Anupam Sarma
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Anupam Sarma has a total of 41 co-authors. Here are the top co-authors by number of shared publications:
- Avdhesh Kumar Rai
DBT Centre for Molecular Biology and Cancer Research, Dr Bhubaneswar Borooah Cancer Institute, Guwahati, India
3 shared publications - Rabul Saikia
National Institute of Technology Meghalaya
3 shared publications - Salam Shuleenda Devi
National Institute of Technology Meghalaya
3 shared publications - Amal Chandra Kataki
Dr B. Borooah Cancer Institute
2 shared publications - Debabrata Barmon
Dr. Bhubaneswar Borooah Cancer Institute, Guwahati, India
2 shared publications - Dimpy Begum
Department of Gynaecological oncology, BBCI, Guwahati, India
2 shared publications
Latest Publications
- 30 March 2026
- Published by Springer Nature in Indian Journal of Surgical Oncology
- Vol. 17 (4) , 893-899
Real-world Compliance to Trimodality Therapy and its Effect on Survival in Esophageal Squamous Cell Carcinoma: Insights from a High-burden Region
Trimodality treatment (neoadjuvant chemoradiotherapy followed by surgery) improves survival in esophageal squamous cell carcinoma (ESCC). However, patient compliance remains a challenge, particularly in high-burden areas like North-East India. To evaluate the compliance rate for trimodality treatment. To evaluate the reasons for non-compliance and to estimate the overall survival of the study patients. This retrospective study involved 113 patients with locally advanced, resectable ESCC treated at a tertiary care center from January 2021 to December 2022. Compliance with trimodality therapy was assessed. Reasons for non-compliance were categorized based on medical records and telephone interviews. Overall survival (OS) was analyzed using the Kaplan-Meier method and Cox regression. Compliance was calculated as the percentage of patients completing trimodality treatment. Reasons for non-compliance were identified through electronic medical records and phone interviews and shown in a pie chart. Kaplan-Meier and log-rank tests were used to assess survival, while Cox regression identified related factors. SPSS (version 29) and Excel were used for analysis, with significance set at p < 0.05. Only 48 patients (44.03%) completed the planned trimodality treatment. The main reason for non-compliance (66%) was subjective symptom relief after chemoradiotherapy, possibly due to inadequate counseling. Financial issues, disease progression, poor health, and inoperability were other factors. Patients completing treatment showed significantly better survival (1-year OS 83.3% vs. 50.8%; 3-year OS 54.3% vs. 20.3%; p<0.001). Cox regression revealed that incomplete treatment was associated with a 3.2-times higher risk of death. Other factors such as age, gender, comorbidities, and nodal status did not significantly affect survival. Compliance with trimodality treatment significantly improves survival in ESCC. Improving patient counselling, financial support, and follow-up may help increase compliance and outcomes in high-burden regions.
- 30 March 2026
- Published by Springer Nature in Indian Journal of Surgical Oncology
- Vol. 17 (4) , 893-899
Real-world Compliance to Trimodality Therapy and its Effect on Survival in Esophageal Squamous Cell Carcinoma: Insights from a High-burden Region
Trimodality treatment (neoadjuvant chemoradiotherapy followed by surgery) improves survival in esophageal squamous cell carcinoma (ESCC). However, patient compliance remains a challenge, particularly in high-burden areas like North-East India. To evaluate the compliance rate for trimodality treatment. To evaluate the reasons for non-compliance and to estimate the overall survival of the study patients. This retrospective study involved 113 patients with locally advanced, resectable ESCC treated at a tertiary care center from January 2021 to December 2022. Compliance with trimodality therapy was assessed. Reasons for non-compliance were categorized based on medical records and telephone interviews. Overall survival (OS) was analyzed using the Kaplan-Meier method and Cox regression. Compliance was calculated as the percentage of patients completing trimodality treatment. Reasons for non-compliance were identified through electronic medical records and phone interviews and shown in a pie chart. Kaplan-Meier and log-rank tests were used to assess survival, while Cox regression identified related factors. SPSS (version 29) and Excel were used for analysis, with significance set at p < 0.05. Only 48 patients (44.03%) completed the planned trimodality treatment. The main reason for non-compliance (66%) was subjective symptom relief after chemoradiotherapy, possibly due to inadequate counseling. Financial issues, disease progression, poor health, and inoperability were other factors. Patients completing treatment showed significantly better survival (1-year OS 83.3% vs. 50.8%; 3-year OS 54.3% vs. 20.3%; p<0.001). Cox regression revealed that incomplete treatment was associated with a 3.2-times higher risk of death. Other factors such as age, gender, comorbidities, and nodal status did not significantly affect survival. Compliance with trimodality treatment significantly improves survival in ESCC. Improving patient counselling, financial support, and follow-up may help increase compliance and outcomes in high-burden regions.
