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Chinese Journal of Cancer Research logoLink to Chinese Journal of Cancer Research
. 2021 Oct 31;33(5):606–615. doi: 10.21147/j.issn.1000-9604.2021.05.07

Better prognostic determination of cT3 rectal cancer through measurement of distance to mesorectal fascia: A multicenter study

Xiaoyan Zhang 1,*, Qiaoyuan Lu 1,*, Xiangjie Guo 2,*, Wuteng Cao 3,*, Hongmei Zhang 4,*, Tao Yu 5, Xiaoting Li 1, Zhen Guan 1, Xueping Li 1, Ruijia Sun 1, Yingshi Sun 1,*
PMCID: PMC8580799  PMID: 34815634

Abstract

Objective

To forward the magnetic resonance imaging (MRI) based distance between the deepest tumor invasion and mesorectal fascia (DMRF), and to explore its prognosis differentiation value in cT3 stage rectal cancer with comparison of cT3 substage.

Methods

This was a retrospective, multicenter cohort study including cT3 rectal cancer patients undergoing neoadjuvant chemoradiotherapy followed by radical surgery from January 2013 to September 2014. DMRF and cT3 substage were evaluated from baseline MRI. The cutoff of DMRF was determined by disease progression. Multivariate cox regression was used to test the prognostic values of baseline variables.

Results

A total of 804 patients were included, of which 226 (28.1%) developed progression. A DMRF cutoff of 7 mm was chosen. DMRF category, the clock position of the deepest position of tumor invasion (CDTI) and extramural venous invasion (EMVI) were independent predictors for disease progression, and hazard ratios (HRs) were 0.26 [95% confidence interval (95% CI), 0.13−0.56], 1.88 (95% CI, 1.33−2.65) and 1.57 (95% CI, 1.13−2.18), respectively. cT3 substage was not a predictor for disease progression.

Conclusions

The measurement of DMRF value on baseline MRI can better distinguish cT3 rectal cancer prognosis rather than cT3 substage, and was recommended in clinical evaluation.

Keywords: Rectal cancer, T3 stage, substage, distance to mesorectal fascia, magnetic resonance imaging

Introduction

China is facing the increasing incidence and mortality of colorectal cancer, accompanied by a heavy socioeconomic burden (1-3). The 5-year survival rate of patients with cT3 rectal cancer is different, from 30% to 80%, which suggests that further stratification is needed before the next treatment (4). It is a key challenge for individualized medicine to select high-risk cT3 patients who can really benefit from neoadjuvant chemoradiotherapy (NCRT) and low-risk T3 patients who do not need NCRT for direct surgery.

Many studies have proposed that extramural depth (EMD) of tumor invasion should be used for T3 stage stratification (5-11), because EMD has been proved to be an independent predictor of local recurrence of T3 stage rectal cancer (5-7,12-14). At present, the most commonly used criteria include Union for International Cancer Control (UICC) (T3a, EMD≤1 mm; T3b, 1<EMD≤5 mm; T3c, 5<EMD≤15 mm; T3d, EMD>15 mm) and Radiological Society of North America (RSNA) standards (T3a, EMD≤5 mm; T3b, 5<EMD≤10 mm; T3c, EMD>10 mm) (15-17).

As well as we know, the EMD cutoff value is derived from pathological research, but there are obvious differences betweenin vitro and in vivo images, and the measurement discrepancy can be up to 7 mm (18), which leads to excessive T3 substage on baseline magnetic resonance imaging (MRI) evaluation (19) and poor reproducibility of EMD measurement (20) especially for T3a (EMD≤1 mm) in UICC standard (21); The data of UICC and RSNA criteria are from western population which BMI is relatively high, for Chinese people with relatively low BMI, it is unknown how effective T3 substage is based on EMD measurement. In our clinical practice, we also found that the intestinal wall tumor located often cannot be accurately judged, so the measurement of the invasion distance outside the tumor intestinal wall only relies on supposition; T3 substage based on EMD can be affected by the tumor’s location. If the tumor located in the lower rectum or in the anterior wall of the rectum, the surrounding mesorectum is definitely thin, and as long as the tumor does not invade adjacent organs, its T3 substage will always less than T3c/d. Are there any other simple and reproducible indicators that can be used to stratify T3 rectal cancer patients? In our daily clinical work, we found that the distance between the deepest tumor invasion site and the mesorectal fascia (DMRF) was easy to measure, and was not limited by the mesorectum thickness. Therefore, we designed this multicenter retrospective study to determine whether DMRF can be used to stratify T3 patients, and to determine the feasibility of DMRF in practice by comparing with T3 substage.

