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DOI:10.2214/AJR.05.1918
AJR 2007; 188:409-414
© American Roentgen Ray Society


Original Research

High-b Value Diffusion-Weighted MRI for Detecting Pancreatic Adenocarcinoma: Preliminary Results

Tomoaki Ichikawa1, Sukru Mehmet Erturk2, Utarou Motosugi1, Hironobu Sou1, Hiroshi Iino3, Tsutomu Araki1 and Hideki Fujii3

1 Department of Radiology, University of Yamanashi, Shimokato, Japan.
2 Department of Radiology, Sisli Etfal Hospital, No. 10/1 Dogancilar, Uskudar Istanbul 81160, Turkey.
3 Department of First Surgery, University of Yamanashi. Shimokato, Japan.

Received October 29, 2005; accepted after revision February 28, 2006.

 
Address correspondence to S. M. Erturk (mehmeterturk{at}superonline.com).


Abstract
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
OBJECTIVE. The objective of our study was to evaluate the usefulness of high-b value diffusion-weighted MRI (DWI) in the detection of pancreatic adenocarcinoma.

SUBJECTS AND METHODS. Twenty-six patients with pancreatic adenocarcinoma were included in the study. Twenty-three other patients who were being followed up due to pancreatic diseases other than adenocarcinoma were included as control subjects. All patients and subjects underwent DWI, and the images were evaluated by three blinded radiologists.

RESULTS. Receiver operating characteristic (ROC) curve analysis yielded Az values (i.e., area under the ROC curve) of 0.998, 0.998, and 0.995 for the three radiologists. The mean sensitivity and specificity for the detection of pancreatic adenocarcinoma were 96.2% and 98.6%, respectively. The kappa values indicating interobserver agreement between different pairs of radiologists were in the category of excellent.

CONCLUSION. High-b value DWI allows the detection of pancreatic adenocarcinoma with a high sensitivity and specificity.

Keywords: diffusion-weighted MRI • intraductal papillary mucinous tumor • MRI • oncologic imaging • pancreas • pancreatic adenocarcinoma


Introduction
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Pancreatic cancer is one of the most lethal human cancers and continues to be a major unsolved health problem at the start of the 21st century [1]. It is well known that the 5-year survival rate of patients with pancreatic adenocarcinoma is dismal, being less than 10%; at the initial diagnosis, fewer than 10-15% of patients can undergo surgical resection, which is the only potential curative treatment [2]. Although much effort has been devoted to increase the sensitivity for detecting earlystage pancreatic adenocarcinomas with conventional imaging techniques, such as sonography, CT, or MRI, the sensitivity to detect pancreatic cancer is still insufficient [1].

High-b value diffusion-weighted MRI (DWI) is different from morphologically oriented imaging techniques in that it can sensitively depict disease-associated changes of random translational molecular motion, known as diffusion or brownian water motion [3]. The authors of several studies have reported that quantification of diffusion as apparent diffusion coefficient (ADC) values is useful in tissue characterization [4, 5]. However, mainly because of the insufficient signal-to-noise ratio (SNR) of the images, the standard DWI applications are not qualitative but are quantitative, being based on complex ADC calculations. Therefore, this technique is still not available for use as a detection tool for abdominal malignancies. However, recently, it became possible to obtain high-b value DW images with an improved SNR [6]. More recently, Ichikawa et al. [7] reported that direct visual assessment of high-b value DW images has a high sensitivity and specificity in the detection of colorectal cancer.

The purpose of this study was to evaluate DWI as a diagnostic tool for depicting pancreatic adenocarcinomas using direct visual assessment of the obtained images.


