The Golden-Angle Radial Sparse Parallel Magnetic Resonance Imaging of Rectal Perfusion: Performance for Prediction of Lymphovascular Invasion in Rectal Cancer

doi:10.21203/rs.3.rs-2444762/v1

Purpose: This study aims to determine whether the dual-parameter approach combined with either time-resolved angiography with stochastic trajectories (TWIST) or golden-angle radial sparse parallel (GRASP) and diffusion-weighted imaging (DWI) has superior diagnostic performance in predicting pathological lymphovascular invasion (pLVI) rectal cancer when compared with traditional single-parameter evaluations using DWI alone.

Materials and Methods: Patients with pathologically confirmed rectal cancer were enrolled. Perfusion (influx forward volume transfer constant [Ktrans] and rate constant [Kep]) and apparent diffusion coefficient (ADC) were measured by two researchers. For both sequences, areas under receiver operating characteristic (ROCs) to predict pLVI-positive rectal cancer were compared.

Results: A total of 179 patients were enrolled in our study. A combined analysis of ADC and perfusion parameters (Ktrans) acquired with GRASP yielded a higher diagnostic performance compared with diffusion parameters alone (area under the curve, 0.91±0.03 vs. 0.71±0.06, P<0.001); However, ADC with GRASP-acquired Kep and ADC with TWIST-acquired perfusion parameters (Ktrans or Kep) did not offer any additional benefit.

Conclusion: The Ktrans of the GRASP technique improved the diagnostic performance of multiparametric MRI to predict rectal cancers with pLVI-positive. In contrast, TWIST did not achieve this effect.

Health sciences/Gastroenterology/Gastrointestinal diseases/Gastrointestinal cancer

Health sciences/Oncology/Cancer/Cancer imaging

time-resolved angiography with stochastic trajectories

golden-angle radial sparse parallel

perfusion

apparent diffusion coefficient

lymphovascular invasion

Colorectal cancer is one of the leading causes of cancer morbidity and mortality worldwide[1]. Several factors determine its prognosis, including differentiation grade, T stage, and lymphovascular invasion (LVI)[2–4]. LVI, defined as the infiltration of tumor cells into lymphatic or blood vessels at the periphery of invasive carcinoma[5, 6], has been widely recognized as a negative prognostic factor in rectal cancer[7]. Even so, LVI has not been included as an important parameter to consider before adjuvant chemotherapy in the National Comprehensive Cancer Network guidelines due to difficulty in determining it before adjuvant chemotherapy; it can only be postoperatively diagnosed by histopathology[8]. Thus, more evidence is needed to warrant the application of LVI in clinical decision-making.

MR imaging has been used as an important technique for rectal cancer staging and estimates tumor vascular permeability on the basis of pharmacokinetic modeling of the tumor gadolinium concentration with respect to the plasma compartment[9]. Diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are functional MRI imaging techniques that yield qualitative and quantitative information and provide unique insights regarding tumor cellularity, the integrity of cell membranes, and microcirculation[10, 11]. It has been shown that quantitative DCE-MRI parameters and apparent diffusion coefficient (ADC) values correlate closely with histological grade[12, 13], response to neoadjuvant chemoradiotherapy (CRT) and tumor prognostic factors[14].

However, the view-sharing time-resolved angiography with stochastic trajectories (TWIST) technique, due to its high acceleration, is prone to motion artifacts caused by bowel movement or patient motion, which may reduce the diagnostic accuracy of the examination[15]. In addition, its accuracy is also compromised by a mismatch in timing between the administration of the contrast agent and the acquisition of the image as well as the typically rather low spatial resolution[15, 16].

