Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleTheranostics

SSTR-RADS Version 1.0 as a Reporting System for SSTR PET Imaging and Selection of Potential PRRT Candidates: A Proposed Standardization Framework

Rudolf A. Werner, Lilja B. Solnes, Mehrbod S. Javadi, Alexander Weich, Michael A. Gorin, Kenneth J. Pienta, Takahiro Higuchi, Andreas K. Buck, Martin G. Pomper, Steven P. Rowe and Constantin Lapa
Journal of Nuclear Medicine July 2018, 59 (7) 1085-1091; DOI: https://doi.org/10.2967/jnumed.117.206631
Rudolf A. Werner
1Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
2Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
3NET Center Würzburg, European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), University Hospital Würzburg, Würzburg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lilja B. Solnes
1Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mehrbod S. Javadi
1Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander Weich
3NET Center Würzburg, European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), University Hospital Würzburg, Würzburg, Germany
4Department of Internal Medicine II, Gastroenterology, University Hospital Würzburg, Würzburg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael A. Gorin
1Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
5James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kenneth J. Pienta
5James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Takahiro Higuchi
2Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
6Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany; and
7Department of Bio Medical Imaging, National Cardiovascular and Cerebral Research Center, Suita, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas K. Buck
2Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
3NET Center Würzburg, European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), University Hospital Würzburg, Würzburg, Germany
6Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Martin G. Pomper
1Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
5James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven P. Rowe
1Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
5James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Constantin Lapa
2Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
3NET Center Würzburg, European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), University Hospital Würzburg, Würzburg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • FIGURE 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1.

    SSTR-RADS-1A. Coronal 68Ga-DOTATOC PET whole-body maximum-intensity projection (A) demonstrating physiologic tracer distribution. No sites of abnormal uptake can be appreciated. Normal biodistribution of agent is seen, including uptake in pituitary gland, thyroid, adrenal glands, bowel, liver, and spleen (18,19). Radiotracer is excreted via urinary tract. Arrow indicates physiologic finding in uncinate process, which is also demonstrated by axial 68Ga-DOTATOC PET (B), axial CT (C), and axial 68Ga-DOTATOC PET/CT (D).

  • FIGURE 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2.

    SSTR-RADS-1B. Image of patient with increased Chromogranin A levels, referred for initial staging. Axial 68Ga-DOTATOC PET (A), axial CT (B), and axial 68Ga-DOTATOC PET/CT (C) demonstrating increased uptake in prostate (arrow), for example, caused by prostatitis or due to benign prostatic hyperplasia.

  • FIGURE 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 3.

    SSTR-RADS-2. Likely benign skeletal finding with uptake in patient with NET of pancreatic origin (G1, Ki-67 = 2%). Axial CT (A), axial 68Ga-DOTATOC PET (B), axial 68Ga-DOTATOC PET/CT (C), and coronal CT (D) showing lytic-appearing lesion involving inferior endplate of lumbar vertebral body (arrow). Strongly suspected to be degenerative (a Schmorl’s node), this intravertebral disk herniation would be classified as SSTR-RADS-2.

  • FIGURE 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 4.

    SSTR-RADS-3A. Low-level uptake in mesenteric lymph node in midabdomen of patient diagnosed with ileal NET (G1, Ki-67 = 2%). Axial 68Ga-DOTATOC PET (A), axial CT (B), and axial 68Ga-DOTATOC PET/CT (C) show small (short-axis diameter, <0.5 cm) mesenteric lymph node (arrow). Degree of focal uptake was above blood pool but lower than liver (not shown), and follow-up imaging (after 3 mo) was recommended. Depending on local practice pattern, biopsy might be considered (although biopsy of this site is difficult).

  • FIGURE 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 5.

    SSTR-RADS-3B. Moderate uptake in bone lesion in patient with small bowel NET (G2). Axial 68Ga-DOTATOC PET (A), axial CT (B), and axial 68Ga-DOTATOC PET/CT (C) show radiotracer uptake in right fifth rib (arrow). Because of CT findings along with moderate uptake on PET, follow-up imaging was recommended.

  • FIGURE 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 6.

    SSTR-RADS-3C. Patient with right invasive, lobular breast cancer (pT3, N1, M1 (liver)). Axial 68Ga-DOTATOC PET (A), axial CT (B), and axial 68Ga-DOTATOC PET/CT (C) demonstrating intense uptake in remaining right breast (a site highly atypical for NET lesion) (arrow, level 3).

  • FIGURE 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 7.

    SSTR-RADS-3D. Non–radiotracer-avid liver lesion in patient with G2 NET of pancreatic origin with history of cold and hot somatostatin analog treatment (2 cycles of PRRT; cumulative activity, 15.4 GBq of 177Lu-DOTATOC). Axial CT (A), axial 68Ga-DOTATOC PET (B), and axial 68Ga-DOTATOC PET/CT (C) show a 2.8-cm hepatic metastasis with negligible uptake above liver background (arrow). 18F-FDG PET was recommended to assess underlying intratumoral heterogeneity/dedifferentiation, with eventual need for PET-guided biopsy being likely.

