Using CT-Based Pelvimetry and Visceral Obesity Measurements to Predict Total Mesorectal Excision Quality for Patients Undergoing Rectal Cancer Surgery.

BACKGROUND: A complete total mesorectal excision is the criterion standard in curative rectal cancer surgery. Ensuring quality is challenging in a narrow pelvis, and obesity amplifies technical difficulties. Pelvimetry is the measurement of pelvic dimensions, but its role in gauging preoperatively the difficulty of proctectomy is largely unexplored. OBJECTIVE: To determine pelvic structural factors associated with incomplete total mesorectal excision after curative proctectomy and build a predictive model for total mesorectal excision quality. DESIGN: Retrospective cohort study. SETTING: A quaternary referral center database of patients diagnosed with rectal adenocarcinoma (2009-2017). PATIENTS: Curative-intent proctectomy for rectal adenocarcinoma. INTERVENTIONS: All radiological measurements were obtained from preoperative CT images using validated imaging processing software tools. Completeness of total mesorectal excision was obtained from histology reports. MAIN OUTCOME MEASURES: Ability of radiological pelvimetry and obesity measurements to predict total mesorectal excision quality. RESULTS: Of the 410 cases meeting inclusion criteria, 362 underwent a complete total mesorectal excision (88%). Multivariable regression identified a deeper sacral curve (per 100 mm 2 [OR: 1.14; 95% CI, 1.06-1.23; p < 0.001]) and a greater transverse distance of the pelvic outlet (per 10 mm [OR:1.41, 95% CI, 1.08-1.84; p = 0.012]) to be independently associated with incomplete total mesorectal excision. An increased area of the pelvic inlet (per 10 cm 2 [OR: 0.85; 95% CI, 0.75-0.97; p = 0.02) was associated with a higher rate of complete mesorectal excision. No difference in visceral obesity ratio and visceral obesity (ratio >0.4 vs <0.4) between BMI (<30 vs ≥30) and sex was identified. A model was built to predict mesorectal quality using the following variables: depth of sacral curve, area of pelvic inlet, and transverse distance of the pelvic outlet. LIMITATIONS: Retrospective analysis is not controlled for the choice of surgical approach. CONCLUSIONS: Pelvimetry predicts total mesorectal excision quality in rectal cancer surgery and can alert surgeons preoperatively to cases of unusual difficulty. This predictive model may contribute to treatment strategy and aid in the comparison of outcomes between traditional and novel techniques of total mesorectal excision. See Video Abstract . USO DE MEDICIONES DE PELVIMETRA Y OBESIDAD VISCERAL BASADAS EN TC PARA PREDECIR LA CALIDAD DE TME EN PACIENTES SOMETIDOS A CIRUGA DE CNCER DE RECTO: ANTECEDENTES:Una escisión mesorrectal total y completa es el estándar de oro en la cirugía curativa del cáncer de recto. Garantizar la calidad es un desafío en una pelvis estrecha y la obesidad amplifica las dificultades técnicas. La pelvimetría es la medición de las dimensiones pélvicas, pero su papel para medir la dificultad preoperatoria de la proctectomía está en gran medida inexplorado.OBJETIVO:Determinar los factores estructurales pélvicos asociados con la escisión mesorrectal total incompleta después de una proctectomía curativa y construir un modelo predictivo para la calidad de la escisión mesorrectal total.DISEÑO:Estudio de cohorte retrospectivo.ÁMBITO:Base de datos de un centro de referencia cuaternario de pacientes diagnosticados con adenocarcinoma de recto (2009-2017).PACIENTES:Proctectomía con intención curativa para adenocarcinoma de recto.INTERVENCIONES:Todas las mediciones radiológicas se obtuvieron a partir de imágenes de TC preoperatorias utilizando herramientas de software de procesamiento de imágenes validadas. La integridad de la escisión mesorrectal total se obtuvo a partir de informes histológicos.PRINCIPALES MEDIDAS DE VALORACIÓN:Capacidad de la pelvimetría radiológica y las mediciones de obesidad para predecir la calidad total de la escisión mesorrectal.RESULTADOS:De los 410 casos que cumplieron los criterios de inclusión, 362 tuvieron una escisión mesorrectal total completa (88%). Una regresión multivariable identificó una curva sacra más profunda (por 100 mm2); OR:1,14,[IC95%:1,06-1,23,p<0,001], y mayor distancia transversal de salida pélvica (por 10mm); OR:1,41, [IC 95%:1,08-1,84,p=0,012] como asociación independiente con escisión mesorrectal total incompleta. Un área aumentada de entrada pélvica (por 10 cm2); OR:0,85, [IC95%:0,75-0,97,p=0,02] se asoció con una mayor tasa de escisión mesorrectal completa. No se identificaron diferencias en la proporción de obesidad visceral y la obesidad visceral (proporción>0,4 vs.<0,4) entre el índice de masa corporal (<30 vs.>=30) o el sexo. Se construyó un modelo para predecir la calidad mesorrectal utilizando variables: profundidad de la curva sacra, área de la entrada pélvica y distancia transversal de la salida pélvica.LIMITACIONES:Análisis retrospectivo no controlado por la elección del abordaje quirúrgico.CONCLUSIONES:La pelvimetría predice la calidad de la escisión mesorrectal total en la cirugía del cáncer de recto y puede alertar a los cirujanos preoperatoriamente sobre casos de dificultad inusual. Este modelo predictivo puede contribuir a la estrategia de tratamiento y ayudar en la comparación de resultados entre técnicas tradicionales y novedosas de escisión mesorrectal total. (Traducción- Dr. Ingrid Melo).

