Published online May 28, 2016. doi: 10.3748/wjg.v22.i20.4835
Peer-review started: February 28, 2016
First decision: March 21, 2016
Revised: March 29, 2016
Accepted: April 20, 2016
Article in press: April 20, 2016
Published online: May 28, 2016
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Hepatocellular carcinoma (HCC) is one of the major causes of morbidity and mortality in patients with chronic liver disease. Transarterial chemoembolization (TACE) can significantly improve the survival rate of patients with HCC and is the first treatment choice for patients who are not suitable for surgical resections. The evaluation of the response to TACE treatment affects not only the assessment of the therapy efficacy but also the development of the next step in the treatment plan. The use of imaging to examine changes in tumor volume to assess the response of solid tumors to treatment has been controversial. In recent years, the emergence of new imaging technology has made it possible to observe the response of tumors to treatment prior to any morphological changes. In this article, the advances in studies reporting the use of computed tomography perfusion imaging, diffusion-weighted magnetic resonance imaging (MRI), intravoxel incoherent motion, diffusion kurtosis imaging, magnetic resonance spectroscopy, magnetic resonance perfusion-weighted imaging, blood oxygen level-dependent MRI, positron emission tomography (PET)/computed tomography and PET/MRI to assess the TACE treatment response are reviewed.
Core tip: Imaging studies play an important role in the evaluation of the response to transarterial chemoembolization treatment. The use of imaging to examine changes in tumor size to assess the response of solid tumors to treatment has been controversial. In recent years, the emergence of new imaging technologies has made it possible to observe the response of tumors to treatment prior to any morphological changes. In this article, we present a summary of the most recent information on the role of imaging in assessing the treatment response in hepatocellular carcinomas.
- Citation: Yang K, Zhang XM, Yang L, Xu H, Peng J. Advanced imaging techniques in the therapeutic response of transarterial chemoembolization for hepatocellular carcinoma. World J Gastroenterol 2016; 22(20): 4835-4847
- URL: https://www.wjgnet.com/1007-9327/full/v22/i20/4835.htm
- DOI: https://dx.doi.org/10.3748/wjg.v22.i20.4835
Hepatocellular carcinoma (HCC) is one of the major causes of morbidity and mortality in patients with chronic liver disease. Due to the undetected onset of liver cancer, the majority of patients receiving treatment are already in the advanced stage and are no longer candidates for surgical resection. Transarterial chemoembolization (TACE) involves the local infusion of a mixture of chemotherapeutic agents, blocks the blood supply to cancerous lesions and induces ischemia and necrosis in the tumor tissue, thereby significantly improving the survival rate of patients with liver cancer[1-4]. Currently, TACE has been recommended as the standard treatment for patients with stage B (Barcelona Clinic Liver Cancer staging) HCC[5,6]. The assessment of the response of HCC to TACE treatment affects not only the evaluation of the therapeutic efficacy but also the development of the next step in the treatment plan, including the time and frequency of repeated chemoembolization[7]. The previous World Health Organization and Response Evaluation Criteria in Solid Tumors criteria for evaluating the response of solid tumors to treatment depended on the measurement of tumor size[8]. The use of conventional imaging techniques to examine changes in tumor size to assess the response of solid tumors to treatment has been controversial, as many HCC treatments act by inducing tumor necrosis or by reducing vascularity, which is not necessarily accompanied by tumor shrinkage even when response occurs; notably, some tumors clearly respond to treatment but show no remarkable changes in size[9,10]. In recent years, the assessment of tumor viability has attracted increasing attention. The modified Response Evaluation Criteria in Solid Tumors criteria recommended by the European Association for the Study of the Liver consider the treatment factors leading to tumor necrosis and define the lesions that uptake a contrasting agent in the arterial phase as the surviving tumor after treatment[11]. In recent years, the emergence of new imaging technologies has made it possible to observe the response of tumors to treatment prior to any morphological changes. In this article, studies reporting advances in the use of computed tomography perfusion imaging (CTPI), diffusion-weighted magnetic resonance imaging (DWI), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), magnetic resonance spectroscopy (MRS), magnetic resonance perfusion-weighted imaging (MR PWI), blood oxygen level-dependent magnetic resonance imaging (BOLD MRI), positron emission tomography/computed tomography (PET/CT) and PET/MRI to assess the response to TACE treatment are reviewed.
