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AJR 2003; 181:708-710
© American Roentgen Ray Society


Technical Innovation

Role of Diffusion-Weighted Imaging in Estimating Tumor Necrosis After Chemoembolization of Hepatocellular Carcinoma

Ihab R. Kamel1, David A. Bluemke1, Douglas Ramsey1, Mohammad Abusedera1, Michael Torbenson2, John Eng1, Gilberto Szarf1 and Jean-Francois Geschwind1

1 Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Rm. 100, Baltimore, MD 21287.
2 Department of Pathology, Johns Hopkins Hospital, Baltimore, MD 21287.

Received February 7, 2003; accepted after revision March 14, 2003.

 
Address correspondence to I. R. Kamel (ikamel{at}jhmi.edu).


Introduction
Top
Introduction
Materials and Methods
Results
Discussion
References
 
Transarterial chemoembolization is frequently used to treat patients with unresectable hepatocellular carcinoma with some survival benefit [1, 2]. Assessing the effectiveness of chemoembolization is critical in determining the success of treatment and helps guide future therapy. However, the best imaging parameter or combination of parameters has not been established. Unenhanced CT confirms successful introduction of the chemoembolization mixture into the targeted lesions. However, hyperattenuating iodized oil impairs assessment of residual tumor enhancement on contrast-enhanced CT. Iodized oil does not cause signal intensity changes on unenhanced MRI [3] and is difficult to detect. On gadolinium-enhanced MRI, enhancing areas in the lesion are presumed to represent viable tumor, but could also result from posttreatment granulation tissue [4]. The purpose of this pilot study was to assess the role of diffusion-weighted MRI in evaluating tumor necrosis after chemoembolization, as determined by histopathologic correlation.


Materials and Methods
Top
Introduction
Materials and Methods
Results
Discussion
References
 
Criteria for inclusion in this study were a confirmed diagnosis of hepatocellular carcinoma; history of one or more treatments with chemoembolization; surgical and pathologic confirmation of the degree of necrosis; and diffusion-weighted MRI within 100 days of pathologic confirmation. A review of our database for patients who underwent chemoembolization between January 2000 and December 2002 identified nine lesions in eight patients with hepatocellular carcinoma who fulfilled our inclusion criteria. According to our institutional guidelines, the study was exempt from our institutional review board approval, and no informed consent was needed.

Chemoembolization Technique
An 18-gauge, single-wall needle was used to access the right common femoral artery using the Seldinger technique. A 5-French vascular sheath was placed into the right common femoral artery over a 0.035-inch Glidewire (Terumo Medical, Somerset, NJ). Under fluoroscopic guidance, a 5-French glide Simmons-1 catheter (Cordis, Miami, FL) was advanced into the aortic arch, formed, and then used to select the celiac axis. Over the guidewire, the catheter was advanced into the desired hepatic artery branch, depending on the tumor location. A 7.5-mL solution containing 100 mg of cisplatin (Platinol, Bristol-Myers Squibb, Princeton, NJ), 50 mg of doxorubicin (Adriamycin, Pharmacia-Upjohn, Kalamazoo, MI), and 10 mg of mitomycin C (Mutamycin C, Bedford Laboratories, Bedford, OH) in a 1:1 mixture with 7.5 mL of ethiodol, followed by infusion of 150-250 µm of polyvinyl alcohol particles (Ivalon, Interventional Therapeutic, Fremont, CA), was administered until stasis was achieved.

MRI Technique
Patients were scanned using a 1.5-T MRI scanner (CV/i, General Electric Medical Systems, Milwaukee, WI), and a phased array torso coil. Imaging protocol consisted of T2-weighted fast spin-echo images (matrix size, 256 x 256; slice thickness, 8 mm; interslice gap, 2 mm; TR/TE, 5000/100; receive bandwidth, 32 kHz), breath-hold diffusion-weighted echoplanar images (matrix, 128 x 128; slice thickness, 8 mm; interslice gap, 2 mm; b value, 500; TR range/TE, 5000-6500/110; receive bandwidth, 64 kHz), and breath-hold unenhanced and contrast-enhanced (0.1 mmol/kg IV gadodiamide [Omniscan, Nycomed Amersham, Princeton, NJ]) T1-weighted three-dimensional fat-suppressed spoiled gradient-echo (matrix, 192 x 160; slice thickness, 4-6 mm; TE, 1.2; receive bandwidth, 64 kHz; flip angle, 15°) images in the arterial (20 sec) and portal venous (60 sec) phases.

