Abstract
Objective:
Diffusion-weighted imaging (DWI) with reduced field-of-view (FOV) has been shown to provide high spatial resolution with reduced distorsion in the spinal cord, breast, pancreas, and prostate gland. Therefore, we performed this study to evaluate the qualitative image quality and quantitative ADC value of reduced FOV DWI in patients with cervical cancer in comparison with conventional DWI.
Methods:
This study retrospectively included 22 patients (mean age, 53.9 years) with biopsy-proven cervical cancer who underwent pelvic MR imaging including conventional DWI and reduced FOV DWI before therapy. Two observers independently rated image quality for reduced FOV DWI and conventional DWI regarding anatomic detail, lesion conspicuity, presence of artifacts, and overall image quality using the following 4-point scale. Quantitative analysis was performed by measuring the ADC value of the tumor. The Wilcoxon signed-rank test was used to compare qualitative scores and mean ADC value between two DWI sequences.
Results:
Reduced FOV DWI achieved significantly better anatomic detail, lesion conspicuity, presence of artifacts, and overall image quality compared to conventional DWI (p < 0.05). There was no significant difference in mean tumor ADC value between the two DWI sequences (0.990 × 10−3 mm2 s−1 ± 0.364 at reduced FOV DWI vs 1.253 × 10−3 mm2 s−1 ± 0.387 at conventional DWI) (p = 0.067).
Conclusion:
Reduced FOV DWI shows better image quality in terms of anatomic detail and lesion conspicuity with fewer artifacts compared to conventional DWI.
Advance in knowledge:
Reduced FOV DWI may enhance diagnostic performance for evaluation of cervical cancer.
Introduction
Diffusion-weighted imaging (DWI) shows tissues characteristics based on water diffusion properties, which is related to tissue microenvironment, including tissue cellularity and the integrity of cell membranes.1–3 It is well known that tissue apparent diffusion coefficient (ADC) value, which is calculated from DWI, allows quantitative evaluation of tissue diffusivity.4 With advances in MR techniques, DWI is widely included as a routine imaging protocol in many organs, including the female pelvis. The clinical application of DWI to cervical cancer has been investigated in many studies. Previous studies demonstrated that ADC value could be useful for differentiating cervical cancer from normal cervix as well as for prediction of the degree and histological type of cervical cancer.5–9 Marc et al showed that using DWI resulted in higher reader confidence, sensitivity of tissue infiltration, and tumor-grading for cervical cancer, especially for less experienced reader.10 Park et al also reported that tumor ADC and parametrial invasion on MRI seemed to be independent predictors of pathologic parametrial invasion. Thus, adding DWI to MR imaging would improve accuracy for identifying low-risk patients for parametrial invasion, which is critical for appropriate treatment planning and improvement of patient outcomes.11 In addition, DWI might have potential for assessing the therapeutic response to concurrent chemo-radiotherapy (CCRT) in advanced cervical cancer by measuring tumor ADCs or changes in tumor ADCs.12–15 These studies were typically performed using single-shot echo-planar imaging (EPI) DWI. Despite these promising results, single-shot EPI has significant limitations; it is prone to susceptibility at air-tissue interfaces and has low spatial resolution.16–19 As is well documented in prostate MR imaging in males, susceptibility artifacts at the interface of tissue with air in the rectum is also particularly problematic on DWI of the female uterine cervix.18
Recently, DWI sequences with reduced field-of-view (FOV) in the phase-encoding direction have been shown to improve image distortion with high spatial resolution in the spinal cord, breast, pancreas, and prostate gland.20–27 To the best of our knowledge, application of reduced FOV DWI in the uterine cervix has not been reported. Therefore, we conducted this study to evaluate the qualitative image quality and quantitative ADC values of reduced FOV DWI in patients with cervical cancer in comparison to conventional DWI with 3 T MRI.
methods and Materials
Patients
This retrospective study had institutional review board approval, and informed consent was waived. We retrospectively searched the institutional pathologic database to find patients with biopsy-proven cervical cancer between April 2016 and February 2017. The search identified 44 patients with cervical cancer. The inclusion criteria for the patient group were: (1) biopsy-proven cervical cancer; (2) no history of conization or loop electrosurgical excision procedure before MRI, which could influence MRI interpretation; and (3) pelvic MR imaging including conventional DWI and reduced FOV DWI prior to initial treatment. Thus, a total of 22 patients (mean age, 53.9 years; range, 34–73 years) were included in our study (Figure 1). The clinical stage of cervical cancer was determined by obstetricians who used clinical examination, cystoscopy, and sigmoidoscopy according to the International Federation of Gynecology and Obstetrics classification.28 Patients and tumor characteristics are shown in Table 1.
