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Potential influence of automated volumetry on treatment response classifications in lung cancer lesions


To evaluate the potential influence of automated volumetry on treatment response classifications in lung cancer in comparison to manual unidimensional measurements.

Material and methods

  1. 60

    patients (41 men, 19 women, mean age 61.8 ± 9.4 years) with histopathologically verified lung cancer were included in this retrospective study.

For each patient, up to 2 target lesions were quantitatively evaluated in a baseline and two follow-up CT scans (77 lesions, 154 response classifications) by two independent radiologists. Hilar and mediastinal masses, as well as lesions surrounded by atelectasis were excluded.

For each lesion a unidimensional diameter measurement, as well as an automated CT-volumetry was performed. In the follow-up studies, the response evaluation was assessed using RECIST compared to volume equivalents of RECIST with converted thresholds (-65/+73%).


The results of the manual one-dimensional measurements varied between the two observers by 6.34 ± 17.12%, affecting the volume to the power of 3, whereas the volumetric measurements varied only by 3.33 ± 6.66%.

In 16.9% (26/154) of the cases the volumetric assessment led to a different response classification.

In 13% (20/154) of the cases the different response classification would have an effect on therapeutic decisions.


The volumetric assessment of lung cancer lesions can reflect the tumour burden more appropriately and therefore has a significant effect on response classifications and therapeutic decisions.

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Correspondence to Kaveh Akbari.

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Akbari, K., Barthol, A., Schnauder, I. et al. Potential influence of automated volumetry on treatment response classifications in lung cancer lesions. cancer imaging 14 (Suppl 1), P30 (2014).

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