Image Analysis
MRI processing and apparent diffusion coefficient maps were generated using a commercially available Advantage Windows workstation (General Electric Medical Systems). Image evaluation was by consensus of two experienced MRI radiologists, who were unaware of the findings at pathology. All target lesions 2 cm or larger were evaluated, because smaller lesions may not be detected on diffusion-weighted imaging. Parameters evaluated included tumor signal intensity on T1-, T2-, and diffusion-weighted sequences. The percentage of estimated tumor necrosis was reported on the basis of the degree of enhancement on portal venous phase images. Apparent diffusion coefficient maps were generated from the diffusion-weighted images, and values were recorded by placing a region of interest over the entire area of the treated mass, as seen on the axial image with the maximum lesion size. Correlation coefficients were calculated to compare the percentage of necrosis at pathology with both the degree of enhancement on gadolinium-enhanced MRI and the apparent diffusion coefficient values.


Results
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Introduction
Materials and Methods
Results
Discussion
References
 
The study subjects were seven men and one woman, with a mean age of 67 years (range, 51-81 years). The mean duration between chemoembolization and MRI was 32 days (range, 27-42 days), and the mean duration between MRI and surgery was 26 days (range, 3-98 days). The indication for surgery was ortho-topic liver transplantation in five patients and partial hepatectomy in three patients. Mean tumor size was 7 cm (range, 2-18 cm), and mean tumor necrosis at pathology was 74% (range, 20-99%). Eight treated lesions had decreased T1-weighted signal intensity compared with the liver, and one had increased signal intensity, most likely due to coagulative necrosis and hemorrhage. All nine treated lesions had increased T2-weighted signal intensity compared with the liver. On diffusion-weighted images, six treated lesions had increased signal intensity compared with the liver, probably due to chemoembolization-induced coagulative necrosis; two had decreased signal intensity; and one had signal intensity similar to the surrounding liver. Apparent diffusion coefficient values were greater in nonenhancing (presumed necrotic) tumors than in enhancing (presumed viable) tumors (Figs. 1A, 1B, and 1C). The mean apparent diffusion coefficient value was 1.95 x 10-3 mm2/sec (range, 1.22-2.53 x 10-3 mm2/sec). These values had a high correlation with the degree of tumor necrosis at pathology, with an r value of 0.95 (95% confidence interval [CI], 0.78-0.99; p < 0.05) (Fig. 2). Mean tumor necrosis on gadolinium-enhanced MRI was 60% (range, 25-95%) and did not achieve a high correlation with tumor necrosis at pathology (r = 0.55; 95% CI, -0.18 to 0.89; p = 0.12).



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Fig. 1A. 68-year-old man with hepatocellular carcinoma who 1 month earlier had transarterial chemoembolization. T2-weighted image (TR/TE, 5000/100) reveals 2-cm treated mass in right lobe of liver (arrow). Note small component of relatively hyperintense signal along left margin.

 


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Fig. 1B. 68-year-old man with hepatocellular carcinoma who 1 month earlier had transarterial chemoembolization. Gadolinium-enhanced T1-weighted image (TE, 1.2; flip angle, 15°) reveals residual enhancement of left portion of mass (arrow), estimated to represent 30% tumor viability.

 


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Fig. 1C. 68-year-old man with hepatocellular carcinoma who 1 month earlier had transarterial chemoembolization. Diffusion-weighted image (6500/110; b value, 500) shows mass (arrow), with apparent diffusion coefficient value of 1.51 x 10-3 mm2/sec, indicating 50% necrosis, which was confirmed at pathology (not shown).

 


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Fig. 2. Graph shows correlation between apparent diffusion coefficient and percentage of necrosis as detected at pathology in nine lesions (r = 0.95; 95% Confidence interval = 0.78-0.99; p < 0.05). Note linear increase in apparent diffusion coefficient values with increase in tumor necrosis.

 


Discussion
Top
Introduction
Materials and Methods
Results
Discussion
References
 
In this pilot study, with pathologic confirmation of the degree of tumor necrosis of all lesions evaluated, we have found that diffusion-weighted imaging can quantify tumor necrosis after chemoembolization to a greater degree than can gadolinium-enhanced MRI.

A change in tumor size on cross-sectional imaging has been widely accepted as a guide to clinical decision-making. However, tumor size does not substantially decrease 1-2 months after chemoembolization, when the decision to evaluate for possible repeated treatment is made. Therefore, the traditional assessment of tumor dimension is not useful in assessing response to therapy. In addition, conventional CT and MRI are limited in their ability to provide data to quantify tumor necrosis, which is essential in determining prognosis.

