Interobserver variability in target volume delineation in postoperative radiochemotherapy for gastric cancer. A pilot prospective study

Agut, Cristina Moretones; León, David F. Cantú de; Navarro, Arturo; Santacruz, Olalla; Boladeras, A.; Macià, Miquel; Cambray, M.; Navarro, Valentı́; Modolell, Ignasi; Guedea, Ferrán

doi:10.1007/s12094-012-0772-8

Cited by 8 publications

(7 citation statements)

References 20 publications

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“…A common theme of many publications is the identified need for multidisciplinary input into target volume delineation. This includes involvement of surgeons, pathologists, radiologists and other interventional specialists who have been involved in the diagnostic workup . Radiologists in particular are helpful in image interpretation.…”

Section: Discussionmentioning

confidence: 99%

“…This includes involvement of surgeons, pathologists, radiologists and other interventional specialists who have been involved in the diagnostic workup. 72,87,88 Radiologists in particular are helpful in image interpretation. Dimigen et al 89 evaluated the effect of a radiologist working within an oncology department and found that radiology review of 56 CT scans led to a change in target volume in 20% of cases and OAR in 5%.…”

Section: Discussionmentioning

confidence: 99%

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A review of interventions to reduce inter‐observer variability in volume delineation in radiation oncology

et al. 2016

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A review of interventions to reduce inter‐observer variability in volume delineation in radiation oncology

et al. 2016

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“…A large inter- and intraobserver variability in target volume delineation was reported in GC patients 52, 53. In a questionnaire, 75 % of respondents indicated the elective nodal area as the major subjective difficulty 54.…”

Section: Lymph Node Considerationsmentioning

confidence: 99%

Adjuvant Radiochemotherapy versus Chemotherapy Alone for Gastric Cancer: Implications for Target Definition

Zhu

Wei

2019

J. Cancer

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The INT0116 trial was a milestone study and laid the foundation for the adjuvant radiotherapy (RT) associated to concurrent chemotherapy (CT) for the treatment of gastric cancer (GC) after gastrectomy. However, it is still controversial whether adding RT to CT could further benefit D2-dissected GC patients. The ARTIST trial indicated that the addition of RT to CT did not have a positive impact on disease-free survival (DFS). Nevertheless, in a subgroup of 396 patients with positive pathological lymph nodes, combined treatment with RT was superior to CT alone. A similar randomized Chinese trial confirmed the superiority of adding RT to CT in terms of DFS for patients with D2 lymphadenectomy. However, several previous randomized studies provided inconsistent results with the benefits of combined treatment of RT and CT. The inconsistent results of several studies may be due to the differences between tumor epidemiology, treatment policies, and treatment outcomes. During the past decade, major progress in accurate target delineation utilizing RT technology has been observed. However, even though the use of adjuvant RT doubled after the INT-0116 trial results became public, the fraction of patients receiving adjuvant RT was still low according to the SEER database. The low rate of adjuvant RT can partially be explained by concern over toxicity while undergoing RT. Several studies have also defined the specific location of locoregional recurrence for postoperative RT in GC, but these studies are still limited. A number of retrospective studies demonstrated that the most prevalent nodal recurrence was outside the D2 dissection field. In order to overcome the restricted nature of a retrospective study and provide more individual radiation field determination, additional large-scale prospective multicenter studies are required to evaluate the optimal RT target.

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“…Accurate target and organ-at-risk (OAR) delineation from CT and/or MR simulation images is an essential step in assuring accurate radiation therapy planning. [1][2][3][4] Due to the limitations of current imaging techniques in visualizing human anatomy (e.g., insufficient contrast, resolution, or both) as well as inherent anatomical variability among individuals, both manual and automated structure contouring processes are subject to errors. These errors include mislabeling, missed slices, overlapped structures, isolated voxels or small regions, extremely large or small slices, and structure volume and location distortions.…”

Section: Introductionmentioning

confidence: 99%

Automated contouring error detection based on supervised geometric attribute distribution models for radiation therapy: A general strategy

et al. 2015

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The proposed strategy can reliably identify contouring errors based upon inter- and intrastructural constraints derived from clinically approved contours. It holds great potential for improving the radiation therapy workflow. ROC and box plot analyses allow for analytically tuning of the system parameters to satisfy clinical requirements. Future work will focus on the improvement of strategy reliability by utilizing more training sets and additional geometric attribute constraints.

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Interobserver variability in target volume delineation in postoperative radiochemotherapy for gastric cancer. A pilot prospective study

Abstract: A significant IV in target delineation that can be attributed to many factors depends more on patients' characteristics than RO delineating decisions.

Cited by 8 publications

References 20 publications

A review of interventions to reduce inter‐observer variability in volume delineation in radiation oncology

A review of interventions to reduce inter‐observer variability in volume delineation in radiation oncology

Adjuvant Radiochemotherapy versus Chemotherapy Alone for Gastric Cancer: Implications for Target Definition

Automated contouring error detection based on supervised geometric attribute distribution models for radiation therapy: A general strategy

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