Materials and methods

Study design and participants

It was a retrospective, multicenter, cohort study. The protocol was approved by the Institutional Review Board of Peking University Cancer Hospital & Institute, and patient informed consent was waived.

Biopsy-proven rectal adenocarcinoma patients with cT3 stage determined by pre-treatment MRI, who underwent NCRT followed by total mesorectal excision (TME) were consecutively included from four centers (The Sixth Affiliated Hospital, Sun Yat-Sen University; Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College; Liaoning Province Cancer Hospital & Institute; Peking University Cancer Hospital & Institute.) during the period from January 2013 to September 2014. Patient were excluded if conditions as: 1) history or concurrent of other malignancies; 2) failure to complete NCRT; 3) insufficient MR image quality for measurements; 4) mucinous adenocarcinoma, or lack of pathological results after TME; or 5) lost to follow-up after surgery.

Finally, 804 patients were included in analysis (Figure 1 , Table 1 ), with an average age of 55.4±10.9 years. There were 537 males and 267 females, and 552 patients (from The Sixth Affiliated Hospital, Sun Yat-Sen University; Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College; Liaoning Province Cancer Hospital & Institute) and 252 patients (Peking University Cancer Hospital & Institute) were assigned into training cohort and independent validation cohort, respectively.

Figure 1.

Figure 1

Flow chart of patient enrollment. NCRT, neoadjuvant chemoradiotherapy; MRI, magnetic resonance imaging.

Table 1. Patient and tumor characteristics.

Characteristics n (%) P
Training cohort (N=552) Validation cohort (N=252)
NCRT, neoadjuvant chemoradiotherapy; MRI, magnetic resonance imaging; EMVI, extramural venous invasion; CEA, carcinoma embryonic antigen; DTA, distance from inferior part of tumor to anal verge; DMRF, distance between the deepest tumor invasion and mesorectal fascia.
Centers
The Sixth Affiliated Hospital of Sun Yat-Sen University 226 (40.9)
Cancer Hospital Chinese Academy of Medical Sciences 175 (31.7)
Liaoning Province Cancer Hospital & Institute 151 (27.4)
Peking University Cancer Hospital 252 (100)
Age ( Inline graphic ) (year) 55.5±11.5 55.2±11.7 0.918
Sex 0.665
Male 366 (66.3) 171 (67.9)
Female 186 (33.7) 81 (32.1)
Pre-NCRT cT stage 0.132
cT3a/b 288 (52.2) 133 (52.8)
cT3c 211 (38.2) 84 (33.3)
cT3d 53 (9.6) 35 (13.9)
Pre-NCRT cN stage 0.835
cN0 103 (18.7) 51 (20.2)
cN1 118 (21.3) 55 (21.8)
cN2 331 (60.0) 146 (58.0)
Pre-NCRT MRI EMVI 0.901
Negative 377 (68.3) 171 (67.8)
Positive 175 (31.7) 81 (32.2)
Pre-NCRT CEA (ng/mL) ( Inline graphic ) 8.1±18.0 8.2±18.6 0.977
DTA (cm) 0.564
Upper (>10) 18 (3.3) 12 (4.8)
Middle (6−10) 252 (45.7) 111 (44.0)
Lower (0−5) 282 (51.1) 129 (51.2)
Operation 0.965
Miles 279 (50.6) 128 (50.8)
Dixon 253 (45.8) 114 (45.2)
Hartmann 20 (3.6) 10 (4.0)
Adjuvant chemotherapy 0.817
No 294 (53.3) 132 (52.4)
Yes 258 (46.7) 120 (47.6)
ypT stage 0.975
ypT0 112 (20.3) 49 (19.4)
ypT1 24 (4.3) 12 (4.8)
ypT2 154 (27.9) 73 (29.0)
ypT3 262 (47.5) 118 (46.8)
ypN stage 0.781
ypN0 401 (72.6) 186 (73.8)
ypN1 107 (19.4) 44 (17.5)
ypN2 44 (8.0) 22 (8.7)
DMRF (mm) 0.624
<7 484 (87.7) 224 (88.9)
≥7 68 (12.3) 28 (11.1)

MRI analysis

All patients received pre-treatment MR scanning, which was performed within one week before NCRT. Axial, axial oblique, sagittal T2-weighted images, axial T1-weighted images and diffusion-weighted images were included in the examination on 1.5T or 3.0T MR. In order to reduce intestinal peristalsis, the patient was given 20 mg anisodamine intramuscularly 30 min before the scan without any bowel preparation.

