Yubo Liu1, Ximing Wang1, Xianshun Yuan1, Haiyan Jing2, Xiankui Cheng2, Liang Shang3, Jinglei Liu3, Mengxiao Liu4, and Xiang Feng5
1Department of Radiology, Shandong Provincial Hospital, Jinan, China, 2Department of Pathology, Shandong Provincial Hospital, Jinan, China, 3Department of gastrointestinal surgery, Shandong Provincial Hospital, Jinan, China, 4MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, shanghai, China, 5MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China
Synopsis
For
gastric antrum cancer with obstructive symptoms, CT has been a common method
for preoperative diagnosis. But because it shows poor tumor boundaries, it does
not give clear guidance on treatment options. ZOOMit DWI has higher image quality
and smaller deformations make tumor boundaries better, so it can provide better
preoperative guidance.
Background
Gastric sinus cancer is prone to
cause gastric sinus obstruction. If the head of pancreas is invaded by cancer,
the success rate of radical resection is low. Computer Tomography(CT) is most commonly method to evaluate gastric cancer
invasion to the pancreas and resectability of primary lesions. The
criterion of CT is the fat
gap disappears between lesion and pancreas, but the rate of false positive is
high. ZOOMit not only shows a clear image of the tumor, but also improve the
image quality in pancreatic. So the technology of ZOOMit will further improve
the accuracy of the judgment of gastric antrum cancer invasion to the pancreas and
resectability of primary lesions.
Purpose
To assess the application value of ZOOMit DWI in
judging the pancreas invasion and resectability of primary lesions of gastric
sinus cancer in the patients with gastric obstruction.Method
According to the CT criteria of gastric sinus cancer invading the
pancreas, 12
patients(5 Female, age range:28-65) with
gastric sinus cancer who had no obstructive lymph node metastasis and organ
metastasis were
randomly selected. All patients underwent MR ZOOMit sequence either on the day of the CT scan or the day
after on a 3T scanner(MAGNETOM Prisma, Siemens Healthcare, Erlangen, Germany)
with a 18-channel body coil. The ZOOMit DWI sequence protocol were given as
follow: TR/TE=2100/61ms, FOV=260*119mm, slice thickness=5mm, voxel size=0.8*0.8mm
2,
number of slices=20, b value=50,800s/mm
2, TA:1:35min. And then they
would undergo surgery within a week. The images were analyzed by two abdominal radiologists.
The Surgical data and pathological results were separately arranged by two surgeons
and two pathologists. The radiologists and the surgeons did not provide
information to each other involving ZOOMit image analysis and surgical approach
before all the data was summarized.
Result
CT images can clearly show the disappearance of the fat gap between the lesion and the
pancreas, but the contact boundary between the two shows poor, and the
different contact surface morphology determines the treatment plan. In our
study, according to the ZOOMit image, 7 patients(7/12) were determined pancreas
invasion because the contact surface between the pancreas and the tumor is
irregular. Meanwhile, head of pancreas invasion nonresected was confirmed by
surgical exploration and the surgical method was changed to gastrojejunostomy .In
5 patients(5/12), the pancreatic contact surface was smooth depression, and the
pancreatic parenchyma was compressed. No substantial invasion was found in pancreas
during the operation. Radical resection was achieved by stripping off the
pancreatic capsule(5/12). A total of 5 patients were eligible for radical
resection. Postoperative pathology showed that tumors invaded in to the
subserosal layer of stomach wall in 2 cases (2/5), and perforated the serosa in
3 cases (3/5).All diagnostric results are consistent with ZOOMit
results(Fig.1-2)Conclusion
Compared to traditional CT
imaging technology, ZOOMit DWI leads
to substantial image quality improvements of pancreatic parenchyma and gastric sinus
tumor, which improve the accuracy of judgment of pancreas invasion . It is
expected that the confidence of surgeon will be further enhanced by the
preoperative judgment of ZOOMit.Acknowledgements
No acknowledgement found.References
No reference found.