Bone Marrow Evaluation of cases of Leukemia in Pathology Department, BJGMC, Pune

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Original article: Bone Marrow Evaluation of cases of Leukemia in Pathology Department, BJGMC, Pune Shingade MS, Shah RN, Sontakke AR, Puranik SC Name of Institute / College: B. J. Govt. Medical College and Sassoon General Hospital, Pune Corresponding author : Shingade MS Abstract: Introduction: Bone marrow evaluation is an important and effective way of diagnosing and evaluating primary hematologic and metastatic neoplasms as well as non-hematological disorders. Materials and methods: The present study is an observational study carried out in our institute from June 2012 to June 2014. We studied 63 cases of Bone Marrow Aspiration and Bone Marrow Biopsy received in department of pathology. Case selection was based on clinical features and supported by laboratory evidences. General particulars like age, sex and detailed clinical history was recorded for every patient. Detailed clinical history and physical examination was done as per the proforma annexed. A clinical diagnosis was made based on history and findings of physical examination. Results : On FAB classification, the most frequent type was AML-M2 found in 6 cases, followed by AML-M0, AML-M1, AML-M3 and AML-M4 found in 3 cases, 3 cases, 2 cases and 2 cases respectively out of the total 63 cases of Leukemia. There were no cases of M5, M6 and M7. In the present study, there were 2 cases of subleukemic leukemia, all were diagnosed as AML-M2 on bone marrow studies. Conclusion: In the present study, the sex wise distribution of cases showed a male dominance, found in 65.07% with the overall male : female ratio being 1.8:1. The median blast cell percentage in our study was highest for AML (60%) Keywords: FAB classification Introduction: Biopsy is of particular value in patients with Bone marrow evaluation is an important and inadequate aspirate specimens or dry taps with effective way of diagnosing and evaluating primary packed or empty marrows in acute leukemia. The hematologic and metastatic neoplasms as well as present study comprises of evaluation of bone non-hematological disorders. Bone marrow marrow aspiration and biopsy in 63 cases of evaluation is important in patients with an leukemia carried out in Department of Pathology, unexplained excess or deficiency of any peripheral BJGMC, Pune. blood cell type, splenomegaly or fever of unknown Aims and objectives: origin. A through bone marrow study involves 1) To study the age-wise distribution of leukemia. examination of peripheral blood smears, direct 2) To study the bone marrow findings in leukemia. particle and buffy coat bone marrow smears, 3) To study pattern of leukemia in our institution. trephine biopsy imprints, particle and trephine Materials and methods: biopsy sections and marrow volumetric data. The The present study is an observational study carried information obtained from the study of these out in our institute from June 2012 to June 2014. various specimens is usually complimentary. Bone We studied 63 cases of Bone Marrow Aspiration marrow aspiration and biopsy are complimentary in and Bone Marrow Biopsy received in department diagnosing cases of acute and chronic leukemia. of pathology. Case selection was based on clinical 667

features and supported by laboratory evidences. General particulars like age, sex and detailed clinical history was recorded for every patient. Detailed clinical history and physical examination was done as per the proforma annexed. A clinical diagnosis was made based on history and findings of physical examination. Inclusion criteria: Patients of all ages and sexes who had pathological diagnosis suggestive of leukemia on Bone Marrow aspiration and biopsy study from June 2012 to June 2014. Exclusion criteria: Dry tap on Bone Marrow aspiration and clotted Bone Marrow aspiration samples were excluded from the study. All the patients were evaluated with the following detailed parameters: Blood in EDTA bulb received from concerned departments was processed and complete haemogram was performed on Electronic cell counter i.e. Cellenium and Erma. Peripheral Blood Smear: PBS was obtained and was stained by Leishman stain. Peripheral smear examination - was done systematically under low power, high power and oil immersion. Bone Marrow Study: Bone Marrow Aspiration with Jamshidi needle either from iliac spine or sternum in adults and from tibia in infants was done followed by its staining and studying its morphology and cytochemical analysis.bone Marrow biopsy from iliac spine was done for studying the cellularity and architecture of the marrow and its structure. Materials- Bone marrow aspiration needle, sterile disposable syringes with needles, xylocaine, spirit, clean and dry glass slides, spreader slides, gloves, drapes, formalin, gauze, antiseptic solution scalpel, Bouin's fluid, Haematoxylin and Eosin stains, special stains MPO, PAS and Reticulin stains, wherever required. Cytochemistry: Studies with special stains like Myeloperoxidase (MPO), Periodic acid-schiff (PAS) and Non-specific Esterase (NSE) were done whenever required.morphological subtyping was done according to the French American British (FAB) classification. Other investigations: X-ray, USG, CT, MRI, Lymph node biopsy was carried out in some patients. Observation and result: The present study was carried out in our department from June 2012 to June 2014. The data collected was studied and analysed. A total of 63 cases of leukemia were studied. Out of the 63 cases, 40 cases were studied both on both Bone Marrow Aspiration and Bone Marrow Biopsy and 23 were studied only on Bone Marrow aspiration. Out of the total 63 cases diagnosed as leukemia, 27 cases (42.9%) were of ALL, 16 cases (25.4) were of AML, 16 cases (25.4) were of CML and 4 cases (6.3) were of CLL. Table 1. Distribution of cases of leukemia. Type of Leukemia Frequency Percentage Acute 43 68.25 Chronic 20 31.75 In our study, Acute Leukemia was more common compared to Chronic Leukemia. Acute Leukemia was found in 43 cases (68.25%) and Chronic Leukemia in 20 cases (31.75%). 668