MRI scanner and scanning parameters of each unit can be seen in the attachment (Supplementary Table S1 ). All MRI images were retrieved from the picture archiving and communication system for further image indices evaluation and measurement. We measured parameters on MRI, including DMRF (Figure 2 ), the distance from the inferior part of the tumor to the anal verge (DTA), the clock position of the deepest position of tumor invasion located at the intestine wall (CDTI), EMD of tumor invasion, and different time clock positions (Supplementary Figure S1 ). The subjective MRI evaluation indices include tumor stages (mrT stages), lymph node metastasis (mrN status), extramural venous invasion (mrEMVI) status (Supplementary Table S2 ).

Table S1. MRI scanners parameters used in four centers.

Parameters Sag T2WI Ax T2WI Oblique Ax T2WI DWI (b=1,000 s/mm2) Ax T1WI
TR, repetition time; TE, echo time; FOV, filed of view; NEX, number of excitation; T2WI, T2 weighted imaging; DWI, diffusion weighted imaging; T1WI, T1 weighted imaging; Center 1, The Sixth Affiliated Hospital, Sun Yat-Sen University; Center 2, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College; Center 3, Liaoning Province Cancer Hospital & Institute; Center 4, Peking University Cancer Hospital & Institute.
Center 1
 TR (s) 3,500 5,694 5,000 2,800 560
 TE (s) 110 110 110 70 9.1
 FOV (cm) 27 18 18 34 22
 Matrix 288×288 288×256 288×256 128×128 288×256
 Bandwidth 83.3 83.3 83.3 83.3 83.3
 NEX 2 4 4 6 2
 Thickness/Gap 4.0/0.4 3.0/0.3 3.0/0.3 4.0/1.0 3.0/0.3
Center 2
 TR (s) 4,800 5,700 4,800 2,400 5,600
 TE (s) 115 85 115 60 Min
 FOV (cm) 24 34 16 34 34
 Matrix 256×320 288×224 256×320 160×160 288×224
 Bandwidth 41 31 41 250 41
 NEX 4 2 4 4 2
 Thickness/Gap 4.0/0.4 5.0/0.5 3.0/0.0 5.0/0.5 5.0/0.5
Center 3
 TR (s) 2,591 4,294 4,310 4,550 419
 TE (s) 125 108 120 92.6 13.5
 FOV (cm) 28 24 28 40 24
 Matrix 288×224 288×256 320×224 192×192 320×224
 Bandwidth 31.25 31.25 31.25 250 31.25
 NEX 4 4 4 4 2
 Thickness/Gap 3.0/0.5 3.0/0.5 4.0/0.5 3.0/0.5 3.0/0.5
Center 4
 TR (s) 4,328 3,000 3,000 2,750 2.9
 TE (s) 70 80 80 53 1.3
 FOV (cm) 18 20 18 37×29 37×29
 Matrix 300×266 300×223 300×223 124×151 352×366
 Bandwidths 60.1 48.1 48.1 5.4 95.7
 NEX 3 4 3 2 2
 Thickness/Gap 3.0/1.0 3.0/0 3.0/0 5.5/0.5 6.0/1.5

Figure 2.

Figure 2

MRI measurement of distance between the deepest tumor invasion and mesorectal fascia (DMRF) and extramural depths (EMD) of tumor invasion. Pink solid line represents the deepest tumor invasion. Yellow and blue dotted lines represent the imaginary line of the muscularis propria layer, and thus yellow and blue double arrowheads represent different EMDs for same tumor. The length of red line represents the DMRF value.

Figure S1.

Figure S1

Time o’clock position of tumor located at the intestinal wall. (A) Time clock; (B) Tumor located at the 6−9 o’clock position in the rectal wall.

Table S2. MRI feature measurement.

