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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">abc</journal-id>
      <journal-title-group>
        <journal-title>Archives of Breast Cancer</journal-title>
        <abbrev-journal-title abbrev-type="pubmed">Arch Breast Cancer</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2383-0425</issn>
      <issn pub-type="epub">2383-0433</issn>
      <publisher>
        <publisher-name>Farname Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.32768/abc.2024114345-349</article-id>
      <article-id pub-id-type="manuscript">932</article-id>
      <article-version vocab="JAV" vocab-identifier="http://www.niso.org/publications/rp/RP-8-2008.pdf" 
        article-version-type="VoR" vocab-term="Version of Record">version-of-record</article-version>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Assessment of Inter-observer Reproducibility of the Residual Cancer Burden Index and Neoadjuvant Chemotherapy Response in Breast Carcinoma</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Mondal</surname>
            <given-names>Nilanjana</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">a</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mondal</surname>
            <given-names>Ambalika</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">a</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Maji</surname>
            <given-names>Ratnaprabha</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">a</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bandyopadhyay</surname>
            <given-names>Anis</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">b</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Barui</surname>
            <given-names>Gopinath</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">a</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Roy</surname>
            <given-names>Anup K</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">a</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Bandyopadhyay</surname>
            <given-names>Arghya</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">a</xref>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>a</label>
        <institution>Department of Pathology, Nilratan Sircar Medical College and Hospital</institution>
        <city>Kolkata</city>
        <country country="IN">India</country>
      </aff>
      <aff id="aff2">
        <label>b</label>
        <institution>Department of Radiotherapy, Nilratan Sircar Medical College and Hospital</institution>
        <city>Kolkata</city>
        <country country="IN">India</country>
      </aff>
      <author-notes>
        <corresp id="cor1">
          <label>*</label>
          Address for correspondence: Arghya Bandyopadhyay, Department of Pathology, Nilratan Sircar Medical College and Hospital, Kolkata, India.
        </corresp>
        <fn fn-type="coi-statement">
          <p>No conflicts of interest exist regarding the publication of the present study.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <year>2024</year>
      </pub-date>
      <volume>11</volume>
      <issue>4</issue>
      <fpage>345</fpage>
      <lpage>349</lpage>
      <history>
        <date date-type="received" iso-8601-date="2024-04-16">
          <day>16</day>
          <month>04</month>
          <year>2024</year>
        </date>
        <date date-type="rev-recd" iso-8601-date="2024-08-01">
          <day>01</day>
          <month>08</month>
          <year>2024</year>
        </date>
        <date date-type="accepted" iso-8601-date="2024-08-09">
          <day>09</day>
          <month>08</month>
          <year>2024</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Copyright &#x00A9; 2024 Archives of Breast Cancer</copyright-statement>
        <copyright-year>2024</copyright-year>
        <copyright-holder>Archives of Breast Cancer</copyright-holder>
        <license license-type="open-access">
          <license-p>
            This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License 
            (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/" xlink:title="Creative Commons Attribution-NonCommercial 4.0 International License">
              Creative Commons Attribution-NonCommercial 4.0 International License
            </ext-link>), 
            which permits copy and redistribution of the material in any medium or format or adapt, remix, transform, and build upon the material for any purpose, except for commercial purposes.
