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CT Perfusion Imaging Can Predict Patients' Survival and Early Response to Transarterial Chemo-Lipiodol Infusion for Liver Metastases from Colorectal Cancers.

Lv WF, Han JK, Cheng DL, Zhou CZ, Ni M, Lu D - Korean J Radiol (2015)

Bottom Line: The percentage change of CTPI parameters of target lesions were compared between responders and non-responders at 1 month after TACLI.The best cut-off value was -21.5% and patients who exhibited a ≥ 21.5% decrease in HAP had a significantly higher overall survival rate than those who exhibited a < 21.5% decrease (p < 0.001).The percentage change in HAP after TACLI with a cutoff value of -21.5% is the optimal predictor.

View Article: PubMed Central - PubMed

Affiliation: PET/CT Center, Qilu Hospital, First Affiliated Hospital of Shandong University, Jinan 250012, China. ; Department of Radiology, Affiliated Anhui Provincial Hospital of Anhui Medical University, Hefei 230001, China.

ABSTRACT

Objective: To prospectively evaluate the performance of computed tomography perfusion imaging (CTPI) in predicting the early response to transarterial chemo-lipiodol infusion (TACLI) and survival of patients with colorectal cancer liver metastases (CRLM).

Materials and methods: Computed tomography perfusion imaging was performed before and 1 month after TACLI in 61 consecutive patients. Therapeutic response was evaluated on CT scans 1 month and 4 months after TACLI; the patients were classified as responders and non-responders based on 4-month CT scans after TACLI. The percentage change of CTPI parameters of target lesions were compared between responders and non-responders at 1 month after TACLI. The optimal parameter and cutoff value were determined. The patients were divided into 2 subgroups according to the cutoff value. The log-rank test was used to compare the survival rates of the 2 subgroups.

Results: Four-month images were obtained from 58 patients, of which 39.7% were responders and 60.3% were non-responders. The percentage change in hepatic arterial perfusion (HAP) 1 month after TACLI was the optimal predicting parameter (p = 0.003). The best cut-off value was -21.5% and patients who exhibited a ≥ 21.5% decrease in HAP had a significantly higher overall survival rate than those who exhibited a < 21.5% decrease (p < 0.001).

Conclusion: Computed tomography perfusion imaging can predict the early response to TACLI and survival of patients with CRLM. The percentage change in HAP after TACLI with a cutoff value of -21.5% is the optimal predictor.

No MeSH data available.


Related in: MedlinePlus

Flowchart of patient enrollment and study design.CRLM = colorectal cancer liver metastases, CTPI = computed tomography perfusion imaging, TACLI = transarterial chemo-lipiodol infusion
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Figure 1: Flowchart of patient enrollment and study design.CRLM = colorectal cancer liver metastases, CTPI = computed tomography perfusion imaging, TACLI = transarterial chemo-lipiodol infusion

Mentions: Liver CTPI before and 1 month after TACLI were performed on 61 patients (41 men and 20 women, with a mean age of 56.9 ± 14.7 years and a range of 38 to 76 years). Among the 61 patients, 3 died before the 4-month imaging follow-up. The deceased patients were included in the survival analysis (Fig. 1). The baseline characteristics were summarized in Table 1.


CT Perfusion Imaging Can Predict Patients' Survival and Early Response to Transarterial Chemo-Lipiodol Infusion for Liver Metastases from Colorectal Cancers.

Lv WF, Han JK, Cheng DL, Zhou CZ, Ni M, Lu D - Korean J Radiol (2015)

Flowchart of patient enrollment and study design.CRLM = colorectal cancer liver metastases, CTPI = computed tomography perfusion imaging, TACLI = transarterial chemo-lipiodol infusion
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4499545&req=5

Figure 1: Flowchart of patient enrollment and study design.CRLM = colorectal cancer liver metastases, CTPI = computed tomography perfusion imaging, TACLI = transarterial chemo-lipiodol infusion
Mentions: Liver CTPI before and 1 month after TACLI were performed on 61 patients (41 men and 20 women, with a mean age of 56.9 ± 14.7 years and a range of 38 to 76 years). Among the 61 patients, 3 died before the 4-month imaging follow-up. The deceased patients were included in the survival analysis (Fig. 1). The baseline characteristics were summarized in Table 1.

Bottom Line: The percentage change of CTPI parameters of target lesions were compared between responders and non-responders at 1 month after TACLI.The best cut-off value was -21.5% and patients who exhibited a ≥ 21.5% decrease in HAP had a significantly higher overall survival rate than those who exhibited a < 21.5% decrease (p < 0.001).The percentage change in HAP after TACLI with a cutoff value of -21.5% is the optimal predictor.

View Article: PubMed Central - PubMed

Affiliation: PET/CT Center, Qilu Hospital, First Affiliated Hospital of Shandong University, Jinan 250012, China. ; Department of Radiology, Affiliated Anhui Provincial Hospital of Anhui Medical University, Hefei 230001, China.

ABSTRACT

Objective: To prospectively evaluate the performance of computed tomography perfusion imaging (CTPI) in predicting the early response to transarterial chemo-lipiodol infusion (TACLI) and survival of patients with colorectal cancer liver metastases (CRLM).

Materials and methods: Computed tomography perfusion imaging was performed before and 1 month after TACLI in 61 consecutive patients. Therapeutic response was evaluated on CT scans 1 month and 4 months after TACLI; the patients were classified as responders and non-responders based on 4-month CT scans after TACLI. The percentage change of CTPI parameters of target lesions were compared between responders and non-responders at 1 month after TACLI. The optimal parameter and cutoff value were determined. The patients were divided into 2 subgroups according to the cutoff value. The log-rank test was used to compare the survival rates of the 2 subgroups.

Results: Four-month images were obtained from 58 patients, of which 39.7% were responders and 60.3% were non-responders. The percentage change in hepatic arterial perfusion (HAP) 1 month after TACLI was the optimal predicting parameter (p = 0.003). The best cut-off value was -21.5% and patients who exhibited a ≥ 21.5% decrease in HAP had a significantly higher overall survival rate than those who exhibited a < 21.5% decrease (p < 0.001).

Conclusion: Computed tomography perfusion imaging can predict the early response to TACLI and survival of patients with CRLM. The percentage change in HAP after TACLI with a cutoff value of -21.5% is the optimal predictor.

No MeSH data available.


Related in: MedlinePlus