<?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.2023.131003</article-id><article-id pub-id-type="publisher-id">OJMI-123804</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>
 
 
  The Epidemiological, Clinical and Radiological (Echography, Mammography) Characteristics of Breast Pathologies at the Diagnostic Imaging Center (C.I.D) “Teriya” in Bamako
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ilias</surname><given-names>Guindo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Souleymane</surname><given-names>Sanogo</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>Mamadou</surname><given-names>N’diaye</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mody</surname><given-names>Abdoulaye Camara</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Adama</surname><given-names>Dao</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Youssouf</surname><given-names>Goita</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Amadou</surname><given-names>Sow</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohamed</surname><given-names>Malinke</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Salia</surname><given-names>Coulibaly</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mahamadou</surname><given-names>Diallo</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Imaging Service, Bamako Infirmary, Central Directorate of Armed Forces Health Services (DCSSA), Bamako, Mali</addr-line></aff><aff id="aff2"><addr-line>Medical Imaging Department, Luxembourg Mother-Child Hospital, Bamako, Mali</addr-line></aff><aff id="aff6"><addr-line>Medical Imaging Department, CHU Gabriel Touré, Bamako, Mali</addr-line></aff><aff id="aff5"><addr-line>TERIYA Diagnostic Imaging Center, Bamako, Mali</addr-line></aff><aff id="aff4"><addr-line>Medical Imaging Department, Mali Hospital, Bamako, Mali</addr-line></aff><aff id="aff1"><addr-line>Medical Imaging Department, CHU Pr BSS of Kati, Kati, Mali</addr-line></aff><pub-date pub-type="epub"><day>13</day><month>02</month><year>2023</year></pub-date><volume>13</volume><issue>01</issue><fpage>30</fpage><lpage>39</lpage><history><date date-type="received"><day>29,</day>	<month>November</month>	<year>2022</year></date><date date-type="rev-recd"><day>19,</day>	<month>March</month>	<year>2023</year>	</date><date date-type="accepted"><day>22,</day>	<month>March</month>	<year>2023</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>
 
 
  Breast pathology is varied, bringing together tumor and non-tumor lesions.
   Objective: To study the contribution of the ultrasound-mammography pair in the diagnosis of breast pathologies. 
  Materials and Method: This was a retrospective descriptive study, carried out over a period of 3 years (from January 2018 to December 2020) at the Diagnostic Imaging Center (C.I.D) “TERIYA” in BAMAKO. It concerned all patients who came for a mammogram/ultrasound examination of the breast. All women admitted for mammogram or breast ultrasound who were diagnosed with a breast injury during the study period were included. Incomplete records and radiological checks were not included. The variables analyzed were age, sex, clinical data, and ultrasound and mammography aspects. The devices used are: a Voluson 730 PRO ultrasound machine and a G 600T type mammography machine. 
  Results: At the end of our study, we collected 254 breast pathologies on a number of 382 women, 
  <em>i.e.</em> a frequency of 66.49%. The average age of our patients was 41 years old. The dominant clinical data were mastodynia (41.88%) and mammary nodule (21.70%). On imaging (mammo-ultrasound) the lesions predominated on the left in 36% of cases, bilateral in 28% of cases and in the upper-outer quadrants in 31.5% of cases. Tumor pathologies represented 66.54% of which 45.27% were benign mainly composed of fibro-adenoma (20.88%) and cyst (18.50%), 11.8% of suspected cases and 9.45% of cancers. Non-tumor pathologies represented 33.46%, mainly mastitis (16.14%), galactophoric dilations (11.02%) and abscesses (5.51%). These pathologies were classified in 50.3% in ACR2, 17.75% in ACR3 and 4, and in 14.20% in ACR5. Lymphadenopathy was present in 73.21% of cases.