Features Measurement Classification
MRI, magnetic resonance imaging; EMVI, extramural venous invasion.
mrT stage The identification and staging of rectal cancers at MRI is largely based on differences in T2 signal intensity between the tumor, submucosa, muscular layer, and mesorectum on short-axial-T2 weighted images. T3: Tumor invades through muscularis propria into pericolorectal tissues.
mrN status Nodes with irregular borders, mixed signal intensity, or both are suspicious, uniform nodes smaller than 10 mm with homogeneous signal intensity are not suspicious. mrN(+): presence of suspicious nodes; mrN(−): no suspicious nodes.
mrEMVI Extramural venous invasion, including tumor, positive lymph node, and tumor deposit. Positive: intermediate signal intensity apparent within vessels, although the contour and calibre of these vessels is only slightly expanded; obvious irregular vessel contour or nodular expansion of vessel by definite tumour signal.
Negative: pattern of tumor extension through the muscle coat is not nodular, and there are no vessels adjacent to areas of tumor penetration; minimal extramural stranding/nodular extension, but not in the vicinity of any vascular structure; stranding demonstrated in the vicinity of extramural vessels, but these vessels are of normal calibre, and there is no definite tumor signal within the vessel.

Two experienced radiologists (XYZ and HMZ, with over 10 years’ experience in pelvic tumors imaging) independently conducted measurements. For classification variables, a third experienced radiologist (YSS, with over 20 years’ experience in pelvic tumors imaging) was introduced for arbitration; for continuous variables, the means were used for following analysis.

Inter-observer reproducibility was evaluated for the measurements of DMRF and EMD. Intra-class coefficient (ICC) was used for assessing inter-rater agreement, 0−0.20, 0.21−0.40, 0.41−0.60, 0.61−0.80 and 0.81−1.00 indicated poor, fair, moderate, substantial or excellent agreement, respectively. Excellent agreement was obtained for the measurements of DMRF (ICC=0.94) and substantial agreement was obtained for the measurements of EMD (ICC=0.77).

Treatment protocol

All participants received NACT. Three NACT regimens were used in 4 centers. Regimen 1: Radiation therapy regimen: 45−50.4 Gy/25−28 fractions/5−5.5 weeks; Concurrent chemotherapy regimen: Capecitabine 800 mg/m2 orally twice per day. Regimen 2: Radiation therapy regimen: 50 Gy/25 fractions/5 weeks; Concurrent chemotherapy regimen: Capecitabine 800 mg/m2 orally twice per day. Regimen 3: Radiation therapy regimen: 45−50.4 Gy/22−28 fractions/5−6 weeks; Concurrent chemotherapy regimen: Capecitabine 825 mg/m2 orally twice per day or 5 Fluorouracil 225 mg/m2 intervenous drop daily. All participants received R0 resection after NACT. Pathology tumor staging was evaluated according to the American Joint Committee on Cancer system.

Follow-up

Participants were followed up after the operation at every 3 months for 2 years, then every 6 months for 5 years, finally once a year since the 6th year. The follow-up includes physical examination, routine blood test and the imaging examinations consisting of the chest, abdomen and pelvis. The date of surgery, last follow-up, death and cause of death, distant or local recurrence and site of recurrence were recorded. Patients were defined as suffering disease progression if death, distant metastasis or local recurrence occurred. Patients without disease progression were censored at the last follow-up.

Statistical analysis

Continuous variables were described as Inline graphic , categorical variables were described as numbers and percentages. Chi-square test or student’st test was used for comparisons of categorical and continuous variables between the training cohort and the independent validation cohort. Receiver operating characteristic curve was conducted for selecting the cutoff for DMRF using the maximum Youden’s method. Univariate and multivariate cox regression was used to test the prognostic values of baseline variables, hazard ratios (HRs) with 95% confidence interval (95% CI) were obtained. The time-dependent receiver operating characteristic (ROC) curves for censored survival data were performed, and the area under the curve (AUC) was calculated for evaluating the capability of multivariate cox model in predicting the 3-year’s disease progression. The model was also presented as a nomogram. Kaplan-Meier method was used to compare survival curves between DMRF groups or T3 substages. Calculations were performed using the IBM SPSS (Version 22.0; IBM Corp., New York, USA) and R package 3.6.2 (R Foundation for Statistical Computing, Vienna, Austria). A two-sided P<0.05 was considered as statistically significant.

