<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJMI</journal-id><journal-title-group><journal-title>Open Journal of Medical Imaging</journal-title></journal-title-group><issn pub-type="epub">2164-2788</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojmi.2017.73009</article-id><article-id pub-id-type="publisher-id">OJMI-79026</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Pre-Operative Perihepatic Lymph Node Assessment in Colorectal Cancer Liver Metastasis—A Review of Current Literature
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tuck</surname><given-names>Leong Yong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>David</surname><given-names>Burrows</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chris</surname><given-names>Christophi</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Surgery, Austin Health, Heidelberg, Australia</addr-line></aff><aff id="aff2"><addr-line>Department of Radiology, Northern Health, Epping, Australia</addr-line></aff><aff id="aff1"><addr-line>Department of Surgery, Northern Health, Epping, Australia</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>soiyan@hotmail.com(TLY)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>10</day><month>08</month><year>2017</year></pub-date><volume>07</volume><issue>03</issue><fpage>89</fpage><lpage>99</lpage><history><date date-type="received"><day>20,</day>	<month>August</month>	<year>2017</year></date><date date-type="rev-recd"><day>10,</day>	<month>September</month>	<year>2017</year>	</date><date date-type="accepted"><day>13,</day>	<month>September</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Objective: Perihepatic lymph node involvement in colorectal cancer liver metastases is a negative prognostic factor. Resection of certain nodal stations around the liver has been shown to possibly improve survival. The aim of this review is to interrogate current literature on pre-operative investigations in diagnosing lymph node involvement. Method: A systematic review was conducted of articles published since 2006 to determine usefulness of pre-operative imaging in diagnosing lymph node involvement in colorectal cancer liver metastases. Results: Only 2 papers met the inclusion criteria for this study. Computed tomography (CT) scans were found to have sensitivities of 33% and 40%, specificities of 94% and 92%, positive predictive values (PPV) of 56% and 30%, and negative predictive values (NPV) of 85% and 95%. Positron emission tomography (PET) was studied in one of the paper and was found to have sensitivity, specificity, PPV and NPV of 57%, 100%, 100%, and 88% respectively. Conclusion: There is a significant lack of research on pre-operative investigations of perihepatic lymph node involvement in colorectal cancer liver metastases. Pre-operative CT and PET scans in assessing perihepatic lymph nodes were shown to be inaccurate. Newer pre-operative imaging modalities and research would be needed.
 
</p></abstract><kwd-group><kwd>Cancer Staging</kwd><kwd> Colorectal Carcinoma</kwd><kwd> Hepatic Metastasis</kwd><kwd> CT Scan</kwd><kwd> Lymph Nodes</kwd><kwd> Positron-Emission Tomography</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Colorectal cancer is a dominant disease in the Australian society. In 2012, 14,958 new cases of bowel cancers were diagnosed in Australia, making it the 3<sup>rd</sup> most common cancer diagnosis [<xref ref-type="bibr" rid="scirp.79026-ref1">1</xref>] . About 50% of patients with colorectal carcinoma will eventually develop metastases, with liver and lungs being the most common sites [<xref ref-type="bibr" rid="scirp.79026-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref6">6</xref>] . For patients with liver metastases, surgery remains the gold standard of treatment with 5-year survival rates approaching 50% [<xref ref-type="bibr" rid="scirp.79026-ref6">6</xref>] - [<xref ref-type="bibr" rid="scirp.79026-ref11">11</xref>] .</p><p>Studies have shown that perihepatic lymph node involvement from colorectal cancer liver metastases is a negative prognostic factor. Survival is very poor with 5-year survival rates ranging from 1% - 5% [<xref ref-type="bibr" rid="scirp.79026-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref16">16</xref>] . There is some survival benefit in surgical resection of certain nodal stations around the hepatic hilar region [<xref ref-type="bibr" rid="scirp.79026-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref21">21</xref>] . Therefore, accurate staging is paramount for decision making pre-operatively.