 
</p></abstract><kwd-group><kwd>Breast Pathologies</kwd><kwd> Ultrasound-Mammography Pair</kwd><kwd> Diagnostic Imaging Center</kwd><kwd> Bamako</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Breast cancer represents a quarter of malignant tumors in women and is the leading cause of death from cancer in the female population of industrialized countries [<xref ref-type="bibr" rid="scirp.123804-ref1">1</xref>].</p><p>Complementary examinations such as ultrasound, mammography and anatomopathological examination have a place of choice in the diagnosis of breast tumors [<xref ref-type="bibr" rid="scirp.123804-ref2">2</xref>].</p><p>Mammography is the key examination in the screening and early diagnosis of breast lesions, hence the development of several methods to codify the universal reading of mammography images, including the BIRADS classification of the American College of Radiology (ACR). Breast ultrasound occupies a place of choice where mammography is not very efficient [<xref ref-type="bibr" rid="scirp.123804-ref3">3</xref>].</p><p>Most of these cancers are diagnosed at a late stage, due to economic or cultural reasons, the absence of a systematic screening policy, or insufficient exploration techniques [<xref ref-type="bibr" rid="scirp.123804-ref4">4</xref>].</p><p>According to the WHO, 2.3 million women suffer from breast cancer with 685,000 deaths worldwide, making it the most common cancer. In sub-Saharan Africa, half of the women who die of breast cancer are under 50 [<xref ref-type="bibr" rid="scirp.123804-ref5">5</xref>].</p><p>In MALI from 2008 to 2017, according to the cancer registry, breast cancer accounted for 43.38% of gynecological and breast cancers [<xref ref-type="bibr" rid="scirp.123804-ref6">6</xref>].</p><p>Many studies have been carried out in Mali in the field of breast cancer, however, to our knowledge, no study has specifically focused on the contribution of the ultrasound-mammography pair in the diagnosis of breast pathologies, hence the choice of theme. Whose objective is to study the clinical and radiological (ultrasound-mammography) aspects of breast pathologies.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>This was a retrospective descriptive study carried out at the diagnostic imaging center (C.I.D) “TERIYA” in Bamako. It took place over a period of 03 years from January 2018 to December 2020.</p><p>In this study we analyzed the following variables: age, sex, clinical data and radiological aspects (ultrasound and mammography). All patients of any age who had undergone breast imaging (mammography-ultrasound) were included. Incomplete records and follow-up examinations were not included. We used a type G 600T mammograph with frontal and external oblique views in all women and a Voluson 730 PRO ultrasound machine with a 7.5 - 10 MHz linear probe, the convex probe was used for gigantic breasts. The mammograms were read by two radiologists, the ultrasounds were made by these same readers. The BI-RADS classification of the American College of Radiology was used to classify the lesions. The diagnosis of breast pathology was made in the presence of any focal or diffuse lesion of the breast, tumor-like or not.</p><p>Data compilation was done with SPSS version 25.0 and Excel 2016 software.</p><p>Central tendency statistics, in particular the mean, and dispersion, in particular the extremes, were used for the age variable.</p><p>Ethical and deontological consideration: The collection of data was carried out after obtaining the authorization of the Head of the center concerned with respect for the anonymity of the patients and the confidentiality of the information.</p></sec><sec id="s3"><title>3. Results</title><p>At the end of our study out of a total of 1543 mammographic examinations carried out, 382 cases benefited from an additional ultrasound. We collected 254 breast pathologies out of the 382 cases, i.e. a frequency of 66.49%. The workforce was composed only of women, aged between 12 - 84 years with an average age of 41.06 years. The 35 - 44 age group was the most affected with 26.7% of cases, 18.59% were women aged 55 and over.