Results

Patients

Patient and tumor characteristics are listed in Table 1 . All patient and tumor characteristics were comparable between training and validation cohort. Median follow-up duration after surgery were 47 (95% CI, 45−49) months and 47 (95% CI, 44−50) months for training and validation cohort, respectively. In the training cohort, 159 (28.8%) patients suffered disease progression, including 82 (14.9%) patients suffering death, 125 (22.6%) patients suffering distant metastasis and 16 (2.9%) patients suffering local recurrence. In the independent validation cohort, 67 (26.6%) patients suffered disease progression, including 37 (14.7%) patients suffering death, 59 (23.4%) patients suffering distant metastasis and 8 (3.2%) patients suffering local recurrence.

Survival analysis of baseline variables according to disease progression in training cohort

A cutoff of 7 mm was selected by ROC analysis for DMRF according to disease progression. In univariate cox analysis, DMRF category was significantly associated with disease progression (HR=0.26; 95% CI, 0.12−0.54; P<0.001), as well as baseline MRI EMVI (HR=1.50; 95% CI, 1.09−2.08; P=0.015) and CDTI (HR=1.94; 95% CI, 1.38−2.74; P<0.001). In contrast, cT3 stage was not found significantly related with disease progression (P=0.055) (Table 2 , Figure 3 ).

Table 2. Survival analysis of baseline variables according to disease progression in training cohort.

Variables Univariate cox analysis Multivariate cox analysis
HR (95% CI) P HR (95% CI) P
HR, hazard ratio; 95% CI, 95% confidence interval; NCRT, neoadjuvant chemoradiotherapy; CEA, carcinoma embryonic antigen; DTA, distance from inferior part of tumor to anal verge; CDTI, clock position of the deepest position of tumor invasion located at intestine wall; MRI, magnetic resonance imaging; EMVI, extramural venous invasion; DMRF, distance between the deepest tumor invasion and mesorectal fascia.
Age (year) 0.723
<56 1
≥56 0.94 (0.70−1.29)
Sex 0.292
Male 1
Female 0.83 (0.59−1.17)
Pre-NCRT cN stage 0.497
cN0 1
cN1−2 1.08 (0.88−1.32)
Pre-NCRT CEA (ng/mL) 0.247
<5 1
≥5 1.58 (0.72−3.48)
DTA (cm) 0.107
Lower (0−5) 1
Middle (6−10) 0.75 (0.54−1.03) 0.077
Upper (>10) 1.34 (0.65−2.77) 0.429
CDTI <0.001 <0.001
Lateral (left/right) 1 1
Posterior/anterior 1.94 (1.38−2.74) 1.88 (1.33−2.65)
MRI EMVI 0.015 0.007
Negative 1 1
Positive 1.50 (1.09−2.08) 1.57 (1.13−2.18)
cT3 substage 0.055
a/b 1
c/d 1.51 (0.88−2.59)
DMRF category (mm) <0.001 0.001
<7 1 1
≥7 0.26 (0.12−0.54) 0.26 (0.13−0.56)

Figure 3.

Figure 3

Kaplan-Meier curves for pre-NCRT DMRF category and cT3 stage according to disease progression in training cohort and independent validation cohort. (A) DMRF (<7 mm, ≥7 mm) according to disease progression in training cohort (P<0.001); (B) cT3 substage (T3a/b, T3c/d) according to disease progression in training cohort (P=0.055); (C) DMRF (<7 mm, ≥7 mm) according to disease progression in independent validation cohort (P=0.020); and (D) cT3 substage (T3a/b, T3c/d) according to disease progression in independent validation cohort (P=0.279). NCRT, neoadjuvant chemoradiotherapy; DMRF, distance between the deepest tumor invasion and mesorectal fascia.

In multivariate cox analysis, DMRF category, CDTI and baseline MRI EMVI were independent predictors for disease progression, and HRs were 0.26 (95% CI, 0.13−0.56), 1.88 (95% CI, 1.33−2.65) and 1.57 (95% CI, 1.13−2.18), respectively (Table 2 ). The AUC yielded by the time-dependent ROC was 0.623 (95% CI, 0.502−0.744) for predicting 3-year’s disease progression. The nomogram for the multivariate cox model is in Figure 4 .

Figure 4.

Figure 4

Time-dependent ROC curves of multivariate cox model in training cohort (A) and independent validation cohort (B), and nomogram for multivariate cox model (C). ROC, receiver operating characteristic; DMRF, distance between the deepest tumor invasion and mesorectal fascia; CDTI, clock position of the deepest position of tumor invasion located at the intestine wall; EMVI, extramural venous invasion.