- Open Access
- 18 August 2025
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 23 (3) , 1-14
Educational Status Influence on Knowledge, Awareness About Breast Cancer and Practice of Breast Self-Examination Among Women of Low-Resource Setting
Purpose: Early detection through breast self-examination (BSE) provides a cost-effective method to mitigate the significant burden of breast cancer incidence and mortality in developing countries. This study aimed to examine the awareness of breast cancer symptoms and their involvement in practicing breast self-examinations. Method: A total of five hundred eighteen (n = 518) women aged 15–90 years participated in the study. The structured questionnaire included demographic characteristics, knowledge and perceptions about BSE, as well as awareness of risk factors, symptoms, and signs of breast cancer. A study conducted among 518 rural women in Assam, aged 15–90 years, evaluated their awareness and preventive behaviors related to breast cancer and breast self-examination (BSE). Result: Education significantly influenced knowledge and practice, awareness, belief in BSE's importance, and confidence in consulting doctors increased with higher education. For example, 27.7% of post-graduates practiced BSE, compared to none among illiterate participants. Logistic regression revealed that knowing about BSE and awareness of WHO-recommended BSE protocol significantly increased the likelihood of performing BSE, by 20.9% and 91.5%, respectively. Hosmer–Lemeshow test (p = 0.231) confirmed the model fit. Most participants agreed on the need for breast cancer education (96.5%) and were willing to seek medical advice (89.2%), though these were not strongly tied to education level. Conclusion: This study emphasizes the vital role of education in promoting awareness about breast cancer and practices related to BSE. Addressing the educational gaps and barriers identified in this study can improve early detection and help reduce breast cancer mortality.
- 18 August 2025
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 23 (3) , 1-14
Open AccessEducational Status Influence on Knowledge, Awareness About Breast Cancer and Practice of Breast Self-Examination Among Women of Low-Resource Setting
Purpose: Early detection through breast self-examination (BSE) provides a cost-effective method to mitigate the significant burden of breast cancer incidence and mortality in developing countries. This study aimed to examine the awareness of breast cancer symptoms and their involvement in practicing breast self-examinations. Method: A total of five hundred eighteen (n = 518) women aged 15–90 years participated in the study. The structured questionnaire included demographic characteristics, knowledge and perceptions about BSE, as well as awareness of risk factors, symptoms, and signs of breast cancer. A study conducted among 518 rural women in Assam, aged 15–90 years, evaluated their awareness and preventive behaviors related to breast cancer and breast self-examination (BSE). Result: Education significantly influenced knowledge and practice, awareness, belief in BSE's importance, and confidence in consulting doctors increased with higher education. For example, 27.7% of post-graduates practiced BSE, compared to none among illiterate participants. Logistic regression revealed that knowing about BSE and awareness of WHO-recommended BSE protocol significantly increased the likelihood of performing BSE, by 20.9% and 91.5%, respectively. Hosmer–Lemeshow test (p = 0.231) confirmed the model fit. Most participants agreed on the need for breast cancer education (96.5%) and were willing to seek medical advice (89.2%), though these were not strongly tied to education level. Conclusion: This study emphasizes the vital role of education in promoting awareness about breast cancer and practices related to BSE. Addressing the educational gaps and barriers identified in this study can improve early detection and help reduce breast cancer mortality.
