<?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.2021.114010</article-id><article-id pub-id-type="publisher-id">OJMI-112924</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>
 
 
  Sociodemographic and Scanographic Aspects of Primary Bronchopulmonary Cancer in a Hospital in Mali
 
</article-title></title-group><contrib-group><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="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Moussa</surname><given-names>Abdoulaye Ouattara</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>Hawa</surname><given-names>Diarra</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>Mohamed</surname><given-names>Maba Traore</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>Boubacar</surname><given-names>Mama Toure</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>Nouhoum</surname><given-names>Simpara</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>Néné</surname><given-names>Koumare</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>Mamadou</surname><given-names>Ndiaye</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>Salia</surname><given-names>Coulibaly</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>Abdoulaye</surname><given-names>Kone</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>Moussa</surname><given-names>Konate</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>Ilias</surname><given-names>Guindo</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>Konate</surname><given-names>Zakaria</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>Mamadou</surname><given-names>Bakary Coulibaly</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Seydou</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>Siaka</surname><given-names>Sidibe</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff6"><addr-line>Medical Imaging Department of CHME Luxembourg, Bamako, Mali</addr-line></aff><aff id="aff1"><addr-line>Department of Medical Imaging of the Mali Hospital, Bamako, Mali</addr-line></aff><aff id="aff3"><addr-line>Pediatric Unit at the Common Reference Health Center VI, Bamako, Mali</addr-line></aff><aff id="aff4"><addr-line>Department of Medical Imaging of the CHU of Kati, Bamako, Mali</addr-line></aff><aff id="aff5"><addr-line>Bamako Infirmary Hospital, Bamako, Mali</addr-line></aff><aff id="aff2"><addr-line>Department of Thoracic Surgery of the Mlai Hospital, Bamako, Mali</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>11</month><year>2021</year></pub-date><volume>11</volume><issue>04</issue><fpage>104</fpage><lpage>114</lpage><history><date date-type="received"><day>8,</day>	<month>September</month>	<year>2021</year></date><date date-type="rev-recd"><day>30,</day>	<month>October</month>	<year>2021</year>	</date><date date-type="accepted"><day>2,</day>	<month>November</month>	<year>2021</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>
 
 
  Summary: A malignant tumour that develops from the bronchial epithelium and then invades the lungs. It ranks third after colorectal and breast cancer. In Mali, computed tomography (CT) is the main imaging tool used at all stages of treatment. We had initiated this study with the objective of specifying the place of CT in the diagnosis of primary bronchopulmonary cancer at the hospital of Mali. 
  Method: This is a prospective and descriptive study conducted by the Medical Imaging and Thoracic Surgery departments at Mali Hospital from March 2014 to February 2015. All the patients who have benefited from a CT scan and presenting at least one histologically confirmed bronchopulmonary tumor were included. 
  Results: We were recruiting 60 patients with bronchopulmonary cancers out of 500 referred for a thoracic CT scan performed, a frequency of 12%. There was one male patient with a sex ratio of 4H/1F. The average age was 60 years. The history of smoking was 85%. The symptoms were dominated by general condition (63.33%), cough (25%) and haemoptysis (58.33%). CT scans were performed in all patients. The lesions were located more in the lower lobes (71%). The tumours were: heterogeneous tissue density (70%), spiculated contours (80%), and the histology was more non-small cell carcinoma. 
  Conclusion: The incidence of bronchopulmonary cancer is very high and its prognosis is poor at an advanced stage. The evaluative role of CT and biopsy guidance has given it a place of choice in its management. The diagnosis of certainty remains histology.