Lipiodol is an ideal embolic agent commonly used in TACE treatment for HCC, and studies have shown that the deposition of lipiodol in the lesions is correlated with antitumor effects[12]. Conventional CT scanning has been widely used in the evaluation and follow-up of the efficacy of TACE treatment for HCC. Though CT can be used to visualize the distribution of lipiodol within the lesions, the high density deposition of lipiodol in tumor tissue can significantly affect the judgment of the viability of the tumor by CT.
CTPI not only clearly shows anatomy of the liver but also reflects changes in liver hemodynamics by allowing the quantitative analysis of blood perfusion in the liver tissue. CTPI performs continuous dynamic scans on selected slices while a contrast agent is intravenously injected, resulting in a curve that reflects the density changes of each pixel within the slice over time (time-density curve). A variety of mathematical models are then used to calculate the various perfusion parameters of the tissues and organs to evaluate the blood perfusion status[13-16] (Figure 1). The main parameters measured by CTPI include hepatic arterial perfusion (HAP), hepatic portal perfusion (HPP), total liver perfusion (TLP), hepatic arterial perfusion index (HAPI), hepatic portal perfusion index (HPPI), blood volume (BV) and mean transit time (MTT). Early CTPI scans used a single-slice continuous dynamic scan mode, but with progress in the development of multi-slice CT and software technology, CTPI has advanced from single-slice perfusion scans to multi-slice and same slice dynamic CT perfusion scans. Currently, spiral CT involving 64 or more slices can be used to conduct full-size liver perfusion scans with greatly improved temporal and spatial resolutions, which allows for the acquisition of more comprehensive hemodynamic information in a single scan. Moreover, lesions distant from the hilum can also be measured using CTPI, which has further promoted the clinical application of this technique[17-19].
The blood supply to HCC is one of the main factors affecting the efficacy of TACE treatment[20]. Increased blood supply to the HCC is associated with greater lipiodol accumulation after TACE treatment, whereas reduced blood supply to the HCC results in rather small amounts of lipiodol deposition in the treated lesions[21].
Many investigators have examined the effectiveness of CTPI in evaluating the response of HCC to TACE treatment, suggesting that CT perfusion imaging can accurately measure blood perfusion to the tumor and thus could be used to evaluate the response to TACE therapy[22-27]. Chen et al[22] assessed the changes in the CT perfusion parameters pre- and post-TACE in thirty-nine HCC patients in different treatment response groups. In the partial response (PR) treatment response group, the HAP, hepatic arterial fracture (HAF) and hepatic blood volume (HBV) of viable tumors post-TACE were reduced compared with their pre-TACE values. In the stable disease (SD) group, however, none of the CT perfusion parameters were significantly different pre- and post-TACE. In the progressive disease (PD) group, the post-TACE values for HAP, HAF, portal vein perfusion (PVP) and hepatic blood flow (HBF) of viable tumors were significantly increased compared to the pre-TACE values. These results indicated that changes in the CT perfusion parameters of viable tumors are correlated with responses of HCC to TACE, which can be feasibly monitored using CTPI. Reiner et al[23] studied sixteen patients with HCC who received CT liver perfusion during the treatment planning stage prior to transarterial radioembolization with Yttrium-90 (90Y) microspheres. The results showed that when responders were compared to non-responders, the 50th and 75th percentiles of arterial perfusion were significantly different and that the response to therapy could be predicted with a sensitivity of 88% and specificity of 75%. Our own studies[9,21] have shown that the CT perfusion parameters of HCC (HAP, TLP and HAPI) significantly decreased after TACE treatment[9] and that the blood perfusion parameters of the HCC lesions were correlated with post-TACE lipiodol deposition. Moreover, increased amounts of blood perfusion were associated with the increased deposition of lipiodol, and vice versa[21]. On the CT perfusion images, the areas with densely deposited lipiodol in the residual lesions in cases with complete or partial response (PR) displayed the complete absence of blood perfusion[9].
