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Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects

Alsalem MA, Zaidan AA, Zaidan BB, Hashim M, Albahri OS, Albahri AS, et al.

J Med Syst, 2018 Sep 19;42(11):204.
PMID: 30232632 DOI: 10.1007/s10916-018-1064-9

This study aims to systematically review prior research on the evaluation and benchmarking of automated acute leukaemia classification tasks. The review depends on three reliable search engines: ScienceDirect, Web of Science and IEEE Xplore. A research taxonomy developed for the review considers a wide perspective for automated detection and classification of acute leukaemia research and reflects the usage trends in the evaluation criteria in this field. The developed taxonomy consists of three main research directions in this domain. The taxonomy involves two phases. The first phase includes all three research directions. The second one demonstrates all the criteria used for evaluating acute leukaemia classification. The final set of studies includes 83 investigations, most of which focused on enhancing the accuracy and performance of detection and classification through proposed methods or systems. Few efforts were made to undertake the evaluation issues. According to the final set of articles, three groups of articles represented the main research directions in this domain: 56 articles highlighted the proposed methods, 22 articles involved proposals for system development and 5 papers centred on evaluation and comparison. The other taxonomy side included 16 main and sub-evaluation and benchmarking criteria. This review highlights three serious issues in the evaluation and benchmarking of multiclass classification of acute leukaemia, namely, conflicting criteria, evaluation criteria and criteria importance. It also determines the weakness of benchmarking tools. To solve these issues, multicriteria decision-making (MCDM) analysis techniques were proposed as effective recommended solutions in the methodological aspect. This methodological aspect involves a proposed decision support system based on MCDM for evaluation and benchmarking to select suitable multiclass classification models for acute leukaemia. The said support system is examined and has three sequential phases. Phase One presents the identification procedure and process for establishing a decision matrix based on a crossover of evaluation criteria and acute leukaemia multiclass classification models. Phase Two describes the decision matrix development for the selection of acute leukaemia classification models based on the integrated Best and worst method (BWM) and VIKOR. Phase Three entails the validation of the proposed system.

Matched MeSH terms: Leukemia/diagnosis*
An image processing application for the localization and segmentation of lymphoblast cell using peripheral blood images

Madhloom HT, Kareem SA, Ariffin H

J Med Syst, 2012 Aug;36(4):2149-58.
PMID: 21399912 DOI: 10.1007/s10916-011-9679-0

An important preliminary step in the diagnosis of leukemia is the visual examination of the patient's peripheral blood smear under the microscope. Morphological changes in the white blood cells can be an indicator of the nature and severity of the disease. Manual techniques are labor intensive, slow, error prone and costly. A computerized system can be used as a supportive tool for the specialist in order to enhance and accelerate the morphological analysis process. This research present a new method that integrates color features with the morphological reconstruction to localize and isolate lymphoblast cells from a microscope image that contains many cells. The localization and segmentation are conducted using a proposed method that consists of an integration of several digital image processing techniques. 180 microscopic blood images were tested, and the proposed framework managed to obtain 100% accuracy for the localization of the lymphoblast cells and separate it from the image scene. The results obtained indicate that the proposed method can be safely used for the purpose of lymphoblast cells localization and segmentation and subsequently, aiding the diagnosis of leukemia.

Matched MeSH terms: Leukemia/diagnosis
Fulltext Congenital leukaemia--a case report

Lee KT

Med J Malaysia, 1991 Sep;46(3):218-20.
PMID: 1839915

Congenital leukaemia which is characterised by proliferation and extrahaemopoietic infiltration of immature leucocyte precursor cells is a rare disorder encountered in the neonatal period. Although more than 100 cases of congenital leukaemia have been reported in the literature, the experience of most general paediatricians with this condition is very likely to be limited. Thus a patient presenting with congenital leukaemia admitted to Alor Star General Hospital is reported.

Matched MeSH terms: Leukemia/diagnosis
A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open challenges and recommendations

Alsalem MA, Zaidan AA, Zaidan BB, Hashim M, Madhloom HT, Azeez ND, et al.

