Various Criteria of Lung Cancer

Response Evaluation: Overview

Tasnime HAMDENI and Farhat FNAIECH

Université de Tunis, ENSIT, LR13ES03 SIME, 1008 Montfleury, Tunisia

Asma BEN KHEDHER ZIDI

Service de Radiologie

De L’Institut Salah Azaiez hospitalo-universitaire, Boulevard du 9-Avril 1938, 1006 Tunis, Tunisia

Frederick TSHIBASU

Cliniques Universitaires de Kinshasa, République Démocratique du Congo

Roomila NAECK, Moez BOUCHOUICHA and Jean-Marc GINOUX

Laboratoire des Sciences de l’Information et des Systèmes, Signal & Image, UMR CNRS 7296, Avenue George Pompidou, BP 56, 83162 La Valette du Var Cedex, France

Abstract

Lung cancer is a widely spread disease that is really wreaking havoc these days. Therefore, clinicians should find efficient solutions to prevent the lung tumor from growing or traveling to other parts of the body. To do so, it’s important to use the imaging modalities in the interest of disease evolution assessment, as time goes by. This article is concerned with an overview of the major existing anatomic criteria used over the time for response evaluation in lung tumor. In addition, this paper summarizes the concepts of RECIST, revised RECIST, and the WHO guidelines. Added to that, an examination of the correlation between the various set of criteria is presented and the shortcomings and advantages of each one are highlighted. Further, the usefulness of these guidelines for the image processing community is also studied. We aim by this paper to help the oncology community develop the treatment procedure, forecast whether a treatment has enough merit to be used by larger numbers of patients and provide a more efficient care for the patient.

Keywords—  RECIST; WHO criteria; RECIST 1.1; Lung Cancer; Advantages; Limitations; Image Processing.

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