Search

Your search keyword '"Kandaswamy, GV"' showing total 10 results
Start Over Author "Kandaswamy, GV"
10 results on '"Kandaswamy, GV"'

1. Minimum standards of pelvic exenterative practice:PelvEx Collaborative guideline

Author

Fahy, MR, Kelly, ME, Aalbers, AGJ, Abdul Aziz, N, Abecasis, N, Abraham-Nordling, M, Akiyoshi, T, Alberda, W, Albert, M, Andric, M, Angeles, MA, Angenete, E, Antoniou, A, Auer, R, Austin, KK, Aytac, E, Aziz, O, Bacalbasa, N, Baker, RP, Bali, M, Baransi, S, Baseckas, G, Bebington, B, Bedford, M, Bednarski, BK, Beets, GL, Berg, PL, Bergzoll, C, Beynon, J, Biondo, S, Boyle, K, Bordeianou, L, Brecelj, E, Bremers, AB, Brunner, M, Buchwald, P, Bui, A, Burgess, A, Burger, JWA, Burling, D, Burns, E, Campain, N, Carvalhal, S, Castro, L, Caycedo-Marulanda, A, Ceelan, W, Chan, KKL, Chang, GJ, Chang, M, Chew, MH, Chok, AY, Chong, P, Clouston, H, Codd, M, Collins, D, Colquhoun, AJ, Constantinides, J, Corr, A, Coscia, M, Cosimelli, M, Cotsoglou, C, Coyne, PE, Croner, RS, Damjanovich, L, Daniels, IR, Davies, M, Delaney, CP, de Wilt, JHW, Denost, Q, Deutsch, C, Dietz, D, Domingo, S, Dozois, EJ, Drozdov, E, Duff, M, Eglinton, T, Enriquez-Navascues, JM, Espín-Basany, E, Evans, MD, Eyjólfsdóttir, B, Fearnhead, NS, Ferron, G, Flatmark, K, Fleming, FJ, Flor, B, Folkesson, J, Frizelle, FA, Funder, J, Gallego, MA, Gargiulo, M, García-Granero, E, García-Sabrido, JL, Gava, VG, Gentilini, L, George, ML, George, V, Georgiou, P, Ghosh, A, Ghouti, L, Gil-Moreno, A, Giner, F, Ginther, DN, Glyn, T, Glynn, R, Golda, T, Griffiths, B, Harris, DA, Hagemans, JAW, Hanchanale, V, Harji, DP, Helewa, RM, Hellawell, G, Heriot, AG, Hochman, D, Hohenberger, W, Holm, T, Hompes, R, Hornung, B, Hurton, S, Hyun, E, Ito, M, Iversen, LH, Jenkins, JT, Jourand, K, Kaffenberger, S, Kandaswamy, GV, Kapur, S, Kanemitsu, Y, Kazi, M, Kelley, SR, Keller, DS, Ketelaers, SHJ, Khan, MS, Kiran, RP, Kim, H, Kim, HJ, Koh, CE, Kok, NFM, Kokelaar, R, Kontovounisios, C, Kose, F, Koutra, M, Kristensen, HØ, Kroon, HM, Kumar, S, Kusters, M, Lago, V, Lampe, B, Lakkis, Z, Larach, JT, Larkin, JO, Larsen, SG, Larson, DW, Law, WL, Lee, PJ, Limbert, M, Loria, A, Lydrup, ML, Lyons, A, Lynch, AC, Maciel, J, Manfredelli, S, Mann, C, Mantyh, C, Mathis, KL, Marques, CFS, Martinez, A, Martling, A, Mehigan, BJ, Meijerink, WJHJ, Merchea, A, Merkel, S, Mehta, AM, Mikalauskas, S, McArthur, DR, McCormick, JJ, McCormick, P, McDermott, FD, McGrath, JS, Malde, S, Mirnezami, A, Monson, JRT, Navarro, AS, Negoi, I, Neto, JWM, Ng, JL, Nguyen, B, Nielsen, MB, Nieuwenhuijzen, GAP, Nilsson, PJ, Nordkamp, S, Nugent, T, Oliver, A, O’Dwyer, ST, O’Sullivan, NJ, Paarnio, K, Palmer, G, Pappou, E, Park, J, Patsouras, D, Peacock, O, Pellino, G, Peterson, AC, Pinson, J, Poggioli, G, Proud, D, Quinn, M, Quyn, A, Rajendran, N, Radwan, RW, Rao, C, Rasheed, S, Rausa, E, Regenbogen, SE, Reims, HM, Renehan, A, Rintala, J, Rocha, R, Rochester, M, Rohila, J, Rothbarth, J, Rottoli, M, Roxburgh, C, Rutten, HJT, Safar, B, Sagar, PM, Sahai, A, Saklani, A, Sammour, T, Sayyed, R, Schizas, AMP, Schwarzkopf, E, Scripcariu, D, Scripcariu, V, Selvasekar, C, Shaikh, I, Simpson, A, Skeie-Jensen, T, Smart, NJ, Smart, P, Smith, JJ, Solbakken, AM, Solomon, MJ, Sørensen, MM, Sorrentino, L, Steele, SR, Steffens, D, Stitzenberg, K, Stocchi, L, Stylianides, NA, Swartling, T, Spasojevic, M, Sumrien, H, Sutton, PA, Swartking, T, Takala, H, Tan, EJ, Taylor, C, Tekin, A, Tekkis, PP, Teras, J, Thaysen, HV, Thurairaja, R, Thorgersen, EB, Toh, EL, Tsarkov, P, Tsukada, Y, Tsukamoto, S, Tuech, JJ, Turner, WH, Tuynman, JB, Valente, M, van Ramshorst, GH, van Zoggel, D, Vasquez-Jimenez, W, Vather, R, Verhoef, C, Vierimaa, M, Vizzielli, G, Voogt, ELK, Uehara, K, Urrejola, G, Wakeman, C, Warrier, SK, Wasmuth, HH, Waters, PS, Weber, K, Weiser, MR, Wheeler, JMD, Wild, J, Williams, A, Wilson, M, Wolthuis, A, Yano, H, Yip, B, Yip, J, Yoo, RN, Zappa, MA, Winter, DC, Fahy, Mr, Kelly, Me, Aalbers, Agj, Abdul Aziz, N, Abecasis, N, Abraham-Nordling, M, Akiyoshi, T, Alberda, W, Albert, M, Andric, M, Angeles, Ma, Angenete, E, Antoniou, A, Auer, R, Austin, Kk, Aytac, E, Aziz, O, Bacalbasa, N, Baker, Rp, Bali, M, Baransi, S, Baseckas, G, Bebington, B, Bedford, M, Bednarski, Bk, Beets, Gl, Berg, Pl, Bergzoll, C, Beynon, J, Biondo, S, Boyle, K, Bordeianou, L, Brecelj, E, Bremers, Ab, Brunner, M, Buchwald, P, Bui, A, Burgess, A, Burger, Jwa, Burling, D, Burns, E, Campain, N, Carvalhal, S, Castro, L, Caycedo-Marulanda, A, Ceelan, W, Chan, Kkl, Chang, Gj, Chang, M, Chew, Mh, Chok, Ay, Chong, P, Clouston, H, Codd, M, Collins, D, Colquhoun, Aj, Constantinides, J, Corr, A, Coscia, M, Cosimelli, M, Cotsoglou, C, Coyne, Pe, Croner, R, Damjanovich, L, Daniels, Ir, Davies, M, Delaney, Cp, de Wilt, Jhw, Denost, Q, Deutsch, C, Dietz, D, Domingo, S, Dozois, Ej, Drozdov, E, Duff, M, Eglinton, T, Enriquez-Navascues, Jm, Espín-Basany, E, Evans, Md, Eyjólfsdóttir, B, Fearnhead, N, Ferron, G, Flatmark, K, Fleming, Fj, Flor, B, Folkesson, J, Frizelle, Fa, Funder, J, Gallego, Ma, Gargiulo, M, García-Granero, E, García-Sabrido, Jl, Gava, Vg, Gentilini, L, George, Ml, George, V, Georgiou, P, Ghosh, A, Ghouti, L, Gil-Moreno, A, Giner, F, Ginther, Dn, Glyn, T, Glynn, R, Golda, T, Griffiths, B, Harris, Da, Hagemans, Jaw, Hanchanale, V, Harji, Dp, Helewa, Rm, Hellawell, G, Heriot, Ag, Hochman, D, Hohenberger, W, Holm, T, Hompes, R, Hornung, B, Hurton, S, Hyun, E, Ito, M, Iversen, Lh, Jenkins, Jt, Jourand, K, Kaffenberger, S, Kandaswamy, Gv, Kapur, S, Kanemitsu, Y, Kazi, M, Kelley, Sr, Keller, D, Ketelaers, Shj, Khan, M, Kiran, Rp, Kim, H, Kim, Hj, Koh, Ce, Kok, Nfm, Kokelaar, R, Kontovounisios, C, Kose, F, Koutra, M, Kristensen, Hø, Kroon, Hm, Kumar, S, Kusters, M, Lago, V, Lampe, B, Lakkis, Z, Larach, Jt, Larkin, Jo, Larsen, Sg, Larson, Dw, Law, Wl, Lee, Pj, Limbert, M, Loria, A, Lydrup, Ml, Lyons, A, Lynch, Ac, Maciel, J, Manfredelli, S, Mann, C, Mantyh, C, Mathis, Kl, Marques, Cf, Martinez, A, Martling, A, Mehigan, Bj, Meijerink, Wjhj, Merchea, A, Merkel, S, Mehta, Am, Mikalauskas, S, Mcarthur, Dr, Mccormick, Jj, Mccormick, P, Mcdermott, Fd, Mcgrath, J, Malde, S, Mirnezami, A, Monson, Jrt, Navarro, A, Negoi, I, Neto, Jwm, Ng, Jl, Nguyen, B, Nielsen, Mb, Nieuwenhuijzen, Gap, Nilsson, Pj, Nordkamp, S, Nugent, T, Oliver, A, O’Dwyer, St, O’Sullivan, Nj, Paarnio, K, Palmer, G, Pappou, E, Park, J, Patsouras, D, Peacock, O, Pellino, G, Peterson, Ac, Pinson, J, Poggioli, G, Proud, D, Quinn, M, Quyn, A, Rajendran, N, Radwan, Rw, Rao, C, Rasheed, S, Rausa, E, Regenbogen, Se, Reims, Hm, Renehan, A, Rintala, J, Rocha, R, Rochester, M, Rohila, J, Rothbarth, J, Rottoli, M, Roxburgh, C, Rutten, Hjt, Safar, B, Sagar, Pm, Sahai, A, Saklani, A, Sammour, T, Sayyed, R, Schizas, Amp, Schwarzkopf, E, Scripcariu, D, Scripcariu, V, Selvasekar, C, Shaikh, I, Simpson, A, Skeie-Jensen, T, Smart, Nj, Smart, P, Smith, Jj, Solbakken, Am, Solomon, Mj, Sørensen, Mm, Sorrentino, L, Steele, Sr, Steffens, D, Stitzenberg, K, Stocchi, L, Stylianides, Na, Swartling, T, Spasojevic, M, Sumrien, H, Sutton, Pa, Swartking, T, Takala, H, Tan, Ej, Taylor, C, Tekin, A, Tekkis, Pp, Teras, J, Thaysen, Hv, Thurairaja, R, Thorgersen, Eb, Toh, El, Tsarkov, P, Tsukada, Y, Tsukamoto, S, Tuech, Jj, Turner, Wh, Tuynman, Jb, Valente, M, van Ramshorst, Gh, van Zoggel, D, Vasquez-Jimenez, W, Vather, R, Verhoef, C, Vierimaa, M, Vizzielli, G, Voogt, Elk, Uehara, K, Urrejola, G, Wakeman, C, Warrier, Sk, Wasmuth, Hh, Waters, P, Weber, K, Weiser, Mr, Wheeler, Jmd, Wild, J, Williams, A, Wilson, M, Wolthuis, A, Yano, H, Yip, B, Yip, J, Yoo, Rn, Zappa, Ma, Winter, Dc, Surgery, CCA - Cancer Treatment and quality of life, CCA - Imaging and biomarkers, and Amsterdam Gastroenterology Endocrinology Metabolism