  • FIGURE 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 8.

    SSTR-RADS-4. Patient with ileocecal NET (Ki-67 2%, G1), with radiotracer-avid lymph node in lower left abdomen that is too small to consider definitively disease-involved on conventional imaging. Axial 68Ga-DOTATOC PET (A), axial CT (B), and axial 68Ga-DOTATOC PET/CT (C) images show degree of uptake consistent with metastatic NET lesion (arrow, level 3). However, because short-axis diameter of lymph node was 0.6 cm (i.e., <1.0 cm), this node would generally not be considered pathologically enlarged on CT.

  • FIGURE 9.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 9.

    SSTR-RADS-5. Image of patient with extensive SSTR-positive liver lesions. Axial CT (A and B), axial 68Ga-DOTATOC PET (C), and axial 68Ga-DOTATOC PET/CT (D) clearly demonstrating 2 intrahepatic lesions with intense radiotracer uptake (level 3) and corresponding findings on CT (arrow). This scan would be categorized as SSTR-RADS-5. PRRT could definitely be considered.

  • FIGURE 10.
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 10.

    Defining overall SSTR-RADS score. Example of patient with colorectal NET (Ki-67 < 2%, G1 NET). Axial/coronal (insert) CT (A), axial 68Ga-DOTATOC PET (B), and axial 68Ga-DOTATOC PET/CT (C) reveal equivocal tracer uptake in degenerative, intravertebral disk herniation (most likely a Schmorl’s node, SSTR-RADS-2, arrow). However, axial 68Ga-DOTATOC PET (E) and axial 68Ga-DOTATOC PET/CT (F) clearly demonstrate intense uptake in liver lesion in segment III, which cannot be detected on axial CT (D) (SSTR-RADS-4), highly consistent with liver metastasis. Additionally, intense uptake in pathologically enlarged lymph node close to hilum of liver (arrow) can also be identified on both imaging modalities. As latter would be classified as SSTR-RADS-5, “highest” SSTR-RADS lesion will also designate overall PET score (i.e., SSTR-RADS-5 in this case, “overruling” other lesions). PRRT could be considered.

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1

    Overview of SSTR-RADS 1–5

    SSTR-RADSFindingUptake level*PRRT?†
    1 (benign)Known to be benign (confirmed by previous biopsy or with pathognomonic appearance on conventional/anatomic imaging).
    1ABenign lesion, characterized by biopsy or in accordance to anatomic imaging and without any abnormal uptake (Fig. 1).1Not to be considered.
    1BBenign lesion, characterized by biopsy or in accordance to anatomic imaging but with increased (focal) uptake (e.g., prostatitis, benign prostatic hyperplasia [Fig. 2], or thyroid adenoma [Supplemental Fig. 1]).2–3Not to be considered.
    2 (likely benign)Soft-tissue site atypical of metastatic NET (e.g., axillary lymph nodes); equivocal uptake in bone lesion atypical for NET (e.g., strongly suspected to be degenerative, Fig. 3).1Not to be considered.
    3Further workup (biopsy, if sampling is possible) or follow-up (f/u) imaging might be required.
    3ASuggestive of, but not definitive for, NET.1–2Not to be considered.
    Equivocal uptake in soft-tissue sites typical for NET metastases, such as in regional lymph nodes (LNs, Fig. 4). Biopsy or initial f/u imaging (SSTR PET or whole-body MRI after 3 mo) might confirm diagnosis, also depending on Ki-67/grading (21).
    3BSuggestive of, but not definitive for, NET.1–2Single lesions: locoregional procedure; increased number of lesions: PRRT.
    Uptake in bone lesions not atypical for NET (Fig. 5). Initial f/u imaging (SSTR PET or whole-body MRI f/u after 3 mo) might confirm diagnosis, also depending on Ki-67/grading (21).
    3CSuggestive of an SSTR-expressing, non-NET benign tumor or malignant process.3Not to be considered.
    Intense uptake in a site (highly) atypical for NET, for example, breast uptake (Fig. 6) (20). Tissue confirmation of tumor histology should be considered.
    3DHigh likelihood for malignant NET lesion, but negative on a SSTR PET scan.Not availableNot to be considered.‡
    Anatomic imaging representing lesion highly suggestive of being malignant (dedifferentiated NET or another type of malignancy), but demonstrating no SSTR uptake (e.g., single dedifferentiated liver metastasis, Fig. 7, or a non-NET malignancy) (6,25). 18F-FDG PET might be of value (11,26,27). Tissue confirmation of tumor histology should be considered.
    4 (NET highly likely)Positive uptake in site typical for NET lesion but lacking definitive findings on anatomic imaging.3To be considered.¶
    Intense uptake in common site typical for NET lesion, but without confirmatory findings on anatomic imaging (e.g., bone lesions or small LN, which is nonsuggestive on a conventional CT scan, Fig. 8). Because of high sensitivity and specificity of SSTR PET imaging, further confirmation by biopsy might be not necessary.
    5 (NET almost certainly present)Intense uptake in site typical for NET with corresponding findings on conventional imaging.3Definitely to be considered.
    An example would be a SSTR-expressing liver lesion with corresponding findings on a CT scan (Fig. 9).
    • ↵* Uptake levels, a 3-point qualitative assessment for defining the level of uptake (Table 2).

