经接受过卵巢肿块手术的乳腺癌患者的临床问题。它具体说明了卵巢肿块的组织病理学诊断范围和区别性磁共振成像(MRI)特征,并将其与临床特征、组织病理学和 MRI 结果相关联。估计了 MRI 与组织病理学在诊断恶性肿瘤方面的敏感性和特异性。该研究纳入了 53 名因卵巢肿块而行手术的乳腺癌女性患者。回顾性地对这些患者的完整病历、卵巢肿块的超声和 MRI 图像以及乳腺和卵巢切除标本的组织病理学切片进行了分析。36 名(67.9%)患者为良性肿块,17 名(32.1%)为恶性肿块,其中 8 名(15.1%)为原发性卵巢恶性肿瘤,9 名(17%)为乳腺癌转移。良性和原发性恶性卵巢肿块与 II 期乳腺癌之间存在显著关联(P =.00)。转移性卵巢肿块与 III 期至 IV 期乳腺癌之间存在显著关联(P =.00),与雌激素受体阴性状态之间也存在显著关联(P =.05)。MRI 在诊断恶性卵巢肿块方面的特异性为 91.7%,敏感性为 94.1%。总之,在乳腺癌患者中诊断出的卵巢肿块范围广泛,包括良性病变、原发性卵巢恶性肿瘤和乳腺癌转移。了解影像学特征可以帮助进行特定的诊断,从而辅助手术计划。尽管 MRI 具有很高的特异性和敏感性,可以区分良性和恶性病变,但区分原发性和转移性恶性肿瘤的独特能力仍然依赖于组织病理学。