- 30 January 2025
- Published by Springer Nature
- p. 3-14
Hyperparameter Tuning of Fine-Tuned VGG19 Using Sine Cosine Algorithm for Acute Lymphoblastic Leukemia Detection
- 30 January 2025
- Published by Springer Nature
- p. 3-14
Hyperparameter Tuning of Fine-Tuned VGG19 Using Sine Cosine Algorithm for Acute Lymphoblastic Leukemia Detection
- 25 September 2024
- Published by Springer Nature in Journal of Imaging Informatics in Medicine
- Vol. 38 (3) , 1334-1361
BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset
Acute leukemia is characterized by the swift proliferation of immature white blood cells (WBC) in the blood and bone marrow. It is categorized into acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML), depending on whether the cell-line origin is lymphoid or myeloid, respectively. Deep learning (DL) and artificial intelligence (AI) are revolutionizing medical sciences by assisting clinicians with rapid illness identification, reducing workload, and enhancing diagnostic accuracy. This paper proposes a DL-based novel BSNEU-net framework to detect acute leukemia. It comprises 4 Union Blocks (UB) and incorporates block feature map distortion (BFMD) with switchable normalization (SN) in each UB. The UB employs union convolution to extract more discriminant features. The BFMD is adapted to acquire more generalized patterns to minimize overfitting, whereas SN layers are appended to improve the model’s convergence and generalization capabilities. The uniform utilization of batch normalization across convolution layers is sensitive to the mini-batch dimension changes, which is effectively remedied by incorporating an SN layer. Here, a new dataset comprising 2400 blood smear images of ALL, AML, and healthy cases is proposed, as DL methodologies necessitate a sizeable and well-annotated dataset to combat overfitting issues. Further, a heterogeneous dataset comprising 2700 smear images is created by combining four publicly accessible benchmark datasets of ALL, AML, and healthy cases. The BSNEU-net model achieved excellent performance with 99.37% accuracy on the novel dataset and 99.44% accuracy on the heterogeneous dataset. The comparative analysis signifies the superiority of the proposed methodology with comparing schemes.
- 25 September 2024
- Published by Springer Nature in Journal of Imaging Informatics in Medicine
- Vol. 38 (3) , 1334-1361
BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset
Acute leukemia is characterized by the swift proliferation of immature white blood cells (WBC) in the blood and bone marrow. It is categorized into acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML), depending on whether the cell-line origin is lymphoid or myeloid, respectively. Deep learning (DL) and artificial intelligence (AI) are revolutionizing medical sciences by assisting clinicians with rapid illness identification, reducing workload, and enhancing diagnostic accuracy. This paper proposes a DL-based novel BSNEU-net framework to detect acute leukemia. It comprises 4 Union Blocks (UB) and incorporates block feature map distortion (BFMD) with switchable normalization (SN) in each UB. The UB employs union convolution to extract more discriminant features. The BFMD is adapted to acquire more generalized patterns to minimize overfitting, whereas SN layers are appended to improve the model’s convergence and generalization capabilities. The uniform utilization of batch normalization across convolution layers is sensitive to the mini-batch dimension changes, which is effectively remedied by incorporating an SN layer. Here, a new dataset comprising 2400 blood smear images of ALL, AML, and healthy cases is proposed, as DL methodologies necessitate a sizeable and well-annotated dataset to combat overfitting issues. Further, a heterogeneous dataset comprising 2700 smear images is created by combining four publicly accessible benchmark datasets of ALL, AML, and healthy cases. The BSNEU-net model achieved excellent performance with 99.37% accuracy on the novel dataset and 99.44% accuracy on the heterogeneous dataset. The comparative analysis signifies the superiority of the proposed methodology with comparing schemes.