Table 1.
No. of patients | 22 |
Agea (range) | 53.9 ± 9.1 years (34–73) |
Tumor sizea (range)b | 4.2 ± 3.2 cm (1.5–12.5) |
FIGO stage (no. of patients) | |
IA1 | 7 |
IBI | 9 |
IB2 | 1 |
IIB | 4 |
IVB | 1 |
Histologic type | |
No. of squamous cell carcinoma | 20 |
No. of adenocarcinoma | 2 |
FIGO, International Federation of Gynecology and Obstetrics.
Mean ± standard deviation.
Tumors that are visible on MRI (n = 15).
MR examination
All MR images were acquired using a 3.0 T MR system (DISCOVERY MR750w; GE Healthcare, Waukesha, WI) with a 32-channel phased-array receiver coil. To reduce bowel peristalsis, 5 mg of cimetropium bromide (Algiron, Boehringer Ingelheim Korea, Cheongju, Korea) was administered intramuscularly before MR examination. There is no consensus in the literature regarding the preparation before MRI including the bowel preparation and use of vaginal/rectal filling with sterile gel, and remains optional.29, 30 Therefore, bowel preparation or use of vaginal/rectal filling with sterile gel was not performed in our study. Baseline MRI sequences included T1 weighted imaging, T2 weighted imaging, dynamic contrast-enhanced T1 weighted imaging, and DWI. T2 weighted fast relaxation fast spin-echo images were obtained in three orthogonal planes (axial, sagittal, and coronal). The imaging parameters of T2WI were as follows: repetition time (TR) ms/echo time (TE) ms, 3201–5715/80; section thickness, 4 mm; intersection gap, 0.4 mm; matrix, 416 × 320; field of view, 28 cm; number of signals acquired, two; reduction factor, two; and acquisition time of each plane, 196 s. Axial T1 weighted spin-echo images were obtained to evaluate the lymph nodes and pelvic bone with the following parameters: TR/TE, 643/15.0 ms; section thickness, 4 mm; intersection gap, 0.4 mm; field of view, 28 cm; and acquisition time, 188 s. Dynamic contrast-enhanced T1 weighted images was obtained using fat-suppressed a three-dimensional (3D) gradient echo sequence in the axial plane (TR/TE, 7.0/3.6 ms; flip angle, 12_; matrix, 256 × 224; slice thickness, 4 mm; interslice gap, 2 mm; FOV, 32 cm; reduction factor, 1.5; NSA, 1; and acquisition time, 5 min and 2 s). A post-contrast series was performed immediately after a bolus injection of Gadoteric acid (Uniray, Dongkook, Korea) at a rate of 1.5 ml sec−1 with a dose of 0.1 mmol, followed by a flush of 20 ml of normal saline. DWI was obtained using fat-suppressed, respiratory-triggered echo planar imaging in the axial plane with conventional and reduced FOV. Reduced FOV DWI was performed using a sequence (FOV optimized and constrained undistorted single shot; GE Healthcare, WI) that uses a 2D spatially selective echo-planar radiofrequency excitation pulse and a 180° refocusing pulse to reduce the FOV in the phase-encode direction. The selection of b values (0 and 800 or 1000 sec mm−2) was made in reference to previous studies.30, 31 ADC maps were automatically generated with the manufacturer’s software. Detailed imaging parameters were listed in Table 2.
Table 2.
Sequence parameter | Reduced FOV DWI | Conventional DWI |
Diffusion directions | Three-direction trace | Three-direction trace |
b-value (s mm–2) | 0, 800 | 0, 1000 |
Repetition time (ms) | 4000 | 5000 |
Echo time (ms) | 65 | 69 |
FOV (cm) | 22 × 11 | 30 × 30 |
Matrix | 160 × 80 | 140 × 140 |
Section thickness (mm) | 4 | 4 |
Intersection gap (%) | 10 | 10 |
Pixel resolution (mm) | 1.375 × 1.375 | 2.143 × 2.143 |
NEX | 16 | 6 |
Acquisition time (min:s) | 4 min 33 sec | 3 min 43 sec |
DWI, diffusion weighted imaging; FOV, field of view; NEX, number of excitations.
