Benefits of the multiplanar and volumetric analyses of pancreatic cancer using computed tomography.
Moon Hyung ChoiSeung Bae YoonMeiying SongIn Seok LeeTae Ho HongMyung Ah LeeEun Sun JungPublished in: PloS one (2020)
Although pancreatic cancer tumors are irregularly shaped in terms of their three-dimensional (3D) structure, when T staging by imaging results, generally only the axial plane is used to measure the largest tumor diameter. We investigated the size of pancreatic cancer tumors using multi-plane and 3D reconstructed computed tomography (CT) images and investigated their clinical usefulness. Patients who underwent surgery for pancreatic adenocarcinoma were included. We measured the largest diameter of each pancreatic tumor in the axial, coronal, and sagittal planes of CT images. In addition, maximal diameter and cancer volume were measured from 3D images that were constructed using a semi-automated software system. Final data were compared with pathologic examination and the effect of each value on prognosis was analyzed. A total of 183 patients were analyzed. The maximal diameters measured on the axial, coronal, and sagittal planes were 2.9 ± 1.1, 3.2 ± 0.9, and 3.2 ± 1.0 cm, respectively, which were significantly smaller than pathologic results (3.4 ± 1.4 cm, all p<0.05 by paired t-test). The longest diameter among them (3.4 ± 1.1 cm) was nearly similar to the pathologic diameter. Cancer volume measured on 3D images demonstrated a higher area under the receptor operating characteristic curve [0.714, (95% confidence interval: 0.640-0.788)] for predicting early death compared to any unidimensional CT diameters measured. The longest pancreatic tumor diameter measured on multiplanar CT images was most accurate when compared to its corresponding pathologic diameter. Tumor volume had a stronger correlation with overall survival than tumor diameter.
Keyphrases
- computed tomography
- optic nerve
- deep learning
- dual energy
- image quality
- optical coherence tomography
- end stage renal disease
- positron emission tomography
- convolutional neural network
- contrast enhanced
- neoadjuvant chemotherapy
- ejection fraction
- newly diagnosed
- chronic kidney disease
- magnetic resonance imaging
- peritoneal dialysis
- high resolution
- papillary thyroid
- squamous cell carcinoma
- locally advanced
- radiation therapy
- minimally invasive
- machine learning
- heart rate
- electronic health record
- blood pressure
- pet ct
- rectal cancer
- coronary artery bypass
- patient reported outcomes
- atomic force microscopy
- fluorescence imaging
- single molecule
- percutaneous coronary intervention