Journal List > J Korean Soc Radiol > v.70(2) > 1087356

Park, Kim, Lee, Lee, Lee, Kang, Kim, Kim, Kim, and Lee: Diagnostic Accuracy of Computed Tomography and Magnetic Resonance Imaging Obtained after Neoadjuvant Chemoradiotherapy in Predicting the Local Tumor Stage and Circumferential Resection Margin Status of Rectal Cancer

Abstract

Purpose

To measure the diagnostic accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) obtained after neoadjuvant chemoradiotherapy (CRT) in patients with rectal cancer for a prediction of the local tumor stage and circumferential resection margin (CRM).

Materials and Methods

Two independent radiologists reviewed CT and MRI obtained after neoadjuvant CRT. The accuracy of the local tumor staging and the diagnostic performance for the prediction of CRM involvement were calculated. The agreement between the measurements of the distance to potential CRM on both imaging modalities and the histopathology findings was assessed using Bland-Altman plots.

Results

57 patients (mean age, 59.2 years; 24 females) were included. The accuracy of T and N staging were 43.9% (95% confidence interval, 30.8-57.7%) and 77.2% (64.2-87.3%) on CT and 63.2% (49.4-75.6%) and 77.2% (64.2-87.3%) on MRI for Observer 1. The accuracy of T and N staging were 54.4% (40.7-67.7%) and 77.2% (64.2-87.3%) on CT and 68.4% (54.7-80.1%) and 80.7% (68.1-90.0%) on MRI for Observer 2. Sensitivity and specificity on CRM involvement were 83.3% (43.7-97.0%) and 88.2% (76.6-94.5%) on CT and 100% (61.0-100%) and 90.2% (79.0-95.7%) on MRI for Observer 1. Sensitivity and specificity on CRM involvement were 66.7% (30.0-90.3%) and 88.2% (76.7-94.5%) on CT and 100% (61.0-100%) and 90.2% (79.0-95.7%) on MRI for Observer 2. Bland-Altman plots showed wide discrepancies between measurements of the distance to CRM on each CT and MRI and those on histopathology findings.

Conclusion

CT and MRI showed limited performance in predicting the local tumor staging and CRM involvement in patients with neoadjuvant CRT although MRI tended to show a better performance than CT

INTRODUCTION

For the past twenty years, there have been significant improvements in the treatment of rectal cancer to overcome the high loco-regional recurrence rate. With the recognition of the fact that the incomplete removal of the primary tumor is a major cause of local recurrence, the total mesorectal excision (TME) has been recommended as the standard surgical practice for rectal cancer. It indicates the resection of the tumor-bearing rectum as well as the resection of the surrounding mesorectum by dissection along the investing mesorectal fascia (1, 2). Because the tumor involvement of the circumferential resection margin (CRM) is known to be strongly associated with the high local recurrence rate (1), the preoperative prediction of CRM involvement is important not only to decide the treatment strategy but also to predict the prognosis. With the evidence of severe randomized controlled trials (3, 4), the neoadjuvant chemoradiotherapy (CRT) has been accepted also as standard treatment in cases of locally advanced rectal cancer to ensure the eradication of extramural infiltrating tumors and a clear CRM.
Magnetic resonance imaging (MRI) has been accepted as a key imaging modality for the initial evaluation of rectal cancer before neoadjuvant CRT. Several studies have been published to assess a diagnostic performance of MRI in patients who underwent neoadjuvant CRT (5-10). Although MRI has the superiority regarding the tissue contrast, CT has several advantages over MRI in terms of quick whole-body reviews for the distant metastasis as well as a lower cost factor and a wider accessibility. However, there is still a dearth of knowledge about the CT in terms of local tumor evaluation especially on the CRM.
In this study, we aimed to measure the diagnostic accuracy of CT and MRI which were obtained after neoadjuvant CRT in the prediction of the local tumor stage and the CRM status of rectal cancer by using histopathology as the standard reference.

