{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T15:45:05Z","timestamp":1761752705458,"version":"build-2065373602"},"reference-count":27,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T00:00:00Z","timestamp":1582761600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJU International"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To present our proof of concept with semi\u2010automatic image recognition\/segmentation technology for calculation of tumour\/parenchyma volume.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We reviewed Wilms' tumours (WTs) between 2000 and 2018, capturing computed tomography images at baseline, after neoadjuvant chemotherapy (NaC) and postoperatively. Images were uploaded into MATLAB\u20103\u2010D volumetric image processing software. The program was trained by two clinicians who supervised the demarcation of tumour and parenchyma, followed by automatic recognition and delineation of tumour margins on serial imaging, and differentiation from uninvolved renal parenchyma. Volume was automatically calculated for both.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      During the study period, 98 patients were identified. Of these, based on image quality and availability, 32 (38 affected moieties) were selected. Most patients (65%) were girls, diagnosed at age 50 \u00b1 37\u00a0months of age. NaC was employed in 64% of patients. Surgical management included 27 radical and 11 partial nephrectomies. Automated volume assessment demonstrated objective response to NaC for unilateral and bilateral tumours (68 \u00b1 20% and 53 \u00b1 39%, respectively), as well as preservation on uninvolved parenchyma with partial nephrectomy (70 \u00b1 46\u00a0cm\n                      <jats:sup>3<\/jats:sup>\n                      at presentation to 57 \u00b1 41\u00a0cm\n                      <jats:sup>3<\/jats:sup>\n                      post\u2010surgery).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Volumetric analysis is feasible and allows objective assessment of tumour and parenchyma volume in response to chemotherapy and surgery. Our data show changes after therapy that may be otherwise difficult to quantify. Use of such technology may improve surgical planning and quantification of response to treatment, as well as serving as a tool to predict renal reserve and long\u2010term changes in renal function.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/bju.15026","type":"journal-article","created":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T15:15:56Z","timestamp":1580742956000},"page":"695-701","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Volumetric assessment of unaffected parenchyma and Wilms\u2019 tumours: analysis of response to chemotherapy and surgery using a semi\u2010automated segmentation algorithm in children with renal neoplasms"],"prefix":"10.1111","volume":"125","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0598-1824","authenticated-orcid":false,"given":"Mandy","family":"Rickard","sequence":"first","affiliation":[{"name":"Division of Urology Hospital for Sick Children and Department of Surgery University of Toronto Toronto ON Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Fernandez","sequence":"additional","affiliation":[{"name":"Division of Urology Hospital for Sick Children and Department of Surgery University of Toronto Toronto ON Canada"},{"name":"Division of Urology Hospital Universitario San Ignacio Pontificia Universidad Javeriana Bogota Colombia"},{"name":"Department of Urology Fundacion Santa Fe de Bogota Universidad de los Andes Bogota Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne\u2010Sophie","family":"Blais","sequence":"additional","affiliation":[{"name":"Division of Urology Hospital for Sick Children and Department of Surgery University of Toronto Toronto ON Canada"},{"name":"Division of Urology Centre Hospitalier Universitaire de Quebec Quebec City QC 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