Image analysis
Qualitative analysis
All images were analyzed independently by two radiologists (with 15 and 7 years of experience in interpreting MR images, respectively) using a picture archiving and communication system. The observers were aware that the patients had biopsy-proven cervical cancer, but were blinded to clinical findings and detailed pathologic results. Two observers subjectively rated image quality for both DWI sequences regarding anatomic detail, lesion conspicuity, artifacts, and overall image quality using the following 4-point scale: (a) anatomic detail, (1) poorly visualized anatomy; (2) fairly delineated anatomic structure with blurred margin; (3) good delineation of anatomic structure with a sharp margin; (4) excellent delineation of anatomic structure; (b) lesion conspicuity, (1) lesion not recognizable; (2) lesion recognizable as slight signal difference; (3) lesion recognizable as distinct signal difference; (4) lesion recognizable as distinct signal difference with a clear lesion margin; (c) presence of artifacts, (1) severe; (2) moderate; (3) mild; (4) absent; (d) overall image quality, (1) poor image quality, considered non-diagnostic; (2) fair image quality, somewhat impairing diagnostic quality; (3) good image quality, not impairing diagnostic quality; (4) excellent image quality. Cases of invisible tumors on MRI were excluded from assignment of lesion conspicuity. The reviewers analyzed all MR images in an anonymized and randomized manner to minimize bias, in two separate sessions with at least 1-month interval. First, the observers reviewed only conventional DW images. Subsequently, they reviewed reduced FOV DW images using the same criteria. For each DWI sequence, b = 0 s mm−2 images were reviewed first, followed by b = 800 s mm−2 for reduced FOV and b = 1000 s mm−2 for conventional DW images.
Quantitative analysis
Quantitative analysis was performed by measuring ADC value of the tumor. To obtain the ADC value of the tumor, a circular or elliptical region of interest (ROI) was manually placed on the ADC map to include as much of the tumor as possible in a single image that showed the maximum dimension of visible tumor. T2 weighted images were available for recognition of the anatomical details. Care was taken to avoid cystic or necrotic changes within the tumors and to place the ROI in the same position on both sequences. In cases of invisible tumors on MRI, ROIs were placed as large as possible on a central axial plane to include the anterior and posterior epithelial linings of the uterine cervix, according to a previous report.7 Tumor ADCs were obtained twice at the same site, and an average was recorded. The mean size of the ROIs was 181 ± 366 mm2 (range, 80–1846 mm2) for conventional images and 178 ± 429 mm2 (range, 50–2130 mm2) for reduced FOV images.
Statistical analysis
The Wilcoxon signed-rank test was used to compare the qualitative image analysis scores between reduced FOV and conventional DWI sequences. Interobserver agreement for qualitative evaluation was assessed using weighted κ statistics. A kappa value less than 0.20 indicates poor agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate agreement; 0.61–0.80, good agreement; and greater than 0.81, excellent agreement.32 ADC values of cervical cancer were also compared between the two DWI sequences using the Wilcoxon signed-rank test. Statistical analyses were performed using 2 commercial software programs (MedCalc v. 12.3.0, MedCalc Software, Mariakerke, Belgium; and SPSS 19.0, IBM SPSS Statistics, Armonk, NY). A p value less than .05 was considered significant.
Results
Qualitative analysis
Table 3 shows qualitative analysis scores between two DWI. For both observers, reduced FOV DWI achieved significantly better scores in anatomic detail, lesion conspicuity, presence of artifact, and overall image quality at both b = 0 s mm−2 and b = 800 or 1000 s mm−2 compared to conventional DWI (p < 0.05) (Figures 2 and 3), except for presence of artifact at b = 0 s mm−2 with observer 2 (p = 0.083). The mean scores of both observers were also significantly higher on reduced FOV DWI than those on conventional DWI at both b values (p < 0.05). Interobserver agreement was fair to excellent on conventional DWI for anatomic detail, lesion conspicuity, presence of artifact, and overall image quality (κ = 0.450–0.815 at b = 0 s mm−2 and κ = 0.388–0.712 at b = 1000 s mm−2). There was moderate to excellent agreement between the two observers on reduced FOV DWI for anatomic detail, lesion conspicuity, presence of artifact, and overall image quality (κ = 0.480–0.762 at b = 0 s mm−2 and κ = 0.457–0.831 at b = 800 s mm−2) (Table 4).
Table 3.