</p><p>Most commonly, staging of patients with colorectal cancer involves abdominal ultrasound and computed tomography (CT) scan as well as chest X-ray or CT chest. Positron emission tomography (PET) scan is used more frequently these days as a staging tool. Currently, despite multiple modalities being available, there is no diagnostic guideline in aiding a radiologist to differentiate a metastatic lymph node from a non-metastatic one [<xref ref-type="bibr" rid="scirp.79026-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref25">25</xref>] .</p><p>Therefore, this review aims to assess the current literature on pre-operative investigations and to determine each modality’s usefulness in diagnosing lymph node involvement. In view of its prognostic value, lymph node pre-operative staging needs to be considered important as it potentially changes decision-making process in colorectal cancer disease management.</p></sec><sec id="s2"><title>2. Methods</title><p>A literature search was performed in May 2016 using PubMed and EMBASE databases. Search terms used included “liver or hepatic secondaries, liver or hepatic metastasis, computer tomography, magnetic resonance, ultrasound, positron emission tomography, and perihepatic or hepatic pedicle or perihilar lymph node”. Search was filtered for articles in English, on human subjects and published since 1 January 2006. Articles were assessed based on information gleaned from the titles and abstracts initially. If deemed appropriate for the purpose of this study, complete articles were obtained for further assessment. References from these selected papers were also perused to identify any article which could be included in this study.</p><p>The main inclusion criteria were assessment of pre-operative investigations to ascertain perihepatic lymph node status. Studies included must have clearly stated definition to determine lymph node involvement pre-operatively. Review articles, abstracts and case reports were excluded. Selected studies were graded using QUADAS tool [<xref ref-type="bibr" rid="scirp.79026-ref26">26</xref>] . Accuracy of each imaging modality from each study was recorded for further analysis.</p></sec><sec id="s3"><title>3. Results</title><p>Based on the search terms mentioned before, 38 papers were initially identified from the databases. Thirty-three papers were selected for further scrutiny of their titles and abstracts. Upon further scrutiny, only 2 studies met the inclusion criteria of this study. <xref ref-type="fig" rid="fig1">Figure 1</xref> illustrated the flow of paper selection based on PRISMA guidelines. No additional paper was identified from the references of reviewed papers.</p><p>The 2 articles included in the final analysis were by Grobmyer et al. and Rau et al. Characteristics of each paper were shown in <xref ref-type="table" rid="table1">Table 1</xref> [<xref ref-type="bibr" rid="scirp.79026-ref27">27</xref>] . Based on QUADAS</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Study characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Reference</th><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >Type of study</th><th align="center" valign="middle" >Comparison</th><th align="center" valign="middle" >Level of evidence</th><th align="center" valign="middle" >Cases (no. of lymph nodes assessed)</th><th align="center" valign="middle" >Time</th></tr></thead><tr><td align="center" valign="middle" >Rau et al. [<xref ref-type="bibr" rid="scirp.79026-ref28">28</xref>] <sup> </sup></td><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >Prospective comparison</td><td align="center" valign="middle" >Pre-operative CT vs Intraoperative findings</td><td align="center" valign="middle" >III-1</td><td align="center" valign="middle" >76 (241)</td><td align="center" valign="middle" >January 2008-June 2006</td></tr><tr><td align="center" valign="middle" >Grobmyer et al. [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] <sup> </sup></td><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >Retrospective comparison</td><td align="center" valign="middle" >Pre-operative CT vs PET vs intraoperative findings</td><td align="center" valign="middle" >III-2</td><td align="center" valign="middle" >100 (316)</td><td align="center" valign="middle" >July 2002-June 2004</td></tr></tbody></table></table-wrap><p>tool scoring system, the paper by Grobmyer et al. attained a score of 9 while the one by Rau et al. had a score of 10. Both papers were of equal quality.</p><sec id="s3_1"><title>3.1. Study Population</title><p>The study by Rau et al., included all consecutive patients who underwent surgical treatment of resectable colorectal liver metastases at Hopital Beaujon, France between January 2008 and June 2010 [<xref ref-type="bibr" rid="scirp.79026-ref28">28</xref>] . A total of 78 consecutive patients were included. Two were eventually excluded as no curative surgery was performed due to peritoneal carcinomatosis. From these 76 patients, hepatic pedicle lymph node dissection yielded 241 lymph nodes. Thirty (12.5%) lymph nodes were found to have metastatic cells after pathological analysis.