MATERIALS AND METHODS

Study Design and Setting

This retrospective study was carried out for patients who initially had a tumor stage T3 or greater or N positive rectal cancer and underwent a neoadjuvant CRT with subsequent TME. The study subjects were recruited from a 900-bed tertiary hospital between April 2004 and March 2007. The Institutional Review Board of our institution approved this study, and the need for an informed consent form was waived.

Patient Selection

Inclusion criteria were as follows: 1) rectal cancer (≥ cT3 or lymph node involvement) at initial presentation; 2) neoadjuvant CRT; 3) available CT and MRI obtained after neoadjuvant CRT; 4) TME with complete pathological evaluation. The electronic database in the surgery department was searched to identify consecutive patients who underwent surgery for rectal cancer (n = 339). After the review of medical records 269 patients who did not undergo neoadjuvant CRT were excluded. Other patients were excluded because one patient underwent a local excision and 12 patients had no MRI after neoadjuvant CRT.

Clinical Staging, Neoadjuvant CRT and Surgery

Digital rectal examinations, abdominopelvic CT and pelvic MRI with or without endorectal ultrasonography were performed for the clinical staging. Patients with rectal cancer and with tumors located within 10 cm of the anal verge were eligible for an inclusion in the neoadjuvant CRT. Patients with a previous or secondary malignancy, with pregnancy a previous large bowel surgery, chemotherapy or with radiotherapy of the pelvis were excluded for the neoadjuvant CRT. Radiation of 45 Gy/25 fractions was delivered to the pelvis, followed by a 5.4 Gy/3 fractions boost to the primary tumor over 6 weeks using linear accelerators with energy of 6 and 15 MV. During the radiation therapy, chemotherapy was performed with one of the following chemotherapy regimens: 1) continuous capecitabine (825 mg/m2, two times per day) during the radiation therapy course for 6 weeks (n = 41) or 2) an intravenous bolus injection of 5-fluorouracil (390 mg/m2) plus leucovorin (20 mg/m2) for 3 days in the first and fifth week of radiation (n = 160). About 6 weeks after completion of the neoadjuvant CRT all patients underwent TME, including low anterior resection (n = 54) and abdominoperineal resection (n = 3).

Imaging Schedule

Both, the contrast-enhanced CT and the MRI were performed after the neoadjuvant CRT. The imaging studies were generally scheduled four weeks after the completion of the neoadjuvant CRT to evaluate tumor response and treatment related complications. The surgery was performed two weeks after the imaging studies.

Imaging Technique

All contrast-enhanced abdominopelvic CT examinations were performed using 16-detector-row CT scanners (Brilliance; Philips Medical Systems, Cleveland, OH, USA). Intravenous nonionic contrast material (2 mL/kg; iopromide, Ultravist 370; Schering, Berlin, Germany) was administered at a rate of 3 mL/s. Bolus tracking software was used to trigger scanning 60 seconds after the aortic enhancement reached a 150 Hounsfield unit threshold. Raw projection data were obtained using the following scanning parameters: scan range, from the diaphragm to upper thigh; detector collimation, 1.5 mm; gantry rotation time, 0.5 seconds; tube potential, 120 kVp; and pitch, 1.17 to 1.25. Effective mAs ranged between 124 and 185 using an automatic tube current modulation technique (Dose-Right, Philips Medical Systems). From the raw data, transverse images were reconstructed: 4 mm thick at 3 mm increments with matrix size of 512 × 512 pixels and field of view of 260-369 mm.
MRI was performed with a 1.5-T system (GyroscanIntera; Philips Medical Systems, Amsterdam, the Netherlands) by using a pelvic phased-array coil. Two-dimensional T1-weighted and T2-weighted fast spin-echo sequences were performed. All sequences were performed in the transverse, coronal and sagittal planes. The transverse planes were angled perpendicular to the long axis of the tumor by using the sagittal plane (11). The imaging parameters for the T1-weighted sequences were a 15 cm field of view, a 4 mm section thickness, a 1 mm intersection gap, 500-582/9.5-13 (repetition time ms/echo time, msec), a 240 × 512 matrix, echo-train length of 4, 3 signals acquired, 90° flip angle, and no fat saturation. The imaging parameters for the T2-weighted sequences were a 15 cm field of view, a 4 mm section thickness, a 1 mm intersection gap, 4200-6069/100-120 (repetition time ms/echo time, msec), a 224 × 512 matrix, echo-train length of 16, 3-4 signals acquired, 90° flip angle, and no fat saturation.