Anatomic detail | Lesion conspicuity | Presence of artifact | Overall image quality | |
Observer 1 | ||||
Reduced FOV DWI (b = 0 s mm−2) | 3.82 ± 0.39 | 3.60 ± 0.51 | 3.23 ± 0.53 | 3.36 ± 0.58 |
Conventional DWI (b = 0 s mm−2) | 3.00 ± 0.31 | 2.80 ± 0.41 | 3.00 ± 0.62 | 3.00 ± 0.44 |
P value | <0.001 | 0.001 | 0.025 | 0.011 |
Reduced FOV DWI (b = 800 s mm−2) | 3.41 ± 0.50 | 3.60 ± 0.51 | 3.05 ± 0.58 | 3.36 ± 0.49 |
Conventional DWI (b = 1000 s mm−2) | 3.05 ± 0.38 | 3.13 ± 0.52 | 2.82 ± 0.59 | 2.95 ± 0.38 |
P value | 0.005 | 0.008 | 0.025 | 0.003 |
Observer 2 | ||||
Reduced FOV DWI (b = 0 s mm−2) | 3.68 ± 0.48 | 3.47 ± 0.64 | 3.00 ± 0.62 | 3.32 ± 0.65 |
Conventional DWI (b = 0 s mm−2) | 3.00 ± 0.44 | 2.73 ± 0.46 | 2.86 ± 0.56 | 2.91 ± 0.43 |
Pp value | <0.001 | 0.001 | 0.083 | 0.003 |
Reduced FOV DWI (b = 800 s mm−2) | 3.41 ± 0.59 | 3.60 ± 0.51 | 2.77 ± 0.69 | 3.23 ± 0.61 |
Conventional DWI (b = 1000 s mm−2) | 2.82 ± 0.59 | 3.00 ± 0.53 | 2.59 ± 0.59 | 2.68 ± 0.57 |
P value | 0.001 | 0.007 | 0.046 | 0.001 |
Mean | ||||
Reduced FOV DWI (b = 0 s mm−2) | 3.75 ± 0.44 | 3.53 ± 0.57 | 3.11 ± 0.58 | 3.34 ± 0.61 |
Conventional DWI (b = 0 s mm−2) | 3.0 ±0.37 | 2.77 ± 0.43 | 2.93 ± 0.50 | 2.95 ±0.43 |
P value | <0.001 | <0.001 | 0.005 | <0.001 |
Reduced FOV DWI (b = 800 s mm−2) | 3.41 ± 0.54 | 3.60 ± 0.50 | 2.91 ± 0.64 | 3.29 ± 0.55 |
Conventional DWI (b = 1000 s mm−2) | 2.93 ± 0.50 | 3.07 ±0.52 | 2.70 ±0.59 | 2.82 ±0.49 |
P value | <0.001 | <0.001 | 0.003 | <0.001 |
DWI, diffusion weighted imaging; FOV, field of view.
Data are mean ± standard deviation.
Table 4.
Anatomic detail | Lesion conspicuity | Presence of artifact | Overall image quality | |
Reduced FOV (b = 0 s mm−2) | 0.645 (0.296, 0.994) | 0.762 (0.496, 1.000) | 0.599 (0.307, 0.890) | 0.480 (0.199, 0.760) |
Reduced FOV (b = 800 s mm−2) | 0.831 (0.624, 1.000) | 0.722 (0.364, 1.000) | 0.457 (0.148, 0.765) | 0.748 (0.512, 0.984) |
Conventional DWI (b = 0 s mm−2) | 0.645 (0.196, 1.000) | 0.815 (0.470, 1.000) | 0.759 (0.507, 1.000) | 0.450 (0.020, 0.880) |
Conventional DWI (b = 1000 s mm−2) | 0.505 (0.153, 0.856) | 0.712 (0.344, 1.000) | 0.626 (0.345, 0.906) | 0.388 (0.058, 0.700) |
DWI, diffusion weighted imaging; FOV, field of view.
Data are κ values.
Data in parentheses are 95% confidence intervals.
Quantitative analysis
There was no significant difference in the mean tumor ADC values between the two DWI sequences (0.990 × 10−3 mm2 s−1 ± 0.364 on reduced FOV DWI vs 1.253 × 10−3 mm2 s−1 ± 0.387 on conventional DWI) (p = 0.067).
Discussion
Our results demonstrated that reduced FOV DWI achieved better image quality in terms of anatomic detail and lesion conspicuity compared to conventional DWI. Moreover, image artifacts were decreased on reduced FOV DWI. The reduced FOV DWI has previously been applied to other organs including the pancreas, breast, spinal cord, and prostate gland and has shown improvement of image quality with fewer artifacts.20–27 Thus, our study was consistent with the results of previous reports and confirmed that the reduced FOV DWI sequence would have clinical value for cervical cancer. Obtaining DWI of the uterine cervix is particularly challenging due to the anatomical location between the air-containing rectum and urinary bladder, which are prone to susceptibility artifacts and distortion, which can subsequently affect the diagnostic performance, as with DWI of the prostate in males. In this respect, application of reduced FOV DWI on cervical imaging has potential advantages over conventional DWI using single-shot EPI.