Subjects
Neoplasm Recurrence, Local/surgery, Humans, Surgery, Neoplasm Recurrence, Local, Pelvic Exenteration
Abstract

This document outlines the important aspects of caring for patients who have been diagnosed with advanced pelvic cancer. It is primarily aimed at those who are establishing a service that adequately caters to this patient group. The relevant literature has been summarized and an attempt made to simplify the approach to management of these complex cases.

Published
2022
Full Text
View/download PDF

2. Predicting outcomes of pelvic exenteration using machine learning

Author

Dudurych, I, Kelly, ME, Aalbers, AGJ, Aziz, NA, Abecasis, N, Abraham-Nordling, M, Akiyoshi, T, Alberda, W, Albert, M, Andric, M, Angenete, E, Antoniou, A, Auer, R, Austin, KK, Aziz, O, Baker, RP, Bali, M, Baseckas, G, Bebington, B, Bedford, M, Bednarski, BK, Beets, GL, Berg, PL, Beynon, J, Biondo, S, Boyle, K, Bordeianou, L, Bremers, AB, Brunner, M, Buchwald, P, Bui, A, Burgess, A, Burger, JWA, Burling, D, Burns, E, Campain, N, Carvalhal, S, Castro, L, Caycedo-Marulanda, A, Chan, KKL, Chang, GJ, Chew, MH, Chok, AK, Chong, P, Christensen, HK, Clouston, H, Codd, M, Collins, D, Colquhoun, AJ, Corr, A, Coscia, M, Coyne, PE, Creavin, B, Croner, RS, Damjanovic, L, Daniels, IR, Davies, M, Davies, RJ, Delaney, CP, de Wilt, JHW, Denost, Q, Deutsch, C, Dietz, D, Domingo, S, Dozois, EJ, Duff, M, Eglinton, T, Enrique-Navascues, JM, Espin-Basany, E, Evans, MD, Fearnhead, NS, Flatmark, K, Fleming, F, Frizelle, FA, Gallego, MA, Garcia-Granero, E, Garcia-Sabrido, JL, Gentilini, L, George, ML, George, V, Ghouti, L, Giner, F, Ginther, N, Glynn, R, Golda, T, Griffiths, B, Harris, DA, Hagemans, JAW, Hanchanale, V, Harji, DP, Helewa, RM, Heriot, AG, Hochman, D, Hohenberger, W, Holm, T, Hompes, R, Jenkins, JT, Kaffenberger, S, Kandaswamy, GV, Kapur, S, Kanemitsu, Y, Kelley, SR, Keller, DS, Khan, MS, Kiran, RP, Kim, H, Kim, HJ, Koh, CE, Kok, NFM, Kokelaar, R, Kontovounisios, C, Kristensen, HO, Kroon, HM, Kusters, M, Lago, V, Larsen, SG, Larson, DW, Law, WL, Laurberg, S, Lee, PJ, Limbert, M, Lydrup, ML, Lyons, A, Lynch, AC, Mantyh, C, Mathis, KL, Margues, CFS, Martling, A, Meijerink, WJHJ, Merkel, S, Mehta, AM, McArthur, DR, McDermott, FD, McGrath, JS, Malde, S, Mirnezami, A, Monson, JRT, Morton, JR, Mullaney, TG, Negoi, I, Neto, JWM, Nguyen, B, Nielsen, MB, Nieuwenhuijzen, GAP, Nilsson, PJ, Oliver, A, O'Connell, PR, O'Dwyer, ST, Palmer, G, Pappou, E, Park, J, Patsouras, D, Pellino, G, Peterson, AC, Poggioli, G, Proud, D, Quinn, M, Quyn, A, Radwan, RW, Rasheed, S, Rasmussen, PC, Regenbogen, SE, Renehan, A, Rocha, R, Rochester, M, Rohila, J, Rothbarth, J, Rottoli, M, Roxburgh, C, Rutten, HJT, Ryan, EJ, Safar, B, Sagar, PM, Sahai, A, Saklani, A, Sammour, T, Sayyed, R, Schizas, AMP, Schwarzkopf, E, Scripcariu, V, Selvasekar, C, Shaikh, I, Shellawell, G, Shida, D, Simpson, A, Smart, NJ, Smart, P, Smith, JJ, Solbakken, AM, Solomon, MJ, Sorensen, MM, Steele, SR, Steffens, D, Stitzenberg, K, Stocchi, L, Stylianides, NA, Swartling, T, Sumrien, H, Sutton, PA, Swartking, T, Tan, EJ, Taylor, C, Tekkis, PP, Teras, J, Thurairaja, R, Toh, EL, Tsarkov, P, Tsukada, Y, Tsukamoto, S, Tuech, JJ, Turner, WH, Tuynman, JB, van Ramshorst, GH, van Zoggel, D, Vasquez-Jimenez, W, Verhoef, C, Vizzielli, G, Voogt, ELK, Uehara, K, Wakeman, C, Warrier, S, Wasmuth, HH, Weber, K, Weiser, MR, Wheeler, JMD, Wild, J, Wilson, M, Wolthuis, A, Yano, H, Yip, B, Yip, J, Yoo, RN, Winter, DC, Dudurych, I, Kelly, ME, Aalbers, AGJ, Aziz, NA, Abecasis, N, Abraham-Nordling, M, Akiyoshi, T, Alberda, W, Albert, M, Andric, M, Angenete, E, Antoniou, A, Auer, R, Austin, KK, Aziz, O, Baker, RP, Bali, M, Baseckas, G, Bebington, B, Bedford, M, Bednarski, BK, Beets, GL, Berg, PL, Beynon, J, Biondo, S, Boyle, K, Bordeianou, L, Bremers, AB, Brunner, M, Buchwald, P, Bui, A, Burgess, A, Burger, JWA, Burling, D, Burns, E, Campain, N, Carvalhal, S, Castro, L, Caycedo-Marulanda, A, Chan, KKL, Chang, GJ, Chew, MH, Chok, AK, Chong, P, Christensen, HK, Clouston, H, Codd, M, Collins, D, Colquhoun, AJ, Corr, A, Coscia, M, Coyne, PE, Creavin, B, Croner, RS, Damjanovic, L, Daniels, IR, Davies, M, Davies, RJ, Delaney, CP, de Wilt, JHW, Denost, Q, Deutsch, C, Dietz, D, Domingo, S, Dozois, EJ, Duff, M, Eglinton, T, Enrique-Navascues, JM, Espin-Basany, E, Evans, MD, Fearnhead, NS, Flatmark, K, Fleming, F, Frizelle, FA, Gallego, MA, Garcia-Granero, E, Garcia-Sabrido, JL, Gentilini, L, George, ML, George, V, Ghouti, L, Giner, F, Ginther, N, Glynn, R, Golda, T, Griffiths, B, Harris, DA, Hagemans, JAW, Hanchanale, V, Harji, DP, Helewa, RM, Heriot, AG, Hochman, D, Hohenberger, W, Holm, T, Hompes, R, Jenkins, JT, Kaffenberger, S, Kandaswamy, GV, Kapur, S, Kanemitsu, Y, Kelley, SR, Keller, DS, Khan, MS, Kiran, RP, Kim, H, Kim, HJ, Koh, CE, Kok, NFM, Kokelaar, R, Kontovounisios, C, Kristensen, HO, Kroon, HM, Kusters, M, Lago, V, Larsen, SG, Larson, DW, Law, WL, Laurberg, S, Lee, PJ, Limbert, M, Lydrup, ML, Lyons, A, Lynch, AC, Mantyh, C, Mathis, KL, Margues, CFS, Martling, A, Meijerink, WJHJ, Merkel, S, Mehta, AM, McArthur, DR, McDermott, FD, McGrath, JS, Malde, S, Mirnezami, A, Monson, JRT, Morton, JR, Mullaney, TG, Negoi, I, Neto, JWM, Nguyen, B, Nielsen, MB, Nieuwenhuijzen, GAP, Nilsson, PJ, Oliver, A, O'Connell, PR, O'Dwyer, ST, Palmer, G, Pappou, E, Park, J, Patsouras, D, Pellino, G, Peterson, AC, Poggioli, G, Proud, D, Quinn, M, Quyn, A, Radwan, RW, Rasheed, S, Rasmussen, PC, Regenbogen, SE, Renehan, A, Rocha, R, Rochester, M, Rohila, J, Rothbarth, J, Rottoli, M, Roxburgh, C, Rutten, HJT, Ryan, EJ, Safar, B, Sagar, PM, Sahai, A, Saklani, A, Sammour, T, Sayyed, R, Schizas, AMP, Schwarzkopf, E, Scripcariu, V, Selvasekar, C, Shaikh, I, Shellawell, G, Shida, D, Simpson, A, Smart, NJ, Smart, P, Smith, JJ, Solbakken, AM, Solomon, MJ, Sorensen, MM, Steele, SR, Steffens, D, Stitzenberg, K, Stocchi, L, Stylianides, NA, Swartling, T, Sumrien, H, Sutton, PA, Swartking, T, Tan, EJ, Taylor, C, Tekkis, PP, Teras, J, Thurairaja, R, Toh, EL, Tsarkov, P, Tsukada, Y, Tsukamoto, S, Tuech, JJ, Turner, WH, Tuynman, JB, van Ramshorst, GH, van Zoggel, D, Vasquez-Jimenez, W, Verhoef, C, Vizzielli, G, Voogt, ELK, Uehara, K, Wakeman, C, Warrier, S, Wasmuth, HH, Weber, K, Weiser, MR, Wheeler, JMD, Wild, J, Wilson, M, Wolthuis, A, Yano, H, Yip, B, Yip, J, Yoo, RN, and Winter, DC