</p><p>They came from public structures in 58% of cases (<xref ref-type="table" rid="table1">Table 1</xref>), the prescribers were mainly doctors (<xref ref-type="fig" rid="fig1">Figure 1</xref>), mastodynia was the main symptom, followed by breast nodule (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>On imaging (mammo-ultrasound) the lesions were tumoral in 66.54% and non-tumorous in 33.46%. These lesions were located in the left breast in 36% of cases, bilateral in 28% of cases (<xref ref-type="table" rid="table2">Table 2</xref>) and the upper outer quadrants were the most affected with 31.5% of cases (<xref ref-type="table" rid="table3">Table 3</xref>). Tumor pathologies were benign in</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic and clinical data</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Socio-demographic and clinical data</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Age</td></tr><tr><td align="center" valign="middle" >≤14</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.79</td></tr><tr><td align="center" valign="middle" >[15 - 24]</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >10.99</td></tr><tr><td align="center" valign="middle" >[25 - 34]</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >23.56</td></tr><tr><td align="center" valign="middle" >[35 - 44]</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >26.70</td></tr><tr><td align="center" valign="middle" >[45 - 54]</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >19.37</td></tr><tr><td align="center" valign="middle" >[55 - 64]</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >12.83</td></tr><tr><td align="center" valign="middle" >≥65</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >5.76</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Origin</td></tr><tr><td align="center" valign="middle" >Public</td><td align="center" valign="middle" >222</td><td align="center" valign="middle" >58</td></tr><tr><td align="center" valign="middle" >Private</td><td align="center" valign="middle" >160</td><td align="center" valign="middle" >42</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Clinical information</td></tr><tr><td align="center" valign="middle" >Breast nodule</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >26.70</td></tr><tr><td align="center" valign="middle" >Mastodynia</td><td align="center" valign="middle" >160</td><td align="center" valign="middle" >41.88</td></tr><tr><td align="center" valign="middle" >Breast swelling</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >7.07</td></tr><tr><td align="center" valign="middle" >Breast tingling</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >3.14</td></tr><tr><td align="center" valign="middle" >Mastitis</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >3.14</td></tr><tr><td align="center" valign="middle" >Breast discharge</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >2.88</td></tr><tr><td align="center" valign="middle" >Health check</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >8.38</td></tr><tr><td align="center" valign="middle" >Control report</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >4.71</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >2.09</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Radiological data</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Type of pathology</td></tr><tr><td align="center" valign="middle" >Tumor</td><td align="center" valign="middle" >159</td><td align="center" valign="middle" >66.54</td></tr><tr><td align="center" valign="middle" >No tumorous</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >33.46</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Topography</td></tr><tr><td align="center" valign="middle" >Right</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >35.72</td></tr><tr><td align="center" valign="middle" >Left</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >36.16</td></tr><tr><td align="center" valign="middle" >Bilateral</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >28.12</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Type of lesion</td></tr><tr><td align="center" valign="middle" >Adenofibroma</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >20.88</td></tr><tr><td align="center" valign="middle" >Cyst</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >18.50</td></tr><tr><td align="center" valign="middle" >Galactophoritis/galactocele</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >11.02</td></tr><tr><td align="center" valign="middle" >Mastitis</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >16.14</td></tr><tr><td align="center" valign="middle" >Abscess</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >5.51</td></tr><tr><td align="center" valign="middle" >Suspicious tumor</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >11.81</td></tr><tr><td align="center" valign="middle" >Malignant tumor</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >9.45</td></tr><tr><td align="center" valign="middle" >Recluse