Methods: Seventy-eight patients (53 males, 25 females; mean age 60.8±14.9 years; range 18 to 86 years) who suffered from hypertension and were found to have RAS on MDCTA or who were found suitable for endovascular treatment of an abdominal aortic aneurysm during the evaluation with MDCTA underwent digital subtraction angiographic (DSA) examinations. The MDCTA findings were compared with the DSA findings. Statistical analysis of data was performed to detect renal arterial stenosis and the degree of stenosis based on diameter measurement. The study was carried out prospectively and approved by the hospital institutional review board. Informed consent was obtained from all patients.
Results: Seventy-nine of 156 renal arteries were found to have stenosis and six were found to have occlusion while 71 were normal on MDCTA. Seventy of 156 renal arteries were found to have stenosis and six to have occlusion while 80 were normal on DSA. Overall sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy rate were found to be 97.4%, 86.3%, 87.1%, 97.2% and 91.7%, respectively. For determination of the degree of stenosis, the sensitivity was in the range of 74.1-100%, the specificity was in the range of 93.7-100%, the PPV was in the range of 55-100%, the NPV was in the range of 94.5-100%, and the accuracy rate was in the range of 90.4-100%.
Conclusion: Multidetector computed tomography angiography can be accepted as a noninvasive and reliable modality for the evaluation of RAS with high sensitivity, specificity, and diagnostic accuracy rates.
The purpose of this study was to determine the accuracy of MDCTA as a non-invasive modality for detection and graduation of RAS by comparing it with DSA as a gold standard modality.
Patient selection
Seventy-eight patients (53 males, 25 females; mean
age 60.8±14.9 years; range 18 to 86 years) who were either referred for renal artery MDCTA for evaluation
of RVH or for abdominal aorta MDCTA for evaluation
of endovascular treatment suitability for an abdominal
aortic aneurysm were included in the study. Exclusion
criteria for participation in the study were a history of
renal insufficiency and adverse reactions to iodinated
contrast agents. During the study period, no patient was
excluded from the study.
All patients first underwent a MDCTA examination followed by a DSA examination. The time interval between the two examination was at least one week but not more than 25 days. Multidetector computed tomography angiography and DSA findings were independently evaluated for main renal artery stenosis by two different radiologists, each with more than four years of experience. The results were compared and a statistical analysis of data was performed to detect the main renal arterial lesions and the degree of stenosis separately. Accessory renal arteries were excluded.
Multidetector computed tomography angiography
procedure
Multidetector computed tomography angiography
evaluation was carried out with a 16-detector CT
system (Somatom Sensation 16, Siemens, Germany).
After obtaining an initial scout image (120 kV, 50 mAs),
the scanning range was planned to cover the aortoiliac
vascular system from the proximal abdominal aorta
to the level of the inguinal ligaments. For optimal
intraluminal contrast enhancement, the delay time
between the start of contrast material administration
and the start of scanning was obtained for each patient
individually by using a bolus tracking technique
(CARE-Bolus, Siemens). For this purpose, a single
non-enhanced low-dose scan at the level of the
proximal abdominal aorta was obtained first. Based
on this axial image, a region of interest with an area
of 5-15 mm2 was set in the lumen of the proximal
abdominal aorta. This region of interest served as a
reference for the dynamic measurements of contrast
enhancement. Subsequently, a nonionic iodinated
contrast medium (370 mgI/100 ml iopromidum or 350-
370 mgI/100 ml iohexol) was administered with an
injection rate of 4-5 ml/sec via a 18-20 gauge needle
that was placed into a superficial vein located in the
antecubital fossa. The volume of contrast medium
(mean, 95 ml; range, 70-120 ml) was adjusted to 1.5-2
mgI/kg. The contrast medium was administered with
an automated injector (Ulrich 200, Ulrich Medical,
Germany). The contrast material bolus was followed
by 25 ml of saline administered at the same flow
rate. At 10 seconds after the start of contrast material administration, repetitive low-dose monitoring scans
(120 kV, 20 mAs, 0.5-second scanning time, onesecond
interscan delay) were obtained. After reaching
the preset contrast enhancement level of 100 HU, the
scan initiated automatically four seconds later. During
these four seconds, a signal was given for the patient
to hold their breath. Data acquisition was performed
craniocaudally with a protocol 16x0.75 mm detector
line configuration, 3 cm section thickness, 13.5 mm/s
feed rotation, 420 msec rotation time. The X-ray tube
voltage setting was 120 kV, and the current varied
between 140 mAs and 200 mAs, depending on the
size of the patient and the heat limitations of the tube.