Establishing the clinical relevance of grade A post-hepatectomy liver failure.

INTRODUCTION: The International Study Group of Liver Surgery's criteria stratifies post-hepatectomy liver failure (PHLF) into grades A, B, and C. The clinical significance of these grades has not been fully established. METHODS: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) hepatectomy-targeted database was analyzed. Outcomes between patients without PHLF, with grade A PHLF, and grade B or C PHLF were compared. Univariate and multivariable logistic regression were performed. RESULTS: Six thousand two hundred seventy-four adults undergoing elective major hepatectomy were included in the analysis. The incidence of grade A PHLF was 4.3% and grade B or C was 5.3%. Mortality was similar between patients without PHLF (1.2%) and with grade A PHLF (1.1%), but higher in those with grades B or C PHLF (25.4%). Overall morbidities rates were 19.3%, 41.7%, and 72.8% in patients without PHLF, with grade A PHLF, and with grade B or C PHLF, respectively (p < 0.001). Grade A PHLF was associated with increased morbidity (grade A: odds ratios [OR] 2.7 [95% CI: 2.0-3.5]), unplanned reoperation (grade A: OR 3.4 [95% CI: 2.2-5.1]), nonoperative intervention (grade A: OR 2.6 [95% CI: 1.9-3.6]), length of stay (grade A: OR 3.1 [95% CI: 2.3-4.1]), and readmission (grade A: OR 1.8 [95% CI: 1.3-2.5]) compared to patients without PHLF. CONCLUSIONS: Although mortality was similar between patients without PHLF and with grade A PHLF, other postoperative outcomes were notably inferior. Grade A PHLF is a clinically distinct entity with relevant associated postoperative morbidity.

Comparison of perioperative and histopathologic outcomes among neoadjuvant treatment strategies for locoregional gastric cancer.

BACKGROUND AND OBJECTIVES: Neoadjuvant chemotherapy (NAC) and chemoradiation (NCRT) have demonstrated improved survival for gastric cancer. However, the optimal neoadjuvant treatment remains unclear. We sought to evaluate perioperative and histopathologic outcomes among neoadjuvant treatments for locoregional gastric cancer. METHODS: The National Cancer Database queried patients who received NAC or NCRT followed by resection for T2-T4 and/or node-positive gastric cancer (2006-2018). Logistic and Poisson regression assessed perioperative (30-day readmission, 30- and 90-day mortality, length of stay [LOS]) and histopathologic outcomes (pathologic complete response [PCR], margin status, and negative pathologic lymph nodes [ypN0]). Kaplan-Meier methods and Cox regression assessed overall survival (OS). RESULTS: Of 9831 patients, 4221 (42.9%) received NAC and 5610 (57.1%) NCRT. There were no differences in perioperative outcomes, apart from patients treated with NCRT exhibiting increased LOS (incidence rate ratio 1.09, 95% confidence interval [CI] 1.03-1.16). Patients who received NCRT were more likely to achieve PCR, margin-negative resection, and ypN0 (all p < 0.05). Median OS was 36.8 months for NAC and 33.6 months for NCRT (p < 0.001). NCRT independently predicted worse OS (vs. NAC, hazard ratio 1.10, 95% CI 1.03-1.18). CONCLUSION: NCRT was associated with better histologic tumor response although NAC was associated with improved OS. Better understanding prognostication through histologic assessment following neoadjuvant therapy is needed.