          </license-p>
          <ali:license_ref>https://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref>
        </license>        
      </permissions>
      <abstract>
        <title>Abstract</title>
        <p id="P1"><bold>Background:</bold> Locally advanced breast cancers are nowadays treated with neoadjuvant chemotherapy (NAC) to downstage the tumor.  One way to assess the NAC response is to use the Residual Cancer Burden (RCB) index.</p>
        <p id="P2">The aim of the study was to assess inter-pathologist reproducibility of the residual cancer burden index and to evaluate different clinico-pathological parameters that determine the pathological response.</p>
        <p id="P3"><bold>Methods:</bold> In this retrospective cohort study, surgically excised specimens of 49 NAC-treated breast cancer cases were examined by histopathology and immunohistochemistry over a period of one and a half years. Four pathologists with different levels of experience reviewed the reports (unaware of the original RCB index) and the slides and assigned the RCB indices for each case. Clinical, histopathological, and immunohistochemical parameters were evaluated. Fleiss’ kappa statistics were applied to assess interobserver reproducibility of the RCB index.</p>
        <p id="P4"><bold>Results:</bold> No significant relationship was observed between the RCB index (of the original report) with age, the largest tumor dimension, and the number of chemotherapy cycles. The RCB index of 49 cases as assigned by four pathologists was calculated by Fleiss’ kappa statistics, which showed good overall agreement (82.6%).</p>
        <p id="P5"><bold>Conclusion:</bold> It has been observed that there is no significant relation between pathological response to NAC with age, the largest tumor dimension, and the number of chemotherapy cycles of breast carcinoma. It can also be concluded that RCB can be reliably used to report the neoadjuvant chemotherapy-treated specimens of breast cancer.</p>
      </abstract>
      <kwd-group>
        <title>Keywords</title>
        <kwd>inter-observer reproducibility</kwd>
        <kwd>neoadjuvant chemotherapy</kwd>
        <kwd>breast cancer</kwd>
        <kwd>pathological complete response</kwd>
        <kwd>rcb index</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement>This research did not receive any funding grants from public, commercial, or nonprofit agencies.</funding-statement>
      </funding-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro" id="S1">
      <title>Introduction</title>
      <p id="P6">Breast cancer is the most common cancer and a leading cause of death in women. Locally invasive breast cancers are often treated with neoadjuvant chemotherapy (NAC). Pathological complete response (pCR) is defined as the absence of invasive breast cancer (in breast as well as in nodes) after the completion of chemotherapy. Disease-free and overall survival depend on the response to standard NAC in invasive breast cancer.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Invasive breast cancer shows different responses to NAC, ranging from complete absence of disease to extensive residual disease. More than 15 grading systems, including the Miller-Payne system, AJCC staging system, residual cancer burden (RCB) system, Neo-Bioscore, etc., have been proposed to evaluate the pathological response. Among them, the RCB index developed by the MD Anderson Cancer Center is most commonly used.<sup><xref rid="R2" ref-type="bibr">2</xref>-<xref rid="R5" ref-type="bibr">5</xref></sup> RCB can be calculated by a web-based calculator as a score or category. It has four categories, which include RCB 0 showing pathological complete response, RCB 1 showing minimal residual disease, RCB 2 showing moderate residual disease, and RCB 3 showing extensive residual disease. The index is based on several histopathological parameters, such as two-dimensional size and cellularity of the tumor bed, percentage of in situ cancer, number of involved nodes, and diameter of the largest metastasis. It provides more quantitative information about the response, unlike other systems, which are more descriptive.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> However, there is concern regarding the subjectivity of this grading system, especially in assessing cellularity.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> To date, only a few studies have verified the feasibility of the RCB index in stratifying the prognosis of patients treated with NAC, with no study on the Indian population.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup></p>
      <p id="P7">The aim of the present study was to assess the inter-observer agreement of the RCB index when slides were examined by four pathologists with different levels of expertise in breast pathology. Several clinical and pathological parameters were also evaluated.</p>
    </sec>
    <sec sec-type="methods" id="S2">
      <title>Methods</title>
      <sec id="S3">
        <title>Study design and participants</title>
        <p id="P8">This retrospective cohort study was conducted on 49 cases of locally invasive breast cancer treated with a standard regimen of NAC (consisting of an anthracycline-based chemotherapy regimen with or without additional taxane) and subsequently operated on by modified radical mastectomy. The grossing, histopathological examination, immunohistochemistry interpretation, and reporting were done according to standard protocol (described below). The residual cancer burden was reported according to the RCB index as per institutional mandate. All relevant history of the patient, like age, menstrual status, breast radiology findings, pre-operative size of the tumor, number of chemotherapy cycles, trucut biopsy/fine needle aspiration cytology findings, and molecular subtypes, were recorded. All the patients meeting the above criteria, with all slides available for review and written consent for inclusion in the study, were recruited as study participants.</p>
