Diameter of Superior Rectal Vein - CT Predictor of KRAS Mutation in Rectal Carcinoma.

BACKGROUND: The purpose of this study was to investigate the feasibility of CT parameters to predict the presence of KRAS mutations in rectal cancer patients. The relationship between the presence of a KRAS mutation and pathological findings was evaluated simultaneously.
METHODS: Eighty-nine patients (29 females, 60 males, age 27-90, mean 59.7±12 years) with pathologically proven rectal cancer were enrolled. A KRAS mutation test was completed following surgery. Parameters evaluated on CT included the tumor location, the diameter of the superior rectal vein (SRV) and inferior mesenteric vein (IMV), the presence of calcification, ulceration, lymph node enlargement (LNE), distant metastasis, tumor shape (intraluminal polypoid mass, infiltrative mass, or bulky), circumferential extent (C0-C1/4, C1/4-C1/2, C1/2-C3/4, or C3/4-C1), enhanced pattern (homogeneous or heterogeneous), CT ratio, and the length of the tumor (LOT). Pathological findings included lymphovascular emboli, signet ring cell, peripheral fat interval infiltration, focal ulcer, lymph node metastasis, tumor pathological type, and differentiation extent. The correlations between KRAS status and CT parameters, and KRAS status and pathological findings were investigated. The accuracy of CT characteristics for predicting KRAS mutation was evaluated.
RESULTS: A KRAS mutation was detected in 42 cases. On CT image, the diameter of the SRV was significantly increased in the KRAS mutation group compared to in the KRAS wild-type group (4.6±0.9 mm vs 4.2±0.9 mm, p=0.02), and LNE was more likely to occur in the KRAS mutation group (73.3% vs 26.7%, p=0.03). There was no significant difference between the KRAS mutation group and the KRAS wild-type group on the other CT parameters (location, IMV, calcification, ulcer, distant metastasis, tumor shape, enhanced pattern, circumferential extent, CT ratio, and LOT). In the pathological findings, a KRAS mutation was more likely to occur in the middle differentiation group (p=0.03). No significant difference was found between the KRAS mutation group and the KRAS wild-type group in the presence of lymphovascular emboli, signet ring cell, peripheral fat interval infiltration, focal ulcer, lymph node metastasis, and tumor pathological type. With the best cut-off value of 4.07 mm, the AUC of the SRV to predict a KRAS mutation was 0.63 with a sensitivity of 76.2% and a specificity of 48.9%.
CONCLUSION: It was feasible to use the diameter of the SRV to predict a KRAS mutation in rectal cancer patients, and LNE also can be regarded as an important clue on preoperative CT images.

Background

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the fourth leading cause of cancer-related deaths in the world.1 Rectal carcinoma accounts for around 30–35% of all CRC cases.2 In China, the incidence of CRC was approximately 37.6 per 100,000, with a mortality of 19.1 per 100,000.3 From 1972 to 2005, the rates of rectal cancer increased from 7.68 and 6.51 to 11.45 and 8.28 per 100,000 in males and females, respectively.4 Nevertheless, with the improvement of therapeutic regimens, decreasing rectal cancer mortality has also been observed.5 Anti-EGFR (epidermal growth factor receptor) drugs are proven effective for rectal cancer. However, tumor response to anti-EGFR drugs is significantly related to the presence of a KRAS (Kirsten rat sarcoma viral oncogene homologue) mutation. Generally, metastatic CRC patients with a KRAS mutation tend to be resistant to anti-EGFR therapy.6 According to the American Society of Clinical Oncology, if a KRAS mutation in codon 12 or 13 is detected, then patients with metastatic colorectal carcinoma should not receive anti-EGFR antibody therapy as part of their treatment.7 For this reason, KRAS mutation evaluation shows great importance for rectal cancer patients before pharmaceutical treatment is commenced.

Commonly, KRAS status (mutated type or wild type) is tested in postoperative pathology specimens. However, patients with advanced or metastatic rectal carcinoma may not receive surgery treatment or obtain specimens for testing. Biopsy through colonoscopy is one of the main invasive methods of specimen acquisition for KRAS status testing. The accuracy is influenced by sampling error and tumor heterogeneity. According to Jahn et al, different metastatic lymph nodes can be segregated into multiple intra-tumoral KRAS mutations.8 And despite clinical success in gene testing, the potential loss of gene information during the DNA extraction process is still an unavoidable factor.