Image Analysis

Two board-certified radiologists (Y.H.K. and K.H.L. with 11 and 10 years of experience in gastrointestinal imaging including pelvic MRI, respectively) were recruited for the independent review of CT and MRI obtained after neoadjuvant CRT. They were aware that the patients had T3 or greater or N positive rectal cancer and that the patients received neoadjuvant CRT. The radiologist were blind to the clinical and surgical findings as well as to the histopathology results. All interpretations were conducted on a diagnostic workstation (DS3000, Impax version 4.5; Agfa HealthCare, Mortsel, Belgium) and flat-panel monochrome 3-megapixel monitors (ME315; Totoku, Tokyo, Japan).
Two reading sessions for CT and MRI were held with an interval of four weeks. During the interpretation, CT and MRI obtained before neoadjuvant CRT were also reviewed to refer the initial tumor extent, respectively. They were requested to record T and N stages using the TNM system (12). Because the differentiation between T1 and T2 tumors is known to be virtually impossible on both CT and MRI (13), they were classified into T1/T2 group. A regional node was considered positive if the maximum short axis length was more than 5 mm (14). The distance between the tumor and the potential CRM was measured as the shortest distance (in millimeters) from the outermost part of the tumor to the adjacent mesorectal fascia at the level of the maximum depth of penetration through the rectal wall on transverse images (Fig. 1). The mesorectal fasicia was defined as a linear structure surrounding the mesorectum that shows soft tissue-density on CT and hypo-intensity on T2-weighted MRI. In cases of low rectal cancer where the mesorectal fascia didn't extend, the distance was measured from the tumor to the leavator ani muscle. For MRI, the measurement was conducted on T2-weighted images (Fig. 2). Only the solid portion of the tumor was considered to be a tumor margin, but the fine spiculate border was not applied in the measurement. When a local tumor stage was considered to be T1/T2, the shortest distance to the potential CRM was measured from the bowel wall at the level and site of the tumor. In cases of the tumor invading the mesorectal fascia and leavator ani muscle or other adjacent organs, the distance was zero. When an enlarged lymph node or extramural tumor deposit was located closer to the potential CRM than to the primary tumor, this was used to measure the distance to the CRM (15, 16).

Reference Standard

Histopathologic evaluation of the surgical specimen was performed by one gastrointestinal pathologist (H.S.L. with nine years of experience in gastrointestinal pathology) using the method of Quirke et al. (17). After surgery, the specimens were inked to the circumferential resection plane and then fixed in formalin for 24 hours. During the histopathology examination, the local tumor stage was evaluated according to TNM system proposed by the American Joint Committee on Cancer Staging 6th edition (12). The shortest distance between the outmost margin of the tumor and CRM was measured also (17). The histopathology results for the local tumor stage and the distance to CRM served as the reference standard.

Statistical Analysis

The accuracy of T and N stage on CT and MRI were obtained and compared with each other using the McNemar's test. Cases of underestimation and overestimation were counted. The inter-observer agreement for T and N stages was obtained on CT and MRI by weighted kappa statistics.
Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of MRI and CT for the prediction of CRM involvement were obtained and compared with each other using McNemar's test and chi-square test. Cases with the distance to CRM less than or equal to 2 mm were categorized as the involved CRM in both the radiologic and histopathology examinations (18). Inter-observer agreements in predicting the involvement of CRM on both CT and MRI were assessed using weighted kappa statistics. The agreement between measurements for the distance to CRM on both imaging modalities and those on histopathology was assessed with Bland-Altman plots.
In the interpretation of agreement statistics, degrees of agreement were categorized as follows: κ of 0-0.2, slight agreement; κ of 0.2-0.4, fair agreement; κ of 0.4-0.6, moderate agreement; κ of 0.6-0.8, good agreement; and κ of 0.8-1.0, very good agreement (19). p values less than 0.05 were considered statistically significant. All statistical analyses were performed using MedCalc, version 11.6.1 (MedCalc Software, Mariakerke, Belgium).

