@article {1433645,
	title = {Implementation and Performance of Automated Software for Computing Right-to-Left Ventricular Diameter Ratio From Computed Tomography Pulmonary Angiography Images},
	journal = {J Comput Assist Tomogr},
	volume = {40},
	number = {3},
	year = {2016},
	month = {2016 May-Jun},
	pages = {387-92},
	abstract = {OBJECTIVE: The aim of this study was to prospectively test the performance and potential for clinical integration of software that automatically calculates the right-to-left ventricular (RV/LV) diameter ratio from computed tomography pulmonary angiography images.

METHODS: Using 115 computed tomography pulmonary angiography images that were positive for acute pulmonary embolism, we prospectively evaluated RV/LV ratio measurements that were obtained as follows: (1) completely manual measurement (reference standard), (2) completely automated measurement using the software, and (3 and 4) using a customized software interface that allowed 2 independent radiologists to manually adjust the automatically positioned calipers.

RESULTS: Automated measurements underestimated (P < 0.001) the reference standard (1.09 [0.25] vs1.03 [0.35]). With manual correction of the automatically positioned calipers, the mean ratio became closer to the reference standard (1.06 [0.29] by read 1 and 1.07 [0.30] by read 2), and the correlation improved (r = 0.675 to 0.872 and 0.887). The mean time required for manual adjustment (37 [20] seconds) was significantly less than the time required to perform measurements entirely manually (100 [23] seconds).

CONCLUSIONS: Automated CT RV/LV diameter ratio software shows promise for integration into the clinical workflow for patients with acute pulmonary embolism.},
	keywords = {Algorithms, Computed Tomography Angiography, Heart Ventricles, Humans, machine learning, Middle Aged, Observer Variation, Organ Size, Pattern Recognition, Automated, Pulmonary Artery, Pulmonary Embolism, Radiographic Image Enhancement, Radiographic Image Interpretation, Computer-Assisted, Reproducibility of Results, Sensitivity and Specificity, Software},
	issn = {1532-3145},
	doi = {10.1097/RCT.0000000000000375},
	author = {Kumamaru, Kanako K and George, Elizabeth and Aghayev, Ayaz and Saboo, Sachin S and Khandelwal, Ashish and Rodr{\'\i}guez-L{\'o}pez, Sara and Cai, Tianrun and Jim{\'e}nez-Carretero, Daniel and San Jos{\'e} Est{\'e}par, Ra{\'u}l and Ledesma-Carbayo, Maria J and Gonz{\'a}lez, Germ{\'a}n and Rybicki, Frank J.}
}