As a noninvasive method, medical imaging could be adapted for the further assessment of neoplastic features. Though MRI (magnetic resonance imaging) has been regarded as the first choice of local staging in rectal carcinoma, for patients with MRI contraindications, contrast enhanced CT also presents great value for diagnosis. There has been an increasing amount of studies exploring the correlation between cancer biological markers and imaging findings. A few studies have focused on predicting KRAS mutations through various imaging methods such as PET-CT (positron emission tomography–computed tomography)9,10 and MRI.11 However, little research has been performed on predicting KRAS mutations in rectal carcinoma by preoperative MSCT (multi-slice computed tomography) examination. Our study set out to assess the effect of CT parameters to predict a KRAS mutation in patients with rectal carcinoma, including observed CT features and anatomical-based measurement. Meanwhile, the SRV (superior rectal vein) only receives the blood flow from the rectum, making the SRV particularly sensitive to any factors influencing the biological process of the rectum. And the SRV has been proven to be significantly increased in rectal cancer with lymphovascular invasion.12 In our study, CT parameters, especially the SRV, have been assessed to predict KRAS mutations. Lymph node enlargement (LNE), distant metastasis, enhanced pattern, CT ratio, and the length of tumor were supposed to imply the different invasive behaviors of rectal carcinoma.5 The correlation between pathological findings and KRAS status has also been evaluated.

Methods

Patients

This study was conducted in accordance with the ethical guidelines for human research and received Institutional Review Board or ethical committee approval. Written informed consent was obtained from all patients in the study.

The inclusion criteria are as follows: 1) preoperative CT data; 2) no preoperative chemotherapy or radiation therapy; 3) surgical treatment commenced within 1 week after CT examination; 4) pathological proven rectal carcinoma; and 5) KRAS mutation testing was performed after surgery. The exclusion criteria are as follows: 1) presence of other malignant, infectious, or vascular disease in the abdominopelvic area instead of rectal carcinoma; and 2) poor imaging quality for measuring the CT predictors.

A total of 285 patients with surgically proven rectal carcinoma from December 2015 to October 2017 in the First Affiliated Hospital of Sun Yat-Sen University were enrolled in this retrospective study. One hundred and eighty-seven patients without KRAS mutation evaluation, three patients with incomplete CT images, and six patients with other malignant tumors were excluded (Figure 1).

Figure 1

Data filtering process.

CT Protocol

All patients underwent enema preparation and fasting 6~8 hours before the CT scan. To expand the intestine carefully, patients were given 1.6~2.0 L of 2.5% isotonic mannitol solution 1 hour before the CT scan; 0.4~0.5 L of 2.5% isotonic mannose at 45 min, 30 min, and 15 min before the CT scan; and 300~500 mL of a saline enema immediately before the CT scan.

All patients were scanned using a 320-detector row CT machine (Aquilion ONE; Toshiba Medical System, Tokyo, Japan), with the same scanning parameters as follows: tube voltage, 120 kV; tube current, 250 mA; standard value, 320×0.5 mm; slice thickness, 1 mm; slice gap, 1 mm. All patients were in a supine position, with a CT scan range from the top of the diaphragm to the level of the ischial tubercle. Iopromide (Ultravist 300; Schering, Berlin, Germany) was selected as the contrast agent with an injection flow rate of 3.5 mL/s. Unenhanced and enhanced CT scans were taken at 32 s and 60 s after injecting iopromide, respectively. All data were later delivered to the workstation (Vitrea2; Toshiba Medical System, Tokyo, Japan) for processing.