RESULTS

The study included 57 patients (mean age, 59.2 years; age range, 35-82 years). There were 33 male (mean age, 59.6 years; age range 41-82 years) and 24 female patients (mean age, 58.7 years; age range, 35-78 years). All patients underwent 5-fluorouracil based chemotherapy (either oral or intravenous) and 54 patients underwent low anterior resections. 52 patients had cT3 cancers, and 35 patients had malignant lymph nodes. Twenty patients had an involved CRM on the MRI which was obtained before the neoadjuvant CRT. Post-CRT pathologic staging and CRM status are summarized in Table 1. The median time interval between the end of neoadjuvant CRT and imaging studies was 30 days [interquartile range (IQR), 29-33 days] for both CT and MRI, and the median time interval between the imaging studies and surgery was 14 days (IQR, 13-19 days) for both CT and MRI.

Local Tumor Stage

Accuracies of T and N stages on CT and MRI after neoadjuvant CRT were shown on Table 2. For T stage, the accuracy of MRI was significantly higher than that of CT in both observers (63.2% vs. 43.9%, p = 0.003, for Observer 1; 68.4% vs. 54.4%, p = 0.008 for Observer 2). On both CT and MRI, there was a tendency to overestimate the T stage for both observers. For N stage, the difference of accuracy was not significant between CT and MRI in both observers (77.2% vs. 77.2%, p = 1.00 for Observer 1; 77.2% vs. 80.7%, p = 0.50 for Observer 2). On both CT and MRI, there was a tendency to underestimate the N stage for both observers.
Inter-observer agreements for T stage were good on both CT [weighted κ: 0.69, 95% confidence interval (CI): 0.49 to 0.89] and MRI (weighted κ: 0.74, 95% CI: 0.57 to 0.91). Inter-observer agreements for N stage were very good on both CT (weighted κ: 0.88, 95% CI: 0.72 to 1.0) and MRI (weighted κ: 0.88, 95% CI: 0.72 to 1.0).

Prediction of CRM Status

An involved CRM was shown in the histopathology of six patients. Both observers identified the potential CRM on CT and MRI in all cases. Diagnostic performances of CT and MRI in predicting CRM involvement were summarized on Table 3. Although a statistically significant difference was not observed, MRI tended to show a better performance than CT. For Observer 1, there was one and zero false negative prediction for CRM involvement on CT and MRI, respectively and also six and five false positive predictions on CT and MRI, respectively. For Observer 2, there were two and zero false negative predictions on CT and MRI, respectively and also six and five false positive predictions on CT and MRI, respectively. The inter-observer agreement in the prediction of tumor involvement of CRM on CT was very good (weighted κ: 0.94, 95% CI: 0.83 to 1.0) and was coincident on MRI (weighted κ: 1.0, 95% CI: 1.0 to 1.0).
Four of the 57 patients with complete tumor regression were excluded from the analysis for the distance to CRM because it was not measurable on histopathology. The Bland-Altman plots showed wide discrepancies between the measurements of the distance to CRM on each CT and MRI and those on histopathology. For Observer 1, the mean difference between the distances measured on CT and histopathology was 1.1 mm (95% CI: 0.2 mm to 2.1 mm) and the limit of agreement was -5.5 mm (95% CI: -7.1 mm to -3.9 mm) to 7.7 (95% CI: 6.1 mm to 9.4 mm) (Fig. 3). For Observer 2, the mean difference between the distances measured on CT and histopathology was 2.2 mm (95% CI: 1.1 mm to 3.4 mm) and the limit of agreement was -6.1 mm (95% CI: -8.1 mm to -4.0 mm) to 10.5 (95% CI: 8.5 mm to 12.5 mm) (Fig. 4). For Observer 1, the mean difference between the distances measured on MRI and histopathology was 1.2 mm (95% CI: 0.5 mm to 1.9 mm) and the limit of agreement was -3.8 mm (95% CI: -5.0 mm to -2.6 mm) to 6.2 (95% CI: 5.0 mm to 7.4 mm) (Fig. 5). For Observer 2, the mean difference between the distances measured on MRI and histopathology was 1.6 mm (95% CI: 0.8 mm to 2.4 mm) and the limit of agreement was -4.2 mm (95% CI: -5.6 mm to -2.8 mm) to 7.3 (95% CI: 5.9 mm to 8.7 mm) (Fig. 6). The inter-observer agreements in measurements of distance to CRM on both CT and MRI were very good [intraclass correlation coefficient (ICC): 0.87, 95% CI: 0.77-0.93 on CT; ICC: 0.95, 95% CI: 0.91-0.97 on MRI].