Abstract

AIM: We aim to compare machine learning with neural network performance in predicting R0 resection (R0), length of stay > 14 days (LOS), major complication rates at 30 days postoperatively (COMP) and survival greater than 1 year (SURV) for patients having pelvic exenteration for locally advanced and recurrent rectal cancer. METHOD: A deep learning computer was built and the programming environment was established. The PelvEx Collaborative database was used which contains anonymized data on patients who underwent pelvic exenteration for locally advanced or locally recurrent colorectal cancer between 2004 and 2014. Logistic regression, a support vector machine and an artificial neural network (ANN) were trained. Twenty per cent of the data were used as a test set for calculating prediction accuracy for R0, LOS, COMP and SURV. Model performance was measured by plotting receiver operating characteristic (ROC) curves and calculating the area under the ROC curve (AUROC). RESULTS: Machine learning models and ANNs were trained on 1147 cases. The AUROC for all outcome predictions ranged from 0.608 to 0.793 indicating modest to moderate predictive ability. The models performed best at predicting LOS > 14 days with an AUROC of 0.793 using preoperative and operative data. Visualized logistic regression model weights indicate a varying impact of variables on the outcome in question. CONCLUSION: This paper highlights the potential for predictive modelling of large international databases. Current data allow moderate predictive ability of both complex ANNs and more classic methods.

Published
2020

3. Simultaneous pelvic exenteration and liver resection for primary rectal cancer with synchronous liver metastases: results from the PelvEx Collaborative