All scanning was performed with the patients holding
their breath. (mean, 13 seconds; range, 10-17 seconds).
Multidetector computed tomography angiography was
performed on all patients without any complications,
and none of the studies were repeated because of
technical problems. The intravenous catheter was
inserted while the patient was in the CT suite. The
examination time, defined as the time from patient
entry into the CT suite until the source data was
available for three-dimensional reconstruction, was
recorded for each patient.
Image post-processing
The axial source images were reconstructed
retrospectively with a 1 mm slice thickness and a 0.7 mm
interval. This was then post-processed on a workstation
(Navigator, Siemens Medical Systems, Germany) to
obtain multiplanar reformation (MPR) images and
maximum intensity projection (MIP) images. Curved
planar reformat (CPR) images were generated in axial
and coronal planes. Curved planar reformat images were
obtained by manually paralleling the center of the renal
artery.
The degree of stenosis was determined by a combined evaluation of axial images with coronal MIP along with axial and coronal CPR images. Image post-processing was performed by a technician with three years of experience in angiographic image post-processing in MDCTA. If there was any hesitation, the post-processing was repeated and re-evaluated by one of the radiologists. The degree of stenosis was determined by the ratio of the diameter of the most stenotic segment of the renal artery in compared to the diameter of the normal part of the renal artery just distal part of the stenotic segment. If post-stenotic dilatation was present, the normal part was accepted after that segment.
Digital subtraction angiography procedure
Angiographic examination were performed with a
DSA equipped system (Axiom Artis FC, Siemens, Germany) with either a femoral or high brachial
(axillary) approach. Renal arteries were evaluated
by an abdominal aortogram followed by selective
catheterization in patients referred for evaluation of
renal artery stenosis. They were then evaluated with
abdominal aortograms with a 14 cm or 20 cm field of view
at various projections in patients referred for evaluation
of abdominal aortic aneurysm for endovascular therapy.
In the first group, a non-calibrated pigtail catheter
(Boston Scientific, USA) was used while a calibrated
pigtail catheter (Pbn, Netherlands) was used in the
second group. The pigtail catheter tip was positioned
between the 12th thoracic and first lumbar vertebrae,
and 18-25 ml of a nonionic iodinated contrast material
(370 mgI/100 ml of iopromidum) was injected. Then
each renal artery was catheterized selectively with
either a cobra catheter (Boston Scientific, USA) or a
Simmons 1 catheter (Boston Scientific, USA), and 8-15
ml of nonionic contrast material was administered in
each run for the first group. In the second group, the
catheter tip was subsequently positioned above the
aortic bifurcation for DSA of the pelvic arteries, and
20 ml of contrast material was injected in each run.
In all patients, additional oblique projections were
obtained for evaluation of the aortoiliac arteries. In
particular, the arterial segments of both renal arteries
were examined by using additional 15°-25° left and
right anterior oblique projections. Lateral projections
were performed in the second group of patients and
performed only if necessary in the first group of
patients. No prior conscious sedation was performed
in any patient. Digital subtraction angiography was
performed in all patients without any complications. All
patients who had more than 70% stenosis on MDCTA
images were premedicated (starting four days before
the procedure with clopidogrel 75 mg/day, aspirin 100
mg/day) before the DSA examination. If renal arterial
stenosis was confirmed at DSA, stent implantation or
percutaneous transluminal angioplasty was performed
during the same session. The calculation of the degree
of stenosis was performed on the projection where the
renal arterial stenosis and pre-stenotic and post- stenotic
renal arterial segments were best visualized full of
contrast. The degree of stenosis was determined via
an automated calculation program on the angiographic
equipment or manually calculated by dividing the
diameter of the most stenotic segment by the diameter
of the normal part of the renal artery just distal part
of the stenotic segment. If post-stenotic dilatation
was present, the normal part was accepted after that
segment. Manual calculation was performed if renal
arterial tracing was not optimal in the automated
calculation.