Table 2. Distribution of different types of leukemia. Type of Leukemia Frequency Percentage ALL 27 42.9 AML 16 25.4 CML 16 25.4 CLL 4 6.3 Total 63 100.0 In our study, Acute Lymphoblastic Leukemia was the commonest finding and was seen in 27 cases (42.9%). followed by Acute Myeloid Leukemia and Chronic Myeloid Leukemia found in 16 cases (25.4%) each and Chronic Lymphocytic Leukemia in 4 cases (6.3%). 30 Distribution of different types of leukemia 25 20 15 10 5 0 ALL AML CML CLL Graph 1. Distribution of different types of Leukemia. 669 668

The 63 cases were further typed with the help of FAB classification for Leukemia. Table 3. Distribution of different types of ALL by FAB classification: Type of Leukemia Frequency Percentage ALL-L1 11 40.74 ALL-L2 13 48.15 ALL-L3 3 11.11 Total 27 100 On FAB classification, the most frequent type was ALL-L2 found in 13 cases (48.15%) followed by ALL-L1 and ALL-L3 found in 11 cases (40.74%) and 3 cases (11.11%) respectively. Table 4. Distribution of different types of AML by FAB classification: Type of Leukemia Frequency Percentage AML-M0 3 18.75 AML-M1 3 18.75 AML-M2 6 37.50 AML-M3 2 12.50 AML-M4 2 12.50 Total 16 100 On FAB classification, the most frequent type was AML-M2 found in 6 cases, followed by AML-M0, AML-M1, AML-M3 and AML-M4 found in 3 AML on the basis of massive splenomegaly on systemic examination, increased Platelet count and presence of basophilia on Peripheral smear cases, 3 cases, 2 cases and 2 cases respectively examination and presence increased out of the total 63 cases of Leukemia. There were no cases of M5, M6 and M7. In the present study, there were 2 cases of subleukemic leukemia, all were diagnosed as AML-M2 on bone marrow studies. We also had 3 cases of CML in Blast crisis out of 16 cases of CML. They were distinguished for megakaryocytes on Bone marrow examination. Also, all the cases had increased fibrosis on Reticulin stain performed on Bone marrow Biopsy. In our study, Chronic Leukemia was found in the higher age group compared to acute leukemia. The median age group for chronic leukemia (50 years) is higher compared to acute leukemia (21 years). Table 5. Median age affected in different types of leukemia. Type Median Age (in years) ALL 15.5 AML 45.5 CML 40.5 CLL 61 670 669

years). In our study, the median age affected in ALL was the lowest (15.5 years) and in CLL was the highest (61 Table 6. Distribution of cases according to sex: Sex Acute Chronic Total Percentage Female 14 8 22 34.92 Male 29 12 41 65.08 Total 43 20 63 100.0 In our study, the sex wise distribution of cases in acute and chronic cases of leukemia showed a male dominance. We found male distribution in 41 cases (65.07%) and female in 22 cases (34.93%) out of 63 cases Graph 2. Distribution of cases according to sex. Table 7. Distribution of cases of different types of leukemia according to sex: Frequcncy(%) Type Male Female ALL 19 (70.37) 8 (29.63) AML 10 (62.5) 6 (37.5) CML 10 (62.5) 6 (37.5) CLL 2 (50) 2 (50) In our study, we found male dominance in ALL, AML and CML whereas in CLL, an equal distribution of male and female cases was noted. Overall Male:Female ratio was 1.8:1. Table 8. Findings of Median Blast % found in different types of leukemia. Type of Leukemia Median Blast cell % ALL 40 AML 60 CML 8 CLL 35 (8%). The median blast cell percentage in our study was highest for AML (60%) and the lowest for CML Table 9. Findings of MPO stain on Acute Leukemia cases MPO Lymphoid Myeloid Frequency Absent 27 0 27 Present 0 16 16 Total 27 16 43 671 668

