Table 4.

Published studies for predicting lung size from subject demographics.

Authors, year	Subjects	Predictor variables	MAE (L)	RMSE	$R^2$	$R$	MAPE (%)
Kon et al. (2011)10	500	Age, gender, height, race	—	—	—	RLV: 0.72	—
						LLV: 0.70
						TLV: 0.72
Park et al. (2015)12	269	Height, weight, age		pTLV_Male: 0.604	pTLV_Male: 0.208	—	pTLV_Male: 10.9 ± 9.0%
				pTLV_Female: 0.462	pTLV_Female: 0.378	—	pTLV Female: 11.0 ± 8.5%
Konheim et al. (2016)14	500	Age, gender, race, height, BMI, body surface area	—	—	—	RLV: 0.72LLV: 0.69 TLV: 0.72	—
Jung et al. (2016)13	264	Age, height, body surface area	—	—	—	—	pTLC: 16.4 ± 11.8%
Suryapalam et al. (2021)23	480	Height, weight, age, sex, ethnicity	—	—	pRLV_Male: 0.131	—	—
					pLLV_Female: 0.136
Our study	4610	Age, gender, race, height, weight, smoking status, cigarette package year	pTCV: 0.7 ± 0.6 pRLV: 0.4 ± 0.3 pLLV: 0.4 ± 0.3 pTLV: 0.7 ± 0.6 pHV: 0.1 ± 0.1	—	pTCV: 0.628 pRLV: 0.501 pLLV: 0.507 pTLV: 0.514 pHV: 0.430	—	pTCV: 10.9 ± 9.2% pRLV: 13.9 ± 12.5% pLLV: 15.2 ± 14.0% pTLV: 14.0 ± 12.5% pHV: 13.9 ± 11.4%

MAE, mean absolute error; RMSE, the root mean square; MAPE, mean absolute percentage error; F, female; M, male.