      </sec>
      <sec id="S4">
        <title>Grossing methodology</title>
        <p id="P9">During grossing, radiology findings were evaluated. The formalin-fixed specimen was oriented and measured, and all surfaces were inked with different colors. The specimens were serially sliced at 5 mm thickness, exposing the largest cross-section of the tumor bed. The slices were serially placed on the table, palpated carefully to find the firm area or the presence of clips. When the tumor bed was identified, the size and distance from the margins were documented. Those sections representing the full face of the tumor bed were studied in multiple sections. A photograph of the tumor bed was taken, and a diagrammatic map was made for the sections taken.</p>
      </sec>
      <sec id="S5">
        <title>Microscopic evaluation</title>
        <p id="P10">For the present study, four pathologists of different ages and experiences were recruited. Among them, one had 30 years of experience, and others had 15 years, 10 years, and 9 years of experience, respectively. They were provided with published materials and website instructions to calculate the RCB index. The pathologists reviewed the gross finding report and the archival slides of the cases (unaware of the original RCB score and category). They individually graded each case and assigned the RCB score and category using the online RCB calculator.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> (https://www3.mdanderson.org/app/medcalc/index.cfm?pagename=jsconvert3). The association between the original RCB index (issued by the department) with the age of the patient, the largest tumor dimension, the number of chemotherapy cycles, and molecular subtypes was analyzed, and inter-pathologists’ agreement was evaluated.</p>
        <p id="P11">RCB scoring parameters included the following: (1) Cellularity, which is the percentage of the tumor bed area that contains malignant cells (invasive or in situ). Cellularity is assessed by comparison with the chart provided in the online calculator; (2) estimate of the percentage of the carcinoma in situ in the tumor bed; (3) two dimensions of the tumor bed containing residual cancer in millimeters; (4) the number of residual cancer positive lymph nodes; (5) the longest diameter of largest nodal metastatic deposit in millimeters. The RCB class 0 represents pCR, and classes 1-3 represent the increasing extent of the residual cancer.</p>
      </sec>
      <sec id="S6">
        <title>Statistical analysis</title>
        <p id="P12">The relationship between the age of the patient, size of the tumor, number of chemotherapy cycles, and molecular subtypes with RCB indices was evaluated by the Chi-square test. Continuous variables (e.g., age, tumor size, and number of chemotherapy cycles) were divided into categories to use the Chi-square test for relationship analysis.</p>
        <p id="P13">The inter-observer reproducibility of RCB indices on 49 cases between four pathologists was calculated using Fleiss’ kappa statistics by an online calculator.<sup><xref rid="R6" ref-type="bibr">6</xref></sup> Fleiss’ kappa is a statistical measure for assessing the reliability of the agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items. Kappa values range from −1 to +1. The higher the value of kappa, the stronger the agreement, as follows:  Kappa=1, perfect agreement exists; Kappa=0, agreement is the same as would be expected by chance; Kappa &lt;0, agreement is weaker than expected by chance, which rarely occurs.<sup><xref rid="R6" ref-type="bibr">6</xref></sup></p>
        <p id="P14">All statistical analyses were performed using SPSS 16, at a P-value &lt;0.05.</p>
      </sec>
    </sec>
    <sec sec-type="results" id="S7">
      <title>Results</title>
      <p id="P15">In the present study, 49 patients were included (mean age of 52 years), out of whom 39 (80%) were above 45 years. There was no statistically significant association between age and NAC response (P=0.38). The mean tumor bed diameter was 4.8 cm.  The size of the tumor bed dimension was divided into two groups: those ≤5 cm (26 cases, 53%) and those >5 cm (23, 47%). No statistical significance was found with the size of the tumor bed and response to NAC (P-value=0.8). There was no statistically significant correlation between neoadjuvant chemotherapy cycles (fewer than or more than 4 cycles) with RCB categories (P-value=0.49). We could retrieve the IHC data of 36 cases, among whom 20 (56%) cases were of Luminal subtype, 8 (22%) were HER2-neu positive, and 8 (22%) were triple-negative (Table 1). The pairwise observer agreement between the pathologists ranged from 57.1% to 83.67%, and the pairwise kappa value ranged from 0.43 to 0.78 (Table 2).</p>
      <p id="P16">The cases were reviewed independently by four pathologists without knowing the original diagnosis. Individual pathologists’ diagnosis (RCB score), as a percentage of the total number of cases, is depicted in Figure 1. In the analysis, the four pathologists were treated similarly and none of them was considered to provide a reference score. The RCB index of all the cases as assigned by the four pathologists was statistically calculated by Fleiss’ kappa statistics, and the overall agreement was calculated to be 82.6%. The free marginal kappa was 0.76, and the fixed marginal kappa was 0.71 (Figure 1).</p>