 
</p></abstract><kwd-group><kwd>Sociodemographic and Scanographic Aspects of Primary Bronchopulmonary Cancer in a Hospital in Mali</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Bronchopulmonary cancer is a malignant tumour that develops from the bronchial epithelium and subsequently invades the lungs [<xref ref-type="bibr" rid="scirp.112924-ref1">1</xref>] . Histologically, there are two main groups: non-small cell lung cancer (NSCLC), which accounts for more than 80% of cases, and small cell lung cancer (SCLC), which accounts for about 15% of cases. These two entities have different clinical, therapeutic and prognostic characteristics [<xref ref-type="bibr" rid="scirp.112924-ref2">2</xref>] . It is a real public health problem [<xref ref-type="bibr" rid="scirp.112924-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.112924-ref4">4</xref>] . Paradoxically, one of its particularities is that it is accessible to prevention since its main risk factor, smoking has been identified [<xref ref-type="bibr" rid="scirp.112924-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.112924-ref5">5</xref>] . In 2018, according to GLOBOCAN, the worldwide incidence was estimated at 2,093,876 cases (11.6% of all cancers) for an estimated 1,761,007 deaths (18.4% of all cancer deaths), making it the most deadly cancer. In West Africa in general, the incidence during the same year was estimated at 3.6 new cases per 100,000 inhabitants [<xref ref-type="bibr" rid="scirp.112924-ref6">6</xref>] . In Mali, according to data from the cancer registry, bronchopulmonary cancers represent 2% of all cancers [<xref ref-type="bibr" rid="scirp.112924-ref7">7</xref>] .</p><p>The role of CT is essential in the management of patients with bronchopulmonary cancer:</p><p>- diagnostic: initial or pre-therapeutic extension assessment;</p><p>- percutaneous biopsy guidance;</p><p>- per and post surveillance [<xref ref-type="bibr" rid="scirp.112924-ref6">6</xref>] .</p><p>CT has become one of the main medical imaging techniques. It is of major interest in the diagnosis (evaluation and monitoring) and treatment of certain stages of the disease. According to the radiological series, we are witnessing an increasingly high frequency and a late diagnosis, thus making its prognosis appalling. This is a cause for concern and invites us to take stock. We undertook this study with the aim of specifying the place of computed tomography (CT) in the diagnosis of primary bronchopulmonary cancer in the medical imaging department of the Mali hospital.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>This was a descriptive and prospective study from March 2014 to February 2015 (12 months). It took place in the medical imaging and thoracic surgery departments at Mali Hospital. It concerned all patients of any age who had received a CT scan at the Mali Hospital during the period.</p><p>All patients with histologically confirmed cancer who received a thoracic CT scan at Mali Hospital during the study period were included in the study. Patients with non-histologically confirmed bronchopulmonary cancer and patients who underwent CT scans outside the hospital in Mali were not included. The variables studied were: sociodemographic (age, sex, medical history and occupation), clinical (cough, haemoptysis and general condition), histological and scanographic (lesion characteristics, lymph node involvement and metastases).</p><p>The CT examinations were performed with a Siemens Emotion 16 Slices machine. The radiological films were printed with an AGFA DRY STAR printer.</p><p>At the reception, the patients were given a psychological preparation and the dosage of creatinemia in order to eliminate a contraindication to the injection of the iodine contrast agent 350 mg. On the day of the examination, the patient fasted for 06 hours before the examination; a catheter (18 or 20 left) was placed in the elbow. The patient was positioned supine with his arms raised above his head. The 05 mm helical acquisition is from the distal 1/2 of the neck to the adrenals. A multiplanar reconstruction in triple fenestration (mediastinal, pulmonary and bone) was principle. It was performed without and then with intravenous injection of iodine at a dose of 1 ml/kg of 350 mg iodine with a flow rate of 3 - 4 ml/second.</p><p>The trans-thoracic scan-guided biopsy was performed by appointment. After psychological and physical preparation of the patient, and comfortable installation on the table, local anaesthesia with 6 - 8 ml of lidocaine 2% at the puncture site was performed after rigorous local asepsis with BetadineR.</p><p>The puncture was performed after locating the site with the laser scanner and using a needle in place. We took at least three (03) samples (cores) immersed in formalin and taken with 14 - 18 G trocars (needles).</p><p>The duration of the biopsy varied from 25 to 40 minutes. A control chest film was taken 20 - 30 minutes after the biopsy to ensure that there was no pneumothorax.</p><p>Our data were collected on an individual survey form, radiological reports, and patient records.</p><p>The images were collected in the database of the imaging department. We took care to respect the anonymity of the patients on the images.</p><p>Data entry was done using Word 2010 and data analysis was done using SPSS 22.0.