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3 results on '"Crull D"'

1. Trends in Distal Esophageal and Gastroesophageal Junction Cancer Care: The Dutch Nationwide Ivory Study.

Author

Kalff, M.C., Berge Henegouwen, M.I. van, Baas, P.C., Bahadoer, R.R., Belt, E.J., Brattinga, B., Claassen, L., Ćosović, A., Crull, D., Daams, F., Dalsen, A.D. van, Dekker, J.W.T., Det, M.J. van, Drost, M., Duijvendijk, P. van, Eshuis, W.J., Esser, S. van, Gaspersz, M.P., Görgec, B., Groenendijk, R.P.R., Hartgrink, H.H., Harst, E, Haveman, J.W., Heisterkamp, J., Hillegersberg, R. van, Kelder, W., Kingma, B.F., Koemans, W.J., Kouwenhoven, E.A., Lagarde, S.M., Lecot, F., Linden, P.P. van der, Luyer, M.D., Nieuwenhuijzen, G.A., Olthof, P.B., Peet, D.L. van der, Pierie, J.E.N., Pierik, E.G.J.M.R., Plat, V.D., Polat, F., Rosman, C., Ruurda, J.P., Sandick, J.W. van, Scheer, R., Slootmans, C.A.M., Sosef, M.N., Sosef, O.V., Steur, W.O. de, Stockmann, H.B., Stoop, F.J., Voeten, D.M., Vugts, G., Vijgen, G.H.E.J., Weeda, V.B., Wiezer, M.J., Oijen, M.G. van, Gisbertz, S.S., Kalff, M.C., Berge Henegouwen, M.I. van, Baas, P.C., Bahadoer, R.R., Belt, E.J., Brattinga, B., Claassen, L., Ćosović, A., Crull, D., Daams, F., Dalsen, A.D. van, Dekker, J.W.T., Det, M.J. van, Drost, M., Duijvendijk, P. van, Eshuis, W.J., Esser, S. van, Gaspersz, M.P., Görgec, B., Groenendijk, R.P.R., Hartgrink, H.H., Harst, E, Haveman, J.W., Heisterkamp, J., Hillegersberg, R. van, Kelder, W., Kingma, B.F., Koemans, W.J., Kouwenhoven, E.A., Lagarde, S.M., Lecot, F., Linden, P.P. van der, Luyer, M.D., Nieuwenhuijzen, G.A., Olthof, P.B., Peet, D.L. van der, Pierie, J.E.N., Pierik, E.G.J.M.R., Plat, V.D., Polat, F., Rosman, C., Ruurda, J.P., Sandick, J.W. van, Scheer, R., Slootmans, C.A.M., Sosef, M.N., Sosef, O.V., Steur, W.O. de, Stockmann, H.B., Stoop, F.J., Voeten, D.M., Vugts, G., Vijgen, G.H.E.J., Weeda, V.B., Wiezer, M.J., Oijen, M.G. van, and Gisbertz, S.S.

Abstract

Item does not contain fulltext, OBJECTIVE: This study evaluated the nationwide trends in care and accompanied postoperative outcomes for patients with distal esophageal and gastro-esophageal junction cancer. SUMMARY OF BACKGROUND DATA: The introduction of transthoracic esophagectomy, minimally invasive surgery, and neo-adjuvant chemo(radio)therapy changed care for patients with esophageal cancer. METHODS: Patients after elective transthoracic and transhiatal esophagectomy for distal esophageal or gastroesophageal junction carcinoma in the Netherlands between 2007-2016 were included. The primary aim was to evaluate trends in both care and postoperative outcomes for the included patients. Additionally, postoperative outcomes after transthoracic and tran-shiatal esophagectomy were compared, stratified by time periods. RESULTS: Among 4712 patients included, 74% had distal esophageal tumors and 87% had adenocarcinomas. Between 2007 and 2016, the proportion of transthoracic esophagectomy increased from 41% to 81%, and neo-adjuvant treatment and minimally invasive esophagectomy increased from 31% to 96%, and from 7% to 80%, respectively. Over this 10-year period, postoperative outcomes improved: postoperative morbidity decreased from 66.6% to 61.8% ( P = 0.001), R0 resection rate increased from 90.0% to 96.5% (P <0.001), median lymph node harvest increased from 15 to 19 ( P <0.001), and median survival increased from 35 to 41 months ( P = 0.027). CONCLUSION: In this nationwide cohort, a transition towards more neo-adju-vant treatment, transthoracic esophagectomy and minimally invasive surgery was observed over a 10-year period, accompanied by decreased postoperative morbidity, improved surgical radicality and lymph node harvest, and improved survival.