CT Features

The preoperative CT data of all patients were interpreted independently by two diagnostic radiologists with 15 and 25 years of experience, respectively, who were blinded to the patients’ pathological diagnosis. The diameter of the SRV and IMV (inferior mesenteric vein) was measured on preoperative CT images during the venous phase. (The minimum diameter of the relevant level was measured.) The diameter of the SRV was measured on the second sacral vertebral plane (better differentiation of the SRV from surrounding adipose tissue due to its position in the transverse plane at this level). The diameter of the IMV was measured at 5 mm from its root into the superior mesenteric vein or splenic vein (Figures 2 and 3). The enhanced ratio (ER, the ratio of CT value between lesion and aorta or branch artery at the same plane) and the length of the tumor (LOT, length on the sagittal plane) were measured during the venous phase. The final data above were taken as the mean value of the two specialists’ readings. The presence of calcification and ulcer was observed on the unenhanced phase and venous phase, respectively. The lesions were classified as high (10.1–15 cm from the anal verge), middle (5.1–10 cm from the anal verge), and low (0–5 cm from the anal verge) tumors according to the location. Tumor shape was divided into three types: intraluminal polypoid mass, infiltrative mass, and bulky. The circumferential extent of the tumor was divided into four types on the axial bowel plane: C0–C1/4, C1/4–C1/2, C1/2–C3/4, and C3/4–C1. Tumor density was observed on unenhanced and enhanced phases, respectively. Unclear boundaries of serosa mean increased density of the fat interval beside the tumor. The definition of lymph node enlargement is a short axis of the lymph node more than 8 mm.13 The lymph node density is also observed on the venous phase. The presence of distant metastases refers to carcinoma lesions present in other distant organs or tissues. If two radiologists had any disagreement on the above observed CT features, the debating feature would be reread until a consensus is reached.

Figure 2

Position of the SRV is shown with the white arrow on the second sacral vertebral transverse plane. The white line represents the diameter of the SRV.

Figure 3

Position of the IMV is shown with the white arrow.

Pathological Data and KRAS Testing

The presence of lymph node metastasis, signet ring cell, lymphovascular emboli, focal ulcer, and tumor differentiation degree were all confirmed on pathological examination. Peripheral fat interval infiltration refers to the rectal cancer cell breaking into the perirectal fat interval. Tumor pathological types include adenocarcinoma, mucinous adenocarcinoma, and mixed type with good, moderate, and poor differentiation in three differentiation extents. The TNM staging followed the American Joint Committee on Cancer for colorectal cancer, 8th edition.14

KRAS mutation evaluation was carried out using DNA extracted from paraffin sections (pathological tissue acquired after surgery). Mutational analysis for KRAS was performed using the CFX96 Real-Time PCR Detection System (Bio-Rad, Philadelphia, PA, USA) with the PNA clamp™ KRAS mutation detection kit (Panagene, Inc., Daejeon, Korea). Codon 12 and codon 13 were detected.

Statistical Analysis

The analyses were performed using SPSS version 25 and MedCalc Version 19.4.1. The consistency check was conducted between the data measured by two radiologists. Two independent-sample t-tests were used in continuous variables between the KRAS mutation and KRAS wild-type groups when continuous variables were consistent with a normal distribution. When continuous variables were not consistent with a normal distribution, nonparametric t-tests were used in these continuous variables. The difference between the KRAS mutation and KRAS wild-type groups was analyzed using a chi-squared test for categorical variables, and Fisher’s exact test was applied when categorical variables were not consistent with the conditions of the chi-squared test. Difference with p<0.05 was considered as statistically significant. Binary logistics regression was used to select variables, and the receiver operating characteristic (ROC) curve was used to evaluate the effectiveness of diagnosis through the area under the curve (AUC).

Results

Patient Characteristics

A total of 89 patients (29 females, 60 males, age 27–90, mean 59.7±12 years) were enrolled in accordance with the above inclusion and exclusion criteria. In T stage, there were 14 patients with T2 stage, 27 patients with T3 stage, 46 patients with T4 stage, and two patients with an unevaluable primary tumor. In N stage, there were 51 patients with N0 stage, 23 patients with N1 stage, 13 patients with N2 stage, and two patients with unevaluable regional lymph nodes. In M stage, there were six patients with M1.

CT Parameters and KRAS Mutation

The data measured by two radiologists showed good consistency. The cronbach’s alpha coefficient was 0.998 for the SRV between two radiologists. We use logistic regression to select variables to predict KRAS mutation and the SRV diameter was the only selected variable. The diameter of the SRV was significantly increased in the KRAS mutation group compared to the KRAS wild-type group (4.62±0.94 mm vs 4.19±0.82 mm, p=0.02). With the best cut-off value of 4.07 mm, the sensitivity and specificity were 76.2% and 48.9%, respectively. The positive and negative predictive values were 57.1% and 69.7%. LNE was more likely to occur in the KRAS mutation group (73.3% vs 26.7%, p=0.03; Figures 4 and 5). No significant difference was found between the KRAS mutation group and the KRAS wild-type group on the other CT parameters (location, the diameter of IMV, calcification, ulcer, distant metastasis, tumor shape, circumferential extent, enhanced pattern, CT ratio, and LOT) (Tables 1 and 2).