Reduced FOV DWI sequence employs a 2-dimensional spatially selective echo-planar radiofrequency pulse and an 180° refocusing pulse reducing the FOV in the phase-encoding direction instead of conventional excitation in the single-shot EPI sequence. Consequently, this sequence facilitates high spatial resolution imaging with less susceptibility to distortion.24, 27 Implementation of this sequence also allows decreased partial volume averaging between tumor and normal tissue.22, 23 The better anatomic detail and lesion conspicuity observed in our study can be explained by high image resolution with decreased partial volume averaging of this technique. We believe this could lead to increased diagnostic performance in identifying small cervical cancer at an early stage, earlier detection of tumor recurrence, more accurate evaluation of tumor extent such as parametrial invasion, and improved assessment of treatment response. Further studies with small cervical cancer at early stage or post-treated tumor are needed in the future.
DWI with large FOV could help to detect pelvic lymph nodes. From this perspective, reduced FOV DWI could be less useful, although not covered in this study. However, according to the European Society of Urogenital Radiology guideline, T1 weighted images without fat suppression are useful to evaluate for presence of lymphadenopathy.29 Nevertheless, assessment of nodal involvement with cross sectional images that are largely dependent on the size of lymph nodes has significant limitations with low accuracy. Incorporating morphologic features such as margin irregularity, heterogeneity of nodal texture, and shape to the size, which are best seen at high-resolution T2 weighted MR imaging have shown to be beneficial for differentiating benign and malignant nodes in patients with rectal cancer and may be applicable to those with cervical cancer.30, 33 Therefore, we think that it is best to use T1 weighted images without fat suppression and high-resolution T2 weighted imaging for assessing pelvic lymph nodes. Further research on the effect of FOV reduction, particularly regarding assessment of pelvic lymph nodes is needed.
In our study, we found no significant difference in the mean tumor ADC values between two DWI sequences, although reduced FOV sequence had a trend toward lower tumor ADC values. Our results were similar to those of previous reports.20–22,34 On the contrary to our results, some studies showed a trend toward lower tumor ADC values for reduced FOV DWI compared to conventional DWI.23, 27 This difference is believed to be due to reduced partial volume averaging between tumor and normal tissue with the reduced FOV sequence and, consequently, more accurate ADC values.22, 23,27 In our study, mean tumor ADC values of conventional DWI sequences showed a trend toward higher values than those from the literature, which ranged from 0.757 to 1.11 × 10−3 mm2 s−1.5, 12,35 One possible explanation is that some of our study population had early stage cervical cancer with an invisible tumor compared with those of previous studies. Further, this could be partly explained by the complexity of ADC values that can be affected by multiple factors including T2, b values, signal-to-noise ratio, and partial volume averaging.22, 26,36 Indeed, mean tumor ADC values of reduced FOV sequence were within the range of values from other studies.5, 12,35
This study had several limitations. First, our study included only a small number of patients. Future studies are required with a larger population. Second, the parameters for reduced FOV and conventional DWI sequences were not exactly matched; in particular, the b-values of reduced FOV b = 0 and 800 s mm−2 and those of conventional DWI were b = 0 and 1000 s mm−2, which might have affected qualitative and quantitative image analyses. At higher b-values, the reduced FOV DWI acquisition would require increased averaging to boost the signal to noise (SNR), subsequently increasing scan time. In fact, it took more time to obtain reduced FOV DWI by increasing averaging to enhance the SNR in our study, which would affect the clinical use in practice. Further effort is needed to reduce scan time at higher b-values while maintaining SNR in the future. Third, interobserver variances in qualitative analysis have been reported21, 27 and also might have affected our results.
In conclusion, reduced FOV DWI showed better image quality in terms of anatomic detail and lesion conspicuity with fewer artifacts compared with conventional DWI in patients with cervical cancer. This could help radiologists to better assess cervical cancer in detail.
Contributor Information
Jiyoung Hwang, Email: jy0707hwang@schmc.ac.kr.
Seong Sook Hong, Email: hongses@schmc.ac.kr.
Hyun-joo Kim, Email: reonora@schmc.ac.kr.
Yun-Woo Chang, Email: ywchang@schmc.ac.kr.
Bo Da Nam, Email: namboda@schmc.ac.kr.
Eunsun Oh, Email: sophiaoes@schmc.ac.kr.
EunJi Lee, Email: demain3923@schmc.ac.kr.
Hwajin Cha, Email: 112762@schmc.ac.kr.
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