      <fig id="F1">
        <label>Figure 1</label>
        <caption>
          <p>Individual pathologist’s diagnosis (RCB score), as a percentage of 49 cases. Fleiss’ kappa statistics showed an overall agreement of 82.6%. The free marginal kappa was 0.76, and the fixed marginal kappa was 0.71.</p>
        </caption>
        <graphic xlink:href="2383-0433-11-04-345-g001.jpg">
          <alt-text>Figure 1</alt-text>
        </graphic>
      </fig>
      <table-wrap id="T1" position="float">
        <label>Table 1</label>
        <caption>
          <title>Relationship between clinicopathological parameters of the breast carcinoma patients treated with NAC and RCB indices</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th rowspan="2"/>
              <th>RCB 0 n (%)</th>
              <th>RCB 1 n (%)</th>
              <th>RCB 2 n (%)</th>
              <th>RCB 3 n (%)</th>
              <th rowspan="2">χ2 and P value</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td colspan="6"><bold>Age, years (n=49)</bold></td>
            </tr>
            <tr>
              <td>&lt;45 (10), 20.4%</td>
              <td>1 (10%)</td>
              <td>1 (10%)</td>
              <td>2 (20%)</td>
              <td>6 (60%)</td>
              <td rowspan="2">P=0.38 χ2=30.3</td>
            </tr>
            <tr>
              <td>&gt;45 (39), 79.6%</td>
              <td>1 (2%)</td>
              <td>2 (4%)</td>
              <td>18 (46%)</td>
              <td>18 (46%)</td>
            </tr>
            <tr>
              <td colspan="6"><bold>Size of tumor, mm (n=49)</bold></td>
            </tr>
            <tr>
              <td>≤50 (26), 53%</td>
              <td>1 (3.8%)</td>
              <td>1 (3.8%)</td>
              <td>10 (38.5%)</td>
              <td>14 (53.9%)</td>
              <td rowspan="2">P=0.84 χ2=0.81</td>
            </tr>
            <tr>
              <td>&gt;50 (23),47%</td>
              <td>1 (4.3%)</td>
              <td>2 (8.6%)</td>
              <td>10 (43.5%)</td>
              <td>10 (43.5%)</td>
            </tr>
            <tr>
              <td colspan="6"><bold>Number of chemotherapy cycles (n=49)</bold></td>
            </tr>
            <tr>
              <td>&lt;4  (26), 53%</td>
              <td>1 (3.8%)</td>
              <td>1 (3.8%)</td>
              <td>12 (46.1%)</td>
              <td>12 (46.1%)</td>
              <td rowspan="2">P=0.91 χ2=0.49</td>
            </tr>
            <tr>
              <td>&gt;4 (23), 47%</td>
              <td>1 (4.3%)</td>
              <td>2 (8.6%)</td>
              <td>8 (34.7%)</td>
              <td>12 (52.3%)</td>
            </tr>
            <tr>
              <td colspan="6"><bold>Molecular subtypes (n=36)</bold></td>
            </tr>
            <tr>
              <td>Luminal (20), 56%</td>
              <td>0</td>
              <td>0</td>
              <td>8 (40%)</td>
              <td>12 (60%)</td>
              <td rowspan="3"/>
            </tr>
            <tr>
              <td>HER2-neu (8), 22%</td>
              <td>0</td>
              <td>0</td>
              <td>4 (50%)</td>
              <td>4 (50%)</td>
            </tr>
            <tr>
              <td>Triple-negative (8), 22%</td>
              <td>2 (25%)</td>
              <td>0</td>
              <td>4 (50%)</td>
              <td>2 (25%)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>HER2, human epidermal growth factor receptor 2; RCB, Residual Cancer Burden.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T2" position="float">
        <label>Table 2</label>
        <caption>
          <title>Pairwise observer agreement and kappa values</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th>Observer pairing</th>
              <th>Percent overall agreement</th>
              <th>Free marginal kappa</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Observer 1 and Observer 2</td>
              <td>57.14%</td>
              <td>0.43</td>
            </tr>
            <tr>
              <td>Observer 1 and Observer 3</td>
              <td>67.35%</td>
              <td>0.56</td>
            </tr>
            <tr>
              <td>Observer 1 and Observer 4</td>
              <td>48.98%</td>
              <td>0.32</td>
            </tr>
            <tr>
              <td>Observer 2 and Observer 3</td>
              <td>83.67%</td>
              <td>0.78</td>
            </tr>
            <tr>
              <td>Observer 2 and Observer 4</td>
              <td>75.51%</td>
              <td>0.67</td>
            </tr>
            <tr>
              <td>Observer 3 and Observer 4</td>
              <td>75.51%</td>
              <td>0.67</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="discussion" id="S8">
      <title>Discussion</title>
      <p id="P17">Many grading systems have been proposed to report post-neoadjuvant chemotherapy-treated surgically excised specimens of breast cancer, such as the RCB index, Miller-Payne system, Residual Disease in Breast and Nodes, etc.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup> Among them, the RCB index formulated by the MD Anderson Cancer Center is the most relevant and commonly used.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> Sahoo et al. have argued that almost all available post-NACT assessment methods at present are similar to each other, except for RCB, which is a web-based system<sup><xref rid="R7" ref-type="bibr">7</xref></sup>. Sejben et al. recommend the use of the RCB index in histopathology, as this classification makes the best distinction in outcomes.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> It has been thoroughly explained with directions on how to use this grading system, and a freely accessible online calculator is available.<sup><xref rid="R2" ref-type="bibr">2</xref></sup></p>