Subjects and Methods
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Patients
During a 12-month period between June 2003 and May 2004, 26 patients (12 women, 14 men; mean age, 62 ± 7.8 years) who had a diagnosis of pancreatic adenocarcinoma based on various diagnostic techniques, such as ERCP, CT, MRI, and imaging-guided fine-needle aspiration biopsy, were included in the study. The lesions ranged from 16 to 49 mm in size (mean, 28 mm) and were located in the head (n = 17), body (n = 6), or tail (n =3) of the pancreas. Twenty-three other patients (13 women, 10 men; mean age, 69 ± 9.2 years) who were being followed up at our institution because of pancreatic diseases other than pancreatic adenocarcinoma were included in the study as control subjects. Twenty of the control subjects had chronic pancreatitis, and three had intraductal papillary mucinous tumors. All patients with pancreatic adenocarcinoma underwent surgery, and the diagnoses were confirmed at pathologic evaluation. The control subjects had clinical and CT follow-up examinations for at least 12 months after completion of the study; no evidence of pancreatic adenocarcinoma was detected in any of the control subjects during the follow-up period. Our institutional review board approved this study, and informed consent was obtained from all study participants.


Figure 1
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Fig. 1A —63-year-old man with pancreatic adenocarcinoma. Axial high-b value diffusion-weighted image shows adenocarcinoma in body of pancreas (arrow).

 


Figure 2
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Fig. 1B —63-year-old man with pancreatic adenocarcinoma. Corresponding respiratory-triggered T2-weighted MR image (B) and fusion image (C) show adenocarcinoma (arrow) seen in A.

 


Figure 3
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Fig. 1C —63-year-old man with pancreatic adenocarcinoma. Corresponding respiratory-triggered T2-weighted MR image (B) and fusion image (C) show adenocarcinoma (arrow) seen in A.

 
MR Protocol and Parameters
All MRI examinations were performed using a commercially available 1.5-T superconducting MR unit (Signa LX, GE Healthcare). First, breath-hold fat-saturated T1-weighted MR images were obtained with a combination of gradient-echo sequences and chemical shift selective fat-suppression techniques (TR range/TE range, 160-227/1.4-5.3; matrix, 256 x 256). Second, respiratory-triggered fat-saturated T2-weighted fast spin-echo images were acquired (TR range/TE, 2,500-6,432/80; echo-train length, 8-12; matrix, 192-256 x 256). Third, each patient underwent MR cholangiopancreatography using a single-shot fast spin-echo sequence (TR/firstecho TE, second-echo TE, infinite/80, 700; matrix size, 256 x 256) and a true-fast imaging with steadystate free precession (FISP) sequence (TR/TE, 4.6/2.3; matrix size, 256 x 256). Fourth, breath-hold, multiphasic contrast-enhanced MRI with fast gradient-echo sequences was performed (170/2.3-4.2; flip angle, 90°; matrix, 256-512 x 512).

MR images were obtained after bolus injection of 20 mL of gadopentetate dimeglumine (Magnevist, Schering). The patients underwent a multiphasic contrast-enhanced MRI protocol including arterial phase, pancreatic parenchymal phase, and portal venous phase imaging. The arterial phase images were initiated 25 seconds after the beginning of the injection of contrast material; pancreatic parenchymal phase images, 45-55 seconds after contrast injection; and portal venous phase images, 70-90 seconds after contrast injection.

Finally, all patients underwent DWI using the body coil of the MR unit. The DWI technique was a modified version of the original DWI protocol [6, 7]. The detailed parameters of DWI were as follows: sequence, single-shot spin-echo echo-planar with chemical-shift selective fat-suppression technique; scan direction, axial; respiration, non-breath-hold method; b value, 1,000 s/mm2 (with diffusion-weighted gradients applied in three orthogonal directions); TR range/TE range, 8,000-10,000/73.2-73.4; inversion time, 70 milliseconds; matrix, 128 x 64; slice thickness/gap, 4 mm/0 mm; field of view, 40 cm; number of excitations, 6; and acquisition time, approximately 5 minutes. All axial source images were provided with black-and-white reversal display to facilitate lesion detection. Coronal maximum-intensity-projection (MIP) images were also reconstructed from the axial source images and were evaluated using the 3D rotational cine mode.