Author

Kelly, M. E., Aalbers, A. G. J., Abdul Aziz, N., Abecasis, N., Abraham‐Nordling, M., Akiyoshi, T., Alberda, W., Albert, M., Andric, M., Angenete, E., Antoniou, A., Auer, R., Austin, K. K., Aziz, O., Baker, R. P., Bali, M., Baseckas, G., Bebington, B., Bednarski, B. K., Beets, G. L., Berg, P. L., Beynon, J., Biondo, S., Boyle, K., Bordeianou, L., Bremers, A. B., Brunner, M., Buchwald, P., Bui, A., Burgess, A., Burger, J. W. A., Burling, D., Burns, E., Campain, N., Carvalhal, S., Castro, L., Caycedo‐Marulanda, A., Chan, K. K. L., Chang, G. J., Chew, M. H., Chong, P. C., Christensen, H. K., Clouston, H., Codd, M., Collins, D., Colquhoun, A. J., Corr, A., Coscia, M., Coyne, P. E., Creavin, B., Croner, R. S., Damjanovic, L., Daniels, I. R., Davies, M., Davies, R. J., Delaney, C. P., Denost, Q., Deutsch, C., Dietz, D., Domingo, S., Dozois, E. J., Duff, M., Eglinton, T., Enrique‐Navascues, J. M., Espin‐Basany, E., Evans, M. D., Fearnhead, N. S., Flatmark, K., Fleming, F., Frizelle, F. A., Gallego, M. A., Garcia‐Granero, E., Garcia‐Sabrido, J. L., Gentilini, L., George, M. L., Ghouti, L., Giner, F., Ginther, N., Glynn, R., Golda, T., Griffiths, B., Harris, D. A., Hagemans, J. A. W., Hanchanale, V., Harji, D. P., Helewa, R. M., Heriot, A. G., Hochman, D., Hohenberger, W., Holm, T., Hompes, R., Jenkins, J. T., Kaffenberger, S., Kandaswamy, G. V., Kapur, S., Kanemitsu, Y., Kelley, S. R., Keller, D. S., Khan, M. S., Kiran, R. P., Kim, H., Kim, H. J., Koh, C. E., Kok, N. F. M., Kokelaar, R., Kontovounisios, C., Kristensen, H. Ø., Kroon, H. M., Kusters, M., Lago, V., Larsen, S. G., Larson, D. W., Law, W. L., Laurberg, S., Lee, P. J., Limbert, M., Lydrup, M. L., Lyons, A., Lynch, A. C., Mantyh, C., Mathis, K. L., Margues, C. F. S., Martling, A., Meijerink, W. J. H. J., Merkel, S., Mehta, A. M., McArthur, D. R., McDermott, F. D., McGrath, J. S., Malde, S., Mirnezami, A., Monson, J. R. T., Morton, J. R., Mullaney, T. G., Negoi, I., Neto, J. W. M., Nguyen, B., Nielsen, M. B., Nieuwenhuijzen, G. A. P., Nilsson, P. J., O’Connell, P. R., O’Dwyer, S. T., Palmer, G., Pappou, E., Park, J., Patsouras, D., Pellino, G., Peterson, A. C., Poggioli, G., Proud, D., Quinn, M., Quyn, A., Radwan, R. W., van Ramshorst, G. H., Rasheed, S., Rasmussen, P. C., Regenbogen, S. E., Renehan, A., Rocha, R., Rochester, M., Rohila, J., Rothbarth, J., Rottoli, M., Roxburgh, C., Rutten, H. J. T., Ryan, É. J., Safar, B., Sagar, P. M., Sahai, A., Saklani, A., Sammour, T., Sayyed, R., Schizas, A. M. P., Schwarzkopf, E., Scripcariu, V., Selvasekar, C., Shaikh, I., Hellawell, G., Shida, D., Simpson, A., Smart, N. J., Smart, P., Smith, J. J., Solbakken, A. M., Solomon, M. J., Sørensen, M. M., Steele, S. R., Steffens, D., Stitzenberg, K., Stocchi, L., Stylianides, N. A., Sumrien, H., Sutton, P. A., Swartking, T., Taylor, C., Tekkis, P. P., Teras, J., Thurairaja, R., Toh, E. L., Tsarkov, P., Tsukada, Y., Tsukamoto, S., Tuech, J. J., Turner, W. H., Tuynman, J. B., Vasquez‐Jimenez, W., Verhoef, C., Vizzielli, G., Voogt, E. L. K., Uehara, K., Wakeman, C., Warrier, S., Wasmuth, H. H., Weber, K., Weiser, M. R., Wheeler, J. M. D., Wild, J., Wilson, M., de Wilt, J. H. W., Wolthuis, A., Yano, H., Yip, B., Yip, J., Yoo, R. N., van Zoggel, D., Winter, D. C., Kelly, M. E., Aalbers, A. G. J., Abdul Aziz, N., Abecasis, N., Abraham‐nordling, M., Akiyoshi, T., Alberda, W., Albert, M., Andric, M., Angenete, E., Antoniou, A., Auer, R., Austin, K. K., Aziz, O., Baker, R. P., Bali, M., Baseckas, G., Bebington, B., Bednarski, B. K., Beets, G. L., Berg, P. L., Beynon, J., Biondo, S., Boyle, K., Bordeianou, L., Bremers, A. B., Brunner, M., Buchwald, P., Bui, A., Burgess, A., Burger, J. W. A., Burling, D., Burns, E., Campain, N., Carvalhal, S., Castro, L., Caycedo‐marulanda, A., Chan, K. K. L., Chang, G. J., Chew, M. H., Chong, P. C., Christensen, H. K., Clouston, H., Codd, M., Collins, D., Colquhoun, A. J., Corr, A., Coscia, M., Coyne, P. E., Creavin, B., Croner, R. S., Damjanovic, L., Daniels, I. R., Davies, M., Davies, R. J., Delaney, C. P., Denost, Q., Deutsch, C., Dietz, D., Domingo, S., Dozois, E. J., Duff, M., Eglinton, T., Enrique‐navascues, J. M., Espin‐basany, E., Evans, M. D., Fearnhead, N. S., Flatmark, K., Fleming, F., Frizelle, F. A., Gallego, M. A., Garcia‐granero, E., Garcia‐sabrido, J. L., Gentilini, L., George, M. L., Ghouti, L., Giner, F., Ginther, N., Glynn, R., Golda, T., Griffiths, B., Harris, D. A., Hagemans, J. A. W., Hanchanale, V., Harji, D. P., Helewa, R. M., Heriot, A. G., Hochman, D., Hohenberger, W., Holm, T., Hompes, R., Jenkins, J. T., Kaffenberger, S., Kandaswamy, G. V., Kapur, S., Kanemitsu, Y., Kelley, S. R., Keller, D. S., Khan, M. S., Kiran, R. P., Kim