RRIMS:乳腺摄影筛查中的辐射风险——一种新的模型,用于预测首次筛查时放射性乳腺癌症的终生剂量和风险

BJR open Pub Date : 2022-09-29 eCollection Date: 2022-01-01 DOI:10.1259/bjro.20220028
Sahand Hooshmand, Warren M Reed, Mo'ayyad E Suleiman, Patrick C Brennan
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引用次数: 0

摘要

乳腺造影筛查风险(RRIMS)建立在前身为乳腺iRRISC的原型基础上,旨在开发一个模型,通过仅使用女性首次筛查访问的信息,计算40至75岁之间每个筛查年龄的终生平均腺剂量(MGD),来建立女性的剂量和风险状况。然后将其分配到一个剂量类别,并估计该类别女性的放射性乳腺癌癌症发病率和死亡率的终身风险。该模型训练是使用Hologic图像的大型数据集开发的,该数据集包含4154名女性5076次就诊的20232张图像。从图像中提取女性的乳房特征和暴露参数,通过对各种参数及其随时间变化的建模,计算女性在第一次筛查访视后的整个筛查过程中的MGD。这一发展最终提供了一个模型,该模型使用女性的首次筛查访视来计算所有年龄段潜在筛查的MGD。这使得女性能够被分配到低、中或高剂量类别,最终对任何筛查参与模式进行终身有效风险(LER)估计。低剂量类别的女性在50至74岁之间接受两年一次的筛查,预计辐射诱发的癌症发病率和死亡率分别为8.64和2.61例/10万。同样,接受相同方案的中剂量或高剂量组女性的发病率和死亡率风险分别为每100000名女性11.76例和3.55例,15.08例和4.55例。这种从一次就诊中确定女性剂量谱和终身风险的新方法将进一步帮助女性在知情同意的情况下参加乳腺筛查,并有助于决策者在探索各种筛查模式和频率的利弊时了解情况。RRIMS是一种新的工具,可以仅使用女性第一次筛查访问的信息来评估女性的终身剂量和风险状况。
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RRIMS: Radiation Risk In Mammography Screening - a novel model for predicting the lifetime dose and risk of radiation-induced breast cancer from the first screening visit.

Objectives: Radiation Risk In Mammography Screening (RRIMS) builds on the prototype, formerly known as Breast-iRRISC, to develop a model that aims to establish a dose and risk profile for females by calculating their lifetime mean glandular dose (MGD) for each age of screening between 40 and 75 years, using only the information from her first screening visit. This is then used to allocate her to a dose category and estimate the lifetime risk of radiation-induced breast cancer incidence and mortality for a population of females in that category.

Methods: This model training was developed using a large dataset of Hologic images containing a total of 20,232 images from 5,076 visits from 4,154 females. The female's breast characteristics and exposure parameters were extracted from the images to calculate the female's MGD throughout a lifetime of screening from just her first screening visit, using modelling of various parameters and their change through time.

Results: This development has ultimately provided a model that uses the female's first screening visit to calculate the received MGD for all ages of potential screening. This has enabled the allocation of females to either a low-, medium-, or high-dose category, ultimately followed by the lifetime effective risk (LER) estimation for any screening attendance pattern. A female in the low-dose category undergoing biennial screening from 50 to 74 years would expect a risk of radiation-induced breast cancer incidence and mortality of 8.64 and 2.61 cases per 100,000 females, respectively. Similarly, a female in the medium- or high-dose category undergoing the same regimen would expect an incidence and mortality risk of 11.76 and 3.55, and 15.08 and 4.55 cases per 100,000 females, respectively.

Conclusions: This novel approach of establishing a female's dose profile and lifetime risk from a single visit will further assist females in their informed consent on breast screening attendance and help inform policy-makers when exploring the benefits and drawbacks of various screening patterns and frequencies.

Advances in knowledge: RRIMS is a novel tool that enables the assessment of a female's lifetime dose and risk profile using only the information from her first screening visit.

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