Statistical analysis
Renal artery lesions were grouped as normal (<10%),
mild (11-49%), moderate (50-70%), severe (70%<),
and occluded. Both MDCTA and DSA findings
were compared for detection of renal arterial lesions
(stenosis and occlusion) and for determining the
degree of stenosis. Digital subtraction angiography was
accepted as the gold standard modality and sensitivity,
specificity, positive predictive value (PPV), negative
predictive value (NPV), and accuracy rate (AR) were
calculated.
Table 1: Demographic data of the patients for MDCTA angiography and DSA
In 78 patients a total of 156 renal arteries (78 left, 78 right) were evaluated with both MDCTA and DSA. Multidetector computed tomography angiography showed 85 renal arterial lesions, and DSA showed 76 (Table 2). Multidetector computed tomography angiography revealed 71 (45.5%) normal, 79 (50.7%) stenotic, and six (3.8%) occluded arteries. Digital subtraction angiography revealed 80 (51.3%) normal, 70 (44.9%) stenotic, and six (3.8%) occluded arteries. Sixtynine arteries were normal; 20 were mildly stenotic, 11 were moderately stenotic, 29 were severely stenotic, and six were occluded on both modalities (Figure 1-3). Eleven arteries that had mild (n=8), moderate (n=2), and severe (n=1) stenosis on MDCTA were found to be normal in DSA (Figure 1, 4). Two arteries were normal in MDCTA while one was mildly stenotic, and one was moderately stenotic in DSA. Six arteries were moderately stenotic at MDCTA while all were mildly stenotic in DSA. One artery was severely stenotic in MDCTA while it was moderately stenotic in DSA (Table 3).
Table 2: Comparison of the MDCTA findings with DSA findings
These findings revealed 97.4% sensitivity, 86.3% specificity, 87.1% PPV, 97.2% NPV, and 91.7% AR for the MDCTA in detecting renal arterial lesions, including stenosis and occlusions. For determining the degree of stenosis, the sensitivity, specificity, PPV, NPV, and AR values were found to be in the range of 74.1-100%, 93.7- 100%, 55-100%, 94.5-100%, 90.4-100%, respectively (Table 4).
The MDCTA has become one of the most preferred, non-invasive methods for evaluating many arterial systems in the body. Rapid developments in CT technology, like MDCT usage, is eliminating the need for the conventional spiral CT to evaluate arterial systems. With MDCT, a larger volume can be scanned in less time with higher spatial resolution using less contrast agents. This may facilitate multiplanar reconstructed and reformatted images.[14,17]
Evaluation of axial images with reformatted images, such as MIP, volume rendering technique (VRT) and CRP, facilitates clearer evaluation and helps to determine details not previously seen.[14,18] However, arteries evaluated with only VRT or MIP images can lead to exaggerated results with inner lumen stenosis and calcifications.[18] Only using the axial images to evaluate tortuous vessels may lead to false positive results.[19] Johnson et al.[20] compared the MIP and VRT protocols with DSA for renal arterial stenosis of over 50% in 25 patients and reported the sensitivity and specificity as 94% and 87% versus 89% and 99%, respectively. They also reported that combining both protocols increases the sensitivity and specificity. Rubin et al.[21] also reported the sensitivity and specificity for MIP protocol in determining the renal arterial stenosis of over 70% in 31 patients as 92% and 83%, respectively. Although Saba et al.[22] suggested that the best performance for the study of the renal arteries was given by MIP and VRT, they did not correlate the results with DSA.
Prokop[23] suggested a bolus triggering technique for optimal imaging of the renal arteries and for the evaluation of axial images with MIP and VRT reformatted images. He reported sensitivity, specificity, and NPV as 90%, 98% and 95%, respectively. Hahn et al.[24] e valuated 63 renal arteries with MDCTA and DSA, and they reported sensitivity, specificity, PPV, and NPV as 90%, 98%, 90% and 98%, respectively. Fraioli et al.[25] compared the diagnostic value of MDCT with DSA for the detection and quantification of both main and accessory renal artery stenosis in patients with secondary hypertension, and they reported 100% sensitivity, 97.3% specificity, 97.8% AR, 98.2% PPV, and 97.8% NPV for 50%-100% luminal narrowing. They concluded that MDCTA is very accurate and robust, even for the assessment of renal artery stenosis and that it has the potential to become a viable substitute, in most cases, for diagnostic, catheter-based DSA.