Figure 4
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Fig. 2A —Adenocarcinoma in head of pancreas with extensive necrosis in 58-year-old woman. Respiratory-triggered transverse T2-weighted fast spin-echo MR image shows heterogeneously hyperintense mass (arrow) at head of pancreas. Signal intensity of mass is high, similar to that of kidneys, which might suggest cystic nature of mass.

 


Figure 5
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Fig. 2B —Adenocarcinoma in head of pancreas with extensive necrosis in 58-year-old woman. Breath-hold contrast-enhanced transverse T1-weighted gradient-echo MR image obtained during pancreatic parenchymal phase clearly shows extensive cystic area in mass (arrow).

 


Figure 6
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Fig. 2C —Adenocarcinoma in head of pancreas with extensive necrosis in 58-year-old woman. Non-breath-hold transverse diffusion-weighted MR image with inverted black-and-white image contrast clearly depicts mass (arrow) showing strong signal intensity despite its cystic nature.

 


Figure 7
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Fig. 2D —Adenocarcinoma in head of pancreas with extensive necrosis in 58-year-old woman. Fusion image—combination of T1- and diffusion-weighted MR images—can facilitate identification of mass (arrow) presenting at head of pancreas.

 
Image Analysis
On the basis of surgical-pathologic results, two radiologists serving as study coordinators attempted to determine the location of the lesions and to anatomically correlate the pathologically confirmed lesions with the imaging findings as accurately as possible to allow detection of false-positive interpretations. The study coordinators had access to all imaging, clinical, and surgical data for the patients and control subjects; they also used fusion images created from conventional MR images and DW images.

All high-b value DW images were then independently interpreted in random order and blinded fashion by three abdominal radiologists (reviewers) other than the study coordinators. The reviewers were aware that the study was being performed to detect pancreatic adenocarcinoma. However, they were blinded to all other information, such as patient identity, clinical history, the findings of other imaging examinations, and results of histopathologic evaluations. The reviewers interpreted only high-b value DW image series, including axial source and MIP images alone without referring to any other MR images. MIP images were evaluated with the rotational cine mode together with the axial source images in different windows on diagnostic monitors. Each reviewer graded the presence (or absence) of lesions on a 5-grade confidence scale on the basis of the strength and appearance of dark signals on the high-b value DW images as follows: 1, definitely absent (no signal); 2, probably absent (nonlocalized, mild to moderate signal); 3, undetermined (localized, mild to moderate signal); 4, probably present (localized, strong signal with no definite margins); and 5, definitely present (localized, strong signal with definite margins). If a lesion was considered to be present on a high-b value DW image, the location of the lesion was recorded. Only lesions recorded at the correct location determined by the study coordinators were accepted as true-positive findings.


Figure 8
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Fig. 3A —Pseudocyst related to chronic pancreatitis in 60-year-old man. Respiratory-triggered transverse T2-weighted fast spin-echo MR image reveals well-defined mass (arrow) in tail of pancreas is showing extremely high signal intensity, which may indicate cystic nature of mass.

 


Figure 9
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Fig. 3B —Pseudocyst related to chronic pancreatitis in 60-year-old man. Respiratory-triggered transverse diffusion-weighted MR image with inverted black-and-white image contrast shows no significant signals in area corresponding to area where mass is shown in A.

 
Statistical Analysis
Receiver operating characteristic (ROC) curves were used to represent the performance of individual radiologists for tumor detection. The diagnostic accuracy for each radiologist was determined by calculating the area under the ROC curve (Az). Grade 4 and grade 5 were accepted as positive for the presence of pancreatic adenocarcinoma, and sensitivity and specificity were calculated with 95% CIs.

The interobserver agreement among reviewers for tumor detection was calculated with linearweighted kappa statistics. A kappa statistic greater than 0.75 was considered to indicate excellent agreement beyond chance; 0.4-0.75, fair to good agreement; and less than 0.4, poor agreement.


