Preoperative virtual simulation of adrenal tumors
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Retroperitoneal endoscopic adrenalectomy (EA) is recognized as a principal procedure for benign adrenal tumors. However, a limited visual field and a narrow working space make this approach difficult, particularly in cases of obese patients or small tumors. Using multidetector row CT (MD-CT), this study investigated the use of preoperative virtual simulation (PVS) to identify tumor and central vein locations for EA, and verified these findings during EA surgery.
Patients and methods
The study enrolled 11 cases comprising 10 adrenal adenomas and one ACTH-independent macronodular adrenal hyperplasia admitted to Jichi Medical University Hospital, Tochigi, Japan, between November 2003 and October 2006. Patients were evaluated in a lateral bending position using MD-CT. 3D PVS images of ribs, vertebrae, kidneys, and adrenal tumors were generated and compared with real images obtained during EA.
The PVS images clearly showed the relative locations of the adrenal tumor, kidney, and adjacent anatomical structures. These locations were verified during EA. The central vein was identified in the PVS images in all cases. Information derived from the PVS images assisted in the performance of EA surgery.
Preoperative 3D-simulation images using MD-CT contributed to the safety and efficiency of performing EAs.
KeywordsVirtual simulation Adrenal tumor Endoscopic adrenalectomy Retroperitoneal approach Three dimension
Endoscopic adrenalectomy (EA) has become the standard treatment for benign adrenal tumors following the first report of endoscopic transperitoneal adrenalectomy for benign adrenal disease by Gagner et al. . Transperitoneal and retroperitoneal approaches are the two principal surgical routes to the adrenal gland. While the transperitoneal approach is used more widely, the retroperitoneal approach offers particular advantages, although the narrower working space and fewer landmark organs make this latter technique more complicated [2, 3, 4]. Multidetector row CT (MD-CT) is a new type of CT that uses multiple detector rows, and provides finer image resolution and faster examinations than previous CT methodologies. MD-CT has provided new aspects for preoperative examinations in various fields [5, 6, 7, 8], including adrenal tumor treatment [3, 9]. Precise orientation in retroperitoneal EA is essential and reduces mortality and morbidity. The present study evaluated using MD-CT for preoperative virtual simulation (PVS) in the treatment of adrenal tumors. This technology was used to visually determine the relationship between the adrenal glands and adjacent organs, and the location of the central vein.
Patients and methods
From 1998 to 2006, 64 patients (31 males, 33 females; mean age: 50.1 years, ranging 18–77 years) underwent EA in the Department of Surgery, Jichi Medical University Hospital, Tochigi, Japan. Over this period, the methodology applied to reach the adrenal gland gradually changed from a gasless transperitoneal route to a pneumoretroperitoneal method. From 2003, a retroperitoneal lateral approach became our standard method, and we introduced preoperative virtual simulation (PVS) using MD-CT. Recently, 11 cases (4 males, 7 females, mean age: 52.3 years, 5 with Cushing syndrome, 4 with primary aldosteronism, 1 with pheochromocytoma, and 1 with hyperplasia) were evaluated using MD-CT and PVS. An MD-CT upper abdominal scan was performed with the patient in a lateral bending position, which was the same position as for the EA. All underwent scanning at 120 kV independent of body mass index; 250–350 mAs was selected in relation with the body mass index. First scanning was performed without contrast medium, followed by administration of an intravenous bolus infusion of 100 mL (300–350 mgI/mL depending on the body weight) iodine contrast medium (Omnipaque; Daiichi Sankyo, Tokyo, Japan) at a rate of 3 mL/sec using double-power injector. Second and third scanning was started at 30 s and 90 s after the beginning of the administration of the iodine contrast medium. The following parameters were used: detector setup, 0.75 × 16 mm; and helical pitch, 10.5/16 rows. Acquired 1.0-mm slices were reformed by 1.0-mm DICOM datasets. DICOM datasets were transferred to a workstation (M900 Quadra, Ziosoft) and PVS images generated. Adrenal tumors were first marked manually before postprocessing using the computer window levels. 3D-images of ribs, vertebrae, kidney, and marked tumors were volume rendered. We also sought to mark the line of the central vein. The PVS images were evaluated in comparison to real images from the EA.
The transperitoneal approach for adrenalectomies is common because it offers easy orientation, dissection, and mobilization in the abdominal cavity. However, this procedure has potential disadvantages including adhesion formation, postoperative bowel obstruction, and intraoperative injury to adjacent organs. The most practical advantage of the retroperitoneal approach is avoiding possible injury to abdominal organs . The procedure is more complicated than the transperitoneal approach because of fewer anatomic landmarks, abundant retroperitoneal adipose tissue, and a smaller surgical working space [2, 3, 4].
Recently, CT and MRI have been used for surgical planning of procedures such as laparoscopic donor nephrectomy , laparoscopic resection of gastric cancer , and living related liver donor resection . Using cut-plane imaging without three-dimensional (3D) reconstruction, Hurley et al. were the first to simulate the relationship between adrenal masses and adjacent organs using 3D volume-rendered helical CT , and evaluate the interaction of adrenal masses with the diaphragm, liver, spleen, and kidneys. In the present study, we introduced a new 3D-image reconstruction technique, PVS, as a simulating tool for EAs which is more precise than previous methods. We found that PVS images provided realistic virtual views and precise tumor locations. PVS highlighted that the adrenal gland position differed according to the patient position. This finding is particularly pertinent given most patients are assessed by CT in a supine position, yet undergo the EA in a lateral bending position.
A retroperitoneal EA approach is especially challenging in obese patients. Cushing syndrome patients are candidates for EA, and are frequently obese and have fragile connective tissue. It is important to know the relationship between the adrenal gland and the kidney as landmark organ. We found that PVS images created from MD-CT in the lateral bending position provided “real” virtual images even in Cushing syndrome cases. In the present study, we classified adrenal tumors as either covered or uncovered depending on the relative locations of the kidney and the adrenal gland. In all cases these classifications were verified during EAs, and PVS was found to provide rapid and useful information for EAs. The present study found that all right-sided tumors were of the covered type and were found after adequately mobilizing the right kidney, while left tumors were generally found more easily.
The final step in EA is identification and dissection of the central vein. This step is especially crucial in pheochromocytoma to avoid excessive release of catecholamines [2, 12, 13]. Hurley et al. identified the central vein using volume-rendered CT scan images in 63% of cases (77% of left-sided cases and 38% of right-sided cases). Scatarige et al. investigated the left adrenal vein in a group of living renal donors before laparoscopic nephrectomy and were able to identify the left central vein in 92.5% of cases . In the present study, visualization of the arterial and venous anatomy and the location of central vein was achieved using PVS in all 6 attempted cases.
Adrenal-preserving adrenalectomy has been reported in the resection of adrenal adenomas [4, 15, 16, 17]. We found that PVS images provided useful information for this procedure, such as the relative location of the tumor and central vein, and the location of arteries. We were able to make a precise plan of the surgical margin and the amount of residual adrenal gland using PVS images.
We conclude that PVS images can be easily and quickly generated using MD-CT. These images provide sufficient information to perform EAs.
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