Recently, golden-angle radial sparse parallel MRI (GRASP) has been proposed for rapid free-breathing dynamic MRI[16]. To improve temporal resolution, a motion- insensitive Golden Angle, the stack-of-stars acquisition, is combined with a compressed sensing reconstruction and is well suited for free-breathing DCE-MRI[15]. It has been applied to several DCE-MRI studies, including liver, prostate, breast, bladder, kidney, and rectum[15–22]. Previous studies have shown that GRASP perfusion could yield equivalent image quality and fewer motion artifacts than conventional DCE for rectal cancer imaging[15, 22]. Although all the above-mentioned studies have achieved satisfactory results, to our knowledge, the diagnostic performance of quantitative parameters of GRASP for LVI-positive rectal cancer has not yet been well determined. Moreover, previous studies[23–25] mainly focused on preoperative therapy response, staging, and prognostic assessment in rectal cancer by DCE-MRI or DWI. Few studies have been carried out focusing on the diagnostic performance of LVI positivity from quantitative DCE-MRI and DWI in rectal cancer. Consequently, our objective was to assess the diagnostic performance of a dual-parameter approach that combines either TWIST or GRASP with established DWI for predicting rectal cancer with LVI in comparison to a traditional single-parameter evaluation based on DWI alone.

Ethics statement

This retrospective study was approved by the Institutional Review Board named Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China. All research methods were conducted in accordance with the relevant guidelines and regulations. The need for written informed consent was waived by the institutional review board due to the retrospective design of the study.

Patient inclusion

Consecutive patients with nonmucinous rectal adenocarcinoma diagnosed by endoscopy-guided biopsy between December 2020 and October 2022 were included. The inclusion criteria were patients who had pathologically confirmed rectal cancer after surgical resection, patients with complete MRI images, and patients who had not received neoadjuvant chemoradiotherapy at the time of the MRI scan. The exclusion criteria were as follows: A. general MRI contraindications such as severely restricted kidney function, certain pacemakers, metal implants, claustrophobia, pregnancy; B. there was unresectable or metastatic diseases; C. mucinous cystadenoma was in evidence. Patients were randomized into two groups, GRASP and TWIST.

MRI acquisition

All MRI scans were acquired using 3.0 T and 1.5 T MR systems (MAGNETOM Vida and MAGNETOM Aera; Siemens Healthineers, Shanghai, China). GRASP acquisitions were only performed using the Vida system, and TWIST acquisitions were only performed using the Aera system by employing a 30-channel coil setup (18-channel body coil and 12 channels from the spine coil) for Vida and 18-channel coil setup (6-channel body coil and 12 channels from the spine coil) for Aera. Patients were placed head first and supine on the table. Bowel cleansing with an enema was performed 50 minutes before the examination. Patients were then administered 20 mg of scopolamine butyl bromide (Buscopan, Boehringer Ingelheim) intramuscularly 30 minutes before the scan to minimize bowel motion.

The conventional MRI protocol included sagittal, axial (perpendicular to the long axis of the rectum), oblique coronal T₂-weighted images without fat saturation and DWI (perpendicular to the long axis of the rectum). The acquisition parameters for T₂-weighted images were as follows: TR/TE, 4590/73; field of view, 220×220 mm²; matrix size, 256 × 512; section thickness, 3.5 mm; and intersection gap, 0.7 mm. Axial DW images of the pelvis were obtained with the following parameters: 4600/59; several signals acquired, eight; field of view, 360 mm²; section thickness, 4.5 mm; and b values, 50 and 1000 s/mm²[26–28].

GRASP or TWIST perfusion was measured after administering body weight-adapted intravenous gadopentetate dimeglumine (0.1 mmol/kg BW, Dotarem; Guerbet, Paris, France) at a rate of 2 mL/s. Protocol parameters for TWIST and GRASP acquisition are detailed in Table 1.

