Evidence map›Paper›PMID 35279418›Full record

ArticleClinical genitourinary cancer2022

Automated Bone Scan Index to Optimize Prostate Cancer Working Group Radiographic Progression Criteria for Men With Metastatic Castration-Resistant Prostate Cancer.

Aseem Anand, Glenn Heller, Joseph Fox, Daniel C Danila, Anders Bjartell, Lars Edenbrandt, Steven M Larson, Howard I Scher, Michael J Morris

Open access · hybridAbstract read
In one paragraph

Article in Clinical genitourinary cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Automated Imaging as an Adjunct to Serum and Clinical Biomarkers: A New Validated Prediction Tool for Metastatic Castration-Resistant Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Aseem AnandDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Translational Medicine, Division of Urological Cancers, Malmö, Lund University, Lund, Sweden.
Glenn HellerDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Joseph FoxDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Daniel C DanilaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY; Weill Cornell Medical College, New York, NY.
Anders BjartellDepartment of Translational Medicine, Division of Urological Cancers, Malmö, Lund University, Lund, Sweden.
Lars EdenbrandtDepartment of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Clinical Physiology, Skåne University Hospital, Lund University, Malmö, Sweden.
Steven M LarsonDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Weill Cornell Medical College, New York, NY.
Howard I ScherDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY; Weill Cornell Medical College, New York, NY.
Michael J MorrisDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY; Weill Cornell Medical College, New York, NY. Electronic address: morrism@mskcc.org.
Memorial Sloan Kettering Cancer Center · USLund University · SE

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Yu Chen, MICHAEL J MORRIS · 2001 to 2026
$63.0M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629
6 · The paper itself

Abstract

introductionRadiographic progression-free survival (rPFS) by Prostate Cancer Working Group (PCWG) criteria is a radiographic endpoint. The automated bone scan index (aBSI) quantifies osseous disease burden on bone scintigraphy as a percentage of total skeletal weight. Using the aBSI, we sought to quantify increase in tumor burden represented by PCWG progression criteria, and to determine the interval increase that best associates with overall survival (OS). PATIENT AND

methodsRetrospective analysis of trials using androgen receptor axis-targeted drugs for metastatic castration resistant prostate cancer patients (mCRPC). aBSI increase in bone disease was assessed from baseline scan to time-to-progression (per PCWG criteria). Threshold for time to aBSI increase were explored and the association between each time-to-threshold and OS was computed.

resultsA total of 169 mCPRC patients had bone scans available for aBSI analysis. Of these, 90 (53%) had progression in bone meeting PCWG criteria. Total aBSI increase in patients meeting PCWG criteria was 1.22 (interquartile range [IQR]: 0.65-2.49), with a median relative increase of 109% (IQR: 40%-377%). Median aBSI at baseline was 3.1 (IQR: 1.3-7.1). The best association between OS and time-to-progression occurred with an absolute increase in aBSI equal to 0.6 (Kendall's tau 0.52).

conclusionAn absolute increase of 0.6 or more in aBSI from the first follow-up scan results in the highest association with OS in patients with mCRPC. The rPFS by PCWG, identified progression at nearly twice this tumor burden, suggesting that aBSI may be used to further develop the PCWG criteria without degrading its association with OS.

Indexed as

Bone NeoplasmsProstatic Neoplasms, Castration-ResistantBone and BonesHumansMaleProstateRetrospective Studiesbone metastasesclinical trials endpointsImaging biomarkers

Identifiers

PMID35279418
PMCPMC10039455
OpenAlexW4210832299

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.