Figure 4

Transverse MSCT of a 40-year-old male patient with rectal cancer with a KRAS mutation: rectal carcinoma lesion (A, white arrow with short tail) was on the anterior rectal wall with LNE (B, white arrow with long tail). The short axis length of the enlarged lymph node was 12 mm. The diameter of the SRV (C, white arrow with short tail) was dilated (5.0 mm, >4.5 mm).

Figure 5

Transverse MSCT of a 64-year-old female patient with rectal cancer without a KRAS mutation: rectal carcinoma lesion (A, white arrow with short tail) was on the anterior rectal wall without LNE. The diameter of the SRV (B, white arrow with long tail) was normal size (3.5 mm).

Table 1

CT Predictors and KRAS Status (continuous variables)

	Test of Normality	KRAS Status		t/z	p
		Mutated (n=42)	Wild (n=47)
Length (mm)	0.20	43.49±16.35	45.16±13.13	0.53	0.59
SRV (mm)	0.10	4.62±0.94	4.19±0.82	−2.30	0.02
IMV (mm)	0.02	4.90 (4.47, 5.47)	4.98 (4.42, 5.54)	−0.25	0.80
CT ratio (unenhanced)	0.01	0.89 (0.79, 1.01)	0.94 (0.76, 1.12)	−0.65	0.52
CT ratio (venous phase)	0.20	0.52±0.08	0.55±0.09	1.58	0.12

Table 2

CT Predictors and KRAS Status (categorical variables)

	KRAS Status		Total	t/χ2	p
	Mutated	Wild
Sex				1.10	0.29
M	26 (28.3)	34 (31.7)	60 (60.0)
F	16 (13.7)	13 (15.3)	29 (29.0)
Calcification				–	0.46
Y	2 (1.4)	1 (1.6)	3 (3.0)
N	40 (40.6)	46 (45.4)	86 (86.0)
Ulcer				0.47	0.50
Y	37 (35.9)	39 (40.1)	76 (76.0)
N	5 (6.1)	8 (6.9)	13 (13.0)
Location				0.41	0.81
High	10 (11.3)	14 (12.7)	24 (24.0)
Middle	18 (17.5)	19 (19.5)	37 (37.0)
Low	14 (13.2)	14 (14.8)	28 (28.0)
Shape				5.37	0.07
Intraluminal polypoid mass	19 (16.5)	16 (18.5)	35 (35.0)
Infiltrative mass	20 (24.1)	31 (26.9)	51 (51.0)
Bulky	3 (1.4)	0 (1.6)	3 (3.0)
Unenhanced density				0.12	0.73
Homogeneous	23 (22.2)	24 (24.8)	47 (47.0)
Heterogeneous	19 (19.8)	23 (22.2)	42 (42.0)
Enhanced density				0.02	0.90
Homogeneous	22 (21.7)	24 (24.3)	46 (46.0)
Heterogeneous	20 (20.3)	23 (22.7)	43 (43.0)
Circumferential extent				7.31	0.06
C0–C1/4	2 (0.9)	0 (1.1)	2 (2.0)
C1/4–C1/2	14 (12.3)	12 (13.7)	26 (26.0)
C1/2–C3/4	18 (15.6)	15 (17.4)	33 (33.0)
C3/4–C1	8 (13.2)	20 (14.8)	28 (28.0)
Boundary of serosa				0.53	0.47
Clear	13 (14.6)	18 (16.4)	31 (31.0)
Unclear	29 (27.4)	29 (30.6)	58 (58.0)
Lymph node enlargement				4.95	0.03
Y	11 (7.1)	4 (7.9)	15 (15.0)
N	43 (39.1)	31 (34.9)	74 (74.0)
Enhanced lymph node				0.06	0.80
Homogeneous	34 (34.4)	39 (38.6)	73 (73.0)
Heterogeneous	8 (7.6)	8 (8.4)	16 (16.0)
Distant metastasis				−	0.61
Y	3 (2.8)	3 (3.2)	6 (6.0)
N	39 (39.2)	44 (43.8)	83 (83.0)

Pathological Findings and KRAS Mutation Status

In pathological findings, KRAS mutations were more likely to occur in the middle differentiation group (p=0.03). No significant difference was found between the KRAS mutation group and the KRAS wild-type group in the presence of lymphovascular emboli, signet ring cell, peripheral fat interval infiltration, focal ulcer, lymph node metastasis, and tumor pathological type (Table 3).