Table 1

Parameters for TWIST and GRASP
	TWIST	GRASP
TR	3.6 ms	3.5 ms
TE	1.44 ms	1.64 ms
Slice thickness	3.6 mm	3 mm
Matrix	192×130	256×256
FOV	320×320 mm²	273×394 mm²
FA	12 degrees	12 degrees
Temporal resolution	4.88 s	3.45 s
GRASP, golden-angle radial sparse parallel MRI; TWIST, time-resolved angiography with interleaved stochastic trajectories; TR, repetition time; TE, echo time; FOV, field of view; FA, flip angle

Image analysis

Image processing was performed by using a commercially available software application (Syngo. via VB30, MR Prostate, and MR Tissue4D; Siemens Healthineers, Shanghai, China). The TOFTS model was used to calculate quantitative pharmacokinetic model parameters, including the influx forward volume transfer constant (Ktrans, min^-1) and rate constant (Kep, min^-1).

Ktrans and Kep measurements were achieved by drawing the freehand ROI on perfusion maps on the largest three layers of tumor lesions (carefully avoiding necrosis or cystic areas). In this study, two experienced radiologists (with 6 and 10 years of experience in rectal imaging) performed this task blind to the patient's clinical and pathological information, but they were aware that the patients were rectal cancer patients. The radiologists reviewed the T₂WI and DWI images and determined the location of the tumor. The final Ktrans and Kep values corresponded to the mean values obtained by drawing three different levels of ROI (with areas no less than 1 cm²)[29] and taking the average. The Ktrans and Kep values were averaged between the two radiologists for further analysis (Fig. 1, Fig. 2).

The Adc Value

ADC measurement was achieved by drawing the freehand ROI on the central slice of the tumor (b = 1000 s/mm²); this task was performed by two experienced radiologists (with 6 and 10 years of experience in rectal imaging). The ROIs were drawn to cover the entire tumor area with sufficient size and then copied to the ADC maps. In addition, areas of necrosis, vessels, and cysts, as identified on T₂-weighted images, were avoided to minimize bias. The final ADC values corresponded to the mean values obtained by drawing three randomized ROIs in different tumor areas on three independent tumor-containing slices. The ADC values were averaged between the two radiologists for further analysis (Fig. 1, Fig. 2).

Pathological examinations

The presence of microscopic LVI was confirmed by a pathologist with 6 years of experience in pathology. LVI was assessed on hematoxylin and eosin-stained sections and was defined as carcinoma cells in a definite endothelial-lined space in the peritumoral rectum surrounding the invasive carcinoma. LVIs were classified into four grades: ly/v 0 (no LVI), ly/v 1 (minimal LVI), ly/v 2 (moderate LVI), and ly/v 3 (marked LVI). We divided LVIs into LVI-positive (ly/v 1–3) and LVI-negative groups (ly/v 0)[30].

Statistical analysis

The statistical analyses were performed using SPSS version 26 (IBM Corporation) and MedCalc (Version 16.8). Inter-observer variability of the continuous variables was assessed by using intraclass correlation coefficients (ICCs). The ICC was classified into poor (ICC < 0.2), fair (0.21–0.4), moderate (0.41–0.60), good (0.61–0.80), and excellent (0.81-1.00) agreement[31]. All quantitative ADC, Ktrans, and Kep parameters are presented as the mean ± standard deviation with range. The independent samples t test and chi-square test were used to compare the clinical information and quantitative parameters of the two groups. Statistical analyses were performed to determine whether a combined diffusion and perfusion parameter assessment could achieve higher diagnostic accuracy than a single-parameter evaluation based solely on diffusion measurements. The following parameters were evaluated: ADC combined with Ktrans and ADC combined with Kep versus ADC alone. To determine the optimal cutoffs for each parameter, receiver operating characteristic (ROC) curves were used to determine the points that maximized Youden's index. Youden’s index was calculated as specificity + sensitivity − 1[32]. The DeLong test was used to compare the ROC curves. To adjust for multiple testing and to control the type I error in our study, we performed a Bonferroni correction of the significance level of the individual test with the following formula: p*\(\frac{\alpha }{m}\)[33], where p * is the adjusted significance level, \(\alpha\) is the critical P value, and \(m\) is the number of comparisons. A two-sided p value < 0.05 represented statistical significance.

