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Research ArticleOncology

Radiomics in Vulvar Cancer: First Clinical Experience Using 18F-FDG PET/CT Images

Angela Collarino, Giorgia Garganese, Simona M. Fragomeni, Lenka M. Pereira Arias-Bouda, Francesco P. Ieria, Ronald Boellaard, Vittoria Rufini, Lioe-Fee de Geus-Oei, Giovanni Scambia, Renato A. Valdés Olmos, Alessandro Giordano, Willem Grootjans and Floris HP van Velden
Journal of Nuclear Medicine February 2019, 60 (2) 199-206; DOI: https://doi.org/10.2967/jnumed.118.215889
Angela Collarino
1Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
2Institute of Nuclear Medicine, Fondazione Policlinico Universitario A. Gemelli–IRCCS, Rome, Italy
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Giorgia Garganese
3Division of Gynecologic Oncology, Department of Woman and Child Health, Fondazione Policlinico Universitario A. Gemelli–IRCCS, Rome, Italy
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Simona M. Fragomeni
3Division of Gynecologic Oncology, Department of Woman and Child Health, Fondazione Policlinico Universitario A. Gemelli–IRCCS, Rome, Italy
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Lenka M. Pereira Arias-Bouda
1Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
4Department of Nuclear Medicine, Alrijne Ziekenhuis, Leiderdorp, The Netherlands
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Francesco P. Ieria
2Institute of Nuclear Medicine, Fondazione Policlinico Universitario A. Gemelli–IRCCS, Rome, Italy
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Ronald Boellaard
5Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
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Vittoria Rufini
2Institute of Nuclear Medicine, Fondazione Policlinico Universitario A. Gemelli–IRCCS, Rome, Italy
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Lioe-Fee de Geus-Oei
1Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
6Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, The Netherlands
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Giovanni Scambia
3Division of Gynecologic Oncology, Department of Woman and Child Health, Fondazione Policlinico Universitario A. Gemelli–IRCCS, Rome, Italy
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Renato A. Valdés Olmos
1Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
7Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; and
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Alessandro Giordano
2Institute of Nuclear Medicine, Fondazione Policlinico Universitario A. Gemelli–IRCCS, Rome, Italy
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Willem Grootjans
1Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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Floris HP van Velden
1Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
8Medical Physics, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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  • FIGURE 1.
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    FIGURE 1.

    Correlation map for all radiomic features. Red = high positive correlation; blue = high negative correlation; white = no correlation.

  • FIGURE 2.
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    FIGURE 2.

    Estimated Kaplan–Meier curves for PFS of SUVmax (A), OS of SUVmax (B), PFS of local entropy (C), OS of local entropy (D), PFS of 3D maximum diameter (E), OS of 3D maximum diameter (F), PFS of Moran’s I (G), and OS Moran’s I (H).

  • FIGURE 3.
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    FIGURE 3.

    From left to right, transverse, coronal, and sagittal 18F-FDG PET/CT images of 2 women with vulvar carcinoma. (Top) An 81-y-old woman who had anterior midline 4-cm-diamter tumor with heterogeneous 18F-FDG uptake and relatively high Moran’s I (0.0924). Inguinal lymph node recurrence and death occurred 4 and 16 mo after surgery, respectively. (Bottom) A 74-y-old woman who had posterior midline 3-cm-diamter tumor with homogeneous 18F-FDG uptake and low Moan I (0.0213). At time of last follow-up, patient was alive and without recurrence.

Tables

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    TABLE 1

    Characteristics of the 40 Patients

    CharacteristicData
    Mean age ± SD (y)70 ± 10
    Mean body mass index (kg/m2)27 (range, 16–42)
    Mean time ± SD between PET/CT and surgery (d)20 ± 17 (range, 1–74)
    Primary vulvar tumor site
     Anterior20 (50)
     Lateral17 (42.5)
     Posterior3 (7.5)
    Tumor growth pattern
     Exophytic29 (72.5)
     Ulcerative7 (17.5)
     Infiltrative4 (10)
    Neighboring tissues involved
     Extravulvar skin4 (10)
     Urologic tract4 (10)
     None32 (80)
    Vulvar surgery
     Partial vulvectomy6 (15)
     Radical vulvectomy34 (85)
    Inguinofemoral lymph node surgery
     Unilateral0
     Bilateral39 (97.5)
     None1 (2.5)
     SLNB3 (8)
     SLNB followed by IFL16 (41)
     ILF20 (51)
    Pelvic lymph node surgery
     Unilateral8 (20)
     Bilateral1 (2.5)
     None31 (77.5)
    • SLNB = sentinel lymph node biopsy; IFL 5 inguinofemoral lymphadenectomy.

