The utility of the 3D imaging software in the macroscopic rendering of complex gynecologic specimens

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This paper explores the practical application and utility of a new 3D imaging software for macroscopic rendering of complex gynecologic specimens and surgical pathologies.

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This paper describes the use of a 3D imaging software platform, based on pre-surgical computed tomography data with adjustable subtraction filters and 360-degree visualization, to support the surgical and pathological workup of a single 39-year-old woman with a high-grade endometrial stromal sarcoma arising in an extrapelvic endometriotic focus at the right inguinal ligament. The software allowed the authors to upload CT images, apply dermal, superficial muscle, deep muscle, and visceral subtraction filters, and better define the tumor’s origin from the inguinal ligament and the diffuse infiltration front in surrounding deep tissues, which they used to favor radical surgery. The authors explicitly frame the report as a unique case with limited generalizability and note that the key future need would be standardization of software-assisted procedures. This paper is centrally about endometriosis — it presents a sarcoma arising within an extrapelvic inguinal endometriotic nodule and uses 3D imaging to characterize that endometriosis-associated malignancy.

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Abstract

A new generation of three dimensional (3D) imaging software for the anatomical rendering of the human body, and related surgical pathologies, is postulated. Its practical application is underlined.
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The utility of the 3D imaging software in the macroscopic rendering of complex gynecologic specimens To the editor: The macroscopic rendering of a surgical gynecologic specimen can sometimes be difficult, particularly if the medical practitioner is faced with a rare and complex condition. In the last years the radiological imaging has made great strides in this direction. However, these sophisticated techniques are not without risks for the patients (e.g., ionizing radiation, contrast medium) and they cannot always be easily accessible. Under this perspective, a new generation of three- dimensional (3D) imaging softwares for the anatomical ren- dering of the human body, and related surgical pathologies, are in the development phase [1 ]. We have recently tested one of these platforms with encouraging results in a 39-year- old female, affected by a high-grade endometrial stromal sarcoma, arisen in the context of an extrapelvic endometriotic focus at the level of the right inguinal ligament. Inguinal endometriosis is a rare condition occurring in only 0.6% of women and it is usually associated with previous pelvic surgery [2]. Our patient in fact was submitted to the surgical removal of an endometriotic scar of the right parametrium 9 years ago. The occurrence of an endometrial stromal sarcoma within an endometriotic nodule is a rare, but possible, event, previously described at the level of vulva, vagina, ovary, round ligament, rectosigmoid colon, terminal ileum, abdominal wall, and sciatic nerve [ 3-7]. In our case, the sarcoma had grown from the right inguinal ligament until reaching 23.5 cm of maximal diameter. It was bordered by a discontinuous pseudo-capsule and the presurgical computed tomography (CT)-scan showed a diffuse infiltrative front of growth in the surrounding deep tissues. For this reason, the patient was promptly submitted to a software-assisted surgery with ab- dominal wall reconstruction. Starting from the CT images, the software has been developed to upload them and to assign a predefined color in relation to the signal intensity. Then, it has worked using different subtraction filters and a 3D-space vision. More in detail, it has been possible to tip and rotate the neoplasia through 360 o , removing anatomical layers, in order to view any pathological structure, and making easier to explain complex surgical correlations. The subtraction filters available were: dermal subtraction filter, superficial muscular Copyright © 2015. