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Record W2529632792 · doi:10.1007/s11999-016-5117-4

CORR Insights®: Are Biopsy Tracts a Concern for Seeding and Local Recurrence in Sarcomas?

2016· letter· en· W2529632792 on OpenAlexaff
Michelle Ghert

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2016
Typeletter
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsMedicineBiopsyOpen biopsyRadiologySurgeryCore biopsySoft tissueCancer

Abstract

fetched live from OpenAlex

Where Are We Now? For patients with a bone or soft-tissue sarcoma, the critical step in directing treatment and determining prognosis is a tissue biopsy. Biopsies are commonly done by core needle biopsy with radiological assistance (ultrasound or CT scan), or by open surgical biopsy. Both methods generally provide sufficient material to determine a diagnosis, although open biopsy is more likely to do so at the cost of greater morbidity [1, 12]. Once a diagnosis is obtained and the definitive surgical resection is planned, the surgeon must decide whether or not to resect the biopsy tract along with the tumor. Due to the larger exposure and higher volume of exposed tumor tissue in surgical biopsies compared to needle biopsies, the risk for biopsy tract seeding with tumor cells is higher for open biopsies than for core needle biopsies. Fortunately, open-biopsy tracts are generally easy to see and resect; for this reason, and because of the increased risk of seeding associated with them, surgeons accept that open biopsy tracts should be excised at the time of the definitive tumor resection. But the need to excise core needle biopsy tracts has not been proven. In their single-center series of 180 patients, Barrientos-Ruiz and colleagues pathologically identified biopsy tract seeding in 20 of 62 open biopsies and one of 118 core biopsies. Of the 21 cases in which the biopsy tracts were contaminated, only those of the 20 open biopsies resulted in a local recurrence. In light of this, we do not need a slew of p-values to demonstrate that core needle biopsies are less likely to spill tumor cells along the biopsy tract. Since local recurrence is directly related to the adequacy of tumor removal [10], and since the risk for “leaving tumor behind” is negligible with core biopsies, it seems reasonable to conclude that core needle biopsy tracts do not require excision. The study by Barrientos-Ruiz and colleagues confirms previous findings that have indicated that excision of a core needle biopsy tract is not necessary [3, 11]. This is important because the excision of a tract that is not easily visualized, if it can be identified at all, can be challenging and can result in surgical morbidity. Given that core biopsies are, in most cases, adequate to provide a diagnosis [1], result in less morbidity, and possibly lower risk for local recurrence, it also seems a logical conclusion that open biopsies should be reserved only for cases in which a diagnosis cannot be obtained by core needle biopsy. Where Do We Need To Go? If the field is to move more definitively towards core-needle biopsies, as suggested by Barrientos-Ruiz and colleagues, it is imperative to identify the situations in which a core needle biopsy tract should be excised. Tumors considered especially “implantable” such as chondrosarcoma [5, 7] might provide an indication for biopsy tract removal. In addition, sarcomas treated with preoperative chemotherapy or radiation are less likely to have viable tumor cells in the tumor itself or biopsy tract [4, 8]. Therefore, those patients who are not treated with preoperative radiation or chemotherapy might be better candidates for biopsy tract resection. The other important questions to answer would be how to excise a biopsy tract that was created by a physician other than the surgeon who performs the definitive resection, one that is not easily seen on the skin surface, or one that involved multiple deep passes to obtain tissue from diverse areas of the tumor mass? The authors of the current study used India ink on the skin to mark the biopsy site, and planned their surgical procedures and biopsy tract excision by consulting with radiology images of the biopsy in which the biopsy tract could be identified. However, the authors relied heavily on tactile identification of the deep scar, which is unlikely to be accurate. Given such uncertainty, it seems important to develop a method to accurately identify a core needle biopsy site during surgery. How Do We Get There? Although animal models in cancer research tend to be disappointing with respect to developing effective treatment options [9], these models can be helpful in anatomical or pathologic studies. For instance, a xenograft model of implanted sarcoma subtypes could be used to determine which types of tumor are most likely to survive in and seed a biopsy tract. Given the many xenograft options [2, 5, 6] and the ability to replicate the experiments and evaluate in a blinded fashion, this approach may inform clinical decision-making. In addition, various dye or fluorescent techniques could be assessed in animals to determine the feasibility of visually marking the biopsy tract. Given the difficulties in identifying the biopsy tract itself, it may be challenging perform prospective studies comparing excision versus nonexcision of core needle biopsy tracts in different sarcoma populations in order to definitely determine the risk of biopsy tract seeding for each sarcoma subtypes. In addition, this type of research may not resonate with the orthopaedic oncology community, which for the most part, does not routinely excise core needle biopsy tracts [3, 11], and thus may not be willing to participate in such a study. Until the high-risk cases for biopsy seeding can be more-convincingly identified and the method of biopsy tract identification can be developed, orthopaedic oncology surgeons will continue to practice based on the current available retrospective evidence (such as that provided by Barrientos-Ruiz and colleagues), clinical experience and expertise, and on patient preferences.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.091
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0910.023

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 head0.198
GPT teacher head0.449
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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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Citations2
Published2016
Admission routes1
Has abstractyes

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