    • Data are n followed by percentage in parentheses, unless otherwise specified.

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    TABLE 2

    Histopatologic Characteristics, Staging, and Postoperative Therapy of the 40 Patients

    CharacteristicData
    Tumor diameter (mm)
     Median50 (range, 30–90)
     26–4017 (42.5)
     >4023 (57.5)
    Histologic grade
     G12 (5)
     G232 (80)
     G36 (15)
    Depth of stromal invasion (mm)
     Median9 (range, 4–20)
     1–43
     >534
     Unknown3
    Resection margin status
     R032 (80)
     R14 (10)
     VIN4 (10)
    Lymph-vascular space invasion
     Yes19 (47.5)
     No21 (52.5)
    Metastatic lymph nodes
     Yes23 (57.5)
     No17 (42.5)
    Extracapsular invasion of metastatic lymph nodes
     Yes12 (52)
     No11 (48)
    Median no. of removed lymph nodes17 (range, 0–28)
    Median no. of metastatic lymph nodes1 (range, 0–7)
    Median size of lymph node metastases (mm)13 (range, 1–27)
    FIGO stage
     IB5 (12.5)
     II12 (30)
     III18 (45)
     IVA5 (12.5)
    Adjuvant therapy
     Yes27 (67.5)
     No13 (32.5)
    • G1 = well differentiated; G2 = moderately differentiated; G3 = poorly differentiated; R0 = no tumor; R1 = microscopic tumor; VIN = vulvar intraepithelial neoplasia; FIGO = International Federation of Gynecology and Obstetrics.

    • Data are n followed by percentage in parentheses, unless otherwise specified.

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    TABLE 3

    Follow-Up Closeout Data (February 2018)

    ParameterData
    Follow-up for entire study (mo)
     Median15 (range, 2–50)
     Mean ± SD19 ± 13
    Follow-up for surviving patients (mo)
     Median26 (range, 6–50)
     Mean ± SD25 ± 13
    PFS
     Median10 (range, 2–50)
     Mean ± SD17 ± 14
    OS
     Median16 (range, 3–50)
     Mean ± SD20 ± 13
    Local or distant recurrence (n)18 (45%)*
    Death (n)18 (45%)†
    • ↵* 15 of these 18 patients died due to cancer progression.

    • ↵† During median follow-up of 11 mo (mean, 12 ± 8; range, 2–34).

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    TABLE 4

    Association Between Histopathologic Characteristics and Imaging Features Derived from 18F-FDG PET Images

    Histologic gradeLymph-vascular space invasionMetastatic lymph nodes
    Radiomic feature1–23PDepth of invasion (mm)NoYesPNoYesP
    SUVmax12.1 ± 4.213.9 ± 3.00.3R2 = 0.0711.2 ± 3.213.7 ± 4.480.0511.5 ± 4.213.0 ± 3.90.2
    Local entropy3.9 ± 0.113.9 ± 0.091R2 = 0.103.9 ± 0.123.9 ± 0.100.63.9 ± 0.103.9 ± 0.110.4
    Maximum 3D diameter48.5 ± 19.444.6 ± 16.10.8R2 = 0.0847.6 ± 22.048.3 ± 15.00.746.9 ± 20.248.6 ± 18.00.9
    Moran’s I0.062 ± 0.0180.057 ± 0.0210.8R2 = 0.0130.059 ± 0.0180.064 ± 0.0200.60.062 ± 0.0170.061 ± 0.0200.9
    • R2 indicates the coefficient of determination.