These results show that CTPI can be used to accurately measure the changes in perfusion parameters after TACE treatment for HCC and to evaluate the response to TACE therapy prior to changes in tumor size. CTPI can also be used to predict the efficacy of TACE therapy for HCC, to help select appropriate patients for TACE therapy and to develop individualized treatment programs.
C-arm CT has emerged in recent years and can quantitatively measure the blood volume (BV) changes in tumor tissues. This technique has dramatically increased the convenience of assessing the response to TACE therapy[28-30]. Peynircioğlu et al[30] performed radioembolization (n = 21) or TACE (n = 13) treatment on thirty-four patients with HCC and used C-arm CT to measure the tumor BV before and after treatment. These cases were compared to ten cases in which perfusion imaging was performed using multidetector computed tomography (MDCT). The results showed that the mean BV of fourteen tumor lesions in the ten MDCT perfusion patients was highly correlated with the BV values obtained with C-arm CT. After treatment with TACE or radioembolization, the BV values decreased significantly, suggesting that the quantitative BV measurements obtained using C-arm CT are well-correlated with those obtained using MDCT; thus, C-arm CT is a promising tool for monitoring perfusion changes during hepatic arterial embolization. Currently, C-arm CT is mainly used to measure BV, but with the further development of this method, additional parameters can be used in the evaluation of TACE in the clinical treatment of HCC.
The main shortcoming of CTPI is that perfusion CT studies increase radiation exposure. In the future, with improvements to the equipment and technology, the radiation dose will be reduced.
DWI is currently the only non-invasive imaging technique that can detect the free diffusion motion (Brownian motion) of water molecules in living tissue. Detecting the free diffusion motion of water molecules in the human body enables magnetic resonance at the molecular level. DWI not only reflects the dispersion characteristics of various tissues but also enables quantitative analyses of the microscopic structures and functional changes of tissues and organs. Though DWI has mainly been used in studies of central nervous system diseases[31-33], this technique is increasingly being applied to abdominal examinations[34-42]. At present, the commonly used single-time spin echo-echo planar imaging (SE-EPI) can image in rapid sequence and only takes 20-30 s to complete a liver scan[43], prompting the application of SE-EPI in the diagnosis and treatment of liver diseases.
DWI enables quantitative analyses by measuring the apparent diffusion coefficient (ADC) value. Thus, this technique can be used in assessing the effectiveness of TACE treatment for HCC[44-47]. After TACE therapy for HCC, the tumor cells undergo necrosis and decrease in number, the gaps between cells enlarge, and structures such as the cell membranes are damaged or dissolved, leading to enhanced water diffusion capacity and an increased ADC value. When the tumor survives or recurs, however, the ADC value does not increase or decrease. Bonekamp[44] used TACE therapy to treat seventy-one HCC lesions in forty-eight patients and performed MRI scans before the TACE treatment and one and six months after the treatment to monitor the ADC and venous enhancement (VE) as the tumor changed in size. The results demonstrated that thirty HCC lesions showed PR, thirty-five showed SD, and six showed PD 6 mo after TACE. Increase in ADC and decrease in VE 1 mo after TACE were significantly different between PR, SD, and PD. Yu et al[45] used enhanced MRI and DWI scans in twenty-three patients with liver cancer who had received TACE treatment, finding a total of twenty-three recurrent nodules in sixteen cases; the overall sensitivity in DWI was increased from 85.0% to 92.0%, though the specificity was decreased from 65.0% to 50.0%. The pre-TACE tumor ADC can be used to predict the response of HCC to TACE treatment. Mannelli et al[47] conducted DWI scans on thirty-six patients receiving TACE treatment for HCC and found that HCCs with poor and incomplete responses to TACE had significantly lower pre-treatment values of ADC and lower post-TACE values of ADC compared to HCCs with good or complete responses.