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. www.ejgo.org Correspondence J Gynecol Oncol Vol. 26, No. 2:168-169 http://dx.doi.org/10.3802/jgo.2015.26.2.168 pISSN 2005-0380 · eISSN 2005-0399 Fig. 1. (A) A longitudinal digitalized image of the abdomen, centered on the umbilicus, is seen without application of subtraction filters. (B) The dermal subtraction filter allows to remove the skin surface, which does not show pathological alterations. (C) The superficial muscle subtraction filter is able to subtract the superficial muscle layer and the sarcoma appears as a right-sided abdominal bulky mass (asterisk). The neoplasia shows a pseudo-capsule (yellow arrows), an area of colliquation (white arrow) and take its origin from the right inguinal ligament (white circle). The green pointer of spatial orientation is also reported. (D) The deep muscle subtraction filter points out the infiltration of the surrounding deep tissues, which appears as a color distortion (asterisk). (E) On a transversal section, the visceral subtraction filter displays the presence of a massive front of neoplastic infiltration towards the intestine (asterisk). (F) The gross appearance confirms what has been previously observed by the digitalized images. A B C D E F 3D imaging software application in gynecologic oncology J Gynecol Oncol Vol. 26, No. 2:168-169 www.ejgo.org 169 subtraction filter, deep muscular subtraction filter, and visceral subtraction filter. The software has been able to detect the neoplasia origin from the right inguinal ligament and to better define the infiltration front, favoring a radical surgery (Fig. 1). It has been proved a useful tool in the surgical and pathologi- cal approach to this unique case, never reported in literature. Its major advantages appear to be the running on portable electronic devices, such as notebook or tablet, an easy-to- use interface with intuitive functionality, and the opportunity to purchase for each unit. For the future, an implementation with standardization of software-assisted procedures could be useful in the gynecologic management of the patients affected by uncommon malignancies. CONFLICT OF INTEREST No potential conflict of interest relevant to this article was reported. REFERENCES 1. Zeller JL. New 3D imaging software opens new vistas. JAMA 2006; 296:2908-13. 2. Bergamini A, Almirante G, Taccagni G, Mangili G, Vigano P, Candiani M. Endometriosis-associated tumor at the inguinal site: report of a case diagnosed during pregnancy and literature review. J Obstet Gynaecol Res 2014;40:1132-6. 3. Kim JY, Hong SY, Sung HJ, Oh HK, Koh SB. A case of multiple meta- static low-grade endometrial stromal sarcoma arising from an ovarian endometriotic lesion. J Gynecol Oncol 2009;20:122-5. 4. Alcazar JL, Guerriero S, Ajossa S, Parodo G, Piras B, Peiretti M, et al. Extragenital endometrial stromal sarcoma arising in endometriosis. Gynecol Obstet Invest 2012;73:265-71. 5. Sato K, Ueda Y, Sugaya J, Ozaki M, Hisaoka M, Katsuda S. Extra uterine endometrial stromal sarcoma with JAZF1/JJAZ1 fusion confirmed by RT-PCR and interphase FISH presenting as an inguinal tumor. Virchows Arch 2007;450:349-53. 6. Sinha R, Sundaram M. Endometrial stromal sarcoma from endometriosis. J Minim Invasive Gynecol 2010;17:541-2. 7. Usta TA, Sonmez SE, Oztarhan A, Karacan T. Endometrial stromal sarcoma in the abdominal wall arising from scar endometriosis. J Obstet Gynaecol 2014;34:541-2. Luca Roncati 1 , Beniamino Palmieri 2 , Teresa Pusiol 3 , Francesco Piscioli 3 , Michele Scialpi 4 , Giuseppe Barbolini 1 , Antonio Maiorana 1 Departments of 1 Diagnostic and Clinical Medicine, 2 General Surgery and Surgical Specialties, University of Modena and Reggio Emilia, Modena; 3 Provincial Health Care Services, Institute of Pathology, Santa Maria del Carmine Hospital, Rovereto; 4 Department of Radiology, University of Perugia, Perugia, Italy Correspondence to Luca Roncati Department of Diagnostic and Clinical Medicine, Policlinico Hospital, University of Modena and Reggio Emilia, I-41124 Modena, Italy. E-mail: [email protected] http://dx.doi.org/10.3802/jgo.2015.26.2.168

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endometriosis

MeSH descriptors

Endometrial Neoplasms Endometriosis Image Enhancement Imaging, Three-Dimensional Sarcoma, Endometrial Stromal Software Abdomen Abdomen Abdomen Adult Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometriosis Endometriosis Endometriosis Endometriosis Female Humans

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