, H., Kim, H. J., Koh, C. E., Kok, N. F. M., Kokelaar, R., Kontovounisios, C., Kristensen, H. Ø., Kroon, H. M., Kusters, M., Lago, V., Larsen, S. G., Larson, D. W., Law, W. L., Laurberg, S., Lee, P. J., Limbert, M., Lydrup, M. L., Lyons, A., Lynch, A. C., Mantyh, C., Mathis, K. L., Margues, C. F. S., Martling, A., Meijerink, W. J. H. J., Merkel, S., Mehta, A. M., Mcarthur, D. R., Mcdermott, F. D., Mcgrath, J. S., Malde, S., Mirnezami, A., Monson, J. R. T., Morton, J. R., Mullaney, T. G., Negoi, I., Neto, J. W. M., Nguyen, B., Nielsen, M. B., Nieuwenhuijzen, G. A. P., Nilsson, P. J., O’Connell, P. R., O’Dwyer, S. T., Palmer, G., Pappou, E., Park, J., Patsouras, D., Pellino, G., Peterson, A. C., Poggioli, G., Proud, D., Quinn, M., Quyn, A., Radwan, R. W., van Ramshorst, G. H., Rasheed, S., Rasmussen, P. C., Regenbogen, S. E., Renehan, A., Rocha, R., Rochester, M., Rohila, J., Rothbarth, J., Rottoli, M., Roxburgh, C., Rutten, H. J. T., Ryan, É. J., Safar, B., Sagar, P. M., Sahai, A., Saklani, A., Sammour, T., Sayyed, R., Schizas, A. M. P., Schwarzkopf, E., Scripcariu, V., Selvasekar, C., Shaikh, I., Hellawell, G., Shida, D., Simpson, A., Smart, N. J., Smart, P., Smith, J. J., Solbakken, A. M., Solomon, M. J., Sørensen, M. M., Steele, S. R., Steffens, D., Stitzenberg, K., Stocchi, L., Stylianides, N. A., Sumrien, H., Sutton, P. A., Swartking, T., Taylor, C., Tekkis, P. P., Teras, J., Thurairaja, R., Toh, E. L., Tsarkov, P., Tsukada, Y., Tsukamoto, S., Tuech, J. J., Turner, W. H., Tuynman, J. B., Vasquez‐jimenez, W., Verhoef, C., Vizzielli, G., Voogt, E. L. K., Uehara, K., Wakeman, C., Warrier, S., Wasmuth, H. H., Weber, K., Weiser, M. R., Wheeler, J. M. D., Wild, J., Wilson, M., de Wilt, J. H. W., Wolthuis, A., Yano, H., Yip, B., Yip, J., Yoo, R. N., van Zoggel, D., Winter, D. C., Kelly, ME, Aalbers, AGJ, Aziz, NA, Abecasis, N, Abraham-Nordling, M, Akiyoshi, T, Alberda, W, Albert, M, Andric, M, Angenete, E, Antoniou, A, Auer, R, Austin, KK, Aziz, O, Baker, RP, Bali, M, Baseckas, G, Bebington, B, Bednarski, BK, Beets, GL, Berg, PL, Beynon, J, Biondo, S, Boyle, K, Bordeianou, L, Bremers, AB, Brunner, M, Buchwald, P, Bui, A, Burgess, A, Burger, JWA, Burling, D, Burns, E, Campain, N, Carvalhal, S, Castro, L, Caycedo-Marulanda, A, Chan, KKL, Chew, GJH, Chong, PC, Christensen, HK, Clouston, H, Codd, M, Coffins, D, Colquhoun, AJ, Corr, A, Coscia, M, Coyne, PE, Creavin, B, Croner, RS, Damjanovic, L, Daniels, R, Davies, M, Davies, RJ, Delaney, CP, Denost, Q, Deutsch, C, Dietz, D, Domingo, S, Dozois, EJ, Duff, M, Eglinton, T, Enrique-Navascues, JM, Espin-Basany, E, Evans, MD, Fearnhead, NS, Flatmark, K, Fleming, F, Frizelle, FA, Gallego, MA, Garcia-Granero, E, Garcia-Sabrido, JL, Gentilini, L, George, ML, Ghouti, L, Giner, F, Ginther, N, Glynn, R, Golda, T, Griffiths, B, Harris, DA, Hagemans, JAW, Hanchanale, V, Harji, DP, Helewa, RM, Heriot, AG, Hochman, D, Hohenberger, W, Holm, T, Hompes, R, Jenkins, JT, Kaffenberger, S, Kandaswamy, GV, Kapur, S, Kanemitsu, Y, Kelley, SR, Keller, DS, Khan, MS, Kiran, RP, Kim, H, Kim, HJ, Koh, CE, Kok, NFM, Kokelaar, R, Kontovounisios, C, Kristensen, HO, Kroon, HM, Kusters, M, Lago, V, Larsen, SG, Larson, DW, Law, WL, Laurberg, S, Lee, PJ, Limbert, M, Lydrup, ML, Lyons, A, Lynch, AC, Mantyh, C, Mathis, KL, Margues, CFS, Martling, A, Meijerink, WJHJ, Merkel, S, Mehta, AM, McArthur, DR, McDermott, FD, McGrath, JS, Malde, S, Mimezami, A, Monson, JRT, Morton, JR, Mullaney, TG, Negoi, I, Neto, JWM, Nguyen, B, Nielsen, MB, Nieuwenhuijzen, GAP, Nilsson, PJ, O'Connell, PR, O'Dwyer, ST, Palmer, G, Pappou, E, Park, J, Patsouras, D, Pellino, G, Peterson, AC, Poggioli, G, Proud, D, Quinn, M, Quyn, A, Radwan, RW, van Ramshorst, GH, Rasheed, S, Rasmussen, PC, Regenbogen, SE, Renehan, A, Rocha, R, Rochester, M, Rohila, J, Rothbarth, J, Rottoli, M, Roxburgh, C, Rutten, HJT, Ryan, EJ, Safar, B, Sagar, PM, Sahai, A, Saklani, A, Sammour, T, Sayyed, R, Schizas, AMP, Schwarzkopf, E, Scripcariu, V, Selvasekar, C, Shaikh, I, Hellawell, G, Shida, D, Simpson, A, Smart, NJ, Smart, P, Smith, JJ, Solbakken, AM, Solomon, MJ, Sorensen, MM, Steele, SR, Steffens, D, Stitzenberg, K, Stocchi, L, Stylianides, NA, Sumrien, H, Sutton, PA, Swanking, T, Taylor, C, Tekkis, PP, Teras, J, Thurairaja, R, Toh, EL, Tsarkov, P, Tsukada, Y, Tsukamoto, S, Tuech, JJ, Turner, WH, Tuynman, JB, Vasquez-Jimenez, W, Verhoef, C, Vizzielli, G, Voogt, ELK, Uehara, K, Wakeman, C, Warner, S, Wasmuth, HH, Weber, K, Weiser, MR, Wheeler, JMD, Wild, J, Wilson, M, de Wilt, JHW, Wolthuis, A, Yano, H, Yip, B, Yip, J, Yoo, RN, van Zoggel, D, Winter, DC, Surgery, CCA - Cancer Treatment and quality of life, and Amsterdam Gastroenterology Endocrinology Metabolism