Published
2023

2. Recurrent Disease After Esophageal Cancer Surgery: A Substudy of The Dutch Nationwide Ivory Study

Author

Kalff, M.C., Henckens, S.P.G., Voeten, D.M., Heineman, D.J., Hulshof, M., Laarhoven, H.W.M. van, Eshuis, W.J., Baas, P.C., Bahadoer, R.R., Belt, E.J., Brattinga, B., Claassen, L., Ćosović, A., Crull, D., Daams, F., Dalsen, A.D. van, Dekker, J.W.T., Det, M.J. van, Drost, M., Duijvendijk, P. van, Esser, S. van, Gaspersz, M.P., Görgec, B., Groenendijk, R.P.R., Hartgrink, H.H., Harst, E, Haveman, J.W., Heisterkamp, J., Hillegersberg, R. van, Kelder, W., Kingma, B.F., Koemans, W.J., Kouwenhoven, E.A., Lagarde, S.M., Lecot, F., Linden, P.P. van der, Luyer, M.D., Nieuwenhuijzen, G.A., Olthof, P.B., Peet, D.L. van der, Pierie, J.E.N., Pierik, E., Plat, V.D., Polat, Fatih, Rosman, C., Ruurda, J.P., Sandick, J.W. van, Scheer, R., Slootmans, C.A.M., Sosef, M.N., Sosef, O.V., Steur, W.O. de, Stockmann, H., Stoop, F.J., Vugts, G., Vijgen, G., Weeda, V.B., Wiezer, M.J., Oijen, M.G. van, Henegouwen, M.I. van Berge, Gisbertz, S.S., Kalff, M.C., Henckens, S.P.G., Voeten, D.M., Heineman, D.J., Hulshof, M., Laarhoven, H.W.M. van, Eshuis, W.J., Baas, P.C., Bahadoer, R.R., Belt, E.J., Brattinga, B., Claassen, L., Ćosović, A., Crull, D., Daams, F., Dalsen, A.D. van, Dekker, J.W.T., Det, M.J. van, Drost, M., Duijvendijk, P. van, Esser, S. van, Gaspersz, M.P., Görgec, B., Groenendijk, R.P.R., Hartgrink, H.H., Harst, E, Haveman, J.W., Heisterkamp, J., Hillegersberg, R. van, Kelder, W., Kingma, B.F., Koemans, W.J., Kouwenhoven, E.A., Lagarde, S.M., Lecot, F., Linden, P.P. van der, Luyer, M.D., Nieuwenhuijzen, G.A., Olthof, P.B., Peet, D.L. van der, Pierie, J.E.N., Pierik, E., Plat, V.D., Polat, Fatih, Rosman, C., Ruurda, J.P., Sandick, J.W. van, Scheer, R., Slootmans, C.A.M., Sosef, M.N., Sosef, O.V., Steur, W.O. de, Stockmann, H., Stoop, F.J., Vugts, G., Vijgen, G., Weeda, V.B., Wiezer, M.J., Oijen, M.G. van, Henegouwen, M.I. van Berge, and Gisbertz, S.S.

Abstract

Item does not contain fulltext, OBJECTIVE: This study investigated the patterns, predictors, and survival of recurrent disease following esophageal cancer surgery. BACKGROUND: Survival of recurrent esophageal cancer is usually poor, with limited prospects of remission. METHODS: This nationwide cohort study included patients with distal esophageal and gastroesophageal junction adenocarcinoma and squamous cell carcinoma after curatively intended esophagectomy in 2007 to 2016 (follow-up until January 2020). Patients with distant metastases detected during surgery were excluded. Univariable and multivariable logistic regression were used to identify predictors of recurrent disease. Multivariable Cox regression was used to determine the association of recurrence site and treatment intent with postrecurrence survival. RESULTS: Among 4626 patients, 45.1% developed recurrent disease a median of 11 months postoperative, of whom most had solely distant metastases (59.8%). Disease recurrences were most frequently hepatic (26.2%) or pulmonary (25.1%). Factors significantly associated with disease recurrence included young age (≤65 y), male sex, adenocarcinoma, open surgery, transthoracic esophagectomy, nonradical resection, higher T-stage, and tumor positive lymph nodes. Overall, median postrecurrence survival was 4 months [95% confidence interval (95% CI): 3.6-4.4]. After curatively intended recurrence treatment, median survival was 20 months (95% CI: 16.4-23.7). Survival was more favorable after locoregional compared with distant recurrence (hazard ratio: 0.74, 95% CI: 0.65-0.84). CONCLUSIONS: This study provides important prognostic information assisting in the surveillance and counseling of patients after curatively intended esophageal cancer surgery. Nearly half the patients developed recurrent disease, with limited prospects of survival. The risk of recurrence was higher in patients with a higher tumor stage, nonradical resection and positive lymph node harvest.

Published
2022

3. Complication Prediction after Esophagectomy with Machine Learning.

Author

van de Beld JJ, Crull D, Mikhal J, Geerdink J, Veldhuis A, Poel M, and Kouwenhoven EA

Abstract

Esophageal cancer can be treated effectively with esophagectomy; however, the postoperative complication rate is high. In this paper, we study to what extent machine learning methods can predict anastomotic leakage and pneumonia up to two days in advance. We use a dataset with 417 patients who underwent esophagectomy between 2011 and 2021. The dataset contains multimodal temporal information, specifically, laboratory results, vital signs, thorax images, and preoperative patient characteristics. The best models scored mean test set AUROCs of 0.87 and 0.82 for leakage 1 and 2 days ahead, respectively. For pneumonia, this was 0.74 and 0.61 for 1 and 2 days ahead, respectively. We conclude that machine learning models can effectively predict anastomotic leakage and pneumonia after esophagectomy.

Published
2024
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