Accuracy was defined as:\(\frac{（true positive）+（true negative）}{（true positive）+（true negative）+（false positive）+（false negative）}\)

Patient characteristics

Based on the clinical history and physical examination results, 223 patients with clinically suspected rectal cancer were enrolled. Finally, 179 patients (98 examined by the GRASP technique and 81 examined by the TWIST technique) who underwent MRI were included in this study. Figure 3. There was no statistically significant difference between the two groups in terms of sex, age, or tumor location (P > 0.05) (Table 2).

Table 2

Clinical information of the two groups of patients
	TWIST(n = 81)	GRASP(n = 98)	P value
Gender, n(%)			0.549
male	65(80.2)	75(76.5)
female	16(19.8)	23(23.5)
Age(years)	63.25 ± 10.85	61.24 ± 10.43	0.211
Tumor location, n(%)			0.938
high	27(33.3)	32(32.7)
medium	36(44.4)	42(42.9)
low	18(22.2)	24(24.5)
Note: GRASP = golden-angle radial sparse parallel
TWIST = view-sharing time-resolved angiography with stochastic trajectories technique
The test level for the p value was 0.05.

Interobserver Agreement Between The Two Groups

Interobserver agreement was excellent for Ktrans (ICC, 0.954; 95% CI: 0.774–0.984), Kep (ICC, 0.917; 95% CI: 0.820–0.962), and ADC (ICC, 0.911; 95% CI: 0.693–0.966) in the TWIST group; Interobserver agreement was excellent for Ktrans (ICC, 0.908; 95% CI: 0.399–0.971), Kep (ICC, 0.922; 95% CI: 0.699–0.970), and ADC (ICC, 0.909; 95% CI: 0.221–0.974) in the GRASP group.

Assessment Of The Diagnostic Performance Of Dce Mri And Dwi

The ADC value of pLVI-positive rectal cancer was significantly lower than that of pLVI-negative rectal cancer for the TWIST group (0.93 ± 0.18 vs. 1.15 ± 0.13, p < 0.001) and the GRASP group (0.98 ± 0.13 vs. 1.10 ± 0.16, p < 0.001). The Ktrans and Kep of pLVI-positive rectal cancer were significantly higher than those of pLVI-negative rectal cancer for both groups (all P < 0.001) as shown in Table 3. Table 4 shows the diagnostic performance of different models for the discrimination of pLVI-positive rectal cancer. Ktrans (cutoff value, 0.67 min^− 1) showed higher accuracies to detect pLVI-positive rectal cancer than ADC (cutoff value, 0.95×10^− 3 s/mm²) or Kep (cutoff value, 0.93 min^− 1) in the GRASP group.

Table 3

Quantitative results of predicting pLVI-positive from pLVI-negative rectal cancer
TWIST(n = 81)	pLVI-negative (n = 58)	pLVI-positive (n = 23)	P value
ADC-T	1.15 ± 0.13	0.93 ± 0.18	< 0.001
Ktrans-T	0.58 ± 0.16	0.94 ± 0.29	< 0.001
Kep-T	0.82 ± 0.18	1.00 ± 0.28	0.001
GRASP(n = 98)	pLVI-negative (n = 74)	pLVI-positive (n = 24)	P value
ADC-G	1.10 ± 0.16	0.98 ± 0.13	0.002
Ktrans-G	0.61 ± 0.18	0.86 ± 0.15	< 0.001
Kep-G	0.84 ± 0.25	1.03 ± 0.23	0.002
Note. Data are the mean ± standard deviation unless otherwise indicated. P values less than 0.05 were considered to indicate statistical
significance. ADC = apparent diffusion coefficient; GRASP = golden-angle radial sparse parallel; Ktrans = influx forward volume
transfer constant; Kep = rate constant; VIBE = volumetric interpolated breath-hold examination; pLVI = pathological lymphovascular invasion