DISCUSSION

In the present study, both CT and MRI showed a limited value in the prediction of T stage of rectal cancer after a neoadjuvant CRT although the post-CRT MRI showed a statistically significant superiority to the post-CRT CT. In both imaging studies there was a tendency to overestimate the T stage. These results were similar to or showed slightly higher accuracies than those of previous reports (6, 20). It is well known that post-CRT fibrosis and an inflammation within or around tumors can mimic tumor infiltration and may result in the overestimation of the primary tumor extent. Both observers presented one case of underestimation on MRI only. In this case the nodular extramural tumor invasion was misinterpreted as a perirectal lymph node enlargement. Both observers categorized the local tumor stage as T2N1 while it turned out to be T3N0 on pathologic examination.
In N staging, both CT and MRI showed moderate accuracy with a tendency of underestimation. Several previous studies proposed diagnostic criteria according to the morphologic characteristics including border, texture and shape of lymph nodes (21, 22). Lambregts et al. (23) reported an increased diagnostic performance in the prediction of nodal involvement when diffusion-weighted images were added to the evaluation. Nevertheless, a clear consensus has not been reached yet for the MRI interpretation criteria after neoadjuvant CRT (24). Dimensional criterion of 5 mm cut-off were used in this study as they were conventionally used in our institution and thought to be more objective and simple. Considering that a local excision based on a false negative diagnosis might be more harmful to patients than TME based on a false positive diagnosis, the results may suggest the need for the additional imaging criteria to the dimensional criterion.
While sensitivities, specificities and negative predictive values of both imaging studies were within acceptable ranges, positive predictive values were considerably low in the evaluation of CRM. The low positive predictive values might be attributed to the low prevalence of involved CRM in the present study. However, the low prevalence of involved CRM would also be expected in the clinical practice with the tumor regression from neoadjuvant CRT. Pomerri et al. (9) reported similar results in the diagnostic performances of CT and MRI after neoadjuvant CRT in predicting the CRM status. In their prospective observational study, they reported a higher diagnostic performance of MRI than of CT without a statistical significance and also considerable low positive predictive values which might also be affected by the low prevalence of CRM-positive cases.
Bland-Altman plots showed wide discrepancies between the measurements in CT and MRI and the measurements in histopathology. Both CT and MRI had a mild tendency to produce shorter measurements than the histopathology, which was more evident in cases of threatened CRM. It probably resulted from the overestimation of the tumor extent caused by post-CRT fibrosis and inflammation. In addition, considering that the perirectal tissue which constitutes mesorectum is mostly composed of relatively loose adipose tissue (25), the surgical specimen used in the histopathology measurements might be shrunken or stretched. The inherent discrepancies between in-vivo and ex-vivo states of the specimen as well as the tumor responses and the tissue reactions after neoadjuvant CRT made it virtually impossible to substitute CT and MRI for histopathology in the distance measurement between tumor and CRM. Another possible reason for these discrepancies may be the time interval between imaging study and surgery. The response to neoadjuvant CRT in patients with rectal cancer is time-dependent and a complete tumor regression may last several months (26, 27). So the discrepancies might be influenced due to this ongoing process of tumor regression. However, this influence seems not to be substantial based on the findings of Bland-Altman plots, which showed no strong tendency for an over- or underestimation.
The present study had limitations. First, the number of study participants was small. This limited the comparison of CT and MRI with an adequate statistical power. Second, the distance between the tumor and potential CRM was measured on transverse CT images and not on multi-planar reformation which would allow the image to be sectioned perpendicular to the tumor. The measurement of CRM on CT would be expected to be less accurate.
In conclusion, CT and MRI showed a limited performance in predicting the local tumor staging and CRM involvement in patients after neoadjuvant CRT although MRI tended to show a better performance than CT.
The study data can provide a guidance for the treatment planning for subjects with rectal cancer following neoadjuvant CRT.

Figures and Tables

Fig. 1
CT image of a 51-year-old male with T3 rectal cancer and clear circumferencial resection margin. The mesorectal fascia is shown as a linear soft tissue-density structure surrounding the mesorectum (arrows). The distance was measured as the shortest distance from the outermost part of the tumor to the adjacent mesorectal fascia at the level of the maximum depth of penetration through the rectal wall.
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Fig. 2
MR image of a 59-year-old female with T3 rectal cancer and involved circumferential resection margin. The mesorectal fascia is shown as a hypo-intense linear structure (arrows). The distance from tumor to mesorectal fascia was 0 mm, and it was 1 mm on histopathology.
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Fig. 3
Bland-Altman plot of differences between post-chemoradiotherapy CT and histopathology in distance measurements from the tumor to circumferential resection margin (CRM) for Observer 1. The limits of agreement (-5.5 mm and 7.7 mm) are not small enough to use CT and histopathology interchangeably in the assessment of distance to CRM.
Note.-X-axis = distance from the tumor and the CRM measured on histopathology, Y-axis = difference between the distances measured on CT and histopathology, solid line = mean difference, dashed line = limit of agreement
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Fig. 4
Bland-Altman plot of differences between post-chemoradiotherapy CT and histopathology in distance measurements from the tumor to the circumferential resection margin (CRM) for Observer 2. The limits of agreement (-6.1 mm and 10.5 mm) are not small enough to use CT and histopathology interchangeably in the assessment of distance to CRM.
Note.-X-axis = distance from the tumor and the CRM measured on histopathology, Y-axis = difference between the distances measured on CT and histopathology, solid line = mean difference, dashed line = limit of agreement
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Fig. 5
Bland-Altman plot of difference between post-chemoradiotherapy MRI and histopathology in distance measurements from the tumor to the circumferential resection margin (CRM) for Observer 1. The limits of agreement (-3.8 mm and 6.2 mm) are not small enough to use MRI and histopathology interchangeably in the assessment of distance to CRM.
Note.-X-axis = distance from the tumor and the CRM measured on histopathology, Y-axis = difference between the distances measured on MRI and histopathology, solid line = mean difference, dashed line = limit of agreement
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Fig. 6
Bland-Altman plot of difference between post-chemoradiotherapy MRI and histopathology in distance measurements from the tumor to the circumferential resection margin (CRM) for Observer 2. The limits of agreement (-4.2 mm and 7.3 mm) are not small enough to use CT and histopathology interchangeably in the assessment of distance to CRM.
Note.-X-axis = distance from the tumor and the CRM measured on histopathology, Y-axis = difference between the distances measured on MRI and histopathology, solid line = mean difference, dashed line = limit of agreement
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Table 1
Characteristics of the Patients
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Note.-*Determined on MRI obtained before neoadjuvant chemoradiotherapy by two radiologists in consensus. The cut-off distance for involved CRM was ≤ 2 mm.

APR = abdominoperineal resection, CRM = circumferential resection margin, LAR = low anterior resection, LV = leucovorin, 5-FU = 5 fluorouracil

Table 2
Accuracy of T and N Stages on CT and MRI after Neoadjuvant CRT in 57 Patients
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Note.-Numbers in parenthesis are 95% confidence intervals.

CRT = chemoradiotherapy

Table 3
Diagnostic Performance in Predicting Tumor Involvement of Circumferential Resection Margin
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Note.-Numbers in parenthesis are 95% confidence intervals. Any of performance parameters did not show statistically significant difference between CT and MRI.

NPV = negative predictive value, PPV = positive predictive value

Notes

This study was supported by grant No. 02-2012-050 from Seoul National University Bundang Hospital.

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