Table 3

Pathological Findings and KRAS Status

	KRAS Status		Total	t/χ2	p
	Mutated	Wild
Lymphovascular emboli				–	0.42
Y	3 (3.8)	5 (4.2)	8 (8.0)
N	39 (38.2)	42 (42.8)	81 (81.0)
Signet ring cell				–	0.53
Y	0 (0.5)	1 (0.5)	1 (1.0)
N	42 (41.5)	46 (46.5)	88 (88.0)
Peripheral fat interval infiltration				0.02	0.88
Y	23 (22.7)	25 (25.3)	48 (48.0)
N	19 (19.3)	22 (21.7)	41 (41.0)
Ulcer				1.83	0.18
Y	19 (22.2)	28 (24.8)	47 (47.0)
N	23 (19.8)	19 (22.2)	42 (42.0)
Lymph node metastasis				0.76	0.38
Y	19 (17.0)	17 (19.0)	36 (36.0)
N	23 (25.0)	30 (28.0)	53 (53.0)
Histological type				–	0.32
Adenocarcinoma	37 (38.7)	45 (43.3)	82 (82.0)
Mucinous adenocarcinoma	1 (0.9)	1 (1.1)	2 (2.0)
Mixed	4 (2.4)	1 (2.6)	5 (5.0)
Differentiation extent				–	0.03
Low	0 (2.8)	6 (3.2)	6 (6.0)
Middle	42 (38.7)	40 (43.3)	82 (82.0)
High	0 (0.5)	1 (0.5)	1 (1.0)

Note: Fisher’s exact method was used.

Discussion

Over the past two decades, the specific clinical significance of KRAS mutation for patients’ individual medical management has been studied and applied to patient management.15 There is a consensus that anti-EGFR antibody therapy is an effective choice for some metastatic rectal carcinoma patients without a KRAS mutation.16 The reasons why patients cannot benefit from anti-EGFR therapy may be explained by the heterogeneity of the tumor. However, medical imaging methods may disclose certain features associated with KRAS mutations. The feasibility of combining medical imaging parameters to predict KRAS mutations has been proven in some previous studies.17–19 In the study by Lovinfosse et al,20 rectal cancers with KRAS or NRAS mutations displayed a significantly higher glucose metabolism than wild-type cancers with 18F-FDG PET/CT imaging. Kawada et al9,21 found that 18F-FDG accumulation into metastatic CRC assessed by SUVmax (the maximum standardized uptake value for the primary tumor) was associated with KRAS status. As for MRI, Xu et al22 found lower mean ADC (apparent diffusion coefficient) and higher D* (pseudo diffusion coefficient) values on MRI with KRAS mutations in rectal carcinoma. And the study by Shin et al,5 showed that KRAS mutations were associated with N stage, gross tumor pattern, axial length of the tumor, and the ratio of the axial to the longitudinal dimensions of the tumor on MRI. So far as we know, there is no study that focuses on the correlation between CT image features and KRAS status of rectal cancer.

Our study took in both observed CT features and anatomical-based measurements on preoperative CT images and found that the diameter of the SRV was significantly increased in positive KRAS mutation patients. However, no significant difference was found between the KRAS mutation group and the KRAS wild-type group in the diameter of the IMV. This can be explained by anatomical characteristics, namely that the SRV is the direct vein for the rectum. The key point is that the SRV only receives the blood flow from the rectum, making the SRV particularly sensitive to any factors influencing the biological process of the rectum. However, the IMV receives blood from both the SRV and the sigmoid vein, so there is decreased accuracy of the IMV to predict hemodynamic changes in the rectum.

It is well known that the obstruction of the proximal vein and increased distal blood flow are two major mechanisms for venous dilatation. Our study excluded patients with other neoplastic, infectious, or vascular diseases to ensure the specificity of the SRV predicting blood flow change in the rectum. Earlier research has reported the close relationship between the tumor evasiveness of colorectal cancer and its drainage vein diameters. Wu et al12 found that rectal cancer patients with positive lymphovascular invasion showed a significantly increased mean superior hemorrhoidal vein diameter. The study by Khan et al further supported this finding, where patients with right hemicolon cancer showed a significantly increased mean SMV (superior mesenteric vein) diameter at presentation.23 Therefore, drainage vein diameters may become an effective predictor for the evaluation of colorectal cancer. In our study, we further investigated the possibility of SRV diameter for predicting KRAS mutations in rectal cancer.

