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Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CT

Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CT
通过高分辨率 3D 乳腺 CT 降低浸润性小叶癌的乳房切除率
批准号:
8882960
负责人:
SRINIVASAN VEDANTHAM
金额:
$30.65万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-01 至 2018-03-31

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中文摘要
翻译
 描述(由申请人提供):乳腺癌是第二种最常见的乳腺癌类型(仅次于浸润性导管癌,IDC),占所有乳腺癌的10-15%。与其他乳腺癌相比,小叶癌表现为多灶性、多中心性和双侧性疾病。在组织学类型中,浸润性小叶癌的再切除率最高(28.3%),明显高于浸润性导管癌(19.1%)。对于诊断为小叶癌的受试者,乳腺MRI目前是评价疾病程度的首选方式,因为超声和乳腺X线摄影在准确估计肿瘤大小方面表现较差。汇总数据的荟萃分析显示,乳腺MRI检测小叶癌的灵敏度为93.3%,在同侧和对侧乳腺中分别有32%和7%的患者检测到额外病变。然而,对于大约25%至35%的肿瘤,乳房MRI估计的大小与病理学差异超过1 cm。使用术前乳房MRI评估疾病程度与乳房切除术的可能性增加有关。最近一项分析243例浸润性小叶癌(ILC)患者的研究得出结论,ILC可以通过保守手术安全治疗,但需要对肿瘤大小和多灶性进行更准确的术前评估,以降低再次切除率。我们假设专用乳腺CT提供的高空间分辨率3D成像能够分辨200至250微米范围内的特征,这将提高大小与组织病理学一致的肿瘤比例,从而增加受试者接受治疗的可能性保乳手术。专用乳腺CT不需要对乳房进行物理压迫,扫描时间为10秒。本前瞻性临床研究旨在确定对比增强乳腺MRI观察到的所有病灶是否也可通过对比增强乳腺CT(灵敏度)观察到,以及通过乳腺CT确定的肿瘤大小是否比乳腺MRI更符合病理学。该研究还将研究两种自动分割和肿瘤大小量化方法,以确定哪种定量算法更准确,并将手术病理学的肿瘤大小作为参考标准。因此,这项研究挑战了现有的肿瘤大小测量准确性的范例,并为降低乳房切除率铺平了道路。
英文摘要
 DESCRIPTION (provided by applicant): Cancers of the breast are the second most common type of breast cancers (after invasive ductal carcinoma, IDC) and account for 10-15% of all breast cancers. More than any other breast cancer, lobular cancers present as multifocal, multicentric and bilateral disease. Among histological types, re- excision rates are highest (28.3%) for invasive lobular carcinoma and substantially more than invasive ductal carcinoma (19.1%). For subjects diagnosed with lobular carcinoma, breast MRI is currently the preferred modality for evaluating disease extent as ultrasound and mammography have been shown to be inferior in accurately estimating tumor size. Meta-analysis of pooled data have shown that breast MRI has a sensitivity of 93.3% for detecting lobular carcinoma with additional lesions detected in 32% and 7% of patients in the ipsilateral and contralateral breasts, respectively. However, for approximately 25% to 35% of tumors, the size estimated from breast MRI differs from pathology by more than 1 cm. The use of pre-operative breast MRI for evaluating disease extent has been associated with increased odds for mastectomy. A recent study analyzing 243 patients with invasive lobular carcinoma (ILC) concluded that ILC can be safely treated with conservative surgery but a more accurate preoperative evaluation of tumor size and multifocality is needed to reduce re-excision rate. We hypothesize the high spatial resolution 3D imaging provided by dedicated breast CT that is capable of resolving features in the 200 to 250 microns range would improve the proportion of tumors that are concordant in size with histopathology and hence would increase the likelihood of subjects being treated with breast conserving surgery. Dedicated breast CT does not require physical compression of the breast and takes 10 seconds for a scan. This prospective clinical study is designed to address if all foci observed with contrast-enhanced breast MRI are also visible with contrast-enhanced breast CT (sensitivity) and if the tumor size determined from breast CT is more concordant with pathology than breast MRI. The study will also investigate two automated segmentation and tumor size quantification methods to determine, which quantitative algorithm is more accurate, with tumor size from surgical pathology serving as reference standard. Thus, the proposed study challenges existing paradigms on the accuracy of tumor size measurements and paves for the way for reducing mastectomy rates.
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Upright, Low-dose, High-resolution, 3D Breast CT
  • 批准号:
    10407991
  • 项目类别:
  • 资助金额:
    $70.42万
  • 财政年份:
    2019
  • 负责人:
    SRINIVASAN VEDANTHAM
  • 依托单位:
Upright, Low-dose, High-resolution, 3D Breast CT
  • 批准号:
    10627825
  • 项目类别:
  • 资助金额:
    $62.99万
  • 财政年份:
    2019
  • 负责人:
    SRINIVASAN VEDANTHAM
  • 依托单位:
Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CT
  • 批准号:
    9455075
  • 项目类别:
  • 资助金额:
    $21.53万
  • 财政年份:
    2017
  • 负责人:
    SRINIVASAN VEDANTHAM
  • 依托单位:
Quantitative breast cancer risk index from routine 3-D imaging
海外基金