Laterality of Pancreatic Metastases from Renal Cell Carcinoma: An Anatomical Perspective from the Left Kidney and Tail of the Pancreas
Bibliographic record
Abstract
Introduction Surgical findings have shown left kidney renal cell carcinoma (RCC) spreads to the pancreas in an isolated fashion. The pancreas is not a common metastatic site for cancers known to spread via the systemic circulation or lymphatics so no anatomical explanation for these findings has been described. Current literature dictates that rapidly growing neoplasms can transgress renal fascial planes. We hypothesize that there is both a lymphatic and vascular track traversing and within Gerota's fascia which provides local communication between the left kidney and tail of the pancreas. The lymphatic and vascular systems in the perirenal and pararenal spaces are undocumented. Objectives The objective of this study is to propose an anatomical explanation for the spread of RCC from the left kidney to the proximal tail of the pancreas and establish its laterality in regards to preferential metastatic spread. Methods Four fresh‐frozen cadaveric specimens and 20 fixed cadaveric specimens are in the process of retroperitoneal dissection. Left sided perirenal and pararenal lymphatic vessels and lymph nodes will be identified using GEWF (glacial acetic acid, ethanol, distilled water, and formaldehyde) and immunohistochemistry; monoclonal antibody D2–30 (a lymphatic endothelial marker). Vasculature will be identified under a surgical microscope and further characterized using immunohistochemistry; polyclonal antibody CD31(a pan‐endothelial marker). A chart review of patients with RCC metastasis (from the London Health Sciences Centre, London Ontario) is currently being developed into a retrospective case‐control study to determine frequency of RCC metastasis to the pancreas. Results Dissection of fresh‐frozen cadavers has revealed vascular bundles that emerge from the fibrous kidney capsule to enter the fat‐filled perirenal space. These bundles contain arteries, veins and lymphatics. Microdissection has revealed a high concentration of these vascular networks in the superior pole of the left kidney, converging on the left adrenal gland. These networks are also seen to traverse the perirenal space, contained within Gerota's fascia. Small venules are seen piercing Gerota's fascia and running within this multilaminar connective tissue. We predict that the chart review will show left kidney tumours metastasizing more often to the tail of the pancreas possibly by means of these described networks. Conclusions Understanding the vascular and lymphatic pathways between the left kidney and the tail of the pancreas will help determine dissection planes and the extent of radical resection surgery with a curative intent. The anatomical description of existing pathways between these structures and the perirenal and pararenal spaces may aid in the anatomical understanding of the spread of RCC. It may also have implications where local resection of tumours is considered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".