There are many reports in the literature that confirm the sensitivity and specificity of the MDCTA / CTA being as high as 97-100% compared to DSA.[9,20,26-31] Vasbinder et al.[26] in one of the largest reported series, studied the accuracy of the MDCTA and MRA by comparing the findings with DSA for the diagnosis of renal artery stenosis in 356 patients. They reported 20% of the patients had 50% or more stenotic segments in all three methods and reported the sensitivity and specificity for MDCTA is 64% and 92% while for MRA it is 62% and 84% respectively. They pointed out that technical insufficiencies, lack of experience in grading the stenosis, and poor patient selection might be reasons for the low sensitivity results.
In our study, we used a bolus triggering technique, and all renal arterial branches were clearly visualized and evaluated. We compared MDCTA findings with DSA findings in the evaluation of RAS and the determination the degree of stenosis. For detection of renal arterial lesions, the overall sensitivity was 97.4%, specificity was 86.3%, PPV was 87.1%, NPV was 97.2%, and AR was 91.7%. In three patients, renal arteries were moderately and severely stenotic in MDCTA while normal in DSA (Figure 3). In two patients, false positive results were attributed to obesity in one patient and tortuosity of the vessel in the other. We believe that in the case of obesity, modifying the examination parameters (kV and mA) may prevent such false positive results. In the latter case, the reason may be a lack of experience. We established that CPR images are more helpful than VRT images in determining stenosis, especially in tortuous anatomy, if processed both in axial and in coronal planes. Also, evaluating axial images with CPR and MIP images facilitates the diagnosis of stenosis and determines the degree of stenosis more accurately than evaluation with axial images or MIP images alone. Nevertheless, it should be kept in mind that experience in image post-processing is very important, especially in CPR images; the degree of stenosis may be upgraded or downgraded if image post-processing is done only in one plane.
There were also differences between MDCTA and DSA modalities in determining the degree of stenosis in the renal arteries (Table 3). For grading the stenosis with MDCTA, sensitivity was found to be in the range of 74.1-100%, specificity in the range of 93.7-100%, PPV in the range of 55-100%, NPV in the range of 94.5-100%, and AR values in the range of 90.4-100% (Table 4).
If the stenosis classification is rearranged according to the therapeutic approach criteria (medical therapy for ≤70% stenosis and surgical or interventional therapy for >70% stenosis), normal, mild, and moderate groups would be considered as one group (Table 5). After reclassification of the groups, sensitivity, specificity, PPV, NPV, and AR were found to be 98.3%, 97.2%, 99.2%, 94.5%, and 98.1%, respectively. These results show that sensitivity, specificity, PPV, NPV, and AR increased as the degree of stenosis increased. Reevaluation of the groups following reclassification according to the therapeutic approach criteria showed that the degree of stenosis was upgraded in three renal arteries and downgraded in one renal artery in MDCTA. Patients with upgraded results may undergo an angiographic procedure that will clearly delineate the degree of stenosis and may lead to a reliance on medical therapy instead of interventional therapy. The downgraded result may lead to a preference for medical therapy instead of interventional or surgical therapy which may increase the degree of ischemic nephropathy. It is obvious that misgraded results will cause a delay in the appropriate therapy to be scheduled, and we believe it may not only be related to technical reasons, but also to the experience of the reporters.
As a result, we think MDCTA may be preferred as a noninvasive modality during the investigation or evaluation of RVH, RAS and also for the therapeutic planning of RAS. In addition, it will become an alternative to the DSA with high sensitivity, specificity, and accuracy as MDCT technology and image postprocessing software continue to develop.
Declaration of conflicting interests
The authors declared no conflicts of interest with respect
to the authorship and/or publication of this article.
Funding
The authors received no financial support for the
research and/or authorship of this article.
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