Diffusion-weighted imaging can provide an insight about water composition within a tumor and the degree of tumor viability. Viable tumor cells have intact membranes that restrict water diffusion, whereas necrotic tumors have increased water diffusion due to cell membrane disruption. Namimoto et al. [5] reported that the apparent diffusion coefficients of malignant masses were significantly lower than those of benign masses. Chan et al. [6] used apparent diffusion coefficients to differentiate hepatic abscesses from cystic or necrotic tumors. More recently, Taouli et al. [7] reported that diffusion-weighted imaging could be useful in differentiating benign from malignant hepatic masses. In another study of an animal model of hepatocellular carcinoma, diffusion-weighted imaging clearly distinguished the regions of tumor necrosis from viable tumor [8]. However, the use of apparent diffusion coefficients to distinguish necrotic from viable regions in patients with hepatocellular carcinoma has not been described to our knowledge.

The use of diffusion-weighted sequences in the abdomen is challenging. To reduce motion artifacts, we obtained breath-hold images with a matrix size of 128 x 128. This parameter results in a significantly lower resolution than regular breath-hold T1-weighted images with a matrix size of 512 x 160. Therefore, a region of interest may be defined with reasonable accuracy on apparent diffusion coefficient maps of only large (> 2 cm) lesions that can be readily detected. Diffusion-weighted images may not be suitable for evaluating lesions near the dome of the liver because of magnetic susceptibility effects related to air in the lungs. This is true for all echoplanar sequences and can potentially be reduced if a nonechoplanar sequence is implemented.

Limitations of this study include the small sample size, long duration between MRI and surgery (<= 98 days), and selection bias because we included only patients who had pathologic confirmation of the degree of tumor necrosis. However, it is difficult to obtain pathologic confirmation in patients who undergo chemoembolization because most of these patients do not undergo surgery. In addition, biopsy is rarely performed and may result in sampling error. The role of diffusion-weighted imaging has been documented in animal model and our study shows its potential in humans. However, it is unlikely that diffusion-weighted images will be the sole predictor of tumor viability after chemoembolization. More likely, a model that also includes other variables such as T2 signal intensity changes, the degree and pattern of gadolinium enhancement, and iodized oil distribution on CT will produce a more powerful predictor of tumor necrosis than individual imaging variables. MRI is typically performed 4 weeks after therapy, the usual follow-up period, to decide if an additional cycle is necessary. However, the optimum timing of imaging to detect tumor necrosis has not been identified.

In conclusion, diffusion-weighted imaging can be used to predict the degree of tumor necrosis of large hepatocellular carcinoma after transarterial chemoembolization and to guide patient management. However, further refinement of the sequence could help in its usefulness for small lesions, particularly near the diaphragm, or in patients who are unable to breath-hold.


References
Top
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Colombo M. Nonpercutaneous therapies of hepatocellular carcinoma. Hepatogastroenterology2001; 48:25 -28[Medline]
  2. Ramsey DE, Kernagis LY, Soulen MC, Geschwind JF. Chemoembolization of hepatocellular carcinoma. J Vasc Interv Radiol2002; 13:S211 -S221
  3. De Santis M, Alborino S, Tartoni PL, Torricelli P, Casolo A, Romagnoli R. Effects of lipiodol retention on MRI signal intensity from hepatocellular carcinoma and surrounding liver treated by chemoembolization. Eur Radiol 1997;7:10 -16[Medline]
  4. Kuszyk BS, Boitnott JK, Choti MA, et al. Local tumor recurrence following hepatic cryoablation: radiologic-histopathologic correlation in a rabbit model. Radiology2000; 217:477 -486[Abstract/Free Full Text]
  5. Namimoto T, Yamashita Y, Sumi S, Tang Y, Takahashi M. Focal liver masses: characterization with diffusion-weighted echo-planar MR imaging. Radiology1997; 204:739 -744[Abstract/Free Full Text]
  6. Chan JH, Tsui EY, Luk SH, et al. Diffusion-weighted MR imaging of the liver: distinguishing hepatic abscess from cystic or necrotic tumor. Abdom Imaging2001; 26:161 -165[Medline]
  7. Taouli B, Vilgrain V, Dumont E, Daire JL, Fan B, Menu Y. Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patients. Radiology2003; 226:71 -78[Abstract/Free Full Text]
  8. Geschwind JF, Artemov D, Abraham S, et al. Chemoembolization of liver tumor in a rabbit model: assessment of tumor cell death with diffusion-weighted MR imaging and histologic analysis. J Vasc Interv Radiol 2000;11:1245 -1255[Medline]

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