In our present study, MPO stain was positive in 16 cases (100%) of AML and was negative in all the 27 cases (100%) of ALL. Table 10. Findings of PAS stain on Acute Leukemia cases PAS Lymphoid Myeloid Frequency Absent 9 15 24 Present 18 1 29 Total 27 16 43 In the present study, PAS stain was positive in 18 cases (66.67%) of ALL and was also positive in 1 case (6.25%) of AML. PAS stain was negative in 9 cases (33.33%) cases of ALL and 15 cases (93.75%) of AML. In the present study, NSE stain was positive in 2 cases (100%) of AML M4. In the present study, Reticulin stain was performed on the Bone Marrow biopsies. All the cases were graded as 1-2 on Reticulin Stain except 3 cases of CML(Blast crisis) which showed Grade 3 on Reticulin stain. Table 11. Findings of Iron stores by Perl s Stain on Bone marrow aspiration and Bone Marrow Biopsy. Type Normal iron stores (2+ to 3+) Reduced iron stores (0+ to 1+) ALL 22 5 AML 12 4 CML 14 2 CLL 4 0 Total 52 (82.53%) 11 (17.47%) In our present study, the iron stores on Perl s stain were normal in 52 cases (82.53%) out of the total 63 cases of leukemia. Discussion: This study was carried out on 63 cases admitted in our institute from June 2012 to June 2014 for the evaluation of leukemia. Table 12. Comparison of Studies of Distribution of cases of leukemia. Study Year Acute Chronic Total D'Costa G G, et a 1 1984 140 102 242 Kulshrestha R, et al 2 2002 121 75 196 Laishram R, et al 3 2011 88 15 103 Present Study 2014 43 20 63 669 672

D Costa, et al (1984), 1 Kulshrestha R, et al (2002), 2 Laishram R, et al (2011), 3 in their studies found out 140 cases (57.85%), 121 cases (61.73%) and 88 cases (85.43%) respectively and observed a larger number of cases of acute leukemia over chronic leukemia. In present study, out of 63 cases of leukemia, 43 cases (68.25%) were of acute leukemia and 20 cases (31.75%) were of chronic leukemia. There was a higher frequency of Acute leukemia in our institution. The present study is comparable to studies by D Costa et al (1984) 1, Kulshrestha R et al (2002) 2, Laishram R, et al (2011) 3 who also had a similar finding. Table 13. Comparison of studies of frequency of different types of leukemia Study Year ALL AML CML CLL Kulshrestha R, et al 2 2002 39 56 69 6 Laishram R, et al 3 2011 34 54 13 2 Present 2014 27 16 16 4 Kulshretha R, et al(2002) 2 in their study found out cases diagnosed as CLL. The finding of highest largest number of cases diagnosed as CML and number of cases as ALL was because of the highest lowest number of cases diagnosed as CLL. number of samples obtained from the age group of Laishram R, et al (2011) 3 in their study found out 0-20 years. The finding of the lowest number of largest number of cases diagnosed as AML and cases as CLL is comparable to studies by lowest number of cases diagnosed as CLL. Kulshretha R, et al(2002) 2 and Laishram R, et al In the present study we found out largest number of (2011) 3. cases diagnosed as ALL and lowest number of Table 14. Comparison of Studies of distribution of cases of ALL on FAB classification. Study Year L1 L2 L3 Total Kulshrestha R, et al 2 2002 15 23 1 39 Preethi CR 4 2008 0 13 0 13 Laishram R, et al 3 2011 4 28 2 34 Present 2014 11 13 3 27 Kulshrestha R,et al (2002) 2 in their study found out ALL-L2 to be the commonest subtype of ALL present in 23 cases (58.97%) out of 39 cases of ALL. Preethi CR,et al (2008) 4 in their study found out ALL-L2 to be the commonest subtype of ALL present in 13 cases (100%) out of 13 cases of ALL. Laishram R, et al (2011) 3 in their study found out ALL-L2 to be the commonest subtype of ALL present in 28 cases (82.4%) out of 34 cases of ALL. 673 667