Validation of DMRF category in independent validation cohort

In the independent validation cohort, DMRF category can also distinguish disease progression groups (P=0.020) (Figure 3C ); the AUC yielded by the time-dependent ROC was 0.734 (95% CI, 0.676−0.791) for predicting 3-year’s disease progression (Figure 4 ).

Discussion

Our results showed that DMRF measurement can stratify cT3 rectal cancer well compared with EMD, which is easy to measure and has good consistency. The further the distance between the tumor and MRF, the better the prognosis (cutoff =7 mm). We noticed that cT3 stage rectal cancer patients had a wide range of 5-year survival rate, but still receive uniform NCRT (4,22-25), which leads to the need for prognostic stratification for these patients. Although many studies proposed that EMD of tumor invasion should be used for T3 stage stratification, in our study, we did not observe a significant association between EMD-based T3 substage and prognosis. It indicates that the existing EMD-based substage may not accurately reflect T3 stage rectal cancer prognosis. One possible reason may be that EMD is limited by the tumor’s location (high or low rectal cancer), actually by the mesorectum thickness. A clinical MRI study of 183 Chinese reported that the mean mesorectum thickness was found to be <12 mm, suggesting that the existing EMD-based T3 substage including 15 mm may not suitable for Chinese population because of relatively thin mesorectum thickness ( 26). In this study, 55.6% (160/288) of T3a/b tumors were located at the lower rectum, while only 46.2% (122/264) of T3c/d tumors were located at the lower rectum.

Another reason may be that the inter-observer agreement for EMD-based T3 substage is not satisfactory due to the difficulty in measurements. The result was similar with the study from Dr. Amandeep Pooni and his colleagues (20). In their study, Kappa score for EMD were 0.37 (95% CI, 0.16−0.82), and inter-rater reliability was the highest for distance to mesorectal fascia.

Our study showed that cT3 rectal cancer patients could be divided into high risk and low risk based on different DMRF value (7 mm). The DMRF value is relatively easy to measure, because T2WI can show the deepest depth of tumor invasion (same signal with tumor on T2WI) and MRF (low signal on T2WI) very clearly. The consistency of DMRF measurement is better than that of EMD.

Thus, we consider DMRF may be a more reliable, simple, and specific criterion for systematic risk and survival stratification. It should be considered as an important MRI criterion for preoperative treatment decision making in the real-world setting (20). In this study, we did not analyze the association between MRF status and prognosis, considering the close relationship between MRF status and DMRF. In terms of measurement principle, positive MRF status is only a special DMRF state (≤1 mm). The advantages of this study are as follows: 1) The applicability of EMD-based T3 substage criteria was verified for the first time by using this multi-center dataset in China, we did not observe a significant association between EMD-based T3 substage and prognosis; and 2) Excellent agreement was obtained for DMRF dichotomy. The accuracy and reliability of DMRF was much better than EMD-based T3 substage. The prognostic value of DMRF with its cutoff was validated in a multicenter, independent cohort, which serves as a strong evidence for its extrapolation capability.

In multivariate cox analysis, CDTI (the clock position of the deepest position of tumor invasion) and baseline MRI EMVI were independent predictors for disease progression, except DMRF category. The nomogram for the multivariate cox model was constructed for clinic use. This study also had several limitations: First, the sample was retrospective, although from multicenter dataset. Second, the results of this study showed the potential value of DMRF in T3 rectal cancer stratification. Our results showed that DMRF, CDTI, and EMVI were related to prognosis, but the efficiency of the 3-year-PFS model was still not satisfactory only by using these three factors. We still need to explore other possible influencing factors, such as molecular and/or genetic predictors, and to incorporate DMRF with these factors for stratification well in rectal cancer patients.

Conclusions

This was the first study to define DMRF’s value, which can stratify cT3 rectal cancers with different prognosis. DMRF, as a good predictor for prognosis and of excellent inter-observer reproducibility, is thus recommended to be measured on baseline MRI and considered for managing individualized treatment strategy for T3 rectal cancer patients.

Footnote

Conflicts of Interest: The authors have no conflicts of interest to declare.

Acknowledgements

This study was supported by the National Natural Science Foundation of China (No. 82071881, 91959116, 81971584); National Key R&D Program of China (No. 2019YFC0117705); Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support (No. ZYLX201803); Beijing Hospitals Authority Ascent Plan (No. DFL20191103); Capital’s Funds for Health Improvement and Research (No. 2020-1-2151); and Beijing Natural Science Foundation (No. Z200015, Z180001).

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