The shortcomings of DWI include EPI-related artifacts, such as deformation artifacts. Moreover, the ADC values of benign and malignant nodules in the liver overlap to some extent, and discriminating between these values requires a combination of medical history and other test results. Many factors that influence the ADC value, including the MR device, scan parameters (TR and TE), the b-value and the ROI, should be investigated in the future.
During DWI imaging, the b-value (a gradient factor) determines the sensitivity of the diffusion motion of water molecules in the tissue under analysis while affecting the accuracy of the ADC value. A low b-value enables the acquisition of images with a high SNR but lowers the sensitivity to the diffusion motion, resulting in a higher impact exerted by the blood perfusion on the DWI imaging. Under a high b-value, blood perfusion only has a small impact on DWI imaging, but the tissue contrast is decreased, leading to poor image quality[35,48-50].
IVIM, a multi-b-value diffusion-weighted imaging approach based on the principle of DWI, uses quantitative indicators to show the molecular diffusion and microperfusion of the local capillary network in lesions. The commonly used parameters include the true molecular-diffusion coefficient (D), the perfusion-related diffusion coefficient (D*) and the perfusion fraction (f). Compared with DWI, IVIM better reveals the diffusion effect of water molecules within a lesion and is thus more conducive to making judgments regarding the nature of liver lesions[51-55]. Watanabe et al[51] performed IVIM imaging on a total of 120 liver lesions (including 34 metastases, 32 HCC, 33 hemangiomas and 21 liver cysts) in seventy-four patients and showed that the mean D and ADC values of the benign lesions were greater than those of malignant lesions. The area under the ROC curve for the ADC values was significantly greater than that for the D values, which enabled the differentiation between benign and malignant lesions. When an ADC cut-off value of 1.40 was applied, the sensitivity and specificity for the detection of malignant lesions were 89% and 98%, respectively. Other studies have shown similar results[52-55] (Figure 2).
The applications of IVIM in cancer treatment evaluation have mainly focused on radiotherapy or chemotherapy in head and neck cancers and in breast cancer[56-67]. In recent years, some investigators have applied IVIM in the anti-angiogenesis therapy of liver cancer (including metastatic liver cancer) or radiofrequency ablation therapy[68-73]. Guo et al[71] investigated the use of IVIM-DWI to monitor the responses of VX2 tumors to radiofrequency ablation (RF Ablation) therapy in 10 VX2 tumor-bearing rabbits, showing that the IVIM-DWI derived f, D and D* parameters have the potential to indicate the response to therapy immediately after the RF ablation treatment. Shirota et al[72] evaluated the association between the therapeutic outcomes of sorafenib for advanced HCC and the parameters of IVIM. Though the true diffusion coefficient (DC) of responders at baseline was significantly higher than that of the non-responders, no significant differences were found in the other parameters between these two groups. These results indicated that the DC before treatment may be a useful parameter for predicting the therapeutic outcome of using sorafenib to treat advanced HCC.
The use of IVIM to assess the response to TACE treatment in liver cancer has rarely been reported. Park et al[74] performed IVIM-DWI and Gd-EOB-DTPA-enhanced MRI scans before TACE therapy in forty-four cases of HCC and conducted CT scans after the TACE treatment. The patients were divided into two groups, the lipiodol good uptake (LGU) group and the lipiodol poor uptake (LPU) group, based on lipiodol deposition, and the results showed that both the arterial enhancement ratio derived from the contrast enhanced MRI and the D* values derived from IVIM-DWI were significantly higher in the LGU group than in the LPU group, indicating that the parameters of IVIM could help to predict lipiodol uptake.