    • ↵† PRRT using 177Lu-/90Y-radiolabeled somatostatin analogs. Inclusion and exclusion criteria according to The Joint International Atomic Energy Agency, European Association of Nuclear Medicine, and Society of Nuclear Medicine and Molecular Imaging Practical Guidance as well as The European Neuroendocrine Tumor Society Consensus Guidelines still apply (3,23).

    • ↵‡ Depends on grading, overall tumor burden, kidney and bone marrow function, and overall SSTR expression (e.g., G2 NET patient with entirely all lesions demonstrating SSTR expression, but a single dedifferentiated lesion; a combined treatment of PRRT together with a locoregional procedure could be considered) (28,29).

    • ↵¶ On the assumption that an SSTR PET–avid lesion in a typical distribution has a very high probability of representing NET, PRRT might be considered.

    • View popup
    TABLE 2

    A 3-Point Qualitative Assessment Scoring for Defining Uptake Level in an SSTR-Avid Lesion on a SSTR PET Scan

    Uptake scoreRelative uptake
    Level 1Uptake ≤ blood pool
    Level 2Uptake > blood pool but ≤ physiologic liver uptake
    Level 3Uptake > physiologic liver uptake

Additional Files

  • Figures
  • Tables
  • Supplemental Data

    Files in this Data Supplement:

    • Supplemental Data
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 59 (7)
Journal of Nuclear Medicine
Vol. 59, Issue 7
July 1, 2018
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
SSTR-RADS Version 1.0 as a Reporting System for SSTR PET Imaging and Selection of Potential PRRT Candidates: A Proposed Standardization Framework
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
SSTR-RADS Version 1.0 as a Reporting System for SSTR PET Imaging and Selection of Potential PRRT Candidates: A Proposed Standardization Framework
Rudolf A. Werner, Lilja B. Solnes, Mehrbod S. Javadi, Alexander Weich, Michael A. Gorin, Kenneth J. Pienta, Takahiro Higuchi, Andreas K. Buck, Martin G. Pomper, Steven P. Rowe, Constantin Lapa
Journal of Nuclear Medicine Jul 2018, 59 (7) 1085-1091; DOI: 10.2967/jnumed.117.206631

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
SSTR-RADS Version 1.0 as a Reporting System for SSTR PET Imaging and Selection of Potential PRRT Candidates: A Proposed Standardization Framework
Rudolf A. Werner, Lilja B. Solnes, Mehrbod S. Javadi, Alexander Weich, Michael A. Gorin, Kenneth J. Pienta, Takahiro Higuchi, Andreas K. Buck, Martin G. Pomper, Steven P. Rowe, Constantin Lapa
Journal of Nuclear Medicine Jul 2018, 59 (7) 1085-1091; DOI: 10.2967/jnumed.117.206631
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • PATIENT POPULATION
    • OVERVIEW OF SSTR-RADS AND DESCRIPTION OF DIFFERENT CATEGORIES
    • SSTR-RADS-1
    • SSTR-RADS-2
    • SSTR-RADS-3
    • SSTR-RADS-4
    • SSTR-RADS-5
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

Theranostics

  • Can 177Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter Data
  • Evidence-Based Clinical Protocols to Monitor Efficacy of [177Lu]Lu-PSMA Radiopharmaceutical Therapy in Metastatic Castration-Resistant Prostate Cancer Using Real-World Data
  • 177Lu-Labeled Anticlaudin 6 Monoclonal Antibody for Targeted Therapy in Esophageal Cancer
Show more Theranostics

Clinical

  • Addition of 131I-MIBG to PRRT (90Y-DOTATOC) for Personalized Treatment of Selected Patients with Neuroendocrine Tumors
  • SUVs Are Adequate Measures of Lesional 18F-DCFPyL Uptake in Patients with Low Prostate Cancer Disease Burden
  • Hypermetabolism on Pediatric PET Scans of Brain Glucose Metabolism: What Does It Signify?
Show more Clinical

Similar Articles

Keywords

  • 68Ga-DOTATATE/-TOC
  • SSTR
  • somatostatin receptor
  • PET
  • PRRT
  • peptide receptor radionuclide therapy
  • neuroendocrine tumor
  • RADS
SNMMI

© 2025 SNMMI

Powered by HighWire