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    TABLE 5

    Univariate and Multivariate Cox Regression Analysis for PFS and OS

    PFSOS
    ParameterHazard ratioPHazard ratioP
    Univariate Cox regression analysis
     Age1.1 (1.0–1.1)0.061.1 (1.0–1.1)0.006
     Maximum diameter of primary tumor1.0 (0.8–1.4)0.91.1 (1.0–1.1)0.6
     Histologic grade0.80.3
      I–II11
      III0.9 (0.3–3.0)0.6 (0.2–1.7)
     Lymph-vascular space invasion2.3 (0.9–6.1)0.083.0 (1.1–7.9)0.03
     Depth of stromal invasion1.0 (0.9–1.2)0.41.1 (0.9–1.2)0.4
     Resection margin status0.60.4
      R011
      R12.5 (0.3–18.7)3.3 (0.4–25.3)
      VIN1.9 (0.2–21.4)2.5 (0.2–27.4)
     Metastatic lymph nodes*2.1 (0.7–5.9)0.23.0 (1.0–9.2)0.05
     Bilateral metastatic lymph nodes3.0 (1.2–7.6)0.022.7 (1.0–6.8)0.04
     Number of metastatic lymph nodes*1.3 (1.0–1.5)0.021.3 (1.0–1.5)0.03
     Extracapsular invasion of metastatic lymph nodes5.3 (2.1–13.7)<0.00014.2 (1.6–10.6)0.003
     FIGO stage0.40.1
      IB11
      II0.6 (0.1–3.9)0.7 (0.01–5.0)
      III0.3 (0.06–1.5)0.4 (0.05–2.6)
      IVA0.8 (0.2–3.0)1.7 (0.4–7.6)
     Radiomic feature
      SUVmax1.0 (0.9–1.2)0.61.0 (0.9–1.1)0.6
      Local entropy1.7 (0.03–99.1)0.80.6 (0–33.2)0.8
      3D maximum diameter1.0 (1.0–1.0)0.51.0 (1.0–1.0)0.8
      Moran’s I1.3 (1.0–1.6)0.061.3 (1.0–1.7)0.03
    Multivariate Cox regression analysis
     Iterative forward selection
      Extracapsular invasion9.5 (3.1–28.6)<0.00016.5 (2.3–18.4)<0.0001
      Moran’s I1.6 (1.2–2.3)0.031.5 (1.1–2.1)0.009
     Iterative backward selection
      Extracapsular invasion9.5 (3.1–28.6)0.00014.3 (1.4–12.6)0.009
      Moran’s I1.6 (1.2–2.3)0.031.4 (1.1–2.0)0.02
    • ↵* Metastatic lymph nodes indicates patients with metastatic lymph nodes; number of metastatic lymph nodes is the number of metastatic lymph nodes per patient.

    • R0 = no tumor; R1 = microscopic tumor; VIN = vulvar intraepithelial neoplasia; FIGO = International Federation of Gynecology and Obstetrics.

    • Data in parentheses are 95% confidence intervals.

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Journal of Nuclear Medicine: 60 (2)
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Radiomics in Vulvar Cancer: First Clinical Experience Using 18F-FDG PET/CT Images
Angela Collarino, Giorgia Garganese, Simona M. Fragomeni, Lenka M. Pereira Arias-Bouda, Francesco P. Ieria, Ronald Boellaard, Vittoria Rufini, Lioe-Fee de Geus-Oei, Giovanni Scambia, Renato A. Valdés Olmos, Alessandro Giordano, Willem Grootjans, Floris HP van Velden
Journal of Nuclear Medicine Feb 2019, 60 (2) 199-206; DOI: 10.2967/jnumed.118.215889

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Radiomics in Vulvar Cancer: First Clinical Experience Using 18F-FDG PET/CT Images
Angela Collarino, Giorgia Garganese, Simona M. Fragomeni, Lenka M. Pereira Arias-Bouda, Francesco P. Ieria, Ronald Boellaard, Vittoria Rufini, Lioe-Fee de Geus-Oei, Giovanni Scambia, Renato A. Valdés Olmos, Alessandro Giordano, Willem Grootjans, Floris HP van Velden
Journal of Nuclear Medicine Feb 2019, 60 (2) 199-206; DOI: 10.2967/jnumed.118.215889
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