A review of response in neoadjuvant therapy for exocrine pancreatic cancer.

Despite overall advances in cancer therapy, patients with pancreatic ductal adenocarcinoma continue to have a poor prognosis. While adjuvant therapy is still considered standard, there is mounting evidence that neoadjuvant therapy confers similar benefits in patients with locally advanced disease. The primary measures of response are radiographic, biochemical, margin status, and pathologic. Given overall low response rates and the need for new treatment strategies, standard metrics remain important to the investigation of new systemic agents.

Bariatric Surgery Among Obese Veterans: a Retrospective Review of Complications and Intermediate Term Results from a Single Institution.

BACKGROUND: The purpose of this study was to compare the results and complications among obese veterans undergoing sleeve gastrectomy and gastric bypass at a low-volume center. MATERIALS AND METHODS: This is a retrospective review of bariatric procedures performed by a single surgeon from 2009-2013. Outcomes of interest were mortality, complications, and length of stay. Weight loss and comorbidity resolution were compared between sleeve gastrectomy (SG) and Roux-y gastric bypass (RYGB). Length of stay and distance traveled to receive services were analyzed. Distributed groups were compared with Student's t test. Welch's correction was used where variances were unequal via ANOVA. Complications were compared using Fisher's exact test. RESULTS: Eighty-five patients (SG = 51, RYGB = 34) were analyzed. Postoperatively, patients were seen in clinic, contacted by phone or email, and their electronic health care records were reviewed. Average length of follow-up was 114.3 weeks. Mortality was 0 %. Complication rates were comparable between groups. The percent total weight loss was 22.6 % for the SG and 27.5 % for the RYGB (p = 0.02). The percent excess weight loss was 49 % for SG and 55 % for RYGB (p = 0.149). Percent excess body mass index (BMI) loss was 54 and 61 % (p = 0.197) for SG and RYGB, respectively. Comorbidity resolution was similar between groups except for diabetes which was superior for RYGB (p = 0.03). Veterans lived an average of 141.3 miles from our VA, and all 85 patients were able to be contacted for follow-up. CONCLUSIONS: Despite long travel distances for high-risk veterans, bariatric surgery can be performed safely even at a low-volume VA hospital with acceptable morbidity and mortality and excellent follow-up. There was no difference in morbidity or mortality between patients undergoing SG vs RYGB.

Blood Density Is Nearly Equal to Water Density: A Validation Study of the Gravimetric Method of Measuring Intraoperative Blood Loss.

Purpose. The gravimetric method of weighing surgical sponges is used to quantify intraoperative blood loss. The dry mass minus the wet mass of the gauze equals the volume of blood lost. This method assumes that the density of blood is equivalent to water (1 gm/mL). This study's purpose was to validate the assumption that the density of blood is equivalent to water and to correlate density with hematocrit. Methods. 50 µL of whole blood was weighed from eighteen rats. A distilled water control was weighed for each blood sample. The averages of the blood and water were compared utilizing a Student's unpaired, one-tailed t-test. The masses of the blood samples and the hematocrits were compared using a linear regression. Results. The average mass of the eighteen blood samples was 0.0489 g and that of the distilled water controls was 0.0492 g. The t-test showed P = 0.2269 and R (2) = 0.03154. The hematocrit values ranged from 24% to 48%. The linear regression R (2) value was 0.1767. Conclusions. The R (2) value comparing the blood and distilled water masses suggests high correlation between the two populations. Linear regression showed the hematocrit was not proportional to the mass of the blood. The study confirmed that the measured density of blood is similar to water.