disease</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.57</td></tr><tr><td align="center" valign="middle" >Papilomatosis</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.18</td></tr><tr><td align="center" valign="middle" >Intra-mammary adenopathy</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >1.97</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Grade of lesions</td></tr><tr><td align="center" valign="middle" >ACR2</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >50.30</td></tr><tr><td align="center" valign="middle" >ACR3</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >17.75</td></tr><tr><td align="center" valign="middle" >ACR4</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >17.75</td></tr><tr><td align="center" valign="middle" >ACR5</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >14.20</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of lesions according to their topography</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Topography</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >QSI</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >4.72</td></tr><tr><td align="center" valign="middle" >QSE</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >31.50</td></tr><tr><td align="center" valign="middle" >QII</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >7.09</td></tr><tr><td align="center" valign="middle" >QIE</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >5.51</td></tr><tr><td align="center" valign="middle" >Areolar region</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >20.87</td></tr><tr><td align="center" valign="middle" >Whole breast</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >16.54</td></tr><tr><td align="center" valign="middle" >Q sup</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >5.90</td></tr><tr><td align="center" valign="middle" >Q lower</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >3.54</td></tr><tr><td align="center" valign="middle" >Q int</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.57</td></tr><tr><td align="center" valign="middle" >Q out</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >2.76</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >254</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap><p>45.27% composed mainly of fibro-adenoma (20.88%) and cyst (18.50%), suspicious in 11.8% and malignant in 9.45% of cases. Non-tumor pathologies accounted for 33.46%, mainly made up of mastitis (16.14%), galactophoric dilatations/galactoceles (11.02%) and abscesses (5.51%). According to the classification of the American College of Radiology, the pathologies were classified in 50.3% in ACR2, 17.75% in ACR3 and 4, and in 14.20% in ACR5 (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Figures 2-4 illustrate the iconographies of tumor and non-tumor pathologies.</p><p>Figures 2-4 are the iconographic illustrations that testify to breast lesions on ultrasound and mammography.</p></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Epidemiological Data</title><p>In Africa, many studies have concerned breast tumors but very few studies have been done on breast pathology in general. In Mali, this study is the first to our knowledge.</p><p>Frequency:</p><p>We carried out 1543 mammographic examinations and the mammography-ultrasound couple represented 24.76% of the examinations carried out, i.e. 382 cases.</p><p>Of these 382 (echo-mammographic examinations), we collected 254 breast pathologies, i.e. 66.49%. A study carried out in 2010 in Cameroon [<xref ref-type="bibr" rid="scirp.123804-ref7">7</xref>] gave a similar result with 65.19%, another study carried out in Abidjan in 2007 found a lower result than ours with 39.5% of breast pathologies [<xref ref-type="bibr" rid="scirp.123804-ref8">8</xref>].</p><p>These different results show us a lesional variability from one region to another but with a high frequency in all cases.</p><p>Age:</p><p>Age is considered to be one of the most important risk factors for breast cancer.</p><p>The most represented age group in our series was 35 - 44 with 26.70%. The average age was 41.06 years with extremes ranging from 12 years to 84 years. This correlates with data from the African literature, for example Zaki Amal in Morocco [<xref ref-type="bibr" rid="scirp.123804-ref9">9</xref>] found an average age of 49 years with extreme ages between 20 and 80 years, his study mainly concerned breast cancer.</p><p>Adjenou K [<xref ref-type="bibr" rid="scirp.123804-ref10">10</xref>] in Benin on a series of 80 cases had extreme ages ranging from 13 - 78 years with an average age of 34 years for benign pathologies, 52 years for pathologies suspected of malignancy.