Incisional hernia is frequently observed after open colorectal cancer surgery, and should be considered a serious short- and long-term health issue. The present study evaluated the efficacy of small-bite abdominal closure in reducing the incidence of incisional hernia in this patient group. An RCT was conducted between June 2019 and June 2022. A total of 173 patients who underwent open colorectal cancer surgery were assigned randomly to one of two groups to undergo fascial closure with either small bites (87) or conventional bites (86). The incisional hernia rate was accepted as the primary outcome, and surgical-site infection as the secondary outcome. The incisional hernia rates at 1 year were 7 and 27% in the small- and conventional-bite groups respectively (P < 0.001). This rate increased to 9 and 31% at the end of the second year (P < 0.001). Surgical-site infections occurred in 18% of the small-bite group and 31% of the conventional-bite group (P = 0.03). Compared with the conventional-bite group, the small-bite group had higher suture/wound length ratios (mean(s.d.) 5.18(0.84) versus 3.67(0.57); P < 0.001) and a longer fascial closure time 14.1(4.64) versus 12.9(2.39) min; P = 0.03). Small-bite closure with 5-mm tissue bites placed 5 mm apart reduced the incidence of incisional hernia and surgical-site infection after open colorectal cancer surgery.
17 June 2024 in Asia-Pacific Journal of Clinical Oncology
Multidisciplinary teams (MDTs) are central to treatment planning for colorectal cancer liver metastases (CRCLM) but require time and consistent access to expertise. Chat-based large language models (LLMs) such as ChatGPT can generate recommendations from written clinical summaries; however, their concordance with MDT decisions in CRCLM is not well characterized. We conducted a single-center retrospective concordance study of 30 consecutive CRCLM cases discussed at an MDT. ChatGPT was provided a standardized anonymized text synopsis (without direct imaging access) and asked for management recommendations under two a priori conditions: (1) baseline synopsis only, and (2) a conditional query in which resectability status was explicitly specified. Each case and condition was queried three independent times in separate sessions using identical prompts; outputs were mapped to predefined management categories. Agreement between the final LLM recommendation and MDT decisions was assessed using percent agreement and Cohen’s kappa. Across repeated runs, the LLM assigned the same management category in all cases (within-model consistency 100%, 3/3) for both querying conditions. In the baseline condition, agreement with MDT decisions was 66.7% (20/30; Cohen’s kappa = 0.606, moderate agreement). In the conditional resectability-specified condition, agreement was 93.3% (28/30; Cohen’s kappa = 0.924, very good agreement). Baseline discordant cases were characterized by conservative model outputs, including recommendations for systemic therapy and/or additional diagnostic work-up; only two cases remained discordant after resectability was specified. A chat-based LLM showed moderate concordance with unanimous MDT recommendations from minimal case summaries and very good concordance when resectability status was explicitly specified. These findings support feasibility as a supervised decision-support adjunct, but do not establish clinical benefit; prospective outcome-based validation is required.
One of the side effects of vaccines used to end the COVID-19 epidemic is non-specifically enlarged axillary lymph nodes. Such lymphadenopathy detected during clinical examination of breast cancer patients may require additional imaging or interventional procedures that should not normally be performed. This study has been designed to estimate the incidence of palpable enlarged axillary lymph node in breast cancer patients who had received COVID-19 vaccination in the past 3 months in the same arm as compared to those without vaccination. Breast cancer patients admitted to M.U. Medical Faculty Breast polyclinic between January 2021 and March 2022 were screened, and clinical staging was performed after thorough clinical examination. Among these patients with suspected enlarged axillary lymph node and those undergoing sentinel lymph node biopsy (SLNB), they were divided into two groups as vaccinated and unvaccinated. Age, menopausal status, tumor size, tumor location, surgery, pathology results, hormonal receptor status, and SLNB results were statistically compared with groups. There was no significant difference between groups in terms of age, menopause, tumor size, tumor location, surgery, pathological results, and hormone receptor status. The SLNB being reported as reactive only was 89.1% in the vaccinated group and 73.2% in the non-vaccinated group which was statistically significant different. Reactive lymph nodes were commonly found with an excess of 16% in patients who had received COVID-19 vaccination in the past 3 months. This required caution and additional examination of the axillary lymph nodes in this period.
We aimed to develop and internally validate a nomogram to estimate axillary pathological complete response (pCR, ypN0) after neoadjuvant systemic therapy (NAST) in clinically node-positive (cN1–2) breast cancer. In a single-center retrospective cohort of 144 consecutive patients treated with NAST (anti-HER2 as indicated), all underwent standardized pre- and post-NAST 18F-FDG PET/CT and axillary staging (sentinel lymph node biopsy [SLNB], targeted axillary dissection [TAD], or axillary lymph node dissection [ALND]). Axillary pCR occurred in 51.4% (74/144). In a multivariable analysis, independent positive determinants of ypN0 included the triple-negative subtype, Modified PERCIST (SUVmax-based) reduction ≥ 80.70%, pre-NAST tumor-to-axilla SUVmax ratio ≥ 1.21, and residual breast tumor size < 0.5 mm; conversely, conglomerate/matted nodal morphology at diagnosis was inversely associated. The model showed good internal discrimination (AUC 0.857, 95% CI 0.797–0.917) and acceptable calibration (Hosmer–Lemeshow p = 0.425). Exploratory, subtype-restricted signals were observed for inflammatory indices within Luminal B (HER2+) but were not retained in the final model. The resulting nomogram—combining tumor biology, PET/CT response, and pre-NAST nodal features—may support risk stratification for axillary de-escalation after NAST; however, prospective external validation—ideally embedded in ongoing de-escalation frameworks—remains essential before clinical implementation, and the tool should currently be regarded as hypothesis-generating rather than a stand-alone decision aid for routine practice.