To our knowledge, it has not been analyze whether 3D printed liver model would improve the perception of a given liver tumor or the precision of operation planning in liver surgery. We design this prospective controlled trial to test whether the 3D-printed patient specific liver model could be more informative than standard MDCT (multi-row detector computed tomography ) and 3D visualization system in predicting the surgical anatomy of liver.
The primary objective was to investigate whether 3D printing can improve localization of hepatic pathology. The secondary objective was to investigate whether 3D printing can improve the precision of surgical proposal. The dataset of patients were prepared and stratified into MDCT, 3D visualization system and 3D printed liver model groups. The process started from MDCT scan image acquisition and moved through image segmentation and 3D rendering to end up with 3D printing. Surgical residents were assigned to three different groups to study different modes of patients' data. Residents were ask to state the liver segment in which the tumor resides and make a minimal resection proposal, including the tumor, the safety margin (1cm) and the dependent liver tissue. Residents were recommended to proceed in a classic way by resecting the whole liver segment. The time spent by each resident was also recorded in order to assess the quickness of comprehension and information transfer of the three different modes of presentation.
Study Type
OBSERVATIONAL
Enrollment
59
Surgical residents were assigned to three different groups to evaluate different modes of patients' data. Residents were ask to state the liver segment in which the tumor resided and make a minimal resection proposal, including the tumor, the safety margin (1cm) and the dependent liver tissue. Residents were recommended to proceed in a classic way by resecting the whole liver segment. The time spent by each resident was also recorded in order to assess the quickness of comprehension and information transfer of the three different modes of presentation.
he Fifth People's Hospital of Dongguan City
Dongguan, Guangdong, China
The primary outcomes was the precise allocation of hepatic disease
For tumor allocation to the liver segments, 8 points were awarded if all segments were correctly identified in which the tumors resided. If the tumors was located in more than one segment, the 8 maximal achievable points were divided between these segments. Erroneously identified segments were awarded 0 point. Alternatively, the primary outcomes were also simply judged as right or wrong according to the final surgical results.
Time frame: The primary outcome was assessed within 1 week after the collection of each participants' response.
Resection proposal of liver pathology
he resection proposals on the liver were compared with surgical results that had been evaluated by surgeons and judged by the formula mentioned earlier.
Time frame: The secondary outcome was assessed within 1 week after the collection of each participants' response.
Time spent to judge tumor location
The time spend to assess tumor location by each resident was documented as seconds
Time frame: The secondary outcome was assessed within 1 week after the collection of each participants' response.
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