</p><p>The incidence of breast cancer has an age-dependent curve: the older the age, the greater the risk, approximately 64% of women are over 55 when their cancer is diagnosed, as evidenced by a European study [<xref ref-type="bibr" rid="scirp.123804-ref11">11</xref>]. There are, however, breast cancers occurring at a young age and about 15% to 20% of breast cancers are diagnosed before the age of 50 [<xref ref-type="bibr" rid="scirp.123804-ref9">9</xref>]. This assertion is observed in the relatively young African population like ours, Keita M. [<xref ref-type="bibr" rid="scirp.123804-ref12">12</xref>] in 2018 obtained 14% of breast cancer in those under 35 years old out of a series of 695 cases. Young age is therefore not a necessarily low risk factor, it is necessary for us health professionals in developing countries to make every effort to evolve towards the search for genetic factors in order to better fight the scourge.</p></sec><sec id="s4_2"><title>4.2. Clinical Data</title><p>More than half of the examination requests came from public structures with 58.38% of the cases. This is explained on the one hand by the fact that consultations are less expensive in public structures than in private ones and on the other hand by the high frequency and availability of specialists in public structures.</p><p>Most prescribers were physicians with 347 cases (90.84%). This is explained by the fact that the breast examination is a gynecological examination and most patients are consulted by doctors specializing in gynecology and obstetrics.</p><p>Mastodynia was the most frequent clinical information with 41.88% of cases, followed by nodule in 26.70%. This same predominance of clinical data was found with 68.75% by Adjenou K [<xref ref-type="bibr" rid="scirp.123804-ref10">10</xref>]. As for Zaki A [<xref ref-type="bibr" rid="scirp.123804-ref9">9</xref>], he had the opposite with a nodule frequency of 84%. This is explained by the fact that our study and that of Adjenou K focused on all breast pathologies while that of Zaki [<xref ref-type="bibr" rid="scirp.123804-ref9">9</xref>] only focused on breast tumors that can evolve silently. It would be useful in areas where diagnostic means are difficult to access to focus on awareness and education in breast self-examination, which remains a means of preventing breast tumours.</p></sec><sec id="s4_3"><title>4.3. Radiological Data</title><p>Topography of pathologies:</p><p>The seat varies according to the studies. The upper outer quadrant is the most frequent site of malignant breast tumors with 37.55% of cases [<xref ref-type="bibr" rid="scirp.123804-ref13">13</xref>]. This topography is explained by the ever-increasing quantity of glandular tissue in the central and upper-external part [<xref ref-type="bibr" rid="scirp.123804-ref13">13</xref>]. In our series, the lesions were in the left breast in 36% of cases, bilateral in 28% of cases and in the upper outer quadrant in 31.5% of cases. This predominance has been described in the European literature [<xref ref-type="bibr" rid="scirp.123804-ref14">14</xref>] which finds 51.9% on the left and 44.9% in the upper outer quadrant. On the other hand, in another African series, the quadrants (infero-internal and superior-external) each shared 24.3% and the right breast was the most affected [<xref ref-type="bibr" rid="scirp.123804-ref1">1</xref>].</p><p>The type of pathology:</p><p>Breast pathologies are varied, mainly grouping together tumoral lesions, dystrophic lesions and inflammatory lesions. They are dominated by benign pathologies as evidenced by the different series. Tumor pathologies represented 66.54% in our series among them 45.27% were benign, 11.8% suspicious and 9.45% were malignant. Non-tumor pathologies represented 33.46%, mainly made up of mastitis (16.14%), galactophoric dilatations (11.02%) and abscesses (5.51%).</p><p>This predominance of benign pathology was found in the literature, a similar study carried out in Benin by Adjenou K [<xref ref-type="bibr" rid="scirp.123804-ref10">10</xref>] showed that 43 patients had benign pathologies, namely: 37% fibro-adenoma, 21% solitary cysts, 16% fibrocystic mastosis, 14% fibrous dysplasia, 7% galactophoric dilatation, 2.3% post nodulectomy sequelae and 2.3% abscess. 17/60 or 28.33% had pathologies suspected of malignancy.</p><p>Another study done in Abidjan in 2007 by Taday Moussa [<xref ref-type="bibr" rid="scirp.123804-ref7">7</xref>] found in a series of 147 cases, 89 normal cases (60.5%), 41 cases of benign pathologies (27.8%) and 17 cases of malignant pathologies (11.7%).