The theoretical basis of the DWI and IVIM technologies is that the diffusion of water molecules in vivo assumes a normal distribution. In fact, due to the differences in structures and functions of local tissues and cells, the diffusion of water molecules in vivo is often a non-normal distribution. DKI is based on the non-normal distribution diffusion of water molecules in vivo, and the parameters of DKI measurements include the S, K and D values. DKI is still largely in the research phase, but this technique is being explored in wider clinical studies primarily focused on central nervous system diseases[75-83]. It is encouraging that some investigators have recently begun to use DKI in experiments to investigate its applications in liver diseases both in vitro and in vivo. Rosenkrantz et al[84] performed DKI and DWI scans on in vitro samples from twelve HCC cases and showed that the DKI model may provide additional value in characterizing HCC compared to a standard monoexponential model of DWI. Filli et al[85] also found that whole-body DKI is technically feasible and may reflect the tissue microstructure more meaningfully than whole-body DWI. Goshima et al[86] studied sixty-two consecutive patients with HCC to compare the use of DKI and conventional DWI in assessing the response to treatment. They found that compared to the non-viable group, the mean kurtosis (MK) value and mean ADC value in the viable group were significantly higher and lower, respectively. The sensitivity, specificity and AUC of the ROC curve for the assessment of HCC viability were greater using MK compared to ADC. These results indicated that DKI can be a new option for assessing the post-therapeutic response in HCC.
The results described above indicate that in the near future, DKI will play an important role in evaluating the response of liver cancer to TACE treatment.
Based on chemical shift effects and MRI principles, MRS uses a Fourier transform to process free induction decay signals to convert them into spectra with distributed frequencies. The areas under different metabolic peaks along the MRS frequency axis reflect the different concentrations of different compounds and can be quantitatively measured and analyzed. Thus, MRS not only truly reflects the molecular and chemical compositions of a tissue but also indirectly depicts the metabolism in the tissue[87].
The commonly used nuclei in MRS measurements of the liver are mainly ³¹P and ¹H. By using ¹H-MRS to determine the amounts and ratios of choline and its derivatives after TACE treatment for liver cancer, it is possible to know whether HCC survives or relapses after TACE therapy. Studies have shown significant decreases in the choline/lipid values and the absolute value of choline complexes after TACE treatment for liver cancer. Kuo et al[88] investigated the use of proton MRS to assess hepatic lesions in vivo and the use of a 3.0-T scanner to measure the changes in metabolites related to HCC after TACE treatment. Their study included forty-three consecutive patients with hepatic tumors. Among the patients with proven HCC, eight lesions were evaluated before TACE and two to five days after TACE. A significant difference was achieved in the mean choline/lipid ratio between the malignant and benign tumors, and the mean choline/lipid ratios were significantly decreased after TACE. Wu et al[89] also reached similar conclusions. Taken together, those studies indicated that MRS has the potential for use in the detection of early metabolite changes in HCC after TACE[90-92].
The shortcomings of MRS mainly include its rather low sensitivity and specificity in differentiating between small nodules in the liver.
MR PWI is an MRI technology that can reflect the microvascular distribution and blood perfusion in tissues. In MR PWI, a contrast agent is intravenously injected to increase the magnetic sensitivity of local capillaries and induce local magnetic field changes, leading to reduced signals derived from shortened transverse relaxation time by proton spin dephasing in tissues. The fast scanning imaging sequence generates a series of dynamic images; based on these images, the changes in signal intensity of the contrast agent when passing the hepatic parenchyma over time are used to generate the time-intensity curve (TIC), and semi-quantitative parameters such as maximal enhancement (MaxEn), initial enhancement rate (ER) and initial area under the curve are calculated to indirectly reflect the vascularity and perfusion in the tumor[93]. Quantitative indicators calculated using the Tofts model include K (trans), k (ep) and v (e)[94,95]. The commonly used PWI sequences include enhanced spin labeling MRI (arterial spin labeling, ASL), T2*-weighted contrast-enhanced dynamic magnetic susceptibility MRI (dynamic susceptibility contrast, DSC) and T1-weighted dynamic contrast-enhanced MRI (dynamic contrast enhancement, DCE). ASL-MRI and DSC-MRI have been mostly used in PWI studies of the brain, whereas the DCE-MRI sequence has been frequently