3D-Printing Applications in Ostomy Device Creation and Complex Intestinal Fistula Management: A Scoping Review.

Background This scoping review aims to provide a summary of the use of three-dimensional (3D) printing in colorectal surgery for the management of complex intestinal fistula and ostomy creation. Methods A systematic database search was conducted of original articles that explored the use of 3D printing in colorectal surgery in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to March 2022. Original articles and case reports that discussed 3D printing in colorectal surgery relating to complex intestinal fistulae and ostomies were identified and analyzed. Results There were 8 articles identified which discussed the use of 3D printing in colorectal surgery, of which 2 discussed ostomy creation, 4 discussed complex fistulae management, and 2 discussed patient models. Conclusion 3D printing has a promising role in terms of management of these conditions and can improve outcomes in terms of recovery, fluid loss, and function with no increase in complications. The use of 3D printing is still in its early stages of development in colorectal surgery. Further research in the form of randomized control trials to improve methodological robustness will reveal its true potential.

A novel use of PICO dressing with sterile sponge for the treatment of a deep ulcerated wound in a breast cancer patient undergoing chemotherapy.

Wound management in patients with deep ulcerated wounds can be challenging, especially in the context of an outpatient setting. This is further confounded in patients undergoing chemotherapy. There is a lack of literature on the outpatient management of ulcerated breast wounds in patients having neo-adjuvant chemotherapy. This case report describes the use of a negative pressure wound treatment system leading to satisfactory wound healing and ultimately improving a patient's quality-of-life during chemotherapy.

Bilateral risk-reducing mastectomy and reconstruction-A 12-year review of methodological trends and outcomes at a tertiary referral centre.

INTRODUCTION: Bilateral risk-reducing mastectomy (BRRM) involves removal of healthy breast tissue to substantially decrease the risk of developing breast cancer in individuals with greater susceptibility due to a strong family history or genetic mutation. This retrospective study evaluates cases of BRRM and associated reconstruction performed at a tertiary centre, with emphasis on mastectomy and reconstructive trends. METHODS: A retrospective review of all BRRM cases performed between January 2010 and May 2022 was conducted, with two separate cohorts corresponding to the earlier (group 1) and later (group 2) portion of the time-period. Data collected included demographics, genetic test results, family history of breast/ovarian cancer, co-morbidities, mastectomy type, reconstruction type, surgical histopathology findings and post-operative complications. RESULTS: A total of 82 patients (group 1 = 41, group 2 = 41) underwent BRRM. The proportion of nipple-sparing mastectomy increased from 14.6% to 56.1% between the two time periods with a reduction in skin-sparing mastectomies from 75.6% to 20.3% (p<0.001). Of the 80 patients who opted to undergo reconstruction, there was a significant decrease in combined flap-implant reconstructions (19.51% to 0%, p<0.01). Importantly, for implant-only reconstruction, there were significant increases in prepectoral approaches (p = 0.0267) and use of acellular dermal matrix (ADM) (48.15% to 90.63%, p<0.001). CONCLUSION: This study documents recent increases in nipple-sparing techniques for BRRM compared to more traditional skin-sparing methods. Concurrently, reconstruction following RRM has become predominantly implant-based without a flap, coinciding with more widespread usage of ADM. This is consistent with national trends towards fewer complex autologous procedures.

Hedgehog-induced ZFYVE21 promotes chronic vascular inflammation by activating NLRP3 inflammasomes in T cells.

The zinc finger protein ZFYVE21 is involved in immune signaling. Using humanized mouse models, primary human cells, and patient samples, we identified a T cell-autonomous role for ZFYVE21 in promoting chronic vascular inflammation associated with allograft vasculopathy. Ischemia-reperfusion injury (IRI) stimulated endothelial cells to produce Hedgehog (Hh) ligands, which in turn induced the production of ZFYVE21 in a population of T memory cells with high amounts of the Hh receptor PTCH1 (PTCHhi cells, CD3+CD4+CD45RO+PTCH1hiPD-1hi), vigorous recruitment to injured endothelia, and increased effector responses in vivo. After priming by interferon-γ (IFN-γ), Hh-induced ZFYVE21 activated NLRP3 inflammasome activity in T cells, which potentiated IFN-γ responses. Hh-induced NLRP3 inflammasomes and T cell-specific ZFYVE21 augmented the vascular sequelae of chronic inflammation in mice engrafted with human endothelial cells or coronary arteries that had been subjected to IRI before engraftment. Moreover, the population of PTCHhi T cells producing high amounts of ZFYVE21 was expanded in patients with renal transplant-associated IRI, and sera from these patients expanded this population in control T cells in a manner that depended on Hh signaling. We conclude that Hh-induced ZFYVE21 activates NLRP3 inflammasomes in T cells, thereby promoting chronic inflammation.

Diagnosis and management of breast implant capsule recurrence following mastectomy and subpectoral implant - innovative use of ADM for reconstruction.

It is well reported that patients who have undergone breast augmentation and subsequently develop breast cancer can successfully undergo breast-conserving therapy with preservation of their implants. However, there is a paucity of literature on the radiological investigations and surgical techniques in postmastectomy implant-reconstructed patients who develop recurrences to enable preservation of their implant-based reconstruction whilst effectively treating the local recurrence. The wide adoption of acellular dermal matrix use in prosthetic breast reconstruction in recent years has made radiological evaluation of such patients challenging. Herein presented is a case of a 37-year-old woman where wide local excision of a local recurrence abutting a peri-implant capsule following previous mastectomy and implant-acellular dermal matrix (ADM) reconstruction was performed with successful preservation of reconstruction volume (and shape) using an ADM patch to repair the capsular defect whilst retaining the implant in situ. Radiological investigation facilitated and guided the surgical planning and oncological clearance.

Present and future of machine learning in breast surgery: systematic review.

BACKGROUND: Machine learning is a set of models and methods that can automatically detect patterns in vast amounts of data, extract information, and use it to perform decision-making under uncertain conditions. The potential of machine learning is significant, and breast surgeons must strive to be informed with up-to-date knowledge and its applications. METHODS: A systematic database search of Embase, MEDLINE, the Cochrane database, and Google Scholar, from inception to December 2021, was conducted of original articles that explored the use of machine learning and/or artificial intelligence in breast surgery in EMBASE, MEDLINE, Cochrane database and Google Scholar. RESULTS: The search yielded 477 articles, of which 14 studies were included in this review, featuring 73 847 patients. Four main areas of machine learning application were identified: predictive modelling of surgical outcomes; breast imaging-based context; screening and triaging of patients with breast cancer; and as network utility for detection. There is evident value of machine learning in preoperative planning and in providing information for surgery both in a cancer and an aesthetic context. Machine learning outperformed traditional statistical modelling in all studies for predicting mortality, morbidity, and quality of life outcomes. Machine learning patterns and associations could support planning, anatomical visualization, and surgical navigation. CONCLUSION: Machine learning demonstrated promising applications for improving breast surgery outcomes and patient-centred care. Neveretheless, there remain important limitations and ethical concerns relating to implementing artificial intelligence into everyday surgical practices.

An unusual case of complete pathological response to Paget's disease of the breast.

Mammary Paget's disease is a rare form of breast cancer present in ~0.5-2.8% of breast cancers. The patients have a poorer prognosis, and usually, the appropriate therapy is based on the pathologic findings of the mass and axillary staging. This report adds the outcomes of Paget's disease following neoadjuvant chemotherapy to the literature by description of a case of a 48-year-old patient with Paget's disease who had a complete pathological response to Paget's disease of the breast following neoadjuvant chemotherapy.