Results
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
ROC analysis yielded Az values of 0.998 (95% CI, 0.993-1), 0.998 (95% CI, 0.993-1), and 0.995 (95% CI, 0.984-1) for the three reviewer radiologists (Figs. 1A, 1B, 1C, 2A, 2B, 2C, 2D, 3A, 3B, 4A, 4B, 4C). For each reviewer, the sensitivity was 96.2% (25/26; 95% CI, 81.1-99.3%). All reviewers missed the same pancreatic adenocarcinoma by grading it as "3" (Fig. 5A, 5B). The specificity was 100% (23/23; 95% CI, 88.7-100%) for two radiologists and 98.6% (22/23; 95% CI, 79-99.2%) for the third one. The mean sensitivity and specificity of high-b value DWI for the detection of pancreatic adenocarcinoma were 96.2% (75/78) and 98.6% (68/69), respectively


Figure 10
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Fig. 4A —Intraductal papillary mucinous tumor, side branch type, in 71-year-old woman. Coronal MR cholangiopancreatography image shows dilated main pancreatic duct (asterisks) and cystic mass (arrows) in head of pancreas.

 

Figure 11
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Fig. 4B —Intraductal papillary mucinous tumor, side branch type, in 71-year-old woman. Axial T2-weighted MR image depicts same cystic mass (arrowhead) as that shown in A. Spleen is marked with arrow to serve as landmark for correlation with diffusion-weighted MR image.

 

Figure 12
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Fig. 4C —Intraductal papillary mucinous tumor, side branch type, in 71-year-old woman. Respiratory-triggered transverse diffusion-weighted MR image with inverted black-and-white image contrast shows no significant signals at area corresponding to area where mass is shown in A and B. Spleen is marked with arrow.

 

Figure 13
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Fig. 5A —Pancreatic adenocarcinoma in body of pancreas in 56-year-old man. T2-weighted MR image shows suspicious hypo- and isointense area (arrows) in body of pancreas.

 

Figure 14
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Fig. 5B —Pancreatic adenocarcinoma in body of pancreas in 56-year-old man. Using diffusion-weighted MR image corresponding to A, all three reviewers missed lesion (arrows) by grading it as "3" (undetermined; localized, mild to moderate signal).

 
All values indicating interobserver agreement were in the category of excellent ({kappa} = 0.81-0.87).


Discussion
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
It is well known that diffusion is caused by random translational molecular motion, also known as brownian water motion [7]. DWI is the only imaging method that can be used to evaluate the diffusion process in vivo. The speed with which water molecules diffuse differs in extracellular and intracellular components of tissues [8]. In the intracellular component, diffusion is relatively slow because of the presence of cellular membranes. Thus, ADCs, which are quantitative expressions of the diffusion characteristics of tissues, are related to the proportion of extracellular and intracellular components. ADC values tend to decrease with increased tissue cellularity or cell density [3]. On the other hand, the cell density may be indicative of tumor aggressiveness; the results of several clinical studies suggest an increased metastatic capacity of tumors with high cellularity [9]. Moreover, in addition to the cellular membranes, the intracellular cytoskeleton, organelles, matrix fibers, and soluble macromolecules contribute to diffusion restrictions in tumors [3]; therefore, DWI should be sensitive for the differentiation of histopathologic tissue characteristics. In fact, several authors have already reported decreased ADC values in various malignant lesions [4, 5, 8]. However, no previous studies, to our knowledge, have used direct visual assessment of DW images to report the diagnostic performance of this technique for the detection of pancreatic adenocarcinoma.