</p><p>In the article by Grobmyer et al., 75% of 100 patients included had metastatic colorectal cancer [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] . Twenty-five patients had other types of hepatic malignancies. Nevertheless, all patients underwent lymph node sampling with a total of 316 lymph nodes harvested. Twenty-two (7%) lymph nodes from 15 patients had metastatic disease.</p><p>Therefore, for this review, a total of 178 patients underwent liver resections and hepatic pedicle lymphadenectomy, yielding 557 lymph nodes. Of these 52 lymph nodes (9.3%) had metastatic disease.</p></sec><sec id="s3_2"><title>3.2. Definition of Lymph Node Involvement</title><p>In the study by Rau et al., CT diagnoses of metastatic lymph nodes were compared against histologically proven metastatic nodes [<xref ref-type="bibr" rid="scirp.79026-ref28">28</xref>] . The authors defined metastatic nodes on CT as lymph nodes larger than 1cm in the short axis diameter, round shaped, irregularly contoured and/or heterogeneous in appearance.</p><p>Size was also used by Grobmyer et al. [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] . However, they defined metastatic involvement on CT differently depending on position of the nodal station. Portocaval nodes were considered involved if cross product of dimensions was ≥0.65 cm<sup>2</sup>. Pancreaticoduodenal and hepatic artery nodes were considered involved as long as CT could detect them. As for PET scan detected nodes, these were considered positive if there was increased fluorodeoxyglucose (FDG) uptake in the perihepatic regions.</p></sec><sec id="s3_3"><title>3.3. Accuracy of Pre-Operative Scans</title><p>In the paper by Rau et al., accuracy of CT scan was calculated on a per-patient basis [<xref ref-type="bibr" rid="scirp.79026-ref28">28</xref>] . On the other hand, Grobmyer et al., analyzed accuracy of CT scan in detecting metastatic lymph node based on a per-nodal station basis [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] . The heterogeneity of analysis made pooling of results impossible. However, for PET scan, they calculated its accuracy on a per-patient basis as a PET scan was not able to geographically localise exactly the location of an FDG-avid node.</p><p>CT scan showed suspicious lymph nodes in 20 lymph node stations in the paper by Grobmyer et al. [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] . Of these only 8 had metastatic cells confirmed on histopathology. Of all the 236 lymph node stations assessed, 216 were thought to be negative for metastasis. But there were 7 metastatic lymph node stations among them found on pathology. As a result, sensitivity, specificity, positive predictive value and negative predictive value of pre-operative CT were calculated to be 40%, 92%, 30% and 95% respectively. In comparison, in the paper by Rau et al., lymph node metastasis was suspected in 9 patients based on findings from pre-operative CT [<xref ref-type="bibr" rid="scirp.79026-ref28">28</xref>] . However, only 5 were confirmed to have nodal metastasis. Of the remaining 67 patients deemed to have no nodal disease on CT, 4 turned out to have disease. This gave sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for CT on a per-patient basis of 33%, 94%, 56% and 85% respectively.</p><p>PET scan was only studied in the paper by Grobmyer et al. [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] . Results were analysed on a per-patient basis on 66 patients. No explanation was given as to the omission of the other 34 patients from having a pre-operative PET scan. Four patients were suspected to have nodal metastasis based on pre-operative PET scans. PET scans failed to detect nodal metastasis in 7 patients. The overall sensitivity, specificity, PPV and NPV for PET scan were 57%, 100%, 100% and 88% respectively (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Perihepatic lymph node is quite frequently identified on pre-operative imaging. However, there is a significant challenge in differentiating a metastatic lymph node from one that is not [<xref ref-type="bibr" rid="scirp.79026-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref32">32</xref>] . In colorectal cancer hepatic metastases, presence of perihilar lymphadenopathy from nodal metastases would portend a poor prognosis with recent studies indicating a 5-year survival rate of 1% - 5% [<xref ref-type="bibr" rid="scirp.79026-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref13">13</xref>] . Pre-operative staging investigations thus have an important role in selecting appropriate patients for curative treatments.