Pathologically, increased venous blood flow and emerging collateral vessels in rectal cancer are two leading reasons for the increased diameter of the SRV. The destruction of microcirculation in the tumor increases venous blood in the vein, and demand for increased blood supply promotes the development of collateral vessels. VEGF is found to be the strongest mitogen of endothelial cells, which is a key regulator of tumor angiogenesis, vascular remodeling, and vascular sprouting. Vega-Avila and Pugsley24 found that VEGF helped vascular proliferation during cancer development, leading to increased blood supply to the tumor. Previous research has shown that KRAS mutations support the production of VEGF and the decline of angiogenesis inhibitor thrombospondin.25–27 According to research by Yeo et al,11 the microvessel density evaluated on dynamic contrast-enhanced MRI correlates with the expression level of VEGF, which is consistent with the KRAS mutation.25 Also, the study carried out by Krajnović et al28 found that the simultaneous presence of KRAS mutations and high VEGF expression was related to worse responses to chemoradiotherapy, the frequent appearance of local recurrences, distant metastasis, and shorter overall survival in rectal cancer.

In our study, LNE was also more likely to occur in rectal cancer patients with KRAS mutations. This could be explained by two mechanisms. One is that at the same time as there is increased blood flow of the rectum, lymphatic system homeostasis is maintained by lymphangiogenesis, offering more chances for tumor cells to spread. The other explanation is lymph node metastases. However, according to the pathological results, there was no significant difference in lymph node metastases between the KRAS mutation and wild-type groups. This suggests that hemodynamic factors might have an earlier influence on the enlargement of the lymph node.

In our pathological findings, there was no significant difference between the KRAS mutation group and the KRAS wild-type group in the presence or absence of lymphovascular emboli, signet ring cell, or histological type. This should be interpreted with caution due to the small number of patients with evidence of lymphovascular emboli signet ring cell, or histological type, which were three, one, and five patients, respectively. With regard to differentiation extent (p=0.03), considering the case number of high and low differentiation groups, further research is still needed. In our study, there was no significant difference between the KRAS mutation group and the KRAS wild-type group in the presence and absence of peripheral fat interval infiltration. This might be explained by the fact that local tumor aggressiveness is driven by multiple oncogenes, among which KRAS was not the only determining factor.29 It has been suggested in a study conducted by Li et al30 that poor tumor cellularity, tumor heterogeneity, and adjuvant therapy may confound the molecular diagnosis of CRC and should be highlighted in prospective assessment. In the process of diagnosis, imaging characteristics could show other foci beside the rectum and provide complementary information to gene testing. There are still many unanswered questions about the association between the mutation at gene level and medical imaging parameters that we can measure. Future studies are still required to explore these possibilities. In medical imaging aspects, MSCT, MRI, and 18F-FDG-PET/CT are all important examinations for us to develop further insight into the role of KRAS mutations in rectal carcinoma. Positive results have already been seen on MRI5,11,22 and 18F-FDG-PET/CT10,20 for predicting KRAS mutations in colorectal carcinoma. However, CT predictors of KRAS mutations in rectal carcinoma have not been described previously. In this study, the increased diameter of the SRV and LNE were found in the KRAS mutation group.

However, there are some limitations to this study. First, LOT was measured on a single plane, with unavoidable factors, including the corrugation and crooked distribution of the rectal wall. Second, though SRV diameter was proven statistically different between the KRAS mutation group and the KRAS wild-type group in our study., the specificity and positive and negative predictive values were unsatisfactory. It might be that due to the relatively small size of SRV diameter, measuring error cannot be avoided in this study. Furthermore, the number of cases in this study was relatively small and the enrolled patients are usually nonadvanced patients according to our inclusion criteria. The selection bias cannot be avoided. Consequently, a larger multicenter sample study is still needed for further research before it can be applied to daily practice. On the other hand, measurement of the SRV diameter with the use of artificial intelligence may be a more advanced method.

Conclusion

This study has demonstrated feasibility in using the diameter of the SRV to predict KRAS mutations in rectal cancer patients, and LNE on preoperative CT images can also be an important indicator.