Comput Methods Programs Biomed, 2018 May;158:93-112.
PMID: 29544792 DOI: 10.1016/j.cmpb.2018.02.005

CONTEXT: Acute leukaemia diagnosis is a field requiring automated solutions, tools and methods and the ability to facilitate early detection and even prediction. Many studies have focused on the automatic detection and classification of acute leukaemia and their subtypes to promote enable highly accurate diagnosis.
OBJECTIVE: This study aimed to review and analyse literature related to the detection and classification of acute leukaemia. The factors that were considered to improve understanding on the field's various contextual aspects in published studies and characteristics were motivation, open challenges that confronted researchers and recommendations presented to researchers to enhance this vital research area.
METHODS: We systematically searched all articles about the classification and detection of acute leukaemia, as well as their evaluation and benchmarking, in three main databases: ScienceDirect, Web of Science and IEEE Xplore from 2007 to 2017. These indices were considered to be sufficiently extensive to encompass our field of literature.
RESULTS: Based on our inclusion and exclusion criteria, 89 articles were selected. Most studies (58/89) focused on the methods or algorithms of acute leukaemia classification, a number of papers (22/89) covered the developed systems for the detection or diagnosis of acute leukaemia and few papers (5/89) presented evaluation and comparative studies. The smallest portion (4/89) of articles comprised reviews and surveys.
DISCUSSION: Acute leukaemia diagnosis, which is a field requiring automated solutions, tools and methods, entails the ability to facilitate early detection or even prediction. Many studies have been performed on the automatic detection and classification of acute leukaemia and their subtypes to promote accurate diagnosis.
CONCLUSIONS: Research areas on medical-image classification vary, but they are all equally vital. We expect this systematic review to help emphasise current research opportunities and thus extend and create additional research fields.

Matched MeSH terms: Leukemia/diagnosis*
Fulltext Leukaemia cutis presenting as leonine facies

Fadilah SAW, Alawiyah AAR, Amir MAL, Cheong SK

Med J Malaysia, 2003 Mar;58(1):102-4.
PMID: 14556333

Acute leukaemia may rarely present as diffuse papules, nodules and plaques forming leonine facies. Leukaemia cutis generally carries a poor prognosis, and responds less well to chemotherapy. We described a case of acute myelomonocytic leukaemia presenting as leonine facies as a result of extensive cutaneous infiltration. The patient did not achieve haematological remission following standard induction chemotherapy and succumbed 6 weeks after the diagnosis was made.

Matched MeSH terms: Leukemia/diagnosis*
Prognostic significance of retinopathy at presentation in adult acute leukemia

Reddy SC, Quah SH, Low HC, Jackson N

Ann Hematol, 1998 Jan;76(1):15-8.
PMID: 9486919

Retinal changes are common in adult acute leukemia patients at presentation, but their prognostic significance is controversial. A 5-year study has been carried out with newly diagnosed acute leukemia patients aged 12-77 years. Seventy-seven cases (49 AML, 28 ALL) were studied prospectively for the presence of intraretinal hemorrhages (IRH), white-centered hemorrhages, cotton-wool spots, and macular hemorrhages. They were treated according to standard chemotherapy protocols, and then achievement of complete remission (CR) and the duration of overall survival (OS) were compared between the groups with and without these different retinal features. No association was found between the presence of any retinal abnormality and CR induction rate, although there was a trend to a lower CR rate among patients with IRH. The median OS of those with IRH was 72 days, compared with 345 days among those without IRH (p=0.002). A WBC at presentation greater than 50x10(9)/l and age greater than 40 years were also associated with shorter OS (p<0.0001 and p=0.0045, respectively). However, after regression analysis, IRH remained statistically significant as a poor prognostic indicator (p=0.01). We conclude that the presence of IRH is an indicator of poor prognosis in acute leukemia.

Matched MeSH terms: Leukemia/diagnosis
Rosline Hassan: building the future of haemato-pathology in Malaysia

Burki TK

Lancet Haematol, 2021 Aug;8(8):e551.
PMID: 34329575 DOI: 10.1016/S2352-3026(21)00215-5
Matched MeSH terms: Leukemia/diagnosis