</p><p>Classification of lesions:</p><p>In our series we found: 50.3% of lesions classified ACR2, 17.75% ACR3 and 4, and 14.20% ACR5. This result corroborates that of Guegang E. [<xref ref-type="bibr" rid="scirp.123804-ref1">1</xref>] where the lesions were classified as ACR0 (18.4%), ACR1 (36.4%), ACR2 (33%), ACR3 (1%), ACR4 (4.9%) and ACR5 (5.8%). A contrary result was obtained by Kaoutar Lagraoui [<xref ref-type="bibr" rid="scirp.123804-ref3">3</xref>] in his study with 12% ACR3, 22% ACR4 and 66% ACR5 and another result obtained by Marianne [<xref ref-type="bibr" rid="scirp.123804-ref13">13</xref>] 17% ACR (1 and 2), 5.5% ACR3 and 69.1% ACR (4 and 5). Their high ACR4/5 levels are explained by the fact that their studies only concerned breast cancers.</p><p>These results prove to us that the BI-RADS classification of lesions according to the ACR is a predictive sign.</p><p>Lymph node damage:</p><p>Lymph node exploration concerns not only the axillary hollow, but also the interpectoral region (Rotter’s lymph node), the supraclavicular hollow, the subclavicular region and, in the case of central or internal tumors, the internal mammary lymph node chain located along the intercostal spaces. The local metastasis detection rate is highly variable, thus MRI is playing an increasing role in the assessment of local extension of breast cancer, but ultrasound exploration of lymph node areas is systematic [<xref ref-type="bibr" rid="scirp.123804-ref11">11</xref>].</p><p>The adenopathies were present in 73.21% including 39.29% ipsilateral and 33.92% bilateral in our series, a similar result was observed in KEITA M [<xref ref-type="bibr" rid="scirp.123804-ref12">12</xref>] with 72.22%, the opposite results were observed in the study by Kaoutar Lagraoui [<xref ref-type="bibr" rid="scirp.123804-ref3">3</xref>] with 41% lymph node involvement and by Marianne [<xref ref-type="bibr" rid="scirp.123804-ref13">13</xref>] with 25% of cases.</p><p>Thus, in the face of any suspicion of malignancy, the radiologist suggested a cytopuncture or biopsy for histological research for better management of these patients.</p></sec></sec><sec id="s5"><title>5. The Limits and Difficulties Encountered</title><p>The main limitation is due to the retrospective nature of the study, which did not make it possible to find all the expected data, so some incomplete files were not included.</p><p>Despite these limitations, this work allowed us to appreciate the main epidemiological, clinical and radiological characteristics of breast pathologies in the center.</p></sec><sec id="s6"><title>6. Conclusions</title><p>Breast pathology is common in our region, dominated by non-tumor and benign tumor lesions with, however, a relatively high frequency of cancers. It is a female pathology of all ages.</p><p>The mastodynia and the palpable nodule are the most found clinical data. Radiology, in particular the echo-mammography couple, has made it possible to detect certain infra-clinical lesions, to properly characterize all the lesions and to sort these lesions into benign, suspicious or malignant pathologies even if the certainty is histological.</p><p>Awareness, education on self-examination of the breasts and the establishment of a systematic screening system targeting women aged 40 and over throughout the territory would make it possible to make the diagnosis of lesions infra earlier. Clinical and avoid their evolution to an advanced stage.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Guindo, I., Sanogo, S., N’diaye, M., Camara, M.A., Dao, A., Goita, Y., Sow, A., Malinke, M., Coulibaly, S. and Diallo, M. (2023) The Epidemiological, Clinical and Radiological (Echography, Mammography) Characteristics of Breast Pathologies at the Diagnostic Imaging Center (C.I.D) “Teriya” in Bamako. Open Journal of Medical Imaging, 13, 30-39. https://doi.org/10.4236/ojmi.2023.131003</p></sec></body><back><ref-list><title>References</title><ref id="scirp.123804-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Guegang, E., Moifo, B., Belley Priso, E., Sando, Z., Sandjong, I., Tebeu, P., Mahamat, M., Mboudou, E., Yomi, J., Doh, A.S. and Gonsu, F.J. (2011) Apport de la mammographie et de l’anatomopathologie dans la recherche des lésions tumorales mammaires au cours d’une campagne de dépistage et de diagnostic de masse à Yaoundé (Cameroun). Journal Africain d’Imagerie Médicale, 7, 345-414.</mixed-citation></ref><ref id="scirp.123804-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kané, S.M. 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