RESUMO
Hormone receptor status is determined primarily to identify breast cancer patients who may benefit from hormonal therapy. The current clinical practice for the testing using either Allred score or H-score is still based on laborious manual counting and estimation of the amount and intensity of positively stained cancer cells in immunohistochemistry (IHC)-stained slides. This work integrates cell detection and classification workflow for breast carcinoma estrogen receptor (ER)-IHC-stained images and presents an automated evaluation system. The system first detects all cells within the specific regions and classifies them into negatively, weakly, moderately, and strongly stained, followed by Allred scoring for ER status evaluation. The generated Allred score relies heavily on accurate cell detection and classification and is compared against pathologists' manual estimation. Experiments on 40 whole-slide images show 82.5% agreement on hormonal treatment recommendation, which we believe could be further improved with an advanced learning model and enhancement to address the cases with 0% ER status. This promising system can automate the exhaustive exercise to provide fast and reliable assistance to pathologists and medical personnel. The system has the potential to improve the overall standards of prognostic reporting for cancer patients, benefiting pathologists, patients, and also the public at large.
RESUMO
BACKGROUND Leprosy is an infection caused by Mycobacterium leprae. An extensive literature search did not reveal many reports of melioidosis in association with leprosy. CASE REPORT A 22-year-old woman, who was diagnosed with multibacillary leprosy, developed dapsone-induced methemoglobinemia and hemolytic anemia, complicated by melioidosis. Methemoglobinemia was treated with methylene blue and vitamin C. Two weeks of ceftazidime was initiated to treat melioidosis, and the patient was discharged on amoxicillin/clavulanic acid and doxycycline as melioidosis eradication therapy. However, she developed drug-induced hypersensitivity. Trimethoprim/sulfamethoxazole, as an alternative treatment for melioidosis eradication, was commenced and was successfully completed for 12 weeks. During the fifth month of multidrug therapy, the patient developed type II lepra reaction with erythema nodosum leprosum reaction, which was treated with prednisolone. Leprosy treatment continued with clofazimine and ofloxacin, and complete resolution of skin lesions occurred after 12 months of therapy. CONCLUSIONS Our case highlighted the challenges posed in managing a patient with multibacillary leprosy with multiple complications. Clinicians should be aware that dapsone-induced methemoglobinemia and hemolysis might complicate the treatment of leprosy. Our case also highlighted the safety and efficacy of combining ofloxacin and clofazimine as a leprosy treatment regimen in addition to gradual steroid dose titration in the presence of type II lepra reaction.