- 17 April 2024
- Published by Springer Nature in SN Computer Science
- Vol. 5 (5) , 1-20
Optimized Support Vector Machine Using Whale Optimization Algorithm for Acute Lymphoblastic Leukemia Detection from Microscopic Blood Smear Images
- 17 April 2024
- Published by Springer Nature in SN Computer Science
- Vol. 5 (5) , 1-20
Optimized Support Vector Machine Using Whale Optimization Algorithm for Acute Lymphoblastic Leukemia Detection from Microscopic Blood Smear Images
- 20 August 2023
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 21 (3) , 1-6
Re-visiting the Association of Bacterial Vaginosis in Cervical Cancer: Findings of a Comparative Study with Other Gynae-Malignancies
- 20 August 2023
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 21 (3) , 1-6
Re-visiting the Association of Bacterial Vaginosis in Cervical Cancer: Findings of a Comparative Study with Other Gynae-Malignancies
- Open Access
Association of Abnormal Cytology and risk factors in Women of Assam, India
BACKGROUND To screen asymptomatic rural women for High Risk HPV DNA by CareHPV ® test and cytological screening by Papanicolaou (PAP) test. METHOD A total of Four hundred eighty (n=480) sexually active, non pregnant women in the age group of 20-70 years were included in this study. Two cervical scrap samples were collected from enrolled eligible women, one scrap sample was used for HPV testing (CareHPV®) and second for Papanicolaou (PAP) testing. Statistical analysis for testing outcome with demographic characteristics was analyzed using 95% confidence intervals (95% CI) for different variables. P-values<.05 values were considered statistically significant. RESULTS Among tobacco chewing group of women compared to non-tobacco chewing women positivity rate for high risk HPV (p-0.001) and PAP test (p-0.007) was found to be statistically significant. Alcoholic beverage consuming women group has shown 28 times higher risk of high risk HPV infection (OR-28.3; p-0.0001) compared to non-alcoholic women. Irregular menstruation was found to be significant risk factor for PAP positivity (OR-14.33; p-0.001). High risk HPV infection (p-0.02) and PAP positivity (p-0.0001) was significantly higher in cloth sanitary pad user compared to commercial sanitary pad user. We also found that >3 numbers of childbirth as a significant risk factor for hr-HPV infection (p-0.0122). CONCLUSION We conclude that among rural women of Kamrup, North-East India alcohol consumption, tobacco chewing, cloth sanitary pad reuse, >3 child birth were significantly associated with increased risk of hr-HPV infection and PAP positivity.
Open AccessAssociation of Abnormal Cytology and risk factors in Women of Assam, India
BACKGROUND To screen asymptomatic rural women for High Risk HPV DNA by CareHPV ® test and cytological screening by Papanicolaou (PAP) test. METHOD A total of Four hundred eighty (n=480) sexually active, non pregnant women in the age group of 20-70 years were included in this study. Two cervical scrap samples were collected from enrolled eligible women, one scrap sample was used for HPV testing (CareHPV®) and second for Papanicolaou (PAP) testing. Statistical analysis for testing outcome with demographic characteristics was analyzed using 95% confidence intervals (95% CI) for different variables. P-values<.05 values were considered statistically significant. RESULTS Among tobacco chewing group of women compared to non-tobacco chewing women positivity rate for high risk HPV (p-0.001) and PAP test (p-0.007) was found to be statistically significant. Alcoholic beverage consuming women group has shown 28 times higher risk of high risk HPV infection (OR-28.3; p-0.0001) compared to non-alcoholic women. Irregular menstruation was found to be significant risk factor for PAP positivity (OR-14.33; p-0.001). High risk HPV infection (p-0.02) and PAP positivity (p-0.0001) was significantly higher in cloth sanitary pad user compared to commercial sanitary pad user. We also found that >3 numbers of childbirth as a significant risk factor for hr-HPV infection (p-0.0122). CONCLUSION We conclude that among rural women of Kamrup, North-East India alcohol consumption, tobacco chewing, cloth sanitary pad reuse, >3 child birth were significantly associated with increased risk of hr-HPV infection and PAP positivity.