Although the technique used in the present study is principally based on DWI, our concept was different from the standard use of this technique for the detection of abdominal disease. The standard application of DWI is not qualitative but quantitative and is based on ADC measurements [4, 8]. The high-b value DWI technique for this study uses an acquisition method with multiple excitations and without breath-holding to improve SNR. The limitation in scanning time imposed by breath-holding does not permit thin-slice DW images to be obtained with adequate SNR and with multiple excitations that can be used as source images for multiplanar reconstructions [6, 7]. On the other hand, an increase in motion artifacts might be assumed as a theoretic shortcoming [4]; however, in practice, motion artifacts are averaged during multiexcitations by the motion-probing gradients applied for DWI and become inconspicuous on the reconstructed images. Thus, images with a good SNR are achieved in exchange for absolute ADC values that become impossible to calculate because of signal averaging. Most recently, using the same technique, Ichikawa et al. [7] reported a sensitivity of 91% and a specificity of 100% for the detection of colorectal cancer using DWI. We obtained a similar high sensitivity (96.2%) and specificity (98.6%) for the detection of pancreatic adenocarcinoma in the present study.

DWI can be easily performed as an adjunct to a conventional MRI study. Furthermore, DW images can be fused with conventional MR images, like the fusion images obtained with PET/CT scanners, to achieve better anatomic resolution [10]. Although the reviewers in our study did not have access to this kind of fusion images, the study coordinators noted their usefulness (Figs. 1C and 2D). Regarding its high sensitivity and specificity, DWI might have potential to become the imaging method of choice for screening patients with symptoms suggesting pancreatic adenocarcinoma. Moreover, this technique can also be used for screening people who have a hereditary predisposition for pancreatic cancers, such as patients with hereditary pancreatitis; multiple endocrine adenomatosis, type 1; and Gardner's syndrome [11].

There are some limitations to our study. First, the study population was relatively small, so our results need to be confirmed in larger clinical studies. Second, the study included only cases of chronic pancreatitis and intraductal papillary mucinous tumor as the negative cases and did not include other benign conditions. Thus, the specificity reported in the present study needs to be considered relative rather than absolute.

In conclusion, according to the results of our preliminary study, high-b value DWI might be a useful tool for detecting pancreatic adenocarcinoma; it shows a high sensitivity and specificity. Nevertheless, further studies in larger clinical settings are needed to support our findings because of the limitations mentioned.


References
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 

  1. Li D, Xie K, Wolff R, Abbruzzese JL. Pancreatic cancer. Lancet 2004 27;363: 1049-1057[CrossRef][Medline]
  2. American Cancer Society. Cancer facts & figures 2002. Atlanta, GA: American Cancer Society,2002
  3. Lyng H, Haraldseth O, Rofstad EK. Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion-weighted magnetic resonance imaging. Magn Reson Med 2000;43 : 828-836[CrossRef][Medline]
  4. Dzik-Jurasz A, Domenig C, George M, et al. Diffusion MRI for prediction of response of rectal cancer to chemoradiation. Lancet 2002; 360:307 -308[CrossRef][Medline]
  5. Thoeny HC, De Keyzer F, Chen F, et al. Diffusion-weighted MR imaging in monitoring the effect of a vascular targeting agent on rhabdomyosarcoma in rats. Radiology 2005;234 : 756-764[Abstract/Free Full Text]
  6. Takahara T, Imai Y, Yamashita T, Yasuda S, Nasu S, Van Cauteren M. Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med 2004;22 : 275-282[Medline]
  7. Ichikawa T, Erturk SM, Motosugi U, et al. High-b-value diffusion-weighted MRI in colorectal cancer. AJR2006; 187:181 -184[Abstract/Free Full Text]
  8. Roth Y, Tichler T, Kostenich G, et al. High-b-value diffusion-weighted MR imaging for pretreatment prediction and early monitoring of tumor response to therapy in mice. Radiology2004; 232:685 -692[Abstract/Free Full Text]
  9. Sugahara T, Korogi Y, Kochi M, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging1999; 9:53 -60[CrossRef][Medline]
  10. Hosten N, Lemke AJ, Wiedenmann B, Bohmig M, Rosewicz S. Combined imaging techniques for pancreatic cancer. Lancet2000; 356:909 -910[CrossRef][Medline]
  11. Bae S, Kurtz RC. Strategy after diagnosis of pancreatic dysplasia. Lancet 2000; 355:85 -86[CrossRef][Medline]

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