used in PWI studies of the liver[93]. PWI is a new technology that can improve the sensitivity and specificity of liver disease diagnoses. With its high temporal and spatial resolutions, PWI can directly reflect the blood perfusion of the subject tissue and indirectly reflect the tissue’s microvascular distribution. This technique better displays the lesions and tremendously helps facilitate the analysis of the disease, the identification of benign and malignant lesions and the assessment of the response to TACE treatment[96-102]. Xu et al[96] investigated the value of perfusion-weighted MRI in the evaluation of the intranodular hemodynamic characteristics of dysplastic nodules (DNs) and HCCs in an experimental rat model. A total of 40 rats with chemically induced DNs and HCCs were investigated. Time to peak (Tp), maximal relative signal enhancement (REmax) and the initial slope of the signal intensity (SI) vs the time curves of the nodules and cirrhotic liver tissues were evaluated. The nodules that precisely corresponded to the MRI were examined histologically, and the results showed that HCCs had a significantly higher REmax, a shorter Tp and a higher slope than the adjacent cirrhotic liver. The REmax and slope of DNs were significantly lower than the adjacent cirrhotic liver parenchyma. Chen et al[97] performed MR PWI scans in thirty-five cases of HCC 24-48 h before and 48-168 h after TACE treatment, finding that in thirty-four of the HCC patients, the time-signal intensity curve (TSC) before TACE quickly decreased and then slowly increased in the tumor region of interest. After TACE, the fluctuating range of the TSC was significantly reduced in thirty-one patients, slightly reduced in three and not significantly changed in one. These results show that MR PWI is highly useful in the clinical evaluation of the efficacy of TACE in treating HCC.
Compared with CTPI, MR PWI has a higher temporal resolution, requires a smaller dose of contrast agent and poses no risk of radiation injury. However, this spectroscopic imaging technique requires more specialized equipment, has a longer imaging time and is thus more affected by environmental factors (e.g., respiratory motion and the shifts caused by respiratory motion of the target lesions, etc.). Moreover, the heavy load on data processing has limited the clinical application and promotion of PWI.
Ogawa et al[103] believed that paramagnetic deoxyhemoglobin could be used as a natural contrast agent in MRI scans and that deoxyhemoglobin might have contrast effects that could be observed using a gradient echo sequence in high-magnetic field. Based on these effects, these authors investigated whether determining the microvascular blood oxygen content could be used to reflect the dynamics and pathophysiology of blood flow in organs and tissues[103,104]. In vivo, paramagnetic deoxyhemoglobin forms a small magnetic field and a magnetic field gradient in its surroundings, causing heterogeneity in the magnetic field within the local tissue and shortening the T2*-weighted signal. The blood oxyhemoglobin and deoxyhemoglobin have opposite magnetic properties, and when the blood flow in the local tissue and the relative amount of oxygenated hemoglobin increase, the T2*-shortening effect of deoxygenated hemoglobin weakens, causing elongated local T2*, and vice versa. Because the value of the transverse relaxation rate (R2*) and the deoxyhemoglobin concentration in the tissue are correlated, in practice, the R2* value is used as an indicator for the quantitative evaluation of changes in the oxygen content in the local tissue.
The BOLD MRI technique, which has been successfully applied in studies of the central nervous system and urogenital system[105-112], is still in the exploratory stage for the diagnosis and treatment of liver cancer. Choi et al[113] studied the feasibility of using carbogen-challenge BOLD MRI to assess the early response of liver tumors to chemoembolization in a rat hepatoma model. Their results demonstrated that there was a significant difference between the pre-chemoembolization and post-chemoembolization percentages by which the R2* values of the tumors changed. Zhang et al[114] evaluated the feasibility of performing carbogen gas-challenge BOLD MRI measurements in patients with HCC and found that in two cases, the R2* values were significantly decreased one day after TACE. These findings indicated the feasibility of using BOLD MRI to evaluate the response of liver cancer to TACE treatment.
The shortcomings of BOLD MRI are that the technology is susceptible to influences of plasma proteins, molecular diffusion, pH, temperature, pixels, blood flow and vascular course. The iron stored in the liver may also affect the results. Plotting the ROI and analyzing the R2* value are susceptible to the influences of factors such as partial volume effects, blood vessels, necrosis, and bleeding. In future research, BOLD MRI technology will play an important role in evaluating the use of TACE to treat liver cancer.
