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Record W3014135417

A Retrospective Study of Histopathologic Patterns of Odontogenic Tumors ,CYSTS and Maxillofacial Bone Tumors Submitted to Department of Pathology,A5Year Experience at Tikur Anbessa Specialized Hospital From September 2013to August of 2018.

2018· dissertation· en· W3014135417 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldDentistry
TopicOral and Maxillofacial Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsOdontogenicMedicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The objectives of this study were to analyse, compare and contrast the demographic,
\nclinical and pathological data of odontogenic tumours , cysts and maxillofacial bone tumors seen at 
\nTikur Anbesa Hospital, Pathology department and compare with other international data as an aid
\nto clinicians in diagnosing odontogenic and maxillofacial bone lesions. 
\n Materials and Methods: This was a descriptive, retrospective study of odontogenic tumours and cysts
\nand bone lesions diagnosed from Sep 2013 - Oct 2018 at this centre. These were analyzed for age, 
\ngender, site of tumor and histopathologic typing. The odontogenic tumours were classified using the
\n2005 World Health Organization classification system. 
\n Results: From a total of 132 patient cases reviewed , only 107 were having complete records suitable
\nfor the study. Of the remaining 107 cases, 59 (55.1%) of the study subjects were males while 
\nremaining 48(44.9%) were female. M:F ratio of 1:1.2. Mean age of patients was 27.8years . The
\ncommonest age group for both neoplastic and non-neoplastic lesions were in the first and second
\ndecades. 60(56.1%) of cases were Benign, 16(15.0%) were Malignant and the rest 31(29%) were nonneoplastic.
\nMost
\n(94.4%)of
\nthe
\nbiopsy
\nspecimen
\nwere
\nreceived
\nfrom
\nMaxillofacial
\nsurgery
\nunit
\nof
\n
\nYekatit
\n12
\nHospital.
\n 
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\nOut
\nof
\nthe
\n31
\nNon-neoplastic
\ncases,
\n27(87%)
\nof
\nthe
\ncases
\nwere
\nOdontogenic
\ncysts.
\nOf
\nthese,
\n17(63%)
\n
\noccurred
\nin
\nmales
\nand
\n10(37%)
\nin females.
\nThe
\nmean
\nage
\nof
\noccurrence
\nof
\nOdontogenic
\ncysts
\nwas
\n
\n31.56
\nyears.The
\nmost
\nfrequently
\nrecognized
\nOdontogenic
\ncysts
\nwere
\nBenign
\nOdontogenic
\ncyst
\n
\n9(33.3%),
\nfollowed
\nby Dentigerous
\ncyst
\n8(29.6%),
\nOdontogenic
\nkeratocyst
\n5(18.5%)and
\nRadicular
\ncyst
\n
\n5(18.5%).
\nThe
\nmost
\ncommonly
\naffected
\nlocation
\nby Odontogenic
\ncysts
\nwere
\nMaxilla
\n17(63%)
\nfollowed
\n
\nby
\nMandible
\n9(33.3%).
\n
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\n
\nFrom
\nthe
\n60
\nbenign
\ncases,
\nthe
\ncommonest
\nbenign
\nOdontogenic
\ntumor
\nwas
\nAmeloblastoma
\n15(25%).
\n
\nThe
\nmean
\nage
\nof
\noccurrence
\nbeing
\n28.8years
\nand
\nM:F
\nratio
\nof
\n1.14:1.
\nThe
\ncommonest
\nsite
\nof
\n
\noccurrence
\nwas
\nthe
\nmandible
\n14(93.3%).
\nThe
\nsecond
\ncommonest
\nbenign
\nlesion
\nfound
\nwas
\nOssifying
\n
\nfibroma
\n12(20%).
\nThe
\nmean
\nage
\nof
\noccurrence
\nwas
\n22.9years
\n. It
\noccurred
\nin 7(58.3%)
\nof
\nmales
\nand
\n
\n5(41.7%)
\nof
\nfemales
\n&
\nboth
\nmandible
\n6(50%)
\nand
\nmaxilla
\n6(50%)
\nwere
\nequally
\ninvolved.
\n 
\n 
\n 
\nMalignant
\nlesions
\nwere
\n16(15%)
\nof
\nthe
\ntotal
\ncases.
\n12(75%)
\nwere
\nmales
\nand
\n4(25%)
\nwere
\nfemales.
\nThe
\n
\nmean
\nage
\nwas
\n29.6%
\n.7
\ncases(43.8%)occurred
\nin the
\nmaxilla,
\n6 (37.5%)
\nin
\nthe
\nmandible
\nand
\nthe
\nrest
\n
\n3(18.8%)
\noccurred
\nin Jaw(site
\nnot
\nspecified).
\nOf
\nthe
\ntotal
\n16
\ncases,
\nthere
\nwere
\n4 cases(25%)
\nof
\n
\nOsteosarcoma
\nand
\n4 cases
\n(25%)
\nof
\nPrimary
\nintraosseous
\nsquamous
\ncell
\ncarcinoma
\n.
\n
\n
\nConclusion: Odontogenic tumors, cysts and maxillofacial bone lesions show a definite geographic
\nvariation. In our study, ameloblastomas were the most frequent odontogenic tumor similar to other 
\nAfrican studies,but significant variation form studies done in Canada and Brazil. Benign fibroosseous
\nlesions
\nwere
\nthe
\nsecond
\ncommonest
\nlesion
\nwhich
\nwas
\nin contrary
\nto
\nmost
\nliteratures.
\n
\nDentigerous
\ncyst
\nwas
\nthe
\ncommonest
\ncyst
\nfollowed
\nby
\nOdontogenic
\nKeratocyst
\nand
\nRadicular
\ncysts.
\nA
\n
\ndefinitive
\ndiagnosis
\ncan
\nbe
\nmade
\non
\nthe
\nbasis
\nof
\nclinical
\nradiological,
\nand
\nhistological
\nfindings.
\n
\nKnowledge
\nof
\nthe
\nbiological
\nand
\nhistological
\nbehavior
\nof
\nthese
\nlesions
\nis
\nrequired
\nfor
\ntheir
\nearly
\n
\ndetection
\nand
\neffective
\ntreatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.276
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
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