Subjects
Male, medicine.medical_specialty, Adolescent, Colorectal cancer, survival outcomes, medicine.medical_treatment, surgical outcome, surgical outcomes, Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14], 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Interquartile range, medicine, Humans, liver metastasi, Rectal cancer, Retrospective Studies, Pelvic exenteration, business.industry, Rectal Neoplasms, Mortality rate, Liver Neoplasms, Gastroenterology, Postoperative complication, Perioperative, medicine.disease, Surgery, Pelvic Exenteration, liver metastasis, Treatment Outcome, 030220 oncology & carcinogenesis, international collaboration, Resection margin, 030211 gastroenterology & hepatology, Hepatectomy, Neoplasm Recurrence, Local, business
Abstract

Aim: At presentation, 15–20% of patients with rectal cancer already have synchronous liver metastases. The aim of this study was to determine the surgical and survival outcomes in patients with advanced rectal cancer who underwent combined pelvic exenteration and liver (oligometastatic) resection. Method: Data from 20 international institutions that performed simultaneous pelvic exenteration and liver resection between 2007 and 2017 were accumulated. Primarily, we examined perioperative outcomes, morbidity and mortality. We also assessed the impact that margin status had on survival. Results: Of 128 patients, 72 (56.2%) were men with a median age of 60 years [interquartile range (IQR) 15 years]. The median size of the liver oligometastatic deposits was 2 cm (IQR 1.8 cm). The median duration of surgery was 406 min (IQR 240 min), with a median blood loss of 1090 ml (IQR 2010 ml). A negative resection margin (R0 resection) was achieved in 73.5% of pelvic exenterations and 66.4% of liver resections. The 30-day mortality rate was 1.6%, and 32% of patients had a major postoperative complication. The 5-year overall survival for patients in whom an R0 resection of both primary and metastatic disease was achieved was 54.6% compared with 20% for those with an R1/R2 resection (P = 0.006). Conclusion: Simultaneous pelvic exenteration and liver resection is feasible, with acceptable morbidity and mortality. Simultaneous resection should only be performed where an R0 resection of both pelvic and hepatic disease is anticipated.