</p></sec><sec id="s3"><title>3. Results</title><p>The study population was 500 patients, among whom we recruited 60 patients with histologically confirmed bronchopulmonary cancers, i.e. a frequency of 12%. The average age was 60 years with extremes of 41 - 89 years and with a male predominance (sex ratio of 4H/1F). The medical history (ATCD) was mainly smoking (85% of them, 91% were active) and tuberculosis (5%). The average duration of exposure to tobacco was 25 years, with an average consumption of 26 packs/year. The main clinical signs found were: alteration of the general state of health (63.33%), haemoptysis (58.33%) and cough (25%). Chest X-rays showed opacity suspicious of cancer in 30.2% of cases and were normal in 19.2% of cases (<xref ref-type="table" rid="table1">Table 1</xref>). We performed a CT scan in all patients. The cancerous lesions found were of different tissue densities: single (85%), heterogeneous (86.7%), spiculated (80%) (<xref ref-type="fig" rid="fig1">Figure 1</xref>), and located more in the lower lobes of the lungs. The average size was 05 cm long axis, with heterogeneous enhancement after IV iodine (86.7%). We found suspicious adenopathies in 80% of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of patients by socio-demographic and clinical data</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Characteristic.</th><th align="center" valign="middle" >Effective (n = 60)</th><th align="center" valign="middle" >Percentage %</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Age (year)</td><td align="center" valign="middle" >Age average</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >51 - 60</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >38.33</td></tr><tr><td align="center" valign="middle" >61 - 70</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >33.33</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >80</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Risk factors</td><td align="center" valign="middle" >Treated tuberculosis</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >Tabacco</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >85</td></tr><tr><td align="center" valign="middle" >No ACTD</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Occupation</td><td align="center" valign="middle" >Civil serviant</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >40</td></tr><tr><td align="center" valign="middle" >Housewife</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Clinic</td><td align="center" valign="middle" >Deterioration of general condition</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >63.33</td></tr><tr><td align="center" valign="middle" >Cough</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle" >Hemoptysis</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >58.33</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Histology; bronchial carcinoma</td><td align="center" valign="middle" >No to small cell</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >83.3</td></tr><tr><td align="center" valign="middle" >Small cell</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Type of biopsy sample</td><td align="center" valign="middle" >Bronchoscopy</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >66.6</td></tr><tr><td align="center" valign="middle" >Pleural puncture</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7</td></tr><tr><td align="center" valign="middle" >Percutaneous biopsy</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7</td></tr></tbody></table></table-wrap><p>patients (<xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>). The secondary lesions found were: pleural (28%) (<xref ref-type="fig" rid="fig4">Figure 4</xref>) hepatic (28%) (<xref ref-type="fig" rid="fig5">Figure 5</xref>), brain (3.33%), bone (3.33%), and splenic (1.6%). The mode of biopsy sampling for pathological examination was: trans-thoracic (33.4%) and endoscopic (66.6%). The histological type was non-small cell (83.3%) and small cell (16.7%) carcinoma (<xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of patients according to scan data</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >CT characteristic</th><th align="center" valign="middle" >Effective n = 60</th><th align="center" valign="middle" >Percentage %</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Tissue density</td><td align="center" valign="middle" >Homogeneous</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.67</td></tr><tr><td align="center" valign="middle" >H&#233;t&#233;rogeneous</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >83.33</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Number</td><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >85</td></tr><tr><td align="center" valign="middle" >Multiple</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Size</td><td align="center" valign="middle" >Less than 3 cm</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >3 - 5 cm</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >46.67</td></tr><tr><td align="center" valign="middle" >Greater than 5 cm</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >33.33</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Outlines</td><td align="center" valign="middle" >Regular</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle" >Spiculated</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >85</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Location</td><td align="center" valign="middle" >Upper