Table 4

Performance of models for predicting pLVI-positive rectal cancer
Group	ADC			Ktrans			Kep
Group	Accuracy	AUC	Cutoff	Accuracy	AUC	Cutoff	Accuracy	AUC	Cutoff
TWIST(n = 81)	85(69/81)	0.80 ± 0.06	1.05	90(73/81)	0.87 ± 0.06	0.84	72(58/81)	0.70 ± 0.07	0.92
GRASP(n = 98)	65(66/98)	0.71 ± 0.06	0.95	68(67/98)	0.85 ± 0.04	0.67	61(60/98)	0.68 ± 0.06	0.93
Group	ADC with Ktrans			ADC with Kep			P value
Group	Accuracy	AUC	Cutoff	Accuracy	AUC	Cutoff	ADC vs. ADC with Ktrans	ADC vs. ADC with Kep
TWIST(n = 81)	85(69/81)	0.91 ± 0.04	0.24	90(73/81)	0.82 ± 0.06	0.43	0.076	0.511
GRASP(n = 98)	87(85/98)	0.91 ± 0.03	0.38	80(78/98)	0.79 ± 0.06	0.32	< 0.001	0.061
Note: Data in parentheses are numerators/denominators. Areas under the curve are ± standard error. Perfusion parameters derived from the TWIST and GRASP MRI study participant groups are shown. P < 0.025 was considered to indicate statistical significance.
ADC = apparent diffusion coefficient; AUC = area under the curve; GRASP = golden-angle radial sparse parallel; Kep = rate constant; Ktrans = influx forward volume transfer constant; ROC = receiver operating characteristic; TWIST = view-sharing time-resolved angiography with stochastic trajectories technique; pLVI = pathological lymphovascular invasion

Assessment Of Single- Versus Dual-parameter Models

Combining ADC with perfusion parameters using a binary logistic regression approach. According to the dual-parameter analysis, the combination of ADC cutoff levels and GRASP-based Ktrans offered significantly better diagnostic performance than a single-factor evaluation based solely on ADC cutoff levels for the discrimination of pLVI-positive rectal cancer (ADC with Ktrans vs. ADC, p < 0.001). In terms of single-parameter evaluation, Ktrans provided the best results. In the combined analysis of ADC and perfusion cutoff levels based on TWIST, this statistical level of improvement was not observed. Table 4. Figure 4 shows that when the cutoff levels are based on GRASP-derived perfusion parameters combined with ADC, pLVI-positive rectal cancer can be distinguished more effectively (fewer overlaps) compared to the cutoff levels based on TWIST-derived perfusion parameters combined with ADC.

We found that a dual-parameter approach incorporating Ktrans of GRASP and established DWI allows better diagnosis of pLVI in rectal cancer than a traditional single-parameter assessment based solely on DWI. The Ktrans and Kep of pLVI-positive rectal cancer were significantly higher than those of pLVI-negative rectal cancer (p < 0.05).

Igarashi et al.[30] reported that the tumor ADC value is a significant predictor of LVI in breast cancer. In our study, the ADC of pLVI-positive rectal cancer was significantly lower than that of pLVI-negative rectal cancer (p < 0.05), which was consistent with previous studies[34, 35]. This results from the fact that with the increase in the degree of cancerous behavior of malignant tumor, the proliferation of tumor cells significantly accelerates. The ratio of the nucleus and the cell density per unit volume increases, leading to a decrease in the extracellular space distance and free diffusion of water molecules, limitation of distribution, and in turn, a lower ADC value[12]. Choi et al.[6] found no significant correlation for pLVI with either the minimum, maximum, or mean ADC values (p > 0.05). The reason for the discordance between our results and those of others may be attributed to several factors, including the use of different ADC measurements, inability to capture tumor heterogeneity when calculating mean diffusion parameters obtained from single-section regions or multiple small ROIs, and the choice of different b-values[35].