Published
2020
Full Text
View/download PDF

4. The role of surgery in high risk and advanced prostate cancer: A narrative review.

Author

Roy CSD, Sachdeva A, Kandaswamy GV, and Rai BP

Abstract

Patients with high-risk and advanced prostate cancer require safe and efficacious therapies likely to offer a survival advantage while minimizing the treatment-related toxicities. Improvements in the surgical technology, diagnostic modalities, radiological staging, and risk stratification have made surgery for high-risk and advanced prostate cancer a safe and feasible option. In this review, we outline the role of radical prostatectomy in high-risk localized, locally advanced, and metastatic prostate cancer. We overview available data evaluating the use of surgery in the context of a multi-modal approach and highlight ongoing trials in this area. Furthermore, the role of surgery as a non-systemic modality for metastasis-directed therapy (MDT) is also described. Emerging imaging modalities enabling more accurate staging and longer follow-up of clinical trials for prognostic endpoints are anticipated to help identify patient cohorts and treatment strategies, where the use of surgical treatments is likely to provide oncological benefits and acceptable toxicity.

Published
2021
Full Text
View/download PDF

5. Accuracy of ultrasound vs computed tomography scan for upper urinary tract malignancies and development of a risk-based diagnostic algorithm for haematuria in a UK tertiary centre.

Author

David RA, James B, Adeloye D, Bose P, Rai B, and KandaSwamy GV

Subjects
Adult, Aged, Aged, 80 and over, Carcinoma, Transitional Cell complications, Female, Hematuria etiology, Humans, Kidney Neoplasms complications, Male, Middle Aged, Reproducibility of Results, Risk Assessment, Tertiary Care Centers, Tomography, X-Ray Computed, Ultrasonography, United Kingdom, Ureteral Neoplasms complications, Young Adult, Algorithms, Carcinoma, Transitional Cell diagnostic imaging, Kidney Neoplasms diagnostic imaging, Ureteral Neoplasms diagnostic imaging
Abstract

Purpose: There is no consensus across guidelines on a diagnostic algorithm for upper urinary tract (UUT) evaluation following presentation with haematuria. Our aim is to compare the diagnostic accuracy of ultrasound (USS) compared to CT-scan for UUT malignancies and also determine the considerations important for a risk-based diagnostic protocol for haematuria., Methods: We reviewed our 'haematuria clinic' database to identify patients who had both USS and CT-scan for UUT evaluation between September 2015 and August 2017, and calculated the diagnostic accuracy of these imaging modalities for histologically confirmed UUT cancers. Furthermore, we identified risk factors in our diagnostic algorithm for haematuria and conducted regression analysis to determine their ability to predict UUT malignancies., Results: Overall, 575 patient records were studied. Age range was 21-92 years, M:F was 1.4:1, majority (81.2%) had visible haematuria, and 12 (2.1%) UUT cancers were diagnosed [renal cell carcinoma-1.4%; upper tract urothelial cancer-0.7%]. USS and CT-scan had diagnostic accuracy for UUT cancers of 95.8 and 99.1%, respectively (p < 0.001). Haematuria type was a significant consideration only on univariate analysis, while multivariate binary logistic regression showed that male gender, smoking, occupational exposure, and positive urologic history were the main risk factors associated with UUT malignancies., Conclusion: USS and CT-scan have comparably high diagnostic accuracy for detecting UUT malignancies. USS may, therefore, be considered as the first-line UUT imaging modality when utilized in a risk-based diagnostic algorithm. Larger, multicentred studies are needed to validate our findings and influence guideline development.

Published
2021
Full Text
View/download PDF

6. Detection rates of recurrent prostate cancer: 68 Gallium (Ga)-labelled prostate-specific membrane antigen versus choline PET/CT scans. A systematic review.

Author

Moghul M, Somani B, Lane T, Vasdev N, Chaplin B, Peedell C, KandaSwamy GV, and Rai BP

Abstract

Background: The aim of this work was to assess the use of prostate-specific membrane antigen (PSMA)-labelled radiotracers in detecting the recurrence of prostate cancer. PSMA is thought to have higher detection rates when utilized in positron emission tomography (PET)/computed tomography (CT) scans, particularly at lower prostate-specific antigen (PSA) levels, compared with choline-based scans., Methods: A systematic review was conducted comparing choline and PSMA PET/CT scans in patients with recurrent prostate cancer following an initial curative attempt. The primary outcomes were overall detection rates, detection rates at low PSA thresholds, difference in detection rates and exclusive detection rates on a per-person analysis. Secondary outcome measures were total number of lesions, exclusive detection by each scan on a per-lesion basis and adverse side effects., Results: Overall detection rates were 79.8% for PSMA and 66.7% for choline. There was a statistically significant difference in detection rates favouring PSMA [OR (M-H, random, 95% confidence interval (CI)) 2.27 (1.06, 4.85), p  = 0.04]. Direct comparison was limited to PSA < 2 ng/ml in two studies, with no statistically significant difference in detection rates between the scans [OR (M-H, random, 95% CI) 2.37 (0.61, 9.17) p  = 0.21]. The difference in detection on the per-patient analysis was significantly higher in the PSMA scans ( p < 0.00001). All three studies reported higher lymph node, bone metastasis and locoregional recurrence rates in PSMA., Conclusions: PSMA PET/CT has a better performance compared with choline PET/CT in detecting recurrent disease both on per-patient and per-lesion analysis and should be the imaging modality of choice while deciding on salvage and nonsystematic metastasis-directed therapy strategies., Competing Interests: Conflict of interest statement: The authors declare that there is no conflict of interest.

Published
2019
Full Text
View/download PDF

7. Establishing the pathways and indications for performing isotope bone scans in newly diagnosed intermediate-risk localised prostate cancer - results from a large contemporaneous cohort.