lobe</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >26.67</td></tr><tr><td align="center" valign="middle" >Middle lobe</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >6.66</td></tr><tr><td align="center" valign="middle" >Lower lobe</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >81.67</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Lymph node involvement</td><td align="center" valign="middle" >N0</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >N1 + N2</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >46.67</td></tr><tr><td align="center" valign="middle" >N3</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >33.33</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Distance involvement</td><td align="center" valign="middle" >Pleurisy</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >28.33</td></tr><tr><td align="center" valign="middle" >Liver</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >28.33</td></tr><tr><td align="center" valign="middle" >Brain</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3.33</td></tr><tr><td align="center" valign="middle" >BONE</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3.33</td></tr><tr><td align="center" valign="middle" >Splenic</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.6</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Type of biopsy sample</td><td align="center" valign="middle" >Bronchoscopy</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >66.66</td></tr><tr><td align="center" valign="middle" >Pleural puncture</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.67</td></tr><tr><td align="center" valign="middle" >Percutaneous biopsy</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >66.67</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Sociodemographic Characteristics</title><p>We collected 60 patients with confirmed bronchopulmonary cancers out of 500 thoracic CT scans, i.e. a hospital frequency of 12% with a clear male predominance (sex ratio: 4H/1F). The average age of our patients was 60 years. This result is close to those of Tiadjue in Mali in 2019 (14.08), Ou&#233;draogo [<xref ref-type="bibr" rid="scirp.112924-ref8">8</xref>] , in Burkina (14.65%) but clearly higher than that of Ben Ahmed [<xref ref-type="bibr" rid="scirp.112924-ref9">9</xref>] in Algeria (1.80%).</p><p>Male sex predominated in our study (80%), this was similar to that of Tiadjue [<xref ref-type="bibr" rid="scirp.112924-ref10">10</xref>] , El Ouazzani et al. [<xref ref-type="bibr" rid="scirp.112924-ref11">11</xref>] . However, it was different from that of Ridene et al. [<xref ref-type="bibr" rid="scirp.112924-ref12">12</xref>] found a female predominance (77%). This could be explained by the fact that exposure to risk factors was not necessarily related to gender.</p><p>Civil servants accounted for 40% in our study, in contrast to the studies of Tiadjue [<xref ref-type="bibr" rid="scirp.112924-ref10">10</xref>] , who found equal proportions of retired people and housewives.</p></sec><sec id="s4_2"><title>4.2. History</title><p>In our study, smoking accounted for 85%. Active smoking was noted in 48cases and passive smoking in 03 cases. The risk factor for smoking is the same as in other studies: Tadju&#233; [<xref ref-type="bibr" rid="scirp.112924-ref10">10</xref>] , Abderrahim et al. [<xref ref-type="bibr" rid="scirp.112924-ref13">13</xref>] , Jabri [<xref ref-type="bibr" rid="scirp.112924-ref14">14</xref>] in Morocco and Ketf [<xref ref-type="bibr" rid="scirp.112924-ref15">15</xref>] in Algiers. This would explain that smoking is a risk factor for bronchopulmonary cancer. Other risk factors are also suspected such as occupational exposures (painters, welders and heavy machinery mechanics) were reported in the Ketf’s study [<xref ref-type="bibr" rid="scirp.112924-ref15">15</xref>] in Algiers. Pulmonary tuberculosis was confirmed and treated in 5.6% in our study.</p><p>This rate was lower than that of Souki et al. [<xref ref-type="bibr" rid="scirp.112924-ref16">16</xref>] who found 30% of cases of confirmed and treated pulmonary tuberculosis [<xref ref-type="bibr" rid="scirp.112924-ref15">15</xref>] .</p></sec><sec id="s4_3"><title>4.3. Clinical Signs</title><p>The main clinical signs found were: alteration of general condition (AEG) (63.33%), haemoptysis (53.33%) and cough (25%). This result was superior to that of H. El Ouazzani et al. [<xref ref-type="bibr" rid="scirp.112924-ref11">11</xref>] who found haemoptysis associated with AEG in 25% of patients. These could be explained by the late diagnosis.</p></sec><sec id="s4_4"><title>4.4. Radiographic Aspects</title><p>Chest radiography was found in 40.1% of our patients. It showed suspicious opacities in 30.2% of cases and was normal in 9.2% of cases.</p><p>This result is comparable to that of El Ouazzani et al. [<xref ref-type="bibr" rid="scirp.112924-ref11">11</xref>] who found opacities in 38% of cases. A normal chest X-ray does not formally exclude a bronchopulmonary tumour.</p></sec><sec id="s4_5"><title>4.5. CT Aspects</title><p>The role of the CT scan is to evaluate the lesion, the respectability of the tumour, the extension and to guide the trans-parietal biopsies by coring. However, PET scans are superior to conventional scans in detecting lymph node lesions and extra-brain lesions. The staging stage consists of assessing the tumour status, T, and determining whether the lesion can be completely removed by surgery. It is used to guide bronchoscopy, to determine the T descriptor, to some extent the N (lymph node) and M (metastasis) status, according to Beigelman-Aubrya, et al. [<xref ref-type="bibr" rid="scirp.112924-ref17">17</xref>] .