Image-derived cardiomegaly biomarker values for 96K chest X-rays in MIMIC-CXR/MIMIC-CXR-JPG

Cardiomegaly is a condition characterized by an abnormal enlargement of the
heart, its identification is of paramount importance as it associate with a
wide range of cardiac conditions. It is primary identified via the
cardiothoracic ratio (CTR), however this metric can be inaccurate as it is
affect by external factors such as breathing and body position. Multimodal
approaches could mitigate these limitations by integrating non-imaging data,
however reliable and explainable integration of imaging and non-imaging data
remains a significant challenge. While this database does not directly use
multimodal data, it hopes to tackle this challenge by extracting cardiomegaly
biomarkers (CTR and cardiopulmonary area ratio) from chest X-rays. Thus
encapsulating the relevant imaging information into individual datapoints,
allowing easy integration of 'imaging' data with non-imaging data for more
reliable diagnostic tools. The values were extracted from over 93,000
posterior-anterior MIMIC-CXR scans using detection and segmentation neural
networks, tuned for cardiac and pulmonary identification.

心脏增大（Cardiomegaly）是一种以心脏异常增大为特征的病症，其识别具有至关重要的临床价值，因该病症与多种心脏疾病存在关联。目前该病主要通过心胸比（CTR）进行初步识别，但该指标易受呼吸状态、身体体位等外部因素影响，存在准确性缺陷。多模态方法可通过整合非影像数据来缓解此类局限，但实现影像与非影像数据的可靠且可解释的整合仍是一项重大挑战。尽管本数据集并未直接使用多模态数据，但其旨在通过从胸部X线影像中提取心脏增大相关生物标志物（CTR与心肺面积比）来应对这一挑战。通过将相关影像信息封装至单个数据点中，可方便地将“影像”数据与非影像数据进行整合，进而构建更可靠的诊断工具。研究团队针对心脏与肺部结构识别对检测及分割神经网络进行了调优，从超过93000例后前位MIMIC-CXR扫描影像中提取了上述指标值。