PET/CT can reveal the metabolic information of tumor tissues at the molecular level and can be used to diagnose malignant cancer with high sensitivity and specificity. Fluoro-deoxy-glucose (18F-FDG) is a glucose analogue that can reflect glucose metabolism in the tissue. Because changes in tissue metabolism always precede changes in tissue structure, PET/CT can be used to assess the early response after TACE treatment and to show residual, recurring and metastasized lesions by quantitatively analyzing the changes in the standardized uptake value (SUV) of the HCC lesions before and after TACE treatment[115-120]. Kim et al[115] performed PET/CT and enhanced CT scans on thirty-eight liver cancer lesions in thirty-six patients after TACE therapy and found that for the viable residual lesions, the diagnostic sensitivities of PET/CT and contrast-enhanced CT in the early postembolic period were 100% and 94%, respectively; in the late postembolic period, these values were 93% and 79%, respectively. When the multiphasic CT was normal, the 18F-FDG PET/CT could clearly reveal intrahepatic tumor recurrence and/or extrahepatic metastases in patients with elevated AFP after TACE treatment for HCC[119,120].
Due to the high cost of PET/CT examination and the high radiation dose, this method is not suitable for use in the routine evaluation of TACE treatment.
PET/MRI combines the advantages of PET and MRI. This method not only provides a better soft tissue contrast than PET/CT, thus providing richer information on molecular function and form, but also overcomes the body damage caused by CT irradiation during a PET/CT examination and the false positives found in PET/CT images. Although PET/MRI is a very recent technology, preliminary studies have already shown that PET/MRI has a great potential for applications in the nervous system, cardiovascular system and neoplastic diseases[121-125]. Yu et al[126] reported that the additional value of functional MRI techniques in combination with PET must be considered; MR DWI, for example, has been demonstrated to significantly improve the detection of sub-centimeter sized intrahepatic HCC metastases compared with conventional liver MRI alone (84% vs 69%). Tsouana et al[127] employed hybrid 18F-Fluroethyl-Choline (FEC) PET)/MRI to evaluate the treatment response of four cases of intracranial non-germinomatous germ cell tumors, and the results showed that in two patients, faint or absent choline avidity correlated with negative histology, whereas in two other patients, persistent choline avidity in the residual mass suggested the presence of a viable tumor, which was subsequently confirmed histologically.
Currently, the use of PET/MRI to evaluate interventional treatment for HCC has been rarely reported. Fowler et al[128] studied the relationship between dose deposition measured by PET/MRI and the response of individual lesions to radioembolization with 90Y microspheres. Twenty-six patients undergoing lobar treatment with 90Y microspheres underwent PET/MRI within 66 h of treatment and had follow-up imaging available. The results showed that the average dose could be used to predict the responses of responders and non-responders for all lesion types. PET/MRI of the 90Y microsphere distribution in patients with colorectal metastases showed significantly higher dose volume histograms (DVHs) values for responders than non-responders. A DVH analysis of the 90Y microsphere distribution following treatment may be an important predictor of response and could be used to guide future adaptive therapy trials. With the development of PET/MRI, this technology will provide more useful information for the evaluation of interventional liver cancer treatments.
In recent years, emerging imaging techniques such as new functional imaging have been effectively used to evaluate the early response of HCC to TACE treatment. Because different imaging techniques have their own advantages and disadvantages, to detect cancer lesions as early as possible and to provide accurate information regarding the diagnosis, staging and treatment evaluation, clinical applications should combine multiple imaging techniques according to the specific circumstances such that the advantages of each technique can compensate for the shortcomings of other techniques, thereby providing a comprehensive evaluation of the lesion[129,130]. With the rapid development of medical imaging, imaging technology will play an increasingly important role in cancer diagnosis and the evaluation of the treatment response.
P- Reviewer: Ooi LLPJ, Ramia JM S- Editor: Ma YJ L- Editor: Wang TQ E- Editor: Wang CH
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