- Open Access
HPV and p16 expression association with 5-year survival in oral squamous cell carcinoma patients of North-East India
Background In our study, we examined the 5-year survival of OSCC patients with HPV positive or negative status along with p16 protein expression. Method A total of 72 biopsy tissue specimens from histologically confirmed oral squamous cell carcinoma (OSCC) patients were collected. HPV detection and genotyping were performed using HPV E6/E7 and HPV-type specific multiplex primer for nested-PCR. Immunohistochemistry evaluation of pl6 was conducted. SPSS statistical software (ver 20) was used for data analysis. Results High risk-HPV (hr-HPV) DNA positivity was found in 27.7% (n=20) of OSCC patients. Stage III OSCC patients were 7.80 times more likely to survive 5 years than stage IV patients (OR-7.80 CI-95%; P-0.03). Among the hr-HPV positive OSCC patients, we found that the median survival time for the 1st year (95%), 3 years (78.5%), and 5 years (38.5%) was significantly higher than that of the hr-HPV negative [1st year (78.6%), 3 years (45.2%) and 5 years (38.5%)] OSCC patients (P-0.03 The survival of male patients with hr-HPV positive OSCC is 9.75 times greater than the survival of patients with HPV negative OSCC (OR-9.75; CI-95%; P-0.05). The p16 expression level (low to overexpression) group and negative P16 expression group of OSCC patients have not demonstrated a significant association with 5-year survival. Conclusion We conclude that in OSCC cases of North-East India, the presence of hr-HPV in OSCC cases could be a good predictor of 5-year survival rate. Expression of p16 does not appear to have any significant association with 5-year survival.
Open AccessHPV and p16 expression association with 5-year survival in oral squamous cell carcinoma patients of North-East India
Background In our study, we examined the 5-year survival of OSCC patients with HPV positive or negative status along with p16 protein expression. Method A total of 72 biopsy tissue specimens from histologically confirmed oral squamous cell carcinoma (OSCC) patients were collected. HPV detection and genotyping were performed using HPV E6/E7 and HPV-type specific multiplex primer for nested-PCR. Immunohistochemistry evaluation of pl6 was conducted. SPSS statistical software (ver 20) was used for data analysis. Results High risk-HPV (hr-HPV) DNA positivity was found in 27.7% (n=20) of OSCC patients. Stage III OSCC patients were 7.80 times more likely to survive 5 years than stage IV patients (OR-7.80 CI-95%; P-0.03). Among the hr-HPV positive OSCC patients, we found that the median survival time for the 1st year (95%), 3 years (78.5%), and 5 years (38.5%) was significantly higher than that of the hr-HPV negative [1st year (78.6%), 3 years (45.2%) and 5 years (38.5%)] OSCC patients (P-0.03 The survival of male patients with hr-HPV positive OSCC is 9.75 times greater than the survival of patients with HPV negative OSCC (OR-9.75; CI-95%; P-0.05). The p16 expression level (low to overexpression) group and negative P16 expression group of OSCC patients have not demonstrated a significant association with 5-year survival. Conclusion We conclude that in OSCC cases of North-East India, the presence of hr-HPV in OSCC cases could be a good predictor of 5-year survival rate. Expression of p16 does not appear to have any significant association with 5-year survival.
- 15 December 2022
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 21 (1) , 1-5
“Deciphering Dysmenorrhea in an Adolescent Girl with Borderline Ovarian Tumour”: A Case Report on an Accessory and Cavitated Uterine Mass (ACUM)
- 15 December 2022
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 21 (1) , 1-5
“Deciphering Dysmenorrhea in an Adolescent Girl with Borderline Ovarian Tumour”: A Case Report on an Accessory and Cavitated Uterine Mass (ACUM)
- 2 June 2015
- Published by SAGE Publications in Cancer Biomarkers
- Vol. 15 (4) , 501-505
Expression of aberrant CD markers in acute leukemia: A study of 100 cases with immunophenotyping by multiparameter flowcytometry
BACKGROUND: Acute leukemia is a heterogenous disease having diverse phenotypes. Immunophenotyping by flowcytometry is essential for diagnosis of myeloid and lymphoid subtypes. Aberrant phenotype incidence is controversial and dissimilar results have
- 2 June 2015
- Published by SAGE Publications in Cancer Biomarkers
- Vol. 15 (4) , 501-505
Expression of aberrant CD markers in acute leukemia: A study of 100 cases with immunophenotyping by multiparameter flowcytometry
BACKGROUND: Acute leukemia is a heterogenous disease having diverse phenotypes. Immunophenotyping by flowcytometry is essential for diagnosis of myeloid and lymphoid subtypes. Aberrant phenotype incidence is controversial and dissimilar results have