</p><p>According to the TNM Thoracic Oncology Guidelines 8th edition, Tumour size is classified as T1 ≤ 3 cm, 3 cm &lt; T2 ≤ 5 cm, 5 cm &lt; T3 ≤ 7 cm, and T4 &gt; 7 cm.</p><p>Lymph node involvement:</p><p>N0: absence N1: homolateral peri-bronchial or peri-hilar nodes N2: homolateral or subcarinal mediastinal nodes and N3; contralateral lateral, supraclavicular, mediastinal or nodes scalene nodes.</p><p>Distant involvement:</p><p>M0: no metastasis M1: metastasis</p><p>The lung lesion was unique (85%) in all cases. We found tissue density opacities (hypo or iso dense) with irregular or spiculated contours. Tissue lesions with spiculated contours are highly suspicious of cancer until histologically proven otherwise. These are identical in other studies Souki [<xref ref-type="bibr" rid="scirp.112924-ref16">16</xref>] , Beigelman-Aubrya et al. [<xref ref-type="bibr" rid="scirp.112924-ref17">17</xref>] , AyadiI et al. [<xref ref-type="bibr" rid="scirp.112924-ref18">18</xref>] .</p><p>The contours were spiculated in 80% of cases, which is comparable to the result of Souki et al. [<xref ref-type="bibr" rid="scirp.112924-ref16">16</xref>] in whom the contours were spiculated in 60% of cases. This sign is suggestive of malignancy.</p><p>The lesions are classified into: T1 ≤ 3 cm, 3 cm &lt; T2 ≤ 5 cm, 5 cm &lt; T3 ≤ 7 cm and T4 &gt; 7 those located the size of our tumours was variable with an average of 5 cm long axis. The sizes of these lesions were: less than 3 cm (20%), those between 3 - 5 cm (46.67%) and those between 5 cm and 07 cm (33.33%). This result is opposed to that of Souki et al. [<xref ref-type="bibr" rid="scirp.112924-ref16">16</xref>] who found a mean size of 2 cm long axis.</p><p>The tumours were associated with lymph node involvement (N): mediastinal in 80% of cases. Our stages were N0 (20%) N1 + N2 (46.67%) and N3 (33.33%). Our figures were higher than those of H. El Ouazzani et al. [<xref ref-type="bibr" rid="scirp.112924-ref11">11</xref>] who found mediastinal adenopathy in 37% of cases. The high percentage of mediastinal adenopathy in our series could be explained by the fact that our patients were seen in advanced stages. These opacities were also associated with pleurisy in 28% of cases.</p><p>The lung lesion was unique in 85% of cases.</p><p>The lesions predominated in the lower lobes in our series in 71% of cases. This was in contrast to Clemence [<xref ref-type="bibr" rid="scirp.112924-ref19">19</xref>] in whom lesions predominated in the upper lobes in 73% of cases.</p><p>Distant metastases were 28.3% in our series. This rate is lower than that of A. Pr&#233;vost et al. [<xref ref-type="bibr" rid="scirp.112924-ref20">20</xref>] who found 37% of cases. This indicates a late diagnosis of the disease.</p></sec><sec id="s4_6"><title>4.6. Histological Type</title><p>Bronchoscopy and sampling procedures will be more effective if guided by CT. The diagnosis of cancer requires histology, and core biopsy material is preferable to fine needle cytology [<xref ref-type="bibr" rid="scirp.112924-ref7">7</xref>] . Our study found non-small cell lung carcinoma in 50 patients (83.3%). Carcinoma is the most frequent histological type, especially in smokers. This is supported by the literature: H. El Ouazzani [<xref ref-type="bibr" rid="scirp.112924-ref11">11</xref>] , Ketfi [<xref ref-type="bibr" rid="scirp.112924-ref15">15</xref>] in Ben-Alla [<xref ref-type="bibr" rid="scirp.112924-ref21">21</xref>] in Morocco in 2015, Algiers, and in Moussoki [<xref ref-type="bibr" rid="scirp.112924-ref22">22</xref>] in France in 2014.</p><p>Thes limits of our study:</p><p>- We had one case of allergy to the contrast medium, one case of extravasation of the contrast medium by venous perforation.</p><p>- CT scan failure over a period of 04 weeks.</p><p>- CT biopsy could only be performed in 40 cases.</p><p>- Lack of histology results in some patients.</p><p>- The high cost of trans-thoracic biopsies.</p><p>- A case of pneumothorax in an emphysematous patient was referred to the emergency department.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>The frequency of bronchopulmonary cancer diagnosed at an advanced stage (at least stage II) is very high. The evaluative role of the CT scan and biopsy guidance has given it a place of choice in its management. The diagnosis of certainty remains histology.</p></sec><sec id="s6"><title>Author Approval</title><p>All authors agree to the submission of this article.</p></sec><sec id="s7"><title>Consent</title><p>For this work, we received the consent of the patient; that of the department head and the director of the H&#244;pital du Mali.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors have declared no conflicts of interest.</p></sec><sec id="s9"><title>Cite this paper</title><p>Camara, M.A., Ouattara, M.A., Diarra, H., Traore, M.M., Toure, B.M., Simpara, N., Koumare, N., Ndiaye, M., Coulibaly, S., Kone, A., Konate, M., Guindo, I., Zakaria, K., Coulibaly, M.B., Coulibaly, S. and Sidibe, S. (2021) Sociodemographic and Scanographic Aspects of Primary Bronchopulmonary Cancer in a Hospital in Mali. 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