Assessing Chemotherapeutic Response in Pancreatic Ductal Adenocarcinoma: Histogram Analysis of Iodine Concentration and CT Number in Single-Source Dual-Energy CT

• Published in: American journal of roentgenology (1976) Vol. 211; no. 6; pp. 1221 - 1226
• Main Authors: Noda, Yoshifumi, Goshima, Satoshi, Miyoshi, Toshiharu, Kawada, Hiroshi, Kawai, Nobuyuki, Tanahashi, Yukichi, Matsuo, Masayuki
• Format: Journal Article
• Language: English
• Published: United States 01.12.2018
• Subjects: pancreatic cancer; iodine; MDCT; chemotherapy; contrast media
• ISSN: 0361-803X; 1546-3141
• DOI: 10.2214/ajr.18.19791

The objective of this study was to evaluate the feasibility of histographic analysis of iodine concentration (IC) and CT number on single-source dual-energy CT (DECT) to assess response to first-line chemotherapy in patients with pancreatic ductal adenocarcinoma (PDAC) who received first-line chemotherapy but not radiation therapy. This prospective study was approved by our institutional review board, and patients gave written informed consent. Sixty consecutive patients with PDAC undergoing first-line chemotherapy underwent DECT during the pancreatic parenchymatous phase (PPP) and the equilibrium phase (EP). The IC and CT number of PDAC were measured using PPP and EP iodine-based material decomposition and monochromatic images (65 keV), respectively. Histographic parameters for the IC and CT number of PDACs were obtained, and differences in mean IC (ΔIC) and CT number (ΔHU) between the PPP and the EP were calculated. These parameters were then compared between the response (partial response or stable disease) and nonresponse (progressive disease) groups. Among the histographic parameters, the kurtosis of IC during the PPP (p = 0.018) and ΔIC (p = 0.0004) were identified as significant for differentiating between the two groups. IC diagnostic factor was calculated using the following coefficients of logistic regression analysis: 0.52 - (1.45 × kurtosis of IC during PPP) + (0.69 × ΔIC). The sensitivity, specificity, and area under the ROC curve for differentiating between the two groups were 97.7%, 70.6%, and 0.889, respectively. The IC diagnostic factor is a potential biomarker for assessing chemotherapeutic response in patients with PDAC.