Ktrans reflects the ability of the contrast agent to be transported from the blood vessels to the interstitial space, the higher the degree of malignancy, the more capillaries there are, leading to a higher Ktrans value[5]. Similarly, a higher Kep value represents greater blood return to the vasculature. Therefore, a higher Kep value indicates more leakage of the contrast medium. Our study found that Ktrans and Kep of pLVI-positive rectal cancer were significantly higher than those of pLVI-negative rectal cancer (p < 0.05), which was consistent with previous studies[7]. This is because LVI strongly correlates with a high peritumoral lymphovascular density and more aggressive neovascularization, and these alterations induce differences in the volume and flow of blood in the tumor microcirculatory environment[5, 36–38]. However, according to Lai et al.[8], there was no significant difference in Ktrans between pLVI-positive and pLVI-negative groups (p > 0.05) in breast cancer. The reason could be due to the large sample size of our study and the complexity of the underlying pathophysiology of heterogeneous rectal cancer.

Quantitative DCE-MRI parameters and ADC values were reported to be closely correlated with clinical and histological grade, response to neoadjuvant chemoradiotherapy (CRT), and prognostic factors of various tumors[14, 39, 40]. There are some limitations of conventional DCE-MRI, however. First, the temporal resolution is approximately 5–18 s per phase. Second, the acquisitions require breath holds, which can be challenging in some patients and can restrict spatiotemporal resolution and volumetric coverage in dynamic imaging acquisitions[41–45]. In our study, we utilized radial acquisition with GRASP, which increased spatial and temporal resolutions compared to TWIST. According to the literature[46, 47], the higher the temporal resolution, the more accurate the semiquantitative and quantitative parameters obtained during the DCE scan will be.

Winkle et al.[48] revealed that GRASP had been shown to improve the diagnostic accuracy of multiparametric MRI examinations of the prostate when incorporated into a dual-parameter model that included diffusion and perfusion characteristics. Ao et al.[45] reported that the Ktrans and ADC values were independent predictors of extramural venous invasion in rectal cancer. According to the study by Oberholzer et al.[49], MR perfusion may serve as a complementary biomarker to ADC values to assess tumor characteristics associated with the effectiveness of chemoradiation before treatment initiation. We found that the dual-parameter analyses, which combined ADC values with the Ktrans from GRASP, provided a better diagnosis of pLVI-positive rectal cancers than the single-factor analysis of ADC. GRASP was the only technique used to calculate perfusion maps, resulting in a statistically significant difference in tumor detection. Thus, it may be hypothesized that the combined increased spatial and temporal resolution of the former acquisition method benefits the discrimination of pLVI-positive rectal cancer.

Our study had limitations. First, the TWIST and GRASP groups were scanned in MR scanners with different field strengths, which may affect the measurement of perfusion and diffusion parameters. Second, it is essential to note that this is a single institutional study without a validation cohort, so future studies are required to determine whether our results can be replicated in other medical institutions. Third, the retrospective design, which may predispose to selection bias.

Despite these limitations, our results indicate that Ktrans acquired from GRASP techniques significantly enhanced the diagnostic performance of multiparametric MR examinations in predicting rectal cancer with LVI-positive when integrated into a dual-parameter model by incorporating diffusion and perfusion characteristics. In contrast, Kep acquired from GRASP and TWIST perfusion parameters did not exhibit this effect.

We declare no conflict of interest between the authors

Author contributions:

Mi Zhou: manuscript editing

Yingying Fan: study concepts and design

Ling Wu: clinical studies

Hongyun Huang: statistical analysis

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No competing interests reported.

The Golden-Angle Radial Sparse Parallel Magnetic Resonance Imaging of Rectal Perfusion: Performance for Prediction of Lymphovascular Invasion in Rectal Cancer

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