Wang Sina, Xu Zeyuan, Zheng Bowen, Zeng Hui, Pan Derun, Ma Mengwei, Chen Weiguo, Qin Genggeng
Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, PR China.
Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, PR China.
BMC Med Imaging. 2025 Aug 11;25(1):322. doi: 10.1186/s12880-025-01862-3.
To evaluate the effectiveness of a geometric model (GM) as an adjunctive tool for radiologists to match lesions between craniocaudal (CC) and mediolateral (MLO) views.
A retrospective study was conducted on 711 patients who underwent mammography from January 2016 to August 2018. Two senior radiologists used bounding boxes to delineate lesions as the reference standard, calculated the absolute error (the shortest distance from the lesion center to the predicted curve) of GM, and compared it with the annular band (AB) and straight strip (SS) methods. Four radiologists of varying seniority levels were tasked with localizing the corresponding lesion in MLO view using a bounding box, based on the given lesion in CC views, and recording reading time per case with or without GM assistance. The Dice coefficient was used to evaluate the overlap between the bounding box and the reference standard.
Overall, 499 calcification and 212 mass pairs were evaluated. GM outperformed both AB and SS, yielding a median absolute error of 3.03 mm (IQR 1.45-5.55 mm) versus 5.78 mm (IQR 2.44-10.71 mm) for AB and 4.59 mm (IQR 1.91-8.19 mm) for SS (P < 0.001). With GM assistance, all four radiologists achieved improved Dice coefficients and reduced reading times (all P < 0.001). Stratified analysis by lesion conspicuity demonstrated that GM assistance significantly enhanced Dice coefficients for all radiologists in the low-conspicuity group and improved matching consistency for junior radiologists.
The geometric model holds substantial promise as a valuable tool to assist radiologists in more effectively localizing lesions in ipsilateral mammograms, thereby potentially enhancing diagnostic accuracy and efficiency.
评估几何模型（GM）作为放射科医生在头尾位（CC）和内外侧斜位（MLO）视图之间匹配病变的辅助工具的有效性。
对2016年1月至2018年8月期间接受乳腺X线摄影的711例患者进行回顾性研究。两名资深放射科医生使用边界框将病变描绘为参考标准，计算GM的绝对误差（病变中心到预测曲线的最短距离），并将其与环形带（AB）和直条（SS）方法进行比较。四名不同资历水平的放射科医生的任务是根据CC视图中给定的病变，使用边界框在MLO视图中定位相应病变，并记录有无GM辅助时每个病例的读取时间。Dice系数用于评估边界框与参考标准之间的重叠。
总体上，评估了499对钙化和212对肿块。GM的表现优于AB和SS，中位绝对误差为3.03毫米（IQR 1.45 - 5.55毫米），而AB为5.78毫米（IQR 2.44 - 10.71毫米），SS为4.59毫米（IQR 1.91 - 8.19毫米）（P < 0.001）。在GM辅助下，所有四名放射科医生的Dice系数均得到改善，读取时间减少（所有P < 0.001）。按病变清晰度进行的分层分析表明，GM辅助显著提高了低清晰度组中所有放射科医生的Dice系数，并提高了初级放射科医生的匹配一致性。
几何模型作为一种有价值的工具，在协助放射科医生更有效地在同侧乳腺X线片中定位病变方面具有很大潜力，从而有可能提高诊断准确性和效率。