In the present study we found out ALL-L2 to be commonest subtype of AML present in 13 cases (40.74%) out of 27 cases of ALL. The finding in our study is comparable to the studies by Kulshrestha R,et al (2002) 2, Preethi CR,et al (2008) 4 and Laishram R, et al (2011). 3 Table 15. Comparison of Studies of distribution of cases of AML on FAB classification. Study Year M0 M1 M2 M3 M4 M5 M6 M7 Total Kulshrestha R, et al 2 2002 0 5 30 13 3 4 1 0 56 Preethi CR 5 2008 0 10 22 3 11 4 0 0 50 Laishram R, et al 3 2011 4 5 15 21 5 1 3 0 54 Present 2014 3 3 6 2 2 0 0 0 16 Kulshrestha R,et al (2002) 2 in their study found out AML-M2 to be the commonest subtype of AML present in 30 cases (53.57%) out of 56 cases of AML. Preethi CR,et al (2008) 5 in their study found out AML-M2 to be the commonest subtype of AML present in 22 cases (44%) out of 50 cases of AML. Laishram R, et al (2011) 3 in their study found out AML-M3 to be the commonest subtype of AML present in 21 cases (38.9%) out of 54 cases of AML. In the present study we found out AML-M2 to be commonest subtype of AML present in 16 cases (37.50%) out of 63 cases of AML and is comparable to the study by Kulshrestha R,et al (2002). 2 Table 16. Comparison of Studies of median age found in different types of leukemia. Study Year Median Age(years) ALL AML CML CLL Idris M, et al 6 2001 7 26 22 56 Rathee R, et al 7 2012 22 28 26 58 Hossain MS, et al 8 2012 27 35 40 60 Present 2014 15.5 45.5 40.5 61 Idris M,et al (2001) 6 in their study, found the median age affected in ALL was the lowest (7 years) and that in CLL was the highest (56 years). Rathee R,et al (2012) 7 and Hossain MS,et al (2012) 8 in their study, also found the median age affected in ALL was the lowest (22 and 27 years respectively) and that in CLL was the highest (58 and 60 years respectively). In the present study, the median age affected was found to be lowest in ALL (15.5 years) and highest in CLL (61 years). This finding in our study is comparable to studies Idris M,et al (2001) 6, Rathee R,et al (2012) 7 and Hossain MS, et al (2012). 8 674 667

Table 17. Comparison of Studies according to percentage sex wise distribution: Study Year Male Female Idris M, et al 6 2001 56.66 43.34 Babatunde A, et al 9 2005 56.2 43.8 Hossain MS,et al 8 2012 69.2 30.8 Present Study 2014 65.08 34.92 Idris M,et al (2001) 6,Babatunde A, et al (2005) 9 and Hossain MS, et al (2012) 8, in their studies found a male dominance in the distribution of cases In the present study, a male dominance was found in the distribution of cases (65.08%) and is comparable with the studies of Idris M,et al comprising of 56.66%, 56.2%, 59.83% and 69.2% (2001) 6,Babatunde A, et al (2005) 9 and Hossain respectively. MS, et al (2012). 8 Table 18. Comparison of Studies according to percentage sex wise distribution of Acute and Chronic leukemia. Percentage Study Year Sex Acute Chronic Kulshretha R, et al 2 2002 Male 58.67 73.33 Female 41.33 26.67 Rathee R, et al 7 2012 Male 62.6 71.4 Female 37.4 28.6 Present 2014 Male 67.44 60 Female 32.56 40 Kulshretha R, et al (2002) 2 in their study found a male dominance in both acute (58.67%) and chronic leukemia (73.33%). Rathee R, et al (2012) 7 in their study also found a male dominance in both acute (62.6%) and chronic leukemia (71.4%). In the present study, a male dominance was found in both acute (67.44%) and chronic leukemia (60%) and is comparable to studies by Kulshretha R, et al (2002) 2 and Rathee R, et al (2012). 7 675 668

Table 19. Comparison of Studies according to sex wise distribution of different types of leukemia. Study Year Frequency(%) Type Male Female Babatunde A, et al 9 2005 ALL 10(55.55) 8(44.45) AML 10(55.55) 8(44.45) CML 26(61.90) 16(38.10) CLL 8(40) 12(60) Rathee R, et al 7 2012 Type Male Female ALL 65(58) 47(42) AML 143(65) 77(35) CML 176(69.3) 78(30.7) CLL 51(79.6) 13(20.4) Present 2014 ALL 19(70.37) 8(29.63) AML 10(62.5) 6(37.5) CML 10(62.5) 6(37.5) CLL 2(50) 2(50) Babatunde A, et al (2005) 9 and Rathee R, et al studies of Babatunde A, et al (2005) 9 and Rathee R, (2012) 7 found a male dominance in all the et al (2012). 7 However in CLL, an equal sex wise categories of leukemia. In the present study, a male dominance was found distribution of cases was noted because of a smaller sample size. in ALL, AML and CML and is comparable wit the Table 20. Comparison of Studies of Blast cell count percentage Median Blast cell % Study Year ALL AML CML CLL Rathee R,et al 7 2012 38 45 42 35 Present Study 2014 40 60 8 35 Rathee R,et al 7 in their study found out the mean Gupta N, et al (2010) 11 in their study found the iron blast percentage was highest in cases of stores to be normal in 23 of their total 26 leukemia AML(45%) cases (88.46%). The present study is comparable to the finding of In the present study the iron stores were normal on the study by Rathee R,et al 7. Shome et al (1985) 10 bone marrow and bone marrow biopsy in 56 cases and by Preethi CR (2008) 4 in their studies had PAS (82.53%). The finding in our study is comparable positivity in 20% and 38.5% cases of leukemia. to the study by Gupta N, et al (2010). 676 668

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