Author

KandaSwamy GV, Bennett A, Narahari K, Hughes O, Rees J, and Kynaston H

Subjects
Biomarkers, Tumor, Cohort Studies, Europe, Guideline Adherence statistics & numerical data, Humans, Male, Neoplasm Grading, Practice Guidelines as Topic, Predictive Value of Tests, Prostate-Specific Antigen blood, Prostatic Neoplasms blood, Prostatic Neoplasms diagnostic imaging, United Kingdom, Bone Neoplasms diagnostic imaging, Bone Neoplasms secondary, Bone and Bones diagnostic imaging, Bone and Bones pathology, Prostatic Neoplasms diagnosis, Prostatic Neoplasms pathology, Radionuclide Imaging
Abstract

Objective: To establish the pattern of isotope bone scan (BS) positivity in a large contemporaneous cohort of patients with newly diagnosed localised prostate cancer and compare with the European Association of Urology (EAU) guidelines, as imaging guidelines and clinical practice for using BS to stage newly diagnosed patients with intermediate-risk localised prostate cancer are not uniform in the literature., Patients and Methods: All patients with newly diagnosed prostate cancer were discussed in a specialist multidisciplinary team meeting and were prospectively entered in a database. Patients were categorised based on D'Amico classification. All intermediate- and high-risk patients had pelvic magnetic resonance imaging and BS unless contraindicated. The BS positivity in each group was analysed and the negative predictive value (NPV) calculated. A cohort of 2720 patients between 2002 and 2015 was retrospectively analysed., Results: Of 976 patients in the D'Amico intermediate-risk category, 99 had primary Gleason pattern 4. Only one of the 99 patients had a positive BS and there were no positive BS in patients with Gleason primary pattern 3 in the intermediate-risk category. On subgroup analysis, based on prostate-specific antigen (PSA) level and Gleason grade alone, the BS-positivity rate in patients with a PSA level of <20 ng/mL and Gleason primary pattern 4 vs 3 was 6% and 0%, respectively, resulting in 100% NPV for a positive BS with Gleason primary pattern 3 and a PSA level of <20 ng/mL. The importance of clinical T stage (cT) was also noted, as eight of 146 patients had positive BS, who were high risk on cT stage, with a PSA level of <20 ng/mL and Gleason score <8. All eight patients had Gleason primary pattern 4. By limiting BS to the population at risk (all high-risk + intermediate-risk with primary pattern 4), 68 BS per year could have been avoided in a single centre. A limitation was that there was no histological confirmation of bony metastases. Extending the BS recommendation considering the new Gleason Grade Grouping is discussed., Conclusion: This study confirms that a staging BS can be safely avoided in patients with intermediate-risk prostate cancer with Gleason primary pattern 3 and to limit performing BS in all high-risk prostate cancer and in the intermediate-risk group when the primary Gleason pattern is 4, thereby reinforcing the current recommendations of the EAU guidelines., (© 2017 The Authors BJU International © 2017 BJU International Published by John Wiley & Sons Ltd.)

Published
2017
Full Text
View/download PDF

8. Neuro-Behcet's: a diagnostic challenge.

Author

Mohan MC, Koya JM, Kandaswamy GV, Jaleel VA, Jimnaz PA, Manjuhasan S, and Ravindran V

Abstract

Behcet's disease (BD) is characterized by recurrent oral and genital ulcers and uveitis. It is also known to affect various organs; however, central nervous system involvement is rare and may cause parenchymal or vascular lesions with distinct clinical syndromes. Various viral encephalitides are important differential diagnoses. MRI may aid the correct diagnosis. This case report describes a patient with acute severe neurological involvement due to neuro-BD.

Published
2015
Full Text
View/download PDF

9. Randomized double blinded placebo controlled trial comparing diclofenac and piroxicam in management of acute renal colic and its clinical implications.

Author

KandaSwamy GV, Dhanasekaran AK, Elangovan A, John B, Viswaroop B, and Vedanayagam KS

Subjects
Acute Disease, Administration, Sublingual, Adult, Anti-Inflammatory Agents, Non-Steroidal administration & dosage, Double-Blind Method, Female, Humans, Injections, Intramuscular, Male, Middle Aged, Pain Management, Pain Measurement, Renal Colic diagnosis, Treatment Outcome, Young Adult, Diclofenac administration & dosage, Piroxicam administration & dosage, Renal Colic drug therapy
Abstract

Purpose: To compare the efficacy of sublingual piroxicam 40 mg with intramuscular diclofenac 75 mg in treatment of acute renal colic. The secondary objective was to look for factors that can affect the severity of the pain and pain relief in acute renal colic., Materials and Methods: One hundred patients with acute renal colic were randomized into two groups. Group A (n = 50) received intramuscular diclofenac and sublingual methylcobalamin. Group B (n = 50) received sublingual piroxicam 40 mg and intramuscular distilled water. Pain severity was measured using Visual Analog Scale (VAS) and verbal and facial response scales. They were followed up for 3 h. Intramuscular injection of pentazocine 30 mg with promethazine 25 mg were used as rescue drugs., Results: Both groups were comparable for age, sex distribution, body mass index (BMI), and pain duration before presentation. Significant pain relief was noticed in both groups. Sixteen percent in group A and 18% in group B had complete pain relief within 30 min (P = .75). Fifteen patients in group A and 13 patients in group B needed rescue drugs, 84% of group A and 76% of group B had complete pain relief at the end of 3 hours (P = .25). Decrease in pain by each scoring method was also comparable (P = .75). In multiple regression analysis, increasing age, positively affects the severity of pain and pain relief while increasing BMI negatively affect the initial pain relief. Acute renal colic seems to affect men more commonly than women, 81% of the study population were men. Patients with low initial pain score did not require any additional pain relief. Average pain duration before presenting to hospital is 260 min. Sixty percent of renal colics are due to stones below pelvic brim., Conclusion: The results show that sublingual piroxicam is as effective as intramuscular diclofenac. It can be easily self-administered and it overcomes the morbidity and time delay in getting intramuscular diclofenac.

Published
2015

10. Acute abdomen due to eosinophilic colitis with liver abscess.

Author

Kandaswamy GV, Kumar ST, and Jeyasingh R

Subjects
Aged, Colitis complications, Diagnosis, Differential, Diagnostic Errors, Eosinophilia complications, Humans, Liver Abscess, Pyogenic complications, Male, Staphylococcal Infections complications, Abdomen, Acute etiology, Colitis diagnosis, Eosinophilia diagnosis, Liver Abscess, Pyogenic diagnosis, Staphylococcal Infections diagnosis
Abstract

Eosinophilic colitis is an uncommon condition and rarely presents as acute abdomen. We report a 65-year-old man who presented with acute abdomen-- severe pain in upper abdomen, with pyrexia, tachycardia, guarding and right-sided intercostal tenderness--secondary to eosinophilic colitis and was successfully managed. He had additional problems in form of cirrhosis, chronic hepatitis, cholangitis, pyogenic liver abscesses and gout.

Published
2006

Catalog

Books, media, physical & digital resources
See catalog results