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Record W2125956932 · doi:10.4021/wjon2010.05.209w

Soft Tissue Metastases as the First Clinical Manifestation of Squamous Cell Carcinoma of the Esophagus: Case Report

2010· article· en· W2125956932 on OpenAlexvenueno aff
Manish Chand

Bibliographic record

VenueWorld Journal of Oncology · 2010
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEsophagusSoft tissueMalignancyRadiologyAdenocarcinomaBiopsyCarcinomaPathologyCancerSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Soft tissue metastases are an uncommon presenting feature for primary solid tumours. This case highlights a rare presentation in which a soft tissue mass is the first clinical manifestation of a widespread disseminated malignancy of the esophagus. A 73-year-old woman presented with a soft swelling in the left upper quadrant of the abdomen arising from the anterior abdominal wall, suspicious of liposarcoma. Core biopsies revealed squamous carcinoma. Immunohistochemistry suggested the most likely diagnosis was that of metastatic carcinoma with a number of potential primary sites. Computed tomography scanning showed widespread metastatic disease, including lung, liver, kidney, omentum, subcutaneous and intramuscular lesions. The distal esophagus was noted to be circumferentially thickened. Finally, upper gastrointestinal endoscopy revealed carcinoma of the esophagus. The patient remains well awaiting esophageal stenting and palliative chemotherapy. In conclusion, it is important to be able to distinguish the origin of a soft-tissue swelling as the management will depend significantly on the histological type. Soft-tissue metastases are rarely encountered as a presenting sign of an occult cancer. Primary cancers that most commonly metastasise to soft tissues include those arising within the lung, colon and kidney. The most frequent histological diagnosis is adenocarcinoma. This case demonstrates the utility of biopsy in the investigation of soft tissue masses when the clinical presentation is unusual.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.371
Teacher spread0.340 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations6
Published2010
Admission routes1
Has abstractyes

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