      <p id="P18">Out of all our cases, 10 belonged to the age group less than 45 years, and the rest were above this age.  Twenty cases belonged to the luminal subtype, 8 to the HER2-neu positive subtype, and 8 to the triple positive subtype. Also, 26 patients had received four cycles of neoadjuvant chemotherapy, and the rest of them had received 5 to 8 cycles of the same chemotherapy. The largest tumor dimension was less than or equal to 50mm for 26 cases. All these parameters have shown that they have no significant impact on the response to chemotherapy as graded using the RCB index. However, Lv et al. showed that high histological grade, negative HER2 status, and lymph node metastasis, positive HER2 status, and taxane-based regimens were significantly associated with the achievement of pCR with NAC.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> Tang et al. have demonstrated that among 84 patients aged less than 45 years and 189 patients aged ≥45 years, 12 and 26 patients achieved pCR, respectively. The P-value was not statistically significant. Additionally, among 230 patients with a tumor size less than 5 cm and 43 patients with a tumor size more than 5cm, 32 and 6 patients achieved pCR, respectively. The P-value was not statistically significant. Thus, similar to our study, they also concluded that age and tumor size have no effect on NAC response.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> Our sample size was small, and a larger cohort is needed to establish a statistical correlation between clinical parameters affecting the response to NAC.</p>
      <p id="P19">Peintinger et al. found that accuracy and overall concordance for the agreement in the RCB score among pathologists are significant and highly reproducible.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> In our study, the Fleiss’ kappa statistics have shown that the percentage of overall agreement among the pathologists was 82.31%, where the free marginal kappa was 0.76 and the fixed marginal kappa was 0.71. Thus, it can be inferred from the results that RCB has good inter-pathologist reproducibility for reporting post-neoadjuvant chemotherapy-treated breast cancer specimens, and can be reliably used for the same purpose.</p>
      <p id="P20">For proper use of the RCB grading system, a training program is highly recommended for a better understanding of fixation to microscopy. It is also recommended that the tumor bed area be marked with a pin during trucut biopsy, as it is not often discernible during the grossing of specimens after chemotherapy. Radiography is required for the identification of the tumor bed area as per the protocol, with photography being available at the grossing station. It is often very difficult to reconstruct and measure the tumor bed area by microscopy alone. Hence, proper orientation of the area by drawing pictures and meticulous grossing are necessary steps that were followed in this study. The entire tumor bed area embedding had been followed as per protocol, and lymphovascular invasion was not included in the calculation. It is also recommended that cellularity percentage images be displayed in the reporting room to reduce inter-observer variation in reporting. In this study, we observed that out of 8 cases that demonstrated triple negative status, 2 patients (25%) achieved pCR with NAC. In other molecular subtypes, none of the patients showed pCR. Jeon et al. found that pCR rates were significantly lower in hormonal receptor-positive patients, i.e., 55.4%, compared to pCR rates in hormonal receptor-negative patients, which were 77.5%.<sup><xref rid="R11" ref-type="bibr">11</xref></sup> Jin et al. reported that hormone receptor-positive and HER2 low/negative cases have a pCR rate ≤8%, whereas in cases of hormone receptor-negative with HER2 low and HER2 negative have pCR rates of 21.95% and 23.64%, respectively.<sup><xref rid="R12" ref-type="bibr">12</xref></sup></p>
      <p id="P21">Apart from the small sample size, another major limitation of this retrospective study was that the pathologists were uninvolved in the grossing, which could have been a potential cause of variability among them (i.e., grossing of specimens and identification of the tumor bed might be different).</p>
    </sec>
    <sec sec-type="conclusions" id="S9">
      <title>Conclusion</title>
      <p id="P22">It has been observed that there is no significant association between RCB indices and age of the patient, the largest tumor dimension, and the number of chemotherapy cycles. It can also be concluded that RCB can be reliably used to report specimens of breast cancer patients who have received prior chemotherapy.</p>
    </sec>
    <sec id="S10">
      <title>Ethical considerations</title>
      <p id="P23">Ethical clearance was taken from the Institutional Ethics Committee, and approval was given by the West Bengal University of Health Sciences, India.</p>
    </sec>
  </body>
  <back>
    <ack>
      <p>None.</p>
    </ack>
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