</p><p>Unfortunately, thus far, there has not been any official recommendation to guide the diagnosis of lymph node metastasis. CT has been most commonly used to stage colorectal cancer metastasis pre-operatively. Size and shape has been frequently used as means to help differentiate benign from malignant lymph nodes [<xref ref-type="bibr" rid="scirp.79026-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref34">34</xref>] . To be deemed positive, a malignant lymph node should be larger than 1cm on its short axis diameter, asymmetrical and/or present in clusters [<xref ref-type="bibr" rid="scirp.79026-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref33">33</xref>] . Sensitivity and specificity of CT scan in lymph node staging were estimated to be 52% - 55% and 74% - 78% respectively [<xref ref-type="bibr" rid="scirp.79026-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref36">36</xref>] . In another</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Summary of results</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Reference</th><th align="center" valign="middle" >Imaging</th><th align="center" valign="middle" >Sensitivity (%)</th><th align="center" valign="middle" >Specificity (%)</th><th align="center" valign="middle" >PPV (%)</th><th align="center" valign="middle" >NPV (%)</th></tr></thead><tr><td align="center" valign="middle" >Rau et al. [<xref ref-type="bibr" rid="scirp.79026-ref28">28</xref>] <sup> </sup></td><td align="center" valign="middle" >CT<sup>†</sup><sup> </sup></td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >85</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Grobmyer et al. [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] <sup> </sup></td><td align="center" valign="middle" >CT<sup>‡</sup><sup> </sup></td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >95</td></tr><tr><td align="center" valign="middle" >PET<sup>†</sup><sup> </sup></td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >88</td></tr></tbody></table></table-wrap><p><sup>†</sup>Calculations were based on a per-patient analysis. <sup>‡</sup>Calculations were based on a per-nodal station analysis.</p><p>meta-analysis CT nodal staging sensitivity and specificity were 70% and 78% respectively [<xref ref-type="bibr" rid="scirp.79026-ref37">37</xref>] .</p><p>This seemed higher than the sensitivity quoted in this review. Sensitivity of CT scans for perihepatic metastatic lymph nodes were low between 33% - 40%. Specificity of CT scans was higher, however, with reported values of more than 90%. The differences in sensitivity and specificity values here compared to the studies by Bipat et al. and Dighe et al. could be attributed to the location of the nodes [<xref ref-type="bibr" rid="scirp.79026-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref37">37</xref>] . Here, Rau et al. and Grobmyer et al., studied CT detection of nodes around the liver, whereas Bipat et al. and Dighe et al. looked at nodes around the intestinal mesentery or perirectal regions [<xref ref-type="bibr" rid="scirp.79026-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref37">37</xref>] .</p><p>A significant problem of CT scan using size criteria to define nodal metastasis is that cancer can be present in nodes less than 1cm in size [<xref ref-type="bibr" rid="scirp.79026-ref30">30</xref>] . In a paper estimating frequency of perirectal nodal metastasis, the majority of metastasis occurred in lymph nodes smaller than 1 cm [<xref ref-type="bibr" rid="scirp.79026-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref38">38</xref>] .</p><p>To improve the detection of extrahepatic metastasis, FDG-PET had been investigated quite thoroughly in the literature. In a study, which located 40 intra-abdominal lymph node recurrences from colorectal cancer, FDG-PET combined with CT was found to have sensitivity of 100%, specificity of 40%, PPV of 93%, and NPV of 100% [<xref ref-type="bibr" rid="scirp.79026-ref39">39</xref>] . In another paper however, PET was noted to have low sensitivity but high specificity (28.6% and 92.9% respectively) [<xref ref-type="bibr" rid="scirp.79026-ref40">40</xref>] . In comparison, PET scan was also found to be low in sensitivity but high in specificity as seen in Grobmyer et al. in this review [<xref ref-type="bibr" rid="scirp.79026-ref29">29</xref>] . PET scan was thought to be useful for its ability to detect malignant lymph node without depending on size of the node [<xref ref-type="bibr" rid="scirp.79026-ref41">41</xref>] . However, a guideline from Canada was published recently which did not recommend the routine use of PET scan for staging of colorectal cancer [<xref ref-type="bibr" rid="scirp.79026-ref42">42</xref>] .</p><p>MRI scan was not scrutinized in this review. There has been no specific study on the use of MRI in locating malignancy within perihepatic lymph nodes. MRI is known to have a high soft tissue contrast and should improve detection of disease when size criterion was combined with border and signal morphology of the node [<xref ref-type="bibr" rid="scirp.79026-ref22">22</xref>] . High resolution MRI has the ability to visualize a lymph node as small as 2 mm in diameter [<xref ref-type="bibr" rid="scirp.79026-ref30">30</xref>] . In a study of 437 lymph nodes from patients with rectal carcinoma, MRI detection of diseased lymph nodes had sensitivity of 85% and specificity of 97% [<xref ref-type="bibr" rid="scirp.79026-ref43">43</xref>] . Recent developments in MRI have seen the use of ultra-small superparamagnetic particles of iron oxide (USPIO) as a contrast specific for nodal tissues. An increase in signal intensity is noted in a diseased node. This was shown to have high sensitivity and specificity (93% and 96% respectively) for malignant lymph nodes in rectal cancer [<xref ref-type="bibr" rid="scirp.79026-ref44">44</xref>] . MRI utilizing diffusion-weighted imaging (DWI) has also emerged as a possible tool for discriminating between malignant and non-malignant lymph nodes. Cho et al. reported a sensitivity of 78% and specificity of 67% using this in staging of colorectal cancer [<xref ref-type="bibr" rid="scirp.79026-ref45">45</xref>] .</p><p>This current review has shown a significant weakness in pre-operative imaging for colorectal cancer liver metastases prior to resectional surgery. CT and PET have both been shown to lack sensitivity although specificity is quite high. The main limitation of this review nevertheless is the small number of papers included for analysis. The definition used in each paper to define an involved perihilar lymph node was also different, disallowing any useful attempt at pooled data analysis. Newer studies would hopefully compare other modalities in future articles. The prognostic value of perihepatic lymph node cannot be underestimated and would be a useful knowledge pre-operatively in selection of appropriate patient treatment. With modern chemotherapy including anti-lymphangiogenic therapies, and better surgical techniques, survival rates could be improved in these patients [<xref ref-type="bibr" rid="scirp.79026-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref46">46</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref47">47</xref>] .</p><p>Current technology of imaging is not yet good enough to accurately stage perihepatic lymph nodes. Regional lymphadenectomy during liver resection appears to be the most definitive tool in staging of nodal status in colorectal cancer hepatic metastases with minimal additional morbidity and mortality [<xref ref-type="bibr" rid="scirp.79026-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref50">50</xref>] . However, value of its benefit to patient survival remained controversial but promising data is beginning to appear [<xref ref-type="bibr" rid="scirp.79026-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref17">17</xref>] . This is especially for nodes around the hepaticoduodenal ligament and the retropancreatic regions [<xref ref-type="bibr" rid="scirp.79026-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.79026-ref17">17</xref>] .</p></sec><sec id="s5"><title>5. Conclusion</title><p>There is a significant lack of research on investigations of perihepatic lymph node involvement in colorectal cancer liver metastases. This is a major oversight in the current literature in view of the significance of lymph node status in patient prognosis. This review has highlighted the inaccuracy in pre-operative CT and PET scans in assessing perihepatic lymph nodes. Newer pre-operative imaging modalities and research would be needed.</p></sec><sec id="s6"><title>6. Disclosure</title><p>The authors declare that there is no conflict of interest, financial or otherwise, regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Yong, T.L., Burrows, D. and Christophi, C. (2017) Pre-Operative Perihepatic Lymph Node Assessment in Colorectal Cancer Liver Metastasis―A Review of Current Literature. Open Journal of Medical Imaging, 7, 89-99. https://doi.org/10.4236/ojmi